diff --git a/CHANGELOG b/CHANGELOG index 508050060..8be4bca18 100644 --- a/CHANGELOG +++ b/CHANGELOG @@ -3,6 +3,24 @@ - [NEW]: Support TA-Lib C 0.8.1, which is now the minimum required version. +- [CHANGE]: ``talib.stream`` is now the real streaming API of TA-Lib C 0.8.1: + ``stream.SMA(close)`` returns a handle, not a value. ``handle.value`` is the + value at the last history bar, ``handle.update(bar)`` costs O(1) and returns + that bar's value, ``handle.peek(bar)`` evaluates a forming bar without + committing it, and ``handle.copy()`` forks it. ``stream.SMA.open_and_fill()`` + returns the handle and the Function API's series in one pass. A multi-output + function answers with a named tuple. The old last-value functions -- + ``talib.stream.SMA``, ``talib.stream_SMA``, and their ``_ta_lib.pyi`` stubs -- + are gone; ``talib/stream.pyi`` types the handles instead. + + Migrating is ``stream.X(...)`` -> ``stream.X(...).value``, and the compiler + cannot find the sites for you: ``if stream.CDLDOJI(o, h, l, c):`` used to test + the pattern and now tests a handle, which is always true. + +- [NEW]: ``talib.InsufficientHistory``, raised when a stream is opened with + too little history. It is the library's one recoverable error, so it is + catchable on its own rather than as a bare ``Exception``. + - [NEW]: The 40 functions TA-Lib C added since 0.7.1: AC, ADR, AO, CMF, CMOU, COPPOCK, CUMSUM, CVI, DONCHIAN, DPO, EFI, ER, ERI, FOSC, FRACTAL, HA, HMA, KC, KDJ, MARKETFI, MASSI, NVI, PERCENTILE, PERCENTRANK, PVI, PVO, PVT, diff --git a/DEVELOPMENT b/DEVELOPMENT index 571a48a2c..7e05ddfe7 100644 --- a/DEVELOPMENT +++ b/DEVELOPMENT @@ -38,11 +38,15 @@ talib/_ta_lib.pyx need to use in the above pyx files. talib/_stream.pxi - This file contains code for interfacing a "streaming" interface to TA-Lib. + This file is generated automatically by tools/generate_stream.py: one handle + class per indicator, over TA-Lib C's streaming API. + +talib/stream.pyi + Type stubs for those handles, generated by tools/generate_stream.py --stub. tools/generate_func.py,generate_stream.py - Scripts that generate and print _func.pxi or _stream.pxi to stdout. Gets information - about all functions from the C headers of the installed TA-Lib. + Scripts that generate and print _func.pxi, _stream.pxi or stream.pyi to stdout. + Gets information about all functions from the C headers of the installed TA-Lib. If you are interested in developing new indicator functions or whatnot on the underlying TA-Lib, you must install TA-Lib from git. diff --git a/MANIFEST.in b/MANIFEST.in index 44b36dba8..ab5636483 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -5,4 +5,5 @@ include talib/*.c include talib/*.pyx include talib/*.pxd include talib/*.pxi +include talib/*.pyi include tests/*.py diff --git a/Makefile b/Makefile index d86ef416a..431ecb497 100644 --- a/Makefile +++ b/Makefile @@ -12,7 +12,13 @@ talib/_func.pxi: tools/generate_func.py talib/_stream.pxi: tools/generate_stream.py python3 tools/generate_stream.py > talib/_stream.pxi -generate: talib/_func.pxi talib/_stream.pxi +talib/stream.pyi: tools/generate_stream.py + python3 tools/generate_stream.py --stub > talib/stream.pyi + +talib/abstract.pyi: tools/generate_abstract_stub.py + python3 tools/generate_abstract_stub.py > talib/abstract.pyi + +generate: talib/_func.pxi talib/_stream.pxi talib/stream.pyi talib/abstract.pyi cython: cython talib/_ta_lib.pyx diff --git a/README.md b/README.md index 917c20a11..cd682fb39 100644 --- a/README.md +++ b/README.md @@ -532,27 +532,82 @@ slowk, slowd = STOCH(inputs, 5, 3, 0, 3, 0, prices=['high', 'low', 'open']) ## Streaming API -An experimental Streaming API was added that allows users to compute the latest -value of an indicator. This can be faster than using the Function API, for -example in an application that receives streaming data, and wants to know just -the most recent updated indicator value. +The Streaming API keeps a handle per indicator instead of recomputing from the +whole array. Opening one costs a pass over the history; every bar after that is +O(1), and each value it produces is identical to the one the Function API +reports for that bar. ```python import talib from talib import stream -close = np.random.random(100) - -# the Function API +# the Function API: the whole series, from the whole array output = talib.SMA(close) -# the Streaming API -latest = stream.SMA(close) +# the Streaming API: a handle, positioned at the end of the history +s = stream.SMA(close) +assert s.value == output[-1] -# the latest value is the same as the last output value -assert (output[-1] - latest) < 0.00001 +for price in feed: + latest = s.update(price) # one closed bar in, its value out + +s.peek(forming) # what update would return, committing nothing +fork = s.copy() # an independent handle at the same bar +``` + +`stream.SMA` takes exactly the arguments `talib.SMA` takes. A single-output +function answers with a `float` (an `int` where the Function API returns an +integer array); a multi-output one with a named tuple that still unpacks like +the Function API's tuple: + +```python +m = stream.MACD(close) +macd, macdsignal, macdhist = m.update(price) +m.value.macdhist ``` +Opening needs at least `lookback + 1` bars, which `abstract` knows, and a little +more where a function's seeding does -- so rather than computing the number, +treat a short history as "not yet": + +```python +from talib import abstract + +need = abstract.Function('RSI', timeperiod=14).lookback + 1 # 15, usually enough + +try: + s = stream.RSI(history, timeperiod=14) +except talib.InsufficientHistory: + ... # collect more bars +``` + +Leading bars that are NaN in any input are not history. They are skipped, as the +Function API skips them, and do not count toward the warm-up. A NaN or an +infinity anywhere else in the history is undefined behaviour in TA-Lib C, and +for a few window functions a handle and the Function API do then disagree. + +A bar that is not finite is likewise rejected: `update` raises and the handle is +left exactly as it was, neither its value nor its range moved. For a bar you +mean to skip rather than re-feed, say so with `advance()`, or two handles on one +feed drift a bar apart. + +If you want the series over the history as well, one pass gives both: + +```python +s, rsi = stream.RSI.open_and_fill(history, timeperiod=14) # rsi == talib.RSI(history) +``` + +A handle also reports the range it has an output for, in the input series' +coordinates, and can be told about a bar it was not fed: + +```python +s.out_range # (begidx, nbelement), as the Function API's output +s.advance() # count a skipped bar: the range moves, the value holds +``` + +A handle points into the TA-Lib C library, so it cannot be pickled or shared +with another process. Keep the history and re-open instead. + ## Supported Indicators and Functions 📋 We can show all the TA functions supported by TA-Lib, either as a `list` or diff --git a/pyproject.toml b/pyproject.toml index 1eda07516..13dec88a0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -40,4 +40,4 @@ requires-python = '>=3.9' [tool.setuptools] packages = ["talib"] -package-data = {"talib" = ["_ta_lib.pyi", "py.typed", "abstract.pyi"]} +package-data = {"talib" = ["_ta_lib.pyi", "py.typed", "abstract.pyi", "stream.pyi"]} diff --git a/talib/__init__.py b/talib/__init__.py index 5711e80df..4e5db92e9 100644 --- a/talib/__init__.py +++ b/talib/__init__.py @@ -79,12 +79,6 @@ def wrapper(*args, **kwds): result = func(*_args, **_kwds) - # check to see if we got a streaming result - first_result = result[0] if isinstance(result, tuple) else result - is_streaming_fn_result = not hasattr(first_result, '__len__') - if is_streaming_fn_result: - return result - # Series was passed in, Series gets out if use_pl: if isinstance(result, tuple): @@ -116,6 +110,7 @@ def wrapper(*args, **kwds): _ta_get_unstable_period as get_unstable_period, _ta_set_compatibility as set_compatibility, _ta_get_compatibility as get_compatibility, + InsufficientHistory, __TA_FUNCTION_NAMES__ ) except ImportError as error: @@ -141,12 +136,7 @@ def wrapper(*args, **kwds): setattr(func, func_name, wrapped_func) globals()[func_name] = wrapped_func -stream_func_names = ['stream_%s' % fname for fname in __TA_FUNCTION_NAMES__] -stream = __import__("stream", globals(), locals(), stream_func_names, level=1) -for func_name, stream_func_name in zip(__TA_FUNCTION_NAMES__, stream_func_names): - wrapped_func = _wrapper(getattr(stream, func_name)) - setattr(stream, func_name, wrapped_func) - globals()[stream_func_name] = wrapped_func +from . import stream __version__ = '0.7.1' @@ -400,4 +390,4 @@ def get_function_groups(): """ return __function_groups__.copy() -__all__ = ['get_functions', 'get_function_groups'] + __TA_FUNCTION_NAMES__ + ["stream_%s" % name for name in __TA_FUNCTION_NAMES__] +__all__ = ['get_functions', 'get_function_groups', 'InsufficientHistory', 'stream'] + __TA_FUNCTION_NAMES__ diff --git a/talib/_common.pxi b/talib/_common.pxi index 057d98013..4f0d4adbb 100644 --- a/talib/_common.pxi +++ b/talib/_common.pxi @@ -5,6 +5,13 @@ from _ta_lib cimport TA_RetCode, TA_FuncUnstId __ta_version__ = lib.TA_GetVersionString() + +class InsufficientHistory(Exception): + """Not enough history to open a stream (TA_INSUFFICIENT_HISTORY). + + Recoverable: collect more bars and try again.""" + + cpdef _ta_check_success(str function_name, TA_RetCode ret_code): if ret_code == 0: return True @@ -48,7 +55,8 @@ cpdef _ta_check_success(str function_name, TA_RetCode ret_code): description = 'Unknown Error (TA_UNKNOWN_ERR)' else: description = 'Unknown Error' - raise Exception('%s function failed with error code %s: %s' % ( + error = InsufficientHistory if ret_code == 17 else Exception + raise error('%s function failed with error code %s: %s' % ( function_name, ret_code, description)) def _ta_initialize(): diff --git a/talib/_stream.pxi b/talib/_stream.pxi index 988f27f2e..d96815336 100644 --- a/talib/_stream.pxi +++ b/talib/_stream.pxi @@ -1,14 +1,2547 @@ +cimport cython cimport numpy as np -from cython import boundscheck, wraparound +import numpy +from collections import namedtuple + cimport _ta_lib as lib -from _ta_lib cimport TA_RetCode -# NOTE: _ta_check_success, NaN are defined in common.pxi +from _ta_lib cimport TA_RetCode, TA_MAType, TA_BAD_PARAM +# NOTE: _ta_check_success and InsufficientHistory come from _common.pxi, +# check_array / make_*_array from _func.pxi, and __PANDAS_SERIES / +# __POLARS_SERIES from _abstract.pxi. np.import_array() # Initialize the NumPy C API -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_AC( np.ndarray high not None , np.ndarray low not None , int fastperiod=-2**31 , int slowperiod=-2**31 , int signalperiod=-2**31 ): +cdef extern from "ta-lib/ta_func.h": + + ctypedef struct TA_AC_Stream: + pass + TA_RetCode TA_AC_OpenAndFill(TA_AC_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInFastPeriod, int optInSlowPeriod, int optInSignalPeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_AC_Open(TA_AC_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInFastPeriod, int optInSlowPeriod, int optInSignalPeriod, double* outReal) + TA_RetCode TA_AC_Update(TA_AC_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_AC_Peek(const TA_AC_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_AC_Value(const TA_AC_Stream* stream, double* outReal) + TA_RetCode TA_AC_Clone(const TA_AC_Stream* stream, TA_AC_Stream** clone) + TA_RetCode TA_AC_Close(TA_AC_Stream* stream) + TA_RetCode TA_AC_OutRange(const TA_AC_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_AC_Advance(TA_AC_Stream* stream) + + ctypedef struct TA_ACCBANDS_Stream: + pass + TA_RetCode TA_ACCBANDS_OpenAndFill(TA_ACCBANDS_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outRealUpperBand, double* outRealMiddleBand, double* outRealLowerBand) + TA_RetCode TA_ACCBANDS_Open(TA_ACCBANDS_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, double* outRealUpperBand, double* outRealMiddleBand, double* outRealLowerBand) + TA_RetCode TA_ACCBANDS_Update(TA_ACCBANDS_Stream* stream, double inHigh, double inLow, double inClose, double* outRealUpperBand, double* outRealMiddleBand, double* outRealLowerBand) + TA_RetCode TA_ACCBANDS_Peek(const TA_ACCBANDS_Stream* stream, double inHigh, double inLow, double inClose, double* outRealUpperBand, double* outRealMiddleBand, double* outRealLowerBand) + TA_RetCode TA_ACCBANDS_Value(const TA_ACCBANDS_Stream* stream, double* outRealUpperBand, double* outRealMiddleBand, double* outRealLowerBand) + TA_RetCode TA_ACCBANDS_Clone(const TA_ACCBANDS_Stream* stream, TA_ACCBANDS_Stream** clone) + TA_RetCode TA_ACCBANDS_Close(TA_ACCBANDS_Stream* stream) + TA_RetCode TA_ACCBANDS_OutRange(const TA_ACCBANDS_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_ACCBANDS_Advance(TA_ACCBANDS_Stream* stream) + + ctypedef struct TA_ACOS_Stream: + pass + TA_RetCode TA_ACOS_OpenAndFill(TA_ACOS_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_ACOS_Open(TA_ACOS_Stream** stream, const double* inReal, int historyLen, double* outReal) + TA_RetCode TA_ACOS_Update(TA_ACOS_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_ACOS_Peek(const TA_ACOS_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_ACOS_Value(const TA_ACOS_Stream* stream, double* outReal) + TA_RetCode TA_ACOS_Clone(const TA_ACOS_Stream* stream, TA_ACOS_Stream** clone) + TA_RetCode TA_ACOS_Close(TA_ACOS_Stream* stream) + TA_RetCode TA_ACOS_OutRange(const TA_ACOS_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_ACOS_Advance(TA_ACOS_Stream* stream) + + ctypedef struct TA_AD_Stream: + pass + TA_RetCode TA_AD_OpenAndFill(TA_AD_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, const double* inVolume, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_AD_Open(TA_AD_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, const double* inVolume, int historyLen, double* outReal) + TA_RetCode TA_AD_Update(TA_AD_Stream* stream, double inHigh, double inLow, double inClose, double inVolume, double* outReal) + TA_RetCode TA_AD_Peek(const TA_AD_Stream* stream, double inHigh, double inLow, double inClose, double inVolume, double* outReal) + TA_RetCode TA_AD_Value(const TA_AD_Stream* stream, double* outReal) + TA_RetCode TA_AD_Clone(const TA_AD_Stream* stream, TA_AD_Stream** clone) + TA_RetCode TA_AD_Close(TA_AD_Stream* stream) + TA_RetCode TA_AD_OutRange(const TA_AD_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_AD_Advance(TA_AD_Stream* stream) + + ctypedef struct TA_ADD_Stream: + pass + TA_RetCode TA_ADD_OpenAndFill(TA_ADD_Stream** stream, const double* inReal0, const double* inReal1, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_ADD_Open(TA_ADD_Stream** stream, const double* inReal0, const double* inReal1, int historyLen, double* outReal) + TA_RetCode TA_ADD_Update(TA_ADD_Stream* stream, double inReal0, double inReal1, double* outReal) + TA_RetCode TA_ADD_Peek(const TA_ADD_Stream* stream, double inReal0, double inReal1, double* outReal) + TA_RetCode TA_ADD_Value(const TA_ADD_Stream* stream, double* outReal) + TA_RetCode TA_ADD_Clone(const TA_ADD_Stream* stream, TA_ADD_Stream** clone) + TA_RetCode TA_ADD_Close(TA_ADD_Stream* stream) + TA_RetCode TA_ADD_OutRange(const TA_ADD_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_ADD_Advance(TA_ADD_Stream* stream) + + ctypedef struct TA_ADOSC_Stream: + pass + TA_RetCode TA_ADOSC_OpenAndFill(TA_ADOSC_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, const double* inVolume, int historyLen, int optInFastPeriod, int optInSlowPeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_ADOSC_Open(TA_ADOSC_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, const double* inVolume, int historyLen, int optInFastPeriod, int optInSlowPeriod, double* outReal) + TA_RetCode TA_ADOSC_Update(TA_ADOSC_Stream* stream, double inHigh, double inLow, double inClose, double inVolume, double* outReal) + TA_RetCode TA_ADOSC_Peek(const TA_ADOSC_Stream* stream, double inHigh, double inLow, double inClose, double inVolume, double* outReal) + TA_RetCode TA_ADOSC_Value(const TA_ADOSC_Stream* stream, double* outReal) + TA_RetCode TA_ADOSC_Clone(const TA_ADOSC_Stream* stream, TA_ADOSC_Stream** clone) + TA_RetCode TA_ADOSC_Close(TA_ADOSC_Stream* stream) + TA_RetCode TA_ADOSC_OutRange(const TA_ADOSC_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_ADOSC_Advance(TA_ADOSC_Stream* stream) + + ctypedef struct TA_ADR_Stream: + pass + TA_RetCode TA_ADR_OpenAndFill(TA_ADR_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_ADR_Open(TA_ADR_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_ADR_Update(TA_ADR_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_ADR_Peek(const TA_ADR_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_ADR_Value(const TA_ADR_Stream* stream, double* outReal) + TA_RetCode TA_ADR_Clone(const TA_ADR_Stream* stream, TA_ADR_Stream** clone) + TA_RetCode TA_ADR_Close(TA_ADR_Stream* stream) + TA_RetCode TA_ADR_OutRange(const TA_ADR_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_ADR_Advance(TA_ADR_Stream* stream) + + ctypedef struct TA_ADX_Stream: + pass + TA_RetCode TA_ADX_OpenAndFill(TA_ADX_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_ADX_Open(TA_ADX_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_ADX_Update(TA_ADX_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_ADX_Peek(const TA_ADX_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_ADX_Value(const TA_ADX_Stream* stream, double* outReal) + TA_RetCode TA_ADX_Clone(const TA_ADX_Stream* stream, TA_ADX_Stream** clone) + TA_RetCode TA_ADX_Close(TA_ADX_Stream* stream) + TA_RetCode TA_ADX_OutRange(const TA_ADX_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_ADX_Advance(TA_ADX_Stream* stream) + + ctypedef struct TA_ADXR_Stream: + pass + TA_RetCode TA_ADXR_OpenAndFill(TA_ADXR_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_ADXR_Open(TA_ADXR_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_ADXR_Update(TA_ADXR_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_ADXR_Peek(const TA_ADXR_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_ADXR_Value(const TA_ADXR_Stream* stream, double* outReal) + TA_RetCode TA_ADXR_Clone(const TA_ADXR_Stream* stream, TA_ADXR_Stream** clone) + TA_RetCode TA_ADXR_Close(TA_ADXR_Stream* stream) + TA_RetCode TA_ADXR_OutRange(const TA_ADXR_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_ADXR_Advance(TA_ADXR_Stream* stream) + + ctypedef struct TA_AO_Stream: + pass + TA_RetCode TA_AO_OpenAndFill(TA_AO_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInFastPeriod, int optInSlowPeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_AO_Open(TA_AO_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInFastPeriod, int optInSlowPeriod, double* outReal) + TA_RetCode TA_AO_Update(TA_AO_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_AO_Peek(const TA_AO_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_AO_Value(const TA_AO_Stream* stream, double* outReal) + TA_RetCode TA_AO_Clone(const TA_AO_Stream* stream, TA_AO_Stream** clone) + TA_RetCode TA_AO_Close(TA_AO_Stream* stream) + TA_RetCode TA_AO_OutRange(const TA_AO_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_AO_Advance(TA_AO_Stream* stream) + + ctypedef struct TA_APO_Stream: + pass + TA_RetCode TA_APO_OpenAndFill(TA_APO_Stream** stream, const double* inReal, int historyLen, int optInFastPeriod, int optInSlowPeriod, TA_MAType optInMAType, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_APO_Open(TA_APO_Stream** stream, const double* inReal, int historyLen, int optInFastPeriod, int optInSlowPeriod, TA_MAType optInMAType, double* outReal) + TA_RetCode TA_APO_Update(TA_APO_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_APO_Peek(const TA_APO_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_APO_Value(const TA_APO_Stream* stream, double* outReal) + TA_RetCode TA_APO_Clone(const TA_APO_Stream* stream, TA_APO_Stream** clone) + TA_RetCode TA_APO_Close(TA_APO_Stream* stream) + TA_RetCode TA_APO_OutRange(const TA_APO_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_APO_Advance(TA_APO_Stream* stream) + + ctypedef struct TA_AROON_Stream: + pass + TA_RetCode TA_AROON_OpenAndFill(TA_AROON_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outAroonDown, double* outAroonUp) + TA_RetCode TA_AROON_Open(TA_AROON_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInTimePeriod, double* outAroonDown, double* outAroonUp) + TA_RetCode TA_AROON_Update(TA_AROON_Stream* stream, double inHigh, double inLow, double* outAroonDown, double* outAroonUp) + TA_RetCode TA_AROON_Peek(const TA_AROON_Stream* stream, double inHigh, double inLow, double* outAroonDown, double* outAroonUp) + TA_RetCode TA_AROON_Value(const TA_AROON_Stream* stream, double* outAroonDown, double* outAroonUp) + TA_RetCode TA_AROON_Clone(const TA_AROON_Stream* stream, TA_AROON_Stream** clone) + TA_RetCode TA_AROON_Close(TA_AROON_Stream* stream) + TA_RetCode TA_AROON_OutRange(const TA_AROON_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_AROON_Advance(TA_AROON_Stream* stream) + + ctypedef struct TA_AROONOSC_Stream: + pass + TA_RetCode TA_AROONOSC_OpenAndFill(TA_AROONOSC_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_AROONOSC_Open(TA_AROONOSC_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_AROONOSC_Update(TA_AROONOSC_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_AROONOSC_Peek(const TA_AROONOSC_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_AROONOSC_Value(const TA_AROONOSC_Stream* stream, double* outReal) + TA_RetCode TA_AROONOSC_Clone(const TA_AROONOSC_Stream* stream, TA_AROONOSC_Stream** clone) + TA_RetCode TA_AROONOSC_Close(TA_AROONOSC_Stream* stream) + TA_RetCode TA_AROONOSC_OutRange(const TA_AROONOSC_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_AROONOSC_Advance(TA_AROONOSC_Stream* stream) + + ctypedef struct TA_ASIN_Stream: + pass + TA_RetCode TA_ASIN_OpenAndFill(TA_ASIN_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_ASIN_Open(TA_ASIN_Stream** stream, const double* inReal, int historyLen, double* outReal) + TA_RetCode TA_ASIN_Update(TA_ASIN_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_ASIN_Peek(const TA_ASIN_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_ASIN_Value(const TA_ASIN_Stream* stream, double* outReal) + TA_RetCode TA_ASIN_Clone(const TA_ASIN_Stream* stream, TA_ASIN_Stream** clone) + TA_RetCode TA_ASIN_Close(TA_ASIN_Stream* stream) + TA_RetCode TA_ASIN_OutRange(const TA_ASIN_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_ASIN_Advance(TA_ASIN_Stream* stream) + + ctypedef struct TA_ATAN_Stream: + pass + TA_RetCode TA_ATAN_OpenAndFill(TA_ATAN_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_ATAN_Open(TA_ATAN_Stream** stream, const double* inReal, int historyLen, double* outReal) + TA_RetCode TA_ATAN_Update(TA_ATAN_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_ATAN_Peek(const TA_ATAN_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_ATAN_Value(const TA_ATAN_Stream* stream, double* outReal) + TA_RetCode TA_ATAN_Clone(const TA_ATAN_Stream* stream, TA_ATAN_Stream** clone) + TA_RetCode TA_ATAN_Close(TA_ATAN_Stream* stream) + TA_RetCode TA_ATAN_OutRange(const TA_ATAN_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_ATAN_Advance(TA_ATAN_Stream* stream) + + ctypedef struct TA_ATR_Stream: + pass + TA_RetCode TA_ATR_OpenAndFill(TA_ATR_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_ATR_Open(TA_ATR_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_ATR_Update(TA_ATR_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_ATR_Peek(const TA_ATR_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_ATR_Value(const TA_ATR_Stream* stream, double* outReal) + TA_RetCode TA_ATR_Clone(const TA_ATR_Stream* stream, TA_ATR_Stream** clone) + TA_RetCode TA_ATR_Close(TA_ATR_Stream* stream) + TA_RetCode TA_ATR_OutRange(const TA_ATR_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_ATR_Advance(TA_ATR_Stream* stream) + + ctypedef struct TA_AVGDEV_Stream: + pass + TA_RetCode TA_AVGDEV_OpenAndFill(TA_AVGDEV_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_AVGDEV_Open(TA_AVGDEV_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_AVGDEV_Update(TA_AVGDEV_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_AVGDEV_Peek(const TA_AVGDEV_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_AVGDEV_Value(const TA_AVGDEV_Stream* stream, double* outReal) + TA_RetCode TA_AVGDEV_Clone(const TA_AVGDEV_Stream* stream, TA_AVGDEV_Stream** clone) + TA_RetCode TA_AVGDEV_Close(TA_AVGDEV_Stream* stream) + TA_RetCode TA_AVGDEV_OutRange(const TA_AVGDEV_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_AVGDEV_Advance(TA_AVGDEV_Stream* stream) + + ctypedef struct TA_AVGPRICE_Stream: + pass + TA_RetCode TA_AVGPRICE_OpenAndFill(TA_AVGPRICE_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_AVGPRICE_Open(TA_AVGPRICE_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, double* outReal) + TA_RetCode TA_AVGPRICE_Update(TA_AVGPRICE_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_AVGPRICE_Peek(const TA_AVGPRICE_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_AVGPRICE_Value(const TA_AVGPRICE_Stream* stream, double* outReal) + TA_RetCode TA_AVGPRICE_Clone(const TA_AVGPRICE_Stream* stream, TA_AVGPRICE_Stream** clone) + TA_RetCode TA_AVGPRICE_Close(TA_AVGPRICE_Stream* stream) + TA_RetCode TA_AVGPRICE_OutRange(const TA_AVGPRICE_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_AVGPRICE_Advance(TA_AVGPRICE_Stream* stream) + + ctypedef struct TA_BBANDS_Stream: + pass + TA_RetCode TA_BBANDS_OpenAndFill(TA_BBANDS_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double optInNbDevUp, double optInNbDevDn, TA_MAType optInMAType, int* outBegIdx, int* outNBElement, double* outRealUpperBand, double* outRealMiddleBand, double* outRealLowerBand) + TA_RetCode TA_BBANDS_Open(TA_BBANDS_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double optInNbDevUp, double optInNbDevDn, TA_MAType optInMAType, double* outRealUpperBand, double* outRealMiddleBand, double* outRealLowerBand) + TA_RetCode TA_BBANDS_Update(TA_BBANDS_Stream* stream, double inReal, double* outRealUpperBand, double* outRealMiddleBand, double* outRealLowerBand) + TA_RetCode TA_BBANDS_Peek(const TA_BBANDS_Stream* stream, double inReal, double* outRealUpperBand, double* outRealMiddleBand, double* outRealLowerBand) + TA_RetCode TA_BBANDS_Value(const TA_BBANDS_Stream* stream, double* outRealUpperBand, double* outRealMiddleBand, double* outRealLowerBand) + TA_RetCode TA_BBANDS_Clone(const TA_BBANDS_Stream* stream, TA_BBANDS_Stream** clone) + TA_RetCode TA_BBANDS_Close(TA_BBANDS_Stream* stream) + TA_RetCode TA_BBANDS_OutRange(const TA_BBANDS_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_BBANDS_Advance(TA_BBANDS_Stream* stream) + + ctypedef struct TA_BETA_Stream: + pass + TA_RetCode TA_BETA_OpenAndFill(TA_BETA_Stream** stream, const double* inReal0, const double* inReal1, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_BETA_Open(TA_BETA_Stream** stream, const double* inReal0, const double* inReal1, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_BETA_Update(TA_BETA_Stream* stream, double inReal0, double inReal1, double* outReal) + TA_RetCode TA_BETA_Peek(const TA_BETA_Stream* stream, double inReal0, double inReal1, double* outReal) + TA_RetCode TA_BETA_Value(const TA_BETA_Stream* stream, double* outReal) + TA_RetCode TA_BETA_Clone(const TA_BETA_Stream* stream, TA_BETA_Stream** clone) + TA_RetCode TA_BETA_Close(TA_BETA_Stream* stream) + TA_RetCode TA_BETA_OutRange(const TA_BETA_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_BETA_Advance(TA_BETA_Stream* stream) + + ctypedef struct TA_BOP_Stream: + pass + TA_RetCode TA_BOP_OpenAndFill(TA_BOP_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_BOP_Open(TA_BOP_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, double* outReal) + TA_RetCode TA_BOP_Update(TA_BOP_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_BOP_Peek(const TA_BOP_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_BOP_Value(const TA_BOP_Stream* stream, double* outReal) + TA_RetCode TA_BOP_Clone(const TA_BOP_Stream* stream, TA_BOP_Stream** clone) + TA_RetCode TA_BOP_Close(TA_BOP_Stream* stream) + TA_RetCode TA_BOP_OutRange(const TA_BOP_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_BOP_Advance(TA_BOP_Stream* stream) + + ctypedef struct TA_CCI_Stream: + pass + TA_RetCode TA_CCI_OpenAndFill(TA_CCI_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_CCI_Open(TA_CCI_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_CCI_Update(TA_CCI_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_CCI_Peek(const TA_CCI_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_CCI_Value(const TA_CCI_Stream* stream, double* outReal) + TA_RetCode TA_CCI_Clone(const TA_CCI_Stream* stream, TA_CCI_Stream** clone) + TA_RetCode TA_CCI_Close(TA_CCI_Stream* stream) + TA_RetCode TA_CCI_OutRange(const TA_CCI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CCI_Advance(TA_CCI_Stream* stream) + + ctypedef struct TA_CDL2CROWS_Stream: + pass + TA_RetCode TA_CDL2CROWS_OpenAndFill(TA_CDL2CROWS_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDL2CROWS_Open(TA_CDL2CROWS_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDL2CROWS_Update(TA_CDL2CROWS_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDL2CROWS_Peek(const TA_CDL2CROWS_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDL2CROWS_Value(const TA_CDL2CROWS_Stream* stream, int* outInteger) + TA_RetCode TA_CDL2CROWS_Clone(const TA_CDL2CROWS_Stream* stream, TA_CDL2CROWS_Stream** clone) + TA_RetCode TA_CDL2CROWS_Close(TA_CDL2CROWS_Stream* stream) + TA_RetCode TA_CDL2CROWS_OutRange(const TA_CDL2CROWS_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDL2CROWS_Advance(TA_CDL2CROWS_Stream* stream) + + ctypedef struct TA_CDL3BLACKCROWS_Stream: + pass + TA_RetCode TA_CDL3BLACKCROWS_OpenAndFill(TA_CDL3BLACKCROWS_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDL3BLACKCROWS_Open(TA_CDL3BLACKCROWS_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDL3BLACKCROWS_Update(TA_CDL3BLACKCROWS_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDL3BLACKCROWS_Peek(const TA_CDL3BLACKCROWS_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDL3BLACKCROWS_Value(const TA_CDL3BLACKCROWS_Stream* stream, int* outInteger) + TA_RetCode TA_CDL3BLACKCROWS_Clone(const TA_CDL3BLACKCROWS_Stream* stream, TA_CDL3BLACKCROWS_Stream** clone) + TA_RetCode TA_CDL3BLACKCROWS_Close(TA_CDL3BLACKCROWS_Stream* stream) + TA_RetCode TA_CDL3BLACKCROWS_OutRange(const TA_CDL3BLACKCROWS_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDL3BLACKCROWS_Advance(TA_CDL3BLACKCROWS_Stream* stream) + + ctypedef struct TA_CDL3INSIDE_Stream: + pass + TA_RetCode TA_CDL3INSIDE_OpenAndFill(TA_CDL3INSIDE_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDL3INSIDE_Open(TA_CDL3INSIDE_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDL3INSIDE_Update(TA_CDL3INSIDE_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDL3INSIDE_Peek(const TA_CDL3INSIDE_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDL3INSIDE_Value(const TA_CDL3INSIDE_Stream* stream, int* outInteger) + TA_RetCode TA_CDL3INSIDE_Clone(const TA_CDL3INSIDE_Stream* stream, TA_CDL3INSIDE_Stream** clone) + TA_RetCode TA_CDL3INSIDE_Close(TA_CDL3INSIDE_Stream* stream) + TA_RetCode TA_CDL3INSIDE_OutRange(const TA_CDL3INSIDE_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDL3INSIDE_Advance(TA_CDL3INSIDE_Stream* stream) + + ctypedef struct TA_CDL3LINESTRIKE_Stream: + pass + TA_RetCode TA_CDL3LINESTRIKE_OpenAndFill(TA_CDL3LINESTRIKE_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDL3LINESTRIKE_Open(TA_CDL3LINESTRIKE_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDL3LINESTRIKE_Update(TA_CDL3LINESTRIKE_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDL3LINESTRIKE_Peek(const TA_CDL3LINESTRIKE_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDL3LINESTRIKE_Value(const TA_CDL3LINESTRIKE_Stream* stream, int* outInteger) + TA_RetCode TA_CDL3LINESTRIKE_Clone(const TA_CDL3LINESTRIKE_Stream* stream, TA_CDL3LINESTRIKE_Stream** clone) + TA_RetCode TA_CDL3LINESTRIKE_Close(TA_CDL3LINESTRIKE_Stream* stream) + TA_RetCode TA_CDL3LINESTRIKE_OutRange(const TA_CDL3LINESTRIKE_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDL3LINESTRIKE_Advance(TA_CDL3LINESTRIKE_Stream* stream) + + ctypedef struct TA_CDL3OUTSIDE_Stream: + pass + TA_RetCode TA_CDL3OUTSIDE_OpenAndFill(TA_CDL3OUTSIDE_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDL3OUTSIDE_Open(TA_CDL3OUTSIDE_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDL3OUTSIDE_Update(TA_CDL3OUTSIDE_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDL3OUTSIDE_Peek(const TA_CDL3OUTSIDE_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDL3OUTSIDE_Value(const TA_CDL3OUTSIDE_Stream* stream, int* outInteger) + TA_RetCode TA_CDL3OUTSIDE_Clone(const TA_CDL3OUTSIDE_Stream* stream, TA_CDL3OUTSIDE_Stream** clone) + TA_RetCode TA_CDL3OUTSIDE_Close(TA_CDL3OUTSIDE_Stream* stream) + TA_RetCode TA_CDL3OUTSIDE_OutRange(const TA_CDL3OUTSIDE_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDL3OUTSIDE_Advance(TA_CDL3OUTSIDE_Stream* stream) + + ctypedef struct TA_CDL3STARSINSOUTH_Stream: + pass + TA_RetCode TA_CDL3STARSINSOUTH_OpenAndFill(TA_CDL3STARSINSOUTH_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDL3STARSINSOUTH_Open(TA_CDL3STARSINSOUTH_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDL3STARSINSOUTH_Update(TA_CDL3STARSINSOUTH_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDL3STARSINSOUTH_Peek(const TA_CDL3STARSINSOUTH_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDL3STARSINSOUTH_Value(const TA_CDL3STARSINSOUTH_Stream* stream, int* outInteger) + TA_RetCode TA_CDL3STARSINSOUTH_Clone(const TA_CDL3STARSINSOUTH_Stream* stream, TA_CDL3STARSINSOUTH_Stream** clone) + TA_RetCode TA_CDL3STARSINSOUTH_Close(TA_CDL3STARSINSOUTH_Stream* stream) + TA_RetCode TA_CDL3STARSINSOUTH_OutRange(const TA_CDL3STARSINSOUTH_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDL3STARSINSOUTH_Advance(TA_CDL3STARSINSOUTH_Stream* stream) + + ctypedef struct TA_CDL3WHITESOLDIERS_Stream: + pass + TA_RetCode TA_CDL3WHITESOLDIERS_OpenAndFill(TA_CDL3WHITESOLDIERS_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDL3WHITESOLDIERS_Open(TA_CDL3WHITESOLDIERS_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDL3WHITESOLDIERS_Update(TA_CDL3WHITESOLDIERS_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDL3WHITESOLDIERS_Peek(const TA_CDL3WHITESOLDIERS_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDL3WHITESOLDIERS_Value(const TA_CDL3WHITESOLDIERS_Stream* stream, int* outInteger) + TA_RetCode TA_CDL3WHITESOLDIERS_Clone(const TA_CDL3WHITESOLDIERS_Stream* stream, TA_CDL3WHITESOLDIERS_Stream** clone) + TA_RetCode TA_CDL3WHITESOLDIERS_Close(TA_CDL3WHITESOLDIERS_Stream* stream) + TA_RetCode TA_CDL3WHITESOLDIERS_OutRange(const TA_CDL3WHITESOLDIERS_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDL3WHITESOLDIERS_Advance(TA_CDL3WHITESOLDIERS_Stream* stream) + + ctypedef struct TA_CDLABANDONEDBABY_Stream: + pass + TA_RetCode TA_CDLABANDONEDBABY_OpenAndFill(TA_CDLABANDONEDBABY_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, double optInPenetration, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLABANDONEDBABY_Open(TA_CDLABANDONEDBABY_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, double optInPenetration, int* outInteger) + TA_RetCode TA_CDLABANDONEDBABY_Update(TA_CDLABANDONEDBABY_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLABANDONEDBABY_Peek(const TA_CDLABANDONEDBABY_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLABANDONEDBABY_Value(const TA_CDLABANDONEDBABY_Stream* stream, int* outInteger) + TA_RetCode TA_CDLABANDONEDBABY_Clone(const TA_CDLABANDONEDBABY_Stream* stream, TA_CDLABANDONEDBABY_Stream** clone) + TA_RetCode TA_CDLABANDONEDBABY_Close(TA_CDLABANDONEDBABY_Stream* stream) + TA_RetCode TA_CDLABANDONEDBABY_OutRange(const TA_CDLABANDONEDBABY_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLABANDONEDBABY_Advance(TA_CDLABANDONEDBABY_Stream* stream) + + ctypedef struct TA_CDLADVANCEBLOCK_Stream: + pass + TA_RetCode TA_CDLADVANCEBLOCK_OpenAndFill(TA_CDLADVANCEBLOCK_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLADVANCEBLOCK_Open(TA_CDLADVANCEBLOCK_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLADVANCEBLOCK_Update(TA_CDLADVANCEBLOCK_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLADVANCEBLOCK_Peek(const TA_CDLADVANCEBLOCK_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLADVANCEBLOCK_Value(const TA_CDLADVANCEBLOCK_Stream* stream, int* outInteger) + TA_RetCode TA_CDLADVANCEBLOCK_Clone(const TA_CDLADVANCEBLOCK_Stream* stream, TA_CDLADVANCEBLOCK_Stream** clone) + TA_RetCode TA_CDLADVANCEBLOCK_Close(TA_CDLADVANCEBLOCK_Stream* stream) + TA_RetCode TA_CDLADVANCEBLOCK_OutRange(const TA_CDLADVANCEBLOCK_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLADVANCEBLOCK_Advance(TA_CDLADVANCEBLOCK_Stream* stream) + + ctypedef struct TA_CDLBELTHOLD_Stream: + pass + TA_RetCode TA_CDLBELTHOLD_OpenAndFill(TA_CDLBELTHOLD_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLBELTHOLD_Open(TA_CDLBELTHOLD_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLBELTHOLD_Update(TA_CDLBELTHOLD_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLBELTHOLD_Peek(const TA_CDLBELTHOLD_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLBELTHOLD_Value(const TA_CDLBELTHOLD_Stream* stream, int* outInteger) + TA_RetCode TA_CDLBELTHOLD_Clone(const TA_CDLBELTHOLD_Stream* stream, TA_CDLBELTHOLD_Stream** clone) + TA_RetCode TA_CDLBELTHOLD_Close(TA_CDLBELTHOLD_Stream* stream) + TA_RetCode TA_CDLBELTHOLD_OutRange(const TA_CDLBELTHOLD_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLBELTHOLD_Advance(TA_CDLBELTHOLD_Stream* stream) + + ctypedef struct TA_CDLBREAKAWAY_Stream: + pass + TA_RetCode TA_CDLBREAKAWAY_OpenAndFill(TA_CDLBREAKAWAY_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLBREAKAWAY_Open(TA_CDLBREAKAWAY_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLBREAKAWAY_Update(TA_CDLBREAKAWAY_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLBREAKAWAY_Peek(const TA_CDLBREAKAWAY_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLBREAKAWAY_Value(const TA_CDLBREAKAWAY_Stream* stream, int* outInteger) + TA_RetCode TA_CDLBREAKAWAY_Clone(const TA_CDLBREAKAWAY_Stream* stream, TA_CDLBREAKAWAY_Stream** clone) + TA_RetCode TA_CDLBREAKAWAY_Close(TA_CDLBREAKAWAY_Stream* stream) + TA_RetCode TA_CDLBREAKAWAY_OutRange(const TA_CDLBREAKAWAY_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLBREAKAWAY_Advance(TA_CDLBREAKAWAY_Stream* stream) + + ctypedef struct TA_CDLCLOSINGMARUBOZU_Stream: + pass + TA_RetCode TA_CDLCLOSINGMARUBOZU_OpenAndFill(TA_CDLCLOSINGMARUBOZU_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLCLOSINGMARUBOZU_Open(TA_CDLCLOSINGMARUBOZU_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLCLOSINGMARUBOZU_Update(TA_CDLCLOSINGMARUBOZU_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLCLOSINGMARUBOZU_Peek(const TA_CDLCLOSINGMARUBOZU_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLCLOSINGMARUBOZU_Value(const TA_CDLCLOSINGMARUBOZU_Stream* stream, int* outInteger) + TA_RetCode TA_CDLCLOSINGMARUBOZU_Clone(const TA_CDLCLOSINGMARUBOZU_Stream* stream, TA_CDLCLOSINGMARUBOZU_Stream** clone) + TA_RetCode TA_CDLCLOSINGMARUBOZU_Close(TA_CDLCLOSINGMARUBOZU_Stream* stream) + TA_RetCode TA_CDLCLOSINGMARUBOZU_OutRange(const TA_CDLCLOSINGMARUBOZU_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLCLOSINGMARUBOZU_Advance(TA_CDLCLOSINGMARUBOZU_Stream* stream) + + ctypedef struct TA_CDLCONCEALBABYSWALL_Stream: + pass + TA_RetCode TA_CDLCONCEALBABYSWALL_OpenAndFill(TA_CDLCONCEALBABYSWALL_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLCONCEALBABYSWALL_Open(TA_CDLCONCEALBABYSWALL_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLCONCEALBABYSWALL_Update(TA_CDLCONCEALBABYSWALL_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLCONCEALBABYSWALL_Peek(const TA_CDLCONCEALBABYSWALL_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLCONCEALBABYSWALL_Value(const TA_CDLCONCEALBABYSWALL_Stream* stream, int* outInteger) + TA_RetCode TA_CDLCONCEALBABYSWALL_Clone(const TA_CDLCONCEALBABYSWALL_Stream* stream, TA_CDLCONCEALBABYSWALL_Stream** clone) + TA_RetCode TA_CDLCONCEALBABYSWALL_Close(TA_CDLCONCEALBABYSWALL_Stream* stream) + TA_RetCode TA_CDLCONCEALBABYSWALL_OutRange(const TA_CDLCONCEALBABYSWALL_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLCONCEALBABYSWALL_Advance(TA_CDLCONCEALBABYSWALL_Stream* stream) + + ctypedef struct TA_CDLCOUNTERATTACK_Stream: + pass + TA_RetCode TA_CDLCOUNTERATTACK_OpenAndFill(TA_CDLCOUNTERATTACK_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLCOUNTERATTACK_Open(TA_CDLCOUNTERATTACK_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLCOUNTERATTACK_Update(TA_CDLCOUNTERATTACK_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLCOUNTERATTACK_Peek(const TA_CDLCOUNTERATTACK_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLCOUNTERATTACK_Value(const TA_CDLCOUNTERATTACK_Stream* stream, int* outInteger) + TA_RetCode TA_CDLCOUNTERATTACK_Clone(const TA_CDLCOUNTERATTACK_Stream* stream, TA_CDLCOUNTERATTACK_Stream** clone) + TA_RetCode TA_CDLCOUNTERATTACK_Close(TA_CDLCOUNTERATTACK_Stream* stream) + TA_RetCode TA_CDLCOUNTERATTACK_OutRange(const TA_CDLCOUNTERATTACK_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLCOUNTERATTACK_Advance(TA_CDLCOUNTERATTACK_Stream* stream) + + ctypedef struct TA_CDLDARKCLOUDCOVER_Stream: + pass + TA_RetCode TA_CDLDARKCLOUDCOVER_OpenAndFill(TA_CDLDARKCLOUDCOVER_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, double optInPenetration, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLDARKCLOUDCOVER_Open(TA_CDLDARKCLOUDCOVER_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, double optInPenetration, int* outInteger) + TA_RetCode TA_CDLDARKCLOUDCOVER_Update(TA_CDLDARKCLOUDCOVER_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLDARKCLOUDCOVER_Peek(const TA_CDLDARKCLOUDCOVER_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLDARKCLOUDCOVER_Value(const TA_CDLDARKCLOUDCOVER_Stream* stream, int* outInteger) + TA_RetCode TA_CDLDARKCLOUDCOVER_Clone(const TA_CDLDARKCLOUDCOVER_Stream* stream, TA_CDLDARKCLOUDCOVER_Stream** clone) + TA_RetCode TA_CDLDARKCLOUDCOVER_Close(TA_CDLDARKCLOUDCOVER_Stream* stream) + TA_RetCode TA_CDLDARKCLOUDCOVER_OutRange(const TA_CDLDARKCLOUDCOVER_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLDARKCLOUDCOVER_Advance(TA_CDLDARKCLOUDCOVER_Stream* stream) + + ctypedef struct TA_CDLDOJI_Stream: + pass + TA_RetCode TA_CDLDOJI_OpenAndFill(TA_CDLDOJI_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLDOJI_Open(TA_CDLDOJI_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLDOJI_Update(TA_CDLDOJI_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLDOJI_Peek(const TA_CDLDOJI_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLDOJI_Value(const TA_CDLDOJI_Stream* stream, int* outInteger) + TA_RetCode TA_CDLDOJI_Clone(const TA_CDLDOJI_Stream* stream, TA_CDLDOJI_Stream** clone) + TA_RetCode TA_CDLDOJI_Close(TA_CDLDOJI_Stream* stream) + TA_RetCode TA_CDLDOJI_OutRange(const TA_CDLDOJI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLDOJI_Advance(TA_CDLDOJI_Stream* stream) + + ctypedef struct TA_CDLDOJISTAR_Stream: + pass + TA_RetCode TA_CDLDOJISTAR_OpenAndFill(TA_CDLDOJISTAR_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLDOJISTAR_Open(TA_CDLDOJISTAR_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLDOJISTAR_Update(TA_CDLDOJISTAR_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLDOJISTAR_Peek(const TA_CDLDOJISTAR_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLDOJISTAR_Value(const TA_CDLDOJISTAR_Stream* stream, int* outInteger) + TA_RetCode TA_CDLDOJISTAR_Clone(const TA_CDLDOJISTAR_Stream* stream, TA_CDLDOJISTAR_Stream** clone) + TA_RetCode TA_CDLDOJISTAR_Close(TA_CDLDOJISTAR_Stream* stream) + TA_RetCode TA_CDLDOJISTAR_OutRange(const TA_CDLDOJISTAR_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLDOJISTAR_Advance(TA_CDLDOJISTAR_Stream* stream) + + ctypedef struct TA_CDLDRAGONFLYDOJI_Stream: + pass + TA_RetCode TA_CDLDRAGONFLYDOJI_OpenAndFill(TA_CDLDRAGONFLYDOJI_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLDRAGONFLYDOJI_Open(TA_CDLDRAGONFLYDOJI_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLDRAGONFLYDOJI_Update(TA_CDLDRAGONFLYDOJI_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLDRAGONFLYDOJI_Peek(const TA_CDLDRAGONFLYDOJI_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLDRAGONFLYDOJI_Value(const TA_CDLDRAGONFLYDOJI_Stream* stream, int* outInteger) + TA_RetCode TA_CDLDRAGONFLYDOJI_Clone(const TA_CDLDRAGONFLYDOJI_Stream* stream, TA_CDLDRAGONFLYDOJI_Stream** clone) + TA_RetCode TA_CDLDRAGONFLYDOJI_Close(TA_CDLDRAGONFLYDOJI_Stream* stream) + TA_RetCode TA_CDLDRAGONFLYDOJI_OutRange(const TA_CDLDRAGONFLYDOJI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLDRAGONFLYDOJI_Advance(TA_CDLDRAGONFLYDOJI_Stream* stream) + + ctypedef struct TA_CDLENGULFING_Stream: + pass + TA_RetCode TA_CDLENGULFING_OpenAndFill(TA_CDLENGULFING_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLENGULFING_Open(TA_CDLENGULFING_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLENGULFING_Update(TA_CDLENGULFING_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLENGULFING_Peek(const TA_CDLENGULFING_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLENGULFING_Value(const TA_CDLENGULFING_Stream* stream, int* outInteger) + TA_RetCode TA_CDLENGULFING_Clone(const TA_CDLENGULFING_Stream* stream, TA_CDLENGULFING_Stream** clone) + TA_RetCode TA_CDLENGULFING_Close(TA_CDLENGULFING_Stream* stream) + TA_RetCode TA_CDLENGULFING_OutRange(const TA_CDLENGULFING_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLENGULFING_Advance(TA_CDLENGULFING_Stream* stream) + + ctypedef struct TA_CDLEVENINGDOJISTAR_Stream: + pass + TA_RetCode TA_CDLEVENINGDOJISTAR_OpenAndFill(TA_CDLEVENINGDOJISTAR_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, double optInPenetration, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLEVENINGDOJISTAR_Open(TA_CDLEVENINGDOJISTAR_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, double optInPenetration, int* outInteger) + TA_RetCode TA_CDLEVENINGDOJISTAR_Update(TA_CDLEVENINGDOJISTAR_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLEVENINGDOJISTAR_Peek(const TA_CDLEVENINGDOJISTAR_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLEVENINGDOJISTAR_Value(const TA_CDLEVENINGDOJISTAR_Stream* stream, int* outInteger) + TA_RetCode TA_CDLEVENINGDOJISTAR_Clone(const TA_CDLEVENINGDOJISTAR_Stream* stream, TA_CDLEVENINGDOJISTAR_Stream** clone) + TA_RetCode TA_CDLEVENINGDOJISTAR_Close(TA_CDLEVENINGDOJISTAR_Stream* stream) + TA_RetCode TA_CDLEVENINGDOJISTAR_OutRange(const TA_CDLEVENINGDOJISTAR_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLEVENINGDOJISTAR_Advance(TA_CDLEVENINGDOJISTAR_Stream* stream) + + ctypedef struct TA_CDLEVENINGSTAR_Stream: + pass + TA_RetCode TA_CDLEVENINGSTAR_OpenAndFill(TA_CDLEVENINGSTAR_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, double optInPenetration, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLEVENINGSTAR_Open(TA_CDLEVENINGSTAR_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, double optInPenetration, int* outInteger) + TA_RetCode TA_CDLEVENINGSTAR_Update(TA_CDLEVENINGSTAR_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLEVENINGSTAR_Peek(const TA_CDLEVENINGSTAR_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLEVENINGSTAR_Value(const TA_CDLEVENINGSTAR_Stream* stream, int* outInteger) + TA_RetCode TA_CDLEVENINGSTAR_Clone(const TA_CDLEVENINGSTAR_Stream* stream, TA_CDLEVENINGSTAR_Stream** clone) + TA_RetCode TA_CDLEVENINGSTAR_Close(TA_CDLEVENINGSTAR_Stream* stream) + TA_RetCode TA_CDLEVENINGSTAR_OutRange(const TA_CDLEVENINGSTAR_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLEVENINGSTAR_Advance(TA_CDLEVENINGSTAR_Stream* stream) + + ctypedef struct TA_CDLGAPSIDESIDEWHITE_Stream: + pass + TA_RetCode TA_CDLGAPSIDESIDEWHITE_OpenAndFill(TA_CDLGAPSIDESIDEWHITE_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLGAPSIDESIDEWHITE_Open(TA_CDLGAPSIDESIDEWHITE_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLGAPSIDESIDEWHITE_Update(TA_CDLGAPSIDESIDEWHITE_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLGAPSIDESIDEWHITE_Peek(const TA_CDLGAPSIDESIDEWHITE_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLGAPSIDESIDEWHITE_Value(const TA_CDLGAPSIDESIDEWHITE_Stream* stream, int* outInteger) + TA_RetCode TA_CDLGAPSIDESIDEWHITE_Clone(const TA_CDLGAPSIDESIDEWHITE_Stream* stream, TA_CDLGAPSIDESIDEWHITE_Stream** clone) + TA_RetCode TA_CDLGAPSIDESIDEWHITE_Close(TA_CDLGAPSIDESIDEWHITE_Stream* stream) + TA_RetCode TA_CDLGAPSIDESIDEWHITE_OutRange(const TA_CDLGAPSIDESIDEWHITE_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLGAPSIDESIDEWHITE_Advance(TA_CDLGAPSIDESIDEWHITE_Stream* stream) + + ctypedef struct TA_CDLGRAVESTONEDOJI_Stream: + pass + TA_RetCode TA_CDLGRAVESTONEDOJI_OpenAndFill(TA_CDLGRAVESTONEDOJI_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLGRAVESTONEDOJI_Open(TA_CDLGRAVESTONEDOJI_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLGRAVESTONEDOJI_Update(TA_CDLGRAVESTONEDOJI_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLGRAVESTONEDOJI_Peek(const TA_CDLGRAVESTONEDOJI_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLGRAVESTONEDOJI_Value(const TA_CDLGRAVESTONEDOJI_Stream* stream, int* outInteger) + TA_RetCode TA_CDLGRAVESTONEDOJI_Clone(const TA_CDLGRAVESTONEDOJI_Stream* stream, TA_CDLGRAVESTONEDOJI_Stream** clone) + TA_RetCode TA_CDLGRAVESTONEDOJI_Close(TA_CDLGRAVESTONEDOJI_Stream* stream) + TA_RetCode TA_CDLGRAVESTONEDOJI_OutRange(const TA_CDLGRAVESTONEDOJI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLGRAVESTONEDOJI_Advance(TA_CDLGRAVESTONEDOJI_Stream* stream) + + ctypedef struct TA_CDLHAMMER_Stream: + pass + TA_RetCode TA_CDLHAMMER_OpenAndFill(TA_CDLHAMMER_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLHAMMER_Open(TA_CDLHAMMER_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLHAMMER_Update(TA_CDLHAMMER_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLHAMMER_Peek(const TA_CDLHAMMER_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLHAMMER_Value(const TA_CDLHAMMER_Stream* stream, int* outInteger) + TA_RetCode TA_CDLHAMMER_Clone(const TA_CDLHAMMER_Stream* stream, TA_CDLHAMMER_Stream** clone) + TA_RetCode TA_CDLHAMMER_Close(TA_CDLHAMMER_Stream* stream) + TA_RetCode TA_CDLHAMMER_OutRange(const TA_CDLHAMMER_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLHAMMER_Advance(TA_CDLHAMMER_Stream* stream) + + ctypedef struct TA_CDLHANGINGMAN_Stream: + pass + TA_RetCode TA_CDLHANGINGMAN_OpenAndFill(TA_CDLHANGINGMAN_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLHANGINGMAN_Open(TA_CDLHANGINGMAN_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLHANGINGMAN_Update(TA_CDLHANGINGMAN_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLHANGINGMAN_Peek(const TA_CDLHANGINGMAN_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLHANGINGMAN_Value(const TA_CDLHANGINGMAN_Stream* stream, int* outInteger) + TA_RetCode TA_CDLHANGINGMAN_Clone(const TA_CDLHANGINGMAN_Stream* stream, TA_CDLHANGINGMAN_Stream** clone) + TA_RetCode TA_CDLHANGINGMAN_Close(TA_CDLHANGINGMAN_Stream* stream) + TA_RetCode TA_CDLHANGINGMAN_OutRange(const TA_CDLHANGINGMAN_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLHANGINGMAN_Advance(TA_CDLHANGINGMAN_Stream* stream) + + ctypedef struct TA_CDLHARAMI_Stream: + pass + TA_RetCode TA_CDLHARAMI_OpenAndFill(TA_CDLHARAMI_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLHARAMI_Open(TA_CDLHARAMI_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLHARAMI_Update(TA_CDLHARAMI_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLHARAMI_Peek(const TA_CDLHARAMI_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLHARAMI_Value(const TA_CDLHARAMI_Stream* stream, int* outInteger) + TA_RetCode TA_CDLHARAMI_Clone(const TA_CDLHARAMI_Stream* stream, TA_CDLHARAMI_Stream** clone) + TA_RetCode TA_CDLHARAMI_Close(TA_CDLHARAMI_Stream* stream) + TA_RetCode TA_CDLHARAMI_OutRange(const TA_CDLHARAMI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLHARAMI_Advance(TA_CDLHARAMI_Stream* stream) + + ctypedef struct TA_CDLHARAMICROSS_Stream: + pass + TA_RetCode TA_CDLHARAMICROSS_OpenAndFill(TA_CDLHARAMICROSS_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLHARAMICROSS_Open(TA_CDLHARAMICROSS_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLHARAMICROSS_Update(TA_CDLHARAMICROSS_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLHARAMICROSS_Peek(const TA_CDLHARAMICROSS_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLHARAMICROSS_Value(const TA_CDLHARAMICROSS_Stream* stream, int* outInteger) + TA_RetCode TA_CDLHARAMICROSS_Clone(const TA_CDLHARAMICROSS_Stream* stream, TA_CDLHARAMICROSS_Stream** clone) + TA_RetCode TA_CDLHARAMICROSS_Close(TA_CDLHARAMICROSS_Stream* stream) + TA_RetCode TA_CDLHARAMICROSS_OutRange(const TA_CDLHARAMICROSS_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLHARAMICROSS_Advance(TA_CDLHARAMICROSS_Stream* stream) + + ctypedef struct TA_CDLHIGHWAVE_Stream: + pass + TA_RetCode TA_CDLHIGHWAVE_OpenAndFill(TA_CDLHIGHWAVE_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLHIGHWAVE_Open(TA_CDLHIGHWAVE_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLHIGHWAVE_Update(TA_CDLHIGHWAVE_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLHIGHWAVE_Peek(const TA_CDLHIGHWAVE_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLHIGHWAVE_Value(const TA_CDLHIGHWAVE_Stream* stream, int* outInteger) + TA_RetCode TA_CDLHIGHWAVE_Clone(const TA_CDLHIGHWAVE_Stream* stream, TA_CDLHIGHWAVE_Stream** clone) + TA_RetCode TA_CDLHIGHWAVE_Close(TA_CDLHIGHWAVE_Stream* stream) + TA_RetCode TA_CDLHIGHWAVE_OutRange(const TA_CDLHIGHWAVE_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLHIGHWAVE_Advance(TA_CDLHIGHWAVE_Stream* stream) + + ctypedef struct TA_CDLHIKKAKE_Stream: + pass + TA_RetCode TA_CDLHIKKAKE_OpenAndFill(TA_CDLHIKKAKE_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLHIKKAKE_Open(TA_CDLHIKKAKE_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLHIKKAKE_Update(TA_CDLHIKKAKE_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLHIKKAKE_Peek(const TA_CDLHIKKAKE_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLHIKKAKE_Value(const TA_CDLHIKKAKE_Stream* stream, int* outInteger) + TA_RetCode TA_CDLHIKKAKE_Clone(const TA_CDLHIKKAKE_Stream* stream, TA_CDLHIKKAKE_Stream** clone) + TA_RetCode TA_CDLHIKKAKE_Close(TA_CDLHIKKAKE_Stream* stream) + TA_RetCode TA_CDLHIKKAKE_OutRange(const TA_CDLHIKKAKE_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLHIKKAKE_Advance(TA_CDLHIKKAKE_Stream* stream) + + ctypedef struct TA_CDLHIKKAKEMOD_Stream: + pass + TA_RetCode TA_CDLHIKKAKEMOD_OpenAndFill(TA_CDLHIKKAKEMOD_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLHIKKAKEMOD_Open(TA_CDLHIKKAKEMOD_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLHIKKAKEMOD_Update(TA_CDLHIKKAKEMOD_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLHIKKAKEMOD_Peek(const TA_CDLHIKKAKEMOD_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLHIKKAKEMOD_Value(const TA_CDLHIKKAKEMOD_Stream* stream, int* outInteger) + TA_RetCode TA_CDLHIKKAKEMOD_Clone(const TA_CDLHIKKAKEMOD_Stream* stream, TA_CDLHIKKAKEMOD_Stream** clone) + TA_RetCode TA_CDLHIKKAKEMOD_Close(TA_CDLHIKKAKEMOD_Stream* stream) + TA_RetCode TA_CDLHIKKAKEMOD_OutRange(const TA_CDLHIKKAKEMOD_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLHIKKAKEMOD_Advance(TA_CDLHIKKAKEMOD_Stream* stream) + + ctypedef struct TA_CDLHOMINGPIGEON_Stream: + pass + TA_RetCode TA_CDLHOMINGPIGEON_OpenAndFill(TA_CDLHOMINGPIGEON_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLHOMINGPIGEON_Open(TA_CDLHOMINGPIGEON_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLHOMINGPIGEON_Update(TA_CDLHOMINGPIGEON_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLHOMINGPIGEON_Peek(const TA_CDLHOMINGPIGEON_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLHOMINGPIGEON_Value(const TA_CDLHOMINGPIGEON_Stream* stream, int* outInteger) + TA_RetCode TA_CDLHOMINGPIGEON_Clone(const TA_CDLHOMINGPIGEON_Stream* stream, TA_CDLHOMINGPIGEON_Stream** clone) + TA_RetCode TA_CDLHOMINGPIGEON_Close(TA_CDLHOMINGPIGEON_Stream* stream) + TA_RetCode TA_CDLHOMINGPIGEON_OutRange(const TA_CDLHOMINGPIGEON_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLHOMINGPIGEON_Advance(TA_CDLHOMINGPIGEON_Stream* stream) + + ctypedef struct TA_CDLIDENTICAL3CROWS_Stream: + pass + TA_RetCode TA_CDLIDENTICAL3CROWS_OpenAndFill(TA_CDLIDENTICAL3CROWS_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLIDENTICAL3CROWS_Open(TA_CDLIDENTICAL3CROWS_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLIDENTICAL3CROWS_Update(TA_CDLIDENTICAL3CROWS_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLIDENTICAL3CROWS_Peek(const TA_CDLIDENTICAL3CROWS_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLIDENTICAL3CROWS_Value(const TA_CDLIDENTICAL3CROWS_Stream* stream, int* outInteger) + TA_RetCode TA_CDLIDENTICAL3CROWS_Clone(const TA_CDLIDENTICAL3CROWS_Stream* stream, TA_CDLIDENTICAL3CROWS_Stream** clone) + TA_RetCode TA_CDLIDENTICAL3CROWS_Close(TA_CDLIDENTICAL3CROWS_Stream* stream) + TA_RetCode TA_CDLIDENTICAL3CROWS_OutRange(const TA_CDLIDENTICAL3CROWS_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLIDENTICAL3CROWS_Advance(TA_CDLIDENTICAL3CROWS_Stream* stream) + + ctypedef struct TA_CDLINNECK_Stream: + pass + TA_RetCode TA_CDLINNECK_OpenAndFill(TA_CDLINNECK_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLINNECK_Open(TA_CDLINNECK_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLINNECK_Update(TA_CDLINNECK_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLINNECK_Peek(const TA_CDLINNECK_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLINNECK_Value(const TA_CDLINNECK_Stream* stream, int* outInteger) + TA_RetCode TA_CDLINNECK_Clone(const TA_CDLINNECK_Stream* stream, TA_CDLINNECK_Stream** clone) + TA_RetCode TA_CDLINNECK_Close(TA_CDLINNECK_Stream* stream) + TA_RetCode TA_CDLINNECK_OutRange(const TA_CDLINNECK_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLINNECK_Advance(TA_CDLINNECK_Stream* stream) + + ctypedef struct TA_CDLINVERTEDHAMMER_Stream: + pass + TA_RetCode TA_CDLINVERTEDHAMMER_OpenAndFill(TA_CDLINVERTEDHAMMER_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLINVERTEDHAMMER_Open(TA_CDLINVERTEDHAMMER_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLINVERTEDHAMMER_Update(TA_CDLINVERTEDHAMMER_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLINVERTEDHAMMER_Peek(const TA_CDLINVERTEDHAMMER_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLINVERTEDHAMMER_Value(const TA_CDLINVERTEDHAMMER_Stream* stream, int* outInteger) + TA_RetCode TA_CDLINVERTEDHAMMER_Clone(const TA_CDLINVERTEDHAMMER_Stream* stream, TA_CDLINVERTEDHAMMER_Stream** clone) + TA_RetCode TA_CDLINVERTEDHAMMER_Close(TA_CDLINVERTEDHAMMER_Stream* stream) + TA_RetCode TA_CDLINVERTEDHAMMER_OutRange(const TA_CDLINVERTEDHAMMER_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLINVERTEDHAMMER_Advance(TA_CDLINVERTEDHAMMER_Stream* stream) + + ctypedef struct TA_CDLKICKING_Stream: + pass + TA_RetCode TA_CDLKICKING_OpenAndFill(TA_CDLKICKING_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLKICKING_Open(TA_CDLKICKING_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLKICKING_Update(TA_CDLKICKING_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLKICKING_Peek(const TA_CDLKICKING_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLKICKING_Value(const TA_CDLKICKING_Stream* stream, int* outInteger) + TA_RetCode TA_CDLKICKING_Clone(const TA_CDLKICKING_Stream* stream, TA_CDLKICKING_Stream** clone) + TA_RetCode TA_CDLKICKING_Close(TA_CDLKICKING_Stream* stream) + TA_RetCode TA_CDLKICKING_OutRange(const TA_CDLKICKING_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLKICKING_Advance(TA_CDLKICKING_Stream* stream) + + ctypedef struct TA_CDLKICKINGBYLENGTH_Stream: + pass + TA_RetCode TA_CDLKICKINGBYLENGTH_OpenAndFill(TA_CDLKICKINGBYLENGTH_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLKICKINGBYLENGTH_Open(TA_CDLKICKINGBYLENGTH_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLKICKINGBYLENGTH_Update(TA_CDLKICKINGBYLENGTH_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLKICKINGBYLENGTH_Peek(const TA_CDLKICKINGBYLENGTH_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLKICKINGBYLENGTH_Value(const TA_CDLKICKINGBYLENGTH_Stream* stream, int* outInteger) + TA_RetCode TA_CDLKICKINGBYLENGTH_Clone(const TA_CDLKICKINGBYLENGTH_Stream* stream, TA_CDLKICKINGBYLENGTH_Stream** clone) + TA_RetCode TA_CDLKICKINGBYLENGTH_Close(TA_CDLKICKINGBYLENGTH_Stream* stream) + TA_RetCode TA_CDLKICKINGBYLENGTH_OutRange(const TA_CDLKICKINGBYLENGTH_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLKICKINGBYLENGTH_Advance(TA_CDLKICKINGBYLENGTH_Stream* stream) + + ctypedef struct TA_CDLLADDERBOTTOM_Stream: + pass + TA_RetCode TA_CDLLADDERBOTTOM_OpenAndFill(TA_CDLLADDERBOTTOM_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLLADDERBOTTOM_Open(TA_CDLLADDERBOTTOM_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLLADDERBOTTOM_Update(TA_CDLLADDERBOTTOM_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLLADDERBOTTOM_Peek(const TA_CDLLADDERBOTTOM_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLLADDERBOTTOM_Value(const TA_CDLLADDERBOTTOM_Stream* stream, int* outInteger) + TA_RetCode TA_CDLLADDERBOTTOM_Clone(const TA_CDLLADDERBOTTOM_Stream* stream, TA_CDLLADDERBOTTOM_Stream** clone) + TA_RetCode TA_CDLLADDERBOTTOM_Close(TA_CDLLADDERBOTTOM_Stream* stream) + TA_RetCode TA_CDLLADDERBOTTOM_OutRange(const TA_CDLLADDERBOTTOM_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLLADDERBOTTOM_Advance(TA_CDLLADDERBOTTOM_Stream* stream) + + ctypedef struct TA_CDLLONGLEGGEDDOJI_Stream: + pass + TA_RetCode TA_CDLLONGLEGGEDDOJI_OpenAndFill(TA_CDLLONGLEGGEDDOJI_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLLONGLEGGEDDOJI_Open(TA_CDLLONGLEGGEDDOJI_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLLONGLEGGEDDOJI_Update(TA_CDLLONGLEGGEDDOJI_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLLONGLEGGEDDOJI_Peek(const TA_CDLLONGLEGGEDDOJI_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLLONGLEGGEDDOJI_Value(const TA_CDLLONGLEGGEDDOJI_Stream* stream, int* outInteger) + TA_RetCode TA_CDLLONGLEGGEDDOJI_Clone(const TA_CDLLONGLEGGEDDOJI_Stream* stream, TA_CDLLONGLEGGEDDOJI_Stream** clone) + TA_RetCode TA_CDLLONGLEGGEDDOJI_Close(TA_CDLLONGLEGGEDDOJI_Stream* stream) + TA_RetCode TA_CDLLONGLEGGEDDOJI_OutRange(const TA_CDLLONGLEGGEDDOJI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLLONGLEGGEDDOJI_Advance(TA_CDLLONGLEGGEDDOJI_Stream* stream) + + ctypedef struct TA_CDLLONGLINE_Stream: + pass + TA_RetCode TA_CDLLONGLINE_OpenAndFill(TA_CDLLONGLINE_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLLONGLINE_Open(TA_CDLLONGLINE_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLLONGLINE_Update(TA_CDLLONGLINE_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLLONGLINE_Peek(const TA_CDLLONGLINE_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLLONGLINE_Value(const TA_CDLLONGLINE_Stream* stream, int* outInteger) + TA_RetCode TA_CDLLONGLINE_Clone(const TA_CDLLONGLINE_Stream* stream, TA_CDLLONGLINE_Stream** clone) + TA_RetCode TA_CDLLONGLINE_Close(TA_CDLLONGLINE_Stream* stream) + TA_RetCode TA_CDLLONGLINE_OutRange(const TA_CDLLONGLINE_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLLONGLINE_Advance(TA_CDLLONGLINE_Stream* stream) + + ctypedef struct TA_CDLMARUBOZU_Stream: + pass + TA_RetCode TA_CDLMARUBOZU_OpenAndFill(TA_CDLMARUBOZU_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLMARUBOZU_Open(TA_CDLMARUBOZU_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLMARUBOZU_Update(TA_CDLMARUBOZU_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLMARUBOZU_Peek(const TA_CDLMARUBOZU_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLMARUBOZU_Value(const TA_CDLMARUBOZU_Stream* stream, int* outInteger) + TA_RetCode TA_CDLMARUBOZU_Clone(const TA_CDLMARUBOZU_Stream* stream, TA_CDLMARUBOZU_Stream** clone) + TA_RetCode TA_CDLMARUBOZU_Close(TA_CDLMARUBOZU_Stream* stream) + TA_RetCode TA_CDLMARUBOZU_OutRange(const TA_CDLMARUBOZU_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLMARUBOZU_Advance(TA_CDLMARUBOZU_Stream* stream) + + ctypedef struct TA_CDLMATCHINGLOW_Stream: + pass + TA_RetCode TA_CDLMATCHINGLOW_OpenAndFill(TA_CDLMATCHINGLOW_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLMATCHINGLOW_Open(TA_CDLMATCHINGLOW_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLMATCHINGLOW_Update(TA_CDLMATCHINGLOW_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLMATCHINGLOW_Peek(const TA_CDLMATCHINGLOW_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLMATCHINGLOW_Value(const TA_CDLMATCHINGLOW_Stream* stream, int* outInteger) + TA_RetCode TA_CDLMATCHINGLOW_Clone(const TA_CDLMATCHINGLOW_Stream* stream, TA_CDLMATCHINGLOW_Stream** clone) + TA_RetCode TA_CDLMATCHINGLOW_Close(TA_CDLMATCHINGLOW_Stream* stream) + TA_RetCode TA_CDLMATCHINGLOW_OutRange(const TA_CDLMATCHINGLOW_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLMATCHINGLOW_Advance(TA_CDLMATCHINGLOW_Stream* stream) + + ctypedef struct TA_CDLMATHOLD_Stream: + pass + TA_RetCode TA_CDLMATHOLD_OpenAndFill(TA_CDLMATHOLD_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, double optInPenetration, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLMATHOLD_Open(TA_CDLMATHOLD_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, double optInPenetration, int* outInteger) + TA_RetCode TA_CDLMATHOLD_Update(TA_CDLMATHOLD_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLMATHOLD_Peek(const TA_CDLMATHOLD_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLMATHOLD_Value(const TA_CDLMATHOLD_Stream* stream, int* outInteger) + TA_RetCode TA_CDLMATHOLD_Clone(const TA_CDLMATHOLD_Stream* stream, TA_CDLMATHOLD_Stream** clone) + TA_RetCode TA_CDLMATHOLD_Close(TA_CDLMATHOLD_Stream* stream) + TA_RetCode TA_CDLMATHOLD_OutRange(const TA_CDLMATHOLD_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLMATHOLD_Advance(TA_CDLMATHOLD_Stream* stream) + + ctypedef struct TA_CDLMORNINGDOJISTAR_Stream: + pass + TA_RetCode TA_CDLMORNINGDOJISTAR_OpenAndFill(TA_CDLMORNINGDOJISTAR_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, double optInPenetration, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLMORNINGDOJISTAR_Open(TA_CDLMORNINGDOJISTAR_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, double optInPenetration, int* outInteger) + TA_RetCode TA_CDLMORNINGDOJISTAR_Update(TA_CDLMORNINGDOJISTAR_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLMORNINGDOJISTAR_Peek(const TA_CDLMORNINGDOJISTAR_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLMORNINGDOJISTAR_Value(const TA_CDLMORNINGDOJISTAR_Stream* stream, int* outInteger) + TA_RetCode TA_CDLMORNINGDOJISTAR_Clone(const TA_CDLMORNINGDOJISTAR_Stream* stream, TA_CDLMORNINGDOJISTAR_Stream** clone) + TA_RetCode TA_CDLMORNINGDOJISTAR_Close(TA_CDLMORNINGDOJISTAR_Stream* stream) + TA_RetCode TA_CDLMORNINGDOJISTAR_OutRange(const TA_CDLMORNINGDOJISTAR_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLMORNINGDOJISTAR_Advance(TA_CDLMORNINGDOJISTAR_Stream* stream) + + ctypedef struct TA_CDLMORNINGSTAR_Stream: + pass + TA_RetCode TA_CDLMORNINGSTAR_OpenAndFill(TA_CDLMORNINGSTAR_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, double optInPenetration, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLMORNINGSTAR_Open(TA_CDLMORNINGSTAR_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, double optInPenetration, int* outInteger) + TA_RetCode TA_CDLMORNINGSTAR_Update(TA_CDLMORNINGSTAR_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLMORNINGSTAR_Peek(const TA_CDLMORNINGSTAR_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLMORNINGSTAR_Value(const TA_CDLMORNINGSTAR_Stream* stream, int* outInteger) + TA_RetCode TA_CDLMORNINGSTAR_Clone(const TA_CDLMORNINGSTAR_Stream* stream, TA_CDLMORNINGSTAR_Stream** clone) + TA_RetCode TA_CDLMORNINGSTAR_Close(TA_CDLMORNINGSTAR_Stream* stream) + TA_RetCode TA_CDLMORNINGSTAR_OutRange(const TA_CDLMORNINGSTAR_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLMORNINGSTAR_Advance(TA_CDLMORNINGSTAR_Stream* stream) + + ctypedef struct TA_CDLONNECK_Stream: + pass + TA_RetCode TA_CDLONNECK_OpenAndFill(TA_CDLONNECK_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLONNECK_Open(TA_CDLONNECK_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLONNECK_Update(TA_CDLONNECK_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLONNECK_Peek(const TA_CDLONNECK_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLONNECK_Value(const TA_CDLONNECK_Stream* stream, int* outInteger) + TA_RetCode TA_CDLONNECK_Clone(const TA_CDLONNECK_Stream* stream, TA_CDLONNECK_Stream** clone) + TA_RetCode TA_CDLONNECK_Close(TA_CDLONNECK_Stream* stream) + TA_RetCode TA_CDLONNECK_OutRange(const TA_CDLONNECK_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLONNECK_Advance(TA_CDLONNECK_Stream* stream) + + ctypedef struct TA_CDLPIERCING_Stream: + pass + TA_RetCode TA_CDLPIERCING_OpenAndFill(TA_CDLPIERCING_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLPIERCING_Open(TA_CDLPIERCING_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLPIERCING_Update(TA_CDLPIERCING_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLPIERCING_Peek(const TA_CDLPIERCING_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLPIERCING_Value(const TA_CDLPIERCING_Stream* stream, int* outInteger) + TA_RetCode TA_CDLPIERCING_Clone(const TA_CDLPIERCING_Stream* stream, TA_CDLPIERCING_Stream** clone) + TA_RetCode TA_CDLPIERCING_Close(TA_CDLPIERCING_Stream* stream) + TA_RetCode TA_CDLPIERCING_OutRange(const TA_CDLPIERCING_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLPIERCING_Advance(TA_CDLPIERCING_Stream* stream) + + ctypedef struct TA_CDLRICKSHAWMAN_Stream: + pass + TA_RetCode TA_CDLRICKSHAWMAN_OpenAndFill(TA_CDLRICKSHAWMAN_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLRICKSHAWMAN_Open(TA_CDLRICKSHAWMAN_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLRICKSHAWMAN_Update(TA_CDLRICKSHAWMAN_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLRICKSHAWMAN_Peek(const TA_CDLRICKSHAWMAN_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLRICKSHAWMAN_Value(const TA_CDLRICKSHAWMAN_Stream* stream, int* outInteger) + TA_RetCode TA_CDLRICKSHAWMAN_Clone(const TA_CDLRICKSHAWMAN_Stream* stream, TA_CDLRICKSHAWMAN_Stream** clone) + TA_RetCode TA_CDLRICKSHAWMAN_Close(TA_CDLRICKSHAWMAN_Stream* stream) + TA_RetCode TA_CDLRICKSHAWMAN_OutRange(const TA_CDLRICKSHAWMAN_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLRICKSHAWMAN_Advance(TA_CDLRICKSHAWMAN_Stream* stream) + + ctypedef struct TA_CDLRISEFALL3METHODS_Stream: + pass + TA_RetCode TA_CDLRISEFALL3METHODS_OpenAndFill(TA_CDLRISEFALL3METHODS_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLRISEFALL3METHODS_Open(TA_CDLRISEFALL3METHODS_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLRISEFALL3METHODS_Update(TA_CDLRISEFALL3METHODS_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLRISEFALL3METHODS_Peek(const TA_CDLRISEFALL3METHODS_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLRISEFALL3METHODS_Value(const TA_CDLRISEFALL3METHODS_Stream* stream, int* outInteger) + TA_RetCode TA_CDLRISEFALL3METHODS_Clone(const TA_CDLRISEFALL3METHODS_Stream* stream, TA_CDLRISEFALL3METHODS_Stream** clone) + TA_RetCode TA_CDLRISEFALL3METHODS_Close(TA_CDLRISEFALL3METHODS_Stream* stream) + TA_RetCode TA_CDLRISEFALL3METHODS_OutRange(const TA_CDLRISEFALL3METHODS_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLRISEFALL3METHODS_Advance(TA_CDLRISEFALL3METHODS_Stream* stream) + + ctypedef struct TA_CDLSEPARATINGLINES_Stream: + pass + TA_RetCode TA_CDLSEPARATINGLINES_OpenAndFill(TA_CDLSEPARATINGLINES_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLSEPARATINGLINES_Open(TA_CDLSEPARATINGLINES_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLSEPARATINGLINES_Update(TA_CDLSEPARATINGLINES_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLSEPARATINGLINES_Peek(const TA_CDLSEPARATINGLINES_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLSEPARATINGLINES_Value(const TA_CDLSEPARATINGLINES_Stream* stream, int* outInteger) + TA_RetCode TA_CDLSEPARATINGLINES_Clone(const TA_CDLSEPARATINGLINES_Stream* stream, TA_CDLSEPARATINGLINES_Stream** clone) + TA_RetCode TA_CDLSEPARATINGLINES_Close(TA_CDLSEPARATINGLINES_Stream* stream) + TA_RetCode TA_CDLSEPARATINGLINES_OutRange(const TA_CDLSEPARATINGLINES_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLSEPARATINGLINES_Advance(TA_CDLSEPARATINGLINES_Stream* stream) + + ctypedef struct TA_CDLSHOOTINGSTAR_Stream: + pass + TA_RetCode TA_CDLSHOOTINGSTAR_OpenAndFill(TA_CDLSHOOTINGSTAR_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLSHOOTINGSTAR_Open(TA_CDLSHOOTINGSTAR_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLSHOOTINGSTAR_Update(TA_CDLSHOOTINGSTAR_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLSHOOTINGSTAR_Peek(const TA_CDLSHOOTINGSTAR_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLSHOOTINGSTAR_Value(const TA_CDLSHOOTINGSTAR_Stream* stream, int* outInteger) + TA_RetCode TA_CDLSHOOTINGSTAR_Clone(const TA_CDLSHOOTINGSTAR_Stream* stream, TA_CDLSHOOTINGSTAR_Stream** clone) + TA_RetCode TA_CDLSHOOTINGSTAR_Close(TA_CDLSHOOTINGSTAR_Stream* stream) + TA_RetCode TA_CDLSHOOTINGSTAR_OutRange(const TA_CDLSHOOTINGSTAR_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLSHOOTINGSTAR_Advance(TA_CDLSHOOTINGSTAR_Stream* stream) + + ctypedef struct TA_CDLSHORTLINE_Stream: + pass + TA_RetCode TA_CDLSHORTLINE_OpenAndFill(TA_CDLSHORTLINE_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLSHORTLINE_Open(TA_CDLSHORTLINE_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLSHORTLINE_Update(TA_CDLSHORTLINE_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLSHORTLINE_Peek(const TA_CDLSHORTLINE_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLSHORTLINE_Value(const TA_CDLSHORTLINE_Stream* stream, int* outInteger) + TA_RetCode TA_CDLSHORTLINE_Clone(const TA_CDLSHORTLINE_Stream* stream, TA_CDLSHORTLINE_Stream** clone) + TA_RetCode TA_CDLSHORTLINE_Close(TA_CDLSHORTLINE_Stream* stream) + TA_RetCode TA_CDLSHORTLINE_OutRange(const TA_CDLSHORTLINE_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLSHORTLINE_Advance(TA_CDLSHORTLINE_Stream* stream) + + ctypedef struct TA_CDLSPINNINGTOP_Stream: + pass + TA_RetCode TA_CDLSPINNINGTOP_OpenAndFill(TA_CDLSPINNINGTOP_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLSPINNINGTOP_Open(TA_CDLSPINNINGTOP_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLSPINNINGTOP_Update(TA_CDLSPINNINGTOP_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLSPINNINGTOP_Peek(const TA_CDLSPINNINGTOP_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLSPINNINGTOP_Value(const TA_CDLSPINNINGTOP_Stream* stream, int* outInteger) + TA_RetCode TA_CDLSPINNINGTOP_Clone(const TA_CDLSPINNINGTOP_Stream* stream, TA_CDLSPINNINGTOP_Stream** clone) + TA_RetCode TA_CDLSPINNINGTOP_Close(TA_CDLSPINNINGTOP_Stream* stream) + TA_RetCode TA_CDLSPINNINGTOP_OutRange(const TA_CDLSPINNINGTOP_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLSPINNINGTOP_Advance(TA_CDLSPINNINGTOP_Stream* stream) + + ctypedef struct TA_CDLSTALLEDPATTERN_Stream: + pass + TA_RetCode TA_CDLSTALLEDPATTERN_OpenAndFill(TA_CDLSTALLEDPATTERN_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLSTALLEDPATTERN_Open(TA_CDLSTALLEDPATTERN_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLSTALLEDPATTERN_Update(TA_CDLSTALLEDPATTERN_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLSTALLEDPATTERN_Peek(const TA_CDLSTALLEDPATTERN_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLSTALLEDPATTERN_Value(const TA_CDLSTALLEDPATTERN_Stream* stream, int* outInteger) + TA_RetCode TA_CDLSTALLEDPATTERN_Clone(const TA_CDLSTALLEDPATTERN_Stream* stream, TA_CDLSTALLEDPATTERN_Stream** clone) + TA_RetCode TA_CDLSTALLEDPATTERN_Close(TA_CDLSTALLEDPATTERN_Stream* stream) + TA_RetCode TA_CDLSTALLEDPATTERN_OutRange(const TA_CDLSTALLEDPATTERN_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLSTALLEDPATTERN_Advance(TA_CDLSTALLEDPATTERN_Stream* stream) + + ctypedef struct TA_CDLSTICKSANDWICH_Stream: + pass + TA_RetCode TA_CDLSTICKSANDWICH_OpenAndFill(TA_CDLSTICKSANDWICH_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLSTICKSANDWICH_Open(TA_CDLSTICKSANDWICH_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLSTICKSANDWICH_Update(TA_CDLSTICKSANDWICH_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLSTICKSANDWICH_Peek(const TA_CDLSTICKSANDWICH_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLSTICKSANDWICH_Value(const TA_CDLSTICKSANDWICH_Stream* stream, int* outInteger) + TA_RetCode TA_CDLSTICKSANDWICH_Clone(const TA_CDLSTICKSANDWICH_Stream* stream, TA_CDLSTICKSANDWICH_Stream** clone) + TA_RetCode TA_CDLSTICKSANDWICH_Close(TA_CDLSTICKSANDWICH_Stream* stream) + TA_RetCode TA_CDLSTICKSANDWICH_OutRange(const TA_CDLSTICKSANDWICH_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLSTICKSANDWICH_Advance(TA_CDLSTICKSANDWICH_Stream* stream) + + ctypedef struct TA_CDLTAKURI_Stream: + pass + TA_RetCode TA_CDLTAKURI_OpenAndFill(TA_CDLTAKURI_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLTAKURI_Open(TA_CDLTAKURI_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLTAKURI_Update(TA_CDLTAKURI_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLTAKURI_Peek(const TA_CDLTAKURI_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLTAKURI_Value(const TA_CDLTAKURI_Stream* stream, int* outInteger) + TA_RetCode TA_CDLTAKURI_Clone(const TA_CDLTAKURI_Stream* stream, TA_CDLTAKURI_Stream** clone) + TA_RetCode TA_CDLTAKURI_Close(TA_CDLTAKURI_Stream* stream) + TA_RetCode TA_CDLTAKURI_OutRange(const TA_CDLTAKURI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLTAKURI_Advance(TA_CDLTAKURI_Stream* stream) + + ctypedef struct TA_CDLTASUKIGAP_Stream: + pass + TA_RetCode TA_CDLTASUKIGAP_OpenAndFill(TA_CDLTASUKIGAP_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLTASUKIGAP_Open(TA_CDLTASUKIGAP_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLTASUKIGAP_Update(TA_CDLTASUKIGAP_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLTASUKIGAP_Peek(const TA_CDLTASUKIGAP_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLTASUKIGAP_Value(const TA_CDLTASUKIGAP_Stream* stream, int* outInteger) + TA_RetCode TA_CDLTASUKIGAP_Clone(const TA_CDLTASUKIGAP_Stream* stream, TA_CDLTASUKIGAP_Stream** clone) + TA_RetCode TA_CDLTASUKIGAP_Close(TA_CDLTASUKIGAP_Stream* stream) + TA_RetCode TA_CDLTASUKIGAP_OutRange(const TA_CDLTASUKIGAP_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLTASUKIGAP_Advance(TA_CDLTASUKIGAP_Stream* stream) + + ctypedef struct TA_CDLTHRUSTING_Stream: + pass + TA_RetCode TA_CDLTHRUSTING_OpenAndFill(TA_CDLTHRUSTING_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLTHRUSTING_Open(TA_CDLTHRUSTING_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLTHRUSTING_Update(TA_CDLTHRUSTING_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLTHRUSTING_Peek(const TA_CDLTHRUSTING_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLTHRUSTING_Value(const TA_CDLTHRUSTING_Stream* stream, int* outInteger) + TA_RetCode TA_CDLTHRUSTING_Clone(const TA_CDLTHRUSTING_Stream* stream, TA_CDLTHRUSTING_Stream** clone) + TA_RetCode TA_CDLTHRUSTING_Close(TA_CDLTHRUSTING_Stream* stream) + TA_RetCode TA_CDLTHRUSTING_OutRange(const TA_CDLTHRUSTING_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLTHRUSTING_Advance(TA_CDLTHRUSTING_Stream* stream) + + ctypedef struct TA_CDLTRISTAR_Stream: + pass + TA_RetCode TA_CDLTRISTAR_OpenAndFill(TA_CDLTRISTAR_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLTRISTAR_Open(TA_CDLTRISTAR_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLTRISTAR_Update(TA_CDLTRISTAR_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLTRISTAR_Peek(const TA_CDLTRISTAR_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLTRISTAR_Value(const TA_CDLTRISTAR_Stream* stream, int* outInteger) + TA_RetCode TA_CDLTRISTAR_Clone(const TA_CDLTRISTAR_Stream* stream, TA_CDLTRISTAR_Stream** clone) + TA_RetCode TA_CDLTRISTAR_Close(TA_CDLTRISTAR_Stream* stream) + TA_RetCode TA_CDLTRISTAR_OutRange(const TA_CDLTRISTAR_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLTRISTAR_Advance(TA_CDLTRISTAR_Stream* stream) + + ctypedef struct TA_CDLUNIQUE3RIVER_Stream: + pass + TA_RetCode TA_CDLUNIQUE3RIVER_OpenAndFill(TA_CDLUNIQUE3RIVER_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLUNIQUE3RIVER_Open(TA_CDLUNIQUE3RIVER_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLUNIQUE3RIVER_Update(TA_CDLUNIQUE3RIVER_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLUNIQUE3RIVER_Peek(const TA_CDLUNIQUE3RIVER_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLUNIQUE3RIVER_Value(const TA_CDLUNIQUE3RIVER_Stream* stream, int* outInteger) + TA_RetCode TA_CDLUNIQUE3RIVER_Clone(const TA_CDLUNIQUE3RIVER_Stream* stream, TA_CDLUNIQUE3RIVER_Stream** clone) + TA_RetCode TA_CDLUNIQUE3RIVER_Close(TA_CDLUNIQUE3RIVER_Stream* stream) + TA_RetCode TA_CDLUNIQUE3RIVER_OutRange(const TA_CDLUNIQUE3RIVER_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLUNIQUE3RIVER_Advance(TA_CDLUNIQUE3RIVER_Stream* stream) + + ctypedef struct TA_CDLUPSIDEGAP2CROWS_Stream: + pass + TA_RetCode TA_CDLUPSIDEGAP2CROWS_OpenAndFill(TA_CDLUPSIDEGAP2CROWS_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLUPSIDEGAP2CROWS_Open(TA_CDLUPSIDEGAP2CROWS_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLUPSIDEGAP2CROWS_Update(TA_CDLUPSIDEGAP2CROWS_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLUPSIDEGAP2CROWS_Peek(const TA_CDLUPSIDEGAP2CROWS_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLUPSIDEGAP2CROWS_Value(const TA_CDLUPSIDEGAP2CROWS_Stream* stream, int* outInteger) + TA_RetCode TA_CDLUPSIDEGAP2CROWS_Clone(const TA_CDLUPSIDEGAP2CROWS_Stream* stream, TA_CDLUPSIDEGAP2CROWS_Stream** clone) + TA_RetCode TA_CDLUPSIDEGAP2CROWS_Close(TA_CDLUPSIDEGAP2CROWS_Stream* stream) + TA_RetCode TA_CDLUPSIDEGAP2CROWS_OutRange(const TA_CDLUPSIDEGAP2CROWS_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLUPSIDEGAP2CROWS_Advance(TA_CDLUPSIDEGAP2CROWS_Stream* stream) + + ctypedef struct TA_CDLXSIDEGAP3METHODS_Stream: + pass + TA_RetCode TA_CDLXSIDEGAP3METHODS_OpenAndFill(TA_CDLXSIDEGAP3METHODS_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_CDLXSIDEGAP3METHODS_Open(TA_CDLXSIDEGAP3METHODS_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outInteger) + TA_RetCode TA_CDLXSIDEGAP3METHODS_Update(TA_CDLXSIDEGAP3METHODS_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLXSIDEGAP3METHODS_Peek(const TA_CDLXSIDEGAP3METHODS_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, int* outInteger) + TA_RetCode TA_CDLXSIDEGAP3METHODS_Value(const TA_CDLXSIDEGAP3METHODS_Stream* stream, int* outInteger) + TA_RetCode TA_CDLXSIDEGAP3METHODS_Clone(const TA_CDLXSIDEGAP3METHODS_Stream* stream, TA_CDLXSIDEGAP3METHODS_Stream** clone) + TA_RetCode TA_CDLXSIDEGAP3METHODS_Close(TA_CDLXSIDEGAP3METHODS_Stream* stream) + TA_RetCode TA_CDLXSIDEGAP3METHODS_OutRange(const TA_CDLXSIDEGAP3METHODS_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CDLXSIDEGAP3METHODS_Advance(TA_CDLXSIDEGAP3METHODS_Stream* stream) + + ctypedef struct TA_CEIL_Stream: + pass + TA_RetCode TA_CEIL_OpenAndFill(TA_CEIL_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_CEIL_Open(TA_CEIL_Stream** stream, const double* inReal, int historyLen, double* outReal) + TA_RetCode TA_CEIL_Update(TA_CEIL_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_CEIL_Peek(const TA_CEIL_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_CEIL_Value(const TA_CEIL_Stream* stream, double* outReal) + TA_RetCode TA_CEIL_Clone(const TA_CEIL_Stream* stream, TA_CEIL_Stream** clone) + TA_RetCode TA_CEIL_Close(TA_CEIL_Stream* stream) + TA_RetCode TA_CEIL_OutRange(const TA_CEIL_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CEIL_Advance(TA_CEIL_Stream* stream) + + ctypedef struct TA_CMF_Stream: + pass + TA_RetCode TA_CMF_OpenAndFill(TA_CMF_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, const double* inVolume, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_CMF_Open(TA_CMF_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, const double* inVolume, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_CMF_Update(TA_CMF_Stream* stream, double inHigh, double inLow, double inClose, double inVolume, double* outReal) + TA_RetCode TA_CMF_Peek(const TA_CMF_Stream* stream, double inHigh, double inLow, double inClose, double inVolume, double* outReal) + TA_RetCode TA_CMF_Value(const TA_CMF_Stream* stream, double* outReal) + TA_RetCode TA_CMF_Clone(const TA_CMF_Stream* stream, TA_CMF_Stream** clone) + TA_RetCode TA_CMF_Close(TA_CMF_Stream* stream) + TA_RetCode TA_CMF_OutRange(const TA_CMF_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CMF_Advance(TA_CMF_Stream* stream) + + ctypedef struct TA_CMO_Stream: + pass + TA_RetCode TA_CMO_OpenAndFill(TA_CMO_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_CMO_Open(TA_CMO_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_CMO_Update(TA_CMO_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_CMO_Peek(const TA_CMO_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_CMO_Value(const TA_CMO_Stream* stream, double* outReal) + TA_RetCode TA_CMO_Clone(const TA_CMO_Stream* stream, TA_CMO_Stream** clone) + TA_RetCode TA_CMO_Close(TA_CMO_Stream* stream) + TA_RetCode TA_CMO_OutRange(const TA_CMO_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CMO_Advance(TA_CMO_Stream* stream) + + ctypedef struct TA_CMOU_Stream: + pass + TA_RetCode TA_CMOU_OpenAndFill(TA_CMOU_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_CMOU_Open(TA_CMOU_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_CMOU_Update(TA_CMOU_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_CMOU_Peek(const TA_CMOU_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_CMOU_Value(const TA_CMOU_Stream* stream, double* outReal) + TA_RetCode TA_CMOU_Clone(const TA_CMOU_Stream* stream, TA_CMOU_Stream** clone) + TA_RetCode TA_CMOU_Close(TA_CMOU_Stream* stream) + TA_RetCode TA_CMOU_OutRange(const TA_CMOU_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CMOU_Advance(TA_CMOU_Stream* stream) + + ctypedef struct TA_COPPOCK_Stream: + pass + TA_RetCode TA_COPPOCK_OpenAndFill(TA_COPPOCK_Stream** stream, const double* inReal, int historyLen, int optInWMAPeriod, int optInROC1Period, int optInROC2Period, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_COPPOCK_Open(TA_COPPOCK_Stream** stream, const double* inReal, int historyLen, int optInWMAPeriod, int optInROC1Period, int optInROC2Period, double* outReal) + TA_RetCode TA_COPPOCK_Update(TA_COPPOCK_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_COPPOCK_Peek(const TA_COPPOCK_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_COPPOCK_Value(const TA_COPPOCK_Stream* stream, double* outReal) + TA_RetCode TA_COPPOCK_Clone(const TA_COPPOCK_Stream* stream, TA_COPPOCK_Stream** clone) + TA_RetCode TA_COPPOCK_Close(TA_COPPOCK_Stream* stream) + TA_RetCode TA_COPPOCK_OutRange(const TA_COPPOCK_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_COPPOCK_Advance(TA_COPPOCK_Stream* stream) + + ctypedef struct TA_CORREL_Stream: + pass + TA_RetCode TA_CORREL_OpenAndFill(TA_CORREL_Stream** stream, const double* inReal0, const double* inReal1, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_CORREL_Open(TA_CORREL_Stream** stream, const double* inReal0, const double* inReal1, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_CORREL_Update(TA_CORREL_Stream* stream, double inReal0, double inReal1, double* outReal) + TA_RetCode TA_CORREL_Peek(const TA_CORREL_Stream* stream, double inReal0, double inReal1, double* outReal) + TA_RetCode TA_CORREL_Value(const TA_CORREL_Stream* stream, double* outReal) + TA_RetCode TA_CORREL_Clone(const TA_CORREL_Stream* stream, TA_CORREL_Stream** clone) + TA_RetCode TA_CORREL_Close(TA_CORREL_Stream* stream) + TA_RetCode TA_CORREL_OutRange(const TA_CORREL_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CORREL_Advance(TA_CORREL_Stream* stream) + + ctypedef struct TA_COS_Stream: + pass + TA_RetCode TA_COS_OpenAndFill(TA_COS_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_COS_Open(TA_COS_Stream** stream, const double* inReal, int historyLen, double* outReal) + TA_RetCode TA_COS_Update(TA_COS_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_COS_Peek(const TA_COS_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_COS_Value(const TA_COS_Stream* stream, double* outReal) + TA_RetCode TA_COS_Clone(const TA_COS_Stream* stream, TA_COS_Stream** clone) + TA_RetCode TA_COS_Close(TA_COS_Stream* stream) + TA_RetCode TA_COS_OutRange(const TA_COS_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_COS_Advance(TA_COS_Stream* stream) + + ctypedef struct TA_COSH_Stream: + pass + TA_RetCode TA_COSH_OpenAndFill(TA_COSH_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_COSH_Open(TA_COSH_Stream** stream, const double* inReal, int historyLen, double* outReal) + TA_RetCode TA_COSH_Update(TA_COSH_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_COSH_Peek(const TA_COSH_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_COSH_Value(const TA_COSH_Stream* stream, double* outReal) + TA_RetCode TA_COSH_Clone(const TA_COSH_Stream* stream, TA_COSH_Stream** clone) + TA_RetCode TA_COSH_Close(TA_COSH_Stream* stream) + TA_RetCode TA_COSH_OutRange(const TA_COSH_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_COSH_Advance(TA_COSH_Stream* stream) + + ctypedef struct TA_CUMSUM_Stream: + pass + TA_RetCode TA_CUMSUM_OpenAndFill(TA_CUMSUM_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_CUMSUM_Open(TA_CUMSUM_Stream** stream, const double* inReal, int historyLen, double* outReal) + TA_RetCode TA_CUMSUM_Update(TA_CUMSUM_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_CUMSUM_Peek(const TA_CUMSUM_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_CUMSUM_Value(const TA_CUMSUM_Stream* stream, double* outReal) + TA_RetCode TA_CUMSUM_Clone(const TA_CUMSUM_Stream* stream, TA_CUMSUM_Stream** clone) + TA_RetCode TA_CUMSUM_Close(TA_CUMSUM_Stream* stream) + TA_RetCode TA_CUMSUM_OutRange(const TA_CUMSUM_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CUMSUM_Advance(TA_CUMSUM_Stream* stream) + + ctypedef struct TA_CVI_Stream: + pass + TA_RetCode TA_CVI_OpenAndFill(TA_CVI_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInTimePeriod, int optInROCPeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_CVI_Open(TA_CVI_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInTimePeriod, int optInROCPeriod, double* outReal) + TA_RetCode TA_CVI_Update(TA_CVI_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_CVI_Peek(const TA_CVI_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_CVI_Value(const TA_CVI_Stream* stream, double* outReal) + TA_RetCode TA_CVI_Clone(const TA_CVI_Stream* stream, TA_CVI_Stream** clone) + TA_RetCode TA_CVI_Close(TA_CVI_Stream* stream) + TA_RetCode TA_CVI_OutRange(const TA_CVI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_CVI_Advance(TA_CVI_Stream* stream) + + ctypedef struct TA_DEMA_Stream: + pass + TA_RetCode TA_DEMA_OpenAndFill(TA_DEMA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_DEMA_Open(TA_DEMA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_DEMA_Update(TA_DEMA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_DEMA_Peek(const TA_DEMA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_DEMA_Value(const TA_DEMA_Stream* stream, double* outReal) + TA_RetCode TA_DEMA_Clone(const TA_DEMA_Stream* stream, TA_DEMA_Stream** clone) + TA_RetCode TA_DEMA_Close(TA_DEMA_Stream* stream) + TA_RetCode TA_DEMA_OutRange(const TA_DEMA_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_DEMA_Advance(TA_DEMA_Stream* stream) + + ctypedef struct TA_DIV_Stream: + pass + TA_RetCode TA_DIV_OpenAndFill(TA_DIV_Stream** stream, const double* inReal0, const double* inReal1, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_DIV_Open(TA_DIV_Stream** stream, const double* inReal0, const double* inReal1, int historyLen, double* outReal) + TA_RetCode TA_DIV_Update(TA_DIV_Stream* stream, double inReal0, double inReal1, double* outReal) + TA_RetCode TA_DIV_Peek(const TA_DIV_Stream* stream, double inReal0, double inReal1, double* outReal) + TA_RetCode TA_DIV_Value(const TA_DIV_Stream* stream, double* outReal) + TA_RetCode TA_DIV_Clone(const TA_DIV_Stream* stream, TA_DIV_Stream** clone) + TA_RetCode TA_DIV_Close(TA_DIV_Stream* stream) + TA_RetCode TA_DIV_OutRange(const TA_DIV_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_DIV_Advance(TA_DIV_Stream* stream) + + ctypedef struct TA_DONCHIAN_Stream: + pass + TA_RetCode TA_DONCHIAN_OpenAndFill(TA_DONCHIAN_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outRealUpperBand, double* outRealMiddleBand, double* outRealLowerBand) + TA_RetCode TA_DONCHIAN_Open(TA_DONCHIAN_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInTimePeriod, double* outRealUpperBand, double* outRealMiddleBand, double* outRealLowerBand) + TA_RetCode TA_DONCHIAN_Update(TA_DONCHIAN_Stream* stream, double inHigh, double inLow, double* outRealUpperBand, double* outRealMiddleBand, double* outRealLowerBand) + TA_RetCode TA_DONCHIAN_Peek(const TA_DONCHIAN_Stream* stream, double inHigh, double inLow, double* outRealUpperBand, double* outRealMiddleBand, double* outRealLowerBand) + TA_RetCode TA_DONCHIAN_Value(const TA_DONCHIAN_Stream* stream, double* outRealUpperBand, double* outRealMiddleBand, double* outRealLowerBand) + TA_RetCode TA_DONCHIAN_Clone(const TA_DONCHIAN_Stream* stream, TA_DONCHIAN_Stream** clone) + TA_RetCode TA_DONCHIAN_Close(TA_DONCHIAN_Stream* stream) + TA_RetCode TA_DONCHIAN_OutRange(const TA_DONCHIAN_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_DONCHIAN_Advance(TA_DONCHIAN_Stream* stream) + + ctypedef struct TA_DPO_Stream: + pass + TA_RetCode TA_DPO_OpenAndFill(TA_DPO_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_DPO_Open(TA_DPO_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_DPO_Update(TA_DPO_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_DPO_Peek(const TA_DPO_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_DPO_Value(const TA_DPO_Stream* stream, double* outReal) + TA_RetCode TA_DPO_Clone(const TA_DPO_Stream* stream, TA_DPO_Stream** clone) + TA_RetCode TA_DPO_Close(TA_DPO_Stream* stream) + TA_RetCode TA_DPO_OutRange(const TA_DPO_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_DPO_Advance(TA_DPO_Stream* stream) + + ctypedef struct TA_DX_Stream: + pass + TA_RetCode TA_DX_OpenAndFill(TA_DX_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_DX_Open(TA_DX_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_DX_Update(TA_DX_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_DX_Peek(const TA_DX_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_DX_Value(const TA_DX_Stream* stream, double* outReal) + TA_RetCode TA_DX_Clone(const TA_DX_Stream* stream, TA_DX_Stream** clone) + TA_RetCode TA_DX_Close(TA_DX_Stream* stream) + TA_RetCode TA_DX_OutRange(const TA_DX_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_DX_Advance(TA_DX_Stream* stream) + + ctypedef struct TA_EFI_Stream: + pass + TA_RetCode TA_EFI_OpenAndFill(TA_EFI_Stream** stream, const double* inClose, const double* inVolume, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_EFI_Open(TA_EFI_Stream** stream, const double* inClose, const double* inVolume, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_EFI_Update(TA_EFI_Stream* stream, double inClose, double inVolume, double* outReal) + TA_RetCode TA_EFI_Peek(const TA_EFI_Stream* stream, double inClose, double inVolume, double* outReal) + TA_RetCode TA_EFI_Value(const TA_EFI_Stream* stream, double* outReal) + TA_RetCode TA_EFI_Clone(const TA_EFI_Stream* stream, TA_EFI_Stream** clone) + TA_RetCode TA_EFI_Close(TA_EFI_Stream* stream) + TA_RetCode TA_EFI_OutRange(const TA_EFI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_EFI_Advance(TA_EFI_Stream* stream) + + ctypedef struct TA_EMA_Stream: + pass + TA_RetCode TA_EMA_OpenAndFill(TA_EMA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_EMA_Open(TA_EMA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_EMA_Update(TA_EMA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_EMA_Peek(const TA_EMA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_EMA_Value(const TA_EMA_Stream* stream, double* outReal) + TA_RetCode TA_EMA_Clone(const TA_EMA_Stream* stream, TA_EMA_Stream** clone) + TA_RetCode TA_EMA_Close(TA_EMA_Stream* stream) + TA_RetCode TA_EMA_OutRange(const TA_EMA_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_EMA_Advance(TA_EMA_Stream* stream) + + ctypedef struct TA_ER_Stream: + pass + TA_RetCode TA_ER_OpenAndFill(TA_ER_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_ER_Open(TA_ER_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_ER_Update(TA_ER_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_ER_Peek(const TA_ER_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_ER_Value(const TA_ER_Stream* stream, double* outReal) + TA_RetCode TA_ER_Clone(const TA_ER_Stream* stream, TA_ER_Stream** clone) + TA_RetCode TA_ER_Close(TA_ER_Stream* stream) + TA_RetCode TA_ER_OutRange(const TA_ER_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_ER_Advance(TA_ER_Stream* stream) + + ctypedef struct TA_ERI_Stream: + pass + TA_RetCode TA_ERI_OpenAndFill(TA_ERI_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outBullPower, double* outBearPower) + TA_RetCode TA_ERI_Open(TA_ERI_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, double* outBullPower, double* outBearPower) + TA_RetCode TA_ERI_Update(TA_ERI_Stream* stream, double inHigh, double inLow, double inClose, double* outBullPower, double* outBearPower) + TA_RetCode TA_ERI_Peek(const TA_ERI_Stream* stream, double inHigh, double inLow, double inClose, double* outBullPower, double* outBearPower) + TA_RetCode TA_ERI_Value(const TA_ERI_Stream* stream, double* outBullPower, double* outBearPower) + TA_RetCode TA_ERI_Clone(const TA_ERI_Stream* stream, TA_ERI_Stream** clone) + TA_RetCode TA_ERI_Close(TA_ERI_Stream* stream) + TA_RetCode TA_ERI_OutRange(const TA_ERI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_ERI_Advance(TA_ERI_Stream* stream) + + ctypedef struct TA_EXP_Stream: + pass + TA_RetCode TA_EXP_OpenAndFill(TA_EXP_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_EXP_Open(TA_EXP_Stream** stream, const double* inReal, int historyLen, double* outReal) + TA_RetCode TA_EXP_Update(TA_EXP_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_EXP_Peek(const TA_EXP_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_EXP_Value(const TA_EXP_Stream* stream, double* outReal) + TA_RetCode TA_EXP_Clone(const TA_EXP_Stream* stream, TA_EXP_Stream** clone) + TA_RetCode TA_EXP_Close(TA_EXP_Stream* stream) + TA_RetCode TA_EXP_OutRange(const TA_EXP_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_EXP_Advance(TA_EXP_Stream* stream) + + ctypedef struct TA_FLOOR_Stream: + pass + TA_RetCode TA_FLOOR_OpenAndFill(TA_FLOOR_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_FLOOR_Open(TA_FLOOR_Stream** stream, const double* inReal, int historyLen, double* outReal) + TA_RetCode TA_FLOOR_Update(TA_FLOOR_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_FLOOR_Peek(const TA_FLOOR_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_FLOOR_Value(const TA_FLOOR_Stream* stream, double* outReal) + TA_RetCode TA_FLOOR_Clone(const TA_FLOOR_Stream* stream, TA_FLOOR_Stream** clone) + TA_RetCode TA_FLOOR_Close(TA_FLOOR_Stream* stream) + TA_RetCode TA_FLOOR_OutRange(const TA_FLOOR_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_FLOOR_Advance(TA_FLOOR_Stream* stream) + + ctypedef struct TA_FOSC_Stream: + pass + TA_RetCode TA_FOSC_OpenAndFill(TA_FOSC_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_FOSC_Open(TA_FOSC_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_FOSC_Update(TA_FOSC_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_FOSC_Peek(const TA_FOSC_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_FOSC_Value(const TA_FOSC_Stream* stream, double* outReal) + TA_RetCode TA_FOSC_Clone(const TA_FOSC_Stream* stream, TA_FOSC_Stream** clone) + TA_RetCode TA_FOSC_Close(TA_FOSC_Stream* stream) + TA_RetCode TA_FOSC_OutRange(const TA_FOSC_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_FOSC_Advance(TA_FOSC_Stream* stream) + + ctypedef struct TA_FRACTAL_Stream: + pass + TA_RetCode TA_FRACTAL_OpenAndFill(TA_FRACTAL_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInLeftBars, int optInRightBars, int* outBegIdx, int* outNBElement, int* outSwingHigh, int* outSwingLow) + TA_RetCode TA_FRACTAL_Open(TA_FRACTAL_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInLeftBars, int optInRightBars, int* outSwingHigh, int* outSwingLow) + TA_RetCode TA_FRACTAL_Update(TA_FRACTAL_Stream* stream, double inHigh, double inLow, int* outSwingHigh, int* outSwingLow) + TA_RetCode TA_FRACTAL_Peek(const TA_FRACTAL_Stream* stream, double inHigh, double inLow, int* outSwingHigh, int* outSwingLow) + TA_RetCode TA_FRACTAL_Value(const TA_FRACTAL_Stream* stream, int* outSwingHigh, int* outSwingLow) + TA_RetCode TA_FRACTAL_Clone(const TA_FRACTAL_Stream* stream, TA_FRACTAL_Stream** clone) + TA_RetCode TA_FRACTAL_Close(TA_FRACTAL_Stream* stream) + TA_RetCode TA_FRACTAL_OutRange(const TA_FRACTAL_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_FRACTAL_Advance(TA_FRACTAL_Stream* stream) + + ctypedef struct TA_HA_Stream: + pass + TA_RetCode TA_HA_OpenAndFill(TA_HA_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, double* outHAOpen, double* outHAHigh, double* outHALow, double* outHAClose) + TA_RetCode TA_HA_Open(TA_HA_Stream** stream, const double* inOpen, const double* inHigh, const double* inLow, const double* inClose, int historyLen, double* outHAOpen, double* outHAHigh, double* outHALow, double* outHAClose) + TA_RetCode TA_HA_Update(TA_HA_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, double* outHAOpen, double* outHAHigh, double* outHALow, double* outHAClose) + TA_RetCode TA_HA_Peek(const TA_HA_Stream* stream, double inOpen, double inHigh, double inLow, double inClose, double* outHAOpen, double* outHAHigh, double* outHALow, double* outHAClose) + TA_RetCode TA_HA_Value(const TA_HA_Stream* stream, double* outHAOpen, double* outHAHigh, double* outHALow, double* outHAClose) + TA_RetCode TA_HA_Clone(const TA_HA_Stream* stream, TA_HA_Stream** clone) + TA_RetCode TA_HA_Close(TA_HA_Stream* stream) + TA_RetCode TA_HA_OutRange(const TA_HA_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_HA_Advance(TA_HA_Stream* stream) + + ctypedef struct TA_HMA_Stream: + pass + TA_RetCode TA_HMA_OpenAndFill(TA_HMA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_HMA_Open(TA_HMA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_HMA_Update(TA_HMA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_HMA_Peek(const TA_HMA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_HMA_Value(const TA_HMA_Stream* stream, double* outReal) + TA_RetCode TA_HMA_Clone(const TA_HMA_Stream* stream, TA_HMA_Stream** clone) + TA_RetCode TA_HMA_Close(TA_HMA_Stream* stream) + TA_RetCode TA_HMA_OutRange(const TA_HMA_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_HMA_Advance(TA_HMA_Stream* stream) + + ctypedef struct TA_HT_DCPERIOD_Stream: + pass + TA_RetCode TA_HT_DCPERIOD_OpenAndFill(TA_HT_DCPERIOD_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_HT_DCPERIOD_Open(TA_HT_DCPERIOD_Stream** stream, const double* inReal, int historyLen, double* outReal) + TA_RetCode TA_HT_DCPERIOD_Update(TA_HT_DCPERIOD_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_HT_DCPERIOD_Peek(const TA_HT_DCPERIOD_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_HT_DCPERIOD_Value(const TA_HT_DCPERIOD_Stream* stream, double* outReal) + TA_RetCode TA_HT_DCPERIOD_Clone(const TA_HT_DCPERIOD_Stream* stream, TA_HT_DCPERIOD_Stream** clone) + TA_RetCode TA_HT_DCPERIOD_Close(TA_HT_DCPERIOD_Stream* stream) + TA_RetCode TA_HT_DCPERIOD_OutRange(const TA_HT_DCPERIOD_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_HT_DCPERIOD_Advance(TA_HT_DCPERIOD_Stream* stream) + + ctypedef struct TA_HT_DCPHASE_Stream: + pass + TA_RetCode TA_HT_DCPHASE_OpenAndFill(TA_HT_DCPHASE_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_HT_DCPHASE_Open(TA_HT_DCPHASE_Stream** stream, const double* inReal, int historyLen, double* outReal) + TA_RetCode TA_HT_DCPHASE_Update(TA_HT_DCPHASE_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_HT_DCPHASE_Peek(const TA_HT_DCPHASE_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_HT_DCPHASE_Value(const TA_HT_DCPHASE_Stream* stream, double* outReal) + TA_RetCode TA_HT_DCPHASE_Clone(const TA_HT_DCPHASE_Stream* stream, TA_HT_DCPHASE_Stream** clone) + TA_RetCode TA_HT_DCPHASE_Close(TA_HT_DCPHASE_Stream* stream) + TA_RetCode TA_HT_DCPHASE_OutRange(const TA_HT_DCPHASE_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_HT_DCPHASE_Advance(TA_HT_DCPHASE_Stream* stream) + + ctypedef struct TA_HT_PHASOR_Stream: + pass + TA_RetCode TA_HT_PHASOR_OpenAndFill(TA_HT_PHASOR_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, double* outInPhase, double* outQuadrature) + TA_RetCode TA_HT_PHASOR_Open(TA_HT_PHASOR_Stream** stream, const double* inReal, int historyLen, double* outInPhase, double* outQuadrature) + TA_RetCode TA_HT_PHASOR_Update(TA_HT_PHASOR_Stream* stream, double inReal, double* outInPhase, double* outQuadrature) + TA_RetCode TA_HT_PHASOR_Peek(const TA_HT_PHASOR_Stream* stream, double inReal, double* outInPhase, double* outQuadrature) + TA_RetCode TA_HT_PHASOR_Value(const TA_HT_PHASOR_Stream* stream, double* outInPhase, double* outQuadrature) + TA_RetCode TA_HT_PHASOR_Clone(const TA_HT_PHASOR_Stream* stream, TA_HT_PHASOR_Stream** clone) + TA_RetCode TA_HT_PHASOR_Close(TA_HT_PHASOR_Stream* stream) + TA_RetCode TA_HT_PHASOR_OutRange(const TA_HT_PHASOR_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_HT_PHASOR_Advance(TA_HT_PHASOR_Stream* stream) + + ctypedef struct TA_HT_SINE_Stream: + pass + TA_RetCode TA_HT_SINE_OpenAndFill(TA_HT_SINE_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, double* outSine, double* outLeadSine) + TA_RetCode TA_HT_SINE_Open(TA_HT_SINE_Stream** stream, const double* inReal, int historyLen, double* outSine, double* outLeadSine) + TA_RetCode TA_HT_SINE_Update(TA_HT_SINE_Stream* stream, double inReal, double* outSine, double* outLeadSine) + TA_RetCode TA_HT_SINE_Peek(const TA_HT_SINE_Stream* stream, double inReal, double* outSine, double* outLeadSine) + TA_RetCode TA_HT_SINE_Value(const TA_HT_SINE_Stream* stream, double* outSine, double* outLeadSine) + TA_RetCode TA_HT_SINE_Clone(const TA_HT_SINE_Stream* stream, TA_HT_SINE_Stream** clone) + TA_RetCode TA_HT_SINE_Close(TA_HT_SINE_Stream* stream) + TA_RetCode TA_HT_SINE_OutRange(const TA_HT_SINE_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_HT_SINE_Advance(TA_HT_SINE_Stream* stream) + + ctypedef struct TA_HT_TRENDLINE_Stream: + pass + TA_RetCode TA_HT_TRENDLINE_OpenAndFill(TA_HT_TRENDLINE_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_HT_TRENDLINE_Open(TA_HT_TRENDLINE_Stream** stream, const double* inReal, int historyLen, double* outReal) + TA_RetCode TA_HT_TRENDLINE_Update(TA_HT_TRENDLINE_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_HT_TRENDLINE_Peek(const TA_HT_TRENDLINE_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_HT_TRENDLINE_Value(const TA_HT_TRENDLINE_Stream* stream, double* outReal) + TA_RetCode TA_HT_TRENDLINE_Clone(const TA_HT_TRENDLINE_Stream* stream, TA_HT_TRENDLINE_Stream** clone) + TA_RetCode TA_HT_TRENDLINE_Close(TA_HT_TRENDLINE_Stream* stream) + TA_RetCode TA_HT_TRENDLINE_OutRange(const TA_HT_TRENDLINE_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_HT_TRENDLINE_Advance(TA_HT_TRENDLINE_Stream* stream) + + ctypedef struct TA_HT_TRENDMODE_Stream: + pass + TA_RetCode TA_HT_TRENDMODE_OpenAndFill(TA_HT_TRENDMODE_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_HT_TRENDMODE_Open(TA_HT_TRENDMODE_Stream** stream, const double* inReal, int historyLen, int* outInteger) + TA_RetCode TA_HT_TRENDMODE_Update(TA_HT_TRENDMODE_Stream* stream, double inReal, int* outInteger) + TA_RetCode TA_HT_TRENDMODE_Peek(const TA_HT_TRENDMODE_Stream* stream, double inReal, int* outInteger) + TA_RetCode TA_HT_TRENDMODE_Value(const TA_HT_TRENDMODE_Stream* stream, int* outInteger) + TA_RetCode TA_HT_TRENDMODE_Clone(const TA_HT_TRENDMODE_Stream* stream, TA_HT_TRENDMODE_Stream** clone) + TA_RetCode TA_HT_TRENDMODE_Close(TA_HT_TRENDMODE_Stream* stream) + TA_RetCode TA_HT_TRENDMODE_OutRange(const TA_HT_TRENDMODE_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_HT_TRENDMODE_Advance(TA_HT_TRENDMODE_Stream* stream) + + ctypedef struct TA_IMI_Stream: + pass + TA_RetCode TA_IMI_OpenAndFill(TA_IMI_Stream** stream, const double* inOpen, const double* inClose, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_IMI_Open(TA_IMI_Stream** stream, const double* inOpen, const double* inClose, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_IMI_Update(TA_IMI_Stream* stream, double inOpen, double inClose, double* outReal) + TA_RetCode TA_IMI_Peek(const TA_IMI_Stream* stream, double inOpen, double inClose, double* outReal) + TA_RetCode TA_IMI_Value(const TA_IMI_Stream* stream, double* outReal) + TA_RetCode TA_IMI_Clone(const TA_IMI_Stream* stream, TA_IMI_Stream** clone) + TA_RetCode TA_IMI_Close(TA_IMI_Stream* stream) + TA_RetCode TA_IMI_OutRange(const TA_IMI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_IMI_Advance(TA_IMI_Stream* stream) + + ctypedef struct TA_KAMA_Stream: + pass + TA_RetCode TA_KAMA_OpenAndFill(TA_KAMA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_KAMA_Open(TA_KAMA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_KAMA_Update(TA_KAMA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_KAMA_Peek(const TA_KAMA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_KAMA_Value(const TA_KAMA_Stream* stream, double* outReal) + TA_RetCode TA_KAMA_Clone(const TA_KAMA_Stream* stream, TA_KAMA_Stream** clone) + TA_RetCode TA_KAMA_Close(TA_KAMA_Stream* stream) + TA_RetCode TA_KAMA_OutRange(const TA_KAMA_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_KAMA_Advance(TA_KAMA_Stream* stream) + + ctypedef struct TA_KC_Stream: + pass + TA_RetCode TA_KC_OpenAndFill(TA_KC_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, int optInATRPeriod, double optInNbDev, int* outBegIdx, int* outNBElement, double* outRealUpperBand, double* outRealMiddleBand, double* outRealLowerBand) + TA_RetCode TA_KC_Open(TA_KC_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, int optInATRPeriod, double optInNbDev, double* outRealUpperBand, double* outRealMiddleBand, double* outRealLowerBand) + TA_RetCode TA_KC_Update(TA_KC_Stream* stream, double inHigh, double inLow, double inClose, double* outRealUpperBand, double* outRealMiddleBand, double* outRealLowerBand) + TA_RetCode TA_KC_Peek(const TA_KC_Stream* stream, double inHigh, double inLow, double inClose, double* outRealUpperBand, double* outRealMiddleBand, double* outRealLowerBand) + TA_RetCode TA_KC_Value(const TA_KC_Stream* stream, double* outRealUpperBand, double* outRealMiddleBand, double* outRealLowerBand) + TA_RetCode TA_KC_Clone(const TA_KC_Stream* stream, TA_KC_Stream** clone) + TA_RetCode TA_KC_Close(TA_KC_Stream* stream) + TA_RetCode TA_KC_OutRange(const TA_KC_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_KC_Advance(TA_KC_Stream* stream) + + ctypedef struct TA_KDJ_Stream: + pass + TA_RetCode TA_KDJ_OpenAndFill(TA_KDJ_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInFastK_Period, int optInSlowK_Period, TA_MAType optInSlowK_MAType, int optInSlowD_Period, TA_MAType optInSlowD_MAType, int* outBegIdx, int* outNBElement, double* outK, double* outD, double* outJ) + TA_RetCode TA_KDJ_Open(TA_KDJ_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInFastK_Period, int optInSlowK_Period, TA_MAType optInSlowK_MAType, int optInSlowD_Period, TA_MAType optInSlowD_MAType, double* outK, double* outD, double* outJ) + TA_RetCode TA_KDJ_Update(TA_KDJ_Stream* stream, double inHigh, double inLow, double inClose, double* outK, double* outD, double* outJ) + TA_RetCode TA_KDJ_Peek(const TA_KDJ_Stream* stream, double inHigh, double inLow, double inClose, double* outK, double* outD, double* outJ) + TA_RetCode TA_KDJ_Value(const TA_KDJ_Stream* stream, double* outK, double* outD, double* outJ) + TA_RetCode TA_KDJ_Clone(const TA_KDJ_Stream* stream, TA_KDJ_Stream** clone) + TA_RetCode TA_KDJ_Close(TA_KDJ_Stream* stream) + TA_RetCode TA_KDJ_OutRange(const TA_KDJ_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_KDJ_Advance(TA_KDJ_Stream* stream) + + ctypedef struct TA_LINEARREG_Stream: + pass + TA_RetCode TA_LINEARREG_OpenAndFill(TA_LINEARREG_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_LINEARREG_Open(TA_LINEARREG_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_LINEARREG_Update(TA_LINEARREG_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_LINEARREG_Peek(const TA_LINEARREG_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_LINEARREG_Value(const TA_LINEARREG_Stream* stream, double* outReal) + TA_RetCode TA_LINEARREG_Clone(const TA_LINEARREG_Stream* stream, TA_LINEARREG_Stream** clone) + TA_RetCode TA_LINEARREG_Close(TA_LINEARREG_Stream* stream) + TA_RetCode TA_LINEARREG_OutRange(const TA_LINEARREG_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_LINEARREG_Advance(TA_LINEARREG_Stream* stream) + + ctypedef struct TA_LINEARREG_ANGLE_Stream: + pass + TA_RetCode TA_LINEARREG_ANGLE_OpenAndFill(TA_LINEARREG_ANGLE_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_LINEARREG_ANGLE_Open(TA_LINEARREG_ANGLE_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_LINEARREG_ANGLE_Update(TA_LINEARREG_ANGLE_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_LINEARREG_ANGLE_Peek(const TA_LINEARREG_ANGLE_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_LINEARREG_ANGLE_Value(const TA_LINEARREG_ANGLE_Stream* stream, double* outReal) + TA_RetCode TA_LINEARREG_ANGLE_Clone(const TA_LINEARREG_ANGLE_Stream* stream, TA_LINEARREG_ANGLE_Stream** clone) + TA_RetCode TA_LINEARREG_ANGLE_Close(TA_LINEARREG_ANGLE_Stream* stream) + TA_RetCode TA_LINEARREG_ANGLE_OutRange(const TA_LINEARREG_ANGLE_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_LINEARREG_ANGLE_Advance(TA_LINEARREG_ANGLE_Stream* stream) + + ctypedef struct TA_LINEARREG_INTERCEPT_Stream: + pass + TA_RetCode TA_LINEARREG_INTERCEPT_OpenAndFill(TA_LINEARREG_INTERCEPT_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_LINEARREG_INTERCEPT_Open(TA_LINEARREG_INTERCEPT_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_LINEARREG_INTERCEPT_Update(TA_LINEARREG_INTERCEPT_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_LINEARREG_INTERCEPT_Peek(const TA_LINEARREG_INTERCEPT_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_LINEARREG_INTERCEPT_Value(const TA_LINEARREG_INTERCEPT_Stream* stream, double* outReal) + TA_RetCode TA_LINEARREG_INTERCEPT_Clone(const TA_LINEARREG_INTERCEPT_Stream* stream, TA_LINEARREG_INTERCEPT_Stream** clone) + TA_RetCode TA_LINEARREG_INTERCEPT_Close(TA_LINEARREG_INTERCEPT_Stream* stream) + TA_RetCode TA_LINEARREG_INTERCEPT_OutRange(const TA_LINEARREG_INTERCEPT_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_LINEARREG_INTERCEPT_Advance(TA_LINEARREG_INTERCEPT_Stream* stream) + + ctypedef struct TA_LINEARREG_SLOPE_Stream: + pass + TA_RetCode TA_LINEARREG_SLOPE_OpenAndFill(TA_LINEARREG_SLOPE_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_LINEARREG_SLOPE_Open(TA_LINEARREG_SLOPE_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_LINEARREG_SLOPE_Update(TA_LINEARREG_SLOPE_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_LINEARREG_SLOPE_Peek(const TA_LINEARREG_SLOPE_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_LINEARREG_SLOPE_Value(const TA_LINEARREG_SLOPE_Stream* stream, double* outReal) + TA_RetCode TA_LINEARREG_SLOPE_Clone(const TA_LINEARREG_SLOPE_Stream* stream, TA_LINEARREG_SLOPE_Stream** clone) + TA_RetCode TA_LINEARREG_SLOPE_Close(TA_LINEARREG_SLOPE_Stream* stream) + TA_RetCode TA_LINEARREG_SLOPE_OutRange(const TA_LINEARREG_SLOPE_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_LINEARREG_SLOPE_Advance(TA_LINEARREG_SLOPE_Stream* stream) + + ctypedef struct TA_LN_Stream: + pass + TA_RetCode TA_LN_OpenAndFill(TA_LN_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_LN_Open(TA_LN_Stream** stream, const double* inReal, int historyLen, double* outReal) + TA_RetCode TA_LN_Update(TA_LN_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_LN_Peek(const TA_LN_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_LN_Value(const TA_LN_Stream* stream, double* outReal) + TA_RetCode TA_LN_Clone(const TA_LN_Stream* stream, TA_LN_Stream** clone) + TA_RetCode TA_LN_Close(TA_LN_Stream* stream) + TA_RetCode TA_LN_OutRange(const TA_LN_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_LN_Advance(TA_LN_Stream* stream) + + ctypedef struct TA_LOG10_Stream: + pass + TA_RetCode TA_LOG10_OpenAndFill(TA_LOG10_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_LOG10_Open(TA_LOG10_Stream** stream, const double* inReal, int historyLen, double* outReal) + TA_RetCode TA_LOG10_Update(TA_LOG10_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_LOG10_Peek(const TA_LOG10_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_LOG10_Value(const TA_LOG10_Stream* stream, double* outReal) + TA_RetCode TA_LOG10_Clone(const TA_LOG10_Stream* stream, TA_LOG10_Stream** clone) + TA_RetCode TA_LOG10_Close(TA_LOG10_Stream* stream) + TA_RetCode TA_LOG10_OutRange(const TA_LOG10_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_LOG10_Advance(TA_LOG10_Stream* stream) + + ctypedef struct TA_MA_Stream: + pass + TA_RetCode TA_MA_OpenAndFill(TA_MA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, TA_MAType optInMAType, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_MA_Open(TA_MA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, TA_MAType optInMAType, double* outReal) + TA_RetCode TA_MA_Update(TA_MA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_MA_Peek(const TA_MA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_MA_Value(const TA_MA_Stream* stream, double* outReal) + TA_RetCode TA_MA_Clone(const TA_MA_Stream* stream, TA_MA_Stream** clone) + TA_RetCode TA_MA_Close(TA_MA_Stream* stream) + TA_RetCode TA_MA_OutRange(const TA_MA_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MA_Advance(TA_MA_Stream* stream) + + ctypedef struct TA_MACD_Stream: + pass + TA_RetCode TA_MACD_OpenAndFill(TA_MACD_Stream** stream, const double* inReal, int historyLen, int optInFastPeriod, int optInSlowPeriod, int optInSignalPeriod, int* outBegIdx, int* outNBElement, double* outMACD, double* outMACDSignal, double* outMACDHist) + TA_RetCode TA_MACD_Open(TA_MACD_Stream** stream, const double* inReal, int historyLen, int optInFastPeriod, int optInSlowPeriod, int optInSignalPeriod, double* outMACD, double* outMACDSignal, double* outMACDHist) + TA_RetCode TA_MACD_Update(TA_MACD_Stream* stream, double inReal, double* outMACD, double* outMACDSignal, double* outMACDHist) + TA_RetCode TA_MACD_Peek(const TA_MACD_Stream* stream, double inReal, double* outMACD, double* outMACDSignal, double* outMACDHist) + TA_RetCode TA_MACD_Value(const TA_MACD_Stream* stream, double* outMACD, double* outMACDSignal, double* outMACDHist) + TA_RetCode TA_MACD_Clone(const TA_MACD_Stream* stream, TA_MACD_Stream** clone) + TA_RetCode TA_MACD_Close(TA_MACD_Stream* stream) + TA_RetCode TA_MACD_OutRange(const TA_MACD_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MACD_Advance(TA_MACD_Stream* stream) + + ctypedef struct TA_MACDEXT_Stream: + pass + TA_RetCode TA_MACDEXT_OpenAndFill(TA_MACDEXT_Stream** stream, const double* inReal, int historyLen, int optInFastPeriod, TA_MAType optInFastMAType, int optInSlowPeriod, TA_MAType optInSlowMAType, int optInSignalPeriod, TA_MAType optInSignalMAType, int* outBegIdx, int* outNBElement, double* outMACD, double* outMACDSignal, double* outMACDHist) + TA_RetCode TA_MACDEXT_Open(TA_MACDEXT_Stream** stream, const double* inReal, int historyLen, int optInFastPeriod, TA_MAType optInFastMAType, int optInSlowPeriod, TA_MAType optInSlowMAType, int optInSignalPeriod, TA_MAType optInSignalMAType, double* outMACD, double* outMACDSignal, double* outMACDHist) + TA_RetCode TA_MACDEXT_Update(TA_MACDEXT_Stream* stream, double inReal, double* outMACD, double* outMACDSignal, double* outMACDHist) + TA_RetCode TA_MACDEXT_Peek(const TA_MACDEXT_Stream* stream, double inReal, double* outMACD, double* outMACDSignal, double* outMACDHist) + TA_RetCode TA_MACDEXT_Value(const TA_MACDEXT_Stream* stream, double* outMACD, double* outMACDSignal, double* outMACDHist) + TA_RetCode TA_MACDEXT_Clone(const TA_MACDEXT_Stream* stream, TA_MACDEXT_Stream** clone) + TA_RetCode TA_MACDEXT_Close(TA_MACDEXT_Stream* stream) + TA_RetCode TA_MACDEXT_OutRange(const TA_MACDEXT_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MACDEXT_Advance(TA_MACDEXT_Stream* stream) + + ctypedef struct TA_MACDFIX_Stream: + pass + TA_RetCode TA_MACDFIX_OpenAndFill(TA_MACDFIX_Stream** stream, const double* inReal, int historyLen, int optInSignalPeriod, int* outBegIdx, int* outNBElement, double* outMACD, double* outMACDSignal, double* outMACDHist) + TA_RetCode TA_MACDFIX_Open(TA_MACDFIX_Stream** stream, const double* inReal, int historyLen, int optInSignalPeriod, double* outMACD, double* outMACDSignal, double* outMACDHist) + TA_RetCode TA_MACDFIX_Update(TA_MACDFIX_Stream* stream, double inReal, double* outMACD, double* outMACDSignal, double* outMACDHist) + TA_RetCode TA_MACDFIX_Peek(const TA_MACDFIX_Stream* stream, double inReal, double* outMACD, double* outMACDSignal, double* outMACDHist) + TA_RetCode TA_MACDFIX_Value(const TA_MACDFIX_Stream* stream, double* outMACD, double* outMACDSignal, double* outMACDHist) + TA_RetCode TA_MACDFIX_Clone(const TA_MACDFIX_Stream* stream, TA_MACDFIX_Stream** clone) + TA_RetCode TA_MACDFIX_Close(TA_MACDFIX_Stream* stream) + TA_RetCode TA_MACDFIX_OutRange(const TA_MACDFIX_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MACDFIX_Advance(TA_MACDFIX_Stream* stream) + + ctypedef struct TA_MAMA_Stream: + pass + TA_RetCode TA_MAMA_OpenAndFill(TA_MAMA_Stream** stream, const double* inReal, int historyLen, double optInFastLimit, double optInSlowLimit, int* outBegIdx, int* outNBElement, double* outMAMA, double* outFAMA) + TA_RetCode TA_MAMA_Open(TA_MAMA_Stream** stream, const double* inReal, int historyLen, double optInFastLimit, double optInSlowLimit, double* outMAMA, double* outFAMA) + TA_RetCode TA_MAMA_Update(TA_MAMA_Stream* stream, double inReal, double* outMAMA, double* outFAMA) + TA_RetCode TA_MAMA_Peek(const TA_MAMA_Stream* stream, double inReal, double* outMAMA, double* outFAMA) + TA_RetCode TA_MAMA_Value(const TA_MAMA_Stream* stream, double* outMAMA, double* outFAMA) + TA_RetCode TA_MAMA_Clone(const TA_MAMA_Stream* stream, TA_MAMA_Stream** clone) + TA_RetCode TA_MAMA_Close(TA_MAMA_Stream* stream) + TA_RetCode TA_MAMA_OutRange(const TA_MAMA_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MAMA_Advance(TA_MAMA_Stream* stream) + + ctypedef struct TA_MARKETFI_Stream: + pass + TA_RetCode TA_MARKETFI_OpenAndFill(TA_MARKETFI_Stream** stream, const double* inHigh, const double* inLow, const double* inVolume, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_MARKETFI_Open(TA_MARKETFI_Stream** stream, const double* inHigh, const double* inLow, const double* inVolume, int historyLen, double* outReal) + TA_RetCode TA_MARKETFI_Update(TA_MARKETFI_Stream* stream, double inHigh, double inLow, double inVolume, double* outReal) + TA_RetCode TA_MARKETFI_Peek(const TA_MARKETFI_Stream* stream, double inHigh, double inLow, double inVolume, double* outReal) + TA_RetCode TA_MARKETFI_Value(const TA_MARKETFI_Stream* stream, double* outReal) + TA_RetCode TA_MARKETFI_Clone(const TA_MARKETFI_Stream* stream, TA_MARKETFI_Stream** clone) + TA_RetCode TA_MARKETFI_Close(TA_MARKETFI_Stream* stream) + TA_RetCode TA_MARKETFI_OutRange(const TA_MARKETFI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MARKETFI_Advance(TA_MARKETFI_Stream* stream) + + ctypedef struct TA_MASSI_Stream: + pass + TA_RetCode TA_MASSI_OpenAndFill(TA_MASSI_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInFastPeriod, int optInSlowPeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_MASSI_Open(TA_MASSI_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInFastPeriod, int optInSlowPeriod, double* outReal) + TA_RetCode TA_MASSI_Update(TA_MASSI_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_MASSI_Peek(const TA_MASSI_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_MASSI_Value(const TA_MASSI_Stream* stream, double* outReal) + TA_RetCode TA_MASSI_Clone(const TA_MASSI_Stream* stream, TA_MASSI_Stream** clone) + TA_RetCode TA_MASSI_Close(TA_MASSI_Stream* stream) + TA_RetCode TA_MASSI_OutRange(const TA_MASSI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MASSI_Advance(TA_MASSI_Stream* stream) + + ctypedef struct TA_MAVP_Stream: + pass + TA_RetCode TA_MAVP_OpenAndFill(TA_MAVP_Stream** stream, const double* inReal, const double* inPeriods, int historyLen, int optInMinPeriod, int optInMaxPeriod, TA_MAType optInMAType, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_MAVP_Open(TA_MAVP_Stream** stream, const double* inReal, const double* inPeriods, int historyLen, int optInMinPeriod, int optInMaxPeriod, TA_MAType optInMAType, double* outReal) + TA_RetCode TA_MAVP_Update(TA_MAVP_Stream* stream, double inReal, double inPeriods, double* outReal) + TA_RetCode TA_MAVP_Peek(const TA_MAVP_Stream* stream, double inReal, double inPeriods, double* outReal) + TA_RetCode TA_MAVP_Value(const TA_MAVP_Stream* stream, double* outReal) + TA_RetCode TA_MAVP_Clone(const TA_MAVP_Stream* stream, TA_MAVP_Stream** clone) + TA_RetCode TA_MAVP_Close(TA_MAVP_Stream* stream) + TA_RetCode TA_MAVP_OutRange(const TA_MAVP_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MAVP_Advance(TA_MAVP_Stream* stream) + + ctypedef struct TA_MAX_Stream: + pass + TA_RetCode TA_MAX_OpenAndFill(TA_MAX_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_MAX_Open(TA_MAX_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_MAX_Update(TA_MAX_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_MAX_Peek(const TA_MAX_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_MAX_Value(const TA_MAX_Stream* stream, double* outReal) + TA_RetCode TA_MAX_Clone(const TA_MAX_Stream* stream, TA_MAX_Stream** clone) + TA_RetCode TA_MAX_Close(TA_MAX_Stream* stream) + TA_RetCode TA_MAX_OutRange(const TA_MAX_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MAX_Advance(TA_MAX_Stream* stream) + + ctypedef struct TA_MAXINDEX_Stream: + pass + TA_RetCode TA_MAXINDEX_OpenAndFill(TA_MAXINDEX_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_MAXINDEX_Open(TA_MAXINDEX_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outInteger) + TA_RetCode TA_MAXINDEX_Update(TA_MAXINDEX_Stream* stream, double inReal, int* outInteger) + TA_RetCode TA_MAXINDEX_Peek(const TA_MAXINDEX_Stream* stream, double inReal, int* outInteger) + TA_RetCode TA_MAXINDEX_Value(const TA_MAXINDEX_Stream* stream, int* outInteger) + TA_RetCode TA_MAXINDEX_Clone(const TA_MAXINDEX_Stream* stream, TA_MAXINDEX_Stream** clone) + TA_RetCode TA_MAXINDEX_Close(TA_MAXINDEX_Stream* stream) + TA_RetCode TA_MAXINDEX_OutRange(const TA_MAXINDEX_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MAXINDEX_Advance(TA_MAXINDEX_Stream* stream) + + ctypedef struct TA_MEDPRICE_Stream: + pass + TA_RetCode TA_MEDPRICE_OpenAndFill(TA_MEDPRICE_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_MEDPRICE_Open(TA_MEDPRICE_Stream** stream, const double* inHigh, const double* inLow, int historyLen, double* outReal) + TA_RetCode TA_MEDPRICE_Update(TA_MEDPRICE_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_MEDPRICE_Peek(const TA_MEDPRICE_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_MEDPRICE_Value(const TA_MEDPRICE_Stream* stream, double* outReal) + TA_RetCode TA_MEDPRICE_Clone(const TA_MEDPRICE_Stream* stream, TA_MEDPRICE_Stream** clone) + TA_RetCode TA_MEDPRICE_Close(TA_MEDPRICE_Stream* stream) + TA_RetCode TA_MEDPRICE_OutRange(const TA_MEDPRICE_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MEDPRICE_Advance(TA_MEDPRICE_Stream* stream) + + ctypedef struct TA_MFI_Stream: + pass + TA_RetCode TA_MFI_OpenAndFill(TA_MFI_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, const double* inVolume, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_MFI_Open(TA_MFI_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, const double* inVolume, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_MFI_Update(TA_MFI_Stream* stream, double inHigh, double inLow, double inClose, double inVolume, double* outReal) + TA_RetCode TA_MFI_Peek(const TA_MFI_Stream* stream, double inHigh, double inLow, double inClose, double inVolume, double* outReal) + TA_RetCode TA_MFI_Value(const TA_MFI_Stream* stream, double* outReal) + TA_RetCode TA_MFI_Clone(const TA_MFI_Stream* stream, TA_MFI_Stream** clone) + TA_RetCode TA_MFI_Close(TA_MFI_Stream* stream) + TA_RetCode TA_MFI_OutRange(const TA_MFI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MFI_Advance(TA_MFI_Stream* stream) + + ctypedef struct TA_MIDPOINT_Stream: + pass + TA_RetCode TA_MIDPOINT_OpenAndFill(TA_MIDPOINT_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_MIDPOINT_Open(TA_MIDPOINT_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_MIDPOINT_Update(TA_MIDPOINT_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_MIDPOINT_Peek(const TA_MIDPOINT_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_MIDPOINT_Value(const TA_MIDPOINT_Stream* stream, double* outReal) + TA_RetCode TA_MIDPOINT_Clone(const TA_MIDPOINT_Stream* stream, TA_MIDPOINT_Stream** clone) + TA_RetCode TA_MIDPOINT_Close(TA_MIDPOINT_Stream* stream) + TA_RetCode TA_MIDPOINT_OutRange(const TA_MIDPOINT_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MIDPOINT_Advance(TA_MIDPOINT_Stream* stream) + + ctypedef struct TA_MIDPRICE_Stream: + pass + TA_RetCode TA_MIDPRICE_OpenAndFill(TA_MIDPRICE_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_MIDPRICE_Open(TA_MIDPRICE_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_MIDPRICE_Update(TA_MIDPRICE_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_MIDPRICE_Peek(const TA_MIDPRICE_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_MIDPRICE_Value(const TA_MIDPRICE_Stream* stream, double* outReal) + TA_RetCode TA_MIDPRICE_Clone(const TA_MIDPRICE_Stream* stream, TA_MIDPRICE_Stream** clone) + TA_RetCode TA_MIDPRICE_Close(TA_MIDPRICE_Stream* stream) + TA_RetCode TA_MIDPRICE_OutRange(const TA_MIDPRICE_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MIDPRICE_Advance(TA_MIDPRICE_Stream* stream) + + ctypedef struct TA_MIN_Stream: + pass + TA_RetCode TA_MIN_OpenAndFill(TA_MIN_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_MIN_Open(TA_MIN_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_MIN_Update(TA_MIN_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_MIN_Peek(const TA_MIN_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_MIN_Value(const TA_MIN_Stream* stream, double* outReal) + TA_RetCode TA_MIN_Clone(const TA_MIN_Stream* stream, TA_MIN_Stream** clone) + TA_RetCode TA_MIN_Close(TA_MIN_Stream* stream) + TA_RetCode TA_MIN_OutRange(const TA_MIN_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MIN_Advance(TA_MIN_Stream* stream) + + ctypedef struct TA_MININDEX_Stream: + pass + TA_RetCode TA_MININDEX_OpenAndFill(TA_MININDEX_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, int* outInteger) + TA_RetCode TA_MININDEX_Open(TA_MININDEX_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outInteger) + TA_RetCode TA_MININDEX_Update(TA_MININDEX_Stream* stream, double inReal, int* outInteger) + TA_RetCode TA_MININDEX_Peek(const TA_MININDEX_Stream* stream, double inReal, int* outInteger) + TA_RetCode TA_MININDEX_Value(const TA_MININDEX_Stream* stream, int* outInteger) + TA_RetCode TA_MININDEX_Clone(const TA_MININDEX_Stream* stream, TA_MININDEX_Stream** clone) + TA_RetCode TA_MININDEX_Close(TA_MININDEX_Stream* stream) + TA_RetCode TA_MININDEX_OutRange(const TA_MININDEX_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MININDEX_Advance(TA_MININDEX_Stream* stream) + + ctypedef struct TA_MINMAX_Stream: + pass + TA_RetCode TA_MINMAX_OpenAndFill(TA_MINMAX_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outMin, double* outMax) + TA_RetCode TA_MINMAX_Open(TA_MINMAX_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outMin, double* outMax) + TA_RetCode TA_MINMAX_Update(TA_MINMAX_Stream* stream, double inReal, double* outMin, double* outMax) + TA_RetCode TA_MINMAX_Peek(const TA_MINMAX_Stream* stream, double inReal, double* outMin, double* outMax) + TA_RetCode TA_MINMAX_Value(const TA_MINMAX_Stream* stream, double* outMin, double* outMax) + TA_RetCode TA_MINMAX_Clone(const TA_MINMAX_Stream* stream, TA_MINMAX_Stream** clone) + TA_RetCode TA_MINMAX_Close(TA_MINMAX_Stream* stream) + TA_RetCode TA_MINMAX_OutRange(const TA_MINMAX_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MINMAX_Advance(TA_MINMAX_Stream* stream) + + ctypedef struct TA_MINMAXINDEX_Stream: + pass + TA_RetCode TA_MINMAXINDEX_OpenAndFill(TA_MINMAXINDEX_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, int* outMinIdx, int* outMaxIdx) + TA_RetCode TA_MINMAXINDEX_Open(TA_MINMAXINDEX_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outMinIdx, int* outMaxIdx) + TA_RetCode TA_MINMAXINDEX_Update(TA_MINMAXINDEX_Stream* stream, double inReal, int* outMinIdx, int* outMaxIdx) + TA_RetCode TA_MINMAXINDEX_Peek(const TA_MINMAXINDEX_Stream* stream, double inReal, int* outMinIdx, int* outMaxIdx) + TA_RetCode TA_MINMAXINDEX_Value(const TA_MINMAXINDEX_Stream* stream, int* outMinIdx, int* outMaxIdx) + TA_RetCode TA_MINMAXINDEX_Clone(const TA_MINMAXINDEX_Stream* stream, TA_MINMAXINDEX_Stream** clone) + TA_RetCode TA_MINMAXINDEX_Close(TA_MINMAXINDEX_Stream* stream) + TA_RetCode TA_MINMAXINDEX_OutRange(const TA_MINMAXINDEX_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MINMAXINDEX_Advance(TA_MINMAXINDEX_Stream* stream) + + ctypedef struct TA_MINUS_DI_Stream: + pass + TA_RetCode TA_MINUS_DI_OpenAndFill(TA_MINUS_DI_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_MINUS_DI_Open(TA_MINUS_DI_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_MINUS_DI_Update(TA_MINUS_DI_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_MINUS_DI_Peek(const TA_MINUS_DI_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_MINUS_DI_Value(const TA_MINUS_DI_Stream* stream, double* outReal) + TA_RetCode TA_MINUS_DI_Clone(const TA_MINUS_DI_Stream* stream, TA_MINUS_DI_Stream** clone) + TA_RetCode TA_MINUS_DI_Close(TA_MINUS_DI_Stream* stream) + TA_RetCode TA_MINUS_DI_OutRange(const TA_MINUS_DI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MINUS_DI_Advance(TA_MINUS_DI_Stream* stream) + + ctypedef struct TA_MINUS_DM_Stream: + pass + TA_RetCode TA_MINUS_DM_OpenAndFill(TA_MINUS_DM_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_MINUS_DM_Open(TA_MINUS_DM_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_MINUS_DM_Update(TA_MINUS_DM_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_MINUS_DM_Peek(const TA_MINUS_DM_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_MINUS_DM_Value(const TA_MINUS_DM_Stream* stream, double* outReal) + TA_RetCode TA_MINUS_DM_Clone(const TA_MINUS_DM_Stream* stream, TA_MINUS_DM_Stream** clone) + TA_RetCode TA_MINUS_DM_Close(TA_MINUS_DM_Stream* stream) + TA_RetCode TA_MINUS_DM_OutRange(const TA_MINUS_DM_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MINUS_DM_Advance(TA_MINUS_DM_Stream* stream) + + ctypedef struct TA_MOM_Stream: + pass + TA_RetCode TA_MOM_OpenAndFill(TA_MOM_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_MOM_Open(TA_MOM_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_MOM_Update(TA_MOM_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_MOM_Peek(const TA_MOM_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_MOM_Value(const TA_MOM_Stream* stream, double* outReal) + TA_RetCode TA_MOM_Clone(const TA_MOM_Stream* stream, TA_MOM_Stream** clone) + TA_RetCode TA_MOM_Close(TA_MOM_Stream* stream) + TA_RetCode TA_MOM_OutRange(const TA_MOM_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MOM_Advance(TA_MOM_Stream* stream) + + ctypedef struct TA_MULT_Stream: + pass + TA_RetCode TA_MULT_OpenAndFill(TA_MULT_Stream** stream, const double* inReal0, const double* inReal1, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_MULT_Open(TA_MULT_Stream** stream, const double* inReal0, const double* inReal1, int historyLen, double* outReal) + TA_RetCode TA_MULT_Update(TA_MULT_Stream* stream, double inReal0, double inReal1, double* outReal) + TA_RetCode TA_MULT_Peek(const TA_MULT_Stream* stream, double inReal0, double inReal1, double* outReal) + TA_RetCode TA_MULT_Value(const TA_MULT_Stream* stream, double* outReal) + TA_RetCode TA_MULT_Clone(const TA_MULT_Stream* stream, TA_MULT_Stream** clone) + TA_RetCode TA_MULT_Close(TA_MULT_Stream* stream) + TA_RetCode TA_MULT_OutRange(const TA_MULT_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_MULT_Advance(TA_MULT_Stream* stream) + + ctypedef struct TA_NATR_Stream: + pass + TA_RetCode TA_NATR_OpenAndFill(TA_NATR_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_NATR_Open(TA_NATR_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_NATR_Update(TA_NATR_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_NATR_Peek(const TA_NATR_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_NATR_Value(const TA_NATR_Stream* stream, double* outReal) + TA_RetCode TA_NATR_Clone(const TA_NATR_Stream* stream, TA_NATR_Stream** clone) + TA_RetCode TA_NATR_Close(TA_NATR_Stream* stream) + TA_RetCode TA_NATR_OutRange(const TA_NATR_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_NATR_Advance(TA_NATR_Stream* stream) + + ctypedef struct TA_NVI_Stream: + pass + TA_RetCode TA_NVI_OpenAndFill(TA_NVI_Stream** stream, const double* inClose, const double* inVolume, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_NVI_Open(TA_NVI_Stream** stream, const double* inClose, const double* inVolume, int historyLen, double* outReal) + TA_RetCode TA_NVI_Update(TA_NVI_Stream* stream, double inClose, double inVolume, double* outReal) + TA_RetCode TA_NVI_Peek(const TA_NVI_Stream* stream, double inClose, double inVolume, double* outReal) + TA_RetCode TA_NVI_Value(const TA_NVI_Stream* stream, double* outReal) + TA_RetCode TA_NVI_Clone(const TA_NVI_Stream* stream, TA_NVI_Stream** clone) + TA_RetCode TA_NVI_Close(TA_NVI_Stream* stream) + TA_RetCode TA_NVI_OutRange(const TA_NVI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_NVI_Advance(TA_NVI_Stream* stream) + + ctypedef struct TA_OBV_Stream: + pass + TA_RetCode TA_OBV_OpenAndFill(TA_OBV_Stream** stream, const double* inReal, const double* inVolume, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_OBV_Open(TA_OBV_Stream** stream, const double* inReal, const double* inVolume, int historyLen, double* outReal) + TA_RetCode TA_OBV_Update(TA_OBV_Stream* stream, double inReal, double inVolume, double* outReal) + TA_RetCode TA_OBV_Peek(const TA_OBV_Stream* stream, double inReal, double inVolume, double* outReal) + TA_RetCode TA_OBV_Value(const TA_OBV_Stream* stream, double* outReal) + TA_RetCode TA_OBV_Clone(const TA_OBV_Stream* stream, TA_OBV_Stream** clone) + TA_RetCode TA_OBV_Close(TA_OBV_Stream* stream) + TA_RetCode TA_OBV_OutRange(const TA_OBV_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_OBV_Advance(TA_OBV_Stream* stream) + + ctypedef struct TA_PERCENTILE_Stream: + pass + TA_RetCode TA_PERCENTILE_OpenAndFill(TA_PERCENTILE_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double optInPercentile, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_PERCENTILE_Open(TA_PERCENTILE_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double optInPercentile, double* outReal) + TA_RetCode TA_PERCENTILE_Update(TA_PERCENTILE_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_PERCENTILE_Peek(const TA_PERCENTILE_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_PERCENTILE_Value(const TA_PERCENTILE_Stream* stream, double* outReal) + TA_RetCode TA_PERCENTILE_Clone(const TA_PERCENTILE_Stream* stream, TA_PERCENTILE_Stream** clone) + TA_RetCode TA_PERCENTILE_Close(TA_PERCENTILE_Stream* stream) + TA_RetCode TA_PERCENTILE_OutRange(const TA_PERCENTILE_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_PERCENTILE_Advance(TA_PERCENTILE_Stream* stream) + + ctypedef struct TA_PERCENTRANK_Stream: + pass + TA_RetCode TA_PERCENTRANK_OpenAndFill(TA_PERCENTRANK_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_PERCENTRANK_Open(TA_PERCENTRANK_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_PERCENTRANK_Update(TA_PERCENTRANK_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_PERCENTRANK_Peek(const TA_PERCENTRANK_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_PERCENTRANK_Value(const TA_PERCENTRANK_Stream* stream, double* outReal) + TA_RetCode TA_PERCENTRANK_Clone(const TA_PERCENTRANK_Stream* stream, TA_PERCENTRANK_Stream** clone) + TA_RetCode TA_PERCENTRANK_Close(TA_PERCENTRANK_Stream* stream) + TA_RetCode TA_PERCENTRANK_OutRange(const TA_PERCENTRANK_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_PERCENTRANK_Advance(TA_PERCENTRANK_Stream* stream) + + ctypedef struct TA_PLUS_DI_Stream: + pass + TA_RetCode TA_PLUS_DI_OpenAndFill(TA_PLUS_DI_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_PLUS_DI_Open(TA_PLUS_DI_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_PLUS_DI_Update(TA_PLUS_DI_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_PLUS_DI_Peek(const TA_PLUS_DI_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_PLUS_DI_Value(const TA_PLUS_DI_Stream* stream, double* outReal) + TA_RetCode TA_PLUS_DI_Clone(const TA_PLUS_DI_Stream* stream, TA_PLUS_DI_Stream** clone) + TA_RetCode TA_PLUS_DI_Close(TA_PLUS_DI_Stream* stream) + TA_RetCode TA_PLUS_DI_OutRange(const TA_PLUS_DI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_PLUS_DI_Advance(TA_PLUS_DI_Stream* stream) + + ctypedef struct TA_PLUS_DM_Stream: + pass + TA_RetCode TA_PLUS_DM_OpenAndFill(TA_PLUS_DM_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_PLUS_DM_Open(TA_PLUS_DM_Stream** stream, const double* inHigh, const double* inLow, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_PLUS_DM_Update(TA_PLUS_DM_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_PLUS_DM_Peek(const TA_PLUS_DM_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_PLUS_DM_Value(const TA_PLUS_DM_Stream* stream, double* outReal) + TA_RetCode TA_PLUS_DM_Clone(const TA_PLUS_DM_Stream* stream, TA_PLUS_DM_Stream** clone) + TA_RetCode TA_PLUS_DM_Close(TA_PLUS_DM_Stream* stream) + TA_RetCode TA_PLUS_DM_OutRange(const TA_PLUS_DM_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_PLUS_DM_Advance(TA_PLUS_DM_Stream* stream) + + ctypedef struct TA_PPO_Stream: + pass + TA_RetCode TA_PPO_OpenAndFill(TA_PPO_Stream** stream, const double* inReal, int historyLen, int optInFastPeriod, int optInSlowPeriod, TA_MAType optInMAType, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_PPO_Open(TA_PPO_Stream** stream, const double* inReal, int historyLen, int optInFastPeriod, int optInSlowPeriod, TA_MAType optInMAType, double* outReal) + TA_RetCode TA_PPO_Update(TA_PPO_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_PPO_Peek(const TA_PPO_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_PPO_Value(const TA_PPO_Stream* stream, double* outReal) + TA_RetCode TA_PPO_Clone(const TA_PPO_Stream* stream, TA_PPO_Stream** clone) + TA_RetCode TA_PPO_Close(TA_PPO_Stream* stream) + TA_RetCode TA_PPO_OutRange(const TA_PPO_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_PPO_Advance(TA_PPO_Stream* stream) + + ctypedef struct TA_PVI_Stream: + pass + TA_RetCode TA_PVI_OpenAndFill(TA_PVI_Stream** stream, const double* inClose, const double* inVolume, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_PVI_Open(TA_PVI_Stream** stream, const double* inClose, const double* inVolume, int historyLen, double* outReal) + TA_RetCode TA_PVI_Update(TA_PVI_Stream* stream, double inClose, double inVolume, double* outReal) + TA_RetCode TA_PVI_Peek(const TA_PVI_Stream* stream, double inClose, double inVolume, double* outReal) + TA_RetCode TA_PVI_Value(const TA_PVI_Stream* stream, double* outReal) + TA_RetCode TA_PVI_Clone(const TA_PVI_Stream* stream, TA_PVI_Stream** clone) + TA_RetCode TA_PVI_Close(TA_PVI_Stream* stream) + TA_RetCode TA_PVI_OutRange(const TA_PVI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_PVI_Advance(TA_PVI_Stream* stream) + + ctypedef struct TA_PVO_Stream: + pass + TA_RetCode TA_PVO_OpenAndFill(TA_PVO_Stream** stream, const double* inVolume, int historyLen, int optInFastPeriod, int optInSlowPeriod, TA_MAType optInMAType, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_PVO_Open(TA_PVO_Stream** stream, const double* inVolume, int historyLen, int optInFastPeriod, int optInSlowPeriod, TA_MAType optInMAType, double* outReal) + TA_RetCode TA_PVO_Update(TA_PVO_Stream* stream, double inVolume, double* outReal) + TA_RetCode TA_PVO_Peek(const TA_PVO_Stream* stream, double inVolume, double* outReal) + TA_RetCode TA_PVO_Value(const TA_PVO_Stream* stream, double* outReal) + TA_RetCode TA_PVO_Clone(const TA_PVO_Stream* stream, TA_PVO_Stream** clone) + TA_RetCode TA_PVO_Close(TA_PVO_Stream* stream) + TA_RetCode TA_PVO_OutRange(const TA_PVO_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_PVO_Advance(TA_PVO_Stream* stream) + + ctypedef struct TA_PVT_Stream: + pass + TA_RetCode TA_PVT_OpenAndFill(TA_PVT_Stream** stream, const double* inClose, const double* inVolume, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_PVT_Open(TA_PVT_Stream** stream, const double* inClose, const double* inVolume, int historyLen, double* outReal) + TA_RetCode TA_PVT_Update(TA_PVT_Stream* stream, double inClose, double inVolume, double* outReal) + TA_RetCode TA_PVT_Peek(const TA_PVT_Stream* stream, double inClose, double inVolume, double* outReal) + TA_RetCode TA_PVT_Value(const TA_PVT_Stream* stream, double* outReal) + TA_RetCode TA_PVT_Clone(const TA_PVT_Stream* stream, TA_PVT_Stream** clone) + TA_RetCode TA_PVT_Close(TA_PVT_Stream* stream) + TA_RetCode TA_PVT_OutRange(const TA_PVT_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_PVT_Advance(TA_PVT_Stream* stream) + + ctypedef struct TA_QSTICK_Stream: + pass + TA_RetCode TA_QSTICK_OpenAndFill(TA_QSTICK_Stream** stream, const double* inOpen, const double* inClose, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_QSTICK_Open(TA_QSTICK_Stream** stream, const double* inOpen, const double* inClose, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_QSTICK_Update(TA_QSTICK_Stream* stream, double inOpen, double inClose, double* outReal) + TA_RetCode TA_QSTICK_Peek(const TA_QSTICK_Stream* stream, double inOpen, double inClose, double* outReal) + TA_RetCode TA_QSTICK_Value(const TA_QSTICK_Stream* stream, double* outReal) + TA_RetCode TA_QSTICK_Clone(const TA_QSTICK_Stream* stream, TA_QSTICK_Stream** clone) + TA_RetCode TA_QSTICK_Close(TA_QSTICK_Stream* stream) + TA_RetCode TA_QSTICK_OutRange(const TA_QSTICK_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_QSTICK_Advance(TA_QSTICK_Stream* stream) + + ctypedef struct TA_RMA_Stream: + pass + TA_RetCode TA_RMA_OpenAndFill(TA_RMA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_RMA_Open(TA_RMA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_RMA_Update(TA_RMA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_RMA_Peek(const TA_RMA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_RMA_Value(const TA_RMA_Stream* stream, double* outReal) + TA_RetCode TA_RMA_Clone(const TA_RMA_Stream* stream, TA_RMA_Stream** clone) + TA_RetCode TA_RMA_Close(TA_RMA_Stream* stream) + TA_RetCode TA_RMA_OutRange(const TA_RMA_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_RMA_Advance(TA_RMA_Stream* stream) + + ctypedef struct TA_ROC_Stream: + pass + TA_RetCode TA_ROC_OpenAndFill(TA_ROC_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_ROC_Open(TA_ROC_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_ROC_Update(TA_ROC_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_ROC_Peek(const TA_ROC_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_ROC_Value(const TA_ROC_Stream* stream, double* outReal) + TA_RetCode TA_ROC_Clone(const TA_ROC_Stream* stream, TA_ROC_Stream** clone) + TA_RetCode TA_ROC_Close(TA_ROC_Stream* stream) + TA_RetCode TA_ROC_OutRange(const TA_ROC_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_ROC_Advance(TA_ROC_Stream* stream) + + ctypedef struct TA_ROCP_Stream: + pass + TA_RetCode TA_ROCP_OpenAndFill(TA_ROCP_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_ROCP_Open(TA_ROCP_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_ROCP_Update(TA_ROCP_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_ROCP_Peek(const TA_ROCP_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_ROCP_Value(const TA_ROCP_Stream* stream, double* outReal) + TA_RetCode TA_ROCP_Clone(const TA_ROCP_Stream* stream, TA_ROCP_Stream** clone) + TA_RetCode TA_ROCP_Close(TA_ROCP_Stream* stream) + TA_RetCode TA_ROCP_OutRange(const TA_ROCP_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_ROCP_Advance(TA_ROCP_Stream* stream) + + ctypedef struct TA_ROCR_Stream: + pass + TA_RetCode TA_ROCR_OpenAndFill(TA_ROCR_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_ROCR_Open(TA_ROCR_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_ROCR_Update(TA_ROCR_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_ROCR_Peek(const TA_ROCR_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_ROCR_Value(const TA_ROCR_Stream* stream, double* outReal) + TA_RetCode TA_ROCR_Clone(const TA_ROCR_Stream* stream, TA_ROCR_Stream** clone) + TA_RetCode TA_ROCR_Close(TA_ROCR_Stream* stream) + TA_RetCode TA_ROCR_OutRange(const TA_ROCR_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_ROCR_Advance(TA_ROCR_Stream* stream) + + ctypedef struct TA_ROCR100_Stream: + pass + TA_RetCode TA_ROCR100_OpenAndFill(TA_ROCR100_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_ROCR100_Open(TA_ROCR100_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_ROCR100_Update(TA_ROCR100_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_ROCR100_Peek(const TA_ROCR100_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_ROCR100_Value(const TA_ROCR100_Stream* stream, double* outReal) + TA_RetCode TA_ROCR100_Clone(const TA_ROCR100_Stream* stream, TA_ROCR100_Stream** clone) + TA_RetCode TA_ROCR100_Close(TA_ROCR100_Stream* stream) + TA_RetCode TA_ROCR100_OutRange(const TA_ROCR100_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_ROCR100_Advance(TA_ROCR100_Stream* stream) + + ctypedef struct TA_RSI_Stream: + pass + TA_RetCode TA_RSI_OpenAndFill(TA_RSI_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_RSI_Open(TA_RSI_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_RSI_Update(TA_RSI_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_RSI_Peek(const TA_RSI_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_RSI_Value(const TA_RSI_Stream* stream, double* outReal) + TA_RetCode TA_RSI_Clone(const TA_RSI_Stream* stream, TA_RSI_Stream** clone) + TA_RetCode TA_RSI_Close(TA_RSI_Stream* stream) + TA_RetCode TA_RSI_OutRange(const TA_RSI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_RSI_Advance(TA_RSI_Stream* stream) + + ctypedef struct TA_RVI_Stream: + pass + TA_RetCode TA_RVI_OpenAndFill(TA_RVI_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int optInStdDevPeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_RVI_Open(TA_RVI_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int optInStdDevPeriod, double* outReal) + TA_RetCode TA_RVI_Update(TA_RVI_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_RVI_Peek(const TA_RVI_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_RVI_Value(const TA_RVI_Stream* stream, double* outReal) + TA_RetCode TA_RVI_Clone(const TA_RVI_Stream* stream, TA_RVI_Stream** clone) + TA_RetCode TA_RVI_Close(TA_RVI_Stream* stream) + TA_RetCode TA_RVI_OutRange(const TA_RVI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_RVI_Advance(TA_RVI_Stream* stream) + + ctypedef struct TA_RVOL_Stream: + pass + TA_RetCode TA_RVOL_OpenAndFill(TA_RVOL_Stream** stream, const double* inVolume, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_RVOL_Open(TA_RVOL_Stream** stream, const double* inVolume, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_RVOL_Update(TA_RVOL_Stream* stream, double inVolume, double* outReal) + TA_RetCode TA_RVOL_Peek(const TA_RVOL_Stream* stream, double inVolume, double* outReal) + TA_RetCode TA_RVOL_Value(const TA_RVOL_Stream* stream, double* outReal) + TA_RetCode TA_RVOL_Clone(const TA_RVOL_Stream* stream, TA_RVOL_Stream** clone) + TA_RetCode TA_RVOL_Close(TA_RVOL_Stream* stream) + TA_RetCode TA_RVOL_OutRange(const TA_RVOL_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_RVOL_Advance(TA_RVOL_Stream* stream) + + ctypedef struct TA_SAR_Stream: + pass + TA_RetCode TA_SAR_OpenAndFill(TA_SAR_Stream** stream, const double* inHigh, const double* inLow, int historyLen, double optInAcceleration, double optInMaximum, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_SAR_Open(TA_SAR_Stream** stream, const double* inHigh, const double* inLow, int historyLen, double optInAcceleration, double optInMaximum, double* outReal) + TA_RetCode TA_SAR_Update(TA_SAR_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_SAR_Peek(const TA_SAR_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_SAR_Value(const TA_SAR_Stream* stream, double* outReal) + TA_RetCode TA_SAR_Clone(const TA_SAR_Stream* stream, TA_SAR_Stream** clone) + TA_RetCode TA_SAR_Close(TA_SAR_Stream* stream) + TA_RetCode TA_SAR_OutRange(const TA_SAR_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_SAR_Advance(TA_SAR_Stream* stream) + + ctypedef struct TA_SAREXT_Stream: + pass + TA_RetCode TA_SAREXT_OpenAndFill(TA_SAREXT_Stream** stream, const double* inHigh, const double* inLow, int historyLen, double optInStartValue, double optInOffsetOnReverse, double optInAccelerationInitLong, double optInAccelerationLong, double optInAccelerationMaxLong, double optInAccelerationInitShort, double optInAccelerationShort, double optInAccelerationMaxShort, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_SAREXT_Open(TA_SAREXT_Stream** stream, const double* inHigh, const double* inLow, int historyLen, double optInStartValue, double optInOffsetOnReverse, double optInAccelerationInitLong, double optInAccelerationLong, double optInAccelerationMaxLong, double optInAccelerationInitShort, double optInAccelerationShort, double optInAccelerationMaxShort, double* outReal) + TA_RetCode TA_SAREXT_Update(TA_SAREXT_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_SAREXT_Peek(const TA_SAREXT_Stream* stream, double inHigh, double inLow, double* outReal) + TA_RetCode TA_SAREXT_Value(const TA_SAREXT_Stream* stream, double* outReal) + TA_RetCode TA_SAREXT_Clone(const TA_SAREXT_Stream* stream, TA_SAREXT_Stream** clone) + TA_RetCode TA_SAREXT_Close(TA_SAREXT_Stream* stream) + TA_RetCode TA_SAREXT_OutRange(const TA_SAREXT_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_SAREXT_Advance(TA_SAREXT_Stream* stream) + + ctypedef struct TA_SIN_Stream: + pass + TA_RetCode TA_SIN_OpenAndFill(TA_SIN_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_SIN_Open(TA_SIN_Stream** stream, const double* inReal, int historyLen, double* outReal) + TA_RetCode TA_SIN_Update(TA_SIN_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_SIN_Peek(const TA_SIN_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_SIN_Value(const TA_SIN_Stream* stream, double* outReal) + TA_RetCode TA_SIN_Clone(const TA_SIN_Stream* stream, TA_SIN_Stream** clone) + TA_RetCode TA_SIN_Close(TA_SIN_Stream* stream) + TA_RetCode TA_SIN_OutRange(const TA_SIN_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_SIN_Advance(TA_SIN_Stream* stream) + + ctypedef struct TA_SINH_Stream: + pass + TA_RetCode TA_SINH_OpenAndFill(TA_SINH_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_SINH_Open(TA_SINH_Stream** stream, const double* inReal, int historyLen, double* outReal) + TA_RetCode TA_SINH_Update(TA_SINH_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_SINH_Peek(const TA_SINH_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_SINH_Value(const TA_SINH_Stream* stream, double* outReal) + TA_RetCode TA_SINH_Clone(const TA_SINH_Stream* stream, TA_SINH_Stream** clone) + TA_RetCode TA_SINH_Close(TA_SINH_Stream* stream) + TA_RetCode TA_SINH_OutRange(const TA_SINH_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_SINH_Advance(TA_SINH_Stream* stream) + + ctypedef struct TA_SMA_Stream: + pass + TA_RetCode TA_SMA_OpenAndFill(TA_SMA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_SMA_Open(TA_SMA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_SMA_Update(TA_SMA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_SMA_Peek(const TA_SMA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_SMA_Value(const TA_SMA_Stream* stream, double* outReal) + TA_RetCode TA_SMA_Clone(const TA_SMA_Stream* stream, TA_SMA_Stream** clone) + TA_RetCode TA_SMA_Close(TA_SMA_Stream* stream) + TA_RetCode TA_SMA_OutRange(const TA_SMA_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_SMA_Advance(TA_SMA_Stream* stream) + + ctypedef struct TA_SMI_Stream: + pass + TA_RetCode TA_SMI_OpenAndFill(TA_SMI_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, int optInFastPeriod, int optInSlowPeriod, int optInSignalPeriod, int* outBegIdx, int* outNBElement, double* outSMI, double* outSMISignal) + TA_RetCode TA_SMI_Open(TA_SMI_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, int optInFastPeriod, int optInSlowPeriod, int optInSignalPeriod, double* outSMI, double* outSMISignal) + TA_RetCode TA_SMI_Update(TA_SMI_Stream* stream, double inHigh, double inLow, double inClose, double* outSMI, double* outSMISignal) + TA_RetCode TA_SMI_Peek(const TA_SMI_Stream* stream, double inHigh, double inLow, double inClose, double* outSMI, double* outSMISignal) + TA_RetCode TA_SMI_Value(const TA_SMI_Stream* stream, double* outSMI, double* outSMISignal) + TA_RetCode TA_SMI_Clone(const TA_SMI_Stream* stream, TA_SMI_Stream** clone) + TA_RetCode TA_SMI_Close(TA_SMI_Stream* stream) + TA_RetCode TA_SMI_OutRange(const TA_SMI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_SMI_Advance(TA_SMI_Stream* stream) + + ctypedef struct TA_SQRT_Stream: + pass + TA_RetCode TA_SQRT_OpenAndFill(TA_SQRT_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_SQRT_Open(TA_SQRT_Stream** stream, const double* inReal, int historyLen, double* outReal) + TA_RetCode TA_SQRT_Update(TA_SQRT_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_SQRT_Peek(const TA_SQRT_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_SQRT_Value(const TA_SQRT_Stream* stream, double* outReal) + TA_RetCode TA_SQRT_Clone(const TA_SQRT_Stream* stream, TA_SQRT_Stream** clone) + TA_RetCode TA_SQRT_Close(TA_SQRT_Stream* stream) + TA_RetCode TA_SQRT_OutRange(const TA_SQRT_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_SQRT_Advance(TA_SQRT_Stream* stream) + + ctypedef struct TA_STDDEV_Stream: + pass + TA_RetCode TA_STDDEV_OpenAndFill(TA_STDDEV_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double optInNbDev, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_STDDEV_Open(TA_STDDEV_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double optInNbDev, double* outReal) + TA_RetCode TA_STDDEV_Update(TA_STDDEV_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_STDDEV_Peek(const TA_STDDEV_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_STDDEV_Value(const TA_STDDEV_Stream* stream, double* outReal) + TA_RetCode TA_STDDEV_Clone(const TA_STDDEV_Stream* stream, TA_STDDEV_Stream** clone) + TA_RetCode TA_STDDEV_Close(TA_STDDEV_Stream* stream) + TA_RetCode TA_STDDEV_OutRange(const TA_STDDEV_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_STDDEV_Advance(TA_STDDEV_Stream* stream) + + ctypedef struct TA_STOCH_Stream: + pass + TA_RetCode TA_STOCH_OpenAndFill(TA_STOCH_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInFastK_Period, int optInSlowK_Period, TA_MAType optInSlowK_MAType, int optInSlowD_Period, TA_MAType optInSlowD_MAType, int* outBegIdx, int* outNBElement, double* outSlowK, double* outSlowD) + TA_RetCode TA_STOCH_Open(TA_STOCH_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInFastK_Period, int optInSlowK_Period, TA_MAType optInSlowK_MAType, int optInSlowD_Period, TA_MAType optInSlowD_MAType, double* outSlowK, double* outSlowD) + TA_RetCode TA_STOCH_Update(TA_STOCH_Stream* stream, double inHigh, double inLow, double inClose, double* outSlowK, double* outSlowD) + TA_RetCode TA_STOCH_Peek(const TA_STOCH_Stream* stream, double inHigh, double inLow, double inClose, double* outSlowK, double* outSlowD) + TA_RetCode TA_STOCH_Value(const TA_STOCH_Stream* stream, double* outSlowK, double* outSlowD) + TA_RetCode TA_STOCH_Clone(const TA_STOCH_Stream* stream, TA_STOCH_Stream** clone) + TA_RetCode TA_STOCH_Close(TA_STOCH_Stream* stream) + TA_RetCode TA_STOCH_OutRange(const TA_STOCH_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_STOCH_Advance(TA_STOCH_Stream* stream) + + ctypedef struct TA_STOCHF_Stream: + pass + TA_RetCode TA_STOCHF_OpenAndFill(TA_STOCHF_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInFastK_Period, int optInFastD_Period, TA_MAType optInFastD_MAType, int* outBegIdx, int* outNBElement, double* outFastK, double* outFastD) + TA_RetCode TA_STOCHF_Open(TA_STOCHF_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInFastK_Period, int optInFastD_Period, TA_MAType optInFastD_MAType, double* outFastK, double* outFastD) + TA_RetCode TA_STOCHF_Update(TA_STOCHF_Stream* stream, double inHigh, double inLow, double inClose, double* outFastK, double* outFastD) + TA_RetCode TA_STOCHF_Peek(const TA_STOCHF_Stream* stream, double inHigh, double inLow, double inClose, double* outFastK, double* outFastD) + TA_RetCode TA_STOCHF_Value(const TA_STOCHF_Stream* stream, double* outFastK, double* outFastD) + TA_RetCode TA_STOCHF_Clone(const TA_STOCHF_Stream* stream, TA_STOCHF_Stream** clone) + TA_RetCode TA_STOCHF_Close(TA_STOCHF_Stream* stream) + TA_RetCode TA_STOCHF_OutRange(const TA_STOCHF_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_STOCHF_Advance(TA_STOCHF_Stream* stream) + + ctypedef struct TA_STOCHRSI_Stream: + pass + TA_RetCode TA_STOCHRSI_OpenAndFill(TA_STOCHRSI_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int optInFastK_Period, int optInFastD_Period, TA_MAType optInFastD_MAType, int* outBegIdx, int* outNBElement, double* outFastK, double* outFastD) + TA_RetCode TA_STOCHRSI_Open(TA_STOCHRSI_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int optInFastK_Period, int optInFastD_Period, TA_MAType optInFastD_MAType, double* outFastK, double* outFastD) + TA_RetCode TA_STOCHRSI_Update(TA_STOCHRSI_Stream* stream, double inReal, double* outFastK, double* outFastD) + TA_RetCode TA_STOCHRSI_Peek(const TA_STOCHRSI_Stream* stream, double inReal, double* outFastK, double* outFastD) + TA_RetCode TA_STOCHRSI_Value(const TA_STOCHRSI_Stream* stream, double* outFastK, double* outFastD) + TA_RetCode TA_STOCHRSI_Clone(const TA_STOCHRSI_Stream* stream, TA_STOCHRSI_Stream** clone) + TA_RetCode TA_STOCHRSI_Close(TA_STOCHRSI_Stream* stream) + TA_RetCode TA_STOCHRSI_OutRange(const TA_STOCHRSI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_STOCHRSI_Advance(TA_STOCHRSI_Stream* stream) + + ctypedef struct TA_SUB_Stream: + pass + TA_RetCode TA_SUB_OpenAndFill(TA_SUB_Stream** stream, const double* inReal0, const double* inReal1, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_SUB_Open(TA_SUB_Stream** stream, const double* inReal0, const double* inReal1, int historyLen, double* outReal) + TA_RetCode TA_SUB_Update(TA_SUB_Stream* stream, double inReal0, double inReal1, double* outReal) + TA_RetCode TA_SUB_Peek(const TA_SUB_Stream* stream, double inReal0, double inReal1, double* outReal) + TA_RetCode TA_SUB_Value(const TA_SUB_Stream* stream, double* outReal) + TA_RetCode TA_SUB_Clone(const TA_SUB_Stream* stream, TA_SUB_Stream** clone) + TA_RetCode TA_SUB_Close(TA_SUB_Stream* stream) + TA_RetCode TA_SUB_OutRange(const TA_SUB_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_SUB_Advance(TA_SUB_Stream* stream) + + ctypedef struct TA_SUM_Stream: + pass + TA_RetCode TA_SUM_OpenAndFill(TA_SUM_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_SUM_Open(TA_SUM_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_SUM_Update(TA_SUM_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_SUM_Peek(const TA_SUM_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_SUM_Value(const TA_SUM_Stream* stream, double* outReal) + TA_RetCode TA_SUM_Clone(const TA_SUM_Stream* stream, TA_SUM_Stream** clone) + TA_RetCode TA_SUM_Close(TA_SUM_Stream* stream) + TA_RetCode TA_SUM_OutRange(const TA_SUM_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_SUM_Advance(TA_SUM_Stream* stream) + + ctypedef struct TA_SUPERTREND_Stream: + pass + TA_RetCode TA_SUPERTREND_OpenAndFill(TA_SUPERTREND_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, double optInMultiplier, int* outBegIdx, int* outNBElement, double* outReal, int* outInteger) + TA_RetCode TA_SUPERTREND_Open(TA_SUPERTREND_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, double optInMultiplier, double* outReal, int* outInteger) + TA_RetCode TA_SUPERTREND_Update(TA_SUPERTREND_Stream* stream, double inHigh, double inLow, double inClose, double* outReal, int* outInteger) + TA_RetCode TA_SUPERTREND_Peek(const TA_SUPERTREND_Stream* stream, double inHigh, double inLow, double inClose, double* outReal, int* outInteger) + TA_RetCode TA_SUPERTREND_Value(const TA_SUPERTREND_Stream* stream, double* outReal, int* outInteger) + TA_RetCode TA_SUPERTREND_Clone(const TA_SUPERTREND_Stream* stream, TA_SUPERTREND_Stream** clone) + TA_RetCode TA_SUPERTREND_Close(TA_SUPERTREND_Stream* stream) + TA_RetCode TA_SUPERTREND_OutRange(const TA_SUPERTREND_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_SUPERTREND_Advance(TA_SUPERTREND_Stream* stream) + + ctypedef struct TA_T3_Stream: + pass + TA_RetCode TA_T3_OpenAndFill(TA_T3_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double optInVFactor, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_T3_Open(TA_T3_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double optInVFactor, double* outReal) + TA_RetCode TA_T3_Update(TA_T3_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_T3_Peek(const TA_T3_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_T3_Value(const TA_T3_Stream* stream, double* outReal) + TA_RetCode TA_T3_Clone(const TA_T3_Stream* stream, TA_T3_Stream** clone) + TA_RetCode TA_T3_Close(TA_T3_Stream* stream) + TA_RetCode TA_T3_OutRange(const TA_T3_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_T3_Advance(TA_T3_Stream* stream) + + ctypedef struct TA_TAN_Stream: + pass + TA_RetCode TA_TAN_OpenAndFill(TA_TAN_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_TAN_Open(TA_TAN_Stream** stream, const double* inReal, int historyLen, double* outReal) + TA_RetCode TA_TAN_Update(TA_TAN_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_TAN_Peek(const TA_TAN_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_TAN_Value(const TA_TAN_Stream* stream, double* outReal) + TA_RetCode TA_TAN_Clone(const TA_TAN_Stream* stream, TA_TAN_Stream** clone) + TA_RetCode TA_TAN_Close(TA_TAN_Stream* stream) + TA_RetCode TA_TAN_OutRange(const TA_TAN_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_TAN_Advance(TA_TAN_Stream* stream) + + ctypedef struct TA_TANH_Stream: + pass + TA_RetCode TA_TANH_OpenAndFill(TA_TANH_Stream** stream, const double* inReal, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_TANH_Open(TA_TANH_Stream** stream, const double* inReal, int historyLen, double* outReal) + TA_RetCode TA_TANH_Update(TA_TANH_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_TANH_Peek(const TA_TANH_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_TANH_Value(const TA_TANH_Stream* stream, double* outReal) + TA_RetCode TA_TANH_Clone(const TA_TANH_Stream* stream, TA_TANH_Stream** clone) + TA_RetCode TA_TANH_Close(TA_TANH_Stream* stream) + TA_RetCode TA_TANH_OutRange(const TA_TANH_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_TANH_Advance(TA_TANH_Stream* stream) + + ctypedef struct TA_TEMA_Stream: + pass + TA_RetCode TA_TEMA_OpenAndFill(TA_TEMA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_TEMA_Open(TA_TEMA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_TEMA_Update(TA_TEMA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_TEMA_Peek(const TA_TEMA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_TEMA_Value(const TA_TEMA_Stream* stream, double* outReal) + TA_RetCode TA_TEMA_Clone(const TA_TEMA_Stream* stream, TA_TEMA_Stream** clone) + TA_RetCode TA_TEMA_Close(TA_TEMA_Stream* stream) + TA_RetCode TA_TEMA_OutRange(const TA_TEMA_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_TEMA_Advance(TA_TEMA_Stream* stream) + + ctypedef struct TA_TRANGE_Stream: + pass + TA_RetCode TA_TRANGE_OpenAndFill(TA_TRANGE_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_TRANGE_Open(TA_TRANGE_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, double* outReal) + TA_RetCode TA_TRANGE_Update(TA_TRANGE_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_TRANGE_Peek(const TA_TRANGE_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_TRANGE_Value(const TA_TRANGE_Stream* stream, double* outReal) + TA_RetCode TA_TRANGE_Clone(const TA_TRANGE_Stream* stream, TA_TRANGE_Stream** clone) + TA_RetCode TA_TRANGE_Close(TA_TRANGE_Stream* stream) + TA_RetCode TA_TRANGE_OutRange(const TA_TRANGE_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_TRANGE_Advance(TA_TRANGE_Stream* stream) + + ctypedef struct TA_TRIMA_Stream: + pass + TA_RetCode TA_TRIMA_OpenAndFill(TA_TRIMA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_TRIMA_Open(TA_TRIMA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_TRIMA_Update(TA_TRIMA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_TRIMA_Peek(const TA_TRIMA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_TRIMA_Value(const TA_TRIMA_Stream* stream, double* outReal) + TA_RetCode TA_TRIMA_Clone(const TA_TRIMA_Stream* stream, TA_TRIMA_Stream** clone) + TA_RetCode TA_TRIMA_Close(TA_TRIMA_Stream* stream) + TA_RetCode TA_TRIMA_OutRange(const TA_TRIMA_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_TRIMA_Advance(TA_TRIMA_Stream* stream) + + ctypedef struct TA_TRIX_Stream: + pass + TA_RetCode TA_TRIX_OpenAndFill(TA_TRIX_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_TRIX_Open(TA_TRIX_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_TRIX_Update(TA_TRIX_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_TRIX_Peek(const TA_TRIX_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_TRIX_Value(const TA_TRIX_Stream* stream, double* outReal) + TA_RetCode TA_TRIX_Clone(const TA_TRIX_Stream* stream, TA_TRIX_Stream** clone) + TA_RetCode TA_TRIX_Close(TA_TRIX_Stream* stream) + TA_RetCode TA_TRIX_OutRange(const TA_TRIX_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_TRIX_Advance(TA_TRIX_Stream* stream) + + ctypedef struct TA_TSF_Stream: + pass + TA_RetCode TA_TSF_OpenAndFill(TA_TSF_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_TSF_Open(TA_TSF_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_TSF_Update(TA_TSF_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_TSF_Peek(const TA_TSF_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_TSF_Value(const TA_TSF_Stream* stream, double* outReal) + TA_RetCode TA_TSF_Clone(const TA_TSF_Stream* stream, TA_TSF_Stream** clone) + TA_RetCode TA_TSF_Close(TA_TSF_Stream* stream) + TA_RetCode TA_TSF_OutRange(const TA_TSF_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_TSF_Advance(TA_TSF_Stream* stream) + + ctypedef struct TA_TSI_Stream: + pass + TA_RetCode TA_TSI_OpenAndFill(TA_TSI_Stream** stream, const double* inReal, int historyLen, int optInFirstPeriod, int optInSecondPeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_TSI_Open(TA_TSI_Stream** stream, const double* inReal, int historyLen, int optInFirstPeriod, int optInSecondPeriod, double* outReal) + TA_RetCode TA_TSI_Update(TA_TSI_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_TSI_Peek(const TA_TSI_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_TSI_Value(const TA_TSI_Stream* stream, double* outReal) + TA_RetCode TA_TSI_Clone(const TA_TSI_Stream* stream, TA_TSI_Stream** clone) + TA_RetCode TA_TSI_Close(TA_TSI_Stream* stream) + TA_RetCode TA_TSI_OutRange(const TA_TSI_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_TSI_Advance(TA_TSI_Stream* stream) + + ctypedef struct TA_TYPPRICE_Stream: + pass + TA_RetCode TA_TYPPRICE_OpenAndFill(TA_TYPPRICE_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_TYPPRICE_Open(TA_TYPPRICE_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, double* outReal) + TA_RetCode TA_TYPPRICE_Update(TA_TYPPRICE_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_TYPPRICE_Peek(const TA_TYPPRICE_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_TYPPRICE_Value(const TA_TYPPRICE_Stream* stream, double* outReal) + TA_RetCode TA_TYPPRICE_Clone(const TA_TYPPRICE_Stream* stream, TA_TYPPRICE_Stream** clone) + TA_RetCode TA_TYPPRICE_Close(TA_TYPPRICE_Stream* stream) + TA_RetCode TA_TYPPRICE_OutRange(const TA_TYPPRICE_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_TYPPRICE_Advance(TA_TYPPRICE_Stream* stream) + + ctypedef struct TA_ULTOSC_Stream: + pass + TA_RetCode TA_ULTOSC_OpenAndFill(TA_ULTOSC_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod1, int optInTimePeriod2, int optInTimePeriod3, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_ULTOSC_Open(TA_ULTOSC_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod1, int optInTimePeriod2, int optInTimePeriod3, double* outReal) + TA_RetCode TA_ULTOSC_Update(TA_ULTOSC_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_ULTOSC_Peek(const TA_ULTOSC_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_ULTOSC_Value(const TA_ULTOSC_Stream* stream, double* outReal) + TA_RetCode TA_ULTOSC_Clone(const TA_ULTOSC_Stream* stream, TA_ULTOSC_Stream** clone) + TA_RetCode TA_ULTOSC_Close(TA_ULTOSC_Stream* stream) + TA_RetCode TA_ULTOSC_OutRange(const TA_ULTOSC_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_ULTOSC_Advance(TA_ULTOSC_Stream* stream) + + ctypedef struct TA_VAR_Stream: + pass + TA_RetCode TA_VAR_OpenAndFill(TA_VAR_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double optInNbDev, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_VAR_Open(TA_VAR_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double optInNbDev, double* outReal) + TA_RetCode TA_VAR_Update(TA_VAR_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_VAR_Peek(const TA_VAR_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_VAR_Value(const TA_VAR_Stream* stream, double* outReal) + TA_RetCode TA_VAR_Clone(const TA_VAR_Stream* stream, TA_VAR_Stream** clone) + TA_RetCode TA_VAR_Close(TA_VAR_Stream* stream) + TA_RetCode TA_VAR_OutRange(const TA_VAR_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_VAR_Advance(TA_VAR_Stream* stream) + + ctypedef struct TA_VHF_Stream: + pass + TA_RetCode TA_VHF_OpenAndFill(TA_VHF_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_VHF_Open(TA_VHF_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_VHF_Update(TA_VHF_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_VHF_Peek(const TA_VHF_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_VHF_Value(const TA_VHF_Stream* stream, double* outReal) + TA_RetCode TA_VHF_Clone(const TA_VHF_Stream* stream, TA_VHF_Stream** clone) + TA_RetCode TA_VHF_Close(TA_VHF_Stream* stream) + TA_RetCode TA_VHF_OutRange(const TA_VHF_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_VHF_Advance(TA_VHF_Stream* stream) + + ctypedef struct TA_VORTEX_Stream: + pass + TA_RetCode TA_VORTEX_OpenAndFill(TA_VORTEX_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outPlusVI, double* outMinusVI) + TA_RetCode TA_VORTEX_Open(TA_VORTEX_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, double* outPlusVI, double* outMinusVI) + TA_RetCode TA_VORTEX_Update(TA_VORTEX_Stream* stream, double inHigh, double inLow, double inClose, double* outPlusVI, double* outMinusVI) + TA_RetCode TA_VORTEX_Peek(const TA_VORTEX_Stream* stream, double inHigh, double inLow, double inClose, double* outPlusVI, double* outMinusVI) + TA_RetCode TA_VORTEX_Value(const TA_VORTEX_Stream* stream, double* outPlusVI, double* outMinusVI) + TA_RetCode TA_VORTEX_Clone(const TA_VORTEX_Stream* stream, TA_VORTEX_Stream** clone) + TA_RetCode TA_VORTEX_Close(TA_VORTEX_Stream* stream) + TA_RetCode TA_VORTEX_OutRange(const TA_VORTEX_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_VORTEX_Advance(TA_VORTEX_Stream* stream) + + ctypedef struct TA_VWAP_Stream: + pass + TA_RetCode TA_VWAP_OpenAndFill(TA_VWAP_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, const double* inVolume, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_VWAP_Open(TA_VWAP_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, const double* inVolume, int historyLen, double* outReal) + TA_RetCode TA_VWAP_Update(TA_VWAP_Stream* stream, double inHigh, double inLow, double inClose, double inVolume, double* outReal) + TA_RetCode TA_VWAP_Peek(const TA_VWAP_Stream* stream, double inHigh, double inLow, double inClose, double inVolume, double* outReal) + TA_RetCode TA_VWAP_Value(const TA_VWAP_Stream* stream, double* outReal) + TA_RetCode TA_VWAP_Clone(const TA_VWAP_Stream* stream, TA_VWAP_Stream** clone) + TA_RetCode TA_VWAP_Close(TA_VWAP_Stream* stream) + TA_RetCode TA_VWAP_OutRange(const TA_VWAP_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_VWAP_Advance(TA_VWAP_Stream* stream) + + ctypedef struct TA_VWMA_Stream: + pass + TA_RetCode TA_VWMA_OpenAndFill(TA_VWMA_Stream** stream, const double* inReal, const double* inVolume, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_VWMA_Open(TA_VWMA_Stream** stream, const double* inReal, const double* inVolume, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_VWMA_Update(TA_VWMA_Stream* stream, double inReal, double inVolume, double* outReal) + TA_RetCode TA_VWMA_Peek(const TA_VWMA_Stream* stream, double inReal, double inVolume, double* outReal) + TA_RetCode TA_VWMA_Value(const TA_VWMA_Stream* stream, double* outReal) + TA_RetCode TA_VWMA_Clone(const TA_VWMA_Stream* stream, TA_VWMA_Stream** clone) + TA_RetCode TA_VWMA_Close(TA_VWMA_Stream* stream) + TA_RetCode TA_VWMA_OutRange(const TA_VWMA_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_VWMA_Advance(TA_VWMA_Stream* stream) + + ctypedef struct TA_WAD_Stream: + pass + TA_RetCode TA_WAD_OpenAndFill(TA_WAD_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_WAD_Open(TA_WAD_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, double* outReal) + TA_RetCode TA_WAD_Update(TA_WAD_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_WAD_Peek(const TA_WAD_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_WAD_Value(const TA_WAD_Stream* stream, double* outReal) + TA_RetCode TA_WAD_Clone(const TA_WAD_Stream* stream, TA_WAD_Stream** clone) + TA_RetCode TA_WAD_Close(TA_WAD_Stream* stream) + TA_RetCode TA_WAD_OutRange(const TA_WAD_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_WAD_Advance(TA_WAD_Stream* stream) + + ctypedef struct TA_WCLPRICE_Stream: + pass + TA_RetCode TA_WCLPRICE_OpenAndFill(TA_WCLPRICE_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_WCLPRICE_Open(TA_WCLPRICE_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, double* outReal) + TA_RetCode TA_WCLPRICE_Update(TA_WCLPRICE_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_WCLPRICE_Peek(const TA_WCLPRICE_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_WCLPRICE_Value(const TA_WCLPRICE_Stream* stream, double* outReal) + TA_RetCode TA_WCLPRICE_Clone(const TA_WCLPRICE_Stream* stream, TA_WCLPRICE_Stream** clone) + TA_RetCode TA_WCLPRICE_Close(TA_WCLPRICE_Stream* stream) + TA_RetCode TA_WCLPRICE_OutRange(const TA_WCLPRICE_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_WCLPRICE_Advance(TA_WCLPRICE_Stream* stream) + + ctypedef struct TA_WILLR_Stream: + pass + TA_RetCode TA_WILLR_OpenAndFill(TA_WILLR_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_WILLR_Open(TA_WILLR_Stream** stream, const double* inHigh, const double* inLow, const double* inClose, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_WILLR_Update(TA_WILLR_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_WILLR_Peek(const TA_WILLR_Stream* stream, double inHigh, double inLow, double inClose, double* outReal) + TA_RetCode TA_WILLR_Value(const TA_WILLR_Stream* stream, double* outReal) + TA_RetCode TA_WILLR_Clone(const TA_WILLR_Stream* stream, TA_WILLR_Stream** clone) + TA_RetCode TA_WILLR_Close(TA_WILLR_Stream* stream) + TA_RetCode TA_WILLR_OutRange(const TA_WILLR_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_WILLR_Advance(TA_WILLR_Stream* stream) + + ctypedef struct TA_WMA_Stream: + pass + TA_RetCode TA_WMA_OpenAndFill(TA_WMA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_WMA_Open(TA_WMA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_WMA_Update(TA_WMA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_WMA_Peek(const TA_WMA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_WMA_Value(const TA_WMA_Stream* stream, double* outReal) + TA_RetCode TA_WMA_Clone(const TA_WMA_Stream* stream, TA_WMA_Stream** clone) + TA_RetCode TA_WMA_Close(TA_WMA_Stream* stream) + TA_RetCode TA_WMA_OutRange(const TA_WMA_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_WMA_Advance(TA_WMA_Stream* stream) + + ctypedef struct TA_ZLEMA_Stream: + pass + TA_RetCode TA_ZLEMA_OpenAndFill(TA_ZLEMA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, int* outBegIdx, int* outNBElement, double* outReal) + TA_RetCode TA_ZLEMA_Open(TA_ZLEMA_Stream** stream, const double* inReal, int historyLen, int optInTimePeriod, double* outReal) + TA_RetCode TA_ZLEMA_Update(TA_ZLEMA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_ZLEMA_Peek(const TA_ZLEMA_Stream* stream, double inReal, double* outReal) + TA_RetCode TA_ZLEMA_Value(const TA_ZLEMA_Stream* stream, double* outReal) + TA_RetCode TA_ZLEMA_Clone(const TA_ZLEMA_Stream* stream, TA_ZLEMA_Stream** clone) + TA_RetCode TA_ZLEMA_Close(TA_ZLEMA_Stream* stream) + TA_RetCode TA_ZLEMA_OutRange(const TA_ZLEMA_Stream* stream, int* outBegIdx, int* outNBElement) + TA_RetCode TA_ZLEMA_Advance(TA_ZLEMA_Stream* stream) + +cdef np.npy_intp check_length(tuple arrays) except -1: + cdef np.npy_intp length = (arrays[0]).shape[0] + for other in arrays[1:]: + if length != (other).shape[0]: + raise Exception("input array lengths are different") + return length + + +cdef int check_begidx(np.npy_intp length, tuple arrays) except -2: + """The first bar that is not NaN in any input, as the batch tier reads it.""" + cdef double* data[8] + cdef np.npy_intp i + cdef int k, count = len(arrays) + if count > 8: + raise Exception("too many input arrays") + for k in range(count): + data[k] = (arrays[k]).data + for i in range(length): + for k in range(count): + if data[k][i] != data[k][i]: + break + else: + return i + return length - 1 + + + +OutRange = namedtuple("OutRange", "begidx nbelement", module=__name__) + + +cdef np.ndarray _stream_input(object values): + """What the Function API accepts, through the same checks.""" + if isinstance(values, np.ndarray): + return check_array(values) + for series in (__PANDAS_SERIES, __POLARS_SERIES): + if series is not None and isinstance(values, series): + return check_array(values.to_numpy().astype(float)) + raise TypeError("input must be a numpy array or a pandas or polars Series, " + "not %s" % type(values).__name__) + + +cdef int _stream_history(np.npy_intp length, int begidx) except -1: + if begidx < 0: + raise InsufficientHistory("no history: the input array is empty") + return (length - begidx) + + +cdef _stream_open_failed(str function_name, TA_RetCode retCode, int historylen, int need): + if retCode == 17: + if need <= historylen: + need = historylen + 1 # a seeding that wants more than the lookback + raise InsufficientHistory( + "%s: %d bars of history, at least %d needed (a leading bar that is " + "NaN in any input is not history)" % (function_name, historylen, need)) + _ta_check_success(function_name, retCode) + + +cdef _stream_like(tuple sources, object result): + pandas = [s for s in sources + if __PANDAS_SERIES is not None and isinstance(s, __PANDAS_SERIES)] + polars = [s for s in sources + if __POLARS_SERIES is not None and isinstance(s, __POLARS_SERIES)] + if pandas and polars: + raise Exception("Cannot mix polars and pandas") + if pandas: + return __PANDAS_SERIES(result, index=pandas[0].index) + if polars: + return __POLARS_SERIES(result) + return result + + +cdef class Stream: + """Base class of every talib.stream handle. + + Carries what does not depend on the function: the opaque C handle, and the + offset of the first history bar the batch tier would have used.""" + cdef void* _handle + cdef int _begidx + cdef object __weakref__ + + def __cinit__(self): + self._handle = NULL + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_BAD_PARAM + + cdef TA_RetCode _advance(self): + return TA_BAD_PARAM + + @property + def out_range(self): + cdef int outbegidx + cdef int outnbelement + cdef TA_RetCode retCode = self._out_range(&outbegidx, &outnbelement) + if retCode != 0: + _ta_check_success("%s.out_range" % type(self).__name__, retCode) + return OutRange(outbegidx + self._begidx, outnbelement) + + @cython.binding(False) + def advance(self): + cdef TA_RetCode retCode = self._advance() + if retCode != 0: + _ta_check_success("%s.advance" % type(self).__name__, retCode) + + def __copy__(self): + return self.copy() + + def __deepcopy__(self, memo): + return self.copy() + + def __reduce__(self): + raise TypeError( + "cannot pickle %s: a stream handle points into the TA-Lib C library, " + "and does not cross a process boundary" % type(self).__name__) + + +cdef class AC_Stream(Stream): """ AC(high, low[, fastperiod=?, slowperiod=?, signalperiod=?]) Accelerator/Decelerator Oscillator (Momentum Indicators) @@ -22,27 +2555,95 @@ def stream_AC( np.ndarray high not None , np.ndarray low not None , int fastperi Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - length = check_length2(high, low) - outreal = NaN - retCode = lib.TA_AC( (length) - 1 , (length) - 1 , high_data , low_data , fastperiod , slowperiod , signalperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_AC", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_ACCBANDS( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_AC_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, int fastperiod=-2**31, int slowperiod=-2**31, int signalperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_AC_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_AC_Open(&handle, a_high.data + begidx, a_low.data + begidx, historylen, fastperiod, slowperiod, signalperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_AC_Open", retCode, historylen, lib.TA_AC_Lookback(fastperiod, slowperiod, signalperiod) + 1) + if self._handle is not NULL: + TA_AC_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, int fastperiod=-2**31, int slowperiod=-2**31, int signalperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_AC_Lookback(fastperiod, slowperiod, signalperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_AC_Stream* handle = NULL + cdef TA_RetCode retCode = TA_AC_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, historylen, fastperiod, slowperiod, signalperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_AC_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef AC_Stream stream = AC_Stream.__new__(AC_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low,), outreal) + + @cython.binding(False) + def update(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_AC_Update(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_AC_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_AC_Peek(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_AC_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_AC_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_AC_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_AC_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_AC_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_AC_Stream* clone = NULL + cdef TA_RetCode retCode = TA_AC_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_AC_Clone", retCode) + cdef AC_Stream stream = AC_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +ACCBANDS_Value = namedtuple("ACCBANDS_Value", "upperband middleband lowerband", module=__name__) + +cdef class ACCBANDS_Stream(Stream): """ ACCBANDS(high, low, close[, timeperiod=?]) Acceleration Bands (Overlap Studies) @@ -56,34 +2657,105 @@ def stream_ACCBANDS( np.ndarray high not None , np.ndarray low not None , np.nda middleband lowerband """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outrealupperband - double outrealmiddleband - double outreallowerband - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outrealupperband = NaN - outrealmiddleband = NaN - outreallowerband = NaN - retCode = lib.TA_ACCBANDS( (length) - 1 , (length) - 1 , high_data , low_data , close_data , timeperiod , &outbegidx , &outnbelement , &outrealupperband , &outrealmiddleband , &outreallowerband ) - _ta_check_success("TA_ACCBANDS", retCode) - return outrealupperband , outrealmiddleband , outreallowerband - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_ACOS( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_ACCBANDS_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_ACCBANDS_Stream* handle = NULL + cdef double outupperband + cdef double outmiddleband + cdef double outlowerband + cdef TA_RetCode retCode = TA_ACCBANDS_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outupperband, &outmiddleband, &outlowerband) + if retCode != 0: + _stream_open_failed("TA_ACCBANDS_Open", retCode, historylen, lib.TA_ACCBANDS_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_ACCBANDS_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_ACCBANDS_Lookback(timeperiod) + cdef np.ndarray outupperband = make_double_array(length, lookback) + cdef np.ndarray outmiddleband = make_double_array(length, lookback) + cdef np.ndarray outlowerband = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_ACCBANDS_Stream* handle = NULL + cdef TA_RetCode retCode = TA_ACCBANDS_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outupperband.data + lookback, outmiddleband.data + lookback, outlowerband.data + lookback) + if retCode != 0: + _stream_open_failed("TA_ACCBANDS_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef ACCBANDS_Stream stream = ACCBANDS_Stream.__new__(ACCBANDS_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, ACCBANDS_Value(_stream_like((high, low, close,), outupperband), _stream_like((high, low, close,), outmiddleband), _stream_like((high, low, close,), outlowerband)) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outupperband + cdef double outmiddleband + cdef double outlowerband + cdef TA_RetCode retCode = TA_ACCBANDS_Update(self._handle, high, low, close, &outupperband, &outmiddleband, &outlowerband) + if retCode != 0: + _ta_check_success("TA_ACCBANDS_Update", retCode) + return ACCBANDS_Value(outupperband, outmiddleband, outlowerband) + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outupperband + cdef double outmiddleband + cdef double outlowerband + cdef TA_RetCode retCode = TA_ACCBANDS_Peek(self._handle, high, low, close, &outupperband, &outmiddleband, &outlowerband) + if retCode != 0: + _ta_check_success("TA_ACCBANDS_Peek", retCode) + return ACCBANDS_Value(outupperband, outmiddleband, outlowerband) + + @property + def value(self): + cdef double outupperband + cdef double outmiddleband + cdef double outlowerband + cdef TA_RetCode retCode = TA_ACCBANDS_Value(self._handle, &outupperband, &outmiddleband, &outlowerband) + if retCode != 0: + _ta_check_success("TA_ACCBANDS_Value", retCode) + return ACCBANDS_Value(outupperband, outmiddleband, outlowerband) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_ACCBANDS_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_ACCBANDS_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_ACCBANDS_Stream* clone = NULL + cdef TA_RetCode retCode = TA_ACCBANDS_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_ACCBANDS_Clone", retCode) + cdef ACCBANDS_Stream stream = ACCBANDS_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class ACOS_Stream(Stream): """ ACOS(real) Vector Trigonometric ACos (Math Transform) @@ -93,24 +2765,91 @@ def stream_ACOS( np.ndarray real not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_ACOS( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_ACOS", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_AD( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , np.ndarray volume not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_ACOS_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_ACOS_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_ACOS_Open(&handle, a_real.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_ACOS_Open", retCode, historylen, lib.TA_ACOS_Lookback() + 1) + if self._handle is not NULL: + TA_ACOS_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_ACOS_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_ACOS_Stream* handle = NULL + cdef TA_RetCode retCode = TA_ACOS_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_ACOS_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef ACOS_Stream stream = ACOS_Stream.__new__(ACOS_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_ACOS_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_ACOS_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_ACOS_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_ACOS_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_ACOS_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_ACOS_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_ACOS_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_ACOS_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_ACOS_Stream* clone = NULL + cdef TA_RetCode retCode = TA_ACOS_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_ACOS_Clone", retCode) + cdef ACOS_Stream stream = ACOS_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class AD_Stream(Stream): """ AD(high, low, close, volume) Chaikin A/D Line (Volume Indicators) @@ -120,33 +2859,97 @@ def stream_AD( np.ndarray high not None , np.ndarray low not None , np.ndarray c Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - double* volume_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - volume = check_array(volume) - volume_data = volume.data - length = check_length4(high, low, close, volume) - outreal = NaN - retCode = lib.TA_AD( (length) - 1 , (length) - 1 , high_data , low_data , close_data , volume_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_AD", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_ADD( np.ndarray real0 not None , np.ndarray real1 not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_AD_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, volume): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_high, a_low, a_close, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_AD_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_AD_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, a_volume.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_AD_Open", retCode, historylen, lib.TA_AD_Lookback() + 1) + if self._handle is not NULL: + TA_AD_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, volume): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_high, a_low, a_close, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_AD_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_AD_Stream* handle = NULL + cdef TA_RetCode retCode = TA_AD_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, a_volume.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_AD_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef AD_Stream stream = AD_Stream.__new__(AD_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low, close, volume,), outreal) + + @cython.binding(False) + def update(self, double high, double low, double close, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_AD_Update(self._handle, high, low, close, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_AD_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low, double close, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_AD_Peek(self._handle, high, low, close, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_AD_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_AD_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_AD_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_AD_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_AD_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_AD_Stream* clone = NULL + cdef TA_RetCode retCode = TA_AD_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_AD_Clone", retCode) + cdef AD_Stream stream = AD_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class ADD_Stream(Stream): """ ADD(real0, real1) Vector Arithmetic Add (Math Operators) @@ -157,27 +2960,93 @@ def stream_ADD( np.ndarray real0 not None , np.ndarray real1 not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real0_data - double* real1_data - int outbegidx - int outnbelement - double outreal - real0 = check_array(real0) - real0_data = real0.data - real1 = check_array(real1) - real1_data = real1.data - length = check_length2(real0, real1) - outreal = NaN - retCode = lib.TA_ADD( (length) - 1 , (length) - 1 , real0_data , real1_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_ADD", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_ADOSC( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , np.ndarray volume not None , int fastperiod=-2**31 , int slowperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_ADD_Close(self._handle) + self._handle = NULL + + def __init__(self, real0, real1): + cdef np.ndarray a_real0 = _stream_input(real0) + cdef np.ndarray a_real1 = _stream_input(real1) + cdef tuple arrays = (a_real0, a_real1,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_ADD_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_ADD_Open(&handle, a_real0.data + begidx, a_real1.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_ADD_Open", retCode, historylen, lib.TA_ADD_Lookback() + 1) + if self._handle is not NULL: + TA_ADD_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real0, real1): + cdef np.ndarray a_real0 = _stream_input(real0) + cdef np.ndarray a_real1 = _stream_input(real1) + cdef tuple arrays = (a_real0, a_real1,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_ADD_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_ADD_Stream* handle = NULL + cdef TA_RetCode retCode = TA_ADD_OpenAndFill(&handle, a_real0.data + begidx, a_real1.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_ADD_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef ADD_Stream stream = ADD_Stream.__new__(ADD_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real0, real1,), outreal) + + @cython.binding(False) + def update(self, double real0, double real1): + cdef double outreal + cdef TA_RetCode retCode = TA_ADD_Update(self._handle, real0, real1, &outreal) + if retCode != 0: + _ta_check_success("TA_ADD_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real0, double real1): + cdef double outreal + cdef TA_RetCode retCode = TA_ADD_Peek(self._handle, real0, real1, &outreal) + if retCode != 0: + _ta_check_success("TA_ADD_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_ADD_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_ADD_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_ADD_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_ADD_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_ADD_Stream* clone = NULL + cdef TA_RetCode retCode = TA_ADD_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_ADD_Clone", retCode) + cdef ADD_Stream stream = ADD_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class ADOSC_Stream(Stream): """ ADOSC(high, low, close, volume[, fastperiod=?, slowperiod=?]) Chaikin A/D Oscillator (Volume Indicators) @@ -190,33 +3059,97 @@ def stream_ADOSC( np.ndarray high not None , np.ndarray low not None , np.ndarra Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - double* volume_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - volume = check_array(volume) - volume_data = volume.data - length = check_length4(high, low, close, volume) - outreal = NaN - retCode = lib.TA_ADOSC( (length) - 1 , (length) - 1 , high_data , low_data , close_data , volume_data , fastperiod , slowperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_ADOSC", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_ADR( np.ndarray high not None , np.ndarray low not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_ADOSC_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, volume, int fastperiod=-2**31, int slowperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_high, a_low, a_close, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_ADOSC_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_ADOSC_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, a_volume.data + begidx, historylen, fastperiod, slowperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_ADOSC_Open", retCode, historylen, lib.TA_ADOSC_Lookback(fastperiod, slowperiod) + 1) + if self._handle is not NULL: + TA_ADOSC_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, volume, int fastperiod=-2**31, int slowperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_high, a_low, a_close, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_ADOSC_Lookback(fastperiod, slowperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_ADOSC_Stream* handle = NULL + cdef TA_RetCode retCode = TA_ADOSC_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, a_volume.data + begidx, historylen, fastperiod, slowperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_ADOSC_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef ADOSC_Stream stream = ADOSC_Stream.__new__(ADOSC_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low, close, volume,), outreal) + + @cython.binding(False) + def update(self, double high, double low, double close, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_ADOSC_Update(self._handle, high, low, close, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_ADOSC_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low, double close, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_ADOSC_Peek(self._handle, high, low, close, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_ADOSC_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_ADOSC_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_ADOSC_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_ADOSC_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_ADOSC_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_ADOSC_Stream* clone = NULL + cdef TA_RetCode retCode = TA_ADOSC_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_ADOSC_Clone", retCode) + cdef ADOSC_Stream stream = ADOSC_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class ADR_Stream(Stream): """ ADR(high, low[, timeperiod=?]) Average Day Range (Volatility Indicators) @@ -228,27 +3161,93 @@ def stream_ADR( np.ndarray high not None , np.ndarray low not None , int timeper Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - length = check_length2(high, low) - outreal = NaN - retCode = lib.TA_ADR( (length) - 1 , (length) - 1 , high_data , low_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_ADR", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_ADX( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_ADR_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_ADR_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_ADR_Open(&handle, a_high.data + begidx, a_low.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_ADR_Open", retCode, historylen, lib.TA_ADR_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_ADR_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_ADR_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_ADR_Stream* handle = NULL + cdef TA_RetCode retCode = TA_ADR_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_ADR_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef ADR_Stream stream = ADR_Stream.__new__(ADR_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low,), outreal) + + @cython.binding(False) + def update(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_ADR_Update(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_ADR_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_ADR_Peek(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_ADR_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_ADR_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_ADR_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_ADR_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_ADR_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_ADR_Stream* clone = NULL + cdef TA_RetCode retCode = TA_ADR_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_ADR_Clone", retCode) + cdef ADR_Stream stream = ADR_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class ADX_Stream(Stream): """ ADX(high, low, close[, timeperiod=?]) Average Directional Movement Index (Momentum Indicators) @@ -260,30 +3259,95 @@ def stream_ADX( np.ndarray high not None , np.ndarray low not None , np.ndarray Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outreal = NaN - retCode = lib.TA_ADX( (length) - 1 , (length) - 1 , high_data , low_data , close_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_ADX", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_ADXR( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_ADX_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_ADX_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_ADX_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_ADX_Open", retCode, historylen, lib.TA_ADX_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_ADX_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_ADX_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_ADX_Stream* handle = NULL + cdef TA_RetCode retCode = TA_ADX_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_ADX_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef ADX_Stream stream = ADX_Stream.__new__(ADX_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low, close,), outreal) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_ADX_Update(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_ADX_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_ADX_Peek(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_ADX_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_ADX_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_ADX_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_ADX_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_ADX_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_ADX_Stream* clone = NULL + cdef TA_RetCode retCode = TA_ADX_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_ADX_Clone", retCode) + cdef ADX_Stream stream = ADX_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class ADXR_Stream(Stream): """ ADXR(high, low, close[, timeperiod=?]) Average Directional Movement Index Rating (Momentum Indicators) @@ -295,30 +3359,95 @@ def stream_ADXR( np.ndarray high not None , np.ndarray low not None , np.ndarray Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outreal = NaN - retCode = lib.TA_ADXR( (length) - 1 , (length) - 1 , high_data , low_data , close_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_ADXR", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_AO( np.ndarray high not None , np.ndarray low not None , int fastperiod=-2**31 , int slowperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_ADXR_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_ADXR_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_ADXR_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_ADXR_Open", retCode, historylen, lib.TA_ADXR_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_ADXR_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_ADXR_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_ADXR_Stream* handle = NULL + cdef TA_RetCode retCode = TA_ADXR_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_ADXR_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef ADXR_Stream stream = ADXR_Stream.__new__(ADXR_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low, close,), outreal) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_ADXR_Update(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_ADXR_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_ADXR_Peek(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_ADXR_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_ADXR_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_ADXR_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_ADXR_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_ADXR_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_ADXR_Stream* clone = NULL + cdef TA_RetCode retCode = TA_ADXR_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_ADXR_Clone", retCode) + cdef ADXR_Stream stream = ADXR_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class AO_Stream(Stream): """ AO(high, low[, fastperiod=?, slowperiod=?]) Awesome Oscillator (Momentum Indicators) @@ -331,27 +3460,93 @@ def stream_AO( np.ndarray high not None , np.ndarray low not None , int fastperi Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - length = check_length2(high, low) - outreal = NaN - retCode = lib.TA_AO( (length) - 1 , (length) - 1 , high_data , low_data , fastperiod , slowperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_AO", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_APO( np.ndarray real not None , int fastperiod=-2**31 , int slowperiod=-2**31 , int matype=1 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_AO_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, int fastperiod=-2**31, int slowperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_AO_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_AO_Open(&handle, a_high.data + begidx, a_low.data + begidx, historylen, fastperiod, slowperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_AO_Open", retCode, historylen, lib.TA_AO_Lookback(fastperiod, slowperiod) + 1) + if self._handle is not NULL: + TA_AO_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, int fastperiod=-2**31, int slowperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_AO_Lookback(fastperiod, slowperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_AO_Stream* handle = NULL + cdef TA_RetCode retCode = TA_AO_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, historylen, fastperiod, slowperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_AO_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef AO_Stream stream = AO_Stream.__new__(AO_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low,), outreal) + + @cython.binding(False) + def update(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_AO_Update(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_AO_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_AO_Peek(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_AO_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_AO_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_AO_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_AO_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_AO_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_AO_Stream* clone = NULL + cdef TA_RetCode retCode = TA_AO_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_AO_Clone", retCode) + cdef AO_Stream stream = AO_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class APO_Stream(Stream): """ APO(real[, fastperiod=?, slowperiod=?, matype=?]) Absolute Price Oscillator (Momentum Indicators) @@ -365,24 +3560,93 @@ def stream_APO( np.ndarray real not None , int fastperiod=-2**31 , int slowperio Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_APO( (length) - 1 , (length) - 1 , real_data , fastperiod , slowperiod , matype , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_APO", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_AROON( np.ndarray high not None , np.ndarray low not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_APO_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int fastperiod=-2**31, int slowperiod=-2**31, int matype=1): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_APO_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_APO_Open(&handle, a_real.data + begidx, historylen, fastperiod, slowperiod, matype, &outreal) + if retCode != 0: + _stream_open_failed("TA_APO_Open", retCode, historylen, lib.TA_APO_Lookback(fastperiod, slowperiod, matype) + 1) + if self._handle is not NULL: + TA_APO_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int fastperiod=-2**31, int slowperiod=-2**31, int matype=1): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_APO_Lookback(fastperiod, slowperiod, matype) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_APO_Stream* handle = NULL + cdef TA_RetCode retCode = TA_APO_OpenAndFill(&handle, a_real.data + begidx, historylen, fastperiod, slowperiod, matype, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_APO_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef APO_Stream stream = APO_Stream.__new__(APO_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_APO_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_APO_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_APO_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_APO_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_APO_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_APO_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_APO_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_APO_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_APO_Stream* clone = NULL + cdef TA_RetCode retCode = TA_APO_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_APO_Clone", retCode) + cdef APO_Stream stream = APO_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +AROON_Value = namedtuple("AROON_Value", "aroondown aroonup", module=__name__) + +cdef class AROON_Stream(Stream): """ AROON(high, low[, timeperiod=?]) Aroon (Momentum Indicators) @@ -395,29 +3659,98 @@ def stream_AROON( np.ndarray high not None , np.ndarray low not None , int timep aroondown aroonup """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - int outbegidx - int outnbelement - double outaroondown - double outaroonup - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - length = check_length2(high, low) - outaroondown = NaN - outaroonup = NaN - retCode = lib.TA_AROON( (length) - 1 , (length) - 1 , high_data , low_data , timeperiod , &outbegidx , &outnbelement , &outaroondown , &outaroonup ) - _ta_check_success("TA_AROON", retCode) - return outaroondown , outaroonup - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_AROONOSC( np.ndarray high not None , np.ndarray low not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_AROON_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_AROON_Stream* handle = NULL + cdef double outaroondown + cdef double outaroonup + cdef TA_RetCode retCode = TA_AROON_Open(&handle, a_high.data + begidx, a_low.data + begidx, historylen, timeperiod, &outaroondown, &outaroonup) + if retCode != 0: + _stream_open_failed("TA_AROON_Open", retCode, historylen, lib.TA_AROON_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_AROON_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_AROON_Lookback(timeperiod) + cdef np.ndarray outaroondown = make_double_array(length, lookback) + cdef np.ndarray outaroonup = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_AROON_Stream* handle = NULL + cdef TA_RetCode retCode = TA_AROON_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outaroondown.data + lookback, outaroonup.data + lookback) + if retCode != 0: + _stream_open_failed("TA_AROON_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef AROON_Stream stream = AROON_Stream.__new__(AROON_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, AROON_Value(_stream_like((high, low,), outaroondown), _stream_like((high, low,), outaroonup)) + + @cython.binding(False) + def update(self, double high, double low): + cdef double outaroondown + cdef double outaroonup + cdef TA_RetCode retCode = TA_AROON_Update(self._handle, high, low, &outaroondown, &outaroonup) + if retCode != 0: + _ta_check_success("TA_AROON_Update", retCode) + return AROON_Value(outaroondown, outaroonup) + + @cython.binding(False) + def peek(self, double high, double low): + cdef double outaroondown + cdef double outaroonup + cdef TA_RetCode retCode = TA_AROON_Peek(self._handle, high, low, &outaroondown, &outaroonup) + if retCode != 0: + _ta_check_success("TA_AROON_Peek", retCode) + return AROON_Value(outaroondown, outaroonup) + + @property + def value(self): + cdef double outaroondown + cdef double outaroonup + cdef TA_RetCode retCode = TA_AROON_Value(self._handle, &outaroondown, &outaroonup) + if retCode != 0: + _ta_check_success("TA_AROON_Value", retCode) + return AROON_Value(outaroondown, outaroonup) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_AROON_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_AROON_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_AROON_Stream* clone = NULL + cdef TA_RetCode retCode = TA_AROON_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_AROON_Clone", retCode) + cdef AROON_Stream stream = AROON_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class AROONOSC_Stream(Stream): """ AROONOSC(high, low[, timeperiod=?]) Aroon Oscillator (Momentum Indicators) @@ -429,27 +3762,93 @@ def stream_AROONOSC( np.ndarray high not None , np.ndarray low not None , int ti Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - length = check_length2(high, low) - outreal = NaN - retCode = lib.TA_AROONOSC( (length) - 1 , (length) - 1 , high_data , low_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_AROONOSC", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_ASIN( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_AROONOSC_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_AROONOSC_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_AROONOSC_Open(&handle, a_high.data + begidx, a_low.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_AROONOSC_Open", retCode, historylen, lib.TA_AROONOSC_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_AROONOSC_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_AROONOSC_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_AROONOSC_Stream* handle = NULL + cdef TA_RetCode retCode = TA_AROONOSC_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_AROONOSC_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef AROONOSC_Stream stream = AROONOSC_Stream.__new__(AROONOSC_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low,), outreal) + + @cython.binding(False) + def update(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_AROONOSC_Update(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_AROONOSC_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_AROONOSC_Peek(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_AROONOSC_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_AROONOSC_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_AROONOSC_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_AROONOSC_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_AROONOSC_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_AROONOSC_Stream* clone = NULL + cdef TA_RetCode retCode = TA_AROONOSC_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_AROONOSC_Clone", retCode) + cdef AROONOSC_Stream stream = AROONOSC_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class ASIN_Stream(Stream): """ ASIN(real) Vector Trigonometric ASin (Math Transform) @@ -459,24 +3858,91 @@ def stream_ASIN( np.ndarray real not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_ASIN( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_ASIN", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_ATAN( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_ASIN_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_ASIN_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_ASIN_Open(&handle, a_real.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_ASIN_Open", retCode, historylen, lib.TA_ASIN_Lookback() + 1) + if self._handle is not NULL: + TA_ASIN_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_ASIN_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_ASIN_Stream* handle = NULL + cdef TA_RetCode retCode = TA_ASIN_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_ASIN_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef ASIN_Stream stream = ASIN_Stream.__new__(ASIN_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_ASIN_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_ASIN_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_ASIN_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_ASIN_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_ASIN_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_ASIN_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_ASIN_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_ASIN_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_ASIN_Stream* clone = NULL + cdef TA_RetCode retCode = TA_ASIN_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_ASIN_Clone", retCode) + cdef ASIN_Stream stream = ASIN_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class ATAN_Stream(Stream): """ ATAN(real) Vector Trigonometric ATan (Math Transform) @@ -486,24 +3952,91 @@ def stream_ATAN( np.ndarray real not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_ATAN( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_ATAN", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_ATR( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_ATAN_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_ATAN_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_ATAN_Open(&handle, a_real.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_ATAN_Open", retCode, historylen, lib.TA_ATAN_Lookback() + 1) + if self._handle is not NULL: + TA_ATAN_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_ATAN_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_ATAN_Stream* handle = NULL + cdef TA_RetCode retCode = TA_ATAN_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_ATAN_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef ATAN_Stream stream = ATAN_Stream.__new__(ATAN_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_ATAN_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_ATAN_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_ATAN_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_ATAN_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_ATAN_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_ATAN_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_ATAN_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_ATAN_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_ATAN_Stream* clone = NULL + cdef TA_RetCode retCode = TA_ATAN_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_ATAN_Clone", retCode) + cdef ATAN_Stream stream = ATAN_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class ATR_Stream(Stream): """ ATR(high, low, close[, timeperiod=?]) Average True Range (Volatility Indicators) @@ -515,30 +4048,95 @@ def stream_ATR( np.ndarray high not None , np.ndarray low not None , np.ndarray Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outreal = NaN - retCode = lib.TA_ATR( (length) - 1 , (length) - 1 , high_data , low_data , close_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_ATR", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_AVGDEV( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_ATR_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_ATR_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_ATR_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_ATR_Open", retCode, historylen, lib.TA_ATR_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_ATR_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_ATR_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_ATR_Stream* handle = NULL + cdef TA_RetCode retCode = TA_ATR_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_ATR_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef ATR_Stream stream = ATR_Stream.__new__(ATR_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low, close,), outreal) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_ATR_Update(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_ATR_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_ATR_Peek(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_ATR_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_ATR_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_ATR_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_ATR_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_ATR_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_ATR_Stream* clone = NULL + cdef TA_RetCode retCode = TA_ATR_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_ATR_Clone", retCode) + cdef ATR_Stream stream = ATR_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class AVGDEV_Stream(Stream): """ AVGDEV(real[, timeperiod=?]) Average Deviation (Price Transform) @@ -550,24 +4148,91 @@ def stream_AVGDEV( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_AVGDEV( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_AVGDEV", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_AVGPRICE( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_AVGDEV_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_AVGDEV_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_AVGDEV_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_AVGDEV_Open", retCode, historylen, lib.TA_AVGDEV_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_AVGDEV_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_AVGDEV_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_AVGDEV_Stream* handle = NULL + cdef TA_RetCode retCode = TA_AVGDEV_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_AVGDEV_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef AVGDEV_Stream stream = AVGDEV_Stream.__new__(AVGDEV_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_AVGDEV_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_AVGDEV_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_AVGDEV_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_AVGDEV_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_AVGDEV_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_AVGDEV_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_AVGDEV_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_AVGDEV_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_AVGDEV_Stream* clone = NULL + cdef TA_RetCode retCode = TA_AVGDEV_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_AVGDEV_Clone", retCode) + cdef AVGDEV_Stream stream = AVGDEV_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class AVGPRICE_Stream(Stream): """ AVGPRICE(open, high, low, close) Average Price (Price Transform) @@ -577,33 +4242,99 @@ def stream_AVGPRICE( np.ndarray open not None , np.ndarray high not None , np.nd Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outreal - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outreal = NaN - retCode = lib.TA_AVGPRICE( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_AVGPRICE", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_BBANDS( np.ndarray real not None , int timeperiod=-2**31 , double nbdevup=-4e37 , double nbdevdn=-4e37 , int matype=0 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_AVGPRICE_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_AVGPRICE_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_AVGPRICE_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_AVGPRICE_Open", retCode, historylen, lib.TA_AVGPRICE_Lookback() + 1) + if self._handle is not NULL: + TA_AVGPRICE_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_AVGPRICE_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_AVGPRICE_Stream* handle = NULL + cdef TA_RetCode retCode = TA_AVGPRICE_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_AVGPRICE_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef AVGPRICE_Stream stream = AVGPRICE_Stream.__new__(AVGPRICE_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outreal) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_AVGPRICE_Update(self._handle, open, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_AVGPRICE_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_AVGPRICE_Peek(self._handle, open, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_AVGPRICE_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_AVGPRICE_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_AVGPRICE_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_AVGPRICE_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_AVGPRICE_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_AVGPRICE_Stream* clone = NULL + cdef TA_RetCode retCode = TA_AVGPRICE_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_AVGPRICE_Clone", retCode) + cdef AVGPRICE_Stream stream = AVGPRICE_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +BBANDS_Value = namedtuple("BBANDS_Value", "upperband middleband lowerband", module=__name__) + +cdef class BBANDS_Stream(Stream): """ BBANDS(real[, timeperiod=?, nbdevup=?, nbdevdn=?, matype=?]) Bollinger Bands (Overlap Studies) @@ -620,28 +4351,101 @@ def stream_BBANDS( np.ndarray real not None , int timeperiod=-2**31 , double nbd middleband lowerband """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outrealupperband - double outrealmiddleband - double outreallowerband - real = check_array(real) - real_data = real.data - length = real.shape[0] - outrealupperband = NaN - outrealmiddleband = NaN - outreallowerband = NaN - retCode = lib.TA_BBANDS( (length) - 1 , (length) - 1 , real_data , timeperiod , nbdevup , nbdevdn , matype , &outbegidx , &outnbelement , &outrealupperband , &outrealmiddleband , &outreallowerband ) - _ta_check_success("TA_BBANDS", retCode) - return outrealupperband , outrealmiddleband , outreallowerband - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_BETA( np.ndarray real0 not None , np.ndarray real1 not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_BBANDS_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31, double nbdevup=-4e37, double nbdevdn=-4e37, int matype=0): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_BBANDS_Stream* handle = NULL + cdef double outupperband + cdef double outmiddleband + cdef double outlowerband + cdef TA_RetCode retCode = TA_BBANDS_Open(&handle, a_real.data + begidx, historylen, timeperiod, nbdevup, nbdevdn, matype, &outupperband, &outmiddleband, &outlowerband) + if retCode != 0: + _stream_open_failed("TA_BBANDS_Open", retCode, historylen, lib.TA_BBANDS_Lookback(timeperiod, nbdevup, nbdevdn, matype) + 1) + if self._handle is not NULL: + TA_BBANDS_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31, double nbdevup=-4e37, double nbdevdn=-4e37, int matype=0): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_BBANDS_Lookback(timeperiod, nbdevup, nbdevdn, matype) + cdef np.ndarray outupperband = make_double_array(length, lookback) + cdef np.ndarray outmiddleband = make_double_array(length, lookback) + cdef np.ndarray outlowerband = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_BBANDS_Stream* handle = NULL + cdef TA_RetCode retCode = TA_BBANDS_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, nbdevup, nbdevdn, matype, &outbegidx, &outnbelement, outupperband.data + lookback, outmiddleband.data + lookback, outlowerband.data + lookback) + if retCode != 0: + _stream_open_failed("TA_BBANDS_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef BBANDS_Stream stream = BBANDS_Stream.__new__(BBANDS_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, BBANDS_Value(_stream_like((real,), outupperband), _stream_like((real,), outmiddleband), _stream_like((real,), outlowerband)) + + @cython.binding(False) + def update(self, double real): + cdef double outupperband + cdef double outmiddleband + cdef double outlowerband + cdef TA_RetCode retCode = TA_BBANDS_Update(self._handle, real, &outupperband, &outmiddleband, &outlowerband) + if retCode != 0: + _ta_check_success("TA_BBANDS_Update", retCode) + return BBANDS_Value(outupperband, outmiddleband, outlowerband) + + @cython.binding(False) + def peek(self, double real): + cdef double outupperband + cdef double outmiddleband + cdef double outlowerband + cdef TA_RetCode retCode = TA_BBANDS_Peek(self._handle, real, &outupperband, &outmiddleband, &outlowerband) + if retCode != 0: + _ta_check_success("TA_BBANDS_Peek", retCode) + return BBANDS_Value(outupperband, outmiddleband, outlowerband) + + @property + def value(self): + cdef double outupperband + cdef double outmiddleband + cdef double outlowerband + cdef TA_RetCode retCode = TA_BBANDS_Value(self._handle, &outupperband, &outmiddleband, &outlowerband) + if retCode != 0: + _ta_check_success("TA_BBANDS_Value", retCode) + return BBANDS_Value(outupperband, outmiddleband, outlowerband) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_BBANDS_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_BBANDS_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_BBANDS_Stream* clone = NULL + cdef TA_RetCode retCode = TA_BBANDS_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_BBANDS_Clone", retCode) + cdef BBANDS_Stream stream = BBANDS_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class BETA_Stream(Stream): """ BETA(real0, real1[, timeperiod=?]) Beta (Statistic Functions) @@ -654,27 +4458,93 @@ def stream_BETA( np.ndarray real0 not None , np.ndarray real1 not None , int tim Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real0_data - double* real1_data - int outbegidx - int outnbelement - double outreal - real0 = check_array(real0) - real0_data = real0.data - real1 = check_array(real1) - real1_data = real1.data - length = check_length2(real0, real1) - outreal = NaN - retCode = lib.TA_BETA( (length) - 1 , (length) - 1 , real0_data , real1_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_BETA", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_BOP( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_BETA_Close(self._handle) + self._handle = NULL + + def __init__(self, real0, real1, int timeperiod=-2**31): + cdef np.ndarray a_real0 = _stream_input(real0) + cdef np.ndarray a_real1 = _stream_input(real1) + cdef tuple arrays = (a_real0, a_real1,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_BETA_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_BETA_Open(&handle, a_real0.data + begidx, a_real1.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_BETA_Open", retCode, historylen, lib.TA_BETA_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_BETA_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real0, real1, int timeperiod=-2**31): + cdef np.ndarray a_real0 = _stream_input(real0) + cdef np.ndarray a_real1 = _stream_input(real1) + cdef tuple arrays = (a_real0, a_real1,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_BETA_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_BETA_Stream* handle = NULL + cdef TA_RetCode retCode = TA_BETA_OpenAndFill(&handle, a_real0.data + begidx, a_real1.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_BETA_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef BETA_Stream stream = BETA_Stream.__new__(BETA_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real0, real1,), outreal) + + @cython.binding(False) + def update(self, double real0, double real1): + cdef double outreal + cdef TA_RetCode retCode = TA_BETA_Update(self._handle, real0, real1, &outreal) + if retCode != 0: + _ta_check_success("TA_BETA_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real0, double real1): + cdef double outreal + cdef TA_RetCode retCode = TA_BETA_Peek(self._handle, real0, real1, &outreal) + if retCode != 0: + _ta_check_success("TA_BETA_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_BETA_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_BETA_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_BETA_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_BETA_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_BETA_Stream* clone = NULL + cdef TA_RetCode retCode = TA_BETA_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_BETA_Clone", retCode) + cdef BETA_Stream stream = BETA_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class BOP_Stream(Stream): """ BOP(open, high, low, close) Balance Of Power (Momentum Indicators) @@ -684,33 +4554,97 @@ def stream_BOP( np.ndarray open not None , np.ndarray high not None , np.ndarray Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outreal - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outreal = NaN - retCode = lib.TA_BOP( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_BOP", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CCI( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_BOP_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_BOP_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_BOP_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_BOP_Open", retCode, historylen, lib.TA_BOP_Lookback() + 1) + if self._handle is not NULL: + TA_BOP_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_BOP_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_BOP_Stream* handle = NULL + cdef TA_RetCode retCode = TA_BOP_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_BOP_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef BOP_Stream stream = BOP_Stream.__new__(BOP_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outreal) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_BOP_Update(self._handle, open, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_BOP_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_BOP_Peek(self._handle, open, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_BOP_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_BOP_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_BOP_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_BOP_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_BOP_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_BOP_Stream* clone = NULL + cdef TA_RetCode retCode = TA_BOP_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_BOP_Clone", retCode) + cdef BOP_Stream stream = BOP_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CCI_Stream(Stream): """ CCI(high, low, close[, timeperiod=?]) Commodity Channel Index (Momentum Indicators) @@ -722,30 +4656,95 @@ def stream_CCI( np.ndarray high not None , np.ndarray low not None , np.ndarray Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outreal = NaN - retCode = lib.TA_CCI( (length) - 1 , (length) - 1 , high_data , low_data , close_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_CCI", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDL2CROWS( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CCI_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CCI_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_CCI_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_CCI_Open", retCode, historylen, lib.TA_CCI_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_CCI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CCI_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CCI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CCI_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CCI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CCI_Stream stream = CCI_Stream.__new__(CCI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low, close,), outreal) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_CCI_Update(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_CCI_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_CCI_Peek(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_CCI_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_CCI_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_CCI_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CCI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CCI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CCI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CCI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CCI_Clone", retCode) + cdef CCI_Stream stream = CCI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDL2CROWS_Stream(Stream): """ CDL2CROWS(open, high, low, close) Two Crows (Pattern Recognition) @@ -755,33 +4754,97 @@ def stream_CDL2CROWS( np.ndarray open not None , np.ndarray high not None , np.n Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDL2CROWS( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDL2CROWS", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDL3BLACKCROWS( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDL2CROWS_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDL2CROWS_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL2CROWS_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDL2CROWS_Open", retCode, historylen, lib.TA_CDL2CROWS_Lookback() + 1) + if self._handle is not NULL: + TA_CDL2CROWS_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDL2CROWS_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDL2CROWS_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDL2CROWS_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDL2CROWS_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDL2CROWS_Stream stream = CDL2CROWS_Stream.__new__(CDL2CROWS_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL2CROWS_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDL2CROWS_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL2CROWS_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDL2CROWS_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL2CROWS_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDL2CROWS_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDL2CROWS_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDL2CROWS_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDL2CROWS_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDL2CROWS_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDL2CROWS_Clone", retCode) + cdef CDL2CROWS_Stream stream = CDL2CROWS_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDL3BLACKCROWS_Stream(Stream): """ CDL3BLACKCROWS(open, high, low, close) Three Black Crows (Pattern Recognition) @@ -791,33 +4854,97 @@ def stream_CDL3BLACKCROWS( np.ndarray open not None , np.ndarray high not None , Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDL3BLACKCROWS( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDL3BLACKCROWS", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDL3INSIDE( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDL3BLACKCROWS_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDL3BLACKCROWS_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3BLACKCROWS_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDL3BLACKCROWS_Open", retCode, historylen, lib.TA_CDL3BLACKCROWS_Lookback() + 1) + if self._handle is not NULL: + TA_CDL3BLACKCROWS_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDL3BLACKCROWS_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDL3BLACKCROWS_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDL3BLACKCROWS_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDL3BLACKCROWS_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDL3BLACKCROWS_Stream stream = CDL3BLACKCROWS_Stream.__new__(CDL3BLACKCROWS_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3BLACKCROWS_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDL3BLACKCROWS_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3BLACKCROWS_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDL3BLACKCROWS_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3BLACKCROWS_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDL3BLACKCROWS_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDL3BLACKCROWS_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDL3BLACKCROWS_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDL3BLACKCROWS_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDL3BLACKCROWS_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDL3BLACKCROWS_Clone", retCode) + cdef CDL3BLACKCROWS_Stream stream = CDL3BLACKCROWS_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDL3INSIDE_Stream(Stream): """ CDL3INSIDE(open, high, low, close) Three Inside Up/Down (Pattern Recognition) @@ -827,33 +4954,97 @@ def stream_CDL3INSIDE( np.ndarray open not None , np.ndarray high not None , np. Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDL3INSIDE( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDL3INSIDE", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDL3LINESTRIKE( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDL3INSIDE_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDL3INSIDE_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3INSIDE_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDL3INSIDE_Open", retCode, historylen, lib.TA_CDL3INSIDE_Lookback() + 1) + if self._handle is not NULL: + TA_CDL3INSIDE_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDL3INSIDE_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDL3INSIDE_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDL3INSIDE_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDL3INSIDE_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDL3INSIDE_Stream stream = CDL3INSIDE_Stream.__new__(CDL3INSIDE_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3INSIDE_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDL3INSIDE_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3INSIDE_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDL3INSIDE_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3INSIDE_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDL3INSIDE_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDL3INSIDE_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDL3INSIDE_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDL3INSIDE_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDL3INSIDE_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDL3INSIDE_Clone", retCode) + cdef CDL3INSIDE_Stream stream = CDL3INSIDE_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDL3LINESTRIKE_Stream(Stream): """ CDL3LINESTRIKE(open, high, low, close) Three-Line Strike (Pattern Recognition) @@ -863,33 +5054,97 @@ def stream_CDL3LINESTRIKE( np.ndarray open not None , np.ndarray high not None , Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDL3LINESTRIKE( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDL3LINESTRIKE", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDL3OUTSIDE( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDL3LINESTRIKE_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDL3LINESTRIKE_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3LINESTRIKE_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDL3LINESTRIKE_Open", retCode, historylen, lib.TA_CDL3LINESTRIKE_Lookback() + 1) + if self._handle is not NULL: + TA_CDL3LINESTRIKE_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDL3LINESTRIKE_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDL3LINESTRIKE_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDL3LINESTRIKE_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDL3LINESTRIKE_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDL3LINESTRIKE_Stream stream = CDL3LINESTRIKE_Stream.__new__(CDL3LINESTRIKE_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3LINESTRIKE_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDL3LINESTRIKE_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3LINESTRIKE_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDL3LINESTRIKE_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3LINESTRIKE_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDL3LINESTRIKE_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDL3LINESTRIKE_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDL3LINESTRIKE_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDL3LINESTRIKE_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDL3LINESTRIKE_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDL3LINESTRIKE_Clone", retCode) + cdef CDL3LINESTRIKE_Stream stream = CDL3LINESTRIKE_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDL3OUTSIDE_Stream(Stream): """ CDL3OUTSIDE(open, high, low, close) Three Outside Up/Down (Pattern Recognition) @@ -899,33 +5154,97 @@ def stream_CDL3OUTSIDE( np.ndarray open not None , np.ndarray high not None , np Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDL3OUTSIDE( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDL3OUTSIDE", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDL3STARSINSOUTH( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDL3OUTSIDE_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDL3OUTSIDE_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3OUTSIDE_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDL3OUTSIDE_Open", retCode, historylen, lib.TA_CDL3OUTSIDE_Lookback() + 1) + if self._handle is not NULL: + TA_CDL3OUTSIDE_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDL3OUTSIDE_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDL3OUTSIDE_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDL3OUTSIDE_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDL3OUTSIDE_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDL3OUTSIDE_Stream stream = CDL3OUTSIDE_Stream.__new__(CDL3OUTSIDE_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3OUTSIDE_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDL3OUTSIDE_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3OUTSIDE_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDL3OUTSIDE_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3OUTSIDE_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDL3OUTSIDE_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDL3OUTSIDE_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDL3OUTSIDE_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDL3OUTSIDE_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDL3OUTSIDE_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDL3OUTSIDE_Clone", retCode) + cdef CDL3OUTSIDE_Stream stream = CDL3OUTSIDE_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDL3STARSINSOUTH_Stream(Stream): """ CDL3STARSINSOUTH(open, high, low, close) Three Stars In The South (Pattern Recognition) @@ -935,33 +5254,97 @@ def stream_CDL3STARSINSOUTH( np.ndarray open not None , np.ndarray high not None Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDL3STARSINSOUTH( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDL3STARSINSOUTH", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDL3WHITESOLDIERS( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDL3STARSINSOUTH_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDL3STARSINSOUTH_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3STARSINSOUTH_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDL3STARSINSOUTH_Open", retCode, historylen, lib.TA_CDL3STARSINSOUTH_Lookback() + 1) + if self._handle is not NULL: + TA_CDL3STARSINSOUTH_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDL3STARSINSOUTH_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDL3STARSINSOUTH_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDL3STARSINSOUTH_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDL3STARSINSOUTH_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDL3STARSINSOUTH_Stream stream = CDL3STARSINSOUTH_Stream.__new__(CDL3STARSINSOUTH_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3STARSINSOUTH_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDL3STARSINSOUTH_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3STARSINSOUTH_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDL3STARSINSOUTH_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3STARSINSOUTH_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDL3STARSINSOUTH_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDL3STARSINSOUTH_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDL3STARSINSOUTH_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDL3STARSINSOUTH_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDL3STARSINSOUTH_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDL3STARSINSOUTH_Clone", retCode) + cdef CDL3STARSINSOUTH_Stream stream = CDL3STARSINSOUTH_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDL3WHITESOLDIERS_Stream(Stream): """ CDL3WHITESOLDIERS(open, high, low, close) Three Advancing White Soldiers (Pattern Recognition) @@ -971,33 +5354,97 @@ def stream_CDL3WHITESOLDIERS( np.ndarray open not None , np.ndarray high not Non Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDL3WHITESOLDIERS( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDL3WHITESOLDIERS", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLABANDONEDBABY( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , double penetration=0.3 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDL3WHITESOLDIERS_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDL3WHITESOLDIERS_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3WHITESOLDIERS_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDL3WHITESOLDIERS_Open", retCode, historylen, lib.TA_CDL3WHITESOLDIERS_Lookback() + 1) + if self._handle is not NULL: + TA_CDL3WHITESOLDIERS_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDL3WHITESOLDIERS_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDL3WHITESOLDIERS_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDL3WHITESOLDIERS_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDL3WHITESOLDIERS_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDL3WHITESOLDIERS_Stream stream = CDL3WHITESOLDIERS_Stream.__new__(CDL3WHITESOLDIERS_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3WHITESOLDIERS_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDL3WHITESOLDIERS_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3WHITESOLDIERS_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDL3WHITESOLDIERS_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDL3WHITESOLDIERS_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDL3WHITESOLDIERS_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDL3WHITESOLDIERS_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDL3WHITESOLDIERS_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDL3WHITESOLDIERS_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDL3WHITESOLDIERS_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDL3WHITESOLDIERS_Clone", retCode) + cdef CDL3WHITESOLDIERS_Stream stream = CDL3WHITESOLDIERS_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLABANDONEDBABY_Stream(Stream): """ CDLABANDONEDBABY(open, high, low, close[, penetration=?]) Abandoned Baby (Pattern Recognition) @@ -1009,33 +5456,97 @@ def stream_CDLABANDONEDBABY( np.ndarray open not None , np.ndarray high not None Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLABANDONEDBABY( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , penetration , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLABANDONEDBABY", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLADVANCEBLOCK( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLABANDONEDBABY_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close, double penetration=0.3): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLABANDONEDBABY_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLABANDONEDBABY_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, penetration, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLABANDONEDBABY_Open", retCode, historylen, lib.TA_CDLABANDONEDBABY_Lookback(penetration) + 1) + if self._handle is not NULL: + TA_CDLABANDONEDBABY_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close, double penetration=0.3): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLABANDONEDBABY_Lookback(penetration) + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLABANDONEDBABY_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLABANDONEDBABY_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, penetration, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLABANDONEDBABY_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLABANDONEDBABY_Stream stream = CDLABANDONEDBABY_Stream.__new__(CDLABANDONEDBABY_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLABANDONEDBABY_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLABANDONEDBABY_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLABANDONEDBABY_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLABANDONEDBABY_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLABANDONEDBABY_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLABANDONEDBABY_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLABANDONEDBABY_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLABANDONEDBABY_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLABANDONEDBABY_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLABANDONEDBABY_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLABANDONEDBABY_Clone", retCode) + cdef CDLABANDONEDBABY_Stream stream = CDLABANDONEDBABY_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLADVANCEBLOCK_Stream(Stream): """ CDLADVANCEBLOCK(open, high, low, close) Advance Block (Pattern Recognition) @@ -1045,33 +5556,97 @@ def stream_CDLADVANCEBLOCK( np.ndarray open not None , np.ndarray high not None Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLADVANCEBLOCK( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLADVANCEBLOCK", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLBELTHOLD( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLADVANCEBLOCK_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLADVANCEBLOCK_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLADVANCEBLOCK_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLADVANCEBLOCK_Open", retCode, historylen, lib.TA_CDLADVANCEBLOCK_Lookback() + 1) + if self._handle is not NULL: + TA_CDLADVANCEBLOCK_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLADVANCEBLOCK_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLADVANCEBLOCK_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLADVANCEBLOCK_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLADVANCEBLOCK_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLADVANCEBLOCK_Stream stream = CDLADVANCEBLOCK_Stream.__new__(CDLADVANCEBLOCK_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLADVANCEBLOCK_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLADVANCEBLOCK_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLADVANCEBLOCK_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLADVANCEBLOCK_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLADVANCEBLOCK_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLADVANCEBLOCK_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLADVANCEBLOCK_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLADVANCEBLOCK_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLADVANCEBLOCK_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLADVANCEBLOCK_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLADVANCEBLOCK_Clone", retCode) + cdef CDLADVANCEBLOCK_Stream stream = CDLADVANCEBLOCK_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLBELTHOLD_Stream(Stream): """ CDLBELTHOLD(open, high, low, close) Belt-hold (Pattern Recognition) @@ -1081,33 +5656,97 @@ def stream_CDLBELTHOLD( np.ndarray open not None , np.ndarray high not None , np Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLBELTHOLD( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLBELTHOLD", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLBREAKAWAY( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLBELTHOLD_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLBELTHOLD_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLBELTHOLD_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLBELTHOLD_Open", retCode, historylen, lib.TA_CDLBELTHOLD_Lookback() + 1) + if self._handle is not NULL: + TA_CDLBELTHOLD_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLBELTHOLD_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLBELTHOLD_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLBELTHOLD_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLBELTHOLD_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLBELTHOLD_Stream stream = CDLBELTHOLD_Stream.__new__(CDLBELTHOLD_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLBELTHOLD_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLBELTHOLD_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLBELTHOLD_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLBELTHOLD_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLBELTHOLD_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLBELTHOLD_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLBELTHOLD_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLBELTHOLD_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLBELTHOLD_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLBELTHOLD_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLBELTHOLD_Clone", retCode) + cdef CDLBELTHOLD_Stream stream = CDLBELTHOLD_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLBREAKAWAY_Stream(Stream): """ CDLBREAKAWAY(open, high, low, close) Breakaway (Pattern Recognition) @@ -1117,33 +5756,97 @@ def stream_CDLBREAKAWAY( np.ndarray open not None , np.ndarray high not None , n Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLBREAKAWAY( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLBREAKAWAY", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLCLOSINGMARUBOZU( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLBREAKAWAY_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLBREAKAWAY_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLBREAKAWAY_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLBREAKAWAY_Open", retCode, historylen, lib.TA_CDLBREAKAWAY_Lookback() + 1) + if self._handle is not NULL: + TA_CDLBREAKAWAY_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLBREAKAWAY_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLBREAKAWAY_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLBREAKAWAY_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLBREAKAWAY_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLBREAKAWAY_Stream stream = CDLBREAKAWAY_Stream.__new__(CDLBREAKAWAY_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLBREAKAWAY_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLBREAKAWAY_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLBREAKAWAY_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLBREAKAWAY_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLBREAKAWAY_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLBREAKAWAY_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLBREAKAWAY_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLBREAKAWAY_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLBREAKAWAY_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLBREAKAWAY_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLBREAKAWAY_Clone", retCode) + cdef CDLBREAKAWAY_Stream stream = CDLBREAKAWAY_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLCLOSINGMARUBOZU_Stream(Stream): """ CDLCLOSINGMARUBOZU(open, high, low, close) Closing Marubozu (Pattern Recognition) @@ -1153,33 +5856,97 @@ def stream_CDLCLOSINGMARUBOZU( np.ndarray open not None , np.ndarray high not No Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLCLOSINGMARUBOZU( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLCLOSINGMARUBOZU", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLCONCEALBABYSWALL( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLCLOSINGMARUBOZU_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLCLOSINGMARUBOZU_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLCLOSINGMARUBOZU_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLCLOSINGMARUBOZU_Open", retCode, historylen, lib.TA_CDLCLOSINGMARUBOZU_Lookback() + 1) + if self._handle is not NULL: + TA_CDLCLOSINGMARUBOZU_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLCLOSINGMARUBOZU_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLCLOSINGMARUBOZU_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLCLOSINGMARUBOZU_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLCLOSINGMARUBOZU_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLCLOSINGMARUBOZU_Stream stream = CDLCLOSINGMARUBOZU_Stream.__new__(CDLCLOSINGMARUBOZU_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLCLOSINGMARUBOZU_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLCLOSINGMARUBOZU_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLCLOSINGMARUBOZU_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLCLOSINGMARUBOZU_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLCLOSINGMARUBOZU_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLCLOSINGMARUBOZU_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLCLOSINGMARUBOZU_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLCLOSINGMARUBOZU_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLCLOSINGMARUBOZU_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLCLOSINGMARUBOZU_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLCLOSINGMARUBOZU_Clone", retCode) + cdef CDLCLOSINGMARUBOZU_Stream stream = CDLCLOSINGMARUBOZU_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLCONCEALBABYSWALL_Stream(Stream): """ CDLCONCEALBABYSWALL(open, high, low, close) Concealing Baby Swallow (Pattern Recognition) @@ -1189,33 +5956,97 @@ def stream_CDLCONCEALBABYSWALL( np.ndarray open not None , np.ndarray high not N Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLCONCEALBABYSWALL( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLCONCEALBABYSWALL", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLCOUNTERATTACK( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLCONCEALBABYSWALL_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLCONCEALBABYSWALL_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLCONCEALBABYSWALL_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLCONCEALBABYSWALL_Open", retCode, historylen, lib.TA_CDLCONCEALBABYSWALL_Lookback() + 1) + if self._handle is not NULL: + TA_CDLCONCEALBABYSWALL_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLCONCEALBABYSWALL_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLCONCEALBABYSWALL_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLCONCEALBABYSWALL_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLCONCEALBABYSWALL_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLCONCEALBABYSWALL_Stream stream = CDLCONCEALBABYSWALL_Stream.__new__(CDLCONCEALBABYSWALL_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLCONCEALBABYSWALL_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLCONCEALBABYSWALL_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLCONCEALBABYSWALL_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLCONCEALBABYSWALL_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLCONCEALBABYSWALL_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLCONCEALBABYSWALL_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLCONCEALBABYSWALL_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLCONCEALBABYSWALL_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLCONCEALBABYSWALL_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLCONCEALBABYSWALL_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLCONCEALBABYSWALL_Clone", retCode) + cdef CDLCONCEALBABYSWALL_Stream stream = CDLCONCEALBABYSWALL_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLCOUNTERATTACK_Stream(Stream): """ CDLCOUNTERATTACK(open, high, low, close) Counterattack (Pattern Recognition) @@ -1225,33 +6056,97 @@ def stream_CDLCOUNTERATTACK( np.ndarray open not None , np.ndarray high not None Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLCOUNTERATTACK( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLCOUNTERATTACK", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLDARKCLOUDCOVER( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , double penetration=0.5 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLCOUNTERATTACK_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLCOUNTERATTACK_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLCOUNTERATTACK_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLCOUNTERATTACK_Open", retCode, historylen, lib.TA_CDLCOUNTERATTACK_Lookback() + 1) + if self._handle is not NULL: + TA_CDLCOUNTERATTACK_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLCOUNTERATTACK_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLCOUNTERATTACK_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLCOUNTERATTACK_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLCOUNTERATTACK_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLCOUNTERATTACK_Stream stream = CDLCOUNTERATTACK_Stream.__new__(CDLCOUNTERATTACK_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLCOUNTERATTACK_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLCOUNTERATTACK_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLCOUNTERATTACK_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLCOUNTERATTACK_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLCOUNTERATTACK_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLCOUNTERATTACK_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLCOUNTERATTACK_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLCOUNTERATTACK_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLCOUNTERATTACK_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLCOUNTERATTACK_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLCOUNTERATTACK_Clone", retCode) + cdef CDLCOUNTERATTACK_Stream stream = CDLCOUNTERATTACK_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLDARKCLOUDCOVER_Stream(Stream): """ CDLDARKCLOUDCOVER(open, high, low, close[, penetration=?]) Dark Cloud Cover (Pattern Recognition) @@ -1263,33 +6158,97 @@ def stream_CDLDARKCLOUDCOVER( np.ndarray open not None , np.ndarray high not Non Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLDARKCLOUDCOVER( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , penetration , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLDARKCLOUDCOVER", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLDOJI( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLDARKCLOUDCOVER_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close, double penetration=0.5): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLDARKCLOUDCOVER_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLDARKCLOUDCOVER_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, penetration, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLDARKCLOUDCOVER_Open", retCode, historylen, lib.TA_CDLDARKCLOUDCOVER_Lookback(penetration) + 1) + if self._handle is not NULL: + TA_CDLDARKCLOUDCOVER_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close, double penetration=0.5): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLDARKCLOUDCOVER_Lookback(penetration) + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLDARKCLOUDCOVER_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLDARKCLOUDCOVER_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, penetration, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLDARKCLOUDCOVER_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLDARKCLOUDCOVER_Stream stream = CDLDARKCLOUDCOVER_Stream.__new__(CDLDARKCLOUDCOVER_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLDARKCLOUDCOVER_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLDARKCLOUDCOVER_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLDARKCLOUDCOVER_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLDARKCLOUDCOVER_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLDARKCLOUDCOVER_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLDARKCLOUDCOVER_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLDARKCLOUDCOVER_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLDARKCLOUDCOVER_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLDARKCLOUDCOVER_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLDARKCLOUDCOVER_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLDARKCLOUDCOVER_Clone", retCode) + cdef CDLDARKCLOUDCOVER_Stream stream = CDLDARKCLOUDCOVER_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLDOJI_Stream(Stream): """ CDLDOJI(open, high, low, close) Doji (Pattern Recognition) @@ -1299,33 +6258,97 @@ def stream_CDLDOJI( np.ndarray open not None , np.ndarray high not None , np.nda Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLDOJI( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLDOJI", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLDOJISTAR( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLDOJI_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLDOJI_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLDOJI_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLDOJI_Open", retCode, historylen, lib.TA_CDLDOJI_Lookback() + 1) + if self._handle is not NULL: + TA_CDLDOJI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLDOJI_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLDOJI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLDOJI_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLDOJI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLDOJI_Stream stream = CDLDOJI_Stream.__new__(CDLDOJI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLDOJI_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLDOJI_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLDOJI_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLDOJI_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLDOJI_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLDOJI_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLDOJI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLDOJI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLDOJI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLDOJI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLDOJI_Clone", retCode) + cdef CDLDOJI_Stream stream = CDLDOJI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLDOJISTAR_Stream(Stream): """ CDLDOJISTAR(open, high, low, close) Doji Star (Pattern Recognition) @@ -1335,33 +6358,97 @@ def stream_CDLDOJISTAR( np.ndarray open not None , np.ndarray high not None , np Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLDOJISTAR( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLDOJISTAR", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLDRAGONFLYDOJI( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLDOJISTAR_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLDOJISTAR_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLDOJISTAR_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLDOJISTAR_Open", retCode, historylen, lib.TA_CDLDOJISTAR_Lookback() + 1) + if self._handle is not NULL: + TA_CDLDOJISTAR_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLDOJISTAR_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLDOJISTAR_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLDOJISTAR_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLDOJISTAR_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLDOJISTAR_Stream stream = CDLDOJISTAR_Stream.__new__(CDLDOJISTAR_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLDOJISTAR_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLDOJISTAR_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLDOJISTAR_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLDOJISTAR_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLDOJISTAR_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLDOJISTAR_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLDOJISTAR_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLDOJISTAR_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLDOJISTAR_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLDOJISTAR_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLDOJISTAR_Clone", retCode) + cdef CDLDOJISTAR_Stream stream = CDLDOJISTAR_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLDRAGONFLYDOJI_Stream(Stream): """ CDLDRAGONFLYDOJI(open, high, low, close) Dragonfly Doji (Pattern Recognition) @@ -1371,33 +6458,97 @@ def stream_CDLDRAGONFLYDOJI( np.ndarray open not None , np.ndarray high not None Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLDRAGONFLYDOJI( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLDRAGONFLYDOJI", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLENGULFING( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLDRAGONFLYDOJI_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLDRAGONFLYDOJI_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLDRAGONFLYDOJI_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLDRAGONFLYDOJI_Open", retCode, historylen, lib.TA_CDLDRAGONFLYDOJI_Lookback() + 1) + if self._handle is not NULL: + TA_CDLDRAGONFLYDOJI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLDRAGONFLYDOJI_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLDRAGONFLYDOJI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLDRAGONFLYDOJI_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLDRAGONFLYDOJI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLDRAGONFLYDOJI_Stream stream = CDLDRAGONFLYDOJI_Stream.__new__(CDLDRAGONFLYDOJI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLDRAGONFLYDOJI_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLDRAGONFLYDOJI_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLDRAGONFLYDOJI_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLDRAGONFLYDOJI_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLDRAGONFLYDOJI_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLDRAGONFLYDOJI_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLDRAGONFLYDOJI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLDRAGONFLYDOJI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLDRAGONFLYDOJI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLDRAGONFLYDOJI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLDRAGONFLYDOJI_Clone", retCode) + cdef CDLDRAGONFLYDOJI_Stream stream = CDLDRAGONFLYDOJI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLENGULFING_Stream(Stream): """ CDLENGULFING(open, high, low, close) Engulfing Pattern (Pattern Recognition) @@ -1407,33 +6558,97 @@ def stream_CDLENGULFING( np.ndarray open not None , np.ndarray high not None , n Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLENGULFING( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLENGULFING", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLEVENINGDOJISTAR( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , double penetration=0.3 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLENGULFING_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLENGULFING_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLENGULFING_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLENGULFING_Open", retCode, historylen, lib.TA_CDLENGULFING_Lookback() + 1) + if self._handle is not NULL: + TA_CDLENGULFING_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLENGULFING_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLENGULFING_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLENGULFING_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLENGULFING_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLENGULFING_Stream stream = CDLENGULFING_Stream.__new__(CDLENGULFING_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLENGULFING_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLENGULFING_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLENGULFING_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLENGULFING_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLENGULFING_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLENGULFING_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLENGULFING_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLENGULFING_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLENGULFING_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLENGULFING_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLENGULFING_Clone", retCode) + cdef CDLENGULFING_Stream stream = CDLENGULFING_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLEVENINGDOJISTAR_Stream(Stream): """ CDLEVENINGDOJISTAR(open, high, low, close[, penetration=?]) Evening Doji Star (Pattern Recognition) @@ -1445,33 +6660,97 @@ def stream_CDLEVENINGDOJISTAR( np.ndarray open not None , np.ndarray high not No Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLEVENINGDOJISTAR( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , penetration , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLEVENINGDOJISTAR", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLEVENINGSTAR( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , double penetration=0.3 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLEVENINGDOJISTAR_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close, double penetration=0.3): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLEVENINGDOJISTAR_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLEVENINGDOJISTAR_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, penetration, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLEVENINGDOJISTAR_Open", retCode, historylen, lib.TA_CDLEVENINGDOJISTAR_Lookback(penetration) + 1) + if self._handle is not NULL: + TA_CDLEVENINGDOJISTAR_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close, double penetration=0.3): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLEVENINGDOJISTAR_Lookback(penetration) + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLEVENINGDOJISTAR_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLEVENINGDOJISTAR_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, penetration, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLEVENINGDOJISTAR_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLEVENINGDOJISTAR_Stream stream = CDLEVENINGDOJISTAR_Stream.__new__(CDLEVENINGDOJISTAR_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLEVENINGDOJISTAR_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLEVENINGDOJISTAR_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLEVENINGDOJISTAR_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLEVENINGDOJISTAR_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLEVENINGDOJISTAR_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLEVENINGDOJISTAR_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLEVENINGDOJISTAR_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLEVENINGDOJISTAR_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLEVENINGDOJISTAR_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLEVENINGDOJISTAR_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLEVENINGDOJISTAR_Clone", retCode) + cdef CDLEVENINGDOJISTAR_Stream stream = CDLEVENINGDOJISTAR_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLEVENINGSTAR_Stream(Stream): """ CDLEVENINGSTAR(open, high, low, close[, penetration=?]) Evening Star (Pattern Recognition) @@ -1483,33 +6762,97 @@ def stream_CDLEVENINGSTAR( np.ndarray open not None , np.ndarray high not None , Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLEVENINGSTAR( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , penetration , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLEVENINGSTAR", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLGAPSIDESIDEWHITE( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLEVENINGSTAR_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close, double penetration=0.3): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLEVENINGSTAR_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLEVENINGSTAR_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, penetration, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLEVENINGSTAR_Open", retCode, historylen, lib.TA_CDLEVENINGSTAR_Lookback(penetration) + 1) + if self._handle is not NULL: + TA_CDLEVENINGSTAR_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close, double penetration=0.3): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLEVENINGSTAR_Lookback(penetration) + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLEVENINGSTAR_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLEVENINGSTAR_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, penetration, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLEVENINGSTAR_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLEVENINGSTAR_Stream stream = CDLEVENINGSTAR_Stream.__new__(CDLEVENINGSTAR_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLEVENINGSTAR_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLEVENINGSTAR_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLEVENINGSTAR_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLEVENINGSTAR_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLEVENINGSTAR_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLEVENINGSTAR_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLEVENINGSTAR_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLEVENINGSTAR_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLEVENINGSTAR_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLEVENINGSTAR_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLEVENINGSTAR_Clone", retCode) + cdef CDLEVENINGSTAR_Stream stream = CDLEVENINGSTAR_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLGAPSIDESIDEWHITE_Stream(Stream): """ CDLGAPSIDESIDEWHITE(open, high, low, close) Up/Down-gap side-by-side white lines (Pattern Recognition) @@ -1519,33 +6862,97 @@ def stream_CDLGAPSIDESIDEWHITE( np.ndarray open not None , np.ndarray high not N Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLGAPSIDESIDEWHITE( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLGAPSIDESIDEWHITE", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLGRAVESTONEDOJI( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLGAPSIDESIDEWHITE_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLGAPSIDESIDEWHITE_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLGAPSIDESIDEWHITE_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLGAPSIDESIDEWHITE_Open", retCode, historylen, lib.TA_CDLGAPSIDESIDEWHITE_Lookback() + 1) + if self._handle is not NULL: + TA_CDLGAPSIDESIDEWHITE_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLGAPSIDESIDEWHITE_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLGAPSIDESIDEWHITE_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLGAPSIDESIDEWHITE_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLGAPSIDESIDEWHITE_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLGAPSIDESIDEWHITE_Stream stream = CDLGAPSIDESIDEWHITE_Stream.__new__(CDLGAPSIDESIDEWHITE_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLGAPSIDESIDEWHITE_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLGAPSIDESIDEWHITE_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLGAPSIDESIDEWHITE_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLGAPSIDESIDEWHITE_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLGAPSIDESIDEWHITE_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLGAPSIDESIDEWHITE_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLGAPSIDESIDEWHITE_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLGAPSIDESIDEWHITE_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLGAPSIDESIDEWHITE_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLGAPSIDESIDEWHITE_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLGAPSIDESIDEWHITE_Clone", retCode) + cdef CDLGAPSIDESIDEWHITE_Stream stream = CDLGAPSIDESIDEWHITE_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLGRAVESTONEDOJI_Stream(Stream): """ CDLGRAVESTONEDOJI(open, high, low, close) Gravestone Doji (Pattern Recognition) @@ -1555,33 +6962,97 @@ def stream_CDLGRAVESTONEDOJI( np.ndarray open not None , np.ndarray high not Non Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLGRAVESTONEDOJI( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLGRAVESTONEDOJI", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLHAMMER( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLGRAVESTONEDOJI_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLGRAVESTONEDOJI_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLGRAVESTONEDOJI_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLGRAVESTONEDOJI_Open", retCode, historylen, lib.TA_CDLGRAVESTONEDOJI_Lookback() + 1) + if self._handle is not NULL: + TA_CDLGRAVESTONEDOJI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLGRAVESTONEDOJI_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLGRAVESTONEDOJI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLGRAVESTONEDOJI_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLGRAVESTONEDOJI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLGRAVESTONEDOJI_Stream stream = CDLGRAVESTONEDOJI_Stream.__new__(CDLGRAVESTONEDOJI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLGRAVESTONEDOJI_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLGRAVESTONEDOJI_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLGRAVESTONEDOJI_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLGRAVESTONEDOJI_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLGRAVESTONEDOJI_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLGRAVESTONEDOJI_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLGRAVESTONEDOJI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLGRAVESTONEDOJI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLGRAVESTONEDOJI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLGRAVESTONEDOJI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLGRAVESTONEDOJI_Clone", retCode) + cdef CDLGRAVESTONEDOJI_Stream stream = CDLGRAVESTONEDOJI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLHAMMER_Stream(Stream): """ CDLHAMMER(open, high, low, close) Hammer (Pattern Recognition) @@ -1591,33 +7062,97 @@ def stream_CDLHAMMER( np.ndarray open not None , np.ndarray high not None , np.n Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLHAMMER( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLHAMMER", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLHANGINGMAN( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLHAMMER_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLHAMMER_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHAMMER_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLHAMMER_Open", retCode, historylen, lib.TA_CDLHAMMER_Lookback() + 1) + if self._handle is not NULL: + TA_CDLHAMMER_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLHAMMER_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLHAMMER_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLHAMMER_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLHAMMER_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLHAMMER_Stream stream = CDLHAMMER_Stream.__new__(CDLHAMMER_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHAMMER_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHAMMER_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHAMMER_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHAMMER_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHAMMER_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHAMMER_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLHAMMER_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLHAMMER_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLHAMMER_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLHAMMER_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLHAMMER_Clone", retCode) + cdef CDLHAMMER_Stream stream = CDLHAMMER_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLHANGINGMAN_Stream(Stream): """ CDLHANGINGMAN(open, high, low, close) Hanging Man (Pattern Recognition) @@ -1627,33 +7162,97 @@ def stream_CDLHANGINGMAN( np.ndarray open not None , np.ndarray high not None , Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLHANGINGMAN( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLHANGINGMAN", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLHARAMI( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLHANGINGMAN_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLHANGINGMAN_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHANGINGMAN_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLHANGINGMAN_Open", retCode, historylen, lib.TA_CDLHANGINGMAN_Lookback() + 1) + if self._handle is not NULL: + TA_CDLHANGINGMAN_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLHANGINGMAN_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLHANGINGMAN_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLHANGINGMAN_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLHANGINGMAN_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLHANGINGMAN_Stream stream = CDLHANGINGMAN_Stream.__new__(CDLHANGINGMAN_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHANGINGMAN_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHANGINGMAN_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHANGINGMAN_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHANGINGMAN_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHANGINGMAN_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHANGINGMAN_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLHANGINGMAN_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLHANGINGMAN_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLHANGINGMAN_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLHANGINGMAN_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLHANGINGMAN_Clone", retCode) + cdef CDLHANGINGMAN_Stream stream = CDLHANGINGMAN_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLHARAMI_Stream(Stream): """ CDLHARAMI(open, high, low, close) Harami Pattern (Pattern Recognition) @@ -1663,33 +7262,97 @@ def stream_CDLHARAMI( np.ndarray open not None , np.ndarray high not None , np.n Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLHARAMI( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLHARAMI", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLHARAMICROSS( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLHARAMI_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLHARAMI_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHARAMI_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLHARAMI_Open", retCode, historylen, lib.TA_CDLHARAMI_Lookback() + 1) + if self._handle is not NULL: + TA_CDLHARAMI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLHARAMI_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLHARAMI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLHARAMI_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLHARAMI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLHARAMI_Stream stream = CDLHARAMI_Stream.__new__(CDLHARAMI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHARAMI_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHARAMI_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHARAMI_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHARAMI_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHARAMI_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHARAMI_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLHARAMI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLHARAMI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLHARAMI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLHARAMI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLHARAMI_Clone", retCode) + cdef CDLHARAMI_Stream stream = CDLHARAMI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLHARAMICROSS_Stream(Stream): """ CDLHARAMICROSS(open, high, low, close) Harami Cross Pattern (Pattern Recognition) @@ -1699,33 +7362,97 @@ def stream_CDLHARAMICROSS( np.ndarray open not None , np.ndarray high not None , Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLHARAMICROSS( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLHARAMICROSS", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLHIGHWAVE( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLHARAMICROSS_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLHARAMICROSS_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHARAMICROSS_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLHARAMICROSS_Open", retCode, historylen, lib.TA_CDLHARAMICROSS_Lookback() + 1) + if self._handle is not NULL: + TA_CDLHARAMICROSS_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLHARAMICROSS_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLHARAMICROSS_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLHARAMICROSS_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLHARAMICROSS_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLHARAMICROSS_Stream stream = CDLHARAMICROSS_Stream.__new__(CDLHARAMICROSS_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHARAMICROSS_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHARAMICROSS_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHARAMICROSS_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHARAMICROSS_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHARAMICROSS_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHARAMICROSS_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLHARAMICROSS_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLHARAMICROSS_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLHARAMICROSS_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLHARAMICROSS_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLHARAMICROSS_Clone", retCode) + cdef CDLHARAMICROSS_Stream stream = CDLHARAMICROSS_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLHIGHWAVE_Stream(Stream): """ CDLHIGHWAVE(open, high, low, close) High-Wave Candle (Pattern Recognition) @@ -1735,33 +7462,97 @@ def stream_CDLHIGHWAVE( np.ndarray open not None , np.ndarray high not None , np Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLHIGHWAVE( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLHIGHWAVE", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLHIKKAKE( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLHIGHWAVE_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLHIGHWAVE_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHIGHWAVE_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLHIGHWAVE_Open", retCode, historylen, lib.TA_CDLHIGHWAVE_Lookback() + 1) + if self._handle is not NULL: + TA_CDLHIGHWAVE_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLHIGHWAVE_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLHIGHWAVE_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLHIGHWAVE_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLHIGHWAVE_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLHIGHWAVE_Stream stream = CDLHIGHWAVE_Stream.__new__(CDLHIGHWAVE_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHIGHWAVE_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHIGHWAVE_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHIGHWAVE_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHIGHWAVE_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHIGHWAVE_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHIGHWAVE_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLHIGHWAVE_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLHIGHWAVE_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLHIGHWAVE_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLHIGHWAVE_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLHIGHWAVE_Clone", retCode) + cdef CDLHIGHWAVE_Stream stream = CDLHIGHWAVE_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLHIKKAKE_Stream(Stream): """ CDLHIKKAKE(open, high, low, close) Hikkake Pattern (Pattern Recognition) @@ -1771,33 +7562,97 @@ def stream_CDLHIKKAKE( np.ndarray open not None , np.ndarray high not None , np. Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLHIKKAKE( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLHIKKAKE", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLHIKKAKEMOD( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLHIKKAKE_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLHIKKAKE_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHIKKAKE_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLHIKKAKE_Open", retCode, historylen, lib.TA_CDLHIKKAKE_Lookback() + 1) + if self._handle is not NULL: + TA_CDLHIKKAKE_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLHIKKAKE_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLHIKKAKE_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLHIKKAKE_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLHIKKAKE_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLHIKKAKE_Stream stream = CDLHIKKAKE_Stream.__new__(CDLHIKKAKE_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHIKKAKE_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHIKKAKE_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHIKKAKE_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHIKKAKE_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHIKKAKE_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHIKKAKE_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLHIKKAKE_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLHIKKAKE_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLHIKKAKE_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLHIKKAKE_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLHIKKAKE_Clone", retCode) + cdef CDLHIKKAKE_Stream stream = CDLHIKKAKE_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLHIKKAKEMOD_Stream(Stream): """ CDLHIKKAKEMOD(open, high, low, close) Modified Hikkake Pattern (Pattern Recognition) @@ -1807,33 +7662,97 @@ def stream_CDLHIKKAKEMOD( np.ndarray open not None , np.ndarray high not None , Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLHIKKAKEMOD( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLHIKKAKEMOD", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLHOMINGPIGEON( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLHIKKAKEMOD_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLHIKKAKEMOD_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHIKKAKEMOD_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLHIKKAKEMOD_Open", retCode, historylen, lib.TA_CDLHIKKAKEMOD_Lookback() + 1) + if self._handle is not NULL: + TA_CDLHIKKAKEMOD_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLHIKKAKEMOD_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLHIKKAKEMOD_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLHIKKAKEMOD_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLHIKKAKEMOD_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLHIKKAKEMOD_Stream stream = CDLHIKKAKEMOD_Stream.__new__(CDLHIKKAKEMOD_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHIKKAKEMOD_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHIKKAKEMOD_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHIKKAKEMOD_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHIKKAKEMOD_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHIKKAKEMOD_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHIKKAKEMOD_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLHIKKAKEMOD_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLHIKKAKEMOD_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLHIKKAKEMOD_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLHIKKAKEMOD_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLHIKKAKEMOD_Clone", retCode) + cdef CDLHIKKAKEMOD_Stream stream = CDLHIKKAKEMOD_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLHOMINGPIGEON_Stream(Stream): """ CDLHOMINGPIGEON(open, high, low, close) Homing Pigeon (Pattern Recognition) @@ -1843,33 +7762,97 @@ def stream_CDLHOMINGPIGEON( np.ndarray open not None , np.ndarray high not None Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLHOMINGPIGEON( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLHOMINGPIGEON", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLIDENTICAL3CROWS( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLHOMINGPIGEON_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLHOMINGPIGEON_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHOMINGPIGEON_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLHOMINGPIGEON_Open", retCode, historylen, lib.TA_CDLHOMINGPIGEON_Lookback() + 1) + if self._handle is not NULL: + TA_CDLHOMINGPIGEON_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLHOMINGPIGEON_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLHOMINGPIGEON_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLHOMINGPIGEON_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLHOMINGPIGEON_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLHOMINGPIGEON_Stream stream = CDLHOMINGPIGEON_Stream.__new__(CDLHOMINGPIGEON_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHOMINGPIGEON_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHOMINGPIGEON_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHOMINGPIGEON_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHOMINGPIGEON_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLHOMINGPIGEON_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLHOMINGPIGEON_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLHOMINGPIGEON_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLHOMINGPIGEON_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLHOMINGPIGEON_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLHOMINGPIGEON_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLHOMINGPIGEON_Clone", retCode) + cdef CDLHOMINGPIGEON_Stream stream = CDLHOMINGPIGEON_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLIDENTICAL3CROWS_Stream(Stream): """ CDLIDENTICAL3CROWS(open, high, low, close) Identical Three Crows (Pattern Recognition) @@ -1879,33 +7862,97 @@ def stream_CDLIDENTICAL3CROWS( np.ndarray open not None , np.ndarray high not No Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLIDENTICAL3CROWS( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLIDENTICAL3CROWS", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLINNECK( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLIDENTICAL3CROWS_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLIDENTICAL3CROWS_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLIDENTICAL3CROWS_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLIDENTICAL3CROWS_Open", retCode, historylen, lib.TA_CDLIDENTICAL3CROWS_Lookback() + 1) + if self._handle is not NULL: + TA_CDLIDENTICAL3CROWS_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLIDENTICAL3CROWS_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLIDENTICAL3CROWS_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLIDENTICAL3CROWS_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLIDENTICAL3CROWS_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLIDENTICAL3CROWS_Stream stream = CDLIDENTICAL3CROWS_Stream.__new__(CDLIDENTICAL3CROWS_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLIDENTICAL3CROWS_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLIDENTICAL3CROWS_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLIDENTICAL3CROWS_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLIDENTICAL3CROWS_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLIDENTICAL3CROWS_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLIDENTICAL3CROWS_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLIDENTICAL3CROWS_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLIDENTICAL3CROWS_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLIDENTICAL3CROWS_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLIDENTICAL3CROWS_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLIDENTICAL3CROWS_Clone", retCode) + cdef CDLIDENTICAL3CROWS_Stream stream = CDLIDENTICAL3CROWS_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLINNECK_Stream(Stream): """ CDLINNECK(open, high, low, close) In-Neck Pattern (Pattern Recognition) @@ -1915,33 +7962,97 @@ def stream_CDLINNECK( np.ndarray open not None , np.ndarray high not None , np.n Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLINNECK( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLINNECK", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLINVERTEDHAMMER( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLINNECK_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLINNECK_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLINNECK_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLINNECK_Open", retCode, historylen, lib.TA_CDLINNECK_Lookback() + 1) + if self._handle is not NULL: + TA_CDLINNECK_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLINNECK_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLINNECK_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLINNECK_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLINNECK_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLINNECK_Stream stream = CDLINNECK_Stream.__new__(CDLINNECK_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLINNECK_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLINNECK_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLINNECK_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLINNECK_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLINNECK_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLINNECK_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLINNECK_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLINNECK_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLINNECK_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLINNECK_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLINNECK_Clone", retCode) + cdef CDLINNECK_Stream stream = CDLINNECK_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLINVERTEDHAMMER_Stream(Stream): """ CDLINVERTEDHAMMER(open, high, low, close) Inverted Hammer (Pattern Recognition) @@ -1951,33 +8062,97 @@ def stream_CDLINVERTEDHAMMER( np.ndarray open not None , np.ndarray high not Non Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLINVERTEDHAMMER( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLINVERTEDHAMMER", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLKICKING( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLINVERTEDHAMMER_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLINVERTEDHAMMER_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLINVERTEDHAMMER_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLINVERTEDHAMMER_Open", retCode, historylen, lib.TA_CDLINVERTEDHAMMER_Lookback() + 1) + if self._handle is not NULL: + TA_CDLINVERTEDHAMMER_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLINVERTEDHAMMER_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLINVERTEDHAMMER_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLINVERTEDHAMMER_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLINVERTEDHAMMER_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLINVERTEDHAMMER_Stream stream = CDLINVERTEDHAMMER_Stream.__new__(CDLINVERTEDHAMMER_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLINVERTEDHAMMER_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLINVERTEDHAMMER_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLINVERTEDHAMMER_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLINVERTEDHAMMER_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLINVERTEDHAMMER_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLINVERTEDHAMMER_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLINVERTEDHAMMER_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLINVERTEDHAMMER_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLINVERTEDHAMMER_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLINVERTEDHAMMER_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLINVERTEDHAMMER_Clone", retCode) + cdef CDLINVERTEDHAMMER_Stream stream = CDLINVERTEDHAMMER_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLKICKING_Stream(Stream): """ CDLKICKING(open, high, low, close) Kicking (Pattern Recognition) @@ -1987,33 +8162,97 @@ def stream_CDLKICKING( np.ndarray open not None , np.ndarray high not None , np. Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLKICKING( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLKICKING", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLKICKINGBYLENGTH( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLKICKING_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLKICKING_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLKICKING_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLKICKING_Open", retCode, historylen, lib.TA_CDLKICKING_Lookback() + 1) + if self._handle is not NULL: + TA_CDLKICKING_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLKICKING_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLKICKING_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLKICKING_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLKICKING_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLKICKING_Stream stream = CDLKICKING_Stream.__new__(CDLKICKING_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLKICKING_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLKICKING_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLKICKING_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLKICKING_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLKICKING_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLKICKING_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLKICKING_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLKICKING_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLKICKING_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLKICKING_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLKICKING_Clone", retCode) + cdef CDLKICKING_Stream stream = CDLKICKING_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLKICKINGBYLENGTH_Stream(Stream): """ CDLKICKINGBYLENGTH(open, high, low, close) Kicking - bull/bear determined by the longer marubozu (Pattern Recognition) @@ -2023,33 +8262,97 @@ def stream_CDLKICKINGBYLENGTH( np.ndarray open not None , np.ndarray high not No Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLKICKINGBYLENGTH( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLKICKINGBYLENGTH", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLLADDERBOTTOM( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLKICKINGBYLENGTH_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLKICKINGBYLENGTH_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLKICKINGBYLENGTH_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLKICKINGBYLENGTH_Open", retCode, historylen, lib.TA_CDLKICKINGBYLENGTH_Lookback() + 1) + if self._handle is not NULL: + TA_CDLKICKINGBYLENGTH_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLKICKINGBYLENGTH_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLKICKINGBYLENGTH_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLKICKINGBYLENGTH_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLKICKINGBYLENGTH_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLKICKINGBYLENGTH_Stream stream = CDLKICKINGBYLENGTH_Stream.__new__(CDLKICKINGBYLENGTH_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLKICKINGBYLENGTH_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLKICKINGBYLENGTH_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLKICKINGBYLENGTH_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLKICKINGBYLENGTH_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLKICKINGBYLENGTH_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLKICKINGBYLENGTH_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLKICKINGBYLENGTH_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLKICKINGBYLENGTH_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLKICKINGBYLENGTH_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLKICKINGBYLENGTH_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLKICKINGBYLENGTH_Clone", retCode) + cdef CDLKICKINGBYLENGTH_Stream stream = CDLKICKINGBYLENGTH_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLLADDERBOTTOM_Stream(Stream): """ CDLLADDERBOTTOM(open, high, low, close) Ladder Bottom (Pattern Recognition) @@ -2059,33 +8362,97 @@ def stream_CDLLADDERBOTTOM( np.ndarray open not None , np.ndarray high not None Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLLADDERBOTTOM( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLLADDERBOTTOM", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLLONGLEGGEDDOJI( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLLADDERBOTTOM_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLLADDERBOTTOM_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLLADDERBOTTOM_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLLADDERBOTTOM_Open", retCode, historylen, lib.TA_CDLLADDERBOTTOM_Lookback() + 1) + if self._handle is not NULL: + TA_CDLLADDERBOTTOM_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLLADDERBOTTOM_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLLADDERBOTTOM_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLLADDERBOTTOM_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLLADDERBOTTOM_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLLADDERBOTTOM_Stream stream = CDLLADDERBOTTOM_Stream.__new__(CDLLADDERBOTTOM_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLLADDERBOTTOM_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLLADDERBOTTOM_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLLADDERBOTTOM_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLLADDERBOTTOM_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLLADDERBOTTOM_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLLADDERBOTTOM_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLLADDERBOTTOM_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLLADDERBOTTOM_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLLADDERBOTTOM_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLLADDERBOTTOM_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLLADDERBOTTOM_Clone", retCode) + cdef CDLLADDERBOTTOM_Stream stream = CDLLADDERBOTTOM_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLLONGLEGGEDDOJI_Stream(Stream): """ CDLLONGLEGGEDDOJI(open, high, low, close) Long Legged Doji (Pattern Recognition) @@ -2095,33 +8462,97 @@ def stream_CDLLONGLEGGEDDOJI( np.ndarray open not None , np.ndarray high not Non Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLLONGLEGGEDDOJI( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLLONGLEGGEDDOJI", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLLONGLINE( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLLONGLEGGEDDOJI_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLLONGLEGGEDDOJI_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLLONGLEGGEDDOJI_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLLONGLEGGEDDOJI_Open", retCode, historylen, lib.TA_CDLLONGLEGGEDDOJI_Lookback() + 1) + if self._handle is not NULL: + TA_CDLLONGLEGGEDDOJI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLLONGLEGGEDDOJI_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLLONGLEGGEDDOJI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLLONGLEGGEDDOJI_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLLONGLEGGEDDOJI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLLONGLEGGEDDOJI_Stream stream = CDLLONGLEGGEDDOJI_Stream.__new__(CDLLONGLEGGEDDOJI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLLONGLEGGEDDOJI_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLLONGLEGGEDDOJI_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLLONGLEGGEDDOJI_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLLONGLEGGEDDOJI_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLLONGLEGGEDDOJI_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLLONGLEGGEDDOJI_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLLONGLEGGEDDOJI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLLONGLEGGEDDOJI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLLONGLEGGEDDOJI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLLONGLEGGEDDOJI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLLONGLEGGEDDOJI_Clone", retCode) + cdef CDLLONGLEGGEDDOJI_Stream stream = CDLLONGLEGGEDDOJI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLLONGLINE_Stream(Stream): """ CDLLONGLINE(open, high, low, close) Long Line Candle (Pattern Recognition) @@ -2131,33 +8562,97 @@ def stream_CDLLONGLINE( np.ndarray open not None , np.ndarray high not None , np Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLLONGLINE( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLLONGLINE", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLMARUBOZU( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLLONGLINE_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLLONGLINE_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLLONGLINE_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLLONGLINE_Open", retCode, historylen, lib.TA_CDLLONGLINE_Lookback() + 1) + if self._handle is not NULL: + TA_CDLLONGLINE_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLLONGLINE_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLLONGLINE_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLLONGLINE_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLLONGLINE_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLLONGLINE_Stream stream = CDLLONGLINE_Stream.__new__(CDLLONGLINE_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLLONGLINE_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLLONGLINE_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLLONGLINE_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLLONGLINE_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLLONGLINE_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLLONGLINE_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLLONGLINE_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLLONGLINE_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLLONGLINE_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLLONGLINE_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLLONGLINE_Clone", retCode) + cdef CDLLONGLINE_Stream stream = CDLLONGLINE_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLMARUBOZU_Stream(Stream): """ CDLMARUBOZU(open, high, low, close) Marubozu (Pattern Recognition) @@ -2167,33 +8662,97 @@ def stream_CDLMARUBOZU( np.ndarray open not None , np.ndarray high not None , np Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLMARUBOZU( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLMARUBOZU", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLMATCHINGLOW( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLMARUBOZU_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLMARUBOZU_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLMARUBOZU_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLMARUBOZU_Open", retCode, historylen, lib.TA_CDLMARUBOZU_Lookback() + 1) + if self._handle is not NULL: + TA_CDLMARUBOZU_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLMARUBOZU_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLMARUBOZU_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLMARUBOZU_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLMARUBOZU_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLMARUBOZU_Stream stream = CDLMARUBOZU_Stream.__new__(CDLMARUBOZU_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLMARUBOZU_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLMARUBOZU_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLMARUBOZU_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLMARUBOZU_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLMARUBOZU_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLMARUBOZU_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLMARUBOZU_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLMARUBOZU_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLMARUBOZU_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLMARUBOZU_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLMARUBOZU_Clone", retCode) + cdef CDLMARUBOZU_Stream stream = CDLMARUBOZU_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLMATCHINGLOW_Stream(Stream): """ CDLMATCHINGLOW(open, high, low, close) Matching Low (Pattern Recognition) @@ -2203,33 +8762,97 @@ def stream_CDLMATCHINGLOW( np.ndarray open not None , np.ndarray high not None , Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLMATCHINGLOW( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLMATCHINGLOW", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLMATHOLD( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , double penetration=0.5 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLMATCHINGLOW_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLMATCHINGLOW_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLMATCHINGLOW_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLMATCHINGLOW_Open", retCode, historylen, lib.TA_CDLMATCHINGLOW_Lookback() + 1) + if self._handle is not NULL: + TA_CDLMATCHINGLOW_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLMATCHINGLOW_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLMATCHINGLOW_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLMATCHINGLOW_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLMATCHINGLOW_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLMATCHINGLOW_Stream stream = CDLMATCHINGLOW_Stream.__new__(CDLMATCHINGLOW_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLMATCHINGLOW_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLMATCHINGLOW_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLMATCHINGLOW_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLMATCHINGLOW_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLMATCHINGLOW_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLMATCHINGLOW_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLMATCHINGLOW_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLMATCHINGLOW_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLMATCHINGLOW_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLMATCHINGLOW_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLMATCHINGLOW_Clone", retCode) + cdef CDLMATCHINGLOW_Stream stream = CDLMATCHINGLOW_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLMATHOLD_Stream(Stream): """ CDLMATHOLD(open, high, low, close[, penetration=?]) Mat Hold (Pattern Recognition) @@ -2241,33 +8864,97 @@ def stream_CDLMATHOLD( np.ndarray open not None , np.ndarray high not None , np. Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLMATHOLD( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , penetration , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLMATHOLD", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLMORNINGDOJISTAR( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , double penetration=0.3 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLMATHOLD_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close, double penetration=0.5): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLMATHOLD_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLMATHOLD_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, penetration, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLMATHOLD_Open", retCode, historylen, lib.TA_CDLMATHOLD_Lookback(penetration) + 1) + if self._handle is not NULL: + TA_CDLMATHOLD_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close, double penetration=0.5): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLMATHOLD_Lookback(penetration) + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLMATHOLD_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLMATHOLD_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, penetration, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLMATHOLD_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLMATHOLD_Stream stream = CDLMATHOLD_Stream.__new__(CDLMATHOLD_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLMATHOLD_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLMATHOLD_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLMATHOLD_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLMATHOLD_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLMATHOLD_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLMATHOLD_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLMATHOLD_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLMATHOLD_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLMATHOLD_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLMATHOLD_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLMATHOLD_Clone", retCode) + cdef CDLMATHOLD_Stream stream = CDLMATHOLD_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLMORNINGDOJISTAR_Stream(Stream): """ CDLMORNINGDOJISTAR(open, high, low, close[, penetration=?]) Morning Doji Star (Pattern Recognition) @@ -2279,33 +8966,97 @@ def stream_CDLMORNINGDOJISTAR( np.ndarray open not None , np.ndarray high not No Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLMORNINGDOJISTAR( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , penetration , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLMORNINGDOJISTAR", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLMORNINGSTAR( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , double penetration=0.3 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLMORNINGDOJISTAR_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close, double penetration=0.3): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLMORNINGDOJISTAR_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLMORNINGDOJISTAR_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, penetration, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLMORNINGDOJISTAR_Open", retCode, historylen, lib.TA_CDLMORNINGDOJISTAR_Lookback(penetration) + 1) + if self._handle is not NULL: + TA_CDLMORNINGDOJISTAR_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close, double penetration=0.3): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLMORNINGDOJISTAR_Lookback(penetration) + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLMORNINGDOJISTAR_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLMORNINGDOJISTAR_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, penetration, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLMORNINGDOJISTAR_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLMORNINGDOJISTAR_Stream stream = CDLMORNINGDOJISTAR_Stream.__new__(CDLMORNINGDOJISTAR_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLMORNINGDOJISTAR_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLMORNINGDOJISTAR_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLMORNINGDOJISTAR_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLMORNINGDOJISTAR_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLMORNINGDOJISTAR_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLMORNINGDOJISTAR_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLMORNINGDOJISTAR_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLMORNINGDOJISTAR_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLMORNINGDOJISTAR_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLMORNINGDOJISTAR_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLMORNINGDOJISTAR_Clone", retCode) + cdef CDLMORNINGDOJISTAR_Stream stream = CDLMORNINGDOJISTAR_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLMORNINGSTAR_Stream(Stream): """ CDLMORNINGSTAR(open, high, low, close[, penetration=?]) Morning Star (Pattern Recognition) @@ -2317,33 +9068,97 @@ def stream_CDLMORNINGSTAR( np.ndarray open not None , np.ndarray high not None , Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLMORNINGSTAR( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , penetration , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLMORNINGSTAR", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLONNECK( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLMORNINGSTAR_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close, double penetration=0.3): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLMORNINGSTAR_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLMORNINGSTAR_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, penetration, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLMORNINGSTAR_Open", retCode, historylen, lib.TA_CDLMORNINGSTAR_Lookback(penetration) + 1) + if self._handle is not NULL: + TA_CDLMORNINGSTAR_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close, double penetration=0.3): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLMORNINGSTAR_Lookback(penetration) + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLMORNINGSTAR_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLMORNINGSTAR_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, penetration, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLMORNINGSTAR_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLMORNINGSTAR_Stream stream = CDLMORNINGSTAR_Stream.__new__(CDLMORNINGSTAR_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLMORNINGSTAR_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLMORNINGSTAR_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLMORNINGSTAR_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLMORNINGSTAR_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLMORNINGSTAR_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLMORNINGSTAR_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLMORNINGSTAR_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLMORNINGSTAR_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLMORNINGSTAR_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLMORNINGSTAR_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLMORNINGSTAR_Clone", retCode) + cdef CDLMORNINGSTAR_Stream stream = CDLMORNINGSTAR_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLONNECK_Stream(Stream): """ CDLONNECK(open, high, low, close) On-Neck Pattern (Pattern Recognition) @@ -2353,33 +9168,97 @@ def stream_CDLONNECK( np.ndarray open not None , np.ndarray high not None , np.n Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLONNECK( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLONNECK", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLPIERCING( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLONNECK_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLONNECK_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLONNECK_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLONNECK_Open", retCode, historylen, lib.TA_CDLONNECK_Lookback() + 1) + if self._handle is not NULL: + TA_CDLONNECK_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLONNECK_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLONNECK_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLONNECK_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLONNECK_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLONNECK_Stream stream = CDLONNECK_Stream.__new__(CDLONNECK_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLONNECK_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLONNECK_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLONNECK_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLONNECK_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLONNECK_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLONNECK_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLONNECK_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLONNECK_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLONNECK_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLONNECK_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLONNECK_Clone", retCode) + cdef CDLONNECK_Stream stream = CDLONNECK_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLPIERCING_Stream(Stream): """ CDLPIERCING(open, high, low, close) Piercing Pattern (Pattern Recognition) @@ -2389,33 +9268,97 @@ def stream_CDLPIERCING( np.ndarray open not None , np.ndarray high not None , np Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLPIERCING( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLPIERCING", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLRICKSHAWMAN( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLPIERCING_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLPIERCING_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLPIERCING_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLPIERCING_Open", retCode, historylen, lib.TA_CDLPIERCING_Lookback() + 1) + if self._handle is not NULL: + TA_CDLPIERCING_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLPIERCING_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLPIERCING_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLPIERCING_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLPIERCING_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLPIERCING_Stream stream = CDLPIERCING_Stream.__new__(CDLPIERCING_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLPIERCING_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLPIERCING_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLPIERCING_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLPIERCING_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLPIERCING_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLPIERCING_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLPIERCING_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLPIERCING_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLPIERCING_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLPIERCING_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLPIERCING_Clone", retCode) + cdef CDLPIERCING_Stream stream = CDLPIERCING_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLRICKSHAWMAN_Stream(Stream): """ CDLRICKSHAWMAN(open, high, low, close) Rickshaw Man (Pattern Recognition) @@ -2425,33 +9368,97 @@ def stream_CDLRICKSHAWMAN( np.ndarray open not None , np.ndarray high not None , Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLRICKSHAWMAN( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLRICKSHAWMAN", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLRISEFALL3METHODS( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLRICKSHAWMAN_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLRICKSHAWMAN_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLRICKSHAWMAN_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLRICKSHAWMAN_Open", retCode, historylen, lib.TA_CDLRICKSHAWMAN_Lookback() + 1) + if self._handle is not NULL: + TA_CDLRICKSHAWMAN_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLRICKSHAWMAN_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLRICKSHAWMAN_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLRICKSHAWMAN_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLRICKSHAWMAN_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLRICKSHAWMAN_Stream stream = CDLRICKSHAWMAN_Stream.__new__(CDLRICKSHAWMAN_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLRICKSHAWMAN_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLRICKSHAWMAN_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLRICKSHAWMAN_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLRICKSHAWMAN_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLRICKSHAWMAN_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLRICKSHAWMAN_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLRICKSHAWMAN_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLRICKSHAWMAN_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLRICKSHAWMAN_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLRICKSHAWMAN_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLRICKSHAWMAN_Clone", retCode) + cdef CDLRICKSHAWMAN_Stream stream = CDLRICKSHAWMAN_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLRISEFALL3METHODS_Stream(Stream): """ CDLRISEFALL3METHODS(open, high, low, close) Rising/Falling Three Methods (Pattern Recognition) @@ -2461,33 +9468,97 @@ def stream_CDLRISEFALL3METHODS( np.ndarray open not None , np.ndarray high not N Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLRISEFALL3METHODS( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLRISEFALL3METHODS", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLSEPARATINGLINES( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLRISEFALL3METHODS_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLRISEFALL3METHODS_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLRISEFALL3METHODS_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLRISEFALL3METHODS_Open", retCode, historylen, lib.TA_CDLRISEFALL3METHODS_Lookback() + 1) + if self._handle is not NULL: + TA_CDLRISEFALL3METHODS_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLRISEFALL3METHODS_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLRISEFALL3METHODS_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLRISEFALL3METHODS_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLRISEFALL3METHODS_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLRISEFALL3METHODS_Stream stream = CDLRISEFALL3METHODS_Stream.__new__(CDLRISEFALL3METHODS_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLRISEFALL3METHODS_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLRISEFALL3METHODS_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLRISEFALL3METHODS_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLRISEFALL3METHODS_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLRISEFALL3METHODS_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLRISEFALL3METHODS_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLRISEFALL3METHODS_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLRISEFALL3METHODS_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLRISEFALL3METHODS_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLRISEFALL3METHODS_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLRISEFALL3METHODS_Clone", retCode) + cdef CDLRISEFALL3METHODS_Stream stream = CDLRISEFALL3METHODS_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLSEPARATINGLINES_Stream(Stream): """ CDLSEPARATINGLINES(open, high, low, close) Separating Lines (Pattern Recognition) @@ -2497,33 +9568,97 @@ def stream_CDLSEPARATINGLINES( np.ndarray open not None , np.ndarray high not No Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLSEPARATINGLINES( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLSEPARATINGLINES", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLSHOOTINGSTAR( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLSEPARATINGLINES_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLSEPARATINGLINES_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSEPARATINGLINES_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLSEPARATINGLINES_Open", retCode, historylen, lib.TA_CDLSEPARATINGLINES_Lookback() + 1) + if self._handle is not NULL: + TA_CDLSEPARATINGLINES_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLSEPARATINGLINES_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLSEPARATINGLINES_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLSEPARATINGLINES_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLSEPARATINGLINES_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLSEPARATINGLINES_Stream stream = CDLSEPARATINGLINES_Stream.__new__(CDLSEPARATINGLINES_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSEPARATINGLINES_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLSEPARATINGLINES_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSEPARATINGLINES_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLSEPARATINGLINES_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSEPARATINGLINES_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLSEPARATINGLINES_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLSEPARATINGLINES_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLSEPARATINGLINES_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLSEPARATINGLINES_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLSEPARATINGLINES_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLSEPARATINGLINES_Clone", retCode) + cdef CDLSEPARATINGLINES_Stream stream = CDLSEPARATINGLINES_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLSHOOTINGSTAR_Stream(Stream): """ CDLSHOOTINGSTAR(open, high, low, close) Shooting Star (Pattern Recognition) @@ -2533,33 +9668,97 @@ def stream_CDLSHOOTINGSTAR( np.ndarray open not None , np.ndarray high not None Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLSHOOTINGSTAR( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLSHOOTINGSTAR", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLSHORTLINE( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLSHOOTINGSTAR_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLSHOOTINGSTAR_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSHOOTINGSTAR_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLSHOOTINGSTAR_Open", retCode, historylen, lib.TA_CDLSHOOTINGSTAR_Lookback() + 1) + if self._handle is not NULL: + TA_CDLSHOOTINGSTAR_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLSHOOTINGSTAR_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLSHOOTINGSTAR_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLSHOOTINGSTAR_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLSHOOTINGSTAR_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLSHOOTINGSTAR_Stream stream = CDLSHOOTINGSTAR_Stream.__new__(CDLSHOOTINGSTAR_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSHOOTINGSTAR_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLSHOOTINGSTAR_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSHOOTINGSTAR_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLSHOOTINGSTAR_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSHOOTINGSTAR_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLSHOOTINGSTAR_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLSHOOTINGSTAR_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLSHOOTINGSTAR_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLSHOOTINGSTAR_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLSHOOTINGSTAR_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLSHOOTINGSTAR_Clone", retCode) + cdef CDLSHOOTINGSTAR_Stream stream = CDLSHOOTINGSTAR_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLSHORTLINE_Stream(Stream): """ CDLSHORTLINE(open, high, low, close) Short Line Candle (Pattern Recognition) @@ -2569,33 +9768,97 @@ def stream_CDLSHORTLINE( np.ndarray open not None , np.ndarray high not None , n Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLSHORTLINE( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLSHORTLINE", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLSPINNINGTOP( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLSHORTLINE_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLSHORTLINE_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSHORTLINE_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLSHORTLINE_Open", retCode, historylen, lib.TA_CDLSHORTLINE_Lookback() + 1) + if self._handle is not NULL: + TA_CDLSHORTLINE_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLSHORTLINE_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLSHORTLINE_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLSHORTLINE_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLSHORTLINE_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLSHORTLINE_Stream stream = CDLSHORTLINE_Stream.__new__(CDLSHORTLINE_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSHORTLINE_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLSHORTLINE_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSHORTLINE_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLSHORTLINE_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSHORTLINE_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLSHORTLINE_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLSHORTLINE_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLSHORTLINE_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLSHORTLINE_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLSHORTLINE_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLSHORTLINE_Clone", retCode) + cdef CDLSHORTLINE_Stream stream = CDLSHORTLINE_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLSPINNINGTOP_Stream(Stream): """ CDLSPINNINGTOP(open, high, low, close) Spinning Top (Pattern Recognition) @@ -2605,33 +9868,97 @@ def stream_CDLSPINNINGTOP( np.ndarray open not None , np.ndarray high not None , Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLSPINNINGTOP( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLSPINNINGTOP", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLSTALLEDPATTERN( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLSPINNINGTOP_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLSPINNINGTOP_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSPINNINGTOP_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLSPINNINGTOP_Open", retCode, historylen, lib.TA_CDLSPINNINGTOP_Lookback() + 1) + if self._handle is not NULL: + TA_CDLSPINNINGTOP_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLSPINNINGTOP_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLSPINNINGTOP_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLSPINNINGTOP_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLSPINNINGTOP_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLSPINNINGTOP_Stream stream = CDLSPINNINGTOP_Stream.__new__(CDLSPINNINGTOP_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSPINNINGTOP_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLSPINNINGTOP_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSPINNINGTOP_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLSPINNINGTOP_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSPINNINGTOP_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLSPINNINGTOP_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLSPINNINGTOP_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLSPINNINGTOP_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLSPINNINGTOP_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLSPINNINGTOP_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLSPINNINGTOP_Clone", retCode) + cdef CDLSPINNINGTOP_Stream stream = CDLSPINNINGTOP_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLSTALLEDPATTERN_Stream(Stream): """ CDLSTALLEDPATTERN(open, high, low, close) Stalled Pattern (Pattern Recognition) @@ -2641,33 +9968,97 @@ def stream_CDLSTALLEDPATTERN( np.ndarray open not None , np.ndarray high not Non Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLSTALLEDPATTERN( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLSTALLEDPATTERN", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLSTICKSANDWICH( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLSTALLEDPATTERN_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLSTALLEDPATTERN_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSTALLEDPATTERN_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLSTALLEDPATTERN_Open", retCode, historylen, lib.TA_CDLSTALLEDPATTERN_Lookback() + 1) + if self._handle is not NULL: + TA_CDLSTALLEDPATTERN_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLSTALLEDPATTERN_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLSTALLEDPATTERN_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLSTALLEDPATTERN_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLSTALLEDPATTERN_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLSTALLEDPATTERN_Stream stream = CDLSTALLEDPATTERN_Stream.__new__(CDLSTALLEDPATTERN_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSTALLEDPATTERN_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLSTALLEDPATTERN_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSTALLEDPATTERN_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLSTALLEDPATTERN_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSTALLEDPATTERN_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLSTALLEDPATTERN_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLSTALLEDPATTERN_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLSTALLEDPATTERN_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLSTALLEDPATTERN_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLSTALLEDPATTERN_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLSTALLEDPATTERN_Clone", retCode) + cdef CDLSTALLEDPATTERN_Stream stream = CDLSTALLEDPATTERN_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLSTICKSANDWICH_Stream(Stream): """ CDLSTICKSANDWICH(open, high, low, close) Stick Sandwich (Pattern Recognition) @@ -2677,33 +10068,97 @@ def stream_CDLSTICKSANDWICH( np.ndarray open not None , np.ndarray high not None Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLSTICKSANDWICH( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLSTICKSANDWICH", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLTAKURI( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLSTICKSANDWICH_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLSTICKSANDWICH_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSTICKSANDWICH_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLSTICKSANDWICH_Open", retCode, historylen, lib.TA_CDLSTICKSANDWICH_Lookback() + 1) + if self._handle is not NULL: + TA_CDLSTICKSANDWICH_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLSTICKSANDWICH_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLSTICKSANDWICH_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLSTICKSANDWICH_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLSTICKSANDWICH_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLSTICKSANDWICH_Stream stream = CDLSTICKSANDWICH_Stream.__new__(CDLSTICKSANDWICH_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSTICKSANDWICH_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLSTICKSANDWICH_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSTICKSANDWICH_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLSTICKSANDWICH_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLSTICKSANDWICH_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLSTICKSANDWICH_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLSTICKSANDWICH_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLSTICKSANDWICH_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLSTICKSANDWICH_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLSTICKSANDWICH_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLSTICKSANDWICH_Clone", retCode) + cdef CDLSTICKSANDWICH_Stream stream = CDLSTICKSANDWICH_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLTAKURI_Stream(Stream): """ CDLTAKURI(open, high, low, close) Takuri (Dragonfly Doji with very long lower shadow) (Pattern Recognition) @@ -2713,33 +10168,97 @@ def stream_CDLTAKURI( np.ndarray open not None , np.ndarray high not None , np.n Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLTAKURI( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLTAKURI", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLTASUKIGAP( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLTAKURI_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLTAKURI_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLTAKURI_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLTAKURI_Open", retCode, historylen, lib.TA_CDLTAKURI_Lookback() + 1) + if self._handle is not NULL: + TA_CDLTAKURI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLTAKURI_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLTAKURI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLTAKURI_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLTAKURI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLTAKURI_Stream stream = CDLTAKURI_Stream.__new__(CDLTAKURI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLTAKURI_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLTAKURI_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLTAKURI_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLTAKURI_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLTAKURI_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLTAKURI_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLTAKURI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLTAKURI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLTAKURI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLTAKURI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLTAKURI_Clone", retCode) + cdef CDLTAKURI_Stream stream = CDLTAKURI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLTASUKIGAP_Stream(Stream): """ CDLTASUKIGAP(open, high, low, close) Tasuki Gap (Pattern Recognition) @@ -2749,33 +10268,97 @@ def stream_CDLTASUKIGAP( np.ndarray open not None , np.ndarray high not None , n Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLTASUKIGAP( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLTASUKIGAP", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLTHRUSTING( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLTASUKIGAP_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLTASUKIGAP_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLTASUKIGAP_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLTASUKIGAP_Open", retCode, historylen, lib.TA_CDLTASUKIGAP_Lookback() + 1) + if self._handle is not NULL: + TA_CDLTASUKIGAP_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLTASUKIGAP_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLTASUKIGAP_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLTASUKIGAP_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLTASUKIGAP_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLTASUKIGAP_Stream stream = CDLTASUKIGAP_Stream.__new__(CDLTASUKIGAP_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLTASUKIGAP_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLTASUKIGAP_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLTASUKIGAP_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLTASUKIGAP_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLTASUKIGAP_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLTASUKIGAP_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLTASUKIGAP_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLTASUKIGAP_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLTASUKIGAP_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLTASUKIGAP_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLTASUKIGAP_Clone", retCode) + cdef CDLTASUKIGAP_Stream stream = CDLTASUKIGAP_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLTHRUSTING_Stream(Stream): """ CDLTHRUSTING(open, high, low, close) Thrusting Pattern (Pattern Recognition) @@ -2785,33 +10368,97 @@ def stream_CDLTHRUSTING( np.ndarray open not None , np.ndarray high not None , n Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLTHRUSTING( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLTHRUSTING", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLTRISTAR( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLTHRUSTING_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLTHRUSTING_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLTHRUSTING_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLTHRUSTING_Open", retCode, historylen, lib.TA_CDLTHRUSTING_Lookback() + 1) + if self._handle is not NULL: + TA_CDLTHRUSTING_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLTHRUSTING_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLTHRUSTING_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLTHRUSTING_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLTHRUSTING_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLTHRUSTING_Stream stream = CDLTHRUSTING_Stream.__new__(CDLTHRUSTING_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLTHRUSTING_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLTHRUSTING_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLTHRUSTING_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLTHRUSTING_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLTHRUSTING_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLTHRUSTING_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLTHRUSTING_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLTHRUSTING_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLTHRUSTING_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLTHRUSTING_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLTHRUSTING_Clone", retCode) + cdef CDLTHRUSTING_Stream stream = CDLTHRUSTING_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLTRISTAR_Stream(Stream): """ CDLTRISTAR(open, high, low, close) Tristar Pattern (Pattern Recognition) @@ -2821,33 +10468,97 @@ def stream_CDLTRISTAR( np.ndarray open not None , np.ndarray high not None , np. Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLTRISTAR( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLTRISTAR", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLUNIQUE3RIVER( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLTRISTAR_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLTRISTAR_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLTRISTAR_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLTRISTAR_Open", retCode, historylen, lib.TA_CDLTRISTAR_Lookback() + 1) + if self._handle is not NULL: + TA_CDLTRISTAR_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLTRISTAR_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLTRISTAR_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLTRISTAR_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLTRISTAR_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLTRISTAR_Stream stream = CDLTRISTAR_Stream.__new__(CDLTRISTAR_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLTRISTAR_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLTRISTAR_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLTRISTAR_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLTRISTAR_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLTRISTAR_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLTRISTAR_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLTRISTAR_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLTRISTAR_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLTRISTAR_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLTRISTAR_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLTRISTAR_Clone", retCode) + cdef CDLTRISTAR_Stream stream = CDLTRISTAR_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLUNIQUE3RIVER_Stream(Stream): """ CDLUNIQUE3RIVER(open, high, low, close) Unique 3 River (Pattern Recognition) @@ -2857,33 +10568,97 @@ def stream_CDLUNIQUE3RIVER( np.ndarray open not None , np.ndarray high not None Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLUNIQUE3RIVER( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLUNIQUE3RIVER", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLUPSIDEGAP2CROWS( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLUNIQUE3RIVER_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLUNIQUE3RIVER_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLUNIQUE3RIVER_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLUNIQUE3RIVER_Open", retCode, historylen, lib.TA_CDLUNIQUE3RIVER_Lookback() + 1) + if self._handle is not NULL: + TA_CDLUNIQUE3RIVER_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLUNIQUE3RIVER_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLUNIQUE3RIVER_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLUNIQUE3RIVER_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLUNIQUE3RIVER_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLUNIQUE3RIVER_Stream stream = CDLUNIQUE3RIVER_Stream.__new__(CDLUNIQUE3RIVER_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLUNIQUE3RIVER_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLUNIQUE3RIVER_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLUNIQUE3RIVER_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLUNIQUE3RIVER_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLUNIQUE3RIVER_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLUNIQUE3RIVER_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLUNIQUE3RIVER_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLUNIQUE3RIVER_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLUNIQUE3RIVER_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLUNIQUE3RIVER_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLUNIQUE3RIVER_Clone", retCode) + cdef CDLUNIQUE3RIVER_Stream stream = CDLUNIQUE3RIVER_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLUPSIDEGAP2CROWS_Stream(Stream): """ CDLUPSIDEGAP2CROWS(open, high, low, close) Upside Gap Two Crows (Pattern Recognition) @@ -2893,33 +10668,97 @@ def stream_CDLUPSIDEGAP2CROWS( np.ndarray open not None , np.ndarray high not No Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLUPSIDEGAP2CROWS( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLUPSIDEGAP2CROWS", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CDLXSIDEGAP3METHODS( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLUPSIDEGAP2CROWS_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLUPSIDEGAP2CROWS_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLUPSIDEGAP2CROWS_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLUPSIDEGAP2CROWS_Open", retCode, historylen, lib.TA_CDLUPSIDEGAP2CROWS_Lookback() + 1) + if self._handle is not NULL: + TA_CDLUPSIDEGAP2CROWS_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLUPSIDEGAP2CROWS_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLUPSIDEGAP2CROWS_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLUPSIDEGAP2CROWS_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLUPSIDEGAP2CROWS_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLUPSIDEGAP2CROWS_Stream stream = CDLUPSIDEGAP2CROWS_Stream.__new__(CDLUPSIDEGAP2CROWS_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLUPSIDEGAP2CROWS_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLUPSIDEGAP2CROWS_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLUPSIDEGAP2CROWS_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLUPSIDEGAP2CROWS_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLUPSIDEGAP2CROWS_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLUPSIDEGAP2CROWS_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLUPSIDEGAP2CROWS_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLUPSIDEGAP2CROWS_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLUPSIDEGAP2CROWS_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLUPSIDEGAP2CROWS_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLUPSIDEGAP2CROWS_Clone", retCode) + cdef CDLUPSIDEGAP2CROWS_Stream stream = CDLUPSIDEGAP2CROWS_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CDLXSIDEGAP3METHODS_Stream(Stream): """ CDLXSIDEGAP3METHODS(open, high, low, close) Upside/Downside Gap Three Methods (Pattern Recognition) @@ -2929,33 +10768,97 @@ def stream_CDLXSIDEGAP3METHODS( np.ndarray open not None , np.ndarray high not N Outputs: integer (values are -100, 0 or 100) """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - int outinteger - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outinteger = 0 - retCode = lib.TA_CDLXSIDEGAP3METHODS( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_CDLXSIDEGAP3METHODS", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CEIL( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CDLXSIDEGAP3METHODS_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CDLXSIDEGAP3METHODS_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLXSIDEGAP3METHODS_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_CDLXSIDEGAP3METHODS_Open", retCode, historylen, lib.TA_CDLXSIDEGAP3METHODS_Lookback() + 1) + if self._handle is not NULL: + TA_CDLXSIDEGAP3METHODS_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CDLXSIDEGAP3METHODS_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CDLXSIDEGAP3METHODS_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CDLXSIDEGAP3METHODS_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CDLXSIDEGAP3METHODS_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CDLXSIDEGAP3METHODS_Stream stream = CDLXSIDEGAP3METHODS_Stream.__new__(CDLXSIDEGAP3METHODS_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, high, low, close,), outinteger) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLXSIDEGAP3METHODS_Update(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLXSIDEGAP3METHODS_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLXSIDEGAP3METHODS_Peek(self._handle, open, high, low, close, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLXSIDEGAP3METHODS_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_CDLXSIDEGAP3METHODS_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_CDLXSIDEGAP3METHODS_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CDLXSIDEGAP3METHODS_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CDLXSIDEGAP3METHODS_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CDLXSIDEGAP3METHODS_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CDLXSIDEGAP3METHODS_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CDLXSIDEGAP3METHODS_Clone", retCode) + cdef CDLXSIDEGAP3METHODS_Stream stream = CDLXSIDEGAP3METHODS_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CEIL_Stream(Stream): """ CEIL(real) Vector Ceil (Math Transform) @@ -2965,24 +10868,91 @@ def stream_CEIL( np.ndarray real not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_CEIL( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_CEIL", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CMF( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , np.ndarray volume not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CEIL_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CEIL_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_CEIL_Open(&handle, a_real.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_CEIL_Open", retCode, historylen, lib.TA_CEIL_Lookback() + 1) + if self._handle is not NULL: + TA_CEIL_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CEIL_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CEIL_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CEIL_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CEIL_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CEIL_Stream stream = CEIL_Stream.__new__(CEIL_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_CEIL_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_CEIL_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_CEIL_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_CEIL_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_CEIL_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_CEIL_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CEIL_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CEIL_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CEIL_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CEIL_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CEIL_Clone", retCode) + cdef CEIL_Stream stream = CEIL_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CMF_Stream(Stream): """ CMF(high, low, close, volume[, timeperiod=?]) Chaikin Money Flow (Volume Indicators) @@ -2994,33 +10964,97 @@ def stream_CMF( np.ndarray high not None , np.ndarray low not None , np.ndarray Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - double* volume_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - volume = check_array(volume) - volume_data = volume.data - length = check_length4(high, low, close, volume) - outreal = NaN - retCode = lib.TA_CMF( (length) - 1 , (length) - 1 , high_data , low_data , close_data , volume_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_CMF", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CMO( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CMF_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, volume, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_high, a_low, a_close, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CMF_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_CMF_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, a_volume.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_CMF_Open", retCode, historylen, lib.TA_CMF_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_CMF_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, volume, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_high, a_low, a_close, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CMF_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CMF_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CMF_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, a_volume.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CMF_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CMF_Stream stream = CMF_Stream.__new__(CMF_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low, close, volume,), outreal) + + @cython.binding(False) + def update(self, double high, double low, double close, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_CMF_Update(self._handle, high, low, close, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_CMF_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low, double close, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_CMF_Peek(self._handle, high, low, close, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_CMF_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_CMF_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_CMF_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CMF_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CMF_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CMF_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CMF_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CMF_Clone", retCode) + cdef CMF_Stream stream = CMF_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CMO_Stream(Stream): """ CMO(real[, timeperiod=?]) Chande Momentum Oscillator (Momentum Indicators) @@ -3032,24 +11066,91 @@ def stream_CMO( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_CMO( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_CMO", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CMOU( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CMO_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CMO_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_CMO_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_CMO_Open", retCode, historylen, lib.TA_CMO_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_CMO_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CMO_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CMO_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CMO_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CMO_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CMO_Stream stream = CMO_Stream.__new__(CMO_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_CMO_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_CMO_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_CMO_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_CMO_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_CMO_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_CMO_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CMO_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CMO_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CMO_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CMO_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CMO_Clone", retCode) + cdef CMO_Stream stream = CMO_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CMOU_Stream(Stream): """ CMOU(real[, timeperiod=?]) Chande Momentum Oscillator (Unsmoothed) (Momentum Indicators) @@ -3061,24 +11162,91 @@ def stream_CMOU( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_CMOU( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_CMOU", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_COPPOCK( np.ndarray real not None , int wmaperiod=-2**31 , int roc1period=-2**31 , int roc2period=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CMOU_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CMOU_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_CMOU_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_CMOU_Open", retCode, historylen, lib.TA_CMOU_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_CMOU_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CMOU_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CMOU_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CMOU_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CMOU_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CMOU_Stream stream = CMOU_Stream.__new__(CMOU_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_CMOU_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_CMOU_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_CMOU_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_CMOU_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_CMOU_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_CMOU_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CMOU_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CMOU_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CMOU_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CMOU_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CMOU_Clone", retCode) + cdef CMOU_Stream stream = CMOU_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class COPPOCK_Stream(Stream): """ COPPOCK(real[, wmaperiod=?, roc1period=?, roc2period=?]) Coppock Curve (Momentum Indicators) @@ -3092,24 +11260,91 @@ def stream_COPPOCK( np.ndarray real not None , int wmaperiod=-2**31 , int roc1pe Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_COPPOCK( (length) - 1 , (length) - 1 , real_data , wmaperiod , roc1period , roc2period , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_COPPOCK", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CORREL( np.ndarray real0 not None , np.ndarray real1 not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_COPPOCK_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int wmaperiod=-2**31, int roc1period=-2**31, int roc2period=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_COPPOCK_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_COPPOCK_Open(&handle, a_real.data + begidx, historylen, wmaperiod, roc1period, roc2period, &outreal) + if retCode != 0: + _stream_open_failed("TA_COPPOCK_Open", retCode, historylen, lib.TA_COPPOCK_Lookback(wmaperiod, roc1period, roc2period) + 1) + if self._handle is not NULL: + TA_COPPOCK_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int wmaperiod=-2**31, int roc1period=-2**31, int roc2period=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_COPPOCK_Lookback(wmaperiod, roc1period, roc2period) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_COPPOCK_Stream* handle = NULL + cdef TA_RetCode retCode = TA_COPPOCK_OpenAndFill(&handle, a_real.data + begidx, historylen, wmaperiod, roc1period, roc2period, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_COPPOCK_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef COPPOCK_Stream stream = COPPOCK_Stream.__new__(COPPOCK_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_COPPOCK_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_COPPOCK_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_COPPOCK_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_COPPOCK_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_COPPOCK_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_COPPOCK_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_COPPOCK_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_COPPOCK_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_COPPOCK_Stream* clone = NULL + cdef TA_RetCode retCode = TA_COPPOCK_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_COPPOCK_Clone", retCode) + cdef COPPOCK_Stream stream = COPPOCK_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CORREL_Stream(Stream): """ CORREL(real0, real1[, timeperiod=?]) Pearson's Correlation Coefficient (r) (Statistic Functions) @@ -3122,27 +11357,93 @@ def stream_CORREL( np.ndarray real0 not None , np.ndarray real1 not None , int t Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real0_data - double* real1_data - int outbegidx - int outnbelement - double outreal - real0 = check_array(real0) - real0_data = real0.data - real1 = check_array(real1) - real1_data = real1.data - length = check_length2(real0, real1) - outreal = NaN - retCode = lib.TA_CORREL( (length) - 1 , (length) - 1 , real0_data , real1_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_CORREL", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_COS( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CORREL_Close(self._handle) + self._handle = NULL + + def __init__(self, real0, real1, int timeperiod=-2**31): + cdef np.ndarray a_real0 = _stream_input(real0) + cdef np.ndarray a_real1 = _stream_input(real1) + cdef tuple arrays = (a_real0, a_real1,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CORREL_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_CORREL_Open(&handle, a_real0.data + begidx, a_real1.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_CORREL_Open", retCode, historylen, lib.TA_CORREL_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_CORREL_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real0, real1, int timeperiod=-2**31): + cdef np.ndarray a_real0 = _stream_input(real0) + cdef np.ndarray a_real1 = _stream_input(real1) + cdef tuple arrays = (a_real0, a_real1,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CORREL_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CORREL_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CORREL_OpenAndFill(&handle, a_real0.data + begidx, a_real1.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CORREL_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CORREL_Stream stream = CORREL_Stream.__new__(CORREL_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real0, real1,), outreal) + + @cython.binding(False) + def update(self, double real0, double real1): + cdef double outreal + cdef TA_RetCode retCode = TA_CORREL_Update(self._handle, real0, real1, &outreal) + if retCode != 0: + _ta_check_success("TA_CORREL_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real0, double real1): + cdef double outreal + cdef TA_RetCode retCode = TA_CORREL_Peek(self._handle, real0, real1, &outreal) + if retCode != 0: + _ta_check_success("TA_CORREL_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_CORREL_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_CORREL_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CORREL_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CORREL_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CORREL_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CORREL_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CORREL_Clone", retCode) + cdef CORREL_Stream stream = CORREL_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class COS_Stream(Stream): """ COS(real) Vector Trigonometric Cos (Math Transform) @@ -3152,24 +11453,91 @@ def stream_COS( np.ndarray real not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_COS( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_COS", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_COSH( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_COS_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_COS_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_COS_Open(&handle, a_real.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_COS_Open", retCode, historylen, lib.TA_COS_Lookback() + 1) + if self._handle is not NULL: + TA_COS_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_COS_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_COS_Stream* handle = NULL + cdef TA_RetCode retCode = TA_COS_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_COS_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef COS_Stream stream = COS_Stream.__new__(COS_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_COS_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_COS_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_COS_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_COS_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_COS_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_COS_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_COS_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_COS_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_COS_Stream* clone = NULL + cdef TA_RetCode retCode = TA_COS_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_COS_Clone", retCode) + cdef COS_Stream stream = COS_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class COSH_Stream(Stream): """ COSH(real) Vector Trigonometric Cosh (Math Transform) @@ -3179,24 +11547,91 @@ def stream_COSH( np.ndarray real not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_COSH( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_COSH", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CUMSUM( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_COSH_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_COSH_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_COSH_Open(&handle, a_real.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_COSH_Open", retCode, historylen, lib.TA_COSH_Lookback() + 1) + if self._handle is not NULL: + TA_COSH_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_COSH_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_COSH_Stream* handle = NULL + cdef TA_RetCode retCode = TA_COSH_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_COSH_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef COSH_Stream stream = COSH_Stream.__new__(COSH_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_COSH_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_COSH_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_COSH_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_COSH_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_COSH_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_COSH_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_COSH_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_COSH_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_COSH_Stream* clone = NULL + cdef TA_RetCode retCode = TA_COSH_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_COSH_Clone", retCode) + cdef COSH_Stream stream = COSH_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CUMSUM_Stream(Stream): """ CUMSUM(real) Cumulative Sum (Math Operators) @@ -3206,24 +11641,91 @@ def stream_CUMSUM( np.ndarray real not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_CUMSUM( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_CUMSUM", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_CVI( np.ndarray high not None , np.ndarray low not None , int timeperiod=-2**31 , int rocperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CUMSUM_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CUMSUM_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_CUMSUM_Open(&handle, a_real.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_CUMSUM_Open", retCode, historylen, lib.TA_CUMSUM_Lookback() + 1) + if self._handle is not NULL: + TA_CUMSUM_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CUMSUM_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CUMSUM_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CUMSUM_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CUMSUM_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CUMSUM_Stream stream = CUMSUM_Stream.__new__(CUMSUM_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_CUMSUM_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_CUMSUM_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_CUMSUM_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_CUMSUM_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_CUMSUM_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_CUMSUM_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CUMSUM_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CUMSUM_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CUMSUM_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CUMSUM_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CUMSUM_Clone", retCode) + cdef CUMSUM_Stream stream = CUMSUM_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class CVI_Stream(Stream): """ CVI(high, low[, timeperiod=?, rocperiod=?]) Chaikin's Volatility (Volatility Indicators) @@ -3236,27 +11738,93 @@ def stream_CVI( np.ndarray high not None , np.ndarray low not None , int timeper Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - length = check_length2(high, low) - outreal = NaN - retCode = lib.TA_CVI( (length) - 1 , (length) - 1 , high_data , low_data , timeperiod , rocperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_CVI", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_DEMA( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_CVI_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, int timeperiod=-2**31, int rocperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_CVI_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_CVI_Open(&handle, a_high.data + begidx, a_low.data + begidx, historylen, timeperiod, rocperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_CVI_Open", retCode, historylen, lib.TA_CVI_Lookback(timeperiod, rocperiod) + 1) + if self._handle is not NULL: + TA_CVI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, int timeperiod=-2**31, int rocperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_CVI_Lookback(timeperiod, rocperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_CVI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_CVI_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, historylen, timeperiod, rocperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_CVI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef CVI_Stream stream = CVI_Stream.__new__(CVI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low,), outreal) + + @cython.binding(False) + def update(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_CVI_Update(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_CVI_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_CVI_Peek(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_CVI_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_CVI_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_CVI_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_CVI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_CVI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_CVI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_CVI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_CVI_Clone", retCode) + cdef CVI_Stream stream = CVI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class DEMA_Stream(Stream): """ DEMA(real[, timeperiod=?]) Double Exponential Moving Average (Overlap Studies) @@ -3268,24 +11836,91 @@ def stream_DEMA( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_DEMA( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_DEMA", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_DIV( np.ndarray real0 not None , np.ndarray real1 not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_DEMA_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_DEMA_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_DEMA_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_DEMA_Open", retCode, historylen, lib.TA_DEMA_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_DEMA_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_DEMA_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_DEMA_Stream* handle = NULL + cdef TA_RetCode retCode = TA_DEMA_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_DEMA_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef DEMA_Stream stream = DEMA_Stream.__new__(DEMA_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_DEMA_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_DEMA_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_DEMA_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_DEMA_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_DEMA_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_DEMA_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_DEMA_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_DEMA_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_DEMA_Stream* clone = NULL + cdef TA_RetCode retCode = TA_DEMA_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_DEMA_Clone", retCode) + cdef DEMA_Stream stream = DEMA_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class DIV_Stream(Stream): """ DIV(real0, real1) Vector Arithmetic Div (Math Operators) @@ -3296,27 +11931,95 @@ def stream_DIV( np.ndarray real0 not None , np.ndarray real1 not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real0_data - double* real1_data - int outbegidx - int outnbelement - double outreal - real0 = check_array(real0) - real0_data = real0.data - real1 = check_array(real1) - real1_data = real1.data - length = check_length2(real0, real1) - outreal = NaN - retCode = lib.TA_DIV( (length) - 1 , (length) - 1 , real0_data , real1_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_DIV", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_DONCHIAN( np.ndarray high not None , np.ndarray low not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_DIV_Close(self._handle) + self._handle = NULL + + def __init__(self, real0, real1): + cdef np.ndarray a_real0 = _stream_input(real0) + cdef np.ndarray a_real1 = _stream_input(real1) + cdef tuple arrays = (a_real0, a_real1,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_DIV_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_DIV_Open(&handle, a_real0.data + begidx, a_real1.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_DIV_Open", retCode, historylen, lib.TA_DIV_Lookback() + 1) + if self._handle is not NULL: + TA_DIV_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real0, real1): + cdef np.ndarray a_real0 = _stream_input(real0) + cdef np.ndarray a_real1 = _stream_input(real1) + cdef tuple arrays = (a_real0, a_real1,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_DIV_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_DIV_Stream* handle = NULL + cdef TA_RetCode retCode = TA_DIV_OpenAndFill(&handle, a_real0.data + begidx, a_real1.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_DIV_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef DIV_Stream stream = DIV_Stream.__new__(DIV_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real0, real1,), outreal) + + @cython.binding(False) + def update(self, double real0, double real1): + cdef double outreal + cdef TA_RetCode retCode = TA_DIV_Update(self._handle, real0, real1, &outreal) + if retCode != 0: + _ta_check_success("TA_DIV_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real0, double real1): + cdef double outreal + cdef TA_RetCode retCode = TA_DIV_Peek(self._handle, real0, real1, &outreal) + if retCode != 0: + _ta_check_success("TA_DIV_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_DIV_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_DIV_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_DIV_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_DIV_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_DIV_Stream* clone = NULL + cdef TA_RetCode retCode = TA_DIV_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_DIV_Clone", retCode) + cdef DIV_Stream stream = DIV_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +DONCHIAN_Value = namedtuple("DONCHIAN_Value", "upperband middleband lowerband", module=__name__) + +cdef class DONCHIAN_Stream(Stream): """ DONCHIAN(high, low[, timeperiod=?]) Donchian Channels (Overlap Studies) @@ -3330,31 +12033,103 @@ def stream_DONCHIAN( np.ndarray high not None , np.ndarray low not None , int ti middleband lowerband """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - int outbegidx - int outnbelement - double outrealupperband - double outrealmiddleband - double outreallowerband - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - length = check_length2(high, low) - outrealupperband = NaN - outrealmiddleband = NaN - outreallowerband = NaN - retCode = lib.TA_DONCHIAN( (length) - 1 , (length) - 1 , high_data , low_data , timeperiod , &outbegidx , &outnbelement , &outrealupperband , &outrealmiddleband , &outreallowerband ) - _ta_check_success("TA_DONCHIAN", retCode) - return outrealupperband , outrealmiddleband , outreallowerband - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_DPO( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_DONCHIAN_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_DONCHIAN_Stream* handle = NULL + cdef double outupperband + cdef double outmiddleband + cdef double outlowerband + cdef TA_RetCode retCode = TA_DONCHIAN_Open(&handle, a_high.data + begidx, a_low.data + begidx, historylen, timeperiod, &outupperband, &outmiddleband, &outlowerband) + if retCode != 0: + _stream_open_failed("TA_DONCHIAN_Open", retCode, historylen, lib.TA_DONCHIAN_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_DONCHIAN_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_DONCHIAN_Lookback(timeperiod) + cdef np.ndarray outupperband = make_double_array(length, lookback) + cdef np.ndarray outmiddleband = make_double_array(length, lookback) + cdef np.ndarray outlowerband = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_DONCHIAN_Stream* handle = NULL + cdef TA_RetCode retCode = TA_DONCHIAN_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outupperband.data + lookback, outmiddleband.data + lookback, outlowerband.data + lookback) + if retCode != 0: + _stream_open_failed("TA_DONCHIAN_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef DONCHIAN_Stream stream = DONCHIAN_Stream.__new__(DONCHIAN_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, DONCHIAN_Value(_stream_like((high, low,), outupperband), _stream_like((high, low,), outmiddleband), _stream_like((high, low,), outlowerband)) + + @cython.binding(False) + def update(self, double high, double low): + cdef double outupperband + cdef double outmiddleband + cdef double outlowerband + cdef TA_RetCode retCode = TA_DONCHIAN_Update(self._handle, high, low, &outupperband, &outmiddleband, &outlowerband) + if retCode != 0: + _ta_check_success("TA_DONCHIAN_Update", retCode) + return DONCHIAN_Value(outupperband, outmiddleband, outlowerband) + + @cython.binding(False) + def peek(self, double high, double low): + cdef double outupperband + cdef double outmiddleband + cdef double outlowerband + cdef TA_RetCode retCode = TA_DONCHIAN_Peek(self._handle, high, low, &outupperband, &outmiddleband, &outlowerband) + if retCode != 0: + _ta_check_success("TA_DONCHIAN_Peek", retCode) + return DONCHIAN_Value(outupperband, outmiddleband, outlowerband) + + @property + def value(self): + cdef double outupperband + cdef double outmiddleband + cdef double outlowerband + cdef TA_RetCode retCode = TA_DONCHIAN_Value(self._handle, &outupperband, &outmiddleband, &outlowerband) + if retCode != 0: + _ta_check_success("TA_DONCHIAN_Value", retCode) + return DONCHIAN_Value(outupperband, outmiddleband, outlowerband) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_DONCHIAN_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_DONCHIAN_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_DONCHIAN_Stream* clone = NULL + cdef TA_RetCode retCode = TA_DONCHIAN_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_DONCHIAN_Clone", retCode) + cdef DONCHIAN_Stream stream = DONCHIAN_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class DPO_Stream(Stream): """ DPO(real[, timeperiod=?]) Detrended Price Oscillator (Momentum Indicators) @@ -3366,24 +12141,91 @@ def stream_DPO( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_DPO( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_DPO", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_DX( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_DPO_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_DPO_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_DPO_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_DPO_Open", retCode, historylen, lib.TA_DPO_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_DPO_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_DPO_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_DPO_Stream* handle = NULL + cdef TA_RetCode retCode = TA_DPO_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_DPO_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef DPO_Stream stream = DPO_Stream.__new__(DPO_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_DPO_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_DPO_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_DPO_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_DPO_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_DPO_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_DPO_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_DPO_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_DPO_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_DPO_Stream* clone = NULL + cdef TA_RetCode retCode = TA_DPO_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_DPO_Clone", retCode) + cdef DPO_Stream stream = DPO_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class DX_Stream(Stream): """ DX(high, low, close[, timeperiod=?]) Directional Movement Index (Momentum Indicators) @@ -3395,30 +12237,95 @@ def stream_DX( np.ndarray high not None , np.ndarray low not None , np.ndarray c Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outreal = NaN - retCode = lib.TA_DX( (length) - 1 , (length) - 1 , high_data , low_data , close_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_DX", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_EFI( np.ndarray close not None , np.ndarray volume not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_DX_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_DX_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_DX_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_DX_Open", retCode, historylen, lib.TA_DX_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_DX_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_DX_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_DX_Stream* handle = NULL + cdef TA_RetCode retCode = TA_DX_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_DX_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef DX_Stream stream = DX_Stream.__new__(DX_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low, close,), outreal) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_DX_Update(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_DX_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_DX_Peek(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_DX_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_DX_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_DX_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_DX_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_DX_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_DX_Stream* clone = NULL + cdef TA_RetCode retCode = TA_DX_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_DX_Clone", retCode) + cdef DX_Stream stream = DX_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class EFI_Stream(Stream): """ EFI(close, volume[, timeperiod=?]) Elder's Force Index (Volume Indicators) @@ -3430,27 +12337,93 @@ def stream_EFI( np.ndarray close not None , np.ndarray volume not None , int tim Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* close_data - double* volume_data - int outbegidx - int outnbelement - double outreal - close = check_array(close) - close_data = close.data - volume = check_array(volume) - volume_data = volume.data - length = check_length2(close, volume) - outreal = NaN - retCode = lib.TA_EFI( (length) - 1 , (length) - 1 , close_data , volume_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_EFI", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_EMA( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_EFI_Close(self._handle) + self._handle = NULL + + def __init__(self, close, volume, int timeperiod=-2**31): + cdef np.ndarray a_close = _stream_input(close) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_close, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_EFI_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_EFI_Open(&handle, a_close.data + begidx, a_volume.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_EFI_Open", retCode, historylen, lib.TA_EFI_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_EFI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(close, volume, int timeperiod=-2**31): + cdef np.ndarray a_close = _stream_input(close) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_close, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_EFI_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_EFI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_EFI_OpenAndFill(&handle, a_close.data + begidx, a_volume.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_EFI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef EFI_Stream stream = EFI_Stream.__new__(EFI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((close, volume,), outreal) + + @cython.binding(False) + def update(self, double close, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_EFI_Update(self._handle, close, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_EFI_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double close, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_EFI_Peek(self._handle, close, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_EFI_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_EFI_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_EFI_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_EFI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_EFI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_EFI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_EFI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_EFI_Clone", retCode) + cdef EFI_Stream stream = EFI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class EMA_Stream(Stream): """ EMA(real[, timeperiod=?]) Exponential Moving Average (Overlap Studies) @@ -3462,24 +12435,91 @@ def stream_EMA( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_EMA( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_EMA", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_ER( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_EMA_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_EMA_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_EMA_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_EMA_Open", retCode, historylen, lib.TA_EMA_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_EMA_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_EMA_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_EMA_Stream* handle = NULL + cdef TA_RetCode retCode = TA_EMA_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_EMA_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef EMA_Stream stream = EMA_Stream.__new__(EMA_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_EMA_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_EMA_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_EMA_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_EMA_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_EMA_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_EMA_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_EMA_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_EMA_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_EMA_Stream* clone = NULL + cdef TA_RetCode retCode = TA_EMA_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_EMA_Clone", retCode) + cdef EMA_Stream stream = EMA_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class ER_Stream(Stream): """ ER(real[, timeperiod=?]) Kaufman Efficiency Ratio (Momentum Indicators) @@ -3491,24 +12531,93 @@ def stream_ER( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_ER( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_ER", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_ERI( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_ER_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_ER_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_ER_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_ER_Open", retCode, historylen, lib.TA_ER_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_ER_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_ER_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_ER_Stream* handle = NULL + cdef TA_RetCode retCode = TA_ER_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_ER_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef ER_Stream stream = ER_Stream.__new__(ER_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_ER_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_ER_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_ER_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_ER_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_ER_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_ER_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_ER_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_ER_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_ER_Stream* clone = NULL + cdef TA_RetCode retCode = TA_ER_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_ER_Clone", retCode) + cdef ER_Stream stream = ER_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +ERI_Value = namedtuple("ERI_Value", "bullpower bearpower", module=__name__) + +cdef class ERI_Stream(Stream): """ ERI(high, low, close[, timeperiod=?]) Elder Ray Index (Bull Power / Bear Power) (Momentum Indicators) @@ -3521,32 +12630,100 @@ def stream_ERI( np.ndarray high not None , np.ndarray low not None , np.ndarray bullpower bearpower """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outbullpower - double outbearpower - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outbullpower = NaN - outbearpower = NaN - retCode = lib.TA_ERI( (length) - 1 , (length) - 1 , high_data , low_data , close_data , timeperiod , &outbegidx , &outnbelement , &outbullpower , &outbearpower ) - _ta_check_success("TA_ERI", retCode) - return outbullpower , outbearpower - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_EXP( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_ERI_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_ERI_Stream* handle = NULL + cdef double outbullpower + cdef double outbearpower + cdef TA_RetCode retCode = TA_ERI_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outbullpower, &outbearpower) + if retCode != 0: + _stream_open_failed("TA_ERI_Open", retCode, historylen, lib.TA_ERI_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_ERI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_ERI_Lookback(timeperiod) + cdef np.ndarray outbullpower = make_double_array(length, lookback) + cdef np.ndarray outbearpower = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_ERI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_ERI_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outbullpower.data + lookback, outbearpower.data + lookback) + if retCode != 0: + _stream_open_failed("TA_ERI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef ERI_Stream stream = ERI_Stream.__new__(ERI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, ERI_Value(_stream_like((high, low, close,), outbullpower), _stream_like((high, low, close,), outbearpower)) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outbullpower + cdef double outbearpower + cdef TA_RetCode retCode = TA_ERI_Update(self._handle, high, low, close, &outbullpower, &outbearpower) + if retCode != 0: + _ta_check_success("TA_ERI_Update", retCode) + return ERI_Value(outbullpower, outbearpower) + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outbullpower + cdef double outbearpower + cdef TA_RetCode retCode = TA_ERI_Peek(self._handle, high, low, close, &outbullpower, &outbearpower) + if retCode != 0: + _ta_check_success("TA_ERI_Peek", retCode) + return ERI_Value(outbullpower, outbearpower) + + @property + def value(self): + cdef double outbullpower + cdef double outbearpower + cdef TA_RetCode retCode = TA_ERI_Value(self._handle, &outbullpower, &outbearpower) + if retCode != 0: + _ta_check_success("TA_ERI_Value", retCode) + return ERI_Value(outbullpower, outbearpower) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_ERI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_ERI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_ERI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_ERI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_ERI_Clone", retCode) + cdef ERI_Stream stream = ERI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class EXP_Stream(Stream): """ EXP(real) Vector Arithmetic Exp (Math Transform) @@ -3556,24 +12733,91 @@ def stream_EXP( np.ndarray real not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_EXP( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_EXP", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_FLOOR( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_EXP_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_EXP_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_EXP_Open(&handle, a_real.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_EXP_Open", retCode, historylen, lib.TA_EXP_Lookback() + 1) + if self._handle is not NULL: + TA_EXP_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_EXP_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_EXP_Stream* handle = NULL + cdef TA_RetCode retCode = TA_EXP_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_EXP_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef EXP_Stream stream = EXP_Stream.__new__(EXP_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_EXP_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_EXP_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_EXP_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_EXP_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_EXP_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_EXP_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_EXP_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_EXP_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_EXP_Stream* clone = NULL + cdef TA_RetCode retCode = TA_EXP_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_EXP_Clone", retCode) + cdef EXP_Stream stream = EXP_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class FLOOR_Stream(Stream): """ FLOOR(real) Vector Floor (Math Transform) @@ -3583,24 +12827,91 @@ def stream_FLOOR( np.ndarray real not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_FLOOR( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_FLOOR", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_FOSC( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_FLOOR_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_FLOOR_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_FLOOR_Open(&handle, a_real.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_FLOOR_Open", retCode, historylen, lib.TA_FLOOR_Lookback() + 1) + if self._handle is not NULL: + TA_FLOOR_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_FLOOR_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_FLOOR_Stream* handle = NULL + cdef TA_RetCode retCode = TA_FLOOR_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_FLOOR_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef FLOOR_Stream stream = FLOOR_Stream.__new__(FLOOR_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_FLOOR_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_FLOOR_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_FLOOR_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_FLOOR_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_FLOOR_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_FLOOR_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_FLOOR_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_FLOOR_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_FLOOR_Stream* clone = NULL + cdef TA_RetCode retCode = TA_FLOOR_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_FLOOR_Clone", retCode) + cdef FLOOR_Stream stream = FLOOR_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class FOSC_Stream(Stream): """ FOSC(real[, timeperiod=?]) Forecast Oscillator (Momentum Indicators) @@ -3612,24 +12923,93 @@ def stream_FOSC( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_FOSC( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_FOSC", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_FRACTAL( np.ndarray high not None , np.ndarray low not None , int leftbars=-2**31 , int rightbars=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_FOSC_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_FOSC_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_FOSC_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_FOSC_Open", retCode, historylen, lib.TA_FOSC_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_FOSC_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_FOSC_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_FOSC_Stream* handle = NULL + cdef TA_RetCode retCode = TA_FOSC_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_FOSC_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef FOSC_Stream stream = FOSC_Stream.__new__(FOSC_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_FOSC_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_FOSC_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_FOSC_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_FOSC_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_FOSC_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_FOSC_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_FOSC_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_FOSC_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_FOSC_Stream* clone = NULL + cdef TA_RetCode retCode = TA_FOSC_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_FOSC_Clone", retCode) + cdef FOSC_Stream stream = FOSC_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +FRACTAL_Value = namedtuple("FRACTAL_Value", "swinghigh swinglow", module=__name__) + +cdef class FRACTAL_Stream(Stream): """ FRACTAL(high, low[, leftbars=?, rightbars=?]) Williams Fractal (Momentum Indicators) @@ -3643,29 +13023,100 @@ def stream_FRACTAL( np.ndarray high not None , np.ndarray low not None , int lef swinghigh swinglow """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - int outbegidx - int outnbelement - int outswinghigh - int outswinglow - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - length = check_length2(high, low) - outswinghigh = 0 - outswinglow = 0 - retCode = lib.TA_FRACTAL( (length) - 1 , (length) - 1 , high_data , low_data , leftbars , rightbars , &outbegidx , &outnbelement , &outswinghigh , &outswinglow ) - _ta_check_success("TA_FRACTAL", retCode) - return outswinghigh , outswinglow - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_HA( np.ndarray open not None , np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_FRACTAL_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, int leftbars=-2**31, int rightbars=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_FRACTAL_Stream* handle = NULL + cdef int outswinghigh + cdef int outswinglow + cdef TA_RetCode retCode = TA_FRACTAL_Open(&handle, a_high.data + begidx, a_low.data + begidx, historylen, leftbars, rightbars, &outswinghigh, &outswinglow) + if retCode != 0: + _stream_open_failed("TA_FRACTAL_Open", retCode, historylen, lib.TA_FRACTAL_Lookback(leftbars, rightbars) + 1) + if self._handle is not NULL: + TA_FRACTAL_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, int leftbars=-2**31, int rightbars=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_FRACTAL_Lookback(leftbars, rightbars) + cdef np.ndarray outswinghigh = make_int_array(length, lookback) + cdef np.ndarray outswinglow = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_FRACTAL_Stream* handle = NULL + cdef TA_RetCode retCode = TA_FRACTAL_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, historylen, leftbars, rightbars, &outbegidx, &outnbelement, outswinghigh.data + lookback, outswinglow.data + lookback) + if retCode != 0: + _stream_open_failed("TA_FRACTAL_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef FRACTAL_Stream stream = FRACTAL_Stream.__new__(FRACTAL_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, FRACTAL_Value(_stream_like((high, low,), outswinghigh), _stream_like((high, low,), outswinglow)) + + @cython.binding(False) + def update(self, double high, double low): + cdef int outswinghigh + cdef int outswinglow + cdef TA_RetCode retCode = TA_FRACTAL_Update(self._handle, high, low, &outswinghigh, &outswinglow) + if retCode != 0: + _ta_check_success("TA_FRACTAL_Update", retCode) + return FRACTAL_Value(outswinghigh, outswinglow) + + @cython.binding(False) + def peek(self, double high, double low): + cdef int outswinghigh + cdef int outswinglow + cdef TA_RetCode retCode = TA_FRACTAL_Peek(self._handle, high, low, &outswinghigh, &outswinglow) + if retCode != 0: + _ta_check_success("TA_FRACTAL_Peek", retCode) + return FRACTAL_Value(outswinghigh, outswinglow) + + @property + def value(self): + cdef int outswinghigh + cdef int outswinglow + cdef TA_RetCode retCode = TA_FRACTAL_Value(self._handle, &outswinghigh, &outswinglow) + if retCode != 0: + _ta_check_success("TA_FRACTAL_Value", retCode) + return FRACTAL_Value(outswinghigh, outswinglow) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_FRACTAL_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_FRACTAL_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_FRACTAL_Stream* clone = NULL + cdef TA_RetCode retCode = TA_FRACTAL_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_FRACTAL_Clone", retCode) + cdef FRACTAL_Stream stream = FRACTAL_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +HA_Value = namedtuple("HA_Value", "haopen hahigh halow haclose", module=__name__) + +cdef class HA_Stream(Stream): """ HA(open, high, low, close) Heikin-Ashi Candles (Price Transform) @@ -3678,39 +13129,112 @@ def stream_HA( np.ndarray open not None , np.ndarray high not None , np.ndarray halow haclose """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outhaopen - double outhahigh - double outhalow - double outhaclose - open = check_array(open) - open_data = open.data - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length4(open, high, low, close) - outhaopen = NaN - outhahigh = NaN - outhalow = NaN - outhaclose = NaN - retCode = lib.TA_HA( (length) - 1 , (length) - 1 , open_data , high_data , low_data , close_data , &outbegidx , &outnbelement , &outhaopen , &outhahigh , &outhalow , &outhaclose ) - _ta_check_success("TA_HA", retCode) - return outhaopen , outhahigh , outhalow , outhaclose - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_HMA( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_HA_Close(self._handle) + self._handle = NULL + + def __init__(self, open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_HA_Stream* handle = NULL + cdef double outhaopen + cdef double outhahigh + cdef double outhalow + cdef double outhaclose + cdef TA_RetCode retCode = TA_HA_Open(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outhaopen, &outhahigh, &outhalow, &outhaclose) + if retCode != 0: + _stream_open_failed("TA_HA_Open", retCode, historylen, lib.TA_HA_Lookback() + 1) + if self._handle is not NULL: + TA_HA_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, high, low, close): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_HA_Lookback() + cdef np.ndarray outhaopen = make_double_array(length, lookback) + cdef np.ndarray outhahigh = make_double_array(length, lookback) + cdef np.ndarray outhalow = make_double_array(length, lookback) + cdef np.ndarray outhaclose = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_HA_Stream* handle = NULL + cdef TA_RetCode retCode = TA_HA_OpenAndFill(&handle, a_open.data + begidx, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outhaopen.data + lookback, outhahigh.data + lookback, outhalow.data + lookback, outhaclose.data + lookback) + if retCode != 0: + _stream_open_failed("TA_HA_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef HA_Stream stream = HA_Stream.__new__(HA_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, HA_Value(_stream_like((open, high, low, close,), outhaopen), _stream_like((open, high, low, close,), outhahigh), _stream_like((open, high, low, close,), outhalow), _stream_like((open, high, low, close,), outhaclose)) + + @cython.binding(False) + def update(self, double open, double high, double low, double close): + cdef double outhaopen + cdef double outhahigh + cdef double outhalow + cdef double outhaclose + cdef TA_RetCode retCode = TA_HA_Update(self._handle, open, high, low, close, &outhaopen, &outhahigh, &outhalow, &outhaclose) + if retCode != 0: + _ta_check_success("TA_HA_Update", retCode) + return HA_Value(outhaopen, outhahigh, outhalow, outhaclose) + + @cython.binding(False) + def peek(self, double open, double high, double low, double close): + cdef double outhaopen + cdef double outhahigh + cdef double outhalow + cdef double outhaclose + cdef TA_RetCode retCode = TA_HA_Peek(self._handle, open, high, low, close, &outhaopen, &outhahigh, &outhalow, &outhaclose) + if retCode != 0: + _ta_check_success("TA_HA_Peek", retCode) + return HA_Value(outhaopen, outhahigh, outhalow, outhaclose) + + @property + def value(self): + cdef double outhaopen + cdef double outhahigh + cdef double outhalow + cdef double outhaclose + cdef TA_RetCode retCode = TA_HA_Value(self._handle, &outhaopen, &outhahigh, &outhalow, &outhaclose) + if retCode != 0: + _ta_check_success("TA_HA_Value", retCode) + return HA_Value(outhaopen, outhahigh, outhalow, outhaclose) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_HA_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_HA_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_HA_Stream* clone = NULL + cdef TA_RetCode retCode = TA_HA_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_HA_Clone", retCode) + cdef HA_Stream stream = HA_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class HMA_Stream(Stream): """ HMA(real[, timeperiod=?]) Hull Moving Average (Overlap Studies) @@ -3722,24 +13246,91 @@ def stream_HMA( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_HMA( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_HMA", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_HT_DCPERIOD( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_HMA_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_HMA_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_HMA_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_HMA_Open", retCode, historylen, lib.TA_HMA_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_HMA_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_HMA_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_HMA_Stream* handle = NULL + cdef TA_RetCode retCode = TA_HMA_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_HMA_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef HMA_Stream stream = HMA_Stream.__new__(HMA_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_HMA_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_HMA_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_HMA_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_HMA_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_HMA_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_HMA_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_HMA_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_HMA_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_HMA_Stream* clone = NULL + cdef TA_RetCode retCode = TA_HMA_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_HMA_Clone", retCode) + cdef HMA_Stream stream = HMA_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class HT_DCPERIOD_Stream(Stream): """ HT_DCPERIOD(real) Hilbert Transform - Dominant Cycle Period (Cycle Indicators) @@ -3749,24 +13340,91 @@ def stream_HT_DCPERIOD( np.ndarray real not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_HT_DCPERIOD( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_HT_DCPERIOD", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_HT_DCPHASE( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_HT_DCPERIOD_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_HT_DCPERIOD_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_HT_DCPERIOD_Open(&handle, a_real.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_HT_DCPERIOD_Open", retCode, historylen, lib.TA_HT_DCPERIOD_Lookback() + 1) + if self._handle is not NULL: + TA_HT_DCPERIOD_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_HT_DCPERIOD_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_HT_DCPERIOD_Stream* handle = NULL + cdef TA_RetCode retCode = TA_HT_DCPERIOD_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_HT_DCPERIOD_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef HT_DCPERIOD_Stream stream = HT_DCPERIOD_Stream.__new__(HT_DCPERIOD_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_HT_DCPERIOD_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_HT_DCPERIOD_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_HT_DCPERIOD_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_HT_DCPERIOD_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_HT_DCPERIOD_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_HT_DCPERIOD_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_HT_DCPERIOD_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_HT_DCPERIOD_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_HT_DCPERIOD_Stream* clone = NULL + cdef TA_RetCode retCode = TA_HT_DCPERIOD_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_HT_DCPERIOD_Clone", retCode) + cdef HT_DCPERIOD_Stream stream = HT_DCPERIOD_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class HT_DCPHASE_Stream(Stream): """ HT_DCPHASE(real) Hilbert Transform - Dominant Cycle Phase (Cycle Indicators) @@ -3776,24 +13434,93 @@ def stream_HT_DCPHASE( np.ndarray real not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_HT_DCPHASE( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_HT_DCPHASE", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_HT_PHASOR( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_HT_DCPHASE_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_HT_DCPHASE_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_HT_DCPHASE_Open(&handle, a_real.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_HT_DCPHASE_Open", retCode, historylen, lib.TA_HT_DCPHASE_Lookback() + 1) + if self._handle is not NULL: + TA_HT_DCPHASE_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_HT_DCPHASE_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_HT_DCPHASE_Stream* handle = NULL + cdef TA_RetCode retCode = TA_HT_DCPHASE_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_HT_DCPHASE_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef HT_DCPHASE_Stream stream = HT_DCPHASE_Stream.__new__(HT_DCPHASE_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_HT_DCPHASE_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_HT_DCPHASE_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_HT_DCPHASE_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_HT_DCPHASE_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_HT_DCPHASE_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_HT_DCPHASE_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_HT_DCPHASE_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_HT_DCPHASE_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_HT_DCPHASE_Stream* clone = NULL + cdef TA_RetCode retCode = TA_HT_DCPHASE_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_HT_DCPHASE_Clone", retCode) + cdef HT_DCPHASE_Stream stream = HT_DCPHASE_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +HT_PHASOR_Value = namedtuple("HT_PHASOR_Value", "inphase quadrature", module=__name__) + +cdef class HT_PHASOR_Stream(Stream): """ HT_PHASOR(real) Hilbert Transform - Phasor Components (Cycle Indicators) @@ -3804,26 +13531,98 @@ def stream_HT_PHASOR( np.ndarray real not None ): inphase quadrature """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outinphase - double outquadrature - real = check_array(real) - real_data = real.data - length = real.shape[0] - outinphase = NaN - outquadrature = NaN - retCode = lib.TA_HT_PHASOR( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outinphase , &outquadrature ) - _ta_check_success("TA_HT_PHASOR", retCode) - return outinphase , outquadrature - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_HT_SINE( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_HT_PHASOR_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_HT_PHASOR_Stream* handle = NULL + cdef double outinphase + cdef double outquadrature + cdef TA_RetCode retCode = TA_HT_PHASOR_Open(&handle, a_real.data + begidx, historylen, &outinphase, &outquadrature) + if retCode != 0: + _stream_open_failed("TA_HT_PHASOR_Open", retCode, historylen, lib.TA_HT_PHASOR_Lookback() + 1) + if self._handle is not NULL: + TA_HT_PHASOR_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_HT_PHASOR_Lookback() + cdef np.ndarray outinphase = make_double_array(length, lookback) + cdef np.ndarray outquadrature = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_HT_PHASOR_Stream* handle = NULL + cdef TA_RetCode retCode = TA_HT_PHASOR_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outinphase.data + lookback, outquadrature.data + lookback) + if retCode != 0: + _stream_open_failed("TA_HT_PHASOR_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef HT_PHASOR_Stream stream = HT_PHASOR_Stream.__new__(HT_PHASOR_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, HT_PHASOR_Value(_stream_like((real,), outinphase), _stream_like((real,), outquadrature)) + + @cython.binding(False) + def update(self, double real): + cdef double outinphase + cdef double outquadrature + cdef TA_RetCode retCode = TA_HT_PHASOR_Update(self._handle, real, &outinphase, &outquadrature) + if retCode != 0: + _ta_check_success("TA_HT_PHASOR_Update", retCode) + return HT_PHASOR_Value(outinphase, outquadrature) + + @cython.binding(False) + def peek(self, double real): + cdef double outinphase + cdef double outquadrature + cdef TA_RetCode retCode = TA_HT_PHASOR_Peek(self._handle, real, &outinphase, &outquadrature) + if retCode != 0: + _ta_check_success("TA_HT_PHASOR_Peek", retCode) + return HT_PHASOR_Value(outinphase, outquadrature) + + @property + def value(self): + cdef double outinphase + cdef double outquadrature + cdef TA_RetCode retCode = TA_HT_PHASOR_Value(self._handle, &outinphase, &outquadrature) + if retCode != 0: + _ta_check_success("TA_HT_PHASOR_Value", retCode) + return HT_PHASOR_Value(outinphase, outquadrature) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_HT_PHASOR_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_HT_PHASOR_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_HT_PHASOR_Stream* clone = NULL + cdef TA_RetCode retCode = TA_HT_PHASOR_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_HT_PHASOR_Clone", retCode) + cdef HT_PHASOR_Stream stream = HT_PHASOR_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +HT_SINE_Value = namedtuple("HT_SINE_Value", "sine leadsine", module=__name__) + +cdef class HT_SINE_Stream(Stream): """ HT_SINE(real) Hilbert Transform - SineWave (Cycle Indicators) @@ -3834,26 +13633,96 @@ def stream_HT_SINE( np.ndarray real not None ): sine leadsine """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outsine - double outleadsine - real = check_array(real) - real_data = real.data - length = real.shape[0] - outsine = NaN - outleadsine = NaN - retCode = lib.TA_HT_SINE( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outsine , &outleadsine ) - _ta_check_success("TA_HT_SINE", retCode) - return outsine , outleadsine - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_HT_TRENDLINE( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_HT_SINE_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_HT_SINE_Stream* handle = NULL + cdef double outsine + cdef double outleadsine + cdef TA_RetCode retCode = TA_HT_SINE_Open(&handle, a_real.data + begidx, historylen, &outsine, &outleadsine) + if retCode != 0: + _stream_open_failed("TA_HT_SINE_Open", retCode, historylen, lib.TA_HT_SINE_Lookback() + 1) + if self._handle is not NULL: + TA_HT_SINE_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_HT_SINE_Lookback() + cdef np.ndarray outsine = make_double_array(length, lookback) + cdef np.ndarray outleadsine = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_HT_SINE_Stream* handle = NULL + cdef TA_RetCode retCode = TA_HT_SINE_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outsine.data + lookback, outleadsine.data + lookback) + if retCode != 0: + _stream_open_failed("TA_HT_SINE_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef HT_SINE_Stream stream = HT_SINE_Stream.__new__(HT_SINE_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, HT_SINE_Value(_stream_like((real,), outsine), _stream_like((real,), outleadsine)) + + @cython.binding(False) + def update(self, double real): + cdef double outsine + cdef double outleadsine + cdef TA_RetCode retCode = TA_HT_SINE_Update(self._handle, real, &outsine, &outleadsine) + if retCode != 0: + _ta_check_success("TA_HT_SINE_Update", retCode) + return HT_SINE_Value(outsine, outleadsine) + + @cython.binding(False) + def peek(self, double real): + cdef double outsine + cdef double outleadsine + cdef TA_RetCode retCode = TA_HT_SINE_Peek(self._handle, real, &outsine, &outleadsine) + if retCode != 0: + _ta_check_success("TA_HT_SINE_Peek", retCode) + return HT_SINE_Value(outsine, outleadsine) + + @property + def value(self): + cdef double outsine + cdef double outleadsine + cdef TA_RetCode retCode = TA_HT_SINE_Value(self._handle, &outsine, &outleadsine) + if retCode != 0: + _ta_check_success("TA_HT_SINE_Value", retCode) + return HT_SINE_Value(outsine, outleadsine) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_HT_SINE_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_HT_SINE_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_HT_SINE_Stream* clone = NULL + cdef TA_RetCode retCode = TA_HT_SINE_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_HT_SINE_Clone", retCode) + cdef HT_SINE_Stream stream = HT_SINE_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class HT_TRENDLINE_Stream(Stream): """ HT_TRENDLINE(real) Hilbert Transform - Instantaneous Trendline (Overlap Studies) @@ -3863,24 +13732,91 @@ def stream_HT_TRENDLINE( np.ndarray real not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_HT_TRENDLINE( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_HT_TRENDLINE", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_HT_TRENDMODE( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_HT_TRENDLINE_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_HT_TRENDLINE_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_HT_TRENDLINE_Open(&handle, a_real.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_HT_TRENDLINE_Open", retCode, historylen, lib.TA_HT_TRENDLINE_Lookback() + 1) + if self._handle is not NULL: + TA_HT_TRENDLINE_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_HT_TRENDLINE_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_HT_TRENDLINE_Stream* handle = NULL + cdef TA_RetCode retCode = TA_HT_TRENDLINE_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_HT_TRENDLINE_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef HT_TRENDLINE_Stream stream = HT_TRENDLINE_Stream.__new__(HT_TRENDLINE_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_HT_TRENDLINE_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_HT_TRENDLINE_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_HT_TRENDLINE_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_HT_TRENDLINE_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_HT_TRENDLINE_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_HT_TRENDLINE_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_HT_TRENDLINE_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_HT_TRENDLINE_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_HT_TRENDLINE_Stream* clone = NULL + cdef TA_RetCode retCode = TA_HT_TRENDLINE_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_HT_TRENDLINE_Clone", retCode) + cdef HT_TRENDLINE_Stream stream = HT_TRENDLINE_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class HT_TRENDMODE_Stream(Stream): """ HT_TRENDMODE(real) Hilbert Transform - Trend vs Cycle Mode (Cycle Indicators) @@ -3890,24 +13826,91 @@ def stream_HT_TRENDMODE( np.ndarray real not None ): Outputs: integer """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - int outinteger - real = check_array(real) - real_data = real.data - length = real.shape[0] - outinteger = 0 - retCode = lib.TA_HT_TRENDMODE( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_HT_TRENDMODE", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_IMI( np.ndarray open not None , np.ndarray close not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_HT_TRENDMODE_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_HT_TRENDMODE_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_HT_TRENDMODE_Open(&handle, a_real.data + begidx, historylen, &outinteger) + if retCode != 0: + _stream_open_failed("TA_HT_TRENDMODE_Open", retCode, historylen, lib.TA_HT_TRENDMODE_Lookback() + 1) + if self._handle is not NULL: + TA_HT_TRENDMODE_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_HT_TRENDMODE_Lookback() + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_HT_TRENDMODE_Stream* handle = NULL + cdef TA_RetCode retCode = TA_HT_TRENDMODE_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_HT_TRENDMODE_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef HT_TRENDMODE_Stream stream = HT_TRENDMODE_Stream.__new__(HT_TRENDMODE_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outinteger) + + @cython.binding(False) + def update(self, double real): + cdef int outinteger + cdef TA_RetCode retCode = TA_HT_TRENDMODE_Update(self._handle, real, &outinteger) + if retCode != 0: + _ta_check_success("TA_HT_TRENDMODE_Update", retCode) + return outinteger + + @cython.binding(False) + def peek(self, double real): + cdef int outinteger + cdef TA_RetCode retCode = TA_HT_TRENDMODE_Peek(self._handle, real, &outinteger) + if retCode != 0: + _ta_check_success("TA_HT_TRENDMODE_Peek", retCode) + return outinteger + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_HT_TRENDMODE_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_HT_TRENDMODE_Value", retCode) + return outinteger + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_HT_TRENDMODE_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_HT_TRENDMODE_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_HT_TRENDMODE_Stream* clone = NULL + cdef TA_RetCode retCode = TA_HT_TRENDMODE_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_HT_TRENDMODE_Clone", retCode) + cdef HT_TRENDMODE_Stream stream = HT_TRENDMODE_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class IMI_Stream(Stream): """ IMI(open, close[, timeperiod=?]) Intraday Momentum Index (Momentum Indicators) @@ -3919,27 +13922,93 @@ def stream_IMI( np.ndarray open not None , np.ndarray close not None , int timep Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* close_data - int outbegidx - int outnbelement - double outreal - open = check_array(open) - open_data = open.data - close = check_array(close) - close_data = close.data - length = check_length2(open, close) - outreal = NaN - retCode = lib.TA_IMI( (length) - 1 , (length) - 1 , open_data , close_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_IMI", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_KAMA( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_IMI_Close(self._handle) + self._handle = NULL + + def __init__(self, open, close, int timeperiod=-2**31): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_IMI_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_IMI_Open(&handle, a_open.data + begidx, a_close.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_IMI_Open", retCode, historylen, lib.TA_IMI_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_IMI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, close, int timeperiod=-2**31): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_IMI_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_IMI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_IMI_OpenAndFill(&handle, a_open.data + begidx, a_close.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_IMI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef IMI_Stream stream = IMI_Stream.__new__(IMI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, close,), outreal) + + @cython.binding(False) + def update(self, double open, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_IMI_Update(self._handle, open, close, &outreal) + if retCode != 0: + _ta_check_success("TA_IMI_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double open, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_IMI_Peek(self._handle, open, close, &outreal) + if retCode != 0: + _ta_check_success("TA_IMI_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_IMI_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_IMI_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_IMI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_IMI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_IMI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_IMI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_IMI_Clone", retCode) + cdef IMI_Stream stream = IMI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class KAMA_Stream(Stream): """ KAMA(real[, timeperiod=?]) Kaufman Adaptive Moving Average (Overlap Studies) @@ -3951,24 +14020,93 @@ def stream_KAMA( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_KAMA( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_KAMA", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_KC( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , int timeperiod=-2**31 , int atrperiod=-2**31 , double nbdev=-4e37 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_KAMA_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_KAMA_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_KAMA_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_KAMA_Open", retCode, historylen, lib.TA_KAMA_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_KAMA_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_KAMA_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_KAMA_Stream* handle = NULL + cdef TA_RetCode retCode = TA_KAMA_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_KAMA_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef KAMA_Stream stream = KAMA_Stream.__new__(KAMA_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_KAMA_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_KAMA_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_KAMA_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_KAMA_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_KAMA_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_KAMA_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_KAMA_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_KAMA_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_KAMA_Stream* clone = NULL + cdef TA_RetCode retCode = TA_KAMA_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_KAMA_Clone", retCode) + cdef KAMA_Stream stream = KAMA_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +KC_Value = namedtuple("KC_Value", "upperband middleband lowerband", module=__name__) + +cdef class KC_Stream(Stream): """ KC(high, low, close[, timeperiod=?, atrperiod=?, nbdev=?]) Keltner Channels (Overlap Studies) @@ -3984,34 +14122,107 @@ def stream_KC( np.ndarray high not None , np.ndarray low not None , np.ndarray c middleband lowerband """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outrealupperband - double outrealmiddleband - double outreallowerband - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outrealupperband = NaN - outrealmiddleband = NaN - outreallowerband = NaN - retCode = lib.TA_KC( (length) - 1 , (length) - 1 , high_data , low_data , close_data , timeperiod , atrperiod , nbdev , &outbegidx , &outnbelement , &outrealupperband , &outrealmiddleband , &outreallowerband ) - _ta_check_success("TA_KC", retCode) - return outrealupperband , outrealmiddleband , outreallowerband - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_KDJ( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , int fastk_period=-2**31 , int slowk_period=-2**31 , int slowk_matype=13 , int slowd_period=-2**31 , int slowd_matype=13 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_KC_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, int timeperiod=-2**31, int atrperiod=-2**31, double nbdev=-4e37): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_KC_Stream* handle = NULL + cdef double outupperband + cdef double outmiddleband + cdef double outlowerband + cdef TA_RetCode retCode = TA_KC_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, atrperiod, nbdev, &outupperband, &outmiddleband, &outlowerband) + if retCode != 0: + _stream_open_failed("TA_KC_Open", retCode, historylen, lib.TA_KC_Lookback(timeperiod, atrperiod, nbdev) + 1) + if self._handle is not NULL: + TA_KC_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, int timeperiod=-2**31, int atrperiod=-2**31, double nbdev=-4e37): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_KC_Lookback(timeperiod, atrperiod, nbdev) + cdef np.ndarray outupperband = make_double_array(length, lookback) + cdef np.ndarray outmiddleband = make_double_array(length, lookback) + cdef np.ndarray outlowerband = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_KC_Stream* handle = NULL + cdef TA_RetCode retCode = TA_KC_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, atrperiod, nbdev, &outbegidx, &outnbelement, outupperband.data + lookback, outmiddleband.data + lookback, outlowerband.data + lookback) + if retCode != 0: + _stream_open_failed("TA_KC_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef KC_Stream stream = KC_Stream.__new__(KC_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, KC_Value(_stream_like((high, low, close,), outupperband), _stream_like((high, low, close,), outmiddleband), _stream_like((high, low, close,), outlowerband)) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outupperband + cdef double outmiddleband + cdef double outlowerband + cdef TA_RetCode retCode = TA_KC_Update(self._handle, high, low, close, &outupperband, &outmiddleband, &outlowerband) + if retCode != 0: + _ta_check_success("TA_KC_Update", retCode) + return KC_Value(outupperband, outmiddleband, outlowerband) + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outupperband + cdef double outmiddleband + cdef double outlowerband + cdef TA_RetCode retCode = TA_KC_Peek(self._handle, high, low, close, &outupperband, &outmiddleband, &outlowerband) + if retCode != 0: + _ta_check_success("TA_KC_Peek", retCode) + return KC_Value(outupperband, outmiddleband, outlowerband) + + @property + def value(self): + cdef double outupperband + cdef double outmiddleband + cdef double outlowerband + cdef TA_RetCode retCode = TA_KC_Value(self._handle, &outupperband, &outmiddleband, &outlowerband) + if retCode != 0: + _ta_check_success("TA_KC_Value", retCode) + return KC_Value(outupperband, outmiddleband, outlowerband) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_KC_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_KC_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_KC_Stream* clone = NULL + cdef TA_RetCode retCode = TA_KC_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_KC_Clone", retCode) + cdef KC_Stream stream = KC_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +KDJ_Value = namedtuple("KDJ_Value", "k d j", module=__name__) + +cdef class KDJ_Stream(Stream): """ KDJ(high, low, close[, fastk_period=?, slowk_period=?, slowk_matype=?, slowd_period=?, slowd_matype=?]) KDJ Stochastic (Momentum Indicators) @@ -4029,34 +14240,105 @@ def stream_KDJ( np.ndarray high not None , np.ndarray low not None , np.ndarray d j """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outk - double outd - double outj - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outk = NaN - outd = NaN - outj = NaN - retCode = lib.TA_KDJ( (length) - 1 , (length) - 1 , high_data , low_data , close_data , fastk_period , slowk_period , slowk_matype , slowd_period , slowd_matype , &outbegidx , &outnbelement , &outk , &outd , &outj ) - _ta_check_success("TA_KDJ", retCode) - return outk , outd , outj - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_LINEARREG( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_KDJ_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, int fastk_period=-2**31, int slowk_period=-2**31, int slowk_matype=13, int slowd_period=-2**31, int slowd_matype=13): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_KDJ_Stream* handle = NULL + cdef double outk + cdef double outd + cdef double outj + cdef TA_RetCode retCode = TA_KDJ_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, fastk_period, slowk_period, slowk_matype, slowd_period, slowd_matype, &outk, &outd, &outj) + if retCode != 0: + _stream_open_failed("TA_KDJ_Open", retCode, historylen, lib.TA_KDJ_Lookback(fastk_period, slowk_period, slowk_matype, slowd_period, slowd_matype) + 1) + if self._handle is not NULL: + TA_KDJ_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, int fastk_period=-2**31, int slowk_period=-2**31, int slowk_matype=13, int slowd_period=-2**31, int slowd_matype=13): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_KDJ_Lookback(fastk_period, slowk_period, slowk_matype, slowd_period, slowd_matype) + cdef np.ndarray outk = make_double_array(length, lookback) + cdef np.ndarray outd = make_double_array(length, lookback) + cdef np.ndarray outj = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_KDJ_Stream* handle = NULL + cdef TA_RetCode retCode = TA_KDJ_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, fastk_period, slowk_period, slowk_matype, slowd_period, slowd_matype, &outbegidx, &outnbelement, outk.data + lookback, outd.data + lookback, outj.data + lookback) + if retCode != 0: + _stream_open_failed("TA_KDJ_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef KDJ_Stream stream = KDJ_Stream.__new__(KDJ_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, KDJ_Value(_stream_like((high, low, close,), outk), _stream_like((high, low, close,), outd), _stream_like((high, low, close,), outj)) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outk + cdef double outd + cdef double outj + cdef TA_RetCode retCode = TA_KDJ_Update(self._handle, high, low, close, &outk, &outd, &outj) + if retCode != 0: + _ta_check_success("TA_KDJ_Update", retCode) + return KDJ_Value(outk, outd, outj) + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outk + cdef double outd + cdef double outj + cdef TA_RetCode retCode = TA_KDJ_Peek(self._handle, high, low, close, &outk, &outd, &outj) + if retCode != 0: + _ta_check_success("TA_KDJ_Peek", retCode) + return KDJ_Value(outk, outd, outj) + + @property + def value(self): + cdef double outk + cdef double outd + cdef double outj + cdef TA_RetCode retCode = TA_KDJ_Value(self._handle, &outk, &outd, &outj) + if retCode != 0: + _ta_check_success("TA_KDJ_Value", retCode) + return KDJ_Value(outk, outd, outj) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_KDJ_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_KDJ_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_KDJ_Stream* clone = NULL + cdef TA_RetCode retCode = TA_KDJ_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_KDJ_Clone", retCode) + cdef KDJ_Stream stream = KDJ_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class LINEARREG_Stream(Stream): """ LINEARREG(real[, timeperiod=?]) Linear Regression (Statistic Functions) @@ -4068,24 +14350,91 @@ def stream_LINEARREG( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_LINEARREG( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_LINEARREG", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_LINEARREG_ANGLE( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_LINEARREG_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_LINEARREG_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_LINEARREG_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_LINEARREG_Open", retCode, historylen, lib.TA_LINEARREG_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_LINEARREG_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_LINEARREG_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_LINEARREG_Stream* handle = NULL + cdef TA_RetCode retCode = TA_LINEARREG_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_LINEARREG_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef LINEARREG_Stream stream = LINEARREG_Stream.__new__(LINEARREG_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_LINEARREG_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_LINEARREG_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_LINEARREG_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_LINEARREG_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_LINEARREG_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_LINEARREG_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_LINEARREG_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_LINEARREG_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_LINEARREG_Stream* clone = NULL + cdef TA_RetCode retCode = TA_LINEARREG_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_LINEARREG_Clone", retCode) + cdef LINEARREG_Stream stream = LINEARREG_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class LINEARREG_ANGLE_Stream(Stream): """ LINEARREG_ANGLE(real[, timeperiod=?]) Linear Regression Angle (Statistic Functions) @@ -4097,24 +14446,91 @@ def stream_LINEARREG_ANGLE( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_LINEARREG_ANGLE( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_LINEARREG_ANGLE", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_LINEARREG_INTERCEPT( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_LINEARREG_ANGLE_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_LINEARREG_ANGLE_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_LINEARREG_ANGLE_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_LINEARREG_ANGLE_Open", retCode, historylen, lib.TA_LINEARREG_ANGLE_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_LINEARREG_ANGLE_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_LINEARREG_ANGLE_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_LINEARREG_ANGLE_Stream* handle = NULL + cdef TA_RetCode retCode = TA_LINEARREG_ANGLE_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_LINEARREG_ANGLE_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef LINEARREG_ANGLE_Stream stream = LINEARREG_ANGLE_Stream.__new__(LINEARREG_ANGLE_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_LINEARREG_ANGLE_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_LINEARREG_ANGLE_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_LINEARREG_ANGLE_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_LINEARREG_ANGLE_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_LINEARREG_ANGLE_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_LINEARREG_ANGLE_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_LINEARREG_ANGLE_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_LINEARREG_ANGLE_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_LINEARREG_ANGLE_Stream* clone = NULL + cdef TA_RetCode retCode = TA_LINEARREG_ANGLE_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_LINEARREG_ANGLE_Clone", retCode) + cdef LINEARREG_ANGLE_Stream stream = LINEARREG_ANGLE_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class LINEARREG_INTERCEPT_Stream(Stream): """ LINEARREG_INTERCEPT(real[, timeperiod=?]) Linear Regression Intercept (Statistic Functions) @@ -4126,24 +14542,91 @@ def stream_LINEARREG_INTERCEPT( np.ndarray real not None , int timeperiod=-2**31 Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_LINEARREG_INTERCEPT( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_LINEARREG_INTERCEPT", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_LINEARREG_SLOPE( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_LINEARREG_INTERCEPT_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_LINEARREG_INTERCEPT_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_LINEARREG_INTERCEPT_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_LINEARREG_INTERCEPT_Open", retCode, historylen, lib.TA_LINEARREG_INTERCEPT_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_LINEARREG_INTERCEPT_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_LINEARREG_INTERCEPT_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_LINEARREG_INTERCEPT_Stream* handle = NULL + cdef TA_RetCode retCode = TA_LINEARREG_INTERCEPT_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_LINEARREG_INTERCEPT_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef LINEARREG_INTERCEPT_Stream stream = LINEARREG_INTERCEPT_Stream.__new__(LINEARREG_INTERCEPT_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_LINEARREG_INTERCEPT_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_LINEARREG_INTERCEPT_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_LINEARREG_INTERCEPT_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_LINEARREG_INTERCEPT_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_LINEARREG_INTERCEPT_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_LINEARREG_INTERCEPT_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_LINEARREG_INTERCEPT_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_LINEARREG_INTERCEPT_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_LINEARREG_INTERCEPT_Stream* clone = NULL + cdef TA_RetCode retCode = TA_LINEARREG_INTERCEPT_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_LINEARREG_INTERCEPT_Clone", retCode) + cdef LINEARREG_INTERCEPT_Stream stream = LINEARREG_INTERCEPT_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class LINEARREG_SLOPE_Stream(Stream): """ LINEARREG_SLOPE(real[, timeperiod=?]) Linear Regression Slope (Statistic Functions) @@ -4155,24 +14638,91 @@ def stream_LINEARREG_SLOPE( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_LINEARREG_SLOPE( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_LINEARREG_SLOPE", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_LN( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_LINEARREG_SLOPE_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_LINEARREG_SLOPE_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_LINEARREG_SLOPE_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_LINEARREG_SLOPE_Open", retCode, historylen, lib.TA_LINEARREG_SLOPE_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_LINEARREG_SLOPE_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_LINEARREG_SLOPE_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_LINEARREG_SLOPE_Stream* handle = NULL + cdef TA_RetCode retCode = TA_LINEARREG_SLOPE_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_LINEARREG_SLOPE_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef LINEARREG_SLOPE_Stream stream = LINEARREG_SLOPE_Stream.__new__(LINEARREG_SLOPE_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_LINEARREG_SLOPE_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_LINEARREG_SLOPE_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_LINEARREG_SLOPE_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_LINEARREG_SLOPE_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_LINEARREG_SLOPE_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_LINEARREG_SLOPE_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_LINEARREG_SLOPE_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_LINEARREG_SLOPE_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_LINEARREG_SLOPE_Stream* clone = NULL + cdef TA_RetCode retCode = TA_LINEARREG_SLOPE_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_LINEARREG_SLOPE_Clone", retCode) + cdef LINEARREG_SLOPE_Stream stream = LINEARREG_SLOPE_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class LN_Stream(Stream): """ LN(real) Vector Log Natural (Math Transform) @@ -4182,24 +14732,91 @@ def stream_LN( np.ndarray real not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_LN( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_LN", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_LOG10( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_LN_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_LN_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_LN_Open(&handle, a_real.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_LN_Open", retCode, historylen, lib.TA_LN_Lookback() + 1) + if self._handle is not NULL: + TA_LN_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_LN_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_LN_Stream* handle = NULL + cdef TA_RetCode retCode = TA_LN_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_LN_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef LN_Stream stream = LN_Stream.__new__(LN_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_LN_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_LN_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_LN_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_LN_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_LN_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_LN_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_LN_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_LN_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_LN_Stream* clone = NULL + cdef TA_RetCode retCode = TA_LN_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_LN_Clone", retCode) + cdef LN_Stream stream = LN_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class LOG10_Stream(Stream): """ LOG10(real) Vector Log10 (Math Transform) @@ -4209,24 +14826,91 @@ def stream_LOG10( np.ndarray real not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_LOG10( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_LOG10", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MA( np.ndarray real not None , int timeperiod=-2**31 , int matype=0 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_LOG10_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_LOG10_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_LOG10_Open(&handle, a_real.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_LOG10_Open", retCode, historylen, lib.TA_LOG10_Lookback() + 1) + if self._handle is not NULL: + TA_LOG10_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_LOG10_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_LOG10_Stream* handle = NULL + cdef TA_RetCode retCode = TA_LOG10_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_LOG10_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef LOG10_Stream stream = LOG10_Stream.__new__(LOG10_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_LOG10_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_LOG10_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_LOG10_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_LOG10_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_LOG10_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_LOG10_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_LOG10_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_LOG10_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_LOG10_Stream* clone = NULL + cdef TA_RetCode retCode = TA_LOG10_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_LOG10_Clone", retCode) + cdef LOG10_Stream stream = LOG10_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class MA_Stream(Stream): """ MA(real[, timeperiod=?, matype=?]) Moving average (Overlap Studies) @@ -4239,24 +14923,93 @@ def stream_MA( np.ndarray real not None , int timeperiod=-2**31 , int matype=0 ) Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_MA( (length) - 1 , (length) - 1 , real_data , timeperiod , matype , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_MA", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MACD( np.ndarray real not None , int fastperiod=-2**31 , int slowperiod=-2**31 , int signalperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MA_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31, int matype=0): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MA_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_MA_Open(&handle, a_real.data + begidx, historylen, timeperiod, matype, &outreal) + if retCode != 0: + _stream_open_failed("TA_MA_Open", retCode, historylen, lib.TA_MA_Lookback(timeperiod, matype) + 1) + if self._handle is not NULL: + TA_MA_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31, int matype=0): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MA_Lookback(timeperiod, matype) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MA_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MA_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, matype, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MA_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef MA_Stream stream = MA_Stream.__new__(MA_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_MA_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_MA_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_MA_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_MA_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_MA_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_MA_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MA_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MA_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MA_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MA_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MA_Clone", retCode) + cdef MA_Stream stream = MA_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +MACD_Value = namedtuple("MACD_Value", "macd macdsignal macdhist", module=__name__) + +cdef class MACD_Stream(Stream): """ MACD(real[, fastperiod=?, slowperiod=?, signalperiod=?]) Moving Average Convergence/Divergence (Momentum Indicators) @@ -4272,28 +15025,103 @@ def stream_MACD( np.ndarray real not None , int fastperiod=-2**31 , int slowperi macdsignal macdhist """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outmacd - double outmacdsignal - double outmacdhist - real = check_array(real) - real_data = real.data - length = real.shape[0] - outmacd = NaN - outmacdsignal = NaN - outmacdhist = NaN - retCode = lib.TA_MACD( (length) - 1 , (length) - 1 , real_data , fastperiod , slowperiod , signalperiod , &outbegidx , &outnbelement , &outmacd , &outmacdsignal , &outmacdhist ) - _ta_check_success("TA_MACD", retCode) - return outmacd , outmacdsignal , outmacdhist - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MACDEXT( np.ndarray real not None , int fastperiod=-2**31 , int fastmatype=0 , int slowperiod=-2**31 , int slowmatype=0 , int signalperiod=-2**31 , int signalmatype=0 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MACD_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int fastperiod=-2**31, int slowperiod=-2**31, int signalperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MACD_Stream* handle = NULL + cdef double outmacd + cdef double outmacdsignal + cdef double outmacdhist + cdef TA_RetCode retCode = TA_MACD_Open(&handle, a_real.data + begidx, historylen, fastperiod, slowperiod, signalperiod, &outmacd, &outmacdsignal, &outmacdhist) + if retCode != 0: + _stream_open_failed("TA_MACD_Open", retCode, historylen, lib.TA_MACD_Lookback(fastperiod, slowperiod, signalperiod) + 1) + if self._handle is not NULL: + TA_MACD_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int fastperiod=-2**31, int slowperiod=-2**31, int signalperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MACD_Lookback(fastperiod, slowperiod, signalperiod) + cdef np.ndarray outmacd = make_double_array(length, lookback) + cdef np.ndarray outmacdsignal = make_double_array(length, lookback) + cdef np.ndarray outmacdhist = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MACD_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MACD_OpenAndFill(&handle, a_real.data + begidx, historylen, fastperiod, slowperiod, signalperiod, &outbegidx, &outnbelement, outmacd.data + lookback, outmacdsignal.data + lookback, outmacdhist.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MACD_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef MACD_Stream stream = MACD_Stream.__new__(MACD_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, MACD_Value(_stream_like((real,), outmacd), _stream_like((real,), outmacdsignal), _stream_like((real,), outmacdhist)) + + @cython.binding(False) + def update(self, double real): + cdef double outmacd + cdef double outmacdsignal + cdef double outmacdhist + cdef TA_RetCode retCode = TA_MACD_Update(self._handle, real, &outmacd, &outmacdsignal, &outmacdhist) + if retCode != 0: + _ta_check_success("TA_MACD_Update", retCode) + return MACD_Value(outmacd, outmacdsignal, outmacdhist) + + @cython.binding(False) + def peek(self, double real): + cdef double outmacd + cdef double outmacdsignal + cdef double outmacdhist + cdef TA_RetCode retCode = TA_MACD_Peek(self._handle, real, &outmacd, &outmacdsignal, &outmacdhist) + if retCode != 0: + _ta_check_success("TA_MACD_Peek", retCode) + return MACD_Value(outmacd, outmacdsignal, outmacdhist) + + @property + def value(self): + cdef double outmacd + cdef double outmacdsignal + cdef double outmacdhist + cdef TA_RetCode retCode = TA_MACD_Value(self._handle, &outmacd, &outmacdsignal, &outmacdhist) + if retCode != 0: + _ta_check_success("TA_MACD_Value", retCode) + return MACD_Value(outmacd, outmacdsignal, outmacdhist) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MACD_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MACD_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MACD_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MACD_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MACD_Clone", retCode) + cdef MACD_Stream stream = MACD_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +MACDEXT_Value = namedtuple("MACDEXT_Value", "macd macdsignal macdhist", module=__name__) + +cdef class MACDEXT_Stream(Stream): """ MACDEXT(real[, fastperiod=?, fastmatype=?, slowperiod=?, slowmatype=?, signalperiod=?, signalmatype=?]) MACD with controllable MA type (Momentum Indicators) @@ -4312,28 +15140,103 @@ def stream_MACDEXT( np.ndarray real not None , int fastperiod=-2**31 , int fastm macdsignal macdhist """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outmacd - double outmacdsignal - double outmacdhist - real = check_array(real) - real_data = real.data - length = real.shape[0] - outmacd = NaN - outmacdsignal = NaN - outmacdhist = NaN - retCode = lib.TA_MACDEXT( (length) - 1 , (length) - 1 , real_data , fastperiod , fastmatype , slowperiod , slowmatype , signalperiod , signalmatype , &outbegidx , &outnbelement , &outmacd , &outmacdsignal , &outmacdhist ) - _ta_check_success("TA_MACDEXT", retCode) - return outmacd , outmacdsignal , outmacdhist - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MACDFIX( np.ndarray real not None , int signalperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MACDEXT_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int fastperiod=-2**31, int fastmatype=0, int slowperiod=-2**31, int slowmatype=0, int signalperiod=-2**31, int signalmatype=0): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MACDEXT_Stream* handle = NULL + cdef double outmacd + cdef double outmacdsignal + cdef double outmacdhist + cdef TA_RetCode retCode = TA_MACDEXT_Open(&handle, a_real.data + begidx, historylen, fastperiod, fastmatype, slowperiod, slowmatype, signalperiod, signalmatype, &outmacd, &outmacdsignal, &outmacdhist) + if retCode != 0: + _stream_open_failed("TA_MACDEXT_Open", retCode, historylen, lib.TA_MACDEXT_Lookback(fastperiod, fastmatype, slowperiod, slowmatype, signalperiod, signalmatype) + 1) + if self._handle is not NULL: + TA_MACDEXT_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int fastperiod=-2**31, int fastmatype=0, int slowperiod=-2**31, int slowmatype=0, int signalperiod=-2**31, int signalmatype=0): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MACDEXT_Lookback(fastperiod, fastmatype, slowperiod, slowmatype, signalperiod, signalmatype) + cdef np.ndarray outmacd = make_double_array(length, lookback) + cdef np.ndarray outmacdsignal = make_double_array(length, lookback) + cdef np.ndarray outmacdhist = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MACDEXT_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MACDEXT_OpenAndFill(&handle, a_real.data + begidx, historylen, fastperiod, fastmatype, slowperiod, slowmatype, signalperiod, signalmatype, &outbegidx, &outnbelement, outmacd.data + lookback, outmacdsignal.data + lookback, outmacdhist.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MACDEXT_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef MACDEXT_Stream stream = MACDEXT_Stream.__new__(MACDEXT_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, MACDEXT_Value(_stream_like((real,), outmacd), _stream_like((real,), outmacdsignal), _stream_like((real,), outmacdhist)) + + @cython.binding(False) + def update(self, double real): + cdef double outmacd + cdef double outmacdsignal + cdef double outmacdhist + cdef TA_RetCode retCode = TA_MACDEXT_Update(self._handle, real, &outmacd, &outmacdsignal, &outmacdhist) + if retCode != 0: + _ta_check_success("TA_MACDEXT_Update", retCode) + return MACDEXT_Value(outmacd, outmacdsignal, outmacdhist) + + @cython.binding(False) + def peek(self, double real): + cdef double outmacd + cdef double outmacdsignal + cdef double outmacdhist + cdef TA_RetCode retCode = TA_MACDEXT_Peek(self._handle, real, &outmacd, &outmacdsignal, &outmacdhist) + if retCode != 0: + _ta_check_success("TA_MACDEXT_Peek", retCode) + return MACDEXT_Value(outmacd, outmacdsignal, outmacdhist) + + @property + def value(self): + cdef double outmacd + cdef double outmacdsignal + cdef double outmacdhist + cdef TA_RetCode retCode = TA_MACDEXT_Value(self._handle, &outmacd, &outmacdsignal, &outmacdhist) + if retCode != 0: + _ta_check_success("TA_MACDEXT_Value", retCode) + return MACDEXT_Value(outmacd, outmacdsignal, outmacdhist) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MACDEXT_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MACDEXT_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MACDEXT_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MACDEXT_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MACDEXT_Clone", retCode) + cdef MACDEXT_Stream stream = MACDEXT_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +MACDFIX_Value = namedtuple("MACDFIX_Value", "macd macdsignal macdhist", module=__name__) + +cdef class MACDFIX_Stream(Stream): """ MACDFIX(real[, signalperiod=?]) Moving Average Convergence/Divergence Fix 12/26 (Momentum Indicators) @@ -4347,28 +15250,103 @@ def stream_MACDFIX( np.ndarray real not None , int signalperiod=-2**31 ): macdsignal macdhist """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outmacd - double outmacdsignal - double outmacdhist - real = check_array(real) - real_data = real.data - length = real.shape[0] - outmacd = NaN - outmacdsignal = NaN - outmacdhist = NaN - retCode = lib.TA_MACDFIX( (length) - 1 , (length) - 1 , real_data , signalperiod , &outbegidx , &outnbelement , &outmacd , &outmacdsignal , &outmacdhist ) - _ta_check_success("TA_MACDFIX", retCode) - return outmacd , outmacdsignal , outmacdhist - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MAMA( np.ndarray real not None , double fastlimit=-4e37 , double slowlimit=-4e37 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MACDFIX_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int signalperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MACDFIX_Stream* handle = NULL + cdef double outmacd + cdef double outmacdsignal + cdef double outmacdhist + cdef TA_RetCode retCode = TA_MACDFIX_Open(&handle, a_real.data + begidx, historylen, signalperiod, &outmacd, &outmacdsignal, &outmacdhist) + if retCode != 0: + _stream_open_failed("TA_MACDFIX_Open", retCode, historylen, lib.TA_MACDFIX_Lookback(signalperiod) + 1) + if self._handle is not NULL: + TA_MACDFIX_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int signalperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MACDFIX_Lookback(signalperiod) + cdef np.ndarray outmacd = make_double_array(length, lookback) + cdef np.ndarray outmacdsignal = make_double_array(length, lookback) + cdef np.ndarray outmacdhist = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MACDFIX_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MACDFIX_OpenAndFill(&handle, a_real.data + begidx, historylen, signalperiod, &outbegidx, &outnbelement, outmacd.data + lookback, outmacdsignal.data + lookback, outmacdhist.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MACDFIX_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef MACDFIX_Stream stream = MACDFIX_Stream.__new__(MACDFIX_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, MACDFIX_Value(_stream_like((real,), outmacd), _stream_like((real,), outmacdsignal), _stream_like((real,), outmacdhist)) + + @cython.binding(False) + def update(self, double real): + cdef double outmacd + cdef double outmacdsignal + cdef double outmacdhist + cdef TA_RetCode retCode = TA_MACDFIX_Update(self._handle, real, &outmacd, &outmacdsignal, &outmacdhist) + if retCode != 0: + _ta_check_success("TA_MACDFIX_Update", retCode) + return MACDFIX_Value(outmacd, outmacdsignal, outmacdhist) + + @cython.binding(False) + def peek(self, double real): + cdef double outmacd + cdef double outmacdsignal + cdef double outmacdhist + cdef TA_RetCode retCode = TA_MACDFIX_Peek(self._handle, real, &outmacd, &outmacdsignal, &outmacdhist) + if retCode != 0: + _ta_check_success("TA_MACDFIX_Peek", retCode) + return MACDFIX_Value(outmacd, outmacdsignal, outmacdhist) + + @property + def value(self): + cdef double outmacd + cdef double outmacdsignal + cdef double outmacdhist + cdef TA_RetCode retCode = TA_MACDFIX_Value(self._handle, &outmacd, &outmacdsignal, &outmacdhist) + if retCode != 0: + _ta_check_success("TA_MACDFIX_Value", retCode) + return MACDFIX_Value(outmacd, outmacdsignal, outmacdhist) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MACDFIX_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MACDFIX_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MACDFIX_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MACDFIX_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MACDFIX_Clone", retCode) + cdef MACDFIX_Stream stream = MACDFIX_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +MAMA_Value = namedtuple("MAMA_Value", "mama fama", module=__name__) + +cdef class MAMA_Stream(Stream): """ MAMA(real[, fastlimit=?, slowlimit=?]) MESA Adaptive Moving Average (Overlap Studies) @@ -4382,26 +15360,96 @@ def stream_MAMA( np.ndarray real not None , double fastlimit=-4e37 , double slow mama fama """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outmama - double outfama - real = check_array(real) - real_data = real.data - length = real.shape[0] - outmama = NaN - outfama = NaN - retCode = lib.TA_MAMA( (length) - 1 , (length) - 1 , real_data , fastlimit , slowlimit , &outbegidx , &outnbelement , &outmama , &outfama ) - _ta_check_success("TA_MAMA", retCode) - return outmama , outfama - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MARKETFI( np.ndarray high not None , np.ndarray low not None , np.ndarray volume not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MAMA_Close(self._handle) + self._handle = NULL + + def __init__(self, real, double fastlimit=-4e37, double slowlimit=-4e37): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MAMA_Stream* handle = NULL + cdef double outmama + cdef double outfama + cdef TA_RetCode retCode = TA_MAMA_Open(&handle, a_real.data + begidx, historylen, fastlimit, slowlimit, &outmama, &outfama) + if retCode != 0: + _stream_open_failed("TA_MAMA_Open", retCode, historylen, lib.TA_MAMA_Lookback(fastlimit, slowlimit) + 1) + if self._handle is not NULL: + TA_MAMA_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, double fastlimit=-4e37, double slowlimit=-4e37): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MAMA_Lookback(fastlimit, slowlimit) + cdef np.ndarray outmama = make_double_array(length, lookback) + cdef np.ndarray outfama = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MAMA_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MAMA_OpenAndFill(&handle, a_real.data + begidx, historylen, fastlimit, slowlimit, &outbegidx, &outnbelement, outmama.data + lookback, outfama.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MAMA_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef MAMA_Stream stream = MAMA_Stream.__new__(MAMA_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, MAMA_Value(_stream_like((real,), outmama), _stream_like((real,), outfama)) + + @cython.binding(False) + def update(self, double real): + cdef double outmama + cdef double outfama + cdef TA_RetCode retCode = TA_MAMA_Update(self._handle, real, &outmama, &outfama) + if retCode != 0: + _ta_check_success("TA_MAMA_Update", retCode) + return MAMA_Value(outmama, outfama) + + @cython.binding(False) + def peek(self, double real): + cdef double outmama + cdef double outfama + cdef TA_RetCode retCode = TA_MAMA_Peek(self._handle, real, &outmama, &outfama) + if retCode != 0: + _ta_check_success("TA_MAMA_Peek", retCode) + return MAMA_Value(outmama, outfama) + + @property + def value(self): + cdef double outmama + cdef double outfama + cdef TA_RetCode retCode = TA_MAMA_Value(self._handle, &outmama, &outfama) + if retCode != 0: + _ta_check_success("TA_MAMA_Value", retCode) + return MAMA_Value(outmama, outfama) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MAMA_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MAMA_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MAMA_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MAMA_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MAMA_Clone", retCode) + cdef MAMA_Stream stream = MAMA_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class MARKETFI_Stream(Stream): """ MARKETFI(high, low, volume) Market Facilitation Index (Volume Indicators) @@ -4411,30 +15459,95 @@ def stream_MARKETFI( np.ndarray high not None , np.ndarray low not None , np.nda Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* volume_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - volume = check_array(volume) - volume_data = volume.data - length = check_length3(high, low, volume) - outreal = NaN - retCode = lib.TA_MARKETFI( (length) - 1 , (length) - 1 , high_data , low_data , volume_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_MARKETFI", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MASSI( np.ndarray high not None , np.ndarray low not None , int fastperiod=-2**31 , int slowperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MARKETFI_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, volume): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_high, a_low, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MARKETFI_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_MARKETFI_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_volume.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_MARKETFI_Open", retCode, historylen, lib.TA_MARKETFI_Lookback() + 1) + if self._handle is not NULL: + TA_MARKETFI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, volume): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_high, a_low, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MARKETFI_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MARKETFI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MARKETFI_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_volume.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MARKETFI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef MARKETFI_Stream stream = MARKETFI_Stream.__new__(MARKETFI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low, volume,), outreal) + + @cython.binding(False) + def update(self, double high, double low, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_MARKETFI_Update(self._handle, high, low, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_MARKETFI_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_MARKETFI_Peek(self._handle, high, low, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_MARKETFI_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_MARKETFI_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_MARKETFI_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MARKETFI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MARKETFI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MARKETFI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MARKETFI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MARKETFI_Clone", retCode) + cdef MARKETFI_Stream stream = MARKETFI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class MASSI_Stream(Stream): """ MASSI(high, low[, fastperiod=?, slowperiod=?]) Mass Index (Volatility Indicators) @@ -4447,27 +15560,93 @@ def stream_MASSI( np.ndarray high not None , np.ndarray low not None , int fastp Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - length = check_length2(high, low) - outreal = NaN - retCode = lib.TA_MASSI( (length) - 1 , (length) - 1 , high_data , low_data , fastperiod , slowperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_MASSI", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MAVP( np.ndarray real not None , np.ndarray periods not None , int minperiod=-2**31 , int maxperiod=-2**31 , int matype=0 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MASSI_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, int fastperiod=-2**31, int slowperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MASSI_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_MASSI_Open(&handle, a_high.data + begidx, a_low.data + begidx, historylen, fastperiod, slowperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_MASSI_Open", retCode, historylen, lib.TA_MASSI_Lookback(fastperiod, slowperiod) + 1) + if self._handle is not NULL: + TA_MASSI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, int fastperiod=-2**31, int slowperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MASSI_Lookback(fastperiod, slowperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MASSI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MASSI_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, historylen, fastperiod, slowperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MASSI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef MASSI_Stream stream = MASSI_Stream.__new__(MASSI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low,), outreal) + + @cython.binding(False) + def update(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_MASSI_Update(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_MASSI_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_MASSI_Peek(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_MASSI_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_MASSI_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_MASSI_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MASSI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MASSI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MASSI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MASSI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MASSI_Clone", retCode) + cdef MASSI_Stream stream = MASSI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class MAVP_Stream(Stream): """ MAVP(real, periods[, minperiod=?, maxperiod=?, matype=?]) Moving average with variable period (Overlap Studies) @@ -4482,27 +15661,93 @@ def stream_MAVP( np.ndarray real not None , np.ndarray periods not None , int mi Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - double* periods_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - periods = check_array(periods) - periods_data = periods.data - length = check_length2(real, periods) - outreal = NaN - retCode = lib.TA_MAVP( (length) - 1 , (length) - 1 , real_data , periods_data , minperiod , maxperiod , matype , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_MAVP", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MAX( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MAVP_Close(self._handle) + self._handle = NULL + + def __init__(self, real, periods, int minperiod=-2**31, int maxperiod=-2**31, int matype=0): + cdef np.ndarray a_real = _stream_input(real) + cdef np.ndarray a_periods = _stream_input(periods) + cdef tuple arrays = (a_real, a_periods,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MAVP_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_MAVP_Open(&handle, a_real.data + begidx, a_periods.data + begidx, historylen, minperiod, maxperiod, matype, &outreal) + if retCode != 0: + _stream_open_failed("TA_MAVP_Open", retCode, historylen, lib.TA_MAVP_Lookback(minperiod, maxperiod, matype) + 1) + if self._handle is not NULL: + TA_MAVP_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, periods, int minperiod=-2**31, int maxperiod=-2**31, int matype=0): + cdef np.ndarray a_real = _stream_input(real) + cdef np.ndarray a_periods = _stream_input(periods) + cdef tuple arrays = (a_real, a_periods,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MAVP_Lookback(minperiod, maxperiod, matype) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MAVP_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MAVP_OpenAndFill(&handle, a_real.data + begidx, a_periods.data + begidx, historylen, minperiod, maxperiod, matype, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MAVP_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef MAVP_Stream stream = MAVP_Stream.__new__(MAVP_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real, periods,), outreal) + + @cython.binding(False) + def update(self, double real, double periods): + cdef double outreal + cdef TA_RetCode retCode = TA_MAVP_Update(self._handle, real, periods, &outreal) + if retCode != 0: + _ta_check_success("TA_MAVP_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real, double periods): + cdef double outreal + cdef TA_RetCode retCode = TA_MAVP_Peek(self._handle, real, periods, &outreal) + if retCode != 0: + _ta_check_success("TA_MAVP_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_MAVP_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_MAVP_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MAVP_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MAVP_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MAVP_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MAVP_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MAVP_Clone", retCode) + cdef MAVP_Stream stream = MAVP_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class MAX_Stream(Stream): """ MAX(real[, timeperiod=?]) Highest value over a specified period (Math Operators) @@ -4514,24 +15759,91 @@ def stream_MAX( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_MAX( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_MAX", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MAXINDEX( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MAX_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MAX_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_MAX_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_MAX_Open", retCode, historylen, lib.TA_MAX_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_MAX_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MAX_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MAX_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MAX_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MAX_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef MAX_Stream stream = MAX_Stream.__new__(MAX_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_MAX_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_MAX_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_MAX_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_MAX_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_MAX_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_MAX_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MAX_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MAX_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MAX_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MAX_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MAX_Clone", retCode) + cdef MAX_Stream stream = MAX_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class MAXINDEX_Stream(Stream): """ MAXINDEX(real[, timeperiod=?]) Index of highest value over a specified period (Math Operators) @@ -4543,24 +15855,95 @@ def stream_MAXINDEX( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: integer """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - int outinteger - real = check_array(real) - real_data = real.data - length = real.shape[0] - outinteger = 0 - retCode = lib.TA_MAXINDEX( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_MAXINDEX", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MEDPRICE( np.ndarray high not None , np.ndarray low not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MAXINDEX_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MAXINDEX_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_MAXINDEX_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outinteger) + if retCode != 0: + _stream_open_failed("TA_MAXINDEX_Open", retCode, historylen, lib.TA_MAXINDEX_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_MAXINDEX_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MAXINDEX_Lookback(timeperiod) + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MAXINDEX_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MAXINDEX_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MAXINDEX_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef np.npy_intp i + cdef int* outinteger_data = outinteger.data + for i in range(lookback, length): + outinteger_data[i] += begidx + cdef MAXINDEX_Stream stream = MAXINDEX_Stream.__new__(MAXINDEX_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outinteger) + + @cython.binding(False) + def update(self, double real): + cdef int outinteger + cdef TA_RetCode retCode = TA_MAXINDEX_Update(self._handle, real, &outinteger) + if retCode != 0: + _ta_check_success("TA_MAXINDEX_Update", retCode) + return outinteger + self._begidx + + @cython.binding(False) + def peek(self, double real): + cdef int outinteger + cdef TA_RetCode retCode = TA_MAXINDEX_Peek(self._handle, real, &outinteger) + if retCode != 0: + _ta_check_success("TA_MAXINDEX_Peek", retCode) + return outinteger + self._begidx + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_MAXINDEX_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_MAXINDEX_Value", retCode) + return outinteger + self._begidx + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MAXINDEX_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MAXINDEX_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MAXINDEX_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MAXINDEX_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MAXINDEX_Clone", retCode) + cdef MAXINDEX_Stream stream = MAXINDEX_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class MEDPRICE_Stream(Stream): """ MEDPRICE(high, low) Median Price (Price Transform) @@ -4570,27 +15953,93 @@ def stream_MEDPRICE( np.ndarray high not None , np.ndarray low not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - length = check_length2(high, low) - outreal = NaN - retCode = lib.TA_MEDPRICE( (length) - 1 , (length) - 1 , high_data , low_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_MEDPRICE", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MFI( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , np.ndarray volume not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MEDPRICE_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MEDPRICE_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_MEDPRICE_Open(&handle, a_high.data + begidx, a_low.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_MEDPRICE_Open", retCode, historylen, lib.TA_MEDPRICE_Lookback() + 1) + if self._handle is not NULL: + TA_MEDPRICE_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MEDPRICE_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MEDPRICE_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MEDPRICE_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MEDPRICE_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef MEDPRICE_Stream stream = MEDPRICE_Stream.__new__(MEDPRICE_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low,), outreal) + + @cython.binding(False) + def update(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_MEDPRICE_Update(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_MEDPRICE_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_MEDPRICE_Peek(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_MEDPRICE_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_MEDPRICE_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_MEDPRICE_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MEDPRICE_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MEDPRICE_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MEDPRICE_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MEDPRICE_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MEDPRICE_Clone", retCode) + cdef MEDPRICE_Stream stream = MEDPRICE_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class MFI_Stream(Stream): """ MFI(high, low, close, volume[, timeperiod=?]) Money Flow Index (Momentum Indicators) @@ -4602,33 +16051,97 @@ def stream_MFI( np.ndarray high not None , np.ndarray low not None , np.ndarray Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - double* volume_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - volume = check_array(volume) - volume_data = volume.data - length = check_length4(high, low, close, volume) - outreal = NaN - retCode = lib.TA_MFI( (length) - 1 , (length) - 1 , high_data , low_data , close_data , volume_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_MFI", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MIDPOINT( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MFI_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, volume, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_high, a_low, a_close, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MFI_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_MFI_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, a_volume.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_MFI_Open", retCode, historylen, lib.TA_MFI_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_MFI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, volume, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_high, a_low, a_close, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MFI_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MFI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MFI_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, a_volume.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MFI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef MFI_Stream stream = MFI_Stream.__new__(MFI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low, close, volume,), outreal) + + @cython.binding(False) + def update(self, double high, double low, double close, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_MFI_Update(self._handle, high, low, close, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_MFI_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low, double close, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_MFI_Peek(self._handle, high, low, close, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_MFI_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_MFI_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_MFI_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MFI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MFI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MFI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MFI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MFI_Clone", retCode) + cdef MFI_Stream stream = MFI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class MIDPOINT_Stream(Stream): """ MIDPOINT(real[, timeperiod=?]) MidPoint over period (Overlap Studies) @@ -4640,24 +16153,91 @@ def stream_MIDPOINT( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_MIDPOINT( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_MIDPOINT", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MIDPRICE( np.ndarray high not None , np.ndarray low not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MIDPOINT_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MIDPOINT_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_MIDPOINT_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_MIDPOINT_Open", retCode, historylen, lib.TA_MIDPOINT_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_MIDPOINT_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MIDPOINT_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MIDPOINT_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MIDPOINT_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MIDPOINT_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef MIDPOINT_Stream stream = MIDPOINT_Stream.__new__(MIDPOINT_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_MIDPOINT_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_MIDPOINT_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_MIDPOINT_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_MIDPOINT_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_MIDPOINT_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_MIDPOINT_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MIDPOINT_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MIDPOINT_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MIDPOINT_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MIDPOINT_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MIDPOINT_Clone", retCode) + cdef MIDPOINT_Stream stream = MIDPOINT_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class MIDPRICE_Stream(Stream): """ MIDPRICE(high, low[, timeperiod=?]) Midpoint Price over period (Overlap Studies) @@ -4669,27 +16249,93 @@ def stream_MIDPRICE( np.ndarray high not None , np.ndarray low not None , int ti Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - length = check_length2(high, low) - outreal = NaN - retCode = lib.TA_MIDPRICE( (length) - 1 , (length) - 1 , high_data , low_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_MIDPRICE", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MIN( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MIDPRICE_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MIDPRICE_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_MIDPRICE_Open(&handle, a_high.data + begidx, a_low.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_MIDPRICE_Open", retCode, historylen, lib.TA_MIDPRICE_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_MIDPRICE_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MIDPRICE_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MIDPRICE_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MIDPRICE_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MIDPRICE_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef MIDPRICE_Stream stream = MIDPRICE_Stream.__new__(MIDPRICE_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low,), outreal) + + @cython.binding(False) + def update(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_MIDPRICE_Update(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_MIDPRICE_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_MIDPRICE_Peek(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_MIDPRICE_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_MIDPRICE_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_MIDPRICE_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MIDPRICE_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MIDPRICE_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MIDPRICE_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MIDPRICE_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MIDPRICE_Clone", retCode) + cdef MIDPRICE_Stream stream = MIDPRICE_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class MIN_Stream(Stream): """ MIN(real[, timeperiod=?]) Lowest value over a specified period (Math Operators) @@ -4701,24 +16347,91 @@ def stream_MIN( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_MIN( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_MIN", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MININDEX( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MIN_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MIN_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_MIN_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_MIN_Open", retCode, historylen, lib.TA_MIN_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_MIN_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MIN_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MIN_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MIN_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MIN_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef MIN_Stream stream = MIN_Stream.__new__(MIN_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_MIN_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_MIN_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_MIN_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_MIN_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_MIN_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_MIN_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MIN_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MIN_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MIN_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MIN_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MIN_Clone", retCode) + cdef MIN_Stream stream = MIN_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class MININDEX_Stream(Stream): """ MININDEX(real[, timeperiod=?]) Index of lowest value over a specified period (Math Operators) @@ -4730,24 +16443,97 @@ def stream_MININDEX( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: integer """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - int outinteger - real = check_array(real) - real_data = real.data - length = real.shape[0] - outinteger = 0 - retCode = lib.TA_MININDEX( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outinteger ) - _ta_check_success("TA_MININDEX", retCode) - return outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MINMAX( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MININDEX_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MININDEX_Stream* handle = NULL + cdef int outinteger + cdef TA_RetCode retCode = TA_MININDEX_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outinteger) + if retCode != 0: + _stream_open_failed("TA_MININDEX_Open", retCode, historylen, lib.TA_MININDEX_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_MININDEX_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MININDEX_Lookback(timeperiod) + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MININDEX_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MININDEX_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MININDEX_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef np.npy_intp i + cdef int* outinteger_data = outinteger.data + for i in range(lookback, length): + outinteger_data[i] += begidx + cdef MININDEX_Stream stream = MININDEX_Stream.__new__(MININDEX_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outinteger) + + @cython.binding(False) + def update(self, double real): + cdef int outinteger + cdef TA_RetCode retCode = TA_MININDEX_Update(self._handle, real, &outinteger) + if retCode != 0: + _ta_check_success("TA_MININDEX_Update", retCode) + return outinteger + self._begidx + + @cython.binding(False) + def peek(self, double real): + cdef int outinteger + cdef TA_RetCode retCode = TA_MININDEX_Peek(self._handle, real, &outinteger) + if retCode != 0: + _ta_check_success("TA_MININDEX_Peek", retCode) + return outinteger + self._begidx + + @property + def value(self): + cdef int outinteger + cdef TA_RetCode retCode = TA_MININDEX_Value(self._handle, &outinteger) + if retCode != 0: + _ta_check_success("TA_MININDEX_Value", retCode) + return outinteger + self._begidx + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MININDEX_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MININDEX_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MININDEX_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MININDEX_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MININDEX_Clone", retCode) + cdef MININDEX_Stream stream = MININDEX_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +MINMAX_Value = namedtuple("MINMAX_Value", "min max", module=__name__) + +cdef class MINMAX_Stream(Stream): """ MINMAX(real[, timeperiod=?]) Lowest and highest values over a specified period (Math Operators) @@ -4760,26 +16546,98 @@ def stream_MINMAX( np.ndarray real not None , int timeperiod=-2**31 ): min max """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outmin - double outmax - real = check_array(real) - real_data = real.data - length = real.shape[0] - outmin = NaN - outmax = NaN - retCode = lib.TA_MINMAX( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outmin , &outmax ) - _ta_check_success("TA_MINMAX", retCode) - return outmin , outmax - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MINMAXINDEX( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MINMAX_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MINMAX_Stream* handle = NULL + cdef double outmin + cdef double outmax + cdef TA_RetCode retCode = TA_MINMAX_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outmin, &outmax) + if retCode != 0: + _stream_open_failed("TA_MINMAX_Open", retCode, historylen, lib.TA_MINMAX_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_MINMAX_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MINMAX_Lookback(timeperiod) + cdef np.ndarray outmin = make_double_array(length, lookback) + cdef np.ndarray outmax = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MINMAX_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MINMAX_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outmin.data + lookback, outmax.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MINMAX_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef MINMAX_Stream stream = MINMAX_Stream.__new__(MINMAX_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, MINMAX_Value(_stream_like((real,), outmin), _stream_like((real,), outmax)) + + @cython.binding(False) + def update(self, double real): + cdef double outmin + cdef double outmax + cdef TA_RetCode retCode = TA_MINMAX_Update(self._handle, real, &outmin, &outmax) + if retCode != 0: + _ta_check_success("TA_MINMAX_Update", retCode) + return MINMAX_Value(outmin, outmax) + + @cython.binding(False) + def peek(self, double real): + cdef double outmin + cdef double outmax + cdef TA_RetCode retCode = TA_MINMAX_Peek(self._handle, real, &outmin, &outmax) + if retCode != 0: + _ta_check_success("TA_MINMAX_Peek", retCode) + return MINMAX_Value(outmin, outmax) + + @property + def value(self): + cdef double outmin + cdef double outmax + cdef TA_RetCode retCode = TA_MINMAX_Value(self._handle, &outmin, &outmax) + if retCode != 0: + _ta_check_success("TA_MINMAX_Value", retCode) + return MINMAX_Value(outmin, outmax) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MINMAX_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MINMAX_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MINMAX_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MINMAX_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MINMAX_Clone", retCode) + cdef MINMAX_Stream stream = MINMAX_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +MINMAXINDEX_Value = namedtuple("MINMAXINDEX_Value", "minidx maxidx", module=__name__) + +cdef class MINMAXINDEX_Stream(Stream): """ MINMAXINDEX(real[, timeperiod=?]) Indexes of lowest and highest values over a specified period (Math Operators) @@ -4792,26 +16650,103 @@ def stream_MINMAXINDEX( np.ndarray real not None , int timeperiod=-2**31 ): minidx maxidx """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - int outminidx - int outmaxidx - real = check_array(real) - real_data = real.data - length = real.shape[0] - outminidx = 0 - outmaxidx = 0 - retCode = lib.TA_MINMAXINDEX( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outminidx , &outmaxidx ) - _ta_check_success("TA_MINMAXINDEX", retCode) - return outminidx , outmaxidx - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MINUS_DI( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MINMAXINDEX_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MINMAXINDEX_Stream* handle = NULL + cdef int outminidx + cdef int outmaxidx + cdef TA_RetCode retCode = TA_MINMAXINDEX_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outminidx, &outmaxidx) + if retCode != 0: + _stream_open_failed("TA_MINMAXINDEX_Open", retCode, historylen, lib.TA_MINMAXINDEX_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_MINMAXINDEX_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MINMAXINDEX_Lookback(timeperiod) + cdef np.ndarray outminidx = make_int_array(length, lookback) + cdef np.ndarray outmaxidx = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MINMAXINDEX_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MINMAXINDEX_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outminidx.data + lookback, outmaxidx.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MINMAXINDEX_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef np.npy_intp i + cdef int* outminidx_data = outminidx.data + for i in range(lookback, length): + outminidx_data[i] += begidx + cdef int* outmaxidx_data = outmaxidx.data + for i in range(lookback, length): + outmaxidx_data[i] += begidx + cdef MINMAXINDEX_Stream stream = MINMAXINDEX_Stream.__new__(MINMAXINDEX_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, MINMAXINDEX_Value(_stream_like((real,), outminidx), _stream_like((real,), outmaxidx)) + + @cython.binding(False) + def update(self, double real): + cdef int outminidx + cdef int outmaxidx + cdef TA_RetCode retCode = TA_MINMAXINDEX_Update(self._handle, real, &outminidx, &outmaxidx) + if retCode != 0: + _ta_check_success("TA_MINMAXINDEX_Update", retCode) + return MINMAXINDEX_Value(outminidx + self._begidx, outmaxidx + self._begidx) + + @cython.binding(False) + def peek(self, double real): + cdef int outminidx + cdef int outmaxidx + cdef TA_RetCode retCode = TA_MINMAXINDEX_Peek(self._handle, real, &outminidx, &outmaxidx) + if retCode != 0: + _ta_check_success("TA_MINMAXINDEX_Peek", retCode) + return MINMAXINDEX_Value(outminidx + self._begidx, outmaxidx + self._begidx) + + @property + def value(self): + cdef int outminidx + cdef int outmaxidx + cdef TA_RetCode retCode = TA_MINMAXINDEX_Value(self._handle, &outminidx, &outmaxidx) + if retCode != 0: + _ta_check_success("TA_MINMAXINDEX_Value", retCode) + return MINMAXINDEX_Value(outminidx + self._begidx, outmaxidx + self._begidx) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MINMAXINDEX_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MINMAXINDEX_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MINMAXINDEX_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MINMAXINDEX_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MINMAXINDEX_Clone", retCode) + cdef MINMAXINDEX_Stream stream = MINMAXINDEX_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class MINUS_DI_Stream(Stream): """ MINUS_DI(high, low, close[, timeperiod=?]) Minus Directional Indicator (Momentum Indicators) @@ -4823,30 +16758,95 @@ def stream_MINUS_DI( np.ndarray high not None , np.ndarray low not None , np.nda Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outreal = NaN - retCode = lib.TA_MINUS_DI( (length) - 1 , (length) - 1 , high_data , low_data , close_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_MINUS_DI", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MINUS_DM( np.ndarray high not None , np.ndarray low not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MINUS_DI_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MINUS_DI_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_MINUS_DI_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_MINUS_DI_Open", retCode, historylen, lib.TA_MINUS_DI_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_MINUS_DI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MINUS_DI_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MINUS_DI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MINUS_DI_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MINUS_DI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef MINUS_DI_Stream stream = MINUS_DI_Stream.__new__(MINUS_DI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low, close,), outreal) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_MINUS_DI_Update(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_MINUS_DI_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_MINUS_DI_Peek(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_MINUS_DI_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_MINUS_DI_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_MINUS_DI_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MINUS_DI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MINUS_DI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MINUS_DI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MINUS_DI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MINUS_DI_Clone", retCode) + cdef MINUS_DI_Stream stream = MINUS_DI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class MINUS_DM_Stream(Stream): """ MINUS_DM(high, low[, timeperiod=?]) Minus Directional Movement (Momentum Indicators) @@ -4858,27 +16858,93 @@ def stream_MINUS_DM( np.ndarray high not None , np.ndarray low not None , int ti Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - length = check_length2(high, low) - outreal = NaN - retCode = lib.TA_MINUS_DM( (length) - 1 , (length) - 1 , high_data , low_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_MINUS_DM", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MOM( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MINUS_DM_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MINUS_DM_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_MINUS_DM_Open(&handle, a_high.data + begidx, a_low.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_MINUS_DM_Open", retCode, historylen, lib.TA_MINUS_DM_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_MINUS_DM_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MINUS_DM_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MINUS_DM_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MINUS_DM_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MINUS_DM_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef MINUS_DM_Stream stream = MINUS_DM_Stream.__new__(MINUS_DM_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low,), outreal) + + @cython.binding(False) + def update(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_MINUS_DM_Update(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_MINUS_DM_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_MINUS_DM_Peek(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_MINUS_DM_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_MINUS_DM_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_MINUS_DM_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MINUS_DM_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MINUS_DM_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MINUS_DM_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MINUS_DM_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MINUS_DM_Clone", retCode) + cdef MINUS_DM_Stream stream = MINUS_DM_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class MOM_Stream(Stream): """ MOM(real[, timeperiod=?]) Momentum (Momentum Indicators) @@ -4890,24 +16956,91 @@ def stream_MOM( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_MOM( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_MOM", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_MULT( np.ndarray real0 not None , np.ndarray real1 not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MOM_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MOM_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_MOM_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_MOM_Open", retCode, historylen, lib.TA_MOM_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_MOM_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MOM_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MOM_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MOM_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MOM_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef MOM_Stream stream = MOM_Stream.__new__(MOM_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_MOM_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_MOM_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_MOM_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_MOM_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_MOM_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_MOM_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MOM_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MOM_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MOM_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MOM_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MOM_Clone", retCode) + cdef MOM_Stream stream = MOM_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class MULT_Stream(Stream): """ MULT(real0, real1) Vector Arithmetic Mult (Math Operators) @@ -4918,27 +17051,93 @@ def stream_MULT( np.ndarray real0 not None , np.ndarray real1 not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real0_data - double* real1_data - int outbegidx - int outnbelement - double outreal - real0 = check_array(real0) - real0_data = real0.data - real1 = check_array(real1) - real1_data = real1.data - length = check_length2(real0, real1) - outreal = NaN - retCode = lib.TA_MULT( (length) - 1 , (length) - 1 , real0_data , real1_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_MULT", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_NATR( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_MULT_Close(self._handle) + self._handle = NULL + + def __init__(self, real0, real1): + cdef np.ndarray a_real0 = _stream_input(real0) + cdef np.ndarray a_real1 = _stream_input(real1) + cdef tuple arrays = (a_real0, a_real1,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_MULT_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_MULT_Open(&handle, a_real0.data + begidx, a_real1.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_MULT_Open", retCode, historylen, lib.TA_MULT_Lookback() + 1) + if self._handle is not NULL: + TA_MULT_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real0, real1): + cdef np.ndarray a_real0 = _stream_input(real0) + cdef np.ndarray a_real1 = _stream_input(real1) + cdef tuple arrays = (a_real0, a_real1,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_MULT_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_MULT_Stream* handle = NULL + cdef TA_RetCode retCode = TA_MULT_OpenAndFill(&handle, a_real0.data + begidx, a_real1.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_MULT_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef MULT_Stream stream = MULT_Stream.__new__(MULT_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real0, real1,), outreal) + + @cython.binding(False) + def update(self, double real0, double real1): + cdef double outreal + cdef TA_RetCode retCode = TA_MULT_Update(self._handle, real0, real1, &outreal) + if retCode != 0: + _ta_check_success("TA_MULT_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real0, double real1): + cdef double outreal + cdef TA_RetCode retCode = TA_MULT_Peek(self._handle, real0, real1, &outreal) + if retCode != 0: + _ta_check_success("TA_MULT_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_MULT_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_MULT_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_MULT_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_MULT_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_MULT_Stream* clone = NULL + cdef TA_RetCode retCode = TA_MULT_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_MULT_Clone", retCode) + cdef MULT_Stream stream = MULT_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class NATR_Stream(Stream): """ NATR(high, low, close[, timeperiod=?]) Normalized Average True Range (Volatility Indicators) @@ -4950,30 +17149,95 @@ def stream_NATR( np.ndarray high not None , np.ndarray low not None , np.ndarray Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outreal = NaN - retCode = lib.TA_NATR( (length) - 1 , (length) - 1 , high_data , low_data , close_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_NATR", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_NVI( np.ndarray close not None , np.ndarray volume not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_NATR_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_NATR_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_NATR_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_NATR_Open", retCode, historylen, lib.TA_NATR_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_NATR_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_NATR_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_NATR_Stream* handle = NULL + cdef TA_RetCode retCode = TA_NATR_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_NATR_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef NATR_Stream stream = NATR_Stream.__new__(NATR_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low, close,), outreal) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_NATR_Update(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_NATR_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_NATR_Peek(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_NATR_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_NATR_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_NATR_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_NATR_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_NATR_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_NATR_Stream* clone = NULL + cdef TA_RetCode retCode = TA_NATR_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_NATR_Clone", retCode) + cdef NATR_Stream stream = NATR_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class NVI_Stream(Stream): """ NVI(close, volume) Negative Volume Index (Volume Indicators) @@ -4983,27 +17247,93 @@ def stream_NVI( np.ndarray close not None , np.ndarray volume not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* close_data - double* volume_data - int outbegidx - int outnbelement - double outreal - close = check_array(close) - close_data = close.data - volume = check_array(volume) - volume_data = volume.data - length = check_length2(close, volume) - outreal = NaN - retCode = lib.TA_NVI( (length) - 1 , (length) - 1 , close_data , volume_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_NVI", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_OBV( np.ndarray real not None , np.ndarray volume not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_NVI_Close(self._handle) + self._handle = NULL + + def __init__(self, close, volume): + cdef np.ndarray a_close = _stream_input(close) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_close, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_NVI_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_NVI_Open(&handle, a_close.data + begidx, a_volume.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_NVI_Open", retCode, historylen, lib.TA_NVI_Lookback() + 1) + if self._handle is not NULL: + TA_NVI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(close, volume): + cdef np.ndarray a_close = _stream_input(close) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_close, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_NVI_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_NVI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_NVI_OpenAndFill(&handle, a_close.data + begidx, a_volume.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_NVI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef NVI_Stream stream = NVI_Stream.__new__(NVI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((close, volume,), outreal) + + @cython.binding(False) + def update(self, double close, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_NVI_Update(self._handle, close, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_NVI_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double close, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_NVI_Peek(self._handle, close, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_NVI_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_NVI_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_NVI_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_NVI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_NVI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_NVI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_NVI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_NVI_Clone", retCode) + cdef NVI_Stream stream = NVI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class OBV_Stream(Stream): """ OBV(real, volume) On Balance Volume (Volume Indicators) @@ -5014,27 +17344,93 @@ def stream_OBV( np.ndarray real not None , np.ndarray volume not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - double* volume_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - volume = check_array(volume) - volume_data = volume.data - length = check_length2(real, volume) - outreal = NaN - retCode = lib.TA_OBV( (length) - 1 , (length) - 1 , real_data , volume_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_OBV", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_PERCENTILE( np.ndarray real not None , int timeperiod=-2**31 , double percentile=50.0 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_OBV_Close(self._handle) + self._handle = NULL + + def __init__(self, real, volume): + cdef np.ndarray a_real = _stream_input(real) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_real, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_OBV_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_OBV_Open(&handle, a_real.data + begidx, a_volume.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_OBV_Open", retCode, historylen, lib.TA_OBV_Lookback() + 1) + if self._handle is not NULL: + TA_OBV_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, volume): + cdef np.ndarray a_real = _stream_input(real) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_real, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_OBV_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_OBV_Stream* handle = NULL + cdef TA_RetCode retCode = TA_OBV_OpenAndFill(&handle, a_real.data + begidx, a_volume.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_OBV_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef OBV_Stream stream = OBV_Stream.__new__(OBV_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real, volume,), outreal) + + @cython.binding(False) + def update(self, double real, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_OBV_Update(self._handle, real, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_OBV_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_OBV_Peek(self._handle, real, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_OBV_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_OBV_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_OBV_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_OBV_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_OBV_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_OBV_Stream* clone = NULL + cdef TA_RetCode retCode = TA_OBV_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_OBV_Clone", retCode) + cdef OBV_Stream stream = OBV_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class PERCENTILE_Stream(Stream): """ PERCENTILE(real[, timeperiod=?, percentile=?]) Percentile (nearest rank) (Statistic Functions) @@ -5047,24 +17443,91 @@ def stream_PERCENTILE( np.ndarray real not None , int timeperiod=-2**31 , double Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_PERCENTILE( (length) - 1 , (length) - 1 , real_data , timeperiod , percentile , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_PERCENTILE", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_PERCENTRANK( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_PERCENTILE_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31, double percentile=50.0): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_PERCENTILE_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_PERCENTILE_Open(&handle, a_real.data + begidx, historylen, timeperiod, percentile, &outreal) + if retCode != 0: + _stream_open_failed("TA_PERCENTILE_Open", retCode, historylen, lib.TA_PERCENTILE_Lookback(timeperiod, percentile) + 1) + if self._handle is not NULL: + TA_PERCENTILE_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31, double percentile=50.0): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_PERCENTILE_Lookback(timeperiod, percentile) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_PERCENTILE_Stream* handle = NULL + cdef TA_RetCode retCode = TA_PERCENTILE_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, percentile, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_PERCENTILE_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef PERCENTILE_Stream stream = PERCENTILE_Stream.__new__(PERCENTILE_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_PERCENTILE_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_PERCENTILE_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_PERCENTILE_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_PERCENTILE_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_PERCENTILE_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_PERCENTILE_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_PERCENTILE_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_PERCENTILE_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_PERCENTILE_Stream* clone = NULL + cdef TA_RetCode retCode = TA_PERCENTILE_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_PERCENTILE_Clone", retCode) + cdef PERCENTILE_Stream stream = PERCENTILE_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class PERCENTRANK_Stream(Stream): """ PERCENTRANK(real[, timeperiod=?]) Percent Rank (Statistic Functions) @@ -5076,24 +17539,91 @@ def stream_PERCENTRANK( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_PERCENTRANK( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_PERCENTRANK", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_PLUS_DI( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_PERCENTRANK_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_PERCENTRANK_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_PERCENTRANK_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_PERCENTRANK_Open", retCode, historylen, lib.TA_PERCENTRANK_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_PERCENTRANK_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_PERCENTRANK_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_PERCENTRANK_Stream* handle = NULL + cdef TA_RetCode retCode = TA_PERCENTRANK_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_PERCENTRANK_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef PERCENTRANK_Stream stream = PERCENTRANK_Stream.__new__(PERCENTRANK_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_PERCENTRANK_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_PERCENTRANK_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_PERCENTRANK_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_PERCENTRANK_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_PERCENTRANK_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_PERCENTRANK_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_PERCENTRANK_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_PERCENTRANK_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_PERCENTRANK_Stream* clone = NULL + cdef TA_RetCode retCode = TA_PERCENTRANK_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_PERCENTRANK_Clone", retCode) + cdef PERCENTRANK_Stream stream = PERCENTRANK_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class PLUS_DI_Stream(Stream): """ PLUS_DI(high, low, close[, timeperiod=?]) Plus Directional Indicator (Momentum Indicators) @@ -5105,30 +17635,95 @@ def stream_PLUS_DI( np.ndarray high not None , np.ndarray low not None , np.ndar Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outreal = NaN - retCode = lib.TA_PLUS_DI( (length) - 1 , (length) - 1 , high_data , low_data , close_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_PLUS_DI", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_PLUS_DM( np.ndarray high not None , np.ndarray low not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_PLUS_DI_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_PLUS_DI_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_PLUS_DI_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_PLUS_DI_Open", retCode, historylen, lib.TA_PLUS_DI_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_PLUS_DI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_PLUS_DI_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_PLUS_DI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_PLUS_DI_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_PLUS_DI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef PLUS_DI_Stream stream = PLUS_DI_Stream.__new__(PLUS_DI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low, close,), outreal) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_PLUS_DI_Update(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_PLUS_DI_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_PLUS_DI_Peek(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_PLUS_DI_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_PLUS_DI_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_PLUS_DI_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_PLUS_DI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_PLUS_DI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_PLUS_DI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_PLUS_DI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_PLUS_DI_Clone", retCode) + cdef PLUS_DI_Stream stream = PLUS_DI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class PLUS_DM_Stream(Stream): """ PLUS_DM(high, low[, timeperiod=?]) Plus Directional Movement (Momentum Indicators) @@ -5140,27 +17735,93 @@ def stream_PLUS_DM( np.ndarray high not None , np.ndarray low not None , int tim Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - length = check_length2(high, low) - outreal = NaN - retCode = lib.TA_PLUS_DM( (length) - 1 , (length) - 1 , high_data , low_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_PLUS_DM", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_PPO( np.ndarray real not None , int fastperiod=-2**31 , int slowperiod=-2**31 , int matype=1 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_PLUS_DM_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_PLUS_DM_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_PLUS_DM_Open(&handle, a_high.data + begidx, a_low.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_PLUS_DM_Open", retCode, historylen, lib.TA_PLUS_DM_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_PLUS_DM_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_PLUS_DM_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_PLUS_DM_Stream* handle = NULL + cdef TA_RetCode retCode = TA_PLUS_DM_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_PLUS_DM_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef PLUS_DM_Stream stream = PLUS_DM_Stream.__new__(PLUS_DM_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low,), outreal) + + @cython.binding(False) + def update(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_PLUS_DM_Update(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_PLUS_DM_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_PLUS_DM_Peek(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_PLUS_DM_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_PLUS_DM_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_PLUS_DM_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_PLUS_DM_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_PLUS_DM_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_PLUS_DM_Stream* clone = NULL + cdef TA_RetCode retCode = TA_PLUS_DM_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_PLUS_DM_Clone", retCode) + cdef PLUS_DM_Stream stream = PLUS_DM_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class PPO_Stream(Stream): """ PPO(real[, fastperiod=?, slowperiod=?, matype=?]) Percentage Price Oscillator (Momentum Indicators) @@ -5174,24 +17835,91 @@ def stream_PPO( np.ndarray real not None , int fastperiod=-2**31 , int slowperio Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_PPO( (length) - 1 , (length) - 1 , real_data , fastperiod , slowperiod , matype , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_PPO", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_PVI( np.ndarray close not None , np.ndarray volume not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_PPO_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int fastperiod=-2**31, int slowperiod=-2**31, int matype=1): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_PPO_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_PPO_Open(&handle, a_real.data + begidx, historylen, fastperiod, slowperiod, matype, &outreal) + if retCode != 0: + _stream_open_failed("TA_PPO_Open", retCode, historylen, lib.TA_PPO_Lookback(fastperiod, slowperiod, matype) + 1) + if self._handle is not NULL: + TA_PPO_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int fastperiod=-2**31, int slowperiod=-2**31, int matype=1): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_PPO_Lookback(fastperiod, slowperiod, matype) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_PPO_Stream* handle = NULL + cdef TA_RetCode retCode = TA_PPO_OpenAndFill(&handle, a_real.data + begidx, historylen, fastperiod, slowperiod, matype, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_PPO_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef PPO_Stream stream = PPO_Stream.__new__(PPO_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_PPO_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_PPO_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_PPO_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_PPO_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_PPO_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_PPO_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_PPO_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_PPO_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_PPO_Stream* clone = NULL + cdef TA_RetCode retCode = TA_PPO_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_PPO_Clone", retCode) + cdef PPO_Stream stream = PPO_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class PVI_Stream(Stream): """ PVI(close, volume) Positive Volume Index (Volume Indicators) @@ -5201,27 +17929,93 @@ def stream_PVI( np.ndarray close not None , np.ndarray volume not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* close_data - double* volume_data - int outbegidx - int outnbelement - double outreal - close = check_array(close) - close_data = close.data - volume = check_array(volume) - volume_data = volume.data - length = check_length2(close, volume) - outreal = NaN - retCode = lib.TA_PVI( (length) - 1 , (length) - 1 , close_data , volume_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_PVI", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_PVO( np.ndarray volume not None , int fastperiod=-2**31 , int slowperiod=-2**31 , int matype=1 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_PVI_Close(self._handle) + self._handle = NULL + + def __init__(self, close, volume): + cdef np.ndarray a_close = _stream_input(close) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_close, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_PVI_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_PVI_Open(&handle, a_close.data + begidx, a_volume.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_PVI_Open", retCode, historylen, lib.TA_PVI_Lookback() + 1) + if self._handle is not NULL: + TA_PVI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(close, volume): + cdef np.ndarray a_close = _stream_input(close) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_close, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_PVI_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_PVI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_PVI_OpenAndFill(&handle, a_close.data + begidx, a_volume.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_PVI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef PVI_Stream stream = PVI_Stream.__new__(PVI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((close, volume,), outreal) + + @cython.binding(False) + def update(self, double close, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_PVI_Update(self._handle, close, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_PVI_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double close, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_PVI_Peek(self._handle, close, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_PVI_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_PVI_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_PVI_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_PVI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_PVI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_PVI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_PVI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_PVI_Clone", retCode) + cdef PVI_Stream stream = PVI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class PVO_Stream(Stream): """ PVO(volume[, fastperiod=?, slowperiod=?, matype=?]) Percentage Volume Oscillator (Volume Indicators) @@ -5235,24 +18029,91 @@ def stream_PVO( np.ndarray volume not None , int fastperiod=-2**31 , int slowper Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* volume_data - int outbegidx - int outnbelement - double outreal - volume = check_array(volume) - volume_data = volume.data - length = volume.shape[0] - outreal = NaN - retCode = lib.TA_PVO( (length) - 1 , (length) - 1 , volume_data , fastperiod , slowperiod , matype , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_PVO", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_PVT( np.ndarray close not None , np.ndarray volume not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_PVO_Close(self._handle) + self._handle = NULL + + def __init__(self, volume, int fastperiod=-2**31, int slowperiod=-2**31, int matype=1): + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_PVO_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_PVO_Open(&handle, a_volume.data + begidx, historylen, fastperiod, slowperiod, matype, &outreal) + if retCode != 0: + _stream_open_failed("TA_PVO_Open", retCode, historylen, lib.TA_PVO_Lookback(fastperiod, slowperiod, matype) + 1) + if self._handle is not NULL: + TA_PVO_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(volume, int fastperiod=-2**31, int slowperiod=-2**31, int matype=1): + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_PVO_Lookback(fastperiod, slowperiod, matype) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_PVO_Stream* handle = NULL + cdef TA_RetCode retCode = TA_PVO_OpenAndFill(&handle, a_volume.data + begidx, historylen, fastperiod, slowperiod, matype, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_PVO_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef PVO_Stream stream = PVO_Stream.__new__(PVO_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((volume,), outreal) + + @cython.binding(False) + def update(self, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_PVO_Update(self._handle, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_PVO_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_PVO_Peek(self._handle, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_PVO_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_PVO_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_PVO_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_PVO_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_PVO_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_PVO_Stream* clone = NULL + cdef TA_RetCode retCode = TA_PVO_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_PVO_Clone", retCode) + cdef PVO_Stream stream = PVO_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class PVT_Stream(Stream): """ PVT(close, volume) Price Volume Trend (Volume Indicators) @@ -5262,27 +18123,93 @@ def stream_PVT( np.ndarray close not None , np.ndarray volume not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* close_data - double* volume_data - int outbegidx - int outnbelement - double outreal - close = check_array(close) - close_data = close.data - volume = check_array(volume) - volume_data = volume.data - length = check_length2(close, volume) - outreal = NaN - retCode = lib.TA_PVT( (length) - 1 , (length) - 1 , close_data , volume_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_PVT", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_QSTICK( np.ndarray open not None , np.ndarray close not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_PVT_Close(self._handle) + self._handle = NULL + + def __init__(self, close, volume): + cdef np.ndarray a_close = _stream_input(close) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_close, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_PVT_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_PVT_Open(&handle, a_close.data + begidx, a_volume.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_PVT_Open", retCode, historylen, lib.TA_PVT_Lookback() + 1) + if self._handle is not NULL: + TA_PVT_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(close, volume): + cdef np.ndarray a_close = _stream_input(close) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_close, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_PVT_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_PVT_Stream* handle = NULL + cdef TA_RetCode retCode = TA_PVT_OpenAndFill(&handle, a_close.data + begidx, a_volume.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_PVT_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef PVT_Stream stream = PVT_Stream.__new__(PVT_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((close, volume,), outreal) + + @cython.binding(False) + def update(self, double close, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_PVT_Update(self._handle, close, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_PVT_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double close, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_PVT_Peek(self._handle, close, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_PVT_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_PVT_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_PVT_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_PVT_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_PVT_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_PVT_Stream* clone = NULL + cdef TA_RetCode retCode = TA_PVT_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_PVT_Clone", retCode) + cdef PVT_Stream stream = PVT_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class QSTICK_Stream(Stream): """ QSTICK(open, close[, timeperiod=?]) Qstick (Momentum Indicators) @@ -5294,27 +18221,93 @@ def stream_QSTICK( np.ndarray open not None , np.ndarray close not None , int ti Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* open_data - double* close_data - int outbegidx - int outnbelement - double outreal - open = check_array(open) - open_data = open.data - close = check_array(close) - close_data = close.data - length = check_length2(open, close) - outreal = NaN - retCode = lib.TA_QSTICK( (length) - 1 , (length) - 1 , open_data , close_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_QSTICK", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_RMA( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_QSTICK_Close(self._handle) + self._handle = NULL + + def __init__(self, open, close, int timeperiod=-2**31): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_QSTICK_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_QSTICK_Open(&handle, a_open.data + begidx, a_close.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_QSTICK_Open", retCode, historylen, lib.TA_QSTICK_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_QSTICK_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(open, close, int timeperiod=-2**31): + cdef np.ndarray a_open = _stream_input(open) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_open, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_QSTICK_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_QSTICK_Stream* handle = NULL + cdef TA_RetCode retCode = TA_QSTICK_OpenAndFill(&handle, a_open.data + begidx, a_close.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_QSTICK_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef QSTICK_Stream stream = QSTICK_Stream.__new__(QSTICK_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((open, close,), outreal) + + @cython.binding(False) + def update(self, double open, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_QSTICK_Update(self._handle, open, close, &outreal) + if retCode != 0: + _ta_check_success("TA_QSTICK_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double open, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_QSTICK_Peek(self._handle, open, close, &outreal) + if retCode != 0: + _ta_check_success("TA_QSTICK_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_QSTICK_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_QSTICK_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_QSTICK_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_QSTICK_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_QSTICK_Stream* clone = NULL + cdef TA_RetCode retCode = TA_QSTICK_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_QSTICK_Clone", retCode) + cdef QSTICK_Stream stream = QSTICK_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class RMA_Stream(Stream): """ RMA(real[, timeperiod=?]) Wilder's Smoothed Moving Average (Overlap Studies) @@ -5326,24 +18319,91 @@ def stream_RMA( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_RMA( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_RMA", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_ROC( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_RMA_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_RMA_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_RMA_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_RMA_Open", retCode, historylen, lib.TA_RMA_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_RMA_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_RMA_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_RMA_Stream* handle = NULL + cdef TA_RetCode retCode = TA_RMA_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_RMA_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef RMA_Stream stream = RMA_Stream.__new__(RMA_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_RMA_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_RMA_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_RMA_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_RMA_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_RMA_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_RMA_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_RMA_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_RMA_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_RMA_Stream* clone = NULL + cdef TA_RetCode retCode = TA_RMA_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_RMA_Clone", retCode) + cdef RMA_Stream stream = RMA_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class ROC_Stream(Stream): """ ROC(real[, timeperiod=?]) Rate of change : ((real/prevPrice)-1)*100 (Momentum Indicators) @@ -5355,24 +18415,91 @@ def stream_ROC( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_ROC( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_ROC", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_ROCP( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_ROC_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_ROC_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_ROC_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_ROC_Open", retCode, historylen, lib.TA_ROC_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_ROC_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_ROC_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_ROC_Stream* handle = NULL + cdef TA_RetCode retCode = TA_ROC_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_ROC_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef ROC_Stream stream = ROC_Stream.__new__(ROC_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_ROC_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_ROC_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_ROC_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_ROC_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_ROC_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_ROC_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_ROC_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_ROC_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_ROC_Stream* clone = NULL + cdef TA_RetCode retCode = TA_ROC_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_ROC_Clone", retCode) + cdef ROC_Stream stream = ROC_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class ROCP_Stream(Stream): """ ROCP(real[, timeperiod=?]) Rate of change Percentage: (real-prevPrice)/prevPrice (Momentum Indicators) @@ -5384,24 +18511,91 @@ def stream_ROCP( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_ROCP( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_ROCP", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_ROCR( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_ROCP_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_ROCP_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_ROCP_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_ROCP_Open", retCode, historylen, lib.TA_ROCP_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_ROCP_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_ROCP_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_ROCP_Stream* handle = NULL + cdef TA_RetCode retCode = TA_ROCP_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_ROCP_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef ROCP_Stream stream = ROCP_Stream.__new__(ROCP_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_ROCP_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_ROCP_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_ROCP_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_ROCP_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_ROCP_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_ROCP_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_ROCP_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_ROCP_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_ROCP_Stream* clone = NULL + cdef TA_RetCode retCode = TA_ROCP_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_ROCP_Clone", retCode) + cdef ROCP_Stream stream = ROCP_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class ROCR_Stream(Stream): """ ROCR(real[, timeperiod=?]) Rate of change ratio: (real/prevPrice) (Momentum Indicators) @@ -5413,24 +18607,91 @@ def stream_ROCR( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_ROCR( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_ROCR", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_ROCR100( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_ROCR_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_ROCR_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_ROCR_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_ROCR_Open", retCode, historylen, lib.TA_ROCR_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_ROCR_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_ROCR_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_ROCR_Stream* handle = NULL + cdef TA_RetCode retCode = TA_ROCR_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_ROCR_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef ROCR_Stream stream = ROCR_Stream.__new__(ROCR_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_ROCR_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_ROCR_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_ROCR_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_ROCR_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_ROCR_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_ROCR_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_ROCR_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_ROCR_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_ROCR_Stream* clone = NULL + cdef TA_RetCode retCode = TA_ROCR_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_ROCR_Clone", retCode) + cdef ROCR_Stream stream = ROCR_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class ROCR100_Stream(Stream): """ ROCR100(real[, timeperiod=?]) Rate of change ratio 100 scale: (real/prevPrice)*100 (Momentum Indicators) @@ -5442,24 +18703,91 @@ def stream_ROCR100( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_ROCR100( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_ROCR100", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_RSI( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_ROCR100_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_ROCR100_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_ROCR100_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_ROCR100_Open", retCode, historylen, lib.TA_ROCR100_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_ROCR100_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_ROCR100_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_ROCR100_Stream* handle = NULL + cdef TA_RetCode retCode = TA_ROCR100_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_ROCR100_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef ROCR100_Stream stream = ROCR100_Stream.__new__(ROCR100_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_ROCR100_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_ROCR100_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_ROCR100_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_ROCR100_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_ROCR100_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_ROCR100_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_ROCR100_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_ROCR100_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_ROCR100_Stream* clone = NULL + cdef TA_RetCode retCode = TA_ROCR100_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_ROCR100_Clone", retCode) + cdef ROCR100_Stream stream = ROCR100_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class RSI_Stream(Stream): """ RSI(real[, timeperiod=?]) Relative Strength Index (Momentum Indicators) @@ -5471,24 +18799,91 @@ def stream_RSI( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_RSI( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_RSI", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_RVI( np.ndarray real not None , int timeperiod=-2**31 , int stddevperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_RSI_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_RSI_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_RSI_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_RSI_Open", retCode, historylen, lib.TA_RSI_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_RSI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_RSI_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_RSI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_RSI_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_RSI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef RSI_Stream stream = RSI_Stream.__new__(RSI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_RSI_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_RSI_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_RSI_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_RSI_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_RSI_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_RSI_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_RSI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_RSI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_RSI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_RSI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_RSI_Clone", retCode) + cdef RSI_Stream stream = RSI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class RVI_Stream(Stream): """ RVI(real[, timeperiod=?, stddevperiod=?]) Relative Volatility Index (Volatility Indicators) @@ -5501,24 +18896,91 @@ def stream_RVI( np.ndarray real not None , int timeperiod=-2**31 , int stddevper Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_RVI( (length) - 1 , (length) - 1 , real_data , timeperiod , stddevperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_RVI", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_RVOL( np.ndarray volume not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_RVI_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31, int stddevperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_RVI_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_RVI_Open(&handle, a_real.data + begidx, historylen, timeperiod, stddevperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_RVI_Open", retCode, historylen, lib.TA_RVI_Lookback(timeperiod, stddevperiod) + 1) + if self._handle is not NULL: + TA_RVI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31, int stddevperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_RVI_Lookback(timeperiod, stddevperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_RVI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_RVI_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, stddevperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_RVI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef RVI_Stream stream = RVI_Stream.__new__(RVI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_RVI_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_RVI_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_RVI_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_RVI_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_RVI_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_RVI_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_RVI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_RVI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_RVI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_RVI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_RVI_Clone", retCode) + cdef RVI_Stream stream = RVI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class RVOL_Stream(Stream): """ RVOL(volume[, timeperiod=?]) Relative Volume (Volume Indicators) @@ -5530,24 +18992,91 @@ def stream_RVOL( np.ndarray volume not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* volume_data - int outbegidx - int outnbelement - double outreal - volume = check_array(volume) - volume_data = volume.data - length = volume.shape[0] - outreal = NaN - retCode = lib.TA_RVOL( (length) - 1 , (length) - 1 , volume_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_RVOL", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_SAR( np.ndarray high not None , np.ndarray low not None , double acceleration=0.02 , double maximum=0.2 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_RVOL_Close(self._handle) + self._handle = NULL + + def __init__(self, volume, int timeperiod=-2**31): + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_RVOL_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_RVOL_Open(&handle, a_volume.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_RVOL_Open", retCode, historylen, lib.TA_RVOL_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_RVOL_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(volume, int timeperiod=-2**31): + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_RVOL_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_RVOL_Stream* handle = NULL + cdef TA_RetCode retCode = TA_RVOL_OpenAndFill(&handle, a_volume.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_RVOL_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef RVOL_Stream stream = RVOL_Stream.__new__(RVOL_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((volume,), outreal) + + @cython.binding(False) + def update(self, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_RVOL_Update(self._handle, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_RVOL_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_RVOL_Peek(self._handle, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_RVOL_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_RVOL_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_RVOL_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_RVOL_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_RVOL_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_RVOL_Stream* clone = NULL + cdef TA_RetCode retCode = TA_RVOL_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_RVOL_Clone", retCode) + cdef RVOL_Stream stream = RVOL_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class SAR_Stream(Stream): """ SAR(high, low[, acceleration=?, maximum=?]) Parabolic SAR (Overlap Studies) @@ -5560,27 +19089,93 @@ def stream_SAR( np.ndarray high not None , np.ndarray low not None , double acce Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - length = check_length2(high, low) - outreal = NaN - retCode = lib.TA_SAR( (length) - 1 , (length) - 1 , high_data , low_data , acceleration , maximum , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_SAR", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_SAREXT( np.ndarray high not None , np.ndarray low not None , double startvalue=-4e37 , double offsetonreverse=-4e37 , double accelerationinitlong=-4e37 , double accelerationlong=-4e37 , double accelerationmaxlong=-4e37 , double accelerationinitshort=-4e37 , double accelerationshort=-4e37 , double accelerationmaxshort=-4e37 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_SAR_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, double acceleration=0.02, double maximum=0.2): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_SAR_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_SAR_Open(&handle, a_high.data + begidx, a_low.data + begidx, historylen, acceleration, maximum, &outreal) + if retCode != 0: + _stream_open_failed("TA_SAR_Open", retCode, historylen, lib.TA_SAR_Lookback(acceleration, maximum) + 1) + if self._handle is not NULL: + TA_SAR_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, double acceleration=0.02, double maximum=0.2): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_SAR_Lookback(acceleration, maximum) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_SAR_Stream* handle = NULL + cdef TA_RetCode retCode = TA_SAR_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, historylen, acceleration, maximum, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_SAR_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef SAR_Stream stream = SAR_Stream.__new__(SAR_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low,), outreal) + + @cython.binding(False) + def update(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_SAR_Update(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_SAR_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_SAR_Peek(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_SAR_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_SAR_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_SAR_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_SAR_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_SAR_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_SAR_Stream* clone = NULL + cdef TA_RetCode retCode = TA_SAR_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_SAR_Clone", retCode) + cdef SAR_Stream stream = SAR_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class SAREXT_Stream(Stream): """ SAREXT(high, low[, startvalue=?, offsetonreverse=?, accelerationinitlong=?, accelerationlong=?, accelerationmaxlong=?, accelerationinitshort=?, accelerationshort=?, accelerationmaxshort=?]) Parabolic SAR - Extended (Overlap Studies) @@ -5599,27 +19194,93 @@ def stream_SAREXT( np.ndarray high not None , np.ndarray low not None , double s Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - length = check_length2(high, low) - outreal = NaN - retCode = lib.TA_SAREXT( (length) - 1 , (length) - 1 , high_data , low_data , startvalue , offsetonreverse , accelerationinitlong , accelerationlong , accelerationmaxlong , accelerationinitshort , accelerationshort , accelerationmaxshort , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_SAREXT", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_SIN( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_SAREXT_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, double startvalue=-4e37, double offsetonreverse=-4e37, double accelerationinitlong=-4e37, double accelerationlong=-4e37, double accelerationmaxlong=-4e37, double accelerationinitshort=-4e37, double accelerationshort=-4e37, double accelerationmaxshort=-4e37): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_SAREXT_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_SAREXT_Open(&handle, a_high.data + begidx, a_low.data + begidx, historylen, startvalue, offsetonreverse, accelerationinitlong, accelerationlong, accelerationmaxlong, accelerationinitshort, accelerationshort, accelerationmaxshort, &outreal) + if retCode != 0: + _stream_open_failed("TA_SAREXT_Open", retCode, historylen, lib.TA_SAREXT_Lookback(startvalue, offsetonreverse, accelerationinitlong, accelerationlong, accelerationmaxlong, accelerationinitshort, accelerationshort, accelerationmaxshort) + 1) + if self._handle is not NULL: + TA_SAREXT_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, double startvalue=-4e37, double offsetonreverse=-4e37, double accelerationinitlong=-4e37, double accelerationlong=-4e37, double accelerationmaxlong=-4e37, double accelerationinitshort=-4e37, double accelerationshort=-4e37, double accelerationmaxshort=-4e37): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef tuple arrays = (a_high, a_low,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_SAREXT_Lookback(startvalue, offsetonreverse, accelerationinitlong, accelerationlong, accelerationmaxlong, accelerationinitshort, accelerationshort, accelerationmaxshort) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_SAREXT_Stream* handle = NULL + cdef TA_RetCode retCode = TA_SAREXT_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, historylen, startvalue, offsetonreverse, accelerationinitlong, accelerationlong, accelerationmaxlong, accelerationinitshort, accelerationshort, accelerationmaxshort, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_SAREXT_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef SAREXT_Stream stream = SAREXT_Stream.__new__(SAREXT_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low,), outreal) + + @cython.binding(False) + def update(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_SAREXT_Update(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_SAREXT_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low): + cdef double outreal + cdef TA_RetCode retCode = TA_SAREXT_Peek(self._handle, high, low, &outreal) + if retCode != 0: + _ta_check_success("TA_SAREXT_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_SAREXT_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_SAREXT_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_SAREXT_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_SAREXT_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_SAREXT_Stream* clone = NULL + cdef TA_RetCode retCode = TA_SAREXT_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_SAREXT_Clone", retCode) + cdef SAREXT_Stream stream = SAREXT_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class SIN_Stream(Stream): """ SIN(real) Vector Trigonometric Sin (Math Transform) @@ -5629,24 +19290,91 @@ def stream_SIN( np.ndarray real not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_SIN( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_SIN", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_SINH( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_SIN_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_SIN_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_SIN_Open(&handle, a_real.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_SIN_Open", retCode, historylen, lib.TA_SIN_Lookback() + 1) + if self._handle is not NULL: + TA_SIN_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_SIN_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_SIN_Stream* handle = NULL + cdef TA_RetCode retCode = TA_SIN_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_SIN_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef SIN_Stream stream = SIN_Stream.__new__(SIN_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_SIN_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_SIN_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_SIN_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_SIN_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_SIN_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_SIN_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_SIN_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_SIN_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_SIN_Stream* clone = NULL + cdef TA_RetCode retCode = TA_SIN_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_SIN_Clone", retCode) + cdef SIN_Stream stream = SIN_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class SINH_Stream(Stream): """ SINH(real) Vector Trigonometric Sinh (Math Transform) @@ -5656,24 +19384,91 @@ def stream_SINH( np.ndarray real not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_SINH( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_SINH", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_SMA( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_SINH_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_SINH_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_SINH_Open(&handle, a_real.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_SINH_Open", retCode, historylen, lib.TA_SINH_Lookback() + 1) + if self._handle is not NULL: + TA_SINH_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_SINH_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_SINH_Stream* handle = NULL + cdef TA_RetCode retCode = TA_SINH_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_SINH_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef SINH_Stream stream = SINH_Stream.__new__(SINH_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_SINH_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_SINH_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_SINH_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_SINH_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_SINH_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_SINH_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_SINH_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_SINH_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_SINH_Stream* clone = NULL + cdef TA_RetCode retCode = TA_SINH_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_SINH_Clone", retCode) + cdef SINH_Stream stream = SINH_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class SMA_Stream(Stream): """ SMA(real[, timeperiod=?]) Simple Moving Average (Overlap Studies) @@ -5685,24 +19480,93 @@ def stream_SMA( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_SMA( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_SMA", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_SMI( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , int timeperiod=-2**31 , int fastperiod=-2**31 , int slowperiod=-2**31 , int signalperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_SMA_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_SMA_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_SMA_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_SMA_Open", retCode, historylen, lib.TA_SMA_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_SMA_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_SMA_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_SMA_Stream* handle = NULL + cdef TA_RetCode retCode = TA_SMA_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_SMA_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef SMA_Stream stream = SMA_Stream.__new__(SMA_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_SMA_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_SMA_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_SMA_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_SMA_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_SMA_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_SMA_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_SMA_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_SMA_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_SMA_Stream* clone = NULL + cdef TA_RetCode retCode = TA_SMA_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_SMA_Clone", retCode) + cdef SMA_Stream stream = SMA_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +SMI_Value = namedtuple("SMI_Value", "smi smisignal", module=__name__) + +cdef class SMI_Stream(Stream): """ SMI(high, low, close[, timeperiod=?, fastperiod=?, slowperiod=?, signalperiod=?]) Stochastic Momentum Index (Momentum Indicators) @@ -5718,32 +19582,100 @@ def stream_SMI( np.ndarray high not None , np.ndarray low not None , np.ndarray smi smisignal """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outsmi - double outsmisignal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outsmi = NaN - outsmisignal = NaN - retCode = lib.TA_SMI( (length) - 1 , (length) - 1 , high_data , low_data , close_data , timeperiod , fastperiod , slowperiod , signalperiod , &outbegidx , &outnbelement , &outsmi , &outsmisignal ) - _ta_check_success("TA_SMI", retCode) - return outsmi , outsmisignal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_SQRT( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_SMI_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, int timeperiod=-2**31, int fastperiod=-2**31, int slowperiod=-2**31, int signalperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_SMI_Stream* handle = NULL + cdef double outsmi + cdef double outsmisignal + cdef TA_RetCode retCode = TA_SMI_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, fastperiod, slowperiod, signalperiod, &outsmi, &outsmisignal) + if retCode != 0: + _stream_open_failed("TA_SMI_Open", retCode, historylen, lib.TA_SMI_Lookback(timeperiod, fastperiod, slowperiod, signalperiod) + 1) + if self._handle is not NULL: + TA_SMI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, int timeperiod=-2**31, int fastperiod=-2**31, int slowperiod=-2**31, int signalperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_SMI_Lookback(timeperiod, fastperiod, slowperiod, signalperiod) + cdef np.ndarray outsmi = make_double_array(length, lookback) + cdef np.ndarray outsmisignal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_SMI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_SMI_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, fastperiod, slowperiod, signalperiod, &outbegidx, &outnbelement, outsmi.data + lookback, outsmisignal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_SMI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef SMI_Stream stream = SMI_Stream.__new__(SMI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, SMI_Value(_stream_like((high, low, close,), outsmi), _stream_like((high, low, close,), outsmisignal)) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outsmi + cdef double outsmisignal + cdef TA_RetCode retCode = TA_SMI_Update(self._handle, high, low, close, &outsmi, &outsmisignal) + if retCode != 0: + _ta_check_success("TA_SMI_Update", retCode) + return SMI_Value(outsmi, outsmisignal) + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outsmi + cdef double outsmisignal + cdef TA_RetCode retCode = TA_SMI_Peek(self._handle, high, low, close, &outsmi, &outsmisignal) + if retCode != 0: + _ta_check_success("TA_SMI_Peek", retCode) + return SMI_Value(outsmi, outsmisignal) + + @property + def value(self): + cdef double outsmi + cdef double outsmisignal + cdef TA_RetCode retCode = TA_SMI_Value(self._handle, &outsmi, &outsmisignal) + if retCode != 0: + _ta_check_success("TA_SMI_Value", retCode) + return SMI_Value(outsmi, outsmisignal) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_SMI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_SMI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_SMI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_SMI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_SMI_Clone", retCode) + cdef SMI_Stream stream = SMI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class SQRT_Stream(Stream): """ SQRT(real) Vector Square Root (Math Transform) @@ -5753,24 +19685,91 @@ def stream_SQRT( np.ndarray real not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_SQRT( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_SQRT", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_STDDEV( np.ndarray real not None , int timeperiod=-2**31 , double nbdev=-4e37 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_SQRT_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_SQRT_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_SQRT_Open(&handle, a_real.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_SQRT_Open", retCode, historylen, lib.TA_SQRT_Lookback() + 1) + if self._handle is not NULL: + TA_SQRT_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_SQRT_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_SQRT_Stream* handle = NULL + cdef TA_RetCode retCode = TA_SQRT_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_SQRT_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef SQRT_Stream stream = SQRT_Stream.__new__(SQRT_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_SQRT_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_SQRT_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_SQRT_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_SQRT_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_SQRT_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_SQRT_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_SQRT_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_SQRT_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_SQRT_Stream* clone = NULL + cdef TA_RetCode retCode = TA_SQRT_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_SQRT_Clone", retCode) + cdef SQRT_Stream stream = SQRT_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class STDDEV_Stream(Stream): """ STDDEV(real[, timeperiod=?, nbdev=?]) Standard Deviation (Statistic Functions) @@ -5783,24 +19782,93 @@ def stream_STDDEV( np.ndarray real not None , int timeperiod=-2**31 , double nbd Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_STDDEV( (length) - 1 , (length) - 1 , real_data , timeperiod , nbdev , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_STDDEV", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_STOCH( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , int fastk_period=-2**31 , int slowk_period=-2**31 , int slowk_matype=0 , int slowd_period=-2**31 , int slowd_matype=0 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_STDDEV_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31, double nbdev=-4e37): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_STDDEV_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_STDDEV_Open(&handle, a_real.data + begidx, historylen, timeperiod, nbdev, &outreal) + if retCode != 0: + _stream_open_failed("TA_STDDEV_Open", retCode, historylen, lib.TA_STDDEV_Lookback(timeperiod, nbdev) + 1) + if self._handle is not NULL: + TA_STDDEV_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31, double nbdev=-4e37): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_STDDEV_Lookback(timeperiod, nbdev) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_STDDEV_Stream* handle = NULL + cdef TA_RetCode retCode = TA_STDDEV_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, nbdev, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_STDDEV_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef STDDEV_Stream stream = STDDEV_Stream.__new__(STDDEV_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_STDDEV_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_STDDEV_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_STDDEV_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_STDDEV_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_STDDEV_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_STDDEV_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_STDDEV_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_STDDEV_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_STDDEV_Stream* clone = NULL + cdef TA_RetCode retCode = TA_STDDEV_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_STDDEV_Clone", retCode) + cdef STDDEV_Stream stream = STDDEV_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +STOCH_Value = namedtuple("STOCH_Value", "slowk slowd", module=__name__) + +cdef class STOCH_Stream(Stream): """ STOCH(high, low, close[, fastk_period=?, slowk_period=?, slowk_matype=?, slowd_period=?, slowd_matype=?]) Stochastic (Momentum Indicators) @@ -5817,32 +19885,102 @@ def stream_STOCH( np.ndarray high not None , np.ndarray low not None , np.ndarra slowk slowd """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outslowk - double outslowd - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outslowk = NaN - outslowd = NaN - retCode = lib.TA_STOCH( (length) - 1 , (length) - 1 , high_data , low_data , close_data , fastk_period , slowk_period , slowk_matype , slowd_period , slowd_matype , &outbegidx , &outnbelement , &outslowk , &outslowd ) - _ta_check_success("TA_STOCH", retCode) - return outslowk , outslowd - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_STOCHF( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , int fastk_period=-2**31 , int fastd_period=-2**31 , int fastd_matype=0 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_STOCH_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, int fastk_period=-2**31, int slowk_period=-2**31, int slowk_matype=0, int slowd_period=-2**31, int slowd_matype=0): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_STOCH_Stream* handle = NULL + cdef double outslowk + cdef double outslowd + cdef TA_RetCode retCode = TA_STOCH_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, fastk_period, slowk_period, slowk_matype, slowd_period, slowd_matype, &outslowk, &outslowd) + if retCode != 0: + _stream_open_failed("TA_STOCH_Open", retCode, historylen, lib.TA_STOCH_Lookback(fastk_period, slowk_period, slowk_matype, slowd_period, slowd_matype) + 1) + if self._handle is not NULL: + TA_STOCH_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, int fastk_period=-2**31, int slowk_period=-2**31, int slowk_matype=0, int slowd_period=-2**31, int slowd_matype=0): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_STOCH_Lookback(fastk_period, slowk_period, slowk_matype, slowd_period, slowd_matype) + cdef np.ndarray outslowk = make_double_array(length, lookback) + cdef np.ndarray outslowd = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_STOCH_Stream* handle = NULL + cdef TA_RetCode retCode = TA_STOCH_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, fastk_period, slowk_period, slowk_matype, slowd_period, slowd_matype, &outbegidx, &outnbelement, outslowk.data + lookback, outslowd.data + lookback) + if retCode != 0: + _stream_open_failed("TA_STOCH_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef STOCH_Stream stream = STOCH_Stream.__new__(STOCH_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, STOCH_Value(_stream_like((high, low, close,), outslowk), _stream_like((high, low, close,), outslowd)) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outslowk + cdef double outslowd + cdef TA_RetCode retCode = TA_STOCH_Update(self._handle, high, low, close, &outslowk, &outslowd) + if retCode != 0: + _ta_check_success("TA_STOCH_Update", retCode) + return STOCH_Value(outslowk, outslowd) + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outslowk + cdef double outslowd + cdef TA_RetCode retCode = TA_STOCH_Peek(self._handle, high, low, close, &outslowk, &outslowd) + if retCode != 0: + _ta_check_success("TA_STOCH_Peek", retCode) + return STOCH_Value(outslowk, outslowd) + + @property + def value(self): + cdef double outslowk + cdef double outslowd + cdef TA_RetCode retCode = TA_STOCH_Value(self._handle, &outslowk, &outslowd) + if retCode != 0: + _ta_check_success("TA_STOCH_Value", retCode) + return STOCH_Value(outslowk, outslowd) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_STOCH_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_STOCH_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_STOCH_Stream* clone = NULL + cdef TA_RetCode retCode = TA_STOCH_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_STOCH_Clone", retCode) + cdef STOCH_Stream stream = STOCH_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +STOCHF_Value = namedtuple("STOCHF_Value", "fastk fastd", module=__name__) + +cdef class STOCHF_Stream(Stream): """ STOCHF(high, low, close[, fastk_period=?, fastd_period=?, fastd_matype=?]) Stochastic Fast (Momentum Indicators) @@ -5857,32 +19995,102 @@ def stream_STOCHF( np.ndarray high not None , np.ndarray low not None , np.ndarr fastk fastd """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outfastk - double outfastd - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outfastk = NaN - outfastd = NaN - retCode = lib.TA_STOCHF( (length) - 1 , (length) - 1 , high_data , low_data , close_data , fastk_period , fastd_period , fastd_matype , &outbegidx , &outnbelement , &outfastk , &outfastd ) - _ta_check_success("TA_STOCHF", retCode) - return outfastk , outfastd - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_STOCHRSI( np.ndarray real not None , int timeperiod=-2**31 , int fastk_period=-2**31 , int fastd_period=-2**31 , int fastd_matype=0 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_STOCHF_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, int fastk_period=-2**31, int fastd_period=-2**31, int fastd_matype=0): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_STOCHF_Stream* handle = NULL + cdef double outfastk + cdef double outfastd + cdef TA_RetCode retCode = TA_STOCHF_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, fastk_period, fastd_period, fastd_matype, &outfastk, &outfastd) + if retCode != 0: + _stream_open_failed("TA_STOCHF_Open", retCode, historylen, lib.TA_STOCHF_Lookback(fastk_period, fastd_period, fastd_matype) + 1) + if self._handle is not NULL: + TA_STOCHF_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, int fastk_period=-2**31, int fastd_period=-2**31, int fastd_matype=0): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_STOCHF_Lookback(fastk_period, fastd_period, fastd_matype) + cdef np.ndarray outfastk = make_double_array(length, lookback) + cdef np.ndarray outfastd = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_STOCHF_Stream* handle = NULL + cdef TA_RetCode retCode = TA_STOCHF_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, fastk_period, fastd_period, fastd_matype, &outbegidx, &outnbelement, outfastk.data + lookback, outfastd.data + lookback) + if retCode != 0: + _stream_open_failed("TA_STOCHF_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef STOCHF_Stream stream = STOCHF_Stream.__new__(STOCHF_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, STOCHF_Value(_stream_like((high, low, close,), outfastk), _stream_like((high, low, close,), outfastd)) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outfastk + cdef double outfastd + cdef TA_RetCode retCode = TA_STOCHF_Update(self._handle, high, low, close, &outfastk, &outfastd) + if retCode != 0: + _ta_check_success("TA_STOCHF_Update", retCode) + return STOCHF_Value(outfastk, outfastd) + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outfastk + cdef double outfastd + cdef TA_RetCode retCode = TA_STOCHF_Peek(self._handle, high, low, close, &outfastk, &outfastd) + if retCode != 0: + _ta_check_success("TA_STOCHF_Peek", retCode) + return STOCHF_Value(outfastk, outfastd) + + @property + def value(self): + cdef double outfastk + cdef double outfastd + cdef TA_RetCode retCode = TA_STOCHF_Value(self._handle, &outfastk, &outfastd) + if retCode != 0: + _ta_check_success("TA_STOCHF_Value", retCode) + return STOCHF_Value(outfastk, outfastd) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_STOCHF_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_STOCHF_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_STOCHF_Stream* clone = NULL + cdef TA_RetCode retCode = TA_STOCHF_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_STOCHF_Clone", retCode) + cdef STOCHF_Stream stream = STOCHF_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +STOCHRSI_Value = namedtuple("STOCHRSI_Value", "fastk fastd", module=__name__) + +cdef class STOCHRSI_Stream(Stream): """ STOCHRSI(real[, timeperiod=?, fastk_period=?, fastd_period=?, fastd_matype=?]) Stochastic Relative Strength Index (Momentum Indicators) @@ -5898,26 +20106,96 @@ def stream_STOCHRSI( np.ndarray real not None , int timeperiod=-2**31 , int fast fastk fastd """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outfastk - double outfastd - real = check_array(real) - real_data = real.data - length = real.shape[0] - outfastk = NaN - outfastd = NaN - retCode = lib.TA_STOCHRSI( (length) - 1 , (length) - 1 , real_data , timeperiod , fastk_period , fastd_period , fastd_matype , &outbegidx , &outnbelement , &outfastk , &outfastd ) - _ta_check_success("TA_STOCHRSI", retCode) - return outfastk , outfastd - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_SUB( np.ndarray real0 not None , np.ndarray real1 not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_STOCHRSI_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31, int fastk_period=-2**31, int fastd_period=-2**31, int fastd_matype=0): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_STOCHRSI_Stream* handle = NULL + cdef double outfastk + cdef double outfastd + cdef TA_RetCode retCode = TA_STOCHRSI_Open(&handle, a_real.data + begidx, historylen, timeperiod, fastk_period, fastd_period, fastd_matype, &outfastk, &outfastd) + if retCode != 0: + _stream_open_failed("TA_STOCHRSI_Open", retCode, historylen, lib.TA_STOCHRSI_Lookback(timeperiod, fastk_period, fastd_period, fastd_matype) + 1) + if self._handle is not NULL: + TA_STOCHRSI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31, int fastk_period=-2**31, int fastd_period=-2**31, int fastd_matype=0): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_STOCHRSI_Lookback(timeperiod, fastk_period, fastd_period, fastd_matype) + cdef np.ndarray outfastk = make_double_array(length, lookback) + cdef np.ndarray outfastd = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_STOCHRSI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_STOCHRSI_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, fastk_period, fastd_period, fastd_matype, &outbegidx, &outnbelement, outfastk.data + lookback, outfastd.data + lookback) + if retCode != 0: + _stream_open_failed("TA_STOCHRSI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef STOCHRSI_Stream stream = STOCHRSI_Stream.__new__(STOCHRSI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, STOCHRSI_Value(_stream_like((real,), outfastk), _stream_like((real,), outfastd)) + + @cython.binding(False) + def update(self, double real): + cdef double outfastk + cdef double outfastd + cdef TA_RetCode retCode = TA_STOCHRSI_Update(self._handle, real, &outfastk, &outfastd) + if retCode != 0: + _ta_check_success("TA_STOCHRSI_Update", retCode) + return STOCHRSI_Value(outfastk, outfastd) + + @cython.binding(False) + def peek(self, double real): + cdef double outfastk + cdef double outfastd + cdef TA_RetCode retCode = TA_STOCHRSI_Peek(self._handle, real, &outfastk, &outfastd) + if retCode != 0: + _ta_check_success("TA_STOCHRSI_Peek", retCode) + return STOCHRSI_Value(outfastk, outfastd) + + @property + def value(self): + cdef double outfastk + cdef double outfastd + cdef TA_RetCode retCode = TA_STOCHRSI_Value(self._handle, &outfastk, &outfastd) + if retCode != 0: + _ta_check_success("TA_STOCHRSI_Value", retCode) + return STOCHRSI_Value(outfastk, outfastd) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_STOCHRSI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_STOCHRSI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_STOCHRSI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_STOCHRSI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_STOCHRSI_Clone", retCode) + cdef STOCHRSI_Stream stream = STOCHRSI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class SUB_Stream(Stream): """ SUB(real0, real1) Vector Arithmetic Subtraction (Math Operators) @@ -5928,27 +20206,93 @@ def stream_SUB( np.ndarray real0 not None , np.ndarray real1 not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real0_data - double* real1_data - int outbegidx - int outnbelement - double outreal - real0 = check_array(real0) - real0_data = real0.data - real1 = check_array(real1) - real1_data = real1.data - length = check_length2(real0, real1) - outreal = NaN - retCode = lib.TA_SUB( (length) - 1 , (length) - 1 , real0_data , real1_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_SUB", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_SUM( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_SUB_Close(self._handle) + self._handle = NULL + + def __init__(self, real0, real1): + cdef np.ndarray a_real0 = _stream_input(real0) + cdef np.ndarray a_real1 = _stream_input(real1) + cdef tuple arrays = (a_real0, a_real1,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_SUB_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_SUB_Open(&handle, a_real0.data + begidx, a_real1.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_SUB_Open", retCode, historylen, lib.TA_SUB_Lookback() + 1) + if self._handle is not NULL: + TA_SUB_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real0, real1): + cdef np.ndarray a_real0 = _stream_input(real0) + cdef np.ndarray a_real1 = _stream_input(real1) + cdef tuple arrays = (a_real0, a_real1,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_SUB_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_SUB_Stream* handle = NULL + cdef TA_RetCode retCode = TA_SUB_OpenAndFill(&handle, a_real0.data + begidx, a_real1.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_SUB_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef SUB_Stream stream = SUB_Stream.__new__(SUB_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real0, real1,), outreal) + + @cython.binding(False) + def update(self, double real0, double real1): + cdef double outreal + cdef TA_RetCode retCode = TA_SUB_Update(self._handle, real0, real1, &outreal) + if retCode != 0: + _ta_check_success("TA_SUB_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real0, double real1): + cdef double outreal + cdef TA_RetCode retCode = TA_SUB_Peek(self._handle, real0, real1, &outreal) + if retCode != 0: + _ta_check_success("TA_SUB_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_SUB_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_SUB_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_SUB_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_SUB_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_SUB_Stream* clone = NULL + cdef TA_RetCode retCode = TA_SUB_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_SUB_Clone", retCode) + cdef SUB_Stream stream = SUB_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class SUM_Stream(Stream): """ SUM(real[, timeperiod=?]) Summation (Math Operators) @@ -5960,24 +20304,93 @@ def stream_SUM( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_SUM( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_SUM", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_SUPERTREND( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , int timeperiod=-2**31 , double multiplier=3.0 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_SUM_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_SUM_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_SUM_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_SUM_Open", retCode, historylen, lib.TA_SUM_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_SUM_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_SUM_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_SUM_Stream* handle = NULL + cdef TA_RetCode retCode = TA_SUM_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_SUM_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef SUM_Stream stream = SUM_Stream.__new__(SUM_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_SUM_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_SUM_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_SUM_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_SUM_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_SUM_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_SUM_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_SUM_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_SUM_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_SUM_Stream* clone = NULL + cdef TA_RetCode retCode = TA_SUM_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_SUM_Clone", retCode) + cdef SUM_Stream stream = SUM_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +SUPERTREND_Value = namedtuple("SUPERTREND_Value", "real integer", module=__name__) + +cdef class SUPERTREND_Stream(Stream): """ SUPERTREND(high, low, close[, timeperiod=?, multiplier=?]) SuperTrend (Overlap Studies) @@ -5991,32 +20404,100 @@ def stream_SUPERTREND( np.ndarray high not None , np.ndarray low not None , np.n real integer """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outreal - int outinteger - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outreal = NaN - outinteger = 0 - retCode = lib.TA_SUPERTREND( (length) - 1 , (length) - 1 , high_data , low_data , close_data , timeperiod , multiplier , &outbegidx , &outnbelement , &outreal , &outinteger ) - _ta_check_success("TA_SUPERTREND", retCode) - return outreal , outinteger - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_T3( np.ndarray real not None , int timeperiod=-2**31 , double vfactor=-4e37 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_SUPERTREND_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, int timeperiod=-2**31, double multiplier=3.0): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_SUPERTREND_Stream* handle = NULL + cdef double outreal + cdef int outinteger + cdef TA_RetCode retCode = TA_SUPERTREND_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, multiplier, &outreal, &outinteger) + if retCode != 0: + _stream_open_failed("TA_SUPERTREND_Open", retCode, historylen, lib.TA_SUPERTREND_Lookback(timeperiod, multiplier) + 1) + if self._handle is not NULL: + TA_SUPERTREND_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, int timeperiod=-2**31, double multiplier=3.0): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_SUPERTREND_Lookback(timeperiod, multiplier) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef np.ndarray outinteger = make_int_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_SUPERTREND_Stream* handle = NULL + cdef TA_RetCode retCode = TA_SUPERTREND_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, multiplier, &outbegidx, &outnbelement, outreal.data + lookback, outinteger.data + lookback) + if retCode != 0: + _stream_open_failed("TA_SUPERTREND_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef SUPERTREND_Stream stream = SUPERTREND_Stream.__new__(SUPERTREND_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, SUPERTREND_Value(_stream_like((high, low, close,), outreal), _stream_like((high, low, close,), outinteger)) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outreal + cdef int outinteger + cdef TA_RetCode retCode = TA_SUPERTREND_Update(self._handle, high, low, close, &outreal, &outinteger) + if retCode != 0: + _ta_check_success("TA_SUPERTREND_Update", retCode) + return SUPERTREND_Value(outreal, outinteger) + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outreal + cdef int outinteger + cdef TA_RetCode retCode = TA_SUPERTREND_Peek(self._handle, high, low, close, &outreal, &outinteger) + if retCode != 0: + _ta_check_success("TA_SUPERTREND_Peek", retCode) + return SUPERTREND_Value(outreal, outinteger) + + @property + def value(self): + cdef double outreal + cdef int outinteger + cdef TA_RetCode retCode = TA_SUPERTREND_Value(self._handle, &outreal, &outinteger) + if retCode != 0: + _ta_check_success("TA_SUPERTREND_Value", retCode) + return SUPERTREND_Value(outreal, outinteger) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_SUPERTREND_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_SUPERTREND_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_SUPERTREND_Stream* clone = NULL + cdef TA_RetCode retCode = TA_SUPERTREND_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_SUPERTREND_Clone", retCode) + cdef SUPERTREND_Stream stream = SUPERTREND_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class T3_Stream(Stream): """ T3(real[, timeperiod=?, vfactor=?]) Triple Exponential Moving Average (T3) (Overlap Studies) @@ -6029,24 +20510,91 @@ def stream_T3( np.ndarray real not None , int timeperiod=-2**31 , double vfactor Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_T3( (length) - 1 , (length) - 1 , real_data , timeperiod , vfactor , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_T3", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_TAN( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_T3_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31, double vfactor=-4e37): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_T3_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_T3_Open(&handle, a_real.data + begidx, historylen, timeperiod, vfactor, &outreal) + if retCode != 0: + _stream_open_failed("TA_T3_Open", retCode, historylen, lib.TA_T3_Lookback(timeperiod, vfactor) + 1) + if self._handle is not NULL: + TA_T3_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31, double vfactor=-4e37): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_T3_Lookback(timeperiod, vfactor) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_T3_Stream* handle = NULL + cdef TA_RetCode retCode = TA_T3_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, vfactor, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_T3_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef T3_Stream stream = T3_Stream.__new__(T3_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_T3_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_T3_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_T3_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_T3_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_T3_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_T3_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_T3_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_T3_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_T3_Stream* clone = NULL + cdef TA_RetCode retCode = TA_T3_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_T3_Clone", retCode) + cdef T3_Stream stream = T3_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class TAN_Stream(Stream): """ TAN(real) Vector Trigonometric Tan (Math Transform) @@ -6056,24 +20604,91 @@ def stream_TAN( np.ndarray real not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_TAN( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_TAN", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_TANH( np.ndarray real not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_TAN_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_TAN_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_TAN_Open(&handle, a_real.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_TAN_Open", retCode, historylen, lib.TA_TAN_Lookback() + 1) + if self._handle is not NULL: + TA_TAN_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_TAN_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_TAN_Stream* handle = NULL + cdef TA_RetCode retCode = TA_TAN_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_TAN_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef TAN_Stream stream = TAN_Stream.__new__(TAN_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_TAN_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_TAN_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_TAN_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_TAN_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_TAN_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_TAN_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_TAN_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_TAN_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_TAN_Stream* clone = NULL + cdef TA_RetCode retCode = TA_TAN_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_TAN_Clone", retCode) + cdef TAN_Stream stream = TAN_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class TANH_Stream(Stream): """ TANH(real) Vector Trigonometric Tanh (Math Transform) @@ -6083,24 +20698,91 @@ def stream_TANH( np.ndarray real not None ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_TANH( (length) - 1 , (length) - 1 , real_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_TANH", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_TEMA( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_TANH_Close(self._handle) + self._handle = NULL + + def __init__(self, real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_TANH_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_TANH_Open(&handle, a_real.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_TANH_Open", retCode, historylen, lib.TA_TANH_Lookback() + 1) + if self._handle is not NULL: + TA_TANH_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_TANH_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_TANH_Stream* handle = NULL + cdef TA_RetCode retCode = TA_TANH_OpenAndFill(&handle, a_real.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_TANH_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef TANH_Stream stream = TANH_Stream.__new__(TANH_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_TANH_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_TANH_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_TANH_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_TANH_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_TANH_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_TANH_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_TANH_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_TANH_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_TANH_Stream* clone = NULL + cdef TA_RetCode retCode = TA_TANH_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_TANH_Clone", retCode) + cdef TANH_Stream stream = TANH_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class TEMA_Stream(Stream): """ TEMA(real[, timeperiod=?]) Triple Exponential Moving Average (Overlap Studies) @@ -6112,24 +20794,91 @@ def stream_TEMA( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_TEMA( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_TEMA", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_TRANGE( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_TEMA_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_TEMA_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_TEMA_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_TEMA_Open", retCode, historylen, lib.TA_TEMA_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_TEMA_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_TEMA_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_TEMA_Stream* handle = NULL + cdef TA_RetCode retCode = TA_TEMA_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_TEMA_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef TEMA_Stream stream = TEMA_Stream.__new__(TEMA_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_TEMA_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_TEMA_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_TEMA_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_TEMA_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_TEMA_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_TEMA_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_TEMA_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_TEMA_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_TEMA_Stream* clone = NULL + cdef TA_RetCode retCode = TA_TEMA_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_TEMA_Clone", retCode) + cdef TEMA_Stream stream = TEMA_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class TRANGE_Stream(Stream): """ TRANGE(high, low, close) True Range (Volatility Indicators) @@ -6139,30 +20888,95 @@ def stream_TRANGE( np.ndarray high not None , np.ndarray low not None , np.ndarr Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outreal = NaN - retCode = lib.TA_TRANGE( (length) - 1 , (length) - 1 , high_data , low_data , close_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_TRANGE", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_TRIMA( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_TRANGE_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_TRANGE_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_TRANGE_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_TRANGE_Open", retCode, historylen, lib.TA_TRANGE_Lookback() + 1) + if self._handle is not NULL: + TA_TRANGE_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_TRANGE_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_TRANGE_Stream* handle = NULL + cdef TA_RetCode retCode = TA_TRANGE_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_TRANGE_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef TRANGE_Stream stream = TRANGE_Stream.__new__(TRANGE_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low, close,), outreal) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_TRANGE_Update(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_TRANGE_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_TRANGE_Peek(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_TRANGE_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_TRANGE_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_TRANGE_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_TRANGE_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_TRANGE_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_TRANGE_Stream* clone = NULL + cdef TA_RetCode retCode = TA_TRANGE_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_TRANGE_Clone", retCode) + cdef TRANGE_Stream stream = TRANGE_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class TRIMA_Stream(Stream): """ TRIMA(real[, timeperiod=?]) Triangular Moving Average (Overlap Studies) @@ -6174,24 +20988,91 @@ def stream_TRIMA( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_TRIMA( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_TRIMA", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_TRIX( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_TRIMA_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_TRIMA_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_TRIMA_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_TRIMA_Open", retCode, historylen, lib.TA_TRIMA_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_TRIMA_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_TRIMA_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_TRIMA_Stream* handle = NULL + cdef TA_RetCode retCode = TA_TRIMA_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_TRIMA_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef TRIMA_Stream stream = TRIMA_Stream.__new__(TRIMA_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_TRIMA_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_TRIMA_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_TRIMA_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_TRIMA_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_TRIMA_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_TRIMA_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_TRIMA_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_TRIMA_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_TRIMA_Stream* clone = NULL + cdef TA_RetCode retCode = TA_TRIMA_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_TRIMA_Clone", retCode) + cdef TRIMA_Stream stream = TRIMA_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class TRIX_Stream(Stream): """ TRIX(real[, timeperiod=?]) 1-day Rate-Of-Change (ROC) of a Triple Smooth EMA (Momentum Indicators) @@ -6203,24 +21084,91 @@ def stream_TRIX( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_TRIX( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_TRIX", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_TSF( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_TRIX_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_TRIX_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_TRIX_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_TRIX_Open", retCode, historylen, lib.TA_TRIX_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_TRIX_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_TRIX_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_TRIX_Stream* handle = NULL + cdef TA_RetCode retCode = TA_TRIX_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_TRIX_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef TRIX_Stream stream = TRIX_Stream.__new__(TRIX_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_TRIX_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_TRIX_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_TRIX_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_TRIX_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_TRIX_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_TRIX_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_TRIX_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_TRIX_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_TRIX_Stream* clone = NULL + cdef TA_RetCode retCode = TA_TRIX_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_TRIX_Clone", retCode) + cdef TRIX_Stream stream = TRIX_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class TSF_Stream(Stream): """ TSF(real[, timeperiod=?]) Time Series Forecast (Statistic Functions) @@ -6232,24 +21180,91 @@ def stream_TSF( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_TSF( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_TSF", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_TSI( np.ndarray real not None , int firstperiod=-2**31 , int secondperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_TSF_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_TSF_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_TSF_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_TSF_Open", retCode, historylen, lib.TA_TSF_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_TSF_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_TSF_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_TSF_Stream* handle = NULL + cdef TA_RetCode retCode = TA_TSF_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_TSF_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef TSF_Stream stream = TSF_Stream.__new__(TSF_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_TSF_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_TSF_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_TSF_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_TSF_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_TSF_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_TSF_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_TSF_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_TSF_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_TSF_Stream* clone = NULL + cdef TA_RetCode retCode = TA_TSF_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_TSF_Clone", retCode) + cdef TSF_Stream stream = TSF_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class TSI_Stream(Stream): """ TSI(real[, firstperiod=?, secondperiod=?]) True Strength Index (Momentum Indicators) @@ -6262,24 +21277,91 @@ def stream_TSI( np.ndarray real not None , int firstperiod=-2**31 , int secondpe Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_TSI( (length) - 1 , (length) - 1 , real_data , firstperiod , secondperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_TSI", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_TYPPRICE( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_TSI_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int firstperiod=-2**31, int secondperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_TSI_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_TSI_Open(&handle, a_real.data + begidx, historylen, firstperiod, secondperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_TSI_Open", retCode, historylen, lib.TA_TSI_Lookback(firstperiod, secondperiod) + 1) + if self._handle is not NULL: + TA_TSI_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int firstperiod=-2**31, int secondperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_TSI_Lookback(firstperiod, secondperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_TSI_Stream* handle = NULL + cdef TA_RetCode retCode = TA_TSI_OpenAndFill(&handle, a_real.data + begidx, historylen, firstperiod, secondperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_TSI_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef TSI_Stream stream = TSI_Stream.__new__(TSI_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_TSI_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_TSI_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_TSI_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_TSI_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_TSI_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_TSI_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_TSI_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_TSI_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_TSI_Stream* clone = NULL + cdef TA_RetCode retCode = TA_TSI_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_TSI_Clone", retCode) + cdef TSI_Stream stream = TSI_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class TYPPRICE_Stream(Stream): """ TYPPRICE(high, low, close) Typical Price (Price Transform) @@ -6289,30 +21371,95 @@ def stream_TYPPRICE( np.ndarray high not None , np.ndarray low not None , np.nda Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outreal = NaN - retCode = lib.TA_TYPPRICE( (length) - 1 , (length) - 1 , high_data , low_data , close_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_TYPPRICE", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_ULTOSC( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , int timeperiod1=-2**31 , int timeperiod2=-2**31 , int timeperiod3=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_TYPPRICE_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_TYPPRICE_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_TYPPRICE_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_TYPPRICE_Open", retCode, historylen, lib.TA_TYPPRICE_Lookback() + 1) + if self._handle is not NULL: + TA_TYPPRICE_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_TYPPRICE_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_TYPPRICE_Stream* handle = NULL + cdef TA_RetCode retCode = TA_TYPPRICE_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_TYPPRICE_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef TYPPRICE_Stream stream = TYPPRICE_Stream.__new__(TYPPRICE_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low, close,), outreal) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_TYPPRICE_Update(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_TYPPRICE_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_TYPPRICE_Peek(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_TYPPRICE_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_TYPPRICE_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_TYPPRICE_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_TYPPRICE_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_TYPPRICE_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_TYPPRICE_Stream* clone = NULL + cdef TA_RetCode retCode = TA_TYPPRICE_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_TYPPRICE_Clone", retCode) + cdef TYPPRICE_Stream stream = TYPPRICE_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class ULTOSC_Stream(Stream): """ ULTOSC(high, low, close[, timeperiod1=?, timeperiod2=?, timeperiod3=?]) Ultimate Oscillator (Momentum Indicators) @@ -6326,30 +21473,95 @@ def stream_ULTOSC( np.ndarray high not None , np.ndarray low not None , np.ndarr Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outreal = NaN - retCode = lib.TA_ULTOSC( (length) - 1 , (length) - 1 , high_data , low_data , close_data , timeperiod1 , timeperiod2 , timeperiod3 , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_ULTOSC", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_VAR( np.ndarray real not None , int timeperiod=-2**31 , double nbdev=-4e37 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_ULTOSC_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, int timeperiod1=-2**31, int timeperiod2=-2**31, int timeperiod3=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_ULTOSC_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_ULTOSC_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod1, timeperiod2, timeperiod3, &outreal) + if retCode != 0: + _stream_open_failed("TA_ULTOSC_Open", retCode, historylen, lib.TA_ULTOSC_Lookback(timeperiod1, timeperiod2, timeperiod3) + 1) + if self._handle is not NULL: + TA_ULTOSC_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, int timeperiod1=-2**31, int timeperiod2=-2**31, int timeperiod3=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_ULTOSC_Lookback(timeperiod1, timeperiod2, timeperiod3) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_ULTOSC_Stream* handle = NULL + cdef TA_RetCode retCode = TA_ULTOSC_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod1, timeperiod2, timeperiod3, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_ULTOSC_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef ULTOSC_Stream stream = ULTOSC_Stream.__new__(ULTOSC_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low, close,), outreal) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_ULTOSC_Update(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_ULTOSC_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_ULTOSC_Peek(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_ULTOSC_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_ULTOSC_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_ULTOSC_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_ULTOSC_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_ULTOSC_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_ULTOSC_Stream* clone = NULL + cdef TA_RetCode retCode = TA_ULTOSC_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_ULTOSC_Clone", retCode) + cdef ULTOSC_Stream stream = ULTOSC_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class VAR_Stream(Stream): """ VAR(real[, timeperiod=?, nbdev=?]) Variance (Statistic Functions) @@ -6362,24 +21574,91 @@ def stream_VAR( np.ndarray real not None , int timeperiod=-2**31 , double nbdev= Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_VAR( (length) - 1 , (length) - 1 , real_data , timeperiod , nbdev , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_VAR", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_VHF( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_VAR_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31, double nbdev=-4e37): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_VAR_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_VAR_Open(&handle, a_real.data + begidx, historylen, timeperiod, nbdev, &outreal) + if retCode != 0: + _stream_open_failed("TA_VAR_Open", retCode, historylen, lib.TA_VAR_Lookback(timeperiod, nbdev) + 1) + if self._handle is not NULL: + TA_VAR_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31, double nbdev=-4e37): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_VAR_Lookback(timeperiod, nbdev) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_VAR_Stream* handle = NULL + cdef TA_RetCode retCode = TA_VAR_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, nbdev, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_VAR_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef VAR_Stream stream = VAR_Stream.__new__(VAR_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_VAR_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_VAR_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_VAR_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_VAR_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_VAR_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_VAR_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_VAR_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_VAR_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_VAR_Stream* clone = NULL + cdef TA_RetCode retCode = TA_VAR_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_VAR_Clone", retCode) + cdef VAR_Stream stream = VAR_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class VHF_Stream(Stream): """ VHF(real[, timeperiod=?]) Vertical Horizontal Filter (Momentum Indicators) @@ -6391,24 +21670,93 @@ def stream_VHF( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_VHF( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_VHF", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_VORTEX( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_VHF_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_VHF_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_VHF_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_VHF_Open", retCode, historylen, lib.TA_VHF_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_VHF_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_VHF_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_VHF_Stream* handle = NULL + cdef TA_RetCode retCode = TA_VHF_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_VHF_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef VHF_Stream stream = VHF_Stream.__new__(VHF_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_VHF_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_VHF_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_VHF_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_VHF_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_VHF_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_VHF_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_VHF_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_VHF_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_VHF_Stream* clone = NULL + cdef TA_RetCode retCode = TA_VHF_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_VHF_Clone", retCode) + cdef VHF_Stream stream = VHF_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +VORTEX_Value = namedtuple("VORTEX_Value", "plusvi minusvi", module=__name__) + +cdef class VORTEX_Stream(Stream): """ VORTEX(high, low, close[, timeperiod=?]) Vortex Indicator (Momentum Indicators) @@ -6421,32 +21769,100 @@ def stream_VORTEX( np.ndarray high not None , np.ndarray low not None , np.ndarr plusvi minusvi """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outplusvi - double outminusvi - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outplusvi = NaN - outminusvi = NaN - retCode = lib.TA_VORTEX( (length) - 1 , (length) - 1 , high_data , low_data , close_data , timeperiod , &outbegidx , &outnbelement , &outplusvi , &outminusvi ) - _ta_check_success("TA_VORTEX", retCode) - return outplusvi , outminusvi - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_VWAP( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , np.ndarray volume not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_VORTEX_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_VORTEX_Stream* handle = NULL + cdef double outplusvi + cdef double outminusvi + cdef TA_RetCode retCode = TA_VORTEX_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outplusvi, &outminusvi) + if retCode != 0: + _stream_open_failed("TA_VORTEX_Open", retCode, historylen, lib.TA_VORTEX_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_VORTEX_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_VORTEX_Lookback(timeperiod) + cdef np.ndarray outplusvi = make_double_array(length, lookback) + cdef np.ndarray outminusvi = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_VORTEX_Stream* handle = NULL + cdef TA_RetCode retCode = TA_VORTEX_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outplusvi.data + lookback, outminusvi.data + lookback) + if retCode != 0: + _stream_open_failed("TA_VORTEX_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef VORTEX_Stream stream = VORTEX_Stream.__new__(VORTEX_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, VORTEX_Value(_stream_like((high, low, close,), outplusvi), _stream_like((high, low, close,), outminusvi)) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outplusvi + cdef double outminusvi + cdef TA_RetCode retCode = TA_VORTEX_Update(self._handle, high, low, close, &outplusvi, &outminusvi) + if retCode != 0: + _ta_check_success("TA_VORTEX_Update", retCode) + return VORTEX_Value(outplusvi, outminusvi) + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outplusvi + cdef double outminusvi + cdef TA_RetCode retCode = TA_VORTEX_Peek(self._handle, high, low, close, &outplusvi, &outminusvi) + if retCode != 0: + _ta_check_success("TA_VORTEX_Peek", retCode) + return VORTEX_Value(outplusvi, outminusvi) + + @property + def value(self): + cdef double outplusvi + cdef double outminusvi + cdef TA_RetCode retCode = TA_VORTEX_Value(self._handle, &outplusvi, &outminusvi) + if retCode != 0: + _ta_check_success("TA_VORTEX_Value", retCode) + return VORTEX_Value(outplusvi, outminusvi) + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_VORTEX_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_VORTEX_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_VORTEX_Stream* clone = NULL + cdef TA_RetCode retCode = TA_VORTEX_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_VORTEX_Clone", retCode) + cdef VORTEX_Stream stream = VORTEX_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class VWAP_Stream(Stream): """ VWAP(high, low, close, volume) Volume Weighted Average Price (Volume Indicators) @@ -6456,33 +21872,97 @@ def stream_VWAP( np.ndarray high not None , np.ndarray low not None , np.ndarray Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - double* volume_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - volume = check_array(volume) - volume_data = volume.data - length = check_length4(high, low, close, volume) - outreal = NaN - retCode = lib.TA_VWAP( (length) - 1 , (length) - 1 , high_data , low_data , close_data , volume_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_VWAP", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_VWMA( np.ndarray real not None , np.ndarray volume not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_VWAP_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, volume): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_high, a_low, a_close, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_VWAP_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_VWAP_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, a_volume.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_VWAP_Open", retCode, historylen, lib.TA_VWAP_Lookback() + 1) + if self._handle is not NULL: + TA_VWAP_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, volume): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_high, a_low, a_close, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_VWAP_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_VWAP_Stream* handle = NULL + cdef TA_RetCode retCode = TA_VWAP_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, a_volume.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_VWAP_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef VWAP_Stream stream = VWAP_Stream.__new__(VWAP_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low, close, volume,), outreal) + + @cython.binding(False) + def update(self, double high, double low, double close, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_VWAP_Update(self._handle, high, low, close, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_VWAP_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low, double close, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_VWAP_Peek(self._handle, high, low, close, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_VWAP_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_VWAP_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_VWAP_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_VWAP_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_VWAP_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_VWAP_Stream* clone = NULL + cdef TA_RetCode retCode = TA_VWAP_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_VWAP_Clone", retCode) + cdef VWAP_Stream stream = VWAP_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class VWMA_Stream(Stream): """ VWMA(real, volume[, timeperiod=?]) Volume Weighted Moving Average (Overlap Studies) @@ -6495,27 +21975,93 @@ def stream_VWMA( np.ndarray real not None , np.ndarray volume not None , int tim Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - double* volume_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - volume = check_array(volume) - volume_data = volume.data - length = check_length2(real, volume) - outreal = NaN - retCode = lib.TA_VWMA( (length) - 1 , (length) - 1 , real_data , volume_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_VWMA", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_WAD( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_VWMA_Close(self._handle) + self._handle = NULL + + def __init__(self, real, volume, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_real, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_VWMA_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_VWMA_Open(&handle, a_real.data + begidx, a_volume.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_VWMA_Open", retCode, historylen, lib.TA_VWMA_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_VWMA_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, volume, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef np.ndarray a_volume = _stream_input(volume) + cdef tuple arrays = (a_real, a_volume,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_VWMA_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_VWMA_Stream* handle = NULL + cdef TA_RetCode retCode = TA_VWMA_OpenAndFill(&handle, a_real.data + begidx, a_volume.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_VWMA_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef VWMA_Stream stream = VWMA_Stream.__new__(VWMA_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real, volume,), outreal) + + @cython.binding(False) + def update(self, double real, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_VWMA_Update(self._handle, real, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_VWMA_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real, double volume): + cdef double outreal + cdef TA_RetCode retCode = TA_VWMA_Peek(self._handle, real, volume, &outreal) + if retCode != 0: + _ta_check_success("TA_VWMA_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_VWMA_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_VWMA_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_VWMA_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_VWMA_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_VWMA_Stream* clone = NULL + cdef TA_RetCode retCode = TA_VWMA_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_VWMA_Clone", retCode) + cdef VWMA_Stream stream = VWMA_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class WAD_Stream(Stream): """ WAD(high, low, close) Williams' Accumulation/Distribution (Momentum Indicators) @@ -6525,30 +22071,95 @@ def stream_WAD( np.ndarray high not None , np.ndarray low not None , np.ndarray Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outreal = NaN - retCode = lib.TA_WAD( (length) - 1 , (length) - 1 , high_data , low_data , close_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_WAD", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_WCLPRICE( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_WAD_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_WAD_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_WAD_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_WAD_Open", retCode, historylen, lib.TA_WAD_Lookback() + 1) + if self._handle is not NULL: + TA_WAD_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_WAD_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_WAD_Stream* handle = NULL + cdef TA_RetCode retCode = TA_WAD_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_WAD_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef WAD_Stream stream = WAD_Stream.__new__(WAD_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low, close,), outreal) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_WAD_Update(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_WAD_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_WAD_Peek(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_WAD_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_WAD_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_WAD_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_WAD_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_WAD_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_WAD_Stream* clone = NULL + cdef TA_RetCode retCode = TA_WAD_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_WAD_Clone", retCode) + cdef WAD_Stream stream = WAD_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class WCLPRICE_Stream(Stream): """ WCLPRICE(high, low, close) Weighted Close Price (Price Transform) @@ -6558,30 +22169,95 @@ def stream_WCLPRICE( np.ndarray high not None , np.ndarray low not None , np.nda Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outreal = NaN - retCode = lib.TA_WCLPRICE( (length) - 1 , (length) - 1 , high_data , low_data , close_data , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_WCLPRICE", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_WILLR( np.ndarray high not None , np.ndarray low not None , np.ndarray close not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_WCLPRICE_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_WCLPRICE_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_WCLPRICE_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outreal) + if retCode != 0: + _stream_open_failed("TA_WCLPRICE_Open", retCode, historylen, lib.TA_WCLPRICE_Lookback() + 1) + if self._handle is not NULL: + TA_WCLPRICE_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_WCLPRICE_Lookback() + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_WCLPRICE_Stream* handle = NULL + cdef TA_RetCode retCode = TA_WCLPRICE_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_WCLPRICE_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef WCLPRICE_Stream stream = WCLPRICE_Stream.__new__(WCLPRICE_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low, close,), outreal) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_WCLPRICE_Update(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_WCLPRICE_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_WCLPRICE_Peek(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_WCLPRICE_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_WCLPRICE_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_WCLPRICE_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_WCLPRICE_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_WCLPRICE_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_WCLPRICE_Stream* clone = NULL + cdef TA_RetCode retCode = TA_WCLPRICE_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_WCLPRICE_Clone", retCode) + cdef WCLPRICE_Stream stream = WCLPRICE_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class WILLR_Stream(Stream): """ WILLR(high, low, close[, timeperiod=?]) Williams' %R (Momentum Indicators) @@ -6593,30 +22269,95 @@ def stream_WILLR( np.ndarray high not None , np.ndarray low not None , np.ndarra Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* high_data - double* low_data - double* close_data - int outbegidx - int outnbelement - double outreal - high = check_array(high) - high_data = high.data - low = check_array(low) - low_data = low.data - close = check_array(close) - close_data = close.data - length = check_length3(high, low, close) - outreal = NaN - retCode = lib.TA_WILLR( (length) - 1 , (length) - 1 , high_data , low_data , close_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_WILLR", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_WMA( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_WILLR_Close(self._handle) + self._handle = NULL + + def __init__(self, high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_WILLR_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_WILLR_Open(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_WILLR_Open", retCode, historylen, lib.TA_WILLR_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_WILLR_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(high, low, close, int timeperiod=-2**31): + cdef np.ndarray a_high = _stream_input(high) + cdef np.ndarray a_low = _stream_input(low) + cdef np.ndarray a_close = _stream_input(close) + cdef tuple arrays = (a_high, a_low, a_close,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_WILLR_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_WILLR_Stream* handle = NULL + cdef TA_RetCode retCode = TA_WILLR_OpenAndFill(&handle, a_high.data + begidx, a_low.data + begidx, a_close.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_WILLR_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef WILLR_Stream stream = WILLR_Stream.__new__(WILLR_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((high, low, close,), outreal) + + @cython.binding(False) + def update(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_WILLR_Update(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_WILLR_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double high, double low, double close): + cdef double outreal + cdef TA_RetCode retCode = TA_WILLR_Peek(self._handle, high, low, close, &outreal) + if retCode != 0: + _ta_check_success("TA_WILLR_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_WILLR_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_WILLR_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_WILLR_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_WILLR_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_WILLR_Stream* clone = NULL + cdef TA_RetCode retCode = TA_WILLR_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_WILLR_Clone", retCode) + cdef WILLR_Stream stream = WILLR_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class WMA_Stream(Stream): """ WMA(real[, timeperiod=?]) Weighted Moving Average (Overlap Studies) @@ -6628,24 +22369,91 @@ def stream_WMA( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_WMA( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_WMA", retCode) - return outreal - -@wraparound(False) # turn off relative indexing from end of lists -@boundscheck(False) # turn off bounds-checking for entire function -def stream_ZLEMA( np.ndarray real not None , int timeperiod=-2**31 ): + + def __dealloc__(self): + if self._handle is not NULL: + TA_WMA_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_WMA_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_WMA_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_WMA_Open", retCode, historylen, lib.TA_WMA_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_WMA_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_WMA_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_WMA_Stream* handle = NULL + cdef TA_RetCode retCode = TA_WMA_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_WMA_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef WMA_Stream stream = WMA_Stream.__new__(WMA_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_WMA_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_WMA_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_WMA_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_WMA_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_WMA_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_WMA_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_WMA_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_WMA_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_WMA_Stream* clone = NULL + cdef TA_RetCode retCode = TA_WMA_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_WMA_Clone", retCode) + cdef WMA_Stream stream = WMA_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream + + +cdef class ZLEMA_Stream(Stream): """ ZLEMA(real[, timeperiod=?]) Zero-Lag Exponential Moving Average (Overlap Studies) @@ -6657,18 +22465,86 @@ def stream_ZLEMA( np.ndarray real not None , int timeperiod=-2**31 ): Outputs: real """ - cdef: - np.npy_intp length - TA_RetCode retCode - double* real_data - int outbegidx - int outnbelement - double outreal - real = check_array(real) - real_data = real.data - length = real.shape[0] - outreal = NaN - retCode = lib.TA_ZLEMA( (length) - 1 , (length) - 1 , real_data , timeperiod , &outbegidx , &outnbelement , &outreal ) - _ta_check_success("TA_ZLEMA", retCode) - return outreal + + def __dealloc__(self): + if self._handle is not NULL: + TA_ZLEMA_Close(self._handle) + self._handle = NULL + + def __init__(self, real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef TA_ZLEMA_Stream* handle = NULL + cdef double outreal + cdef TA_RetCode retCode = TA_ZLEMA_Open(&handle, a_real.data + begidx, historylen, timeperiod, &outreal) + if retCode != 0: + _stream_open_failed("TA_ZLEMA_Open", retCode, historylen, lib.TA_ZLEMA_Lookback(timeperiod) + 1) + if self._handle is not NULL: + TA_ZLEMA_Close(self._handle) + self._handle = handle + self._begidx = begidx + + @staticmethod + def open_and_fill(real, int timeperiod=-2**31): + cdef np.ndarray a_real = _stream_input(real) + cdef tuple arrays = (a_real,) + cdef np.npy_intp length = check_length(arrays) + cdef int begidx = check_begidx(length, arrays) + cdef int historylen = _stream_history(length, begidx) + cdef int lookback = begidx + lib.TA_ZLEMA_Lookback(timeperiod) + cdef np.ndarray outreal = make_double_array(length, lookback) + cdef int outbegidx + cdef int outnbelement + cdef TA_ZLEMA_Stream* handle = NULL + cdef TA_RetCode retCode = TA_ZLEMA_OpenAndFill(&handle, a_real.data + begidx, historylen, timeperiod, &outbegidx, &outnbelement, outreal.data + lookback) + if retCode != 0: + _stream_open_failed("TA_ZLEMA_OpenAndFill", retCode, historylen, lookback - begidx + 1) + cdef ZLEMA_Stream stream = ZLEMA_Stream.__new__(ZLEMA_Stream) + stream._handle = handle + stream._begidx = begidx + return stream, _stream_like((real,), outreal) + + @cython.binding(False) + def update(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_ZLEMA_Update(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_ZLEMA_Update", retCode) + return outreal + + @cython.binding(False) + def peek(self, double real): + cdef double outreal + cdef TA_RetCode retCode = TA_ZLEMA_Peek(self._handle, real, &outreal) + if retCode != 0: + _ta_check_success("TA_ZLEMA_Peek", retCode) + return outreal + + @property + def value(self): + cdef double outreal + cdef TA_RetCode retCode = TA_ZLEMA_Value(self._handle, &outreal) + if retCode != 0: + _ta_check_success("TA_ZLEMA_Value", retCode) + return outreal + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_ZLEMA_OutRange(self._handle, outbegidx, outnbelement) + + cdef TA_RetCode _advance(self): + return TA_ZLEMA_Advance(self._handle) + + @cython.binding(False) + def copy(self): + cdef TA_ZLEMA_Stream* clone = NULL + cdef TA_RetCode retCode = TA_ZLEMA_Clone(self._handle, &clone) + if retCode != 0: + _ta_check_success("TA_ZLEMA_Clone", retCode) + cdef ZLEMA_Stream stream = ZLEMA_Stream.__new__(type(self)) + stream._handle = clone + stream._begidx = self._begidx + return stream diff --git a/talib/_ta_lib.c b/talib/_ta_lib.c index 655259d0c..4d3b65426 100644 --- a/talib/_ta_lib.c +++ b/talib/_ta_lib.c @@ -1372,9 +1372,9 @@ static const char* const __pyx_f[] = { "talib/_ta_lib.pyx", "talib/_common.pxi", "talib/_abstract.pxi", + "talib/_stream.pxi", "../.local/lib/python3.12/site-packages/numpy/__init__.cython-30.pxd", "talib/_func.pxi", - "talib/_stream.pxi", "cpython/type.pxd", }; /* #### Code section: utility_code_proto_before_types ### */ @@ -1544,7 +1544,7 @@ static const char* const __pyx_f[] = { #define __Pyx_END_CRITICAL_SECTION Py_END_CRITICAL_SECTION #endif -/* IncludeStructmemberH.proto (used by FixUpExtensionType) */ +/* IncludeStructmemberH.proto */ #include /* #### Code section: numeric_typedefs ### */ @@ -1622,12937 +1622,11881 @@ static CYTHON_INLINE __pyx_t_long_double_complex __pyx_t_long_double_complex_fro /* #### Code section: type_declarations ### */ /*--- Type declarations ---*/ -/* #### Code section: utility_code_proto ### */ +struct __pyx_obj_5talib_7_ta_lib_Stream; +struct __pyx_obj_5talib_7_ta_lib_AC_Stream; +struct __pyx_obj_5talib_7_ta_lib_ACCBANDS_Stream; +struct __pyx_obj_5talib_7_ta_lib_ACOS_Stream; +struct __pyx_obj_5talib_7_ta_lib_AD_Stream; +struct __pyx_obj_5talib_7_ta_lib_ADD_Stream; +struct __pyx_obj_5talib_7_ta_lib_ADOSC_Stream; +struct __pyx_obj_5talib_7_ta_lib_ADR_Stream; +struct __pyx_obj_5talib_7_ta_lib_ADX_Stream; +struct __pyx_obj_5talib_7_ta_lib_ADXR_Stream; +struct __pyx_obj_5talib_7_ta_lib_AO_Stream; +struct __pyx_obj_5talib_7_ta_lib_APO_Stream; +struct __pyx_obj_5talib_7_ta_lib_AROON_Stream; +struct __pyx_obj_5talib_7_ta_lib_AROONOSC_Stream; +struct __pyx_obj_5talib_7_ta_lib_ASIN_Stream; +struct __pyx_obj_5talib_7_ta_lib_ATAN_Stream; +struct __pyx_obj_5talib_7_ta_lib_ATR_Stream; +struct __pyx_obj_5talib_7_ta_lib_AVGDEV_Stream; +struct __pyx_obj_5talib_7_ta_lib_AVGPRICE_Stream; +struct __pyx_obj_5talib_7_ta_lib_BBANDS_Stream; +struct __pyx_obj_5talib_7_ta_lib_BETA_Stream; +struct __pyx_obj_5talib_7_ta_lib_BOP_Stream; +struct __pyx_obj_5talib_7_ta_lib_CCI_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDL2CROWS_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDL3BLACKCROWS_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDL3INSIDE_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDL3LINESTRIKE_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDL3OUTSIDE_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLABANDONEDBABY_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLBELTHOLD_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLBREAKAWAY_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLDOJI_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLDOJISTAR_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLENGULFING_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGSTAR_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLHAMMER_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLHANGINGMAN_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLHARAMI_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLHARAMICROSS_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLHIGHWAVE_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKE_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLINNECK_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLKICKING_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLLONGLINE_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLMARUBOZU_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLMATCHINGLOW_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLMATHOLD_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGSTAR_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLONNECK_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLPIERCING_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLSHORTLINE_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLSPINNINGTOP_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream; +struct __pyx_obj_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream; +struct 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-#define __Pyx_ExceptionReset(type, value, tb) __Pyx__ExceptionReset(__pyx_tstate, type, value, tb) -static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb); -#else -#define __Pyx_ExceptionSave(type, value, tb) PyErr_GetExcInfo(type, value, tb) -#define __Pyx_ExceptionReset(type, value, tb) PyErr_SetExcInfo(type, value, tb) -#endif -/* GetException.proto */ -#if CYTHON_FAST_THREAD_STATE -#define __Pyx_GetException(type, value, tb) __Pyx__GetException(__pyx_tstate, type, value, tb) -static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb); -#else -static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb); -#endif +struct __pyx_obj_5talib_7_ta_lib_ADD_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* PyImportError_Check.proto */ -#define __Pyx_PyExc_ImportError_Check(obj) __Pyx_TypeCheck(obj, PyExc_ImportError) -/* PyObjectCall.proto (used by PyObjectFastCall) */ -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw); -#else -#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw) -#endif +struct __pyx_obj_5talib_7_ta_lib_ADOSC_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* PyObjectCallMethO.proto (used by PyObjectFastCall) */ -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg); -#endif -/* PyObjectFastCall.proto */ -#define __Pyx_PyObject_FastCall(func, args, nargs) __Pyx_PyObject_FastCallDict(func, args, (size_t)(nargs), NULL) -static CYTHON_INLINE PyObject* __Pyx_PyObject_FastCallDict(PyObject *func, PyObject * const*args, size_t nargs, PyObject *kwargs); +struct __pyx_obj_5talib_7_ta_lib_ADR_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* RaiseException.export */ -static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause); -/* PyUnicode_Unicode.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyUnicode_Unicode(PyObject *obj); +struct __pyx_obj_5talib_7_ta_lib_ADX_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* BuildPyUnicode.proto (used by COrdinalToPyUnicode) */ -static PyObject* __Pyx_PyUnicode_BuildFromAscii(Py_ssize_t ulength, const char* chars, int clength, - int prepend_sign, char padding_char); -/* COrdinalToPyUnicode.proto (used by CIntToPyUnicode) */ -static CYTHON_INLINE int __Pyx_CheckUnicodeValue(int value); -static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromOrdinal_Padded(int value, Py_ssize_t width, char padding_char); +struct __pyx_obj_5talib_7_ta_lib_ADXR_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* GCCDiagnostics.proto (used by CIntToPyUnicode) */ -#if !defined(__INTEL_COMPILER) && defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 6)) -#define __Pyx_HAS_GCC_DIAGNOSTIC -#endif -/* IncludeStdlibH.proto (used by CIntToPyUnicode) */ -#include +struct __pyx_obj_5talib_7_ta_lib_AO_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* IncludeStringH.proto (used by CIntToPyUnicode) */ -#include -/* CIntToPyUnicode.proto */ -#define __Pyx_PyUnicode_From_TA_RetCode(value, width, padding_char, format_char) (\ - ((format_char) == ('c')) ?\ - __Pyx_uchar___Pyx_PyUnicode_From_TA_RetCode(value, width, padding_char) :\ - __Pyx____Pyx_PyUnicode_From_TA_RetCode(value, width, padding_char, format_char)\ - ) -static CYTHON_INLINE PyObject* __Pyx_uchar___Pyx_PyUnicode_From_TA_RetCode(TA_RetCode value, Py_ssize_t width, char padding_char); -static CYTHON_INLINE PyObject* __Pyx____Pyx_PyUnicode_From_TA_RetCode(TA_RetCode value, Py_ssize_t width, char padding_char, char format_char); +struct __pyx_obj_5talib_7_ta_lib_APO_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* JoinPyUnicode.export */ -static PyObject* __Pyx_PyUnicode_Join(PyObject** values, Py_ssize_t value_count, Py_ssize_t result_ulength, - Py_UCS4 max_char); -/* TupleAndListFromArray.proto (used by fastcall) */ -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_PyList_FromArray(PyObject *const *src, Py_ssize_t n); -#endif -#if CYTHON_COMPILING_IN_CPYTHON || CYTHON_METH_FASTCALL -static CYTHON_INLINE PyObject* __Pyx_PyTuple_FromArray(PyObject *const *src, Py_ssize_t n); -#endif +struct __pyx_obj_5talib_7_ta_lib_AROON_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* BytesEquals.proto (used by UnicodeEquals) */ -static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals); -/* UnicodeEquals.proto (used by fastcall) */ -static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals); +struct __pyx_obj_5talib_7_ta_lib_AROONOSC_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* fastcall.proto */ -#if CYTHON_AVOID_BORROWED_REFS - #define __Pyx_ArgRef_VARARGS(args, i) __Pyx_PySequence_ITEM(args, i) -#elif CYTHON_ASSUME_SAFE_MACROS - #define __Pyx_ArgRef_VARARGS(args, i) __Pyx_NewRef(__Pyx_PyTuple_GET_ITEM(args, i)) -#else - #define __Pyx_ArgRef_VARARGS(args, i) __Pyx_XNewRef(PyTuple_GetItem(args, i)) -#endif -#define __Pyx_NumKwargs_VARARGS(kwds) PyDict_Size(kwds) -#define __Pyx_KwValues_VARARGS(args, nargs) NULL -#define __Pyx_GetKwValue_VARARGS(kw, kwvalues, s) __Pyx_PyDict_GetItemStrWithError(kw, s) -#define __Pyx_KwargsAsDict_VARARGS(kw, kwvalues) PyDict_Copy(kw) -#if CYTHON_METH_FASTCALL - #define __Pyx_ArgRef_FASTCALL(args, i) __Pyx_NewRef(args[i]) - #define __Pyx_NumKwargs_FASTCALL(kwds) __Pyx_PyTuple_GET_SIZE(kwds) - #define __Pyx_KwValues_FASTCALL(args, nargs) ((args) + (nargs)) - static CYTHON_INLINE PyObject * __Pyx_GetKwValue_FASTCALL(PyObject *kwnames, PyObject *const *kwvalues, PyObject *s); - #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030d0000 || CYTHON_COMPILING_IN_LIMITED_API - CYTHON_UNUSED static PyObject *__Pyx_KwargsAsDict_FASTCALL(PyObject *kwnames, PyObject *const *kwvalues); - #else - #define __Pyx_KwargsAsDict_FASTCALL(kw, kwvalues) _PyStack_AsDict(kwvalues, kw) - #endif -#else - #define __Pyx_ArgRef_FASTCALL __Pyx_ArgRef_VARARGS - #define __Pyx_NumKwargs_FASTCALL __Pyx_NumKwargs_VARARGS - #define __Pyx_KwValues_FASTCALL __Pyx_KwValues_VARARGS - #define __Pyx_GetKwValue_FASTCALL __Pyx_GetKwValue_VARARGS - #define __Pyx_KwargsAsDict_FASTCALL __Pyx_KwargsAsDict_VARARGS -#endif -#define __Pyx_ArgsSlice_VARARGS(args, start, stop) PyTuple_GetSlice(args, start, stop) -#if CYTHON_METH_FASTCALL || (CYTHON_COMPILING_IN_CPYTHON && CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS) -#define __Pyx_ArgsSlice_FASTCALL(args, start, stop) __Pyx_PyTuple_FromArray(args + start, stop - start) -#else -#define __Pyx_ArgsSlice_FASTCALL(args, start, stop) PyTuple_GetSlice(args, start, stop) -#endif -/* py_dict_items.proto (used by OwnedDictNext) */ -static CYTHON_INLINE PyObject* __Pyx_PyDict_Items(PyObject* d); +struct __pyx_obj_5talib_7_ta_lib_ASIN_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* CallCFunction.proto (used by CallUnboundCMethod0) */ -#define __Pyx_CallCFunction(cfunc, self, args)\ - ((PyCFunction)(void(*)(void))(cfunc)->func)(self, args) -#define __Pyx_CallCFunctionWithKeywords(cfunc, self, args, kwargs)\ - ((PyCFunctionWithKeywords)(void(*)(void))(cfunc)->func)(self, args, kwargs) -#define __Pyx_CallCFunctionFast(cfunc, self, args, nargs)\ - ((__Pyx_PyCFunctionFast)(void(*)(void))(PyCFunction)(cfunc)->func)(self, args, nargs) -#define __Pyx_CallCFunctionFastWithKeywords(cfunc, self, args, nargs, kwnames)\ - ((__Pyx_PyCFunctionFastWithKeywords)(void(*)(void))(PyCFunction)(cfunc)->func)(self, args, nargs, kwnames) -/* PyObjectCallOneArg.proto (used by CallUnboundCMethod0) */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg); +struct __pyx_obj_5talib_7_ta_lib_ATAN_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* UnpackUnboundCMethod.proto (used by CallUnboundCMethod0) */ -typedef struct { - PyObject *type; - PyObject **method_name; -#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING && CYTHON_ATOMICS - __pyx_atomic_int_type initialized; -#endif - PyCFunction func; - PyObject *method; - int flag; -} __Pyx_CachedCFunction; -#if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING -static CYTHON_INLINE int __Pyx_CachedCFunction_GetAndSetInitializing(__Pyx_CachedCFunction *cfunc) { -#if !CYTHON_ATOMICS - return 1; -#else - __pyx_nonatomic_int_type expected = 0; - if (__pyx_atomic_int_cmp_exchange(&cfunc->initialized, &expected, 1)) { - return 0; - } - return expected; -#endif -} -static CYTHON_INLINE void __Pyx_CachedCFunction_SetFinishedInitializing(__Pyx_CachedCFunction *cfunc) { -#if CYTHON_ATOMICS - __pyx_atomic_store(&cfunc->initialized, 2); -#endif -} -#else -#define __Pyx_CachedCFunction_GetAndSetInitializing(cfunc) 2 -#define __Pyx_CachedCFunction_SetFinishedInitializing(cfunc) -#endif -/* CallUnboundCMethod0.proto */ -CYTHON_UNUSED -static PyObject* __Pyx__CallUnboundCMethod0(__Pyx_CachedCFunction* cfunc, PyObject* self); -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_CallUnboundCMethod0(__Pyx_CachedCFunction* cfunc, PyObject* self); -#else -#define __Pyx_CallUnboundCMethod0(cfunc, self) __Pyx__CallUnboundCMethod0(cfunc, self) -#endif +struct __pyx_obj_5talib_7_ta_lib_ATR_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* py_dict_values.proto (used by OwnedDictNext) */ -static CYTHON_INLINE PyObject* __Pyx_PyDict_Values(PyObject* d); -/* OwnedDictNext.proto (used by ParseKeywordsImpl) */ -#if CYTHON_AVOID_BORROWED_REFS -static int __Pyx_PyDict_NextRef(PyObject *p, PyObject **ppos, PyObject **pkey, PyObject **pvalue); -#else -CYTHON_INLINE -static int __Pyx_PyDict_NextRef(PyObject *p, Py_ssize_t *ppos, PyObject **pkey, PyObject **pvalue); -#endif +struct __pyx_obj_5talib_7_ta_lib_AVGDEV_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* RaiseDoubleKeywords.proto (used by ParseKeywordsImpl) */ -static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name); -/* ParseKeywordsImpl.export */ -static int __Pyx_ParseKeywordsTuple( - PyObject *kwds, - PyObject * const *kwvalues, - PyObject ** const argnames[], - PyObject *kwds2, - PyObject *values[], - Py_ssize_t num_pos_args, - Py_ssize_t num_kwargs, - const char* function_name, - int ignore_unknown_kwargs -); -static int __Pyx_ParseKeywordDictToDict( - PyObject *kwds, - PyObject ** const argnames[], - PyObject *kwds2, - PyObject *values[], - Py_ssize_t num_pos_args, - const char* function_name -); -static int __Pyx_ParseKeywordDict( - PyObject *kwds, - PyObject ** const argnames[], - PyObject *values[], - Py_ssize_t num_pos_args, - Py_ssize_t num_kwargs, - const char* function_name, - int ignore_unknown_kwargs -); +struct __pyx_obj_5talib_7_ta_lib_AVGPRICE_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* CallUnboundCMethod2.proto */ -CYTHON_UNUSED -static PyObject* __Pyx__CallUnboundCMethod2(__Pyx_CachedCFunction* cfunc, PyObject* self, PyObject* arg1, PyObject* arg2); -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject *__Pyx_CallUnboundCMethod2(__Pyx_CachedCFunction *cfunc, PyObject *self, PyObject *arg1, PyObject *arg2); -#else -#define __Pyx_CallUnboundCMethod2(cfunc, self, arg1, arg2) __Pyx__CallUnboundCMethod2(cfunc, self, arg1, arg2) -#endif -/* ParseKeywords.proto */ -static CYTHON_INLINE int __Pyx_ParseKeywords( - PyObject *kwds, PyObject *const *kwvalues, PyObject ** const argnames[], - PyObject *kwds2, PyObject *values[], - Py_ssize_t num_pos_args, Py_ssize_t num_kwargs, - const char* function_name, - int ignore_unknown_kwargs -); +struct __pyx_obj_5talib_7_ta_lib_BBANDS_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* RaiseArgTupleInvalid.proto */ -static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact, - Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found); -/* ArgTypeTestFunc.export */ -static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact); +struct __pyx_obj_5talib_7_ta_lib_BETA_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* ArgTypeTest.proto */ -#define __Pyx_ArgTypeTest(obj, type, none_allowed, name, exact)\ - ((likely(__Pyx_IS_TYPE(obj, type) | (none_allowed && (obj == Py_None)))) ? 1 :\ - __Pyx__ArgTypeTest(obj, type, name, exact)) -/* PyDictVersioning.proto (used by GetModuleGlobalName) */ -#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS -#define __PYX_DICT_VERSION_INIT ((PY_UINT64_T) -1) -#define __PYX_GET_DICT_VERSION(dict) (((PyDictObject*)(dict))->ma_version_tag) -#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\ - (version_var) = __PYX_GET_DICT_VERSION(dict);\ - (cache_var) = (value); -#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) {\ - static PY_UINT64_T __pyx_dict_version = 0;\ - static PyObject *__pyx_dict_cached_value = NULL;\ - if (likely(__PYX_GET_DICT_VERSION(DICT) == __pyx_dict_version)) {\ - (VAR) = __Pyx_XNewRef(__pyx_dict_cached_value);\ - } else {\ - (VAR) = __pyx_dict_cached_value = (LOOKUP);\ - __pyx_dict_version = __PYX_GET_DICT_VERSION(DICT);\ - }\ -} -static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj); -static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj); -static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version); -#else -#define __PYX_GET_DICT_VERSION(dict) (0) -#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var) -#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) (VAR) = (LOOKUP); -#endif +struct __pyx_obj_5talib_7_ta_lib_BOP_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* GetModuleGlobalName.proto */ -#if CYTHON_USE_DICT_VERSIONS -#define __Pyx_GetModuleGlobalName(var, name) do {\ - static PY_UINT64_T __pyx_dict_version = 0;\ - static PyObject *__pyx_dict_cached_value = NULL;\ - (var) = (likely(__pyx_dict_version == __PYX_GET_DICT_VERSION(__pyx_mstate_global->__pyx_d))) ?\ - (likely(__pyx_dict_cached_value) ? __Pyx_NewRef(__pyx_dict_cached_value) : __Pyx_GetBuiltinName(name)) :\ - __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ -} while(0) -#define __Pyx_GetModuleGlobalNameUncached(var, name) do {\ - PY_UINT64_T __pyx_dict_version;\ - PyObject *__pyx_dict_cached_value;\ - (var) = __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\ -} while(0) -static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value); -#else -#define __Pyx_GetModuleGlobalName(var, name) (var) = __Pyx__GetModuleGlobalName(name) -#define __Pyx_GetModuleGlobalNameUncached(var, name) (var) = __Pyx__GetModuleGlobalName(name) -static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name); -#endif -/* PyObjectDelAttr.proto (used by PyObjectSetAttrStr) */ -#if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030d0000 -#define __Pyx_PyObject_DelAttr(o, n) PyObject_SetAttr(o, n, NULL) -#else -#define __Pyx_PyObject_DelAttr(o, n) PyObject_DelAttr(o, n) -#endif +struct __pyx_obj_5talib_7_ta_lib_CCI_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* PyObjectSetAttrStr.proto */ -#if CYTHON_USE_TYPE_SLOTS -#define __Pyx_PyObject_DelAttrStr(o,n) __Pyx_PyObject_SetAttrStr(o, n, NULL) -static CYTHON_INLINE int __Pyx_PyObject_SetAttrStr(PyObject* obj, PyObject* attr_name, PyObject* value); -#else -#define __Pyx_PyObject_DelAttrStr(o,n) __Pyx_PyObject_DelAttr(o,n) -#define __Pyx_PyObject_SetAttrStr(o,n,v) PyObject_SetAttr(o,n,v) -#endif -/* GetItemInt.proto */ -#define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck, has_gil, unsafe_shared)\ - (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ - __Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck, unsafe_shared) :\ - (is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\ - __Pyx_GetItemInt_Generic(o, to_py_func(i)))) -#define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck, has_gil, unsafe_shared)\ - (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ - __Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck, unsafe_shared) :\ - (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL)) -static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i, - int wraparound, int boundscheck, int unsafe_shared); -#define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck, has_gil, unsafe_shared)\ - (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ - __Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck, unsafe_shared) :\ - (PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL)) -static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i, - int wraparound, int boundscheck, int unsafe_shared); -static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j); -static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, - int is_list, int wraparound, int boundscheck, int unsafe_shared); +struct __pyx_obj_5talib_7_ta_lib_CDL2CROWS_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* ObjectGetItem.proto */ -#if CYTHON_USE_TYPE_SLOTS -static CYTHON_INLINE PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject *key); -#else -#define __Pyx_PyObject_GetItem(obj, key) PyObject_GetItem(obj, key) -#endif -/* PySequenceContains.proto */ -static CYTHON_INLINE int __Pyx_PySequence_ContainsTF(PyObject* item, PyObject* seq, int eq) { - int result = PySequence_Contains(seq, item); - return unlikely(result < 0) ? result : (result == (eq == Py_EQ)); -} +struct __pyx_obj_5talib_7_ta_lib_CDL3BLACKCROWS_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* PyObjectFormatAndDecref.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_FormatSimpleAndDecref(PyObject* s, PyObject* f); -static CYTHON_INLINE PyObject* __Pyx_PyObject_FormatAndDecref(PyObject* s, PyObject* f); -/* PyDeprecationWarning_Check.proto */ -#define __Pyx_PyExc_DeprecationWarning_Check(obj) __Pyx_TypeCheck(obj, PyExc_DeprecationWarning) +struct __pyx_obj_5talib_7_ta_lib_CDL3INSIDE_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* PyObjectVectorCallKwBuilder.proto */ -CYTHON_UNUSED static int __Pyx_VectorcallBuilder_AddArg_Check(PyObject *key, PyObject *value, PyObject *builder, PyObject **args, int n); -#if CYTHON_VECTORCALL -#if PY_VERSION_HEX >= 0x03090000 -#define __Pyx_Object_Vectorcall_CallFromBuilder PyObject_Vectorcall -#else -#define __Pyx_Object_Vectorcall_CallFromBuilder _PyObject_Vectorcall -#endif -#define __Pyx_MakeVectorcallBuilderKwds(n) PyTuple_New(n) -static int __Pyx_VectorcallBuilder_AddArg(PyObject *key, PyObject *value, PyObject *builder, PyObject **args, int n); -static int __Pyx_VectorcallBuilder_AddArgStr(const char *key, PyObject *value, PyObject *builder, PyObject **args, int n); -#else -#define __Pyx_Object_Vectorcall_CallFromBuilder __Pyx_PyObject_FastCallDict -#define __Pyx_MakeVectorcallBuilderKwds(n) __Pyx_PyDict_NewPresized(n) -#define __Pyx_VectorcallBuilder_AddArg(key, value, builder, args, n) PyDict_SetItem(builder, key, value) -#define __Pyx_VectorcallBuilder_AddArgStr(key, value, builder, args, n) PyDict_SetItemString(builder, key, value) -#endif -/* PyObjectFastCallMethod.proto */ -#if CYTHON_VECTORCALL && PY_VERSION_HEX >= 0x03090000 -#define __Pyx_PyObject_FastCallMethod(name, args, nargsf) PyObject_VectorcallMethod(name, args, nargsf, NULL) -#else -static PyObject *__Pyx_PyObject_FastCallMethod(PyObject *name, PyObject *const *args, size_t nargsf); -#endif +struct __pyx_obj_5talib_7_ta_lib_CDL3LINESTRIKE_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* HasAttr.proto */ -#if __PYX_LIMITED_VERSION_HEX >= 0x030d0000 -#define __Pyx_HasAttr(o, n) PyObject_HasAttrWithError(o, n) -#else -static CYTHON_INLINE int __Pyx_HasAttr(PyObject *, PyObject *); -#endif -/* PyRange_Check.proto */ -#if CYTHON_COMPILING_IN_PYPY && !defined(PyRange_Check) - #define PyRange_Check(obj) __Pyx_TypeCheck((obj), &PyRange_Type) -#endif +struct __pyx_obj_5talib_7_ta_lib_CDL3OUTSIDE_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* DictGetItem.proto */ -#if !CYTHON_COMPILING_IN_PYPY -static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key); -#define __Pyx_PyObject_Dict_GetItem(obj, name)\ - (likely(PyDict_CheckExact(obj)) ?\ - __Pyx_PyDict_GetItem(obj, name) : PyObject_GetItem(obj, name)) -#else -#define __Pyx_PyDict_GetItem(d, key) PyObject_GetItem(d, key) -#define __Pyx_PyObject_Dict_GetItem(obj, name) PyObject_GetItem(obj, name) -#endif -/* RaiseTooManyValuesToUnpack.proto */ -static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected); +struct __pyx_obj_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* RaiseNeedMoreValuesToUnpack.proto */ -static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index); -/* IterFinish.proto */ -static CYTHON_INLINE int __Pyx_IterFinish(void); +struct __pyx_obj_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* UnpackItemEndCheck.proto */ -static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected); -/* ListAppend.proto */ -#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS -static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) { - PyListObject* L = (PyListObject*) list; - Py_ssize_t len = Py_SIZE(list); - if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) { - Py_INCREF(x); - #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030d0000 - L->ob_item[len] = x; - #else - PyList_SET_ITEM(list, len, x); - #endif - __Pyx_SET_SIZE(list, len + 1); - return 0; - } - return PyList_Append(list, x); -} -#else -#define __Pyx_PyList_Append(L,x) PyList_Append(L,x) -#endif +struct __pyx_obj_5talib_7_ta_lib_CDLABANDONEDBABY_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* PyObjectCallNoArg.proto (used by PyObjectCallMethod0) */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func); -/* PyObjectGetMethod.proto (used by PyObjectCallMethod0) */ -#if !(CYTHON_VECTORCALL && (__PYX_LIMITED_VERSION_HEX >= 0x030C0000 || (!CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x03090000))) -static int __Pyx_PyObject_GetMethod(PyObject *obj, PyObject *name, PyObject **method); -#endif +struct __pyx_obj_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* PyObjectCallMethod0.proto (used by dict_iter) */ -static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name); -/* RaiseNoneIterError.proto (used by UnpackTupleError) */ -static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void); +struct __pyx_obj_5talib_7_ta_lib_CDLBELTHOLD_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* UnpackTupleError.proto (used by UnpackTuple2) */ -static void __Pyx_UnpackTupleError(PyObject *, Py_ssize_t index); -/* UnpackTuple2.proto (used by dict_iter) */ -static CYTHON_INLINE int __Pyx_unpack_tuple2( - PyObject* tuple, PyObject** value1, PyObject** value2, int is_tuple, int has_known_size, int decref_tuple); -static CYTHON_INLINE int __Pyx_unpack_tuple2_exact( - PyObject* tuple, PyObject** value1, PyObject** value2, int decref_tuple); -static int __Pyx_unpack_tuple2_generic( - PyObject* tuple, PyObject** value1, PyObject** value2, int has_known_size, int decref_tuple); +struct __pyx_obj_5talib_7_ta_lib_CDLBREAKAWAY_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* dict_iter.proto */ -static CYTHON_INLINE PyObject* __Pyx_dict_iterator(PyObject* dict, int is_dict, PyObject* method_name, - Py_ssize_t* p_orig_length, int* p_is_dict); -static CYTHON_INLINE int __Pyx_dict_iter_next(PyObject* dict_or_iter, Py_ssize_t orig_length, Py_ssize_t* ppos, - PyObject** pkey, PyObject** pvalue, PyObject** pitem, int is_dict); -/* PyLongBinop.proto */ -#if !CYTHON_COMPILING_IN_PYPY -static CYTHON_INLINE PyObject* __Pyx_PyLong_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check); -#else -#define __Pyx_PyLong_AddObjC(op1, op2, intval, inplace, zerodivision_check)\ - (inplace ? PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2)) -#endif +struct __pyx_obj_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* ListCompAppend.proto */ -#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS -static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) { - PyListObject* L = (PyListObject*) list; - Py_ssize_t len = Py_SIZE(list); - if (likely(L->allocated > len)) { - Py_INCREF(x); - #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030d0000 - L->ob_item[len] = x; - #else - PyList_SET_ITEM(list, len, x); - #endif - __Pyx_SET_SIZE(list, len + 1); - return 0; - } - return PyList_Append(list, x); -} -#else -#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x) -#endif -/* PyIndexError_Check.proto */ -#define __Pyx_PyExc_IndexError_Check(obj) __Pyx_TypeCheck(obj, PyExc_IndexError) +struct __pyx_obj_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* CIntToPyUnicode.proto */ -#define __Pyx_PyUnicode_From_Py_ssize_t(value, width, padding_char, format_char) (\ - ((format_char) == ('c')) ?\ - __Pyx_uchar___Pyx_PyUnicode_From_Py_ssize_t(value, width, padding_char) :\ - __Pyx____Pyx_PyUnicode_From_Py_ssize_t(value, width, padding_char, format_char)\ - ) -static CYTHON_INLINE PyObject* __Pyx_uchar___Pyx_PyUnicode_From_Py_ssize_t(Py_ssize_t value, Py_ssize_t width, char padding_char); -static CYTHON_INLINE PyObject* __Pyx____Pyx_PyUnicode_From_Py_ssize_t(Py_ssize_t value, Py_ssize_t width, char padding_char, char format_char); -/* PyTypeError_Check.proto */ -#define __Pyx_PyExc_TypeError_Check(obj) __Pyx_TypeCheck(obj, PyExc_TypeError) +struct __pyx_obj_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* SliceTupleAndList.proto */ -#if CYTHON_COMPILING_IN_CPYTHON -static CYTHON_INLINE PyObject* __Pyx_PyList_GetSlice(PyObject* src, Py_ssize_t start, Py_ssize_t stop); -static CYTHON_INLINE PyObject* __Pyx_PyTuple_GetSlice(PyObject* src, Py_ssize_t start, Py_ssize_t stop); -#else -#define __Pyx_PyList_GetSlice(seq, start, stop) PySequence_GetSlice(seq, start, stop) -#define __Pyx_PyTuple_GetSlice(seq, start, stop) PySequence_GetSlice(seq, start, stop) -#endif -/* PyObject_Unicode.proto */ -#define __Pyx_PyObject_Unicode(obj)\ - (likely(PyUnicode_CheckExact(obj)) ? __Pyx_NewRef(obj) : PyObject_Str(obj)) +struct __pyx_obj_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* SliceObject.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_GetSlice( - PyObject* obj, Py_ssize_t cstart, Py_ssize_t cstop, - PyObject** py_start, PyObject** py_stop, PyObject** py_slice, - int has_cstart, int has_cstop, int wraparound); -/* SetItemInt.proto */ -#define __Pyx_SetItemInt(o, i, v, type, is_signed, to_py_func, is_list, wraparound, boundscheck, has_gil, unsafe_shared)\ - (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\ - __Pyx_SetItemInt_Fast(o, (Py_ssize_t)i, v, is_list, wraparound, boundscheck, unsafe_shared) :\ - (is_list ? (PyErr_SetString(PyExc_IndexError, "list assignment index out of range"), -1) :\ - __Pyx_SetItemInt_Generic(o, to_py_func(i), v))) -static int __Pyx_SetItemInt_Generic(PyObject *o, PyObject *j, PyObject *v); -static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObject *v, - int is_list, int wraparound, int boundscheck, int unsafe_shared); +struct __pyx_obj_5talib_7_ta_lib_CDLDOJI_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* TypeImport.proto */ -#ifndef __PYX_HAVE_RT_ImportType_proto_3_2_8 -#define __PYX_HAVE_RT_ImportType_proto_3_2_8 -#if defined (__STDC_VERSION__) && __STDC_VERSION__ >= 201112L -#include -#endif -#if (defined (__STDC_VERSION__) && __STDC_VERSION__ >= 201112L) || __cplusplus >= 201103L -#define __PYX_GET_STRUCT_ALIGNMENT_3_2_8(s) alignof(s) -#else -#define __PYX_GET_STRUCT_ALIGNMENT_3_2_8(s) sizeof(void*) -#endif -enum __Pyx_ImportType_CheckSize_3_2_8 { - __Pyx_ImportType_CheckSize_Error_3_2_8 = 0, - __Pyx_ImportType_CheckSize_Warn_3_2_8 = 1, - __Pyx_ImportType_CheckSize_Ignore_3_2_8 = 2 + +struct __pyx_obj_5talib_7_ta_lib_CDLDOJISTAR_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; }; -static PyTypeObject *__Pyx_ImportType_3_2_8(PyObject* module, const char *module_name, const char *class_name, size_t size, size_t alignment, enum __Pyx_ImportType_CheckSize_3_2_8 check_size); -#endif -/* ImportImpl.export */ -static PyObject *__Pyx__Import(PyObject *name, PyObject *const *imported_names, Py_ssize_t len_imported_names, PyObject *qualname, PyObject *moddict, int level); -/* Import.proto */ -static CYTHON_INLINE PyObject *__Pyx_Import(PyObject *name, PyObject *const *imported_names, Py_ssize_t len_imported_names, PyObject *qualname, int level); +struct __pyx_obj_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* dict_setdefault.proto (used by FetchCommonType) */ -static CYTHON_INLINE PyObject *__Pyx_PyDict_SetDefault(PyObject *d, PyObject *key, PyObject *default_value); -/* LimitedApiGetTypeDict.proto (used by SetItemOnTypeDict) */ -#if CYTHON_COMPILING_IN_LIMITED_API -static PyObject *__Pyx_GetTypeDict(PyTypeObject *tp); -#endif +struct __pyx_obj_5talib_7_ta_lib_CDLENGULFING_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* SetItemOnTypeDict.proto (used by FixUpExtensionType) */ -static int __Pyx__SetItemOnTypeDict(PyTypeObject *tp, PyObject *k, PyObject *v); -#define __Pyx_SetItemOnTypeDict(tp, k, v) __Pyx__SetItemOnTypeDict((PyTypeObject*)tp, k, v) -/* FixUpExtensionType.proto (used by FetchCommonType) */ -static CYTHON_INLINE int __Pyx_fix_up_extension_type_from_spec(PyType_Spec *spec, PyTypeObject *type); +struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* AddModuleRef.proto (used by FetchSharedCythonModule) */ -#if ((CYTHON_COMPILING_IN_CPYTHON_FREETHREADING ) ||\ - __PYX_LIMITED_VERSION_HEX < 0x030d0000) - static PyObject *__Pyx_PyImport_AddModuleRef(const char *name); -#else - #define __Pyx_PyImport_AddModuleRef(name) PyImport_AddModuleRef(name) -#endif -/* FetchSharedCythonModule.proto (used by FetchCommonType) */ -static PyObject *__Pyx_FetchSharedCythonABIModule(void); +struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGSTAR_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* FetchCommonType.proto (used by CommonTypesMetaclass) */ -static PyTypeObject* __Pyx_FetchCommonTypeFromSpec(PyTypeObject *metaclass, PyObject *module, PyType_Spec *spec, PyObject *bases); -/* CommonTypesMetaclass.proto (used by CythonFunctionShared) */ -static int __pyx_CommonTypesMetaclass_init(PyObject *module); -#define __Pyx_CommonTypesMetaclass_USED +struct __pyx_obj_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* CallTypeTraverse.proto (used by CythonFunctionShared) */ -#if !CYTHON_USE_TYPE_SPECS || (!CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x03090000) -#define __Pyx_call_type_traverse(o, always_call, visit, arg) 0 -#else -static int __Pyx_call_type_traverse(PyObject *o, int always_call, visitproc visit, void *arg); -#endif -/* PyMethodNew.proto (used by CythonFunctionShared) */ -static PyObject *__Pyx_PyMethod_New(PyObject *func, PyObject *self, PyObject *typ); +struct __pyx_obj_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* PyVectorcallFastCallDict.proto (used by CythonFunctionShared) */ -#if CYTHON_METH_FASTCALL && CYTHON_VECTORCALL -static CYTHON_INLINE PyObject *__Pyx_PyVectorcall_FastCallDict(PyObject *func, __pyx_vectorcallfunc vc, PyObject *const *args, size_t nargs, PyObject *kw); -#endif -/* CythonFunctionShared.proto (used by CythonFunction) */ -#define __Pyx_CyFunction_USED -#define __Pyx_CYFUNCTION_STATICMETHOD 0x01 -#define __Pyx_CYFUNCTION_CLASSMETHOD 0x02 -#define __Pyx_CYFUNCTION_CCLASS 0x04 -#define __Pyx_CYFUNCTION_COROUTINE 0x08 -#define __Pyx_CyFunction_GetClosure(f)\ - (((__pyx_CyFunctionObject *) (f))->func_closure) -#if PY_VERSION_HEX < 0x030900B1 || CYTHON_COMPILING_IN_LIMITED_API - #define __Pyx_CyFunction_GetClassObj(f)\ - (((__pyx_CyFunctionObject *) (f))->func_classobj) -#else - #define __Pyx_CyFunction_GetClassObj(f)\ - ((PyObject*) ((PyCMethodObject *) (f))->mm_class) -#endif -#define __Pyx_CyFunction_SetClassObj(f, classobj)\ - __Pyx__CyFunction_SetClassObj((__pyx_CyFunctionObject *) (f), (classobj)) -#define __Pyx_CyFunction_Defaults(type, f)\ - ((type *)(((__pyx_CyFunctionObject *) (f))->defaults)) -#define __Pyx_CyFunction_SetDefaultsGetter(f, g)\ - ((__pyx_CyFunctionObject *) (f))->defaults_getter = (g) -typedef struct { -#if CYTHON_COMPILING_IN_LIMITED_API - PyObject_HEAD - PyObject *func; -#elif PY_VERSION_HEX < 0x030900B1 - PyCFunctionObject func; -#else - PyCMethodObject func; -#endif -#if CYTHON_COMPILING_IN_LIMITED_API && CYTHON_METH_FASTCALL - __pyx_vectorcallfunc func_vectorcall; -#endif -#if CYTHON_COMPILING_IN_LIMITED_API - PyObject *func_weakreflist; -#endif -#if PY_VERSION_HEX < 0x030C0000 || CYTHON_COMPILING_IN_LIMITED_API - PyObject *func_dict; -#endif - PyObject *func_name; - PyObject *func_qualname; - PyObject *func_doc; - PyObject *func_globals; - PyObject *func_code; - PyObject *func_closure; -#if PY_VERSION_HEX < 0x030900B1 || CYTHON_COMPILING_IN_LIMITED_API - PyObject *func_classobj; -#endif - PyObject *defaults; - int flags; - PyObject *defaults_tuple; - PyObject *defaults_kwdict; - PyObject *(*defaults_getter)(PyObject *); - PyObject *func_annotations; - PyObject *func_is_coroutine; -} __pyx_CyFunctionObject; -#undef __Pyx_CyOrPyCFunction_Check -#define __Pyx_CyFunction_Check(obj) __Pyx_TypeCheck(obj, __pyx_mstate_global->__pyx_CyFunctionType) -#define __Pyx_CyOrPyCFunction_Check(obj) __Pyx_TypeCheck2(obj, __pyx_mstate_global->__pyx_CyFunctionType, &PyCFunction_Type) -#define __Pyx_CyFunction_CheckExact(obj) __Pyx_IS_TYPE(obj, __pyx_mstate_global->__pyx_CyFunctionType) -static CYTHON_INLINE int __Pyx__IsSameCyOrCFunction(PyObject *func, void (*cfunc)(void)); -#undef __Pyx_IsSameCFunction -#define __Pyx_IsSameCFunction(func, cfunc) __Pyx__IsSameCyOrCFunction(func, cfunc) -static PyObject *__Pyx_CyFunction_Init(__pyx_CyFunctionObject* op, PyMethodDef *ml, - int flags, PyObject* qualname, - PyObject *closure, - PyObject *module, PyObject *globals, - PyObject* code); -static CYTHON_INLINE void __Pyx__CyFunction_SetClassObj(__pyx_CyFunctionObject* f, PyObject* classobj); -static CYTHON_INLINE PyObject *__Pyx_CyFunction_InitDefaults(PyObject *func, - PyTypeObject *defaults_type); -static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *m, - PyObject *tuple); -static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *m, - PyObject *dict); -static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *m, - PyObject *dict); -static int __pyx_CyFunction_init(PyObject *module); -#if CYTHON_METH_FASTCALL -static PyObject * __Pyx_CyFunction_Vectorcall_NOARGS(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames); -static PyObject * __Pyx_CyFunction_Vectorcall_O(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames); -static PyObject * __Pyx_CyFunction_Vectorcall_FASTCALL_KEYWORDS(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames); -static PyObject * __Pyx_CyFunction_Vectorcall_FASTCALL_KEYWORDS_METHOD(PyObject *func, PyObject *const *args, size_t nargsf, PyObject *kwnames); -#if CYTHON_COMPILING_IN_LIMITED_API -#define __Pyx_CyFunction_func_vectorcall(f) (((__pyx_CyFunctionObject*)f)->func_vectorcall) -#else -#define __Pyx_CyFunction_func_vectorcall(f) (((PyCFunctionObject*)f)->vectorcall) -#endif -#endif +struct __pyx_obj_5talib_7_ta_lib_CDLHAMMER_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* CythonFunction.proto */ -static PyObject *__Pyx_CyFunction_New(PyMethodDef *ml, - int flags, PyObject* qualname, - PyObject *closure, - PyObject *module, PyObject *globals, - PyObject* code); -/* Py3UpdateBases.proto */ -static PyObject* __Pyx_PEP560_update_bases(PyObject *bases); +struct __pyx_obj_5talib_7_ta_lib_CDLHANGINGMAN_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* CalculateMetaclass.proto */ -static PyObject *__Pyx_CalculateMetaclass(PyTypeObject *metaclass, PyObject *bases); -/* SetNameInClass.proto */ -#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030d0000 -#define __Pyx_SetNameInClass(ns, name, value)\ - (likely(PyDict_CheckExact(ns)) ? _PyDict_SetItem_KnownHash(ns, name, value, ((PyASCIIObject *) name)->hash) : PyObject_SetItem(ns, name, value)) -#elif CYTHON_COMPILING_IN_CPYTHON -#define __Pyx_SetNameInClass(ns, name, value)\ - (likely(PyDict_CheckExact(ns)) ? PyDict_SetItem(ns, name, value) : PyObject_SetItem(ns, name, value)) -#else -#define __Pyx_SetNameInClass(ns, name, value) PyObject_SetItem(ns, name, value) -#endif +struct __pyx_obj_5talib_7_ta_lib_CDLHARAMI_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* PyObjectCall2Args.proto (used by Py3ClassCreate) */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2); -/* PyObjectLookupSpecial.proto (used by Py3ClassCreate) */ -#if CYTHON_USE_PYTYPE_LOOKUP && CYTHON_USE_TYPE_SLOTS -#define __Pyx_PyObject_LookupSpecialNoError(obj, attr_name) __Pyx__PyObject_LookupSpecial(obj, attr_name, 0) -#define __Pyx_PyObject_LookupSpecial(obj, attr_name) __Pyx__PyObject_LookupSpecial(obj, attr_name, 1) -static CYTHON_INLINE PyObject* __Pyx__PyObject_LookupSpecial(PyObject* obj, PyObject* attr_name, int with_error); -#else -#define __Pyx_PyObject_LookupSpecialNoError(o,n) __Pyx_PyObject_GetAttrStrNoError(o,n) -#define __Pyx_PyObject_LookupSpecial(o,n) __Pyx_PyObject_GetAttrStr(o,n) -#endif +struct __pyx_obj_5talib_7_ta_lib_CDLHARAMICROSS_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* Py3ClassCreate.proto */ -static PyObject *__Pyx_Py3MetaclassPrepare(PyObject *metaclass, PyObject *bases, PyObject *name, PyObject *qualname, - PyObject *mkw, PyObject *modname, PyObject *doc); -static PyObject *__Pyx_Py3ClassCreate(PyObject *metaclass, PyObject *name, PyObject *bases, PyObject *dict, - PyObject *mkw, int calculate_metaclass, int allow_py2_metaclass); -/* ImportFrom.proto */ -static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name); +struct __pyx_obj_5talib_7_ta_lib_CDLHIGHWAVE_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* ListPack.proto */ -static PyObject *__Pyx_PyList_Pack(Py_ssize_t n, ...); -/* PyObjectCallMethod1.proto (used by append) */ -static PyObject* __Pyx_PyObject_CallMethod1(PyObject* obj, PyObject* method_name, PyObject* arg); +struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKE_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* append.proto */ -static CYTHON_INLINE int __Pyx_PyObject_Append(PyObject* L, PyObject* x); -/* PyModuleNotFoundError_Check.proto */ -#define __Pyx_PyExc_ModuleNotFoundError_Check(obj) __Pyx_TypeCheck(obj, PyExc_ModuleNotFoundError) +struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* PyNameError_Check.proto */ -#define __Pyx_PyExc_NameError_Check(obj) __Pyx_TypeCheck(obj, PyExc_NameError) -/* CLineInTraceback.proto (used by AddTraceback) */ -#if CYTHON_CLINE_IN_TRACEBACK && CYTHON_CLINE_IN_TRACEBACK_RUNTIME -static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line); -#else -#define __Pyx_CLineForTraceback(tstate, c_line) (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0) -#endif +struct __pyx_obj_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* CodeObjectCache.proto (used by AddTraceback) */ -#if CYTHON_COMPILING_IN_LIMITED_API -typedef PyObject __Pyx_CachedCodeObjectType; -#else -typedef PyCodeObject __Pyx_CachedCodeObjectType; -#endif -typedef struct { - __Pyx_CachedCodeObjectType* code_object; - int code_line; -} __Pyx_CodeObjectCacheEntry; -struct __Pyx_CodeObjectCache { - int count; - int max_count; - __Pyx_CodeObjectCacheEntry* entries; - #if CYTHON_COMPILING_IN_CPYTHON_FREETHREADING - __pyx_atomic_int_type accessor_count; - #endif + +struct __pyx_obj_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; }; -static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line); -static __Pyx_CachedCodeObjectType *__pyx_find_code_object(int code_line); -static void __pyx_insert_code_object(int code_line, __Pyx_CachedCodeObjectType* code_object); -/* AddTraceback.proto */ -static void __Pyx_AddTraceback(const char *funcname, int c_line, - int py_line, const char *filename); -/* RealImag.proto */ -#if CYTHON_CCOMPLEX - #ifdef __cplusplus - #define __Pyx_CREAL(z) ((z).real()) - #define __Pyx_CIMAG(z) ((z).imag()) - #else - #define __Pyx_CREAL(z) (__real__(z)) - #define __Pyx_CIMAG(z) (__imag__(z)) - #endif -#else - #define __Pyx_CREAL(z) ((z).real) - #define __Pyx_CIMAG(z) ((z).imag) -#endif -#if defined(__cplusplus) && CYTHON_CCOMPLEX\ - && (defined(_WIN32) || defined(__clang__) || (defined(__GNUC__) && (__GNUC__ >= 5 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4 )) || __cplusplus >= 201103) - #define __Pyx_SET_CREAL(z,x) ((z).real(x)) - #define __Pyx_SET_CIMAG(z,y) ((z).imag(y)) -#else - #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x) - #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y) -#endif +struct __pyx_obj_5talib_7_ta_lib_CDLINNECK_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* Arithmetic.proto */ -#if CYTHON_CCOMPLEX && (1) && (!0 || __cplusplus) - #define __Pyx_c_eq_float(a, b) ((a)==(b)) - #define __Pyx_c_sum_float(a, b) ((a)+(b)) - #define __Pyx_c_diff_float(a, b) ((a)-(b)) - #define __Pyx_c_prod_float(a, b) ((a)*(b)) - #define __Pyx_c_quot_float(a, b) ((a)/(b)) - #define __Pyx_c_neg_float(a) (-(a)) - #ifdef __cplusplus - #define __Pyx_c_is_zero_float(z) ((z)==(float)0) - #define __Pyx_c_conj_float(z) (::std::conj(z)) - #if 1 - #define __Pyx_c_abs_float(z) (::std::abs(z)) - #define __Pyx_c_pow_float(a, b) (::std::pow(a, b)) - #endif - #else - #define __Pyx_c_is_zero_float(z) ((z)==0) - #define __Pyx_c_conj_float(z) (conjf(z)) - #if 1 - #define __Pyx_c_abs_float(z) (cabsf(z)) - #define __Pyx_c_pow_float(a, b) (cpowf(a, b)) - #endif - #endif -#else - static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex, __pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex); - static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex); - #if 1 - static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex); - static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex, __pyx_t_float_complex); - #endif -#endif -/* Arithmetic.proto */ -#if CYTHON_CCOMPLEX && (1) && (!0 || __cplusplus) - #define __Pyx_c_eq_double(a, b) ((a)==(b)) - #define __Pyx_c_sum_double(a, b) ((a)+(b)) - #define __Pyx_c_diff_double(a, b) ((a)-(b)) - #define __Pyx_c_prod_double(a, b) ((a)*(b)) - #define __Pyx_c_quot_double(a, b) ((a)/(b)) - #define __Pyx_c_neg_double(a) (-(a)) - #ifdef __cplusplus - #define __Pyx_c_is_zero_double(z) ((z)==(double)0) - #define __Pyx_c_conj_double(z) (::std::conj(z)) - #if 1 - #define __Pyx_c_abs_double(z) (::std::abs(z)) - #define __Pyx_c_pow_double(a, b) (::std::pow(a, b)) - #endif - #else - #define __Pyx_c_is_zero_double(z) ((z)==0) - #define __Pyx_c_conj_double(z) (conj(z)) - #if 1 - #define __Pyx_c_abs_double(z) (cabs(z)) - #define __Pyx_c_pow_double(a, b) (cpow(a, b)) - #endif - #endif -#else - static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex, __pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex); - static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex); - #if 1 - static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex); - static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex, __pyx_t_double_complex); - #endif -#endif +struct __pyx_obj_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* Arithmetic.proto */ -#if CYTHON_CCOMPLEX && (1) && (!0 || __cplusplus) - #define __Pyx_c_eq_long__double(a, b) ((a)==(b)) - #define __Pyx_c_sum_long__double(a, b) ((a)+(b)) - #define __Pyx_c_diff_long__double(a, b) ((a)-(b)) - #define __Pyx_c_prod_long__double(a, b) ((a)*(b)) - #define __Pyx_c_quot_long__double(a, b) ((a)/(b)) - #define __Pyx_c_neg_long__double(a) (-(a)) - #ifdef __cplusplus - #define __Pyx_c_is_zero_long__double(z) ((z)==(long double)0) - #define __Pyx_c_conj_long__double(z) (::std::conj(z)) - #if 1 - #define __Pyx_c_abs_long__double(z) (::std::abs(z)) - #define __Pyx_c_pow_long__double(a, b) (::std::pow(a, b)) - #endif - #else - #define __Pyx_c_is_zero_long__double(z) ((z)==0) - #define __Pyx_c_conj_long__double(z) (conjl(z)) - #if 1 - #define __Pyx_c_abs_long__double(z) (cabsl(z)) - #define __Pyx_c_pow_long__double(a, b) (cpowl(a, b)) - #endif - #endif -#else - static CYTHON_INLINE int __Pyx_c_eq_long__double(__pyx_t_long_double_complex, __pyx_t_long_double_complex); - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_sum_long__double(__pyx_t_long_double_complex, __pyx_t_long_double_complex); - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_diff_long__double(__pyx_t_long_double_complex, __pyx_t_long_double_complex); - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_prod_long__double(__pyx_t_long_double_complex, __pyx_t_long_double_complex); - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_quot_long__double(__pyx_t_long_double_complex, __pyx_t_long_double_complex); - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_neg_long__double(__pyx_t_long_double_complex); - static CYTHON_INLINE int __Pyx_c_is_zero_long__double(__pyx_t_long_double_complex); - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_conj_long__double(__pyx_t_long_double_complex); - #if 1 - static CYTHON_INLINE long double __Pyx_c_abs_long__double(__pyx_t_long_double_complex); - static CYTHON_INLINE __pyx_t_long_double_complex __Pyx_c_pow_long__double(__pyx_t_long_double_complex, __pyx_t_long_double_complex); - #endif -#endif -/* CIntFromPy.proto */ -static CYTHON_INLINE TA_RetCode __Pyx_PyLong_As_TA_RetCode(PyObject *); +struct __pyx_obj_5talib_7_ta_lib_CDLKICKING_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyLong_From_TA_FuncUnstId(TA_FuncUnstId value); -/* CIntFromPy.proto */ -static CYTHON_INLINE int __Pyx_PyLong_As_int(PyObject *); +struct __pyx_obj_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyLong_From_int(int value); -/* CIntFromPy.proto */ -static CYTHON_INLINE TA_FuncUnstId __Pyx_PyLong_As_TA_FuncUnstId(PyObject *); +struct __pyx_obj_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* CIntFromPy.proto */ -static CYTHON_INLINE unsigned int __Pyx_PyLong_As_unsigned_int(PyObject *); -/* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyLong_From_unsigned_int(unsigned int value); +struct __pyx_obj_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* CIntFromPy.proto */ -static CYTHON_INLINE TA_Compatibility __Pyx_PyLong_As_TA_Compatibility(PyObject *); -/* CIntFromPy.proto */ -static CYTHON_INLINE TA_CandleSettingType __Pyx_PyLong_As_TA_CandleSettingType(PyObject *); +struct __pyx_obj_5talib_7_ta_lib_CDLLONGLINE_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* CIntFromPy.proto */ -static CYTHON_INLINE TA_RangeType __Pyx_PyLong_As_TA_RangeType(PyObject *); -/* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyLong_From_long(long value); +struct __pyx_obj_5talib_7_ta_lib_CDLMARUBOZU_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyLong_From_TA_OptInputParameterType(TA_OptInputParameterType value); -/* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyLong_From_TA_FuncFlags(TA_FuncFlags value); +struct __pyx_obj_5talib_7_ta_lib_CDLMATCHINGLOW_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyLong_From_TA_InputFlags(TA_InputFlags value); -/* CIntToPy.proto */ -static CYTHON_INLINE PyObject* __Pyx_PyLong_From_TA_OutputFlags(TA_OutputFlags value); +struct __pyx_obj_5talib_7_ta_lib_CDLMATHOLD_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* FormatTypeName.proto */ -#if CYTHON_COMPILING_IN_LIMITED_API -typedef PyObject *__Pyx_TypeName; -#define __Pyx_FMT_TYPENAME "%U" -#define __Pyx_DECREF_TypeName(obj) Py_XDECREF(obj) -#if __PYX_LIMITED_VERSION_HEX >= 0x030d0000 -#define __Pyx_PyType_GetFullyQualifiedName PyType_GetFullyQualifiedName -#else -static __Pyx_TypeName __Pyx_PyType_GetFullyQualifiedName(PyTypeObject* tp); -#endif -#else // !LIMITED_API -typedef const char *__Pyx_TypeName; -#define __Pyx_FMT_TYPENAME "%.200s" -#define __Pyx_PyType_GetFullyQualifiedName(tp) ((tp)->tp_name) -#define __Pyx_DECREF_TypeName(obj) -#endif -/* CIntFromPy.proto */ -static CYTHON_INLINE long __Pyx_PyLong_As_long(PyObject *); +struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* FastTypeChecks.proto */ -#if CYTHON_COMPILING_IN_CPYTHON -#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type) -#define __Pyx_TypeCheck2(obj, type1, type2) __Pyx_IsAnySubtype2(Py_TYPE(obj), (PyTypeObject *)type1, (PyTypeObject *)type2) -static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b); -static CYTHON_INLINE int __Pyx_IsAnySubtype2(PyTypeObject *cls, PyTypeObject *a, PyTypeObject *b); -static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type); -static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2); -#else -#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type) -#define __Pyx_TypeCheck2(obj, type1, type2) (PyObject_TypeCheck(obj, (PyTypeObject *)type1) || PyObject_TypeCheck(obj, (PyTypeObject *)type2)) -#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type) -static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2) { - return PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2); -} -#endif -#define __Pyx_PyErr_ExceptionMatches2(err1, err2) __Pyx_PyErr_GivenExceptionMatches2(__Pyx_PyErr_CurrentExceptionType(), err1, err2) -#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception) -#ifdef PyExceptionInstance_Check - #define __Pyx_PyBaseException_Check(obj) PyExceptionInstance_Check(obj) -#else - #define __Pyx_PyBaseException_Check(obj) __Pyx_TypeCheck(obj, PyExc_BaseException) -#endif -/* GetRuntimeVersion.proto */ -#if __PYX_LIMITED_VERSION_HEX < 0x030b0000 -static unsigned long __Pyx_cached_runtime_version = 0; -static void __Pyx_init_runtime_version(void); -#else -#define __Pyx_init_runtime_version() -#endif -static unsigned long __Pyx_get_runtime_version(void); +struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGSTAR_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* CheckBinaryVersion.proto */ -static int __Pyx_check_binary_version(unsigned long ct_version, unsigned long rt_version, int allow_newer); -/* DecompressString.proto */ -static PyObject *__Pyx_DecompressString(const char *s, Py_ssize_t length, int algo); +struct __pyx_obj_5talib_7_ta_lib_CDLONNECK_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* MultiPhaseInitModuleState.proto */ -#if CYTHON_PEP489_MULTI_PHASE_INIT && CYTHON_USE_MODULE_STATE -static PyObject *__Pyx_State_FindModule(void*); -static int __Pyx_State_AddModule(PyObject* module, void*); -static int __Pyx_State_RemoveModule(void*); -#elif CYTHON_USE_MODULE_STATE -#define __Pyx_State_FindModule PyState_FindModule -#define __Pyx_State_AddModule PyState_AddModule -#define __Pyx_State_RemoveModule PyState_RemoveModule -#endif -/* #### Code section: module_declarations ### */ -/* CythonABIVersion.proto */ -#if CYTHON_COMPILING_IN_LIMITED_API - #if CYTHON_METH_FASTCALL - #define __PYX_FASTCALL_ABI_SUFFIX "_fastcall" - #else - #define __PYX_FASTCALL_ABI_SUFFIX - #endif - #define __PYX_LIMITED_ABI_SUFFIX "limited" __PYX_FASTCALL_ABI_SUFFIX __PYX_AM_SEND_ABI_SUFFIX -#else - #define __PYX_LIMITED_ABI_SUFFIX -#endif -#if __PYX_HAS_PY_AM_SEND == 1 - #define __PYX_AM_SEND_ABI_SUFFIX -#elif __PYX_HAS_PY_AM_SEND == 2 - #define __PYX_AM_SEND_ABI_SUFFIX "amsendbackport" -#else - #define __PYX_AM_SEND_ABI_SUFFIX "noamsend" -#endif -#ifndef __PYX_MONITORING_ABI_SUFFIX - #define __PYX_MONITORING_ABI_SUFFIX -#endif -#if CYTHON_USE_TP_FINALIZE - #define __PYX_TP_FINALIZE_ABI_SUFFIX -#else - #define __PYX_TP_FINALIZE_ABI_SUFFIX "nofinalize" -#endif -#if CYTHON_USE_FREELISTS || !defined(__Pyx_AsyncGen_USED) - #define __PYX_FREELISTS_ABI_SUFFIX -#else - #define __PYX_FREELISTS_ABI_SUFFIX "nofreelists" -#endif -#define CYTHON_ABI __PYX_ABI_VERSION __PYX_LIMITED_ABI_SUFFIX __PYX_MONITORING_ABI_SUFFIX __PYX_TP_FINALIZE_ABI_SUFFIX __PYX_FREELISTS_ABI_SUFFIX __PYX_AM_SEND_ABI_SUFFIX -#define __PYX_ABI_MODULE_NAME "_cython_" CYTHON_ABI -#define __PYX_TYPE_MODULE_PREFIX __PYX_ABI_MODULE_NAME "." +struct __pyx_obj_5talib_7_ta_lib_CDLPIERCING_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -static CYTHON_INLINE PyTypeObject *__pyx_f_5numpy_5dtype_7typeobj_typeobj(PyArray_Descr *__pyx_v_self); /* proto*/ -static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4kind_kind(PyArray_Descr *__pyx_v_self); /* proto*/ -static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4type_type(PyArray_Descr *__pyx_v_self); /* proto*/ -static CYTHON_INLINE char __pyx_f_5numpy_5dtype_9byteorder_byteorder(PyArray_Descr *__pyx_v_self); /* proto*/ -static CYTHON_INLINE int __pyx_f_5numpy_5dtype_8type_num_type_num(PyArray_Descr *__pyx_v_self); /* proto*/ -static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_8itemsize_itemsize(PyArray_Descr *__pyx_v_self); /* proto*/ -static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_9alignment_alignment(PyArray_Descr *__pyx_v_self); /* proto*/ -static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_6fields_fields(PyArray_Descr *__pyx_v_self); /* proto*/ -static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_5names_names(PyArray_Descr *__pyx_v_self); /* proto*/ -static CYTHON_INLINE PyArray_ArrayDescr *__pyx_f_5numpy_5dtype_8subarray_subarray(PyArray_Descr *__pyx_v_self); /* proto*/ -static CYTHON_INLINE npy_uint64 __pyx_f_5numpy_5dtype_5flags_flags(PyArray_Descr *__pyx_v_self); /* proto*/ -static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_7numiter_numiter(PyArrayMultiIterObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_4size_size(PyArrayMultiIterObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_5index_index(PyArrayMultiIterObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_2nd_nd(PyArrayMultiIterObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE npy_intp *__pyx_f_5numpy_9broadcast_10dimensions_dimensions(PyArrayMultiIterObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE void **__pyx_f_5numpy_9broadcast_5iters_iters(PyArrayMultiIterObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE PyObject *__pyx_f_5numpy_7ndarray_4base_base(PyArrayObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE PyArray_Descr *__pyx_f_5numpy_7ndarray_5descr_descr(PyArrayObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE int __pyx_f_5numpy_7ndarray_4ndim_ndim(PyArrayObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_5shape_shape(PyArrayObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_7strides_strides(PyArrayObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE npy_intp __pyx_f_5numpy_7ndarray_4size_size(PyArrayObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE char *__pyx_f_5numpy_7ndarray_4data_data(PyArrayObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_3nin_nin(PyUFuncObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_4nout_nout(PyUFuncObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_5nargs_nargs(PyUFuncObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE PyUFuncGenericFunction *__pyx_f_5numpy_5ufunc_9functions_functions(PyUFuncObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE void **__pyx_f_5numpy_5ufunc_4data_data(PyUFuncObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_6ntypes_ntypes(PyUFuncObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_4name_name(PyUFuncObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_3doc_doc(PyUFuncObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE void *__pyx_f_5numpy_5ufunc_3ptr_ptr(PyUFuncObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_3obj_obj(PyUFuncObject *__pyx_v_self); /* proto*/ -static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_9userloops_userloops(PyUFuncObject *__pyx_v_self); /* proto*/ -/* Module declarations from "libc.string" */ +struct __pyx_obj_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* Module declarations from "libc.stdio" */ -/* Module declarations from "__builtin__" */ +struct __pyx_obj_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* Module declarations from "cpython.type" */ -/* Module declarations from "cpython" */ +struct __pyx_obj_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* Module declarations from "cpython.object" */ -/* Module declarations from "cpython.ref" */ +struct __pyx_obj_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* Module declarations from "numpy" */ -/* Module declarations from "numpy" */ -static CYTHON_INLINE int __pyx_f_5numpy_import_array(void); /*proto*/ +struct __pyx_obj_5talib_7_ta_lib_CDLSHORTLINE_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* Module declarations from "talib._ta_lib" */ -static double __pyx_v_5talib_7_ta_lib_NaN; -static PyObject *__pyx_f_5talib_7_ta_lib__ta_check_success(PyObject *, TA_RetCode, int __pyx_skip_dispatch); /*proto*/ -static PyArrayObject *__pyx_f_5talib_7_ta_lib_check_array(PyArrayObject *); /*proto*/ -static npy_intp __pyx_f_5talib_7_ta_lib_check_length2(PyArrayObject *, PyArrayObject *); /*proto*/ -static npy_intp __pyx_f_5talib_7_ta_lib_check_length3(PyArrayObject *, PyArrayObject *, PyArrayObject *); /*proto*/ -static npy_intp __pyx_f_5talib_7_ta_lib_check_length4(PyArrayObject *, PyArrayObject *, PyArrayObject *, PyArrayObject *); /*proto*/ -static npy_int __pyx_f_5talib_7_ta_lib_check_begidx1(npy_intp, double *); /*proto*/ -static npy_int __pyx_f_5talib_7_ta_lib_check_begidx2(npy_intp, double *, double *); /*proto*/ -static npy_int __pyx_f_5talib_7_ta_lib_check_begidx3(npy_intp, double *, double *, double *); /*proto*/ -static npy_int __pyx_f_5talib_7_ta_lib_check_begidx4(npy_intp, double *, double *, double *, double *); /*proto*/ -static PyArrayObject *__pyx_f_5talib_7_ta_lib_make_double_array(npy_intp, int); /*proto*/ -static PyArrayObject *__pyx_f_5talib_7_ta_lib_make_int_array(npy_intp, int); /*proto*/ -static TA_FuncHandle const *__pyx_f_5talib_7_ta_lib___ta_getFuncHandle(char *); /*proto*/ -static TA_ParamHolder *__pyx_f_5talib_7_ta_lib___ta_paramHolderAlloc(char *); /*proto*/ -static int __pyx_f_5talib_7_ta_lib___ta_paramHolderFree(TA_ParamHolder *); /*proto*/ -static int __pyx_f_5talib_7_ta_lib___ta_setOptInputParamInteger(TA_ParamHolder *, int, int); /*proto*/ -static int __pyx_f_5talib_7_ta_lib___ta_setOptInputParamReal(TA_ParamHolder *, int, double); /*proto*/ -static int __pyx_f_5talib_7_ta_lib___ta_getLookback(TA_ParamHolder *); /*proto*/ -/* #### Code section: typeinfo ### */ -/* #### Code section: before_global_var ### */ -#define __Pyx_MODULE_NAME "talib._ta_lib" -extern int __pyx_module_is_main_talib___ta_lib; -int __pyx_module_is_main_talib___ta_lib = 0; -/* Implementation of "talib._ta_lib" */ -/* #### Code section: global_var ### */ -static PyObject *__pyx_builtin_object; -static PyObject *__pyx_builtin_property; -static PyObject *__pyx_builtin_enumerate; -/* #### Code section: string_decls ### */ -/* #### Code section: decls ### */ -static PyObject *__pyx_pf_5talib_7_ta_lib__ta_check_success(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_function_name, TA_RetCode __pyx_v_ret_code); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_2_ta_initialize(CYTHON_UNUSED PyObject *__pyx_self); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_4_ta_shutdown(CYTHON_UNUSED PyObject *__pyx_self); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_7MA_Type___init__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_7MA_Type_2__getitem__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_type_); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_6_ta_func_unst_id(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_name); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8_ta_set_unstable_period(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_name, PyObject *__pyx_v_period); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_10_ta_get_unstable_period(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_name); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_12_ta_set_compatibility(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_value); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_14_ta_get_compatibility(CYTHON_UNUSED PyObject *__pyx_self); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_16_ta_set_candle_settings(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_settingtype, PyObject *__pyx_v_rangetype, PyObject *__pyx_v_avgperiod, PyObject *__pyx_v_factor); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_18_ta_restore_candle_default_settings(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_settingtype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_20AC(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_signalperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_22ACCBANDS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_24ACOS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_26AD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_28ADD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real0, PyArrayObject *__pyx_v_real1); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_30ADOSC(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume, int __pyx_v_fastperiod, int __pyx_v_slowperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_32ADR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_34ADX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_36ADXR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_38AO(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_fastperiod, int __pyx_v_slowperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_40APO(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_matype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_42AROON(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_44AROONOSC(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_46ASIN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_48ATAN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_50ATR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_52AVGDEV(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_54AVGPRICE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_56BBANDS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_nbdevup, double __pyx_v_nbdevdn, int __pyx_v_matype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_58BETA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real0, PyArrayObject *__pyx_v_real1, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_60BOP(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_62CCI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_64CDL2CROWS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_66CDL3BLACKCROWS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_68CDL3INSIDE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_70CDL3LINESTRIKE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_72CDL3OUTSIDE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_74CDL3STARSINSOUTH(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_76CDL3WHITESOLDIERS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_78CDLABANDONEDBABY(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_80CDLADVANCEBLOCK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_82CDLBELTHOLD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_84CDLBREAKAWAY(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_86CDLCLOSINGMARUBOZU(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_88CDLCONCEALBABYSWALL(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_90CDLCOUNTERATTACK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_92CDLDARKCLOUDCOVER(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_94CDLDOJI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_96CDLDOJISTAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_98CDLDRAGONFLYDOJI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_100CDLENGULFING(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_102CDLEVENINGDOJISTAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_104CDLEVENINGSTAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_106CDLGAPSIDESIDEWHITE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_108CDLGRAVESTONEDOJI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_110CDLHAMMER(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_112CDLHANGINGMAN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_114CDLHARAMI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_116CDLHARAMICROSS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_118CDLHIGHWAVE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_120CDLHIKKAKE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_122CDLHIKKAKEMOD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_124CDLHOMINGPIGEON(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_126CDLIDENTICAL3CROWS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_128CDLINNECK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_130CDLINVERTEDHAMMER(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_132CDLKICKING(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_134CDLKICKINGBYLENGTH(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_136CDLLADDERBOTTOM(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_138CDLLONGLEGGEDDOJI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_140CDLLONGLINE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_142CDLMARUBOZU(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_144CDLMATCHINGLOW(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_146CDLMATHOLD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_148CDLMORNINGDOJISTAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_150CDLMORNINGSTAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_152CDLONNECK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_154CDLPIERCING(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_156CDLRICKSHAWMAN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_158CDLRISEFALL3METHODS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_160CDLSEPARATINGLINES(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_162CDLSHOOTINGSTAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_164CDLSHORTLINE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_166CDLSPINNINGTOP(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_168CDLSTALLEDPATTERN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_170CDLSTICKSANDWICH(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_172CDLTAKURI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_174CDLTASUKIGAP(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_176CDLTHRUSTING(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_178CDLTRISTAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_180CDLUNIQUE3RIVER(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_182CDLUPSIDEGAP2CROWS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_184CDLXSIDEGAP3METHODS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_186CEIL(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_188CMF(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_190CMO(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_192CMOU(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_194COPPOCK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_wmaperiod, int __pyx_v_roc1period, int __pyx_v_roc2period); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_196CORREL(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real0, PyArrayObject *__pyx_v_real1, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_198COS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_200COSH(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_202CUMSUM(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_204CVI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod, int __pyx_v_rocperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_206DEMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_208DIV(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real0, PyArrayObject *__pyx_v_real1); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_210DONCHIAN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_212DPO(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_214DX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_216EFI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_218EMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_220ER(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_222ERI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_224EXP(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_226FLOOR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_228FOSC(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_230FRACTAL(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_leftbars, int __pyx_v_rightbars); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_232HA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_234HMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_236HT_DCPERIOD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_238HT_DCPHASE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_240HT_PHASOR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_242HT_SINE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_244HT_TRENDLINE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_246HT_TRENDMODE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_248IMI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_250KAMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_252KC(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod, int __pyx_v_atrperiod, double __pyx_v_nbdev); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_254KDJ(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_fastk_period, int __pyx_v_slowk_period, int __pyx_v_slowk_matype, int __pyx_v_slowd_period, int __pyx_v_slowd_matype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_256LINEARREG(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_258LINEARREG_ANGLE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_260LINEARREG_INTERCEPT(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_262LINEARREG_SLOPE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_264LN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_266LOG10(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_268MA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, int __pyx_v_matype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_270MACD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_signalperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_272MACDEXT(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_fastperiod, int __pyx_v_fastmatype, int __pyx_v_slowperiod, int __pyx_v_slowmatype, int __pyx_v_signalperiod, int __pyx_v_signalmatype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_274MACDFIX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_signalperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_276MAMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, double __pyx_v_fastlimit, double __pyx_v_slowlimit); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_278MARKETFI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_volume); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_280MASSI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_fastperiod, int __pyx_v_slowperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_282MAVP(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, PyArrayObject *__pyx_v_periods, int __pyx_v_minperiod, int __pyx_v_maxperiod, int __pyx_v_matype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_284MAX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_286MAXINDEX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_288MEDPRICE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_290MFI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_292MIDPOINT(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_294MIDPRICE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_296MIN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_298MININDEX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_300MINMAX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_302MINMAXINDEX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_304MINUS_DI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_306MINUS_DM(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_308MOM(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_310MULT(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real0, PyArrayObject *__pyx_v_real1); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_312NATR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_314NVI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_316OBV(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, PyArrayObject *__pyx_v_volume); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_318PERCENTILE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_percentile); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_320PERCENTRANK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_322PLUS_DI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_324PLUS_DM(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_326PPO(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_matype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_328PVI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_330PVO(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_volume, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_matype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_332PVT(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_334QSTICK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_336RMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_338ROC(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_340ROCP(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_342ROCR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_344ROCR100(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_346RSI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_348RVI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, int __pyx_v_stddevperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_350RVOL(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_352SAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, double __pyx_v_acceleration, double __pyx_v_maximum); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_354SAREXT(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, double __pyx_v_startvalue, double __pyx_v_offsetonreverse, double __pyx_v_accelerationinitlong, double __pyx_v_accelerationlong, double __pyx_v_accelerationmaxlong, double __pyx_v_accelerationinitshort, double __pyx_v_accelerationshort, double __pyx_v_accelerationmaxshort); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_356SIN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_358SINH(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_360SMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_362SMI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_signalperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_364SQRT(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_366STDDEV(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_nbdev); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_368STOCH(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_fastk_period, int __pyx_v_slowk_period, int __pyx_v_slowk_matype, int __pyx_v_slowd_period, int __pyx_v_slowd_matype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_370STOCHF(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_fastk_period, int __pyx_v_fastd_period, int __pyx_v_fastd_matype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_372STOCHRSI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, int __pyx_v_fastk_period, int __pyx_v_fastd_period, int __pyx_v_fastd_matype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_374SUB(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real0, PyArrayObject *__pyx_v_real1); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_376SUM(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_378SUPERTREND(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod, double __pyx_v_multiplier); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_380T3(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_vfactor); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_382TAN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_384TANH(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_386TEMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_388TRANGE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_390TRIMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_392TRIX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_394TSF(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_396TSI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_firstperiod, int __pyx_v_secondperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_398TYPPRICE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_400ULTOSC(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod1, int __pyx_v_timeperiod2, int __pyx_v_timeperiod3); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_402VAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_nbdev); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_404VHF(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_406VORTEX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_408VWAP(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_410VWMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, PyArrayObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_412WAD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_414WCLPRICE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_416WILLR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_418WMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_420ZLEMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_422str2bytes(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_s); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_424bytes2str(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_b); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_426str2bytes(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_s); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_428bytes2str(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_b); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function___init__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_function_name, PyObject *__pyx_v_func_object, PyObject *__pyx_v_args, PyObject *__pyx_v_kwargs); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_2__local(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_4info(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_6function_flags(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_8output_flags(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_10get_input_names(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_12set_input_names(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_input_names); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_14get_input_arrays(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_16set_input_arrays(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_input_arrays); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_18get_parameters(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_20set_parameters(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_parameters, PyObject *__pyx_v_kwargs); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_22set_function_args(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_args, PyObject *__pyx_v_kwargs); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_24lookback(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_26output_names(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_28outputs(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_30run(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_input_arrays); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_32__call__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_args, PyObject *__pyx_v_kwargs); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_34__input_price_series_names(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_36__call_function(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_38__check_opt_input_value(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_input_name, PyObject *__pyx_v_value); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_40__get_opt_input_value(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_input_name); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_42__repr__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_44__unicode__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_46__str__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_430_ta_getGroupTable(CYTHON_UNUSED PyObject *__pyx_self); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_432_ta_getFuncTable(CYTHON_UNUSED PyObject *__pyx_self, char *__pyx_v_group); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_434__get_flags(CYTHON_UNUSED PyObject *__pyx_self, int __pyx_v_flag, PyObject *__pyx_v_flags_lookup_dict); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_436_ta_getFuncInfo(CYTHON_UNUSED PyObject *__pyx_self, char *__pyx_v_function_name); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_438_ta_getInputParameterInfo(CYTHON_UNUSED PyObject *__pyx_self, char *__pyx_v_function_name, int __pyx_v_idx); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_440_ta_getOptInputParameterInfo(CYTHON_UNUSED PyObject *__pyx_self, char *__pyx_v_function_name, int __pyx_v_idx); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_442_ta_getOutputParameterInfo(CYTHON_UNUSED PyObject *__pyx_self, char *__pyx_v_function_name, int __pyx_v_idx); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_444_get_defaults_and_docs(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_func_info); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_446stream_AC(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_signalperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_448stream_ACCBANDS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_450stream_ACOS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_452stream_AD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_454stream_ADD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real0, PyArrayObject *__pyx_v_real1); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_456stream_ADOSC(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume, int __pyx_v_fastperiod, int __pyx_v_slowperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_458stream_ADR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_460stream_ADX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_462stream_ADXR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_464stream_AO(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_fastperiod, int __pyx_v_slowperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_466stream_APO(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_matype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_468stream_AROON(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_470stream_AROONOSC(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_472stream_ASIN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_474stream_ATAN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_476stream_ATR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_478stream_AVGDEV(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_480stream_AVGPRICE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_482stream_BBANDS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_nbdevup, double __pyx_v_nbdevdn, int __pyx_v_matype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_484stream_BETA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real0, PyArrayObject *__pyx_v_real1, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_486stream_BOP(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_488stream_CCI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_490stream_CDL2CROWS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_492stream_CDL3BLACKCROWS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_494stream_CDL3INSIDE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_496stream_CDL3LINESTRIKE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_498stream_CDL3OUTSIDE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_500stream_CDL3STARSINSOUTH(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_502stream_CDL3WHITESOLDIERS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_504stream_CDLABANDONEDBABY(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_506stream_CDLADVANCEBLOCK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_508stream_CDLBELTHOLD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_510stream_CDLBREAKAWAY(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_512stream_CDLCLOSINGMARUBOZU(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_514stream_CDLCONCEALBABYSWALL(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_516stream_CDLCOUNTERATTACK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_518stream_CDLDARKCLOUDCOVER(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_520stream_CDLDOJI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_522stream_CDLDOJISTAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_524stream_CDLDRAGONFLYDOJI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_526stream_CDLENGULFING(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_528stream_CDLEVENINGDOJISTAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_530stream_CDLEVENINGSTAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_532stream_CDLGAPSIDESIDEWHITE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_534stream_CDLGRAVESTONEDOJI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_536stream_CDLHAMMER(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_538stream_CDLHANGINGMAN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_540stream_CDLHARAMI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_542stream_CDLHARAMICROSS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_544stream_CDLHIGHWAVE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_546stream_CDLHIKKAKE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_548stream_CDLHIKKAKEMOD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_550stream_CDLHOMINGPIGEON(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_552stream_CDLIDENTICAL3CROWS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_554stream_CDLINNECK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_556stream_CDLINVERTEDHAMMER(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_558stream_CDLKICKING(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_560stream_CDLKICKINGBYLENGTH(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_562stream_CDLLADDERBOTTOM(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_564stream_CDLLONGLEGGEDDOJI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_566stream_CDLLONGLINE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_568stream_CDLMARUBOZU(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_570stream_CDLMATCHINGLOW(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_572stream_CDLMATHOLD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_574stream_CDLMORNINGDOJISTAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_576stream_CDLMORNINGSTAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_578stream_CDLONNECK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_580stream_CDLPIERCING(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_582stream_CDLRICKSHAWMAN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_584stream_CDLRISEFALL3METHODS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_586stream_CDLSEPARATINGLINES(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_588stream_CDLSHOOTINGSTAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_590stream_CDLSHORTLINE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_592stream_CDLSPINNINGTOP(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_594stream_CDLSTALLEDPATTERN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_596stream_CDLSTICKSANDWICH(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_598stream_CDLTAKURI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_600stream_CDLTASUKIGAP(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_602stream_CDLTHRUSTING(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_604stream_CDLTRISTAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_606stream_CDLUNIQUE3RIVER(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_608stream_CDLUPSIDEGAP2CROWS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_610stream_CDLXSIDEGAP3METHODS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_612stream_CEIL(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_614stream_CMF(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_616stream_CMO(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_618stream_CMOU(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_620stream_COPPOCK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_wmaperiod, int __pyx_v_roc1period, int __pyx_v_roc2period); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_622stream_CORREL(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real0, PyArrayObject *__pyx_v_real1, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_624stream_COS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_626stream_COSH(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_628stream_CUMSUM(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_630stream_CVI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod, int __pyx_v_rocperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_632stream_DEMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_634stream_DIV(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real0, PyArrayObject *__pyx_v_real1); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_636stream_DONCHIAN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_638stream_DPO(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_640stream_DX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_642stream_EFI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_644stream_EMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_646stream_ER(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_648stream_ERI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_650stream_EXP(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_652stream_FLOOR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_654stream_FOSC(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_656stream_FRACTAL(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_leftbars, int __pyx_v_rightbars); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_658stream_HA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_660stream_HMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_662stream_HT_DCPERIOD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_664stream_HT_DCPHASE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_666stream_HT_PHASOR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_668stream_HT_SINE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_670stream_HT_TRENDLINE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_672stream_HT_TRENDMODE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_674stream_IMI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_676stream_KAMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_678stream_KC(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod, int __pyx_v_atrperiod, double __pyx_v_nbdev); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_680stream_KDJ(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_fastk_period, int __pyx_v_slowk_period, int __pyx_v_slowk_matype, int __pyx_v_slowd_period, int __pyx_v_slowd_matype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_682stream_LINEARREG(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_684stream_LINEARREG_ANGLE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_686stream_LINEARREG_INTERCEPT(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_688stream_LINEARREG_SLOPE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_690stream_LN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_692stream_LOG10(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_694stream_MA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, int __pyx_v_matype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_696stream_MACD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_signalperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_698stream_MACDEXT(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_fastperiod, int __pyx_v_fastmatype, int __pyx_v_slowperiod, int __pyx_v_slowmatype, int __pyx_v_signalperiod, int __pyx_v_signalmatype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_700stream_MACDFIX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_signalperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_702stream_MAMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, double __pyx_v_fastlimit, double __pyx_v_slowlimit); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_704stream_MARKETFI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_volume); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_706stream_MASSI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_fastperiod, int __pyx_v_slowperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_708stream_MAVP(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, PyArrayObject *__pyx_v_periods, int __pyx_v_minperiod, int __pyx_v_maxperiod, int __pyx_v_matype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_710stream_MAX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_712stream_MAXINDEX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_714stream_MEDPRICE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_716stream_MFI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_718stream_MIDPOINT(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_720stream_MIDPRICE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_722stream_MIN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_724stream_MININDEX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_726stream_MINMAX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_728stream_MINMAXINDEX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_730stream_MINUS_DI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_732stream_MINUS_DM(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_734stream_MOM(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_736stream_MULT(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real0, PyArrayObject *__pyx_v_real1); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_738stream_NATR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_740stream_NVI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_742stream_OBV(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, PyArrayObject *__pyx_v_volume); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_744stream_PERCENTILE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_percentile); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_746stream_PERCENTRANK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_748stream_PLUS_DI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_750stream_PLUS_DM(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_752stream_PPO(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_matype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_754stream_PVI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_756stream_PVO(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_volume, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_matype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_758stream_PVT(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_760stream_QSTICK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_762stream_RMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_764stream_ROC(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_766stream_ROCP(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_768stream_ROCR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_770stream_ROCR100(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_772stream_RSI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_774stream_RVI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, int __pyx_v_stddevperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_776stream_RVOL(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_778stream_SAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, double __pyx_v_acceleration, double __pyx_v_maximum); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_780stream_SAREXT(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, double __pyx_v_startvalue, double __pyx_v_offsetonreverse, double __pyx_v_accelerationinitlong, double __pyx_v_accelerationlong, double __pyx_v_accelerationmaxlong, double __pyx_v_accelerationinitshort, double __pyx_v_accelerationshort, double __pyx_v_accelerationmaxshort); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_782stream_SIN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_784stream_SINH(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_786stream_SMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_788stream_SMI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_signalperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_790stream_SQRT(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_792stream_STDDEV(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_nbdev); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_794stream_STOCH(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_fastk_period, int __pyx_v_slowk_period, int __pyx_v_slowk_matype, int __pyx_v_slowd_period, int __pyx_v_slowd_matype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_796stream_STOCHF(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_fastk_period, int __pyx_v_fastd_period, int __pyx_v_fastd_matype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_798stream_STOCHRSI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, int __pyx_v_fastk_period, int __pyx_v_fastd_period, int __pyx_v_fastd_matype); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_800stream_SUB(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real0, PyArrayObject *__pyx_v_real1); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_802stream_SUM(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_804stream_SUPERTREND(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod, double __pyx_v_multiplier); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_806stream_T3(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_vfactor); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_808stream_TAN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_810stream_TANH(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_812stream_TEMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_814stream_TRANGE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_816stream_TRIMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_818stream_TRIX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_820stream_TSF(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_822stream_TSI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_firstperiod, int __pyx_v_secondperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_824stream_TYPPRICE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_826stream_ULTOSC(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod1, int __pyx_v_timeperiod2, int __pyx_v_timeperiod3); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_828stream_VAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_nbdev); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_830stream_VHF(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_832stream_VORTEX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_834stream_VWAP(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_836stream_VWMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, PyArrayObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_838stream_WAD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_840stream_WCLPRICE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_842stream_WILLR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_844stream_WMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -static PyObject *__pyx_pf_5talib_7_ta_lib_846stream_ZLEMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ -/* #### Code section: late_includes ### */ -/* #### Code section: module_state ### */ -/* SmallCodeConfig */ -#ifndef CYTHON_SMALL_CODE -#if defined(__clang__) - #define CYTHON_SMALL_CODE -#elif defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 3)) - #define CYTHON_SMALL_CODE __attribute__((cold)) -#else - #define CYTHON_SMALL_CODE -#endif -#endif +struct __pyx_obj_5talib_7_ta_lib_CDLSPINNINGTOP_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -typedef struct { - PyObject *__pyx_d; - PyObject *__pyx_b; - PyObject *__pyx_cython_runtime; - PyObject *__pyx_empty_tuple; - PyObject *__pyx_empty_bytes; - PyObject *__pyx_empty_unicode; - PyTypeObject *__pyx_ptype_7cpython_4type_type; - PyTypeObject *__pyx_ptype_5numpy_dtype; - PyTypeObject *__pyx_ptype_5numpy_flatiter; - PyTypeObject *__pyx_ptype_5numpy_broadcast; - PyTypeObject *__pyx_ptype_5numpy_ndarray; - PyTypeObject *__pyx_ptype_5numpy_generic; - PyTypeObject *__pyx_ptype_5numpy_number; - PyTypeObject *__pyx_ptype_5numpy_integer; - PyTypeObject *__pyx_ptype_5numpy_signedinteger; - PyTypeObject *__pyx_ptype_5numpy_unsignedinteger; - PyTypeObject *__pyx_ptype_5numpy_inexact; - PyTypeObject *__pyx_ptype_5numpy_floating; - PyTypeObject *__pyx_ptype_5numpy_complexfloating; - PyTypeObject *__pyx_ptype_5numpy_flexible; - PyTypeObject *__pyx_ptype_5numpy_character; - PyTypeObject *__pyx_ptype_5numpy_ufunc; - __Pyx_CachedCFunction __pyx_umethod_PyDict_Type_items; - __Pyx_CachedCFunction __pyx_umethod_PyDict_Type_pop; - __Pyx_CachedCFunction __pyx_umethod_PyDict_Type_values; - PyObject *__pyx_tuple[10]; - PyObject *__pyx_codeobj_tab[450]; - PyObject *__pyx_string_tab[1383]; - PyObject *__pyx_number_tab[26]; -/* #### Code section: module_state_contents ### */ -/* CommonTypesMetaclass.module_state_decls */ -PyTypeObject *__pyx_CommonTypesMetaclassType; -/* CachedMethodType.module_state_decls */ -#if CYTHON_COMPILING_IN_LIMITED_API -PyObject *__Pyx_CachedMethodType; -#endif +struct __pyx_obj_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* CythonFunctionShared.module_state_decls */ -PyTypeObject *__pyx_CyFunctionType; -/* CodeObjectCache.module_state_decls */ -struct __Pyx_CodeObjectCache __pyx_code_cache; +struct __pyx_obj_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* #### Code section: module_state_end ### */ -} __pyx_mstatetype; -#if CYTHON_USE_MODULE_STATE -#ifdef __cplusplus -namespace { -extern struct PyModuleDef __pyx_moduledef; -} /* anonymous namespace */ -#else -static struct PyModuleDef __pyx_moduledef; -#endif +struct __pyx_obj_5talib_7_ta_lib_CDLTAKURI_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -#define __pyx_mstate_global (__Pyx_PyModule_GetState(__Pyx_State_FindModule(&__pyx_moduledef))) -#define __pyx_m (__Pyx_State_FindModule(&__pyx_moduledef)) -#else -static __pyx_mstatetype __pyx_mstate_global_static = -#ifdef __cplusplus - {}; -#else - {0}; -#endif -static __pyx_mstatetype * const __pyx_mstate_global = &__pyx_mstate_global_static; -#endif -/* #### Code section: constant_name_defines ### */ -#define __pyx_kp_u_ __pyx_string_tab[0] -#define __pyx_kp_u_3 __pyx_string_tab[1] -#define __pyx_kp_u_ADXR_has_no_unstable_period_of_i __pyx_string_tab[2] -#define __pyx_kp_u_A_period_of_1_performs_no_smooth __pyx_string_tab[3] -#define __pyx_kp_u_Allocation_Error_TA_ALLOC_ERR __pyx_string_tab[4] -#define __pyx_kp_u_Bad_Object_TA_BAD_OBJECT __pyx_string_tab[5] -#define __pyx_kp_u_Bad_Parameter_TA_BAD_PARAM __pyx_string_tab[6] -#define __pyx_kp_u_Bull_Bear_Pattern_Bearish_0_Neut __pyx_string_tab[7] -#define __pyx_kp_u_Dashed_Line __pyx_string_tab[8] -#define __pyx_kp_u_Dotted_Line __pyx_string_tab[9] -#define __pyx_kp_u_Double_Exponential_Moving_Averag __pyx_string_tab[10] -#define __pyx_kp_u_Exponential_Moving_Average __pyx_string_tab[11] -#define __pyx_kp_u_Function_Not_Found_TA_FUNC_NOT_F __pyx_string_tab[12] -#define __pyx_kp_u_Function_has_a_streaming_API __pyx_string_tab[13] -#define __pyx_kp_u_Function_has_an_unstable_period __pyx_string_tab[14] -#define __pyx_kp_u_Group_Not_Found_TA_GROUP_NOT_FOU __pyx_string_tab[15] -#define __pyx_kp_u_Hull_Moving_Average __pyx_string_tab[16] -#define __pyx_kp_u_Input_Not_All_Initialized_TA_INP __pyx_string_tab[17] -#define __pyx_kp_u_Inputs __pyx_string_tab[18] -#define __pyx_kp_u_Insufficient_History_TA_INSUFFIC __pyx_string_tab[19] -#define __pyx_kp_u_Internal_Error_TA_INTERNAL_ERROR __pyx_string_tab[20] -#define __pyx_kp_u_Invalid_Handle_TA_INVALID_HANDLE __pyx_string_tab[21] -#define __pyx_kp_u_Invalid_List_Type_TA_INVALID_LIS __pyx_string_tab[22] -#define __pyx_kp_u_Invalid_Parameter_Function_TA_IN __pyx_string_tab[23] -#define __pyx_kp_u_Invalid_Parameter_Holder_TA_INVA __pyx_string_tab[24] -#define __pyx_kp_u_Invalid_Parameter_Holder_Type_TA __pyx_string_tab[25] -#define __pyx_kp_u_Invalid_parameter_value_for __pyx_string_tab[26] -#define __pyx_kp_u_Kaufman_Adaptive_Moving_Average __pyx_string_tab[27] -#define __pyx_kp_u_Library_Not_Initialized_TA_LIB_N __pyx_string_tab[28] -#define __pyx_kp_u_MESA_Adaptive_Moving_Average __pyx_string_tab[29] -#define __pyx_kp_u_MFI_s_unstable_period_was_retire __pyx_string_tab[30] -#define __pyx_kp_u_No_Moving_Average_identity __pyx_string_tab[31] -#define __pyx_kp_u_None __pyx_string_tab[32] -#define __pyx_kp_u_Not_Supported_TA_NOT_SUPPORTED __pyx_string_tab[33] -#define __pyx_kp_u_Not_enough_price_arguments_expec __pyx_string_tab[34] -#define __pyx_kp_u_Note_that_Cython_is_deliberately __pyx_string_tab[35] -#define __pyx_kp_u_Out_of_Range_End_Index_TA_OUT_OF __pyx_string_tab[36] -#define __pyx_kp_u_Out_of_Range_Start_Index_TA_OUT __pyx_string_tab[37] -#define __pyx_kp_u_Output_Not_All_Initialized_TA_OU __pyx_string_tab[38] -#define __pyx_kp_u_Output_can_be_NaN_or_infinite __pyx_string_tab[39] -#define __pyx_kp_u_Output_can_be_negative __pyx_string_tab[40] -#define __pyx_kp_u_Output_can_be_positive __pyx_string_tab[41] -#define __pyx_kp_u_Output_can_be_zero __pyx_string_tab[42] -#define __pyx_kp_u_Output_is_a_candlestick __pyx_string_tab[43] -#define __pyx_kp_u_Output_is_optional_nullable __pyx_string_tab[44] -#define __pyx_kp_u_Output_is_over_volume __pyx_string_tab[45] -#define __pyx_kp_u_Output_is_path_dependent __pyx_string_tab[46] -#define __pyx_kp_u_Output_scale_same_as_input __pyx_string_tab[47] -#define __pyx_kp_u_Outputs __pyx_string_tab[48] -#define __pyx_kp_u_Parameters __pyx_string_tab[49] -#define __pyx_kp_u_Pattern_Bool __pyx_string_tab[50] -#define __pyx_kp_u_STOCHRSI_has_no_unstable_period __pyx_string_tab[51] -#define __pyx_kp_u_Simple_Moving_Average __pyx_string_tab[52] -#define __pyx_kp_u_Strength_Pattern_200_100_Bearish __pyx_string_tab[53] -#define __pyx_kp_u_The_Function_s_Own_Default_Movin __pyx_string_tab[54] -#define __pyx_kp_u_This_is_a_pythonic_wrapper_arou __pyx_string_tab[55] -#define __pyx_kp_u_Too_many_price_arguments_expecte __pyx_string_tab[56] -#define __pyx_kp_u_Triangular_Moving_Average __pyx_string_tab[57] -#define __pyx_kp_u_Triple_Exponential_Moving_Averag __pyx_string_tab[58] -#define __pyx_kp_u_Triple_Generalized_Double_Expone __pyx_string_tab[59] -#define __pyx_kp_u_Unknown_Error __pyx_string_tab[60] -#define __pyx_kp_u_Unknown_Error_TA_UNKNOWN_ERR __pyx_string_tab[61] -#define __pyx_kp_u_Values_represent_a_lower_limit __pyx_string_tab[62] -#define __pyx_kp_u_Values_represent_an_upper_limit __pyx_string_tab[63] -#define __pyx_kp_u_Weighted_Moving_Average __pyx_string_tab[64] -#define __pyx_kp_u_Wilder_s_Smoothed_Moving_Average __pyx_string_tab[65] -#define __pyx_kp_u_Zero_Lag_Exponential_Moving_Aver __pyx_string_tab[66] -#define __pyx_kp_u__10 __pyx_string_tab[67] -#define __pyx_kp_u__11 __pyx_string_tab[68] -#define __pyx_kp_u__12 __pyx_string_tab[69] -#define __pyx_kp_u__13 __pyx_string_tab[70] -#define __pyx_kp_u__14 __pyx_string_tab[71] -#define __pyx_kp_u__15 __pyx_string_tab[72] -#define __pyx_kp_u__2 __pyx_string_tab[73] -#define __pyx_kp_u__3 __pyx_string_tab[74] -#define __pyx_kp_u__4 __pyx_string_tab[75] -#define __pyx_kp_u__5 __pyx_string_tab[76] -#define __pyx_kp_u__6 __pyx_string_tab[77] -#define __pyx_kp_u__7 __pyx_string_tab[78] -#define __pyx_kp_u__8 __pyx_string_tab[79] -#define __pyx_kp_u__9 __pyx_string_tab[80] -#define __pyx_kp_u_add_note __pyx_string_tab[81] -#define __pyx_kp_u_any_ndarray __pyx_string_tab[82] -#define __pyx_kp_u_display_name_s_group_s __pyx_string_tab[83] -#define __pyx_kp_u_expected __pyx_string_tab[84] -#define __pyx_kp_u_function_failed_with_error_code __pyx_string_tab[85] -#define __pyx_kp_u_got __pyx_string_tab[86] -#define __pyx_kp_u_input_array_has_wrong_dimensions __pyx_string_tab[87] -#define __pyx_kp_u_input_array_lengths_are_differen __pyx_string_tab[88] -#define __pyx_kp_u_input_array_type_is_not_double __pyx_string_tab[89] -#define __pyx_kp_u_input_arrays_2 __pyx_string_tab[90] -#define __pyx_kp_u_input_arrays_parameter_missing_r __pyx_string_tab[91] -#define __pyx_kp_u_integer_values_are_100_0_or_100 __pyx_string_tab[92] -#define __pyx_kp_u_is_deprecated_and_has_no_effect __pyx_string_tab[93] -#define __pyx_kp_u_numpy__core_multiarray_failed_to __pyx_string_tab[94] -#define __pyx_kp_u_numpy__core_umath_failed_to_impo __pyx_string_tab[95] -#define __pyx_kp_u_s_2 __pyx_string_tab[96] -#define __pyx_kp_u_s_3 __pyx_string_tab[97] -#define __pyx_kp_u_s_4 __pyx_string_tab[98] -#define __pyx_kp_u_stream__s __pyx_string_tab[99] -#define __pyx_kp_u_talib__abstract_pxi __pyx_string_tab[100] -#define __pyx_kp_u_talib__common_pxi __pyx_string_tab[101] -#define __pyx_kp_u_talib__func_pxi __pyx_string_tab[102] -#define __pyx_kp_u_talib__stream_pxi __pyx_string_tab[103] -#define __pyx_kp_u_talib_collections __pyx_string_tab[104] -#define __pyx_kp_u_talib_numpy __pyx_string_tab[105] -#define __pyx_kp_u_talib_ordereddict __pyx_string_tab[106] -#define __pyx_kp_u_talib_pandas __pyx_string_tab[107] -#define __pyx_kp_u_talib_polars __pyx_string_tab[108] -#define __pyx_kp_u_talib_sys __pyx_string_tab[109] -#define __pyx_kp_u_talib_threading __pyx_string_tab[110] -#define __pyx_kp_u_talib_warnings __pyx_string_tab[111] -#define __pyx_kp_u_unstable_period __pyx_string_tab[112] -#define __pyx_n_u_AC __pyx_string_tab[113] -#define __pyx_n_u_ACCBANDS __pyx_string_tab[114] -#define __pyx_n_u_ACOS __pyx_string_tab[115] -#define __pyx_n_u_AD __pyx_string_tab[116] -#define __pyx_n_u_ADD __pyx_string_tab[117] -#define __pyx_n_u_ADOSC __pyx_string_tab[118] -#define __pyx_n_u_ADR __pyx_string_tab[119] -#define __pyx_n_u_ADX __pyx_string_tab[120] -#define __pyx_n_u_ADXR __pyx_string_tab[121] -#define __pyx_n_u_ALL __pyx_string_tab[122] -#define __pyx_n_u_AO __pyx_string_tab[123] -#define __pyx_n_u_APO __pyx_string_tab[124] -#define __pyx_n_u_AROON __pyx_string_tab[125] -#define __pyx_n_u_AROONOSC __pyx_string_tab[126] -#define __pyx_n_u_ARRAY_TYPES __pyx_string_tab[127] -#define __pyx_n_u_ASIN __pyx_string_tab[128] -#define __pyx_n_u_ATAN __pyx_string_tab[129] -#define __pyx_n_u_ATR __pyx_string_tab[130] -#define __pyx_n_u_AVGDEV __pyx_string_tab[131] -#define __pyx_n_u_AVGPRICE __pyx_string_tab[132] -#define __pyx_n_u_AllCandleSettings __pyx_string_tab[133] -#define __pyx_n_u_BBANDS __pyx_string_tab[134] -#define __pyx_n_u_BETA __pyx_string_tab[135] -#define __pyx_n_u_BOP __pyx_string_tab[136] -#define __pyx_n_u_BodyDoji __pyx_string_tab[137] -#define __pyx_n_u_BodyLong __pyx_string_tab[138] -#define __pyx_n_u_BodyShort __pyx_string_tab[139] -#define __pyx_n_u_BodyVeryLong __pyx_string_tab[140] -#define __pyx_n_u_CCI __pyx_string_tab[141] -#define __pyx_n_u_CDL2CROWS __pyx_string_tab[142] -#define __pyx_n_u_CDL3BLACKCROWS __pyx_string_tab[143] -#define __pyx_n_u_CDL3INSIDE __pyx_string_tab[144] -#define __pyx_n_u_CDL3LINESTRIKE __pyx_string_tab[145] -#define __pyx_n_u_CDL3OUTSIDE __pyx_string_tab[146] -#define __pyx_n_u_CDL3STARSINSOUTH __pyx_string_tab[147] -#define __pyx_n_u_CDL3WHITESOLDIERS __pyx_string_tab[148] -#define __pyx_n_u_CDLABANDONEDBABY __pyx_string_tab[149] -#define __pyx_n_u_CDLADVANCEBLOCK __pyx_string_tab[150] -#define __pyx_n_u_CDLBELTHOLD __pyx_string_tab[151] -#define __pyx_n_u_CDLBREAKAWAY __pyx_string_tab[152] -#define __pyx_n_u_CDLCLOSINGMARUBOZU __pyx_string_tab[153] -#define __pyx_n_u_CDLCONCEALBABYSWALL __pyx_string_tab[154] -#define __pyx_n_u_CDLCOUNTERATTACK __pyx_string_tab[155] -#define __pyx_n_u_CDLDARKCLOUDCOVER __pyx_string_tab[156] -#define __pyx_n_u_CDLDOJI __pyx_string_tab[157] -#define __pyx_n_u_CDLDOJISTAR __pyx_string_tab[158] -#define __pyx_n_u_CDLDRAGONFLYDOJI __pyx_string_tab[159] -#define __pyx_n_u_CDLENGULFING __pyx_string_tab[160] -#define __pyx_n_u_CDLEVENINGDOJISTAR __pyx_string_tab[161] -#define __pyx_n_u_CDLEVENINGSTAR __pyx_string_tab[162] -#define __pyx_n_u_CDLGAPSIDESIDEWHITE __pyx_string_tab[163] -#define __pyx_n_u_CDLGRAVESTONEDOJI __pyx_string_tab[164] -#define __pyx_n_u_CDLHAMMER __pyx_string_tab[165] -#define __pyx_n_u_CDLHANGINGMAN __pyx_string_tab[166] -#define __pyx_n_u_CDLHARAMI __pyx_string_tab[167] -#define __pyx_n_u_CDLHARAMICROSS __pyx_string_tab[168] -#define __pyx_n_u_CDLHIGHWAVE __pyx_string_tab[169] -#define __pyx_n_u_CDLHIKKAKE __pyx_string_tab[170] -#define __pyx_n_u_CDLHIKKAKEMOD __pyx_string_tab[171] -#define __pyx_n_u_CDLHOMINGPIGEON __pyx_string_tab[172] -#define __pyx_n_u_CDLIDENTICAL3CROWS __pyx_string_tab[173] -#define __pyx_n_u_CDLINNECK __pyx_string_tab[174] -#define __pyx_n_u_CDLINVERTEDHAMMER __pyx_string_tab[175] -#define __pyx_n_u_CDLKICKING __pyx_string_tab[176] -#define __pyx_n_u_CDLKICKINGBYLENGTH __pyx_string_tab[177] -#define __pyx_n_u_CDLLADDERBOTTOM __pyx_string_tab[178] -#define __pyx_n_u_CDLLONGLEGGEDDOJI __pyx_string_tab[179] -#define __pyx_n_u_CDLLONGLINE __pyx_string_tab[180] -#define __pyx_n_u_CDLMARUBOZU __pyx_string_tab[181] -#define __pyx_n_u_CDLMATCHINGLOW __pyx_string_tab[182] -#define __pyx_n_u_CDLMATHOLD __pyx_string_tab[183] -#define __pyx_n_u_CDLMORNINGDOJISTAR __pyx_string_tab[184] -#define __pyx_n_u_CDLMORNINGSTAR __pyx_string_tab[185] -#define __pyx_n_u_CDLONNECK __pyx_string_tab[186] -#define __pyx_n_u_CDLPIERCING __pyx_string_tab[187] -#define __pyx_n_u_CDLRICKSHAWMAN __pyx_string_tab[188] -#define __pyx_n_u_CDLRISEFALL3METHODS __pyx_string_tab[189] -#define __pyx_n_u_CDLSEPARATINGLINES __pyx_string_tab[190] -#define __pyx_n_u_CDLSHOOTINGSTAR __pyx_string_tab[191] -#define __pyx_n_u_CDLSHORTLINE __pyx_string_tab[192] -#define __pyx_n_u_CDLSPINNINGTOP __pyx_string_tab[193] -#define __pyx_n_u_CDLSTALLEDPATTERN __pyx_string_tab[194] -#define __pyx_n_u_CDLSTICKSANDWICH __pyx_string_tab[195] -#define __pyx_n_u_CDLTAKURI __pyx_string_tab[196] -#define __pyx_n_u_CDLTASUKIGAP __pyx_string_tab[197] -#define __pyx_n_u_CDLTHRUSTING __pyx_string_tab[198] -#define __pyx_n_u_CDLTRISTAR __pyx_string_tab[199] -#define __pyx_n_u_CDLUNIQUE3RIVER __pyx_string_tab[200] -#define __pyx_n_u_CDLUPSIDEGAP2CROWS __pyx_string_tab[201] -#define __pyx_n_u_CDLXSIDEGAP3METHODS __pyx_string_tab[202] -#define __pyx_n_u_CEIL __pyx_string_tab[203] -#define __pyx_n_u_CMF __pyx_string_tab[204] -#define __pyx_n_u_CMO __pyx_string_tab[205] -#define __pyx_n_u_CMOU __pyx_string_tab[206] -#define __pyx_n_u_COPPOCK __pyx_string_tab[207] -#define __pyx_n_u_CORREL __pyx_string_tab[208] -#define __pyx_n_u_COS __pyx_string_tab[209] -#define __pyx_n_u_COSH __pyx_string_tab[210] -#define __pyx_n_u_CUMSUM __pyx_string_tab[211] -#define __pyx_n_u_CVI __pyx_string_tab[212] -#define __pyx_n_u_CandleSettingType __pyx_string_tab[213] -#define __pyx_n_u_DEFAULT __pyx_string_tab[214] -#define __pyx_n_u_DEMA __pyx_string_tab[215] -#define __pyx_n_u_DISABLED __pyx_string_tab[216] -#define __pyx_n_u_DIV __pyx_string_tab[217] -#define __pyx_n_u_DONCHIAN __pyx_string_tab[218] -#define __pyx_n_u_DPO __pyx_string_tab[219] -#define __pyx_n_u_DX __pyx_string_tab[220] -#define __pyx_n_u_DataFrame __pyx_string_tab[221] -#define __pyx_n_u_Dot __pyx_string_tab[222] -#define __pyx_n_u_EFI __pyx_string_tab[223] -#define __pyx_n_u_EMA __pyx_string_tab[224] -#define __pyx_n_u_ER __pyx_string_tab[225] -#define __pyx_n_u_ERI __pyx_string_tab[226] -#define __pyx_n_u_EXP __pyx_string_tab[227] -#define __pyx_n_u_Equal __pyx_string_tab[228] -#define __pyx_n_u_FLOOR __pyx_string_tab[229] -#define __pyx_n_u_FOSC __pyx_string_tab[230] -#define __pyx_n_u_FRACTAL __pyx_string_tab[231] -#define __pyx_n_u_Far __pyx_string_tab[232] -#define __pyx_n_u_Function __pyx_string_tab[233] -#define __pyx_n_u_Function___call __pyx_string_tab[234] -#define __pyx_n_u_Function___call_function __pyx_string_tab[235] -#define __pyx_n_u_Function___check_opt_input_value __pyx_string_tab[236] -#define __pyx_n_u_Function___get_opt_input_value __pyx_string_tab[237] -#define __pyx_n_u_Function___init __pyx_string_tab[238] -#define __pyx_n_u_Function___input_price_series_na __pyx_string_tab[239] -#define __pyx_n_u_Function___local __pyx_string_tab[240] -#define __pyx_n_u_Function___repr __pyx_string_tab[241] -#define __pyx_n_u_Function___str __pyx_string_tab[242] -#define __pyx_n_u_Function___unicode __pyx_string_tab[243] -#define __pyx_n_u_Function__call_function __pyx_string_tab[244] -#define __pyx_n_u_Function__check_opt_input_value __pyx_string_tab[245] -#define __pyx_n_u_Function__get_opt_input_value __pyx_string_tab[246] -#define __pyx_n_u_Function__input_price_series_na __pyx_string_tab[247] -#define __pyx_n_u_Function__local __pyx_string_tab[248] -#define __pyx_n_u_Function__localdata __pyx_string_tab[249] -#define __pyx_n_u_Function__name __pyx_string_tab[250] -#define __pyx_n_u_Function__namestr __pyx_string_tab[251] -#define __pyx_n_u_Function_function_flags __pyx_string_tab[252] -#define __pyx_n_u_Function_get_input_arrays __pyx_string_tab[253] -#define __pyx_n_u_Function_get_input_names __pyx_string_tab[254] -#define __pyx_n_u_Function_get_parameters __pyx_string_tab[255] -#define __pyx_n_u_Function_info __pyx_string_tab[256] -#define __pyx_n_u_Function_lookback __pyx_string_tab[257] -#define __pyx_n_u_Function_output_flags __pyx_string_tab[258] -#define __pyx_n_u_Function_output_names __pyx_string_tab[259] -#define __pyx_n_u_Function_outputs __pyx_string_tab[260] -#define __pyx_n_u_Function_run __pyx_string_tab[261] -#define __pyx_n_u_Function_set_function_args __pyx_string_tab[262] -#define __pyx_n_u_Function_set_input_arrays __pyx_string_tab[263] -#define __pyx_n_u_Function_set_input_names __pyx_string_tab[264] -#define __pyx_n_u_Function_set_parameters __pyx_string_tab[265] -#define __pyx_n_u_HA __pyx_string_tab[266] -#define __pyx_n_u_HMA __pyx_string_tab[267] -#define __pyx_n_u_HT_DCPERIOD __pyx_string_tab[268] -#define __pyx_n_u_HT_DCPHASE __pyx_string_tab[269] -#define __pyx_n_u_HT_PHASOR __pyx_string_tab[270] -#define __pyx_n_u_HT_SINE __pyx_string_tab[271] -#define __pyx_n_u_HT_TRENDLINE __pyx_string_tab[272] -#define __pyx_n_u_HT_TRENDMODE __pyx_string_tab[273] -#define __pyx_n_u_HighLow __pyx_string_tab[274] -#define __pyx_n_u_Histogram __pyx_string_tab[275] -#define __pyx_n_u_IMI __pyx_string_tab[276] -#define __pyx_n_u_INPUT_ARRAYS_TYPES __pyx_string_tab[277] -#define __pyx_n_u_INPUT_PRICE_SERIES_DEFAULTS __pyx_string_tab[278] -#define __pyx_n_u_KAMA __pyx_string_tab[279] -#define __pyx_n_u_KC __pyx_string_tab[280] -#define __pyx_n_u_KDJ __pyx_string_tab[281] -#define __pyx_n_u_LINEARREG __pyx_string_tab[282] -#define __pyx_n_u_LINEARREG_ANGLE __pyx_string_tab[283] -#define __pyx_n_u_LINEARREG_INTERCEPT __pyx_string_tab[284] -#define __pyx_n_u_LINEARREG_SLOPE __pyx_string_tab[285] -#define __pyx_n_u_LN __pyx_string_tab[286] -#define __pyx_n_u_LOG10 __pyx_string_tab[287] -#define __pyx_n_u_Line __pyx_string_tab[288] -#define __pyx_n_u_MA __pyx_string_tab[289] -#define __pyx_n_u_MACD __pyx_string_tab[290] -#define __pyx_n_u_MACDEXT __pyx_string_tab[291] -#define __pyx_n_u_MACDFIX __pyx_string_tab[292] -#define __pyx_n_u_MAMA __pyx_string_tab[293] -#define __pyx_n_u_MARKETFI __pyx_string_tab[294] -#define __pyx_n_u_MASSI __pyx_string_tab[295] -#define __pyx_n_u_MAVP __pyx_string_tab[296] -#define __pyx_n_u_MAX __pyx_string_tab[297] -#define __pyx_n_u_MAXINDEX __pyx_string_tab[298] -#define __pyx_n_u_MA_Type __pyx_string_tab[299] -#define __pyx_n_u_MA_Type___getitem __pyx_string_tab[300] -#define __pyx_n_u_MA_Type___init __pyx_string_tab[301] -#define __pyx_n_u_MEDPRICE __pyx_string_tab[302] -#define __pyx_n_u_MFI __pyx_string_tab[303] -#define __pyx_n_u_MIDPOINT __pyx_string_tab[304] -#define __pyx_n_u_MIDPRICE __pyx_string_tab[305] -#define __pyx_n_u_MIN __pyx_string_tab[306] -#define __pyx_n_u_MININDEX __pyx_string_tab[307] -#define __pyx_n_u_MINMAX __pyx_string_tab[308] -#define __pyx_n_u_MINMAXINDEX __pyx_string_tab[309] -#define __pyx_n_u_MINUS_DI __pyx_string_tab[310] -#define __pyx_n_u_MINUS_DM __pyx_string_tab[311] -#define __pyx_n_u_MOM __pyx_string_tab[312] -#define __pyx_n_u_MULT __pyx_string_tab[313] -#define __pyx_n_u_NATR __pyx_string_tab[314] -#define __pyx_n_u_NONE __pyx_string_tab[315] -#define __pyx_n_u_NVI __pyx_string_tab[316] -#define __pyx_n_u_Near __pyx_string_tab[317] -#define __pyx_n_u_OBV __pyx_string_tab[318] -#define __pyx_n_u_OrderedDict __pyx_string_tab[319] -#define __pyx_n_u_PANDAS_DATAFRAME __pyx_string_tab[320] -#define __pyx_n_u_PANDAS_SERIES __pyx_string_tab[321] -#define __pyx_n_u_PERCENTILE __pyx_string_tab[322] -#define __pyx_n_u_PERCENTRANK __pyx_string_tab[323] -#define __pyx_n_u_PLUS_DI __pyx_string_tab[324] -#define __pyx_n_u_PLUS_DM __pyx_string_tab[325] -#define __pyx_n_u_POLARS_DATAFRAME __pyx_string_tab[326] -#define __pyx_n_u_POLARS_SERIES __pyx_string_tab[327] -#define __pyx_n_u_PPO __pyx_string_tab[328] -#define __pyx_n_u_PVI __pyx_string_tab[329] -#define __pyx_n_u_PVO __pyx_string_tab[330] -#define __pyx_n_u_PVT __pyx_string_tab[331] -#define __pyx_n_u_Pyx_PyDict_NextRef __pyx_string_tab[332] -#define __pyx_n_u_QSTICK __pyx_string_tab[333] -#define __pyx_n_u_RMA __pyx_string_tab[334] -#define __pyx_n_u_ROC __pyx_string_tab[335] -#define __pyx_n_u_ROCP __pyx_string_tab[336] -#define __pyx_n_u_ROCR __pyx_string_tab[337] -#define __pyx_n_u_ROCR100 __pyx_string_tab[338] -#define __pyx_n_u_RSI __pyx_string_tab[339] -#define __pyx_n_u_RVI __pyx_string_tab[340] -#define __pyx_n_u_RVOL __pyx_string_tab[341] -#define __pyx_n_u_RangeType __pyx_string_tab[342] -#define __pyx_n_u_RealBody __pyx_string_tab[343] -#define __pyx_n_u_SAR __pyx_string_tab[344] -#define __pyx_n_u_SAREXT __pyx_string_tab[345] -#define __pyx_n_u_SIN __pyx_string_tab[346] -#define __pyx_n_u_SINH __pyx_string_tab[347] -#define __pyx_n_u_SMA __pyx_string_tab[348] -#define __pyx_n_u_SMI __pyx_string_tab[349] -#define __pyx_n_u_SQRT __pyx_string_tab[350] -#define __pyx_n_u_STDDEV __pyx_string_tab[351] -#define __pyx_n_u_STOCH __pyx_string_tab[352] -#define __pyx_n_u_STOCHF __pyx_string_tab[353] -#define __pyx_n_u_STOCHRSI __pyx_string_tab[354] -#define __pyx_n_u_SUB __pyx_string_tab[355] -#define __pyx_n_u_SUM __pyx_string_tab[356] -#define __pyx_n_u_SUPERTREND __pyx_string_tab[357] -#define __pyx_n_u_Series __pyx_string_tab[358] -#define __pyx_n_u_ShadowLong __pyx_string_tab[359] -#define __pyx_n_u_ShadowShort __pyx_string_tab[360] -#define __pyx_n_u_ShadowVeryLong __pyx_string_tab[361] -#define __pyx_n_u_ShadowVeryShort __pyx_string_tab[362] -#define __pyx_n_u_Shadows __pyx_string_tab[363] -#define __pyx_n_u_T3 __pyx_string_tab[364] -#define __pyx_n_u_TAN __pyx_string_tab[365] -#define __pyx_n_u_TANH __pyx_string_tab[366] -#define __pyx_n_u_TA_AC __pyx_string_tab[367] -#define __pyx_n_u_TA_ACCBANDS __pyx_string_tab[368] -#define __pyx_n_u_TA_ACOS __pyx_string_tab[369] -#define __pyx_n_u_TA_AD __pyx_string_tab[370] -#define __pyx_n_u_TA_ADD __pyx_string_tab[371] -#define __pyx_n_u_TA_ADOSC __pyx_string_tab[372] -#define __pyx_n_u_TA_ADR __pyx_string_tab[373] -#define __pyx_n_u_TA_ADX __pyx_string_tab[374] -#define __pyx_n_u_TA_ADXR __pyx_string_tab[375] -#define __pyx_n_u_TA_AO __pyx_string_tab[376] -#define __pyx_n_u_TA_APO __pyx_string_tab[377] -#define __pyx_n_u_TA_AROON __pyx_string_tab[378] -#define __pyx_n_u_TA_AROONOSC __pyx_string_tab[379] -#define __pyx_n_u_TA_ASIN __pyx_string_tab[380] -#define __pyx_n_u_TA_ATAN __pyx_string_tab[381] -#define __pyx_n_u_TA_ATR __pyx_string_tab[382] -#define __pyx_n_u_TA_AVGDEV __pyx_string_tab[383] -#define __pyx_n_u_TA_AVGPRICE __pyx_string_tab[384] -#define __pyx_n_u_TA_BBANDS __pyx_string_tab[385] -#define __pyx_n_u_TA_BETA __pyx_string_tab[386] -#define __pyx_n_u_TA_BOP __pyx_string_tab[387] -#define __pyx_n_u_TA_CCI __pyx_string_tab[388] -#define __pyx_n_u_TA_CDL2CROWS __pyx_string_tab[389] -#define __pyx_n_u_TA_CDL3BLACKCROWS __pyx_string_tab[390] -#define __pyx_n_u_TA_CDL3INSIDE __pyx_string_tab[391] -#define __pyx_n_u_TA_CDL3LINESTRIKE __pyx_string_tab[392] -#define __pyx_n_u_TA_CDL3OUTSIDE __pyx_string_tab[393] -#define __pyx_n_u_TA_CDL3STARSINSOUTH __pyx_string_tab[394] -#define __pyx_n_u_TA_CDL3WHITESOLDIERS __pyx_string_tab[395] -#define __pyx_n_u_TA_CDLABANDONEDBABY __pyx_string_tab[396] -#define __pyx_n_u_TA_CDLADVANCEBLOCK __pyx_string_tab[397] -#define __pyx_n_u_TA_CDLBELTHOLD __pyx_string_tab[398] -#define __pyx_n_u_TA_CDLBREAKAWAY __pyx_string_tab[399] -#define __pyx_n_u_TA_CDLCLOSINGMARUBOZU __pyx_string_tab[400] -#define __pyx_n_u_TA_CDLCONCEALBABYSWALL __pyx_string_tab[401] -#define __pyx_n_u_TA_CDLCOUNTERATTACK __pyx_string_tab[402] -#define __pyx_n_u_TA_CDLDARKCLOUDCOVER __pyx_string_tab[403] -#define __pyx_n_u_TA_CDLDOJI __pyx_string_tab[404] -#define __pyx_n_u_TA_CDLDOJISTAR __pyx_string_tab[405] -#define __pyx_n_u_TA_CDLDRAGONFLYDOJI __pyx_string_tab[406] -#define __pyx_n_u_TA_CDLENGULFING __pyx_string_tab[407] -#define __pyx_n_u_TA_CDLEVENINGDOJISTAR __pyx_string_tab[408] -#define __pyx_n_u_TA_CDLEVENINGSTAR __pyx_string_tab[409] -#define __pyx_n_u_TA_CDLGAPSIDESIDEWHITE __pyx_string_tab[410] -#define __pyx_n_u_TA_CDLGRAVESTONEDOJI __pyx_string_tab[411] -#define __pyx_n_u_TA_CDLHAMMER __pyx_string_tab[412] -#define __pyx_n_u_TA_CDLHANGINGMAN __pyx_string_tab[413] -#define __pyx_n_u_TA_CDLHARAMI __pyx_string_tab[414] -#define __pyx_n_u_TA_CDLHARAMICROSS __pyx_string_tab[415] -#define __pyx_n_u_TA_CDLHIGHWAVE __pyx_string_tab[416] -#define __pyx_n_u_TA_CDLHIKKAKE __pyx_string_tab[417] -#define __pyx_n_u_TA_CDLHIKKAKEMOD __pyx_string_tab[418] -#define __pyx_n_u_TA_CDLHOMINGPIGEON __pyx_string_tab[419] -#define __pyx_n_u_TA_CDLIDENTICAL3CROWS __pyx_string_tab[420] -#define __pyx_n_u_TA_CDLINNECK __pyx_string_tab[421] -#define __pyx_n_u_TA_CDLINVERTEDHAMMER __pyx_string_tab[422] -#define __pyx_n_u_TA_CDLKICKING __pyx_string_tab[423] -#define __pyx_n_u_TA_CDLKICKINGBYLENGTH __pyx_string_tab[424] -#define __pyx_n_u_TA_CDLLADDERBOTTOM __pyx_string_tab[425] -#define __pyx_n_u_TA_CDLLONGLEGGEDDOJI __pyx_string_tab[426] -#define __pyx_n_u_TA_CDLLONGLINE __pyx_string_tab[427] -#define __pyx_n_u_TA_CDLMARUBOZU __pyx_string_tab[428] -#define __pyx_n_u_TA_CDLMATCHINGLOW __pyx_string_tab[429] -#define __pyx_n_u_TA_CDLMATHOLD __pyx_string_tab[430] -#define __pyx_n_u_TA_CDLMORNINGDOJISTAR __pyx_string_tab[431] -#define __pyx_n_u_TA_CDLMORNINGSTAR __pyx_string_tab[432] -#define __pyx_n_u_TA_CDLONNECK __pyx_string_tab[433] -#define __pyx_n_u_TA_CDLPIERCING __pyx_string_tab[434] -#define __pyx_n_u_TA_CDLRICKSHAWMAN __pyx_string_tab[435] -#define __pyx_n_u_TA_CDLRISEFALL3METHODS __pyx_string_tab[436] -#define __pyx_n_u_TA_CDLSEPARATINGLINES __pyx_string_tab[437] -#define __pyx_n_u_TA_CDLSHOOTINGSTAR __pyx_string_tab[438] -#define __pyx_n_u_TA_CDLSHORTLINE __pyx_string_tab[439] -#define __pyx_n_u_TA_CDLSPINNINGTOP __pyx_string_tab[440] -#define __pyx_n_u_TA_CDLSTALLEDPATTERN __pyx_string_tab[441] -#define __pyx_n_u_TA_CDLSTICKSANDWICH __pyx_string_tab[442] -#define __pyx_n_u_TA_CDLTAKURI __pyx_string_tab[443] -#define __pyx_n_u_TA_CDLTASUKIGAP __pyx_string_tab[444] -#define __pyx_n_u_TA_CDLTHRUSTING __pyx_string_tab[445] -#define __pyx_n_u_TA_CDLTRISTAR __pyx_string_tab[446] -#define __pyx_n_u_TA_CDLUNIQUE3RIVER __pyx_string_tab[447] -#define __pyx_n_u_TA_CDLUPSIDEGAP2CROWS __pyx_string_tab[448] -#define __pyx_n_u_TA_CDLXSIDEGAP3METHODS __pyx_string_tab[449] -#define __pyx_n_u_TA_CEIL __pyx_string_tab[450] -#define __pyx_n_u_TA_CMF __pyx_string_tab[451] -#define __pyx_n_u_TA_CMO __pyx_string_tab[452] -#define __pyx_n_u_TA_CMOU __pyx_string_tab[453] -#define __pyx_n_u_TA_COPPOCK __pyx_string_tab[454] -#define __pyx_n_u_TA_CORREL __pyx_string_tab[455] -#define __pyx_n_u_TA_COS __pyx_string_tab[456] -#define __pyx_n_u_TA_COSH __pyx_string_tab[457] -#define __pyx_n_u_TA_CUMSUM __pyx_string_tab[458] -#define __pyx_n_u_TA_CVI __pyx_string_tab[459] -#define __pyx_n_u_TA_DEMA __pyx_string_tab[460] -#define __pyx_n_u_TA_DIV __pyx_string_tab[461] -#define __pyx_n_u_TA_DONCHIAN __pyx_string_tab[462] -#define __pyx_n_u_TA_DPO __pyx_string_tab[463] -#define __pyx_n_u_TA_DX __pyx_string_tab[464] -#define __pyx_n_u_TA_EFI __pyx_string_tab[465] -#define __pyx_n_u_TA_EMA __pyx_string_tab[466] -#define __pyx_n_u_TA_ER __pyx_string_tab[467] -#define __pyx_n_u_TA_ERI __pyx_string_tab[468] -#define __pyx_n_u_TA_EXP __pyx_string_tab[469] -#define __pyx_n_u_TA_FLOOR __pyx_string_tab[470] -#define __pyx_n_u_TA_FOSC __pyx_string_tab[471] -#define __pyx_n_u_TA_FRACTAL __pyx_string_tab[472] -#define __pyx_n_u_TA_FUNCTION_NAMES __pyx_string_tab[473] -#define __pyx_n_u_TA_FUNC_FLAGS __pyx_string_tab[474] -#define __pyx_n_u_TA_FuncTableAlloc __pyx_string_tab[475] -#define __pyx_n_u_TA_FuncTableFree __pyx_string_tab[476] -#define __pyx_n_u_TA_GetFuncHandle __pyx_string_tab[477] -#define __pyx_n_u_TA_GetFuncInfo __pyx_string_tab[478] -#define __pyx_n_u_TA_GetInputParameterInfo __pyx_string_tab[479] -#define __pyx_n_u_TA_GetLookback __pyx_string_tab[480] -#define __pyx_n_u_TA_GetOptInputParameterInfo __pyx_string_tab[481] -#define __pyx_n_u_TA_GetOutputParameterInfo __pyx_string_tab[482] -#define __pyx_n_u_TA_GroupTableAlloc __pyx_string_tab[483] -#define __pyx_n_u_TA_GroupTableFree __pyx_string_tab[484] -#define __pyx_n_u_TA_HA __pyx_string_tab[485] -#define __pyx_n_u_TA_HMA __pyx_string_tab[486] -#define __pyx_n_u_TA_HT_DCPERIOD __pyx_string_tab[487] -#define __pyx_n_u_TA_HT_DCPHASE __pyx_string_tab[488] -#define __pyx_n_u_TA_HT_PHASOR __pyx_string_tab[489] -#define __pyx_n_u_TA_HT_SINE __pyx_string_tab[490] -#define __pyx_n_u_TA_HT_TRENDLINE __pyx_string_tab[491] -#define __pyx_n_u_TA_HT_TRENDMODE __pyx_string_tab[492] -#define __pyx_n_u_TA_IMI __pyx_string_tab[493] -#define __pyx_n_u_TA_INPUT_FLAGS __pyx_string_tab[494] -#define __pyx_n_u_TA_Initialize __pyx_string_tab[495] -#define __pyx_n_u_TA_KAMA __pyx_string_tab[496] -#define __pyx_n_u_TA_KC __pyx_string_tab[497] -#define __pyx_n_u_TA_KDJ __pyx_string_tab[498] -#define __pyx_n_u_TA_LINEARREG __pyx_string_tab[499] -#define __pyx_n_u_TA_LINEARREG_ANGLE __pyx_string_tab[500] -#define __pyx_n_u_TA_LINEARREG_INTERCEPT __pyx_string_tab[501] -#define __pyx_n_u_TA_LINEARREG_SLOPE __pyx_string_tab[502] -#define __pyx_n_u_TA_LN __pyx_string_tab[503] -#define __pyx_n_u_TA_LOG10 __pyx_string_tab[504] -#define __pyx_n_u_TA_MA __pyx_string_tab[505] -#define __pyx_n_u_TA_MACD __pyx_string_tab[506] -#define __pyx_n_u_TA_MACDEXT __pyx_string_tab[507] -#define __pyx_n_u_TA_MACDFIX __pyx_string_tab[508] -#define __pyx_n_u_TA_MAMA __pyx_string_tab[509] -#define __pyx_n_u_TA_MARKETFI __pyx_string_tab[510] -#define __pyx_n_u_TA_MASSI __pyx_string_tab[511] -#define __pyx_n_u_TA_MAVP __pyx_string_tab[512] -#define __pyx_n_u_TA_MAX __pyx_string_tab[513] -#define __pyx_n_u_TA_MAXINDEX __pyx_string_tab[514] -#define __pyx_n_u_TA_MEDPRICE __pyx_string_tab[515] -#define __pyx_n_u_TA_MFI __pyx_string_tab[516] -#define __pyx_n_u_TA_MIDPOINT __pyx_string_tab[517] -#define __pyx_n_u_TA_MIDPRICE __pyx_string_tab[518] -#define __pyx_n_u_TA_MIN __pyx_string_tab[519] -#define __pyx_n_u_TA_MININDEX __pyx_string_tab[520] -#define __pyx_n_u_TA_MINMAX __pyx_string_tab[521] -#define __pyx_n_u_TA_MINMAXINDEX __pyx_string_tab[522] -#define __pyx_n_u_TA_MINUS_DI __pyx_string_tab[523] -#define __pyx_n_u_TA_MINUS_DM __pyx_string_tab[524] -#define __pyx_n_u_TA_MOM __pyx_string_tab[525] -#define __pyx_n_u_TA_MULT __pyx_string_tab[526] -#define __pyx_n_u_TA_NATR __pyx_string_tab[527] -#define __pyx_n_u_TA_NVI __pyx_string_tab[528] -#define __pyx_n_u_TA_OBV __pyx_string_tab[529] -#define __pyx_n_u_TA_OUTPUT_FLAGS __pyx_string_tab[530] -#define __pyx_n_u_TA_PERCENTILE __pyx_string_tab[531] -#define __pyx_n_u_TA_PERCENTRANK __pyx_string_tab[532] -#define __pyx_n_u_TA_PLUS_DI __pyx_string_tab[533] -#define __pyx_n_u_TA_PLUS_DM __pyx_string_tab[534] -#define __pyx_n_u_TA_PPO __pyx_string_tab[535] -#define __pyx_n_u_TA_PVI __pyx_string_tab[536] -#define __pyx_n_u_TA_PVO __pyx_string_tab[537] -#define __pyx_n_u_TA_PVT __pyx_string_tab[538] -#define __pyx_n_u_TA_ParamHolderAlloc __pyx_string_tab[539] -#define __pyx_n_u_TA_ParamHolderFree __pyx_string_tab[540] -#define __pyx_n_u_TA_QSTICK __pyx_string_tab[541] -#define __pyx_n_u_TA_RMA __pyx_string_tab[542] -#define __pyx_n_u_TA_ROC __pyx_string_tab[543] -#define __pyx_n_u_TA_ROCP __pyx_string_tab[544] -#define __pyx_n_u_TA_ROCR __pyx_string_tab[545] -#define __pyx_n_u_TA_ROCR100 __pyx_string_tab[546] -#define __pyx_n_u_TA_RSI __pyx_string_tab[547] -#define __pyx_n_u_TA_RVI __pyx_string_tab[548] -#define __pyx_n_u_TA_RVOL __pyx_string_tab[549] -#define __pyx_n_u_TA_RestoreCandleDefaultSettings __pyx_string_tab[550] -#define __pyx_n_u_TA_SAR __pyx_string_tab[551] -#define __pyx_n_u_TA_SAREXT __pyx_string_tab[552] -#define __pyx_n_u_TA_SIN __pyx_string_tab[553] -#define __pyx_n_u_TA_SINH __pyx_string_tab[554] -#define __pyx_n_u_TA_SMA __pyx_string_tab[555] -#define __pyx_n_u_TA_SMI __pyx_string_tab[556] -#define __pyx_n_u_TA_SQRT __pyx_string_tab[557] -#define __pyx_n_u_TA_STDDEV __pyx_string_tab[558] -#define __pyx_n_u_TA_STOCH __pyx_string_tab[559] -#define __pyx_n_u_TA_STOCHF __pyx_string_tab[560] -#define __pyx_n_u_TA_STOCHRSI __pyx_string_tab[561] -#define __pyx_n_u_TA_SUB __pyx_string_tab[562] -#define __pyx_n_u_TA_SUM __pyx_string_tab[563] -#define __pyx_n_u_TA_SUPERTREND __pyx_string_tab[564] -#define __pyx_n_u_TA_SetCandleSettings __pyx_string_tab[565] -#define __pyx_n_u_TA_SetCompatibility __pyx_string_tab[566] -#define __pyx_n_u_TA_SetOptInputParamInteger __pyx_string_tab[567] -#define __pyx_n_u_TA_SetOptInputParamReal __pyx_string_tab[568] -#define __pyx_n_u_TA_SetUnstablePeriod __pyx_string_tab[569] -#define __pyx_n_u_TA_Shutdown __pyx_string_tab[570] -#define __pyx_n_u_TA_T3 __pyx_string_tab[571] -#define __pyx_n_u_TA_TAN __pyx_string_tab[572] -#define __pyx_n_u_TA_TANH __pyx_string_tab[573] -#define __pyx_n_u_TA_TEMA __pyx_string_tab[574] -#define __pyx_n_u_TA_TRANGE __pyx_string_tab[575] -#define __pyx_n_u_TA_TRIMA __pyx_string_tab[576] -#define __pyx_n_u_TA_TRIX __pyx_string_tab[577] -#define __pyx_n_u_TA_TSF __pyx_string_tab[578] -#define __pyx_n_u_TA_TSI __pyx_string_tab[579] -#define __pyx_n_u_TA_TYPPRICE __pyx_string_tab[580] -#define __pyx_n_u_TA_ULTOSC __pyx_string_tab[581] -#define __pyx_n_u_TA_VAR __pyx_string_tab[582] -#define __pyx_n_u_TA_VHF __pyx_string_tab[583] -#define __pyx_n_u_TA_VORTEX __pyx_string_tab[584] -#define __pyx_n_u_TA_VWAP __pyx_string_tab[585] -#define __pyx_n_u_TA_VWMA __pyx_string_tab[586] -#define __pyx_n_u_TA_WAD __pyx_string_tab[587] -#define __pyx_n_u_TA_WCLPRICE __pyx_string_tab[588] -#define __pyx_n_u_TA_WILLR __pyx_string_tab[589] -#define __pyx_n_u_TA_WMA __pyx_string_tab[590] -#define __pyx_n_u_TA_ZLEMA __pyx_string_tab[591] -#define __pyx_n_u_TEMA __pyx_string_tab[592] -#define __pyx_n_u_TRANGE __pyx_string_tab[593] -#define __pyx_n_u_TRIMA __pyx_string_tab[594] -#define __pyx_n_u_TRIX __pyx_string_tab[595] -#define __pyx_n_u_TSF __pyx_string_tab[596] -#define __pyx_n_u_TSI __pyx_string_tab[597] -#define __pyx_n_u_TYPPRICE __pyx_string_tab[598] -#define __pyx_n_u_ULTOSC __pyx_string_tab[599] -#define __pyx_n_u_VAR __pyx_string_tab[600] -#define __pyx_n_u_VHF __pyx_string_tab[601] -#define __pyx_n_u_VORTEX __pyx_string_tab[602] -#define __pyx_n_u_VWAP __pyx_string_tab[603] -#define __pyx_n_u_VWMA __pyx_string_tab[604] -#define __pyx_n_u_WAD __pyx_string_tab[605] -#define __pyx_n_u_WCLPRICE __pyx_string_tab[606] -#define __pyx_n_u_WILLR __pyx_string_tab[607] -#define __pyx_n_u_WMA __pyx_string_tab[608] -#define __pyx_n_u_ZLEMA __pyx_string_tab[609] -#define __pyx_n_u_acceleration __pyx_string_tab[610] -#define __pyx_n_u_accelerationinitlong __pyx_string_tab[611] -#define __pyx_n_u_accelerationinitshort __pyx_string_tab[612] -#define __pyx_n_u_accelerationlong __pyx_string_tab[613] -#define __pyx_n_u_accelerationmaxlong __pyx_string_tab[614] -#define __pyx_n_u_accelerationmaxshort __pyx_string_tab[615] -#define __pyx_n_u_accelerationshort __pyx_string_tab[616] -#define __pyx_n_u_all __pyx_string_tab[617] -#define __pyx_n_u_annotate __pyx_string_tab[618] -#define __pyx_n_u_append __pyx_string_tab[619] -#define __pyx_n_u_arg __pyx_string_tab[620] -#define __pyx_n_u_args __pyx_string_tab[621] -#define __pyx_n_u_ascii __pyx_string_tab[622] -#define __pyx_n_u_astype __pyx_string_tab[623] -#define __pyx_n_u_asyncio_coroutines __pyx_string_tab[624] -#define __pyx_n_u_atrperiod __pyx_string_tab[625] -#define __pyx_n_u_avgperiod __pyx_string_tab[626] -#define __pyx_n_u_b __pyx_string_tab[627] -#define __pyx_n_u_begidx __pyx_string_tab[628] -#define __pyx_n_u_bit __pyx_string_tab[629] -#define __pyx_n_u_bytes2str __pyx_string_tab[630] -#define __pyx_n_u_call __pyx_string_tab[631] -#define __pyx_n_u_call_function __pyx_string_tab[632] -#define __pyx_n_u_candlestick __pyx_string_tab[633] -#define __pyx_n_u_check_opt_input_value __pyx_string_tab[634] -#define __pyx_n_u_class_getitem __pyx_string_tab[635] -#define __pyx_n_u_cline_in_traceback __pyx_string_tab[636] -#define __pyx_n_u_clone __pyx_string_tab[637] -#define __pyx_n_u_close __pyx_string_tab[638] -#define __pyx_n_u_close_data __pyx_string_tab[639] -#define __pyx_n_u_collections __pyx_string_tab[640] -#define __pyx_n_u_column_stack __pyx_string_tab[641] -#define __pyx_n_u_columns __pyx_string_tab[642] -#define __pyx_n_u_copy __pyx_string_tab[643] -#define __pyx_n_u_d __pyx_string_tab[644] -#define __pyx_n_u_decode __pyx_string_tab[645] -#define __pyx_n_u_default_value __pyx_string_tab[646] -#define __pyx_n_u_defaults __pyx_string_tab[647] -#define __pyx_n_u_description __pyx_string_tab[648] -#define __pyx_n_u_display_name __pyx_string_tab[649] -#define __pyx_n_u_doc __pyx_string_tab[650] -#define __pyx_n_u_docs __pyx_string_tab[651] -#define __pyx_n_u_documentation __pyx_string_tab[652] -#define __pyx_n_u_empty __pyx_string_tab[653] -#define __pyx_n_u_endidx __pyx_string_tab[654] -#define __pyx_n_u_endswith __pyx_string_tab[655] -#define __pyx_n_u_enumerate __pyx_string_tab[656] -#define __pyx_n_u_factor __pyx_string_tab[657] -#define __pyx_n_u_fastd_matype __pyx_string_tab[658] -#define __pyx_n_u_fastd_period __pyx_string_tab[659] -#define __pyx_n_u_fastk_period __pyx_string_tab[660] -#define __pyx_n_u_fastlimit __pyx_string_tab[661] -#define __pyx_n_u_fastmatype __pyx_string_tab[662] -#define __pyx_n_u_fastperiod __pyx_string_tab[663] -#define __pyx_n_u_firstperiod __pyx_string_tab[664] -#define __pyx_n_u_flag __pyx_string_tab[665] -#define __pyx_n_u_flags __pyx_string_tab[666] -#define __pyx_n_u_flags_lookup_dict __pyx_string_tab[667] -#define __pyx_n_u_func __pyx_string_tab[668] -#define __pyx_n_u_func_args __pyx_string_tab[669] -#define __pyx_n_u_func_info __pyx_string_tab[670] -#define __pyx_n_u_func_line __pyx_string_tab[671] -#define __pyx_n_u_func_object __pyx_string_tab[672] -#define __pyx_n_u_function_flags __pyx_string_tab[673] -#define __pyx_n_u_function_name __pyx_string_tab[674] -#define __pyx_n_u_functions __pyx_string_tab[675] -#define __pyx_n_u_get_defaults_and_docs __pyx_string_tab[676] -#define __pyx_n_u_get_flags __pyx_string_tab[677] -#define __pyx_n_u_get_input_arrays __pyx_string_tab[678] -#define __pyx_n_u_get_input_names __pyx_string_tab[679] -#define __pyx_n_u_get_opt_input_value __pyx_string_tab[680] -#define __pyx_n_u_get_parameters __pyx_string_tab[681] -#define __pyx_n_u_getitem __pyx_string_tab[682] -#define __pyx_n_u_group __pyx_string_tab[683] -#define __pyx_n_u_groups __pyx_string_tab[684] -#define __pyx_n_u_help __pyx_string_tab[685] -#define __pyx_n_u_high __pyx_string_tab[686] -#define __pyx_n_u_high_data __pyx_string_tab[687] -#define __pyx_n_u_holder __pyx_string_tab[688] -#define __pyx_n_u_i __pyx_string_tab[689] -#define __pyx_n_u_id __pyx_string_tab[690] -#define __pyx_n_u_idx __pyx_string_tab[691] -#define __pyx_n_u_import_error __pyx_string_tab[692] -#define __pyx_n_u_in __pyx_string_tab[693] -#define __pyx_n_u_index __pyx_string_tab[694] -#define __pyx_n_u_info __pyx_string_tab[695] -#define __pyx_n_u_init __pyx_string_tab[696] -#define __pyx_n_u_input_arrays __pyx_string_tab[697] -#define __pyx_n_u_input_name __pyx_string_tab[698] -#define __pyx_n_u_input_names __pyx_string_tab[699] -#define __pyx_n_u_input_price_series_names __pyx_string_tab[700] -#define __pyx_n_u_input_price_series_names_2 __pyx_string_tab[701] -#define __pyx_n_u_integer __pyx_string_tab[702] -#define __pyx_n_u_is_coroutine __pyx_string_tab[703] -#define __pyx_n_u_is_empty __pyx_string_tab[704] -#define __pyx_n_u_items __pyx_string_tab[705] -#define __pyx_n_u_key __pyx_string_tab[706] -#define __pyx_n_u_keys __pyx_string_tab[707] -#define __pyx_n_u_kwargs __pyx_string_tab[708] -#define __pyx_n_u_leftbars __pyx_string_tab[709] -#define __pyx_n_u_length __pyx_string_tab[710] -#define __pyx_n_u_local __pyx_string_tab[711] -#define __pyx_n_u_local_2 __pyx_string_tab[712] -#define __pyx_n_u_lookback __pyx_string_tab[713] -#define __pyx_n_u_lookup __pyx_string_tab[714] -#define __pyx_n_u_low __pyx_string_tab[715] -#define __pyx_n_u_low_data __pyx_string_tab[716] -#define __pyx_n_u_lower __pyx_string_tab[717] -#define __pyx_n_u_main __pyx_string_tab[718] -#define __pyx_n_u_matype __pyx_string_tab[719] -#define __pyx_n_u_maximum __pyx_string_tab[720] -#define __pyx_n_u_maxperiod __pyx_string_tab[721] -#define __pyx_n_u_metaclass __pyx_string_tab[722] -#define __pyx_n_u_minperiod __pyx_string_tab[723] -#define __pyx_n_u_missing __pyx_string_tab[724] -#define __pyx_n_u_missing_keys __pyx_string_tab[725] -#define __pyx_n_u_module __pyx_string_tab[726] -#define __pyx_n_u_mro_entries __pyx_string_tab[727] -#define __pyx_n_u_msg __pyx_string_tab[728] -#define __pyx_n_u_multiplier __pyx_string_tab[729] -#define __pyx_n_u_n __pyx_string_tab[730] -#define __pyx_n_u_name __pyx_string_tab[731] -#define __pyx_n_u_name_2 __pyx_string_tab[732] -#define __pyx_n_u_nan __pyx_string_tab[733] -#define __pyx_n_u_nbdev __pyx_string_tab[734] -#define __pyx_n_u_nbdevdn __pyx_string_tab[735] -#define __pyx_n_u_nbdevup __pyx_string_tab[736] -#define __pyx_n_u_no_existing_input_arrays __pyx_string_tab[737] -#define __pyx_n_u_num_inputs __pyx_string_tab[738] -#define __pyx_n_u_num_opt_inputs __pyx_string_tab[739] -#define __pyx_n_u_num_outputs __pyx_string_tab[740] -#define __pyx_n_u_numpy __pyx_string_tab[741] -#define __pyx_n_u_object __pyx_string_tab[742] -#define __pyx_n_u_offsetonreverse __pyx_string_tab[743] -#define __pyx_n_u_open __pyx_string_tab[744] -#define __pyx_n_u_openInterest __pyx_string_tab[745] -#define __pyx_n_u_open_data __pyx_string_tab[746] -#define __pyx_n_u_optIn __pyx_string_tab[747] -#define __pyx_n_u_opt_input __pyx_string_tab[748] -#define __pyx_n_u_opt_input_values __pyx_string_tab[749] -#define __pyx_n_u_opt_inputs __pyx_string_tab[750] -#define __pyx_n_u_ordereddict __pyx_string_tab[751] -#define __pyx_n_u_out __pyx_string_tab[752] -#define __pyx_n_u_outaroondown __pyx_string_tab[753] -#define __pyx_n_u_outaroonup __pyx_string_tab[754] -#define __pyx_n_u_outbearpower __pyx_string_tab[755] -#define __pyx_n_u_outbegidx __pyx_string_tab[756] -#define __pyx_n_u_outbullpower __pyx_string_tab[757] -#define __pyx_n_u_outd __pyx_string_tab[758] -#define __pyx_n_u_outfama __pyx_string_tab[759] -#define __pyx_n_u_outfastd __pyx_string_tab[760] -#define __pyx_n_u_outfastk __pyx_string_tab[761] -#define __pyx_n_u_outhaclose __pyx_string_tab[762] -#define __pyx_n_u_outhahigh __pyx_string_tab[763] -#define __pyx_n_u_outhalow __pyx_string_tab[764] -#define __pyx_n_u_outhaopen __pyx_string_tab[765] -#define __pyx_n_u_outinphase __pyx_string_tab[766] -#define __pyx_n_u_outinteger __pyx_string_tab[767] -#define __pyx_n_u_outinteger_data __pyx_string_tab[768] -#define __pyx_n_u_outj __pyx_string_tab[769] -#define __pyx_n_u_outk __pyx_string_tab[770] -#define __pyx_n_u_outleadsine __pyx_string_tab[771] -#define __pyx_n_u_outmacd __pyx_string_tab[772] -#define __pyx_n_u_outmacdhist __pyx_string_tab[773] -#define __pyx_n_u_outmacdsignal __pyx_string_tab[774] -#define __pyx_n_u_outmama __pyx_string_tab[775] -#define __pyx_n_u_outmax __pyx_string_tab[776] -#define __pyx_n_u_outmaxidx __pyx_string_tab[777] -#define __pyx_n_u_outmaxidx_data __pyx_string_tab[778] -#define __pyx_n_u_outmin __pyx_string_tab[779] -#define __pyx_n_u_outminidx __pyx_string_tab[780] -#define __pyx_n_u_outminidx_data __pyx_string_tab[781] -#define __pyx_n_u_outminusvi __pyx_string_tab[782] -#define __pyx_n_u_outnbelement __pyx_string_tab[783] -#define __pyx_n_u_outplusvi __pyx_string_tab[784] -#define __pyx_n_u_output __pyx_string_tab[785] -#define __pyx_n_u_output_flags __pyx_string_tab[786] -#define __pyx_n_u_output_name __pyx_string_tab[787] -#define __pyx_n_u_output_names __pyx_string_tab[788] -#define __pyx_n_u_outputs __pyx_string_tab[789] -#define __pyx_n_u_outputs_valid __pyx_string_tab[790] -#define __pyx_n_u_outquadrature __pyx_string_tab[791] -#define __pyx_n_u_outreal __pyx_string_tab[792] -#define __pyx_n_u_outreallowerband __pyx_string_tab[793] -#define __pyx_n_u_outrealmiddleband __pyx_string_tab[794] -#define __pyx_n_u_outrealupperband __pyx_string_tab[795] -#define __pyx_n_u_outsine __pyx_string_tab[796] -#define __pyx_n_u_outslowd __pyx_string_tab[797] -#define __pyx_n_u_outslowk __pyx_string_tab[798] -#define __pyx_n_u_outsmi __pyx_string_tab[799] -#define __pyx_n_u_outsmisignal __pyx_string_tab[800] -#define __pyx_n_u_outswinghigh __pyx_string_tab[801] -#define __pyx_n_u_outswinglow __pyx_string_tab[802] -#define __pyx_n_u_pandas __pyx_string_tab[803] -#define __pyx_n_u_param __pyx_string_tab[804] -#define __pyx_n_u_param_name __pyx_string_tab[805] -#define __pyx_n_u_parameters __pyx_string_tab[806] -#define __pyx_n_u_params __pyx_string_tab[807] -#define __pyx_n_u_penetration __pyx_string_tab[808] -#define __pyx_n_u_percentile __pyx_string_tab[809] -#define __pyx_n_u_period __pyx_string_tab[810] -#define __pyx_n_u_periods __pyx_string_tab[811] -#define __pyx_n_u_periods_data __pyx_string_tab[812] -#define __pyx_n_u_polars __pyx_string_tab[813] -#define __pyx_n_u_pop __pyx_string_tab[814] -#define __pyx_n_u_prepare __pyx_string_tab[815] -#define __pyx_n_u_price __pyx_string_tab[816] -#define __pyx_n_u_price0 __pyx_string_tab[817] -#define __pyx_n_u_price1 __pyx_string_tab[818] -#define __pyx_n_u_price_series __pyx_string_tab[819] -#define __pyx_n_u_price_series_name_values __pyx_string_tab[820] -#define __pyx_n_u_prices __pyx_string_tab[821] -#define __pyx_n_u_property __pyx_string_tab[822] -#define __pyx_n_u_qualname __pyx_string_tab[823] -#define __pyx_n_u_rangetype __pyx_string_tab[824] -#define __pyx_n_u_real __pyx_string_tab[825] -#define __pyx_n_u_real0 __pyx_string_tab[826] -#define __pyx_n_u_real0_data __pyx_string_tab[827] -#define __pyx_n_u_real1 __pyx_string_tab[828] -#define __pyx_n_u_real1_data __pyx_string_tab[829] -#define __pyx_n_u_real_data __pyx_string_tab[830] -#define __pyx_n_u_replace __pyx_string_tab[831] -#define __pyx_n_u_repr __pyx_string_tab[832] -#define __pyx_n_u_results __pyx_string_tab[833] -#define __pyx_n_u_ret __pyx_string_tab[834] -#define __pyx_n_u_retCode __pyx_string_tab[835] -#define __pyx_n_u_ret_code __pyx_string_tab[836] -#define __pyx_n_u_rightbars __pyx_string_tab[837] -#define __pyx_n_u_roc1period __pyx_string_tab[838] -#define __pyx_n_u_roc2period __pyx_string_tab[839] -#define __pyx_n_u_rocperiod __pyx_string_tab[840] -#define __pyx_n_u_run __pyx_string_tab[841] -#define __pyx_n_u_s __pyx_string_tab[842] -#define __pyx_n_u_schema __pyx_string_tab[843] -#define __pyx_n_u_secondperiod __pyx_string_tab[844] -#define __pyx_n_u_self __pyx_string_tab[845] -#define __pyx_n_u_series __pyx_string_tab[846] -#define __pyx_n_u_set_function_args __pyx_string_tab[847] -#define __pyx_n_u_set_input_arrays __pyx_string_tab[848] -#define __pyx_n_u_set_input_names __pyx_string_tab[849] -#define __pyx_n_u_set_name __pyx_string_tab[850] -#define __pyx_n_u_set_parameters __pyx_string_tab[851] -#define __pyx_n_u_setdefault __pyx_string_tab[852] -#define __pyx_n_u_settingtype __pyx_string_tab[853] -#define __pyx_n_u_signalmatype __pyx_string_tab[854] -#define __pyx_n_u_signalperiod __pyx_string_tab[855] -#define __pyx_n_u_skip_first __pyx_string_tab[856] -#define __pyx_n_u_slowd_matype __pyx_string_tab[857] -#define __pyx_n_u_slowd_period __pyx_string_tab[858] -#define __pyx_n_u_slowk_matype __pyx_string_tab[859] -#define __pyx_n_u_slowk_period __pyx_string_tab[860] -#define __pyx_n_u_slowlimit __pyx_string_tab[861] -#define __pyx_n_u_slowmatype __pyx_string_tab[862] -#define __pyx_n_u_slowperiod __pyx_string_tab[863] -#define __pyx_n_u_stacklevel __pyx_string_tab[864] -#define __pyx_n_u_startvalue __pyx_string_tab[865] -#define __pyx_n_u_stddevperiod __pyx_string_tab[866] -#define __pyx_n_u_str __pyx_string_tab[867] -#define __pyx_n_u_str2bytes __pyx_string_tab[868] -#define __pyx_n_u_stream_AC __pyx_string_tab[869] -#define __pyx_n_u_stream_ACCBANDS __pyx_string_tab[870] -#define __pyx_n_u_stream_ACOS __pyx_string_tab[871] -#define __pyx_n_u_stream_AD __pyx_string_tab[872] -#define __pyx_n_u_stream_ADD __pyx_string_tab[873] -#define __pyx_n_u_stream_ADOSC __pyx_string_tab[874] -#define __pyx_n_u_stream_ADR __pyx_string_tab[875] -#define __pyx_n_u_stream_ADX __pyx_string_tab[876] -#define __pyx_n_u_stream_ADXR __pyx_string_tab[877] -#define __pyx_n_u_stream_AO __pyx_string_tab[878] -#define __pyx_n_u_stream_APO __pyx_string_tab[879] -#define __pyx_n_u_stream_AROON __pyx_string_tab[880] -#define __pyx_n_u_stream_AROONOSC __pyx_string_tab[881] -#define __pyx_n_u_stream_ASIN __pyx_string_tab[882] -#define __pyx_n_u_stream_ATAN __pyx_string_tab[883] -#define __pyx_n_u_stream_ATR __pyx_string_tab[884] -#define __pyx_n_u_stream_AVGDEV __pyx_string_tab[885] -#define __pyx_n_u_stream_AVGPRICE __pyx_string_tab[886] -#define __pyx_n_u_stream_BBANDS __pyx_string_tab[887] -#define __pyx_n_u_stream_BETA __pyx_string_tab[888] -#define __pyx_n_u_stream_BOP __pyx_string_tab[889] -#define __pyx_n_u_stream_CCI __pyx_string_tab[890] -#define __pyx_n_u_stream_CDL2CROWS __pyx_string_tab[891] -#define __pyx_n_u_stream_CDL3BLACKCROWS __pyx_string_tab[892] -#define __pyx_n_u_stream_CDL3INSIDE __pyx_string_tab[893] -#define __pyx_n_u_stream_CDL3LINESTRIKE __pyx_string_tab[894] -#define __pyx_n_u_stream_CDL3OUTSIDE __pyx_string_tab[895] -#define __pyx_n_u_stream_CDL3STARSINSOUTH __pyx_string_tab[896] -#define __pyx_n_u_stream_CDL3WHITESOLDIERS __pyx_string_tab[897] -#define __pyx_n_u_stream_CDLABANDONEDBABY __pyx_string_tab[898] -#define __pyx_n_u_stream_CDLADVANCEBLOCK __pyx_string_tab[899] -#define __pyx_n_u_stream_CDLBELTHOLD __pyx_string_tab[900] -#define __pyx_n_u_stream_CDLBREAKAWAY __pyx_string_tab[901] -#define __pyx_n_u_stream_CDLCLOSINGMARUBOZU __pyx_string_tab[902] -#define __pyx_n_u_stream_CDLCONCEALBABYSWALL __pyx_string_tab[903] -#define __pyx_n_u_stream_CDLCOUNTERATTACK __pyx_string_tab[904] -#define __pyx_n_u_stream_CDLDARKCLOUDCOVER __pyx_string_tab[905] -#define __pyx_n_u_stream_CDLDOJI __pyx_string_tab[906] -#define __pyx_n_u_stream_CDLDOJISTAR __pyx_string_tab[907] -#define __pyx_n_u_stream_CDLDRAGONFLYDOJI __pyx_string_tab[908] -#define __pyx_n_u_stream_CDLENGULFING __pyx_string_tab[909] -#define __pyx_n_u_stream_CDLEVENINGDOJISTAR __pyx_string_tab[910] -#define __pyx_n_u_stream_CDLEVENINGSTAR __pyx_string_tab[911] -#define __pyx_n_u_stream_CDLGAPSIDESIDEWHITE __pyx_string_tab[912] -#define __pyx_n_u_stream_CDLGRAVESTONEDOJI __pyx_string_tab[913] -#define __pyx_n_u_stream_CDLHAMMER __pyx_string_tab[914] -#define __pyx_n_u_stream_CDLHANGINGMAN __pyx_string_tab[915] -#define __pyx_n_u_stream_CDLHARAMI __pyx_string_tab[916] -#define __pyx_n_u_stream_CDLHARAMICROSS __pyx_string_tab[917] -#define __pyx_n_u_stream_CDLHIGHWAVE __pyx_string_tab[918] -#define __pyx_n_u_stream_CDLHIKKAKE __pyx_string_tab[919] -#define __pyx_n_u_stream_CDLHIKKAKEMOD __pyx_string_tab[920] -#define __pyx_n_u_stream_CDLHOMINGPIGEON __pyx_string_tab[921] -#define __pyx_n_u_stream_CDLIDENTICAL3CROWS __pyx_string_tab[922] -#define __pyx_n_u_stream_CDLINNECK __pyx_string_tab[923] -#define __pyx_n_u_stream_CDLINVERTEDHAMMER __pyx_string_tab[924] -#define __pyx_n_u_stream_CDLKICKING __pyx_string_tab[925] -#define __pyx_n_u_stream_CDLKICKINGBYLENGTH __pyx_string_tab[926] -#define __pyx_n_u_stream_CDLLADDERBOTTOM __pyx_string_tab[927] -#define __pyx_n_u_stream_CDLLONGLEGGEDDOJI __pyx_string_tab[928] -#define __pyx_n_u_stream_CDLLONGLINE __pyx_string_tab[929] -#define __pyx_n_u_stream_CDLMARUBOZU __pyx_string_tab[930] -#define __pyx_n_u_stream_CDLMATCHINGLOW __pyx_string_tab[931] -#define __pyx_n_u_stream_CDLMATHOLD __pyx_string_tab[932] -#define __pyx_n_u_stream_CDLMORNINGDOJISTAR __pyx_string_tab[933] -#define __pyx_n_u_stream_CDLMORNINGSTAR __pyx_string_tab[934] -#define __pyx_n_u_stream_CDLONNECK __pyx_string_tab[935] -#define __pyx_n_u_stream_CDLPIERCING __pyx_string_tab[936] -#define __pyx_n_u_stream_CDLRICKSHAWMAN __pyx_string_tab[937] -#define __pyx_n_u_stream_CDLRISEFALL3METHODS __pyx_string_tab[938] -#define __pyx_n_u_stream_CDLSEPARATINGLINES __pyx_string_tab[939] -#define __pyx_n_u_stream_CDLSHOOTINGSTAR __pyx_string_tab[940] -#define __pyx_n_u_stream_CDLSHORTLINE __pyx_string_tab[941] -#define __pyx_n_u_stream_CDLSPINNINGTOP __pyx_string_tab[942] -#define __pyx_n_u_stream_CDLSTALLEDPATTERN __pyx_string_tab[943] -#define __pyx_n_u_stream_CDLSTICKSANDWICH __pyx_string_tab[944] -#define __pyx_n_u_stream_CDLTAKURI __pyx_string_tab[945] -#define __pyx_n_u_stream_CDLTASUKIGAP __pyx_string_tab[946] -#define __pyx_n_u_stream_CDLTHRUSTING __pyx_string_tab[947] -#define __pyx_n_u_stream_CDLTRISTAR __pyx_string_tab[948] -#define __pyx_n_u_stream_CDLUNIQUE3RIVER __pyx_string_tab[949] -#define __pyx_n_u_stream_CDLUPSIDEGAP2CROWS __pyx_string_tab[950] -#define __pyx_n_u_stream_CDLXSIDEGAP3METHODS __pyx_string_tab[951] -#define __pyx_n_u_stream_CEIL __pyx_string_tab[952] -#define __pyx_n_u_stream_CMF __pyx_string_tab[953] -#define __pyx_n_u_stream_CMO __pyx_string_tab[954] -#define __pyx_n_u_stream_CMOU __pyx_string_tab[955] -#define __pyx_n_u_stream_COPPOCK __pyx_string_tab[956] -#define __pyx_n_u_stream_CORREL __pyx_string_tab[957] -#define __pyx_n_u_stream_COS __pyx_string_tab[958] -#define __pyx_n_u_stream_COSH __pyx_string_tab[959] -#define __pyx_n_u_stream_CUMSUM __pyx_string_tab[960] -#define __pyx_n_u_stream_CVI __pyx_string_tab[961] -#define __pyx_n_u_stream_DEMA __pyx_string_tab[962] -#define __pyx_n_u_stream_DIV __pyx_string_tab[963] -#define __pyx_n_u_stream_DONCHIAN __pyx_string_tab[964] -#define __pyx_n_u_stream_DPO __pyx_string_tab[965] -#define __pyx_n_u_stream_DX __pyx_string_tab[966] -#define __pyx_n_u_stream_EFI __pyx_string_tab[967] -#define __pyx_n_u_stream_EMA __pyx_string_tab[968] -#define __pyx_n_u_stream_ER __pyx_string_tab[969] -#define __pyx_n_u_stream_ERI __pyx_string_tab[970] -#define __pyx_n_u_stream_EXP __pyx_string_tab[971] -#define __pyx_n_u_stream_FLOOR __pyx_string_tab[972] -#define __pyx_n_u_stream_FOSC __pyx_string_tab[973] -#define __pyx_n_u_stream_FRACTAL __pyx_string_tab[974] -#define __pyx_n_u_stream_HA __pyx_string_tab[975] -#define __pyx_n_u_stream_HMA __pyx_string_tab[976] -#define __pyx_n_u_stream_HT_DCPERIOD __pyx_string_tab[977] -#define __pyx_n_u_stream_HT_DCPHASE __pyx_string_tab[978] -#define __pyx_n_u_stream_HT_PHASOR __pyx_string_tab[979] -#define __pyx_n_u_stream_HT_SINE __pyx_string_tab[980] -#define __pyx_n_u_stream_HT_TRENDLINE __pyx_string_tab[981] -#define __pyx_n_u_stream_HT_TRENDMODE __pyx_string_tab[982] -#define __pyx_n_u_stream_IMI __pyx_string_tab[983] -#define __pyx_n_u_stream_KAMA __pyx_string_tab[984] -#define __pyx_n_u_stream_KC __pyx_string_tab[985] -#define __pyx_n_u_stream_KDJ __pyx_string_tab[986] -#define __pyx_n_u_stream_LINEARREG __pyx_string_tab[987] -#define __pyx_n_u_stream_LINEARREG_ANGLE __pyx_string_tab[988] -#define __pyx_n_u_stream_LINEARREG_INTERCEPT __pyx_string_tab[989] -#define __pyx_n_u_stream_LINEARREG_SLOPE __pyx_string_tab[990] -#define __pyx_n_u_stream_LN __pyx_string_tab[991] -#define __pyx_n_u_stream_LOG10 __pyx_string_tab[992] -#define __pyx_n_u_stream_MA __pyx_string_tab[993] -#define __pyx_n_u_stream_MACD __pyx_string_tab[994] -#define __pyx_n_u_stream_MACDEXT __pyx_string_tab[995] -#define __pyx_n_u_stream_MACDFIX __pyx_string_tab[996] -#define __pyx_n_u_stream_MAMA __pyx_string_tab[997] -#define __pyx_n_u_stream_MARKETFI __pyx_string_tab[998] -#define __pyx_n_u_stream_MASSI __pyx_string_tab[999] -#define __pyx_n_u_stream_MAVP __pyx_string_tab[1000] -#define __pyx_n_u_stream_MAX __pyx_string_tab[1001] -#define __pyx_n_u_stream_MAXINDEX __pyx_string_tab[1002] -#define __pyx_n_u_stream_MEDPRICE __pyx_string_tab[1003] -#define __pyx_n_u_stream_MFI __pyx_string_tab[1004] -#define __pyx_n_u_stream_MIDPOINT __pyx_string_tab[1005] -#define __pyx_n_u_stream_MIDPRICE __pyx_string_tab[1006] -#define __pyx_n_u_stream_MIN __pyx_string_tab[1007] -#define __pyx_n_u_stream_MININDEX __pyx_string_tab[1008] -#define __pyx_n_u_stream_MINMAX __pyx_string_tab[1009] -#define __pyx_n_u_stream_MINMAXINDEX __pyx_string_tab[1010] -#define __pyx_n_u_stream_MINUS_DI __pyx_string_tab[1011] -#define __pyx_n_u_stream_MINUS_DM __pyx_string_tab[1012] -#define __pyx_n_u_stream_MOM __pyx_string_tab[1013] -#define __pyx_n_u_stream_MULT __pyx_string_tab[1014] -#define __pyx_n_u_stream_NATR __pyx_string_tab[1015] -#define __pyx_n_u_stream_NVI __pyx_string_tab[1016] -#define __pyx_n_u_stream_OBV __pyx_string_tab[1017] -#define __pyx_n_u_stream_PERCENTILE __pyx_string_tab[1018] -#define __pyx_n_u_stream_PERCENTRANK __pyx_string_tab[1019] -#define __pyx_n_u_stream_PLUS_DI __pyx_string_tab[1020] -#define __pyx_n_u_stream_PLUS_DM __pyx_string_tab[1021] -#define __pyx_n_u_stream_PPO __pyx_string_tab[1022] -#define __pyx_n_u_stream_PVI __pyx_string_tab[1023] -#define __pyx_n_u_stream_PVO __pyx_string_tab[1024] -#define __pyx_n_u_stream_PVT __pyx_string_tab[1025] -#define __pyx_n_u_stream_QSTICK __pyx_string_tab[1026] -#define __pyx_n_u_stream_RMA __pyx_string_tab[1027] -#define __pyx_n_u_stream_ROC __pyx_string_tab[1028] -#define __pyx_n_u_stream_ROCP __pyx_string_tab[1029] -#define __pyx_n_u_stream_ROCR __pyx_string_tab[1030] -#define __pyx_n_u_stream_ROCR100 __pyx_string_tab[1031] -#define __pyx_n_u_stream_RSI __pyx_string_tab[1032] -#define __pyx_n_u_stream_RVI __pyx_string_tab[1033] -#define __pyx_n_u_stream_RVOL __pyx_string_tab[1034] -#define __pyx_n_u_stream_SAR __pyx_string_tab[1035] -#define __pyx_n_u_stream_SAREXT __pyx_string_tab[1036] -#define __pyx_n_u_stream_SIN __pyx_string_tab[1037] -#define __pyx_n_u_stream_SINH __pyx_string_tab[1038] -#define __pyx_n_u_stream_SMA __pyx_string_tab[1039] -#define __pyx_n_u_stream_SMI __pyx_string_tab[1040] -#define __pyx_n_u_stream_SQRT __pyx_string_tab[1041] -#define __pyx_n_u_stream_STDDEV __pyx_string_tab[1042] -#define __pyx_n_u_stream_STOCH __pyx_string_tab[1043] -#define __pyx_n_u_stream_STOCHF __pyx_string_tab[1044] -#define __pyx_n_u_stream_STOCHRSI __pyx_string_tab[1045] -#define __pyx_n_u_stream_SUB __pyx_string_tab[1046] -#define __pyx_n_u_stream_SUM __pyx_string_tab[1047] -#define __pyx_n_u_stream_SUPERTREND __pyx_string_tab[1048] -#define __pyx_n_u_stream_T3 __pyx_string_tab[1049] -#define __pyx_n_u_stream_TAN __pyx_string_tab[1050] -#define __pyx_n_u_stream_TANH __pyx_string_tab[1051] -#define __pyx_n_u_stream_TEMA __pyx_string_tab[1052] -#define __pyx_n_u_stream_TRANGE __pyx_string_tab[1053] -#define __pyx_n_u_stream_TRIMA __pyx_string_tab[1054] -#define __pyx_n_u_stream_TRIX __pyx_string_tab[1055] -#define __pyx_n_u_stream_TSF __pyx_string_tab[1056] -#define __pyx_n_u_stream_TSI __pyx_string_tab[1057] -#define __pyx_n_u_stream_TYPPRICE __pyx_string_tab[1058] -#define __pyx_n_u_stream_ULTOSC __pyx_string_tab[1059] -#define __pyx_n_u_stream_VAR __pyx_string_tab[1060] -#define __pyx_n_u_stream_VHF __pyx_string_tab[1061] -#define __pyx_n_u_stream_VORTEX __pyx_string_tab[1062] -#define __pyx_n_u_stream_VWAP __pyx_string_tab[1063] -#define __pyx_n_u_stream_VWMA __pyx_string_tab[1064] -#define __pyx_n_u_stream_WAD __pyx_string_tab[1065] -#define __pyx_n_u_stream_WCLPRICE __pyx_string_tab[1066] -#define __pyx_n_u_stream_WILLR __pyx_string_tab[1067] -#define __pyx_n_u_stream_WMA __pyx_string_tab[1068] -#define __pyx_n_u_stream_ZLEMA __pyx_string_tab[1069] -#define __pyx_n_u_sys __pyx_string_tab[1070] -#define __pyx_n_u_ta_check_success __pyx_string_tab[1071] -#define __pyx_n_u_ta_func_unst_id __pyx_string_tab[1072] -#define __pyx_n_u_ta_func_unst_ids __pyx_string_tab[1073] -#define __pyx_n_u_ta_func_unst_retired __pyx_string_tab[1074] -#define __pyx_n_u_ta_getFuncInfo __pyx_string_tab[1075] -#define __pyx_n_u_ta_getFuncTable __pyx_string_tab[1076] -#define __pyx_n_u_ta_getGroupTable __pyx_string_tab[1077] -#define __pyx_n_u_ta_getInputParameterInfo __pyx_string_tab[1078] -#define __pyx_n_u_ta_getOptInputParameterInfo __pyx_string_tab[1079] -#define __pyx_n_u_ta_getOutputParameterInfo __pyx_string_tab[1080] -#define __pyx_n_u_ta_get_compatibility __pyx_string_tab[1081] -#define __pyx_n_u_ta_get_unstable_period __pyx_string_tab[1082] -#define __pyx_n_u_ta_initialize __pyx_string_tab[1083] -#define __pyx_n_u_ta_restore_candle_default_setti __pyx_string_tab[1084] -#define __pyx_n_u_ta_set_candle_settings __pyx_string_tab[1085] -#define __pyx_n_u_ta_set_compatibility __pyx_string_tab[1086] -#define __pyx_n_u_ta_set_unstable_period __pyx_string_tab[1087] -#define __pyx_n_u_ta_shutdown __pyx_string_tab[1088] -#define __pyx_n_u_ta_version __pyx_string_tab[1089] -#define __pyx_n_u_table __pyx_string_tab[1090] -#define __pyx_n_u_talib__ta_lib __pyx_string_tab[1091] -#define __pyx_n_u_test __pyx_string_tab[1092] -#define __pyx_n_u_threading __pyx_string_tab[1093] -#define __pyx_n_u_timeStamp __pyx_string_tab[1094] -#define __pyx_n_u_timeperiod __pyx_string_tab[1095] -#define __pyx_n_u_timeperiod1 __pyx_string_tab[1096] -#define __pyx_n_u_timeperiod2 __pyx_string_tab[1097] -#define __pyx_n_u_timeperiod3 __pyx_string_tab[1098] -#define __pyx_n_u_to_numpy __pyx_string_tab[1099] -#define __pyx_n_u_type __pyx_string_tab[1100] -#define __pyx_n_u_type_2 __pyx_string_tab[1101] -#define __pyx_n_u_unicode __pyx_string_tab[1102] -#define __pyx_n_u_unst_id __pyx_string_tab[1103] -#define __pyx_n_u_update __pyx_string_tab[1104] -#define __pyx_n_u_update_info __pyx_string_tab[1105] -#define __pyx_n_u_upper __pyx_string_tab[1106] -#define __pyx_n_u_value __pyx_string_tab[1107] -#define __pyx_n_u_values __pyx_string_tab[1108] -#define __pyx_n_u_version __pyx_string_tab[1109] -#define __pyx_n_u_vfactor __pyx_string_tab[1110] -#define __pyx_n_u_volume __pyx_string_tab[1111] -#define __pyx_n_u_volume_data __pyx_string_tab[1112] -#define __pyx_n_u_warn __pyx_string_tab[1113] -#define __pyx_n_u_warnings __pyx_string_tab[1114] -#define __pyx_n_u_wmaperiod __pyx_string_tab[1115] -#define __pyx_kp_b_iso88591_01_aq_Q_T_q_RvXRt6_4_S_aammnn_Q __pyx_string_tab[1116] -#define __pyx_kp_b_iso88591_01_aq_Q_T_q_a_RvXRt6_4_S_aammnn __pyx_string_tab[1117] -#define __pyx_kp_b_iso88591_01_aq_T_q_8_T_U_7_A_we_7r_q_Bd __pyx_string_tab[1118] -#define __pyx_kp_b_iso88591_0HHbb_0_aq_Q_T_q_q_q_RvXRt6_4_S __pyx_string_tab[1119] -#define __pyx_kp_b_iso88591_0_aq_Q_T_q_a_A_BfHBd_lRaabbnnoo __pyx_string_tab[1120] -#define __pyx_kp_b_iso88591_0_aq_Q_T_q_a_BfHBd_lR___llmm_Qn __pyx_string_tab[1121] -#define __pyx_kp_b_iso88591_12_aq_Q_T_q_a_b_hb_F_D_Taabbnno __pyx_string_tab[1122] -#define __pyx_kp_b_iso88591_1_1 __pyx_string_tab[1123] -#define __pyx_kp_b_iso88591_1_a_OuTUUV_Q_31_9AT_4q_1HF_wc_d __pyx_string_tab[1124] -#define __pyx_kp_b_iso88591_1_aq_T_q_8_T_U_7_A_we_M_q_r_Yk __pyx_string_tab[1125] -#define __pyx_kp_b_iso88591_1_aq_T_q_8_T_U_7_A_we_M_q_r_Yk_2 __pyx_string_tab[1126] -#define __pyx_kp_b_iso88591_2J_aq_Q_T_q_a_r_xr_V82T_Ubboopp __pyx_string_tab[1127] -#define __pyx_kp_b_iso88591_2_1_Q_9 __pyx_string_tab[1128] -#define __pyx_kp_b_iso88591_2_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddn __pyx_string_tab[1129] -#define __pyx_kp_b_iso88591_314DAQ_Q_a_4q_a_Qd_c_a_Qd_s_4q __pyx_string_tab[1130] -#define __pyx_kp_b_iso88591_34_aq_Q_T_q_a_fHBd_Vccddppq_r_A __pyx_string_tab[1131] -#define __pyx_kp_b_iso88591_34_aq_Q_T_q_fHBd_Vccddppq_r_A_A __pyx_string_tab[1132] -#define __pyx_kp_b_iso88591_45_aq_T_q_8_T_U_7_A_we_2Q_q_i_f __pyx_string_tab[1133] -#define __pyx_kp_b_iso88591_6_V6_a_6_4vXRt_Q___kkll_Qk_1 __pyx_string_tab[1134] -#define __pyx_kp_b_iso88591_78_aq_Q_T_q_a_BfHBd_lZgghhttu_v __pyx_string_tab[1135] -#define __pyx_kp_b_iso88591_8_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_q __pyx_string_tab[1136] -#define __pyx_kp_b_iso88591_A2_A_QnA_1_t_6a_gQ_d_Q_d_1_q_s_A __pyx_string_tab[1137] -#define __pyx_kp_b_iso88591_AA_uuv0_aq_T_q_8_T_U_7_A_we_0_o __pyx_string_tab[1138] -#define __pyx_kp_b_iso88591_A_A_1_N_q_5_A_z_HA_G1A_q_q __pyx_string_tab[1139] -#define __pyx_kp_b_iso88591_A_A_2_k_Qa_e_e1_2S_AQ_U_t1A_q_4 __pyx_string_tab[1140] -#define __pyx_kp_b_iso88591_A_A_4_B_q_A_U_q_we1_axq_wgQa_Q_a __pyx_string_tab[1141] -#define __pyx_kp_b_iso88591_A_A_4uA_e87_4z_q_aq_gU_5_q_E_a_s __pyx_string_tab[1142] -#define __pyx_kp_b_iso88591_A_A_4wawa_1_Kq_Q_V1E_d_1_0_Ya_T __pyx_string_tab[1143] -#define __pyx_kp_b_iso88591_A_A_6_6_6_7_7_81_7_7_5_6_a_Q_81 __pyx_string_tab[1144] -#define __pyx_kp_b_iso88591_A_A_AQ_6_A_E_A_q __pyx_string_tab[1145] -#define __pyx_kp_b_iso88591_A_A_L_6_Qk_A_a_QnA_a __pyx_string_tab[1146] -#define __pyx_kp_b_iso88591_A_A_a_G1_t3e1_aq_4_q_Q_AT_V1A_S __pyx_string_tab[1147] -#define __pyx_kp_b_iso88591_A_A_at1_C_IQe1_D_aq_E_AZq_vV_2_V __pyx_string_tab[1148] -#define __pyx_kp_b_iso88591_A_A_gQ_5_q_5_V1_5_U __pyx_string_tab[1149] -#define __pyx_kp_b_iso88591_A_A_k_M_a_q_T_7q_q __pyx_string_tab[1150] -#define __pyx_kp_b_iso88591_A_A_k_N_q_q_e_q_1A_q __pyx_string_tab[1151] -#define __pyx_kp_b_iso88591_A_B_aq_aq_Qa_Kq_6_uA_8_T_4xzY_d __pyx_string_tab[1152] -#define __pyx_kp_b_iso88591_A_HKq_1A_6_5Q_A_7_4A_A_QgQ_7_1_A __pyx_string_tab[1153] -#define __pyx_kp_b_iso88591_A_Jm6_M_Q_Jiq_A_O9F_b_O1 __pyx_string_tab[1154] -#define __pyx_kp_b_iso88591_A_Qd __pyx_string_tab[1155] -#define __pyx_kp_b_iso88591_A_Y_Y_Z_aq_Q_Qa_y_1_Kq_q_6_6_gQ __pyx_string_tab[1156] -#define __pyx_kp_b_iso88591_A_aq_Kq_6_8_T_5_U_7_A_we_2Q_q_i __pyx_string_tab[1157] -#define __pyx_kp_b_iso88591_A_aq_Qa_6_8_T_3a_U_7_A_we_Rq_AX __pyx_string_tab[1158] -#define __pyx_kp_b_iso88591_A_aq_T_q_8_T_U_7_A_we_2_q_i_fAY __pyx_string_tab[1159] -#define __pyx_kp_b_iso88591_A_aq_T_q_8_T_U_7_A_we_2_q_i_fAY_2 __pyx_string_tab[1160] -#define __pyx_kp_b_iso88591_A_d_q_4z_q_aq_q __pyx_string_tab[1161] -#define __pyx_kp_b_iso88591_A_q __pyx_string_tab[1162] -#define __pyx_kp_b_iso88591_A_q_q __pyx_string_tab[1163] -#define __pyx_kp_b_iso88591_A_t81A __pyx_string_tab[1164] -#define __pyx_kp_b_iso88591_A_t85 __pyx_string_tab[1165] -#define __pyx_kp_b_iso88591_A_t85_Q __pyx_string_tab[1166] -#define __pyx_kp_b_iso88591_A_t85_Q_2 __pyx_string_tab[1167] -#define __pyx_kp_b_iso88591_A_uAS __pyx_string_tab[1168] -#define __pyx_kp_b_iso88591_A_uBd __pyx_string_tab[1169] -#define __pyx_kp_b_iso88591_A_wat81 __pyx_string_tab[1170] -#define __pyx_kp_b_iso88591_A_z_____b_b_G_G_h_h_i_4_aq_Qa_6 __pyx_string_tab[1171] -#define __pyx_kp_b_iso88591_BC_Kq_7_8_U_F_U_7_A_we_2Q_q_i_v __pyx_string_tab[1172] -#define __pyx_kp_b_iso88591_BC_Kq_Kq_7_8_U_E_U_7_A_we_Ba_q __pyx_string_tab[1173] -#define __pyx_kp_b_iso88591_BC_aq_6_8_T_6_U_7_A_we_Ba_q_4y __pyx_string_tab[1174] -#define __pyx_kp_b_iso88591_BC_aq_Qa_6_8_T_3a_U_7_A_we_r_q __pyx_string_tab[1175] -#define __pyx_kp_b_iso88591_BXXY_aq_Qa_6_8_T_3a_U_7_A_we_r __pyx_string_tab[1176] -#define __pyx_kp_b_iso88591_B_aq_Q_T_q_a_r_xr_V82T_Zccddppq __pyx_string_tab[1177] -#define __pyx_kp_b_iso88591_B_aq_Q_T_q_a_r_xr_V82T_Zddeeqqr __pyx_string_tab[1178] -#define __pyx_kp_b_iso88591_C1_aq_Q_T_q_a_fHBd_m_ccddppq_r __pyx_string_tab[1179] -#define __pyx_kp_b_iso88591_C1_aq_Q_T_q_a_fHBd_m_jjkkwwx_y __pyx_string_tab[1180] -#define __pyx_kp_b_iso88591_C1_aq_T_q_8_T_U_7_A_we_2_M_q_r __pyx_string_tab[1181] -#define __pyx_kp_b_iso88591_CC_aq_Q_T_q_a_fHBd_m_hhqqrr_O_O __pyx_string_tab[1182] -#define __pyx_kp_b_iso88591_CD_aq_Kq_6_8_T_5_U_7_A_we_b_q_2 __pyx_string_tab[1183] -#define __pyx_kp_b_iso88591_CD_aq_Qa_6_8_T_3a_U_7_A_we_0_Rt __pyx_string_tab[1184] -#define __pyx_kp_b_iso88591_CD_aq_Qa_6_8_T_3a_U_7_A_we_0_q __pyx_string_tab[1185] -#define __pyx_kp_b_iso88591_CZZqqr_aq_k_6_8_T_7_U_7_A_we_Bl __pyx_string_tab[1186] -#define __pyx_kp_b_iso88591_C_D_aq_aq_Qa_Kq_6_uA_8_T_4xzY_d __pyx_string_tab[1187] -#define __pyx_kp_b_iso88591_DA_aq_Q_T_q_a_fHBd_n_kkllxxy_z __pyx_string_tab[1188] -#define __pyx_kp_b_iso88591_DD_2_aq_Q_T_q_a_A_6_4vXRt_iixxy __pyx_string_tab[1189] -#define __pyx_kp_b_iso88591_DE_Kq_Kq_7_8_U_E_U_7_A_we_b_q_2 __pyx_string_tab[1190] -#define __pyx_kp_b_iso88591_D_E_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA __pyx_string_tab[1191] -#define __pyx_kp_b_iso88591_D_E_aq_aq_Qa_Kq_6_uA_8_T_4xzY_d __pyx_string_tab[1192] -#define __pyx_kp_b_iso88591_D_aq_Q_Qa_y_1_6_a_r_xr_V82T_Xee __pyx_string_tab[1193] -#define __pyx_kp_b_iso88591_D_ttu_aq_Q_Qa_y_1_6_a_r_xr_V82T __pyx_string_tab[1194] -#define __pyx_kp_b_iso88591_EE_6_V6_a_fHBd_P_jjsst_u_A_A_B __pyx_string_tab[1195] -#define __pyx_kp_b_iso88591_EF_aq_Q_Qa_y_1_6_a_fHBd_kYffggs __pyx_string_tab[1196] -#define __pyx_kp_b_iso88591_EQ_aq_Q_T_q_a_a_6_4vXRt_gghhttu __pyx_string_tab[1197] -#define __pyx_kp_b_iso88591_E_F_aq_aq_Qa_Kq_6_uA_8_T_4xzY_d __pyx_string_tab[1198] -#define __pyx_kp_b_iso88591_E_a_aq_Q_Qa_y_1_6_a_fHBd_kYhhrr __pyx_string_tab[1199] -#define __pyx_kp_b_iso88591_E_aq_Q_Qa_y_1_6_a_fHBd_kYffrrss __pyx_string_tab[1200] -#define __pyx_kp_b_iso88591_FF___aq_Q_T_q_a_BfHBd_lR_kkxxy __pyx_string_tab[1201] -#define __pyx_kp_b_iso88591_FF_ttu4_aq_Q_T_q_q_q_2V82T_xr_Q __pyx_string_tab[1202] -#define __pyx_kp_b_iso88591_Fa_aq_Q_T_q_a_2V82T_xr_Q_ffggss __pyx_string_tab[1203] -#define __pyx_kp_b_iso88591_GGZZr_s_F_F_a_8_aq_Q_T_q_a_A_Bf __pyx_string_tab[1204] -#define __pyx_kp_b_iso88591_GH_aq_Q_Kq_q_6_a_fHBd_m_hhiiuuv __pyx_string_tab[1205] -#define __pyx_kp_b_iso88591_GH_aq_Q_Qa_y_1_6_1_F_D_hb_LP_hh __pyx_string_tab[1206] -#define __pyx_kp_b_iso88591_G___aq_Q_Qa_y_1_6_a_F_D_hb_LP_h __pyx_string_tab[1207] -#define __pyx_kp_b_iso88591_H_I_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA __pyx_string_tab[1208] -#define __pyx_kp_b_iso88591_Hb_c_B_B_f_f_F_F_i_i_N_N_o_o_p __pyx_string_tab[1209] -#define __pyx_kp_b_iso88591_IJ_Kq_q_6_7_a_fHBd_jjkkwwx_y_H __pyx_string_tab[1210] -#define __pyx_kp_b_iso88591_IJ_Kq_q_Kq_q_7_a_6_4vXRt_P_jjkk __pyx_string_tab[1211] -#define __pyx_kp_b_iso88591_IJ_aq_Q_6_6_a_6_4vXRt_jjkkwwx_y __pyx_string_tab[1212] -#define __pyx_kp_b_iso88591_IJ_aq_Q_Qa_y_1_6_a_BfHBd_lR_jjk __pyx_string_tab[1213] -#define __pyx_kp_b_iso88591_I___aq_Q_Qa_y_1_6_1_BfHBd_lR_hh __pyx_string_tab[1214] -#define __pyx_kp_b_iso88591_JK0_aq_Q_Qa_y_1_6_q_q_RvXRt6_4 __pyx_string_tab[1215] -#define __pyx_kp_b_iso88591_JK_aq_Q_Kq_q_6_a_2V82T_xr_Q_kkl __pyx_string_tab[1216] -#define __pyx_kp_b_iso88591_JK_aq_Q_Qa_y_1_6_a_RvXRt6_4_S_k __pyx_string_tab[1217] -#define __pyx_kp_b_iso88591_J_K_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA __pyx_string_tab[1218] -#define __pyx_kp_b_iso88591_Jaaxxy_aq_Q_k_9G1_6_a_6_4vXRt_j __pyx_string_tab[1219] -#define __pyx_kp_b_iso88591_KL_Kq_q_Kq_q_7_a_2V82T_xr_R__ll __pyx_string_tab[1220] -#define __pyx_kp_b_iso88591_K_L_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA __pyx_string_tab[1221] -#define __pyx_kp_b_iso88591_Kq_7_8_U_F_U_7_A_we_1_q_i_vQi_R __pyx_string_tab[1222] -#define __pyx_kp_b_iso88591_Kq_Kq_7_8_U_E_U_7_A_we_1_q_i_vQ __pyx_string_tab[1223] -#define __pyx_kp_b_iso88591_Kq_Kq_7_8_U_E_U_7_A_we_A_q_4y_5 __pyx_string_tab[1224] -#define __pyx_kp_b_iso88591_Kq_q_6_7_a_fHBd_jjkkzz_Qj_1 __pyx_string_tab[1225] -#define __pyx_kp_b_iso88591_Kq_q_Kq_q_7_a_6_4vXRt_P_jjkkzz __pyx_string_tab[1226] -#define __pyx_kp_b_iso88591_Kq_q_Kq_q_7_a_fHBd_iijjyyzz_Qj __pyx_string_tab[1227] -#define __pyx_kp_b_iso88591_L_M_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA __pyx_string_tab[1228] -#define __pyx_kp_b_iso88591_N_1_A_t1 __pyx_string_tab[1229] -#define __pyx_kp_b_iso88591_Q_AQQVVWWX_Q_5Q_9AT_4q_1JfA_Cq __pyx_string_tab[1230] -#define __pyx_kp_b_iso88591_Q_A_1_G9JfA_t_1G1_q_1_a_U_4q __pyx_string_tab[1231] -#define __pyx_kp_b_iso88591_Q_B_1A_Q_V1E_gQfAU_Q_1 __pyx_string_tab[1232] -#define __pyx_kp_b_iso88591_Q_NeSTTU_Q_2_9AT_4q_1G6_wc_t81H __pyx_string_tab[1233] -#define __pyx_kp_b_iso88591_Q_V1E_q_WAQ_Q_aq_1 __pyx_string_tab[1234] -#define __pyx_kp_b_iso88591_Q_aq_T_q_8_T_U_7_A_we_2_1_q_i_f __pyx_string_tab[1235] -#define __pyx_kp_b_iso88591_Q_q __pyx_string_tab[1236] -#define __pyx_kp_b_iso88591_SSkk_Y_Y_Z_8_aq_T_q_8_T_U_7_A_w __pyx_string_tab[1237] -#define __pyx_kp_b_iso88591_TTU_aq_T_q_8_T_U_7_A_we_2_q_q_i __pyx_string_tab[1238] -#define __pyx_kp_b_iso88591_UUV2_aq_T_q_8_T_U_7_A_we_Bm_q_Q __pyx_string_tab[1239] -#define __pyx_kp_b_iso88591_UUV_aq_Qa_6_8_T_3a_U_7_A_we_M_q __pyx_string_tab[1240] -#define __pyx_kp_b_iso88591_UUmmn_aq_Qa_6_8_T_3a_U_7_A_we_M __pyx_string_tab[1241] -#define __pyx_kp_b_iso88591_V6_8_V1_U_7_A_we_Ba_q_4y_6_q_VW __pyx_string_tab[1242] -#define __pyx_kp_b_iso88591_VVW_V6_8_V1_U_7_A_we_2_q_q_i_ay __pyx_string_tab[1243] -#define __pyx_kp_b_iso88591_VVW_aq_Qa_6_8_T_3a_U_7_A_we_2_q __pyx_string_tab[1244] -#define __pyx_kp_b_iso88591_VVmmn4_aq_T_q_8_T_U_7_A_we_b_Zz __pyx_string_tab[1245] -#define __pyx_kp_b_iso88591_WWX_aq_T_q_8_T_U_7_A_we_r_q_Bd __pyx_string_tab[1246] -#define __pyx_kp_b_iso88591_XXY_aq_Qa_6_8_T_3a_U_7_A_we_R_A __pyx_string_tab[1247] -#define __pyx_kp_b_iso88591_YYZ_aq_Qa_6_8_T_3a_U_7_A_we_2_A __pyx_string_tab[1248] -#define __pyx_kp_b_iso88591_YZ_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A __pyx_string_tab[1249] -#define __pyx_kp_b_iso88591_Yq_r_I_I_J_2_aq_Qa_Kq_6_a_8_T_3 __pyx_string_tab[1250] -#define __pyx_kp_b_iso88591_Z_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_w __pyx_string_tab[1251] -#define __pyx_kp_b_iso88591_Z_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_w_2 __pyx_string_tab[1252] -#define __pyx_kp_b_iso88591_Zr_s_K_K_c_c_d_0_aq_Qa_Kq_6_a_8 __pyx_string_tab[1253] -#define __pyx_kp_b_iso88591_Zt_u_O_O_e_e_6_aq_Qa_Kq_6_a_8_T __pyx_string_tab[1254] -#define __pyx_kp_b_iso88591_a_QoQ __pyx_string_tab[1255] -#define __pyx_kp_b_iso88591_a_V_V_l_l_F_F_G_aq_Q_Qa_y_1_Kq __pyx_string_tab[1256] -#define __pyx_kp_b_iso88591_a_aq_Q_Qa_y_1_Kq_q_6_a_a_r_xr_V __pyx_string_tab[1257] -#define __pyx_kp_b_iso88591_a_aq_T_q_8_T_U_7_A_we_Bl_q_q_4y __pyx_string_tab[1258] -#define __pyx_kp_b_iso88591_ab_aq_Q_Qa_y_1_Kq_q_6_a_1_1_fHB __pyx_string_tab[1259] -#define __pyx_kp_b_iso88591_ab_aq_Q_Qa_y_1_Kq_q_6_a_a_fHBd __pyx_string_tab[1260] -#define __pyx_kp_b_iso88591_aq_6_8_T_6_U_7_A_we_1_q_i_fAYkQ __pyx_string_tab[1261] -#define __pyx_kp_b_iso88591_aq_Q_6_6_a_fHBd_n_iijjyyzz_Qj_1 __pyx_string_tab[1262] -#define __pyx_kp_b_iso88591_aq_Q_Q __pyx_string_tab[1263] -#define __pyx_kp_b_iso88591_aq_Q_Qa_y_1_6_6_a_a_RvXRt6_4_S __pyx_string_tab[1264] -#define __pyx_kp_b_iso88591_aq_Q_Qa_y_1_6_a_RvXRt6_4_S___kk __pyx_string_tab[1265] -#define __pyx_kp_b_iso88591_aq_Q_Qa_y_1_Kq_q_6_6_gQ_a_6_4vX __pyx_string_tab[1266] -#define __pyx_kp_b_iso88591_aq_Q_Qa_y_1_Kq_q_6_6_gQ_a_fHBd __pyx_string_tab[1267] -#define __pyx_kp_b_iso88591_aq_Q_Qa_y_1_Kq_q_6_6_gQ_a_r_xr __pyx_string_tab[1268] -#define __pyx_kp_b_iso88591_aq_Q_Qa_y_1_Kq_q_6_a_a_2V82T_xr __pyx_string_tab[1269] -#define __pyx_kp_b_iso88591_aq_Q_Qa_y_1_Kq_q_6_a_a_RvXRt6_4 __pyx_string_tab[1270] -#define __pyx_kp_b_iso88591_aq_Q_Qa_y_1_Kq_q_6_a_a_fHBd_kYf __pyx_string_tab[1271] -#define __pyx_kp_b_iso88591_aq_Q_T_q_6_4vXRt_WXXddeettuuv_Q __pyx_string_tab[1272] -#define __pyx_kp_b_iso88591_aq_Q_T_q_A_b_hb_F_D_TUUaabbqqrr __pyx_string_tab[1273] -#define __pyx_kp_b_iso88591_aq_Q_T_q_Q_Q_2V82T_xr_Q___kkll __pyx_string_tab[1274] -#define __pyx_kp_b_iso88591_aq_Q_T_q_a_2V82T_xr_QRR___nnoop __pyx_string_tab[1275] -#define __pyx_kp_b_iso88591_aq_Q_T_q_a_2V82T_xr_Q___kkll_Qm __pyx_string_tab[1276] -#define __pyx_kp_b_iso88591_aq_Q_T_q_a_6_4vXRt_WXXddeettuuv __pyx_string_tab[1277] -#define __pyx_kp_b_iso88591_aq_Q_T_q_a_6_4vXRt_iijjyyzz_Qk __pyx_string_tab[1278] -#define __pyx_kp_b_iso88591_aq_Q_T_q_a_6_4vXRt_qP_llmmn_Qk __pyx_string_tab[1279] -#define __pyx_kp_b_iso88591_aq_Q_T_q_a_BfHBd_lRSS___ooppzz __pyx_string_tab[1280] -#define __pyx_kp_b_iso88591_aq_Q_T_q_a_F_D_hb_LPQQ_mmnno_Ql __pyx_string_tab[1281] -#define __pyx_kp_b_iso88591_aq_Q_T_q_a_F_D_hb_LP_jjkkzz_Ql __pyx_string_tab[1282] -#define __pyx_kp_b_iso88591_aq_Q_T_q_a_fHBdR_kkllxxy_z_I_I __pyx_string_tab[1283] -#define __pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_VWWccddssttu_Q __pyx_string_tab[1284] -#define __pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_a_kkllm_Qj_1 __pyx_string_tab[1285] -#define __pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_m_hhiixxyyz_Qj __pyx_string_tab[1286] -#define __pyx_kp_b_iso88591_aq_Q_T_q_a_r_xr_V82T_QlZ_jjkkl __pyx_string_tab[1287] -#define __pyx_kp_b_iso88591_aq_Q_T_q_a_r_xr_V82T_UVVbbccrrs __pyx_string_tab[1288] -#define __pyx_kp_b_iso88591_aq_Q_T_q_a_r_xr_V82T_Z_gghhwwxx __pyx_string_tab[1289] -#define __pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_2V82 __pyx_string_tab[1290] -#define __pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_6_4v __pyx_string_tab[1291] -#define __pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_BfHB __pyx_string_tab[1292] -#define __pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_BfHB_2 __pyx_string_tab[1293] -#define __pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_F_D __pyx_string_tab[1294] -#define __pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_RvXR __pyx_string_tab[1295] -#define __pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_a_Rv __pyx_string_tab[1296] -#define __pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_a_fH __pyx_string_tab[1297] -#define __pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_b_hb __pyx_string_tab[1298] -#define __pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_b_hb_2 __pyx_string_tab[1299] -#define __pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_fHBd __pyx_string_tab[1300] -#define __pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_fHBd_2 __pyx_string_tab[1301] -#define __pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_r_xr __pyx_string_tab[1302] -#define __pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_r_xr_2 __pyx_string_tab[1303] -#define __pyx_kp_b_iso88591_aq_Qa_6_8_T_3a_U_7_A_we_0_q_Rt9 __pyx_string_tab[1304] -#define __pyx_kp_b_iso88591_aq_Qa_6_8_T_3a_U_7_A_we_2Q_q_i __pyx_string_tab[1305] -#define __pyx_kp_b_iso88591_aq_Qa_6_a_8_T_3hjX___U_7_A_we_0 __pyx_string_tab[1306] -#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_w __pyx_string_tab[1307] -#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_w_2 __pyx_string_tab[1308] -#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_w_3 __pyx_string_tab[1309] -#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_we __pyx_string_tab[1310] -#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_we_2 __pyx_string_tab[1311] -#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_we_3 __pyx_string_tab[1312] -#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_we_4 __pyx_string_tab[1313] -#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_we_5 __pyx_string_tab[1314] -#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_we_6 __pyx_string_tab[1315] -#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_gQ_8_T_3hjX_eeoouuv __pyx_string_tab[1316] -#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_gQ_8_T_3hjX_eeoouuv_2 __pyx_string_tab[1317] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_0_q_Rt9Kt6 __pyx_string_tab[1318] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_0_q_Rt9Kt6_2 __pyx_string_tab[1319] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_1_1_q_b_I_F __pyx_string_tab[1320] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_1_81_Qha_b __pyx_string_tab[1321] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_1_q_i_fAYa __pyx_string_tab[1322] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_2Q_q_i_fAYm __pyx_string_tab[1323] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_2_q_r_Yk_V1 __pyx_string_tab[1324] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_31_q_i_fAYa __pyx_string_tab[1325] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_32Q_axq_axq __pyx_string_tab[1326] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_32Q_q_i_fAY __pyx_string_tab[1327] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_4A_q_4y_4vQ __pyx_string_tab[1328] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_4A_q_4y_4vQ_2 __pyx_string_tab[1329] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_A_q_4y_4vQi __pyx_string_tab[1330] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_A_q_r_Yk_V1 __pyx_string_tab[1331] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_Ba_q_4y_4vQ __pyx_string_tab[1332] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_Q_q_D_D_ay __pyx_string_tab[1333] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_Rq_q_D_D_ay __pyx_string_tab[1334] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_a_q_2T_T_q __pyx_string_tab[1335] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_b_axq_axq_2 __pyx_string_tab[1336] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_b_q_2T_T_q __pyx_string_tab[1337] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_q_q_1HA_Bd __pyx_string_tab[1338] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_q_r_Yk_V1IQ __pyx_string_tab[1339] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_r_q_Bd_d_WX __pyx_string_tab[1340] -#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_r_q_Qha_1HA __pyx_string_tab[1341] -#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns __pyx_string_tab[1342] -#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_10 __pyx_string_tab[1343] -#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_11 __pyx_string_tab[1344] -#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_12 __pyx_string_tab[1345] -#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_13 __pyx_string_tab[1346] -#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_14 __pyx_string_tab[1347] -#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_15 __pyx_string_tab[1348] -#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_2 __pyx_string_tab[1349] -#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_3 __pyx_string_tab[1350] -#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_4 __pyx_string_tab[1351] -#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_5 __pyx_string_tab[1352] -#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_6 __pyx_string_tab[1353] -#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_7 __pyx_string_tab[1354] -#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_8 __pyx_string_tab[1355] -#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_9 __pyx_string_tab[1356] -#define __pyx_kp_b_iso88591_aq_xs_q_A_Q_a __pyx_string_tab[1357] -#define __pyx_kp_b_iso88591_aq_xs_q_Qa_1 __pyx_string_tab[1358] -#define __pyx_kp_b_iso88591_ay_z_R_R_j_j_k_4_aq_Q_Qa_y_1_Kq __pyx_string_tab[1359] -#define __pyx_kp_b_iso88591_ayyz_aq_Qa_Kq_6_a_8_T_3hjX_U_7 __pyx_string_tab[1360] -#define __pyx_kp_b_iso88591_bc_aq_Q_Qa_y_1_Kq_q_6_a_a_6_4vX __pyx_string_tab[1361] -#define __pyx_kp_b_iso88591_c_X_X_m_m_G_G_H_6_aq_Q_Qa_y_1_K __pyx_string_tab[1362] -#define __pyx_kp_b_iso88591_cd_aq_Q_Qa_y_1_Kq_q_6_a_a_F_D_h __pyx_string_tab[1363] -#define __pyx_kp_b_iso88591_d_W_W_X_aq_Q_Qa_y_1_Kq_q_6_a_a __pyx_string_tab[1364] -#define __pyx_kp_b_iso88591_d_Y_Y_Z_2_aq_Q_Qa_y_1_Kq_q_6_a __pyx_string_tab[1365] -#define __pyx_kp_b_iso88591_de_aq_Q_Qa_y_1_Kq_q_6_a_2V82T_x __pyx_string_tab[1366] -#define __pyx_kp_b_iso88591_ef_aq_Q_Qa_y_1_Kq_q_6_a_a_BfHBd __pyx_string_tab[1367] -#define __pyx_kp_b_iso88591_fg2_aq_Q_Qa_y_1_Kq_q_6_a_q_q_Rv __pyx_string_tab[1368] -#define __pyx_kp_b_iso88591_fg_aq_Q_Qa_y_1_Kq_q_6_a_a_RvXRt __pyx_string_tab[1369] -#define __pyx_kp_b_iso88591_i_A_A_B_0_aq_Q_Qa_y_1_Kq_q_6_a __pyx_string_tab[1370] -#define __pyx_kp_b_iso88591_q_1_Q_a __pyx_string_tab[1371] -#define __pyx_kp_b_iso88591_q_9A_1_q_1_1_1A_q_a_1A_4z_A_G1 __pyx_string_tab[1372] -#define __pyx_kp_b_iso88591_q_aq_T_q_8_T_U_7_A_we_b_Q_q_2T __pyx_string_tab[1373] -#define __pyx_kp_b_iso88591_uBa_q_1A__F_F_t2Q __pyx_string_tab[1374] -#define __pyx_kp_b_iso88591_uCq_Q_1A_1_q_AQ __pyx_string_tab[1375] -#define __pyx_kp_b_iso88591_v_w_P_P_Q_aq_Qa_Kq_6_a_8_T_3hjX __pyx_string_tab[1376] -#define __pyx_kp_b_iso88591_v_w_Q_Q_f_f_A_2_aq_Qa_Kq_6_a_8 __pyx_string_tab[1377] -#define __pyx_kp_b_iso88591_w_x_R_R_S_aq_Qa_Kq_6_a_8_T_3hjX __pyx_string_tab[1378] -#define __pyx_kp_b_iso88591_wx_aq_Qa_Kq_6_gQ_8_T_3hjX_eeoou __pyx_string_tab[1379] -#define __pyx_kp_b_iso88591_x_y_P_P_Q_6_aq_Q_Qa_y_1_Kq_q_6 __pyx_string_tab[1380] -#define __pyx_kp_b_iso88591_y_1_q_Q_a_Q_a_Q_a_Q_a_Q_a_Q_a_Q __pyx_string_tab[1381] -#define __pyx_kp_b_iso88591_z_R_R_S_aq_Qa_Kq_6_gQ_8_T_3hjX __pyx_string_tab[1382] -#define __pyx_int_0 __pyx_number_tab[0] -#define __pyx_int_neg_1 __pyx_number_tab[1] -#define __pyx_int_1 __pyx_number_tab[2] -#define __pyx_int_2 __pyx_number_tab[3] -#define __pyx_int_3 __pyx_number_tab[4] -#define __pyx_int_4 __pyx_number_tab[5] -#define __pyx_int_8 __pyx_number_tab[6] -#define __pyx_int_12 __pyx_number_tab[7] -#define __pyx_int_14 __pyx_number_tab[8] -#define __pyx_int_16 __pyx_number_tab[9] -#define __pyx_int_32 __pyx_number_tab[10] -#define __pyx_int_64 __pyx_number_tab[11] -#define __pyx_int_128 __pyx_number_tab[12] -#define __pyx_int_256 __pyx_number_tab[13] -#define __pyx_int_512 __pyx_number_tab[14] -#define __pyx_int_1024 __pyx_number_tab[15] -#define __pyx_int_2048 __pyx_number_tab[16] -#define __pyx_int_4096 __pyx_number_tab[17] -#define __pyx_int_8192 __pyx_number_tab[18] -#define __pyx_int_16777216 __pyx_number_tab[19] -#define __pyx_int_33554432 __pyx_number_tab[20] -#define __pyx_int_67108864 __pyx_number_tab[21] -#define __pyx_int_134217728 __pyx_number_tab[22] -#define __pyx_int_268435456 __pyx_number_tab[23] -#define __pyx_int_536870912 __pyx_number_tab[24] -#define __pyx_int_1073741824 __pyx_number_tab[25] -/* #### Code section: module_state_clear ### */ -#if CYTHON_USE_MODULE_STATE -static CYTHON_SMALL_CODE int __pyx_m_clear(PyObject *m) { - __pyx_mstatetype *clear_module_state = __Pyx_PyModule_GetState(m); - if (!clear_module_state) return 0; - Py_CLEAR(clear_module_state->__pyx_d); - Py_CLEAR(clear_module_state->__pyx_b); - Py_CLEAR(clear_module_state->__pyx_cython_runtime); - Py_CLEAR(clear_module_state->__pyx_empty_tuple); - Py_CLEAR(clear_module_state->__pyx_empty_bytes); - Py_CLEAR(clear_module_state->__pyx_empty_unicode); - #if CYTHON_PEP489_MULTI_PHASE_INIT - __Pyx_State_RemoveModule(NULL); - #endif - Py_CLEAR(clear_module_state->__pyx_ptype_7cpython_4type_type); - Py_CLEAR(clear_module_state->__pyx_ptype_5numpy_dtype); - Py_CLEAR(clear_module_state->__pyx_ptype_5numpy_flatiter); - Py_CLEAR(clear_module_state->__pyx_ptype_5numpy_broadcast); - Py_CLEAR(clear_module_state->__pyx_ptype_5numpy_ndarray); - Py_CLEAR(clear_module_state->__pyx_ptype_5numpy_generic); - Py_CLEAR(clear_module_state->__pyx_ptype_5numpy_number); - Py_CLEAR(clear_module_state->__pyx_ptype_5numpy_integer); - Py_CLEAR(clear_module_state->__pyx_ptype_5numpy_signedinteger); - Py_CLEAR(clear_module_state->__pyx_ptype_5numpy_unsignedinteger); - Py_CLEAR(clear_module_state->__pyx_ptype_5numpy_inexact); - Py_CLEAR(clear_module_state->__pyx_ptype_5numpy_floating); - Py_CLEAR(clear_module_state->__pyx_ptype_5numpy_complexfloating); - Py_CLEAR(clear_module_state->__pyx_ptype_5numpy_flexible); - Py_CLEAR(clear_module_state->__pyx_ptype_5numpy_character); - Py_CLEAR(clear_module_state->__pyx_ptype_5numpy_ufunc); - for (int i=0; i<10; ++i) { Py_CLEAR(clear_module_state->__pyx_tuple[i]); } - 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Py_VISIT(traverse_module_state->__pyx_d); - Py_VISIT(traverse_module_state->__pyx_b); - Py_VISIT(traverse_module_state->__pyx_cython_runtime); - __Pyx_VISIT_CONST(traverse_module_state->__pyx_empty_tuple); - __Pyx_VISIT_CONST(traverse_module_state->__pyx_empty_bytes); - __Pyx_VISIT_CONST(traverse_module_state->__pyx_empty_unicode); - Py_VISIT(traverse_module_state->__pyx_ptype_7cpython_4type_type); - Py_VISIT(traverse_module_state->__pyx_ptype_5numpy_dtype); - Py_VISIT(traverse_module_state->__pyx_ptype_5numpy_flatiter); - Py_VISIT(traverse_module_state->__pyx_ptype_5numpy_broadcast); - Py_VISIT(traverse_module_state->__pyx_ptype_5numpy_ndarray); - Py_VISIT(traverse_module_state->__pyx_ptype_5numpy_generic); - Py_VISIT(traverse_module_state->__pyx_ptype_5numpy_number); - Py_VISIT(traverse_module_state->__pyx_ptype_5numpy_integer); - Py_VISIT(traverse_module_state->__pyx_ptype_5numpy_signedinteger); - Py_VISIT(traverse_module_state->__pyx_ptype_5numpy_unsignedinteger); - Py_VISIT(traverse_module_state->__pyx_ptype_5numpy_inexact); - Py_VISIT(traverse_module_state->__pyx_ptype_5numpy_floating); - Py_VISIT(traverse_module_state->__pyx_ptype_5numpy_complexfloating); - Py_VISIT(traverse_module_state->__pyx_ptype_5numpy_flexible); - Py_VISIT(traverse_module_state->__pyx_ptype_5numpy_character); - Py_VISIT(traverse_module_state->__pyx_ptype_5numpy_ufunc); - for (int i=0; i<10; ++i) { __Pyx_VISIT_CONST(traverse_module_state->__pyx_tuple[i]); } - for (int i=0; i<450; ++i) { __Pyx_VISIT_CONST(traverse_module_state->__pyx_codeobj_tab[i]); } - for (int i=0; i<1383; ++i) { __Pyx_VISIT_CONST(traverse_module_state->__pyx_string_tab[i]); } - for (int i=0; i<26; ++i) { __Pyx_VISIT_CONST(traverse_module_state->__pyx_number_tab[i]); } -/* #### Code section: module_state_traverse_contents ### */ -/* CommonTypesMetaclass.module_state_traverse */ -Py_VISIT(traverse_module_state->__pyx_CommonTypesMetaclassType); +struct __pyx_obj_5talib_7_ta_lib_CDLTHRUSTING_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -/* CythonFunctionShared.module_state_traverse */ -Py_VISIT(traverse_module_state->__pyx_CyFunctionType); -/* #### Code section: module_state_traverse_end ### */ -return 0; -} -#endif -/* #### Code section: module_code ### */ +struct __pyx_obj_5talib_7_ta_lib_CDLTRISTAR_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -static CYTHON_INLINE PyTypeObject *__pyx_f_5numpy_5dtype_7typeobj_typeobj(PyArray_Descr *__pyx_v_self) { - PyTypeObject *__pyx_r; +struct __pyx_obj_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - __pyx_r = PyDataType_TYPEOBJ(__pyx_v_self); - goto __pyx_L0; +struct __pyx_obj_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} +struct __pyx_obj_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4kind_kind(PyArray_Descr *__pyx_v_self) { - char __pyx_r; - __pyx_r = PyDataType_KIND(__pyx_v_self); - goto __pyx_L0; +struct __pyx_obj_5talib_7_ta_lib_CEIL_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} +struct __pyx_obj_5talib_7_ta_lib_CMF_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4type_type(PyArray_Descr *__pyx_v_self) { - char __pyx_r; +struct __pyx_obj_5talib_7_ta_lib_CMO_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - __pyx_r = PyDataType_TYPE(__pyx_v_self); - goto __pyx_L0; +struct __pyx_obj_5talib_7_ta_lib_CMOU_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} +struct __pyx_obj_5talib_7_ta_lib_COPPOCK_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -static CYTHON_INLINE char __pyx_f_5numpy_5dtype_9byteorder_byteorder(PyArray_Descr *__pyx_v_self) { - char __pyx_r; - __pyx_r = PyDataType_BYTEORDER(__pyx_v_self); - goto __pyx_L0; +struct __pyx_obj_5talib_7_ta_lib_CORREL_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} +struct __pyx_obj_5talib_7_ta_lib_COS_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -static CYTHON_INLINE int __pyx_f_5numpy_5dtype_8type_num_type_num(PyArray_Descr *__pyx_v_self) { - int __pyx_r; +struct __pyx_obj_5talib_7_ta_lib_COSH_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - __pyx_r = PyDataType_TYPENUM(__pyx_v_self); - goto __pyx_L0; +struct __pyx_obj_5talib_7_ta_lib_CUMSUM_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} +struct __pyx_obj_5talib_7_ta_lib_CVI_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_8itemsize_itemsize(PyArray_Descr *__pyx_v_self) { - npy_intp __pyx_r; - __pyx_r = PyDataType_ELSIZE(__pyx_v_self); - goto __pyx_L0; +struct __pyx_obj_5talib_7_ta_lib_DEMA_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} +struct __pyx_obj_5talib_7_ta_lib_DIV_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_9alignment_alignment(PyArray_Descr *__pyx_v_self) { - npy_intp __pyx_r; +struct __pyx_obj_5talib_7_ta_lib_DONCHIAN_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - __pyx_r = PyDataType_ALIGNMENT(__pyx_v_self); - goto __pyx_L0; +struct __pyx_obj_5talib_7_ta_lib_DPO_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} +struct __pyx_obj_5talib_7_ta_lib_DX_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_6fields_fields(PyArray_Descr *__pyx_v_self) { - PyObject *__pyx_r = NULL; - __Pyx_RefNannyDeclarations - PyObject *__pyx_t_1; - __Pyx_RefNannySetupContext("fields", 0); - __Pyx_XDECREF(__pyx_r); - __pyx_t_1 = PyDataType_FIELDS(__pyx_v_self); - __Pyx_INCREF(((PyObject *)__pyx_t_1)); - __pyx_r = ((PyObject *)__pyx_t_1); - goto __pyx_L0; +struct __pyx_obj_5talib_7_ta_lib_EFI_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - /* function exit code */ - __pyx_L0:; - __Pyx_XGIVEREF(__pyx_r); - __Pyx_RefNannyFinishContext(); - return __pyx_r; -} +struct __pyx_obj_5talib_7_ta_lib_EMA_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_5names_names(PyArray_Descr *__pyx_v_self) { - PyObject *__pyx_r = NULL; - __Pyx_RefNannyDeclarations - PyObject *__pyx_t_1; - __Pyx_RefNannySetupContext("names", 0); +struct __pyx_obj_5talib_7_ta_lib_ER_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - __Pyx_XDECREF(__pyx_r); - __pyx_t_1 = PyDataType_NAMES(__pyx_v_self); - __Pyx_INCREF(((PyObject*)__pyx_t_1)); - __pyx_r = ((PyObject*)__pyx_t_1); - goto __pyx_L0; +struct __pyx_obj_5talib_7_ta_lib_ERI_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - /* function exit code */ - __pyx_L0:; - __Pyx_XGIVEREF(__pyx_r); - __Pyx_RefNannyFinishContext(); - return __pyx_r; -} +struct __pyx_obj_5talib_7_ta_lib_EXP_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -static CYTHON_INLINE PyArray_ArrayDescr *__pyx_f_5numpy_5dtype_8subarray_subarray(PyArray_Descr *__pyx_v_self) { - PyArray_ArrayDescr *__pyx_r; - __pyx_r = PyDataType_SUBARRAY(__pyx_v_self); - goto __pyx_L0; +struct __pyx_obj_5talib_7_ta_lib_FLOOR_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} +struct __pyx_obj_5talib_7_ta_lib_FOSC_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -static CYTHON_INLINE npy_uint64 __pyx_f_5numpy_5dtype_5flags_flags(PyArray_Descr *__pyx_v_self) { - npy_uint64 __pyx_r; +struct __pyx_obj_5talib_7_ta_lib_FRACTAL_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - __pyx_r = PyDataType_FLAGS(__pyx_v_self); - goto __pyx_L0; +struct __pyx_obj_5talib_7_ta_lib_HA_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} +struct __pyx_obj_5talib_7_ta_lib_HMA_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_7numiter_numiter(PyArrayMultiIterObject *__pyx_v_self) { - int __pyx_r; - __pyx_r = PyArray_MultiIter_NUMITER(__pyx_v_self); - goto __pyx_L0; +struct __pyx_obj_5talib_7_ta_lib_HT_DCPERIOD_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} +struct __pyx_obj_5talib_7_ta_lib_HT_DCPHASE_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_4size_size(PyArrayMultiIterObject *__pyx_v_self) { - npy_intp __pyx_r; +struct __pyx_obj_5talib_7_ta_lib_HT_PHASOR_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - __pyx_r = PyArray_MultiIter_SIZE(__pyx_v_self); - goto __pyx_L0; +struct __pyx_obj_5talib_7_ta_lib_HT_SINE_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} +struct __pyx_obj_5talib_7_ta_lib_HT_TRENDLINE_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_5index_index(PyArrayMultiIterObject *__pyx_v_self) { - npy_intp __pyx_r; - __pyx_r = PyArray_MultiIter_INDEX(__pyx_v_self); - goto __pyx_L0; +struct __pyx_obj_5talib_7_ta_lib_HT_TRENDMODE_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} +struct __pyx_obj_5talib_7_ta_lib_IMI_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_2nd_nd(PyArrayMultiIterObject *__pyx_v_self) { - int __pyx_r; +struct __pyx_obj_5talib_7_ta_lib_KAMA_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - __pyx_r = PyArray_MultiIter_NDIM(__pyx_v_self); - goto __pyx_L0; +struct __pyx_obj_5talib_7_ta_lib_KC_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} +struct __pyx_obj_5talib_7_ta_lib_KDJ_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -static CYTHON_INLINE npy_intp *__pyx_f_5numpy_9broadcast_10dimensions_dimensions(PyArrayMultiIterObject *__pyx_v_self) { - npy_intp *__pyx_r; - __pyx_r = PyArray_MultiIter_DIMS(__pyx_v_self); - goto __pyx_L0; +struct __pyx_obj_5talib_7_ta_lib_LINEARREG_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} +struct __pyx_obj_5talib_7_ta_lib_LINEARREG_ANGLE_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -static CYTHON_INLINE void **__pyx_f_5numpy_9broadcast_5iters_iters(PyArrayMultiIterObject *__pyx_v_self) { - void **__pyx_r; +struct __pyx_obj_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - __pyx_r = PyArray_MultiIter_ITERS(__pyx_v_self); - goto __pyx_L0; +struct __pyx_obj_5talib_7_ta_lib_LINEARREG_SLOPE_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; - /* function exit code */ - __pyx_L0:; - return __pyx_r; -} +struct __pyx_obj_5talib_7_ta_lib_LN_Stream { + struct __pyx_obj_5talib_7_ta_lib_Stream __pyx_base; +}; -static CYTHON_INLINE PyObject *__pyx_f_5numpy_7ndarray_4base_base(PyArrayObject *__pyx_v_self) { - PyObject *__pyx_r; - 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struct __pyx_vtabstruct_5talib_7_ta_lib_Stream __pyx_base; +}; +static struct __pyx_vtabstruct_5talib_7_ta_lib_CUMSUM_Stream *__pyx_vtabptr_5talib_7_ta_lib_CUMSUM_Stream; -static npy_int __pyx_f_5talib_7_ta_lib_check_begidx3(npy_intp __pyx_v_length, double *__pyx_v_a1, double *__pyx_v_a2, double *__pyx_v_a3) { - double __pyx_v_val; - long __pyx_v_i; - npy_int __pyx_r; - npy_intp __pyx_t_1; - int __pyx_t_2; - __pyx_t_1 = __pyx_v_length; - for (__pyx_v_i = 0; __pyx_v_i < __pyx_t_1; __pyx_v_i++) { +struct __pyx_vtabstruct_5talib_7_ta_lib_CVI_Stream { + struct __pyx_vtabstruct_5talib_7_ta_lib_Stream __pyx_base; +}; +static struct __pyx_vtabstruct_5talib_7_ta_lib_CVI_Stream *__pyx_vtabptr_5talib_7_ta_lib_CVI_Stream; - __pyx_v_val = (__pyx_v_a1[__pyx_v_i]); - __pyx_t_2 = (__pyx_v_val != __pyx_v_val); - if (__pyx_t_2) { - goto __pyx_L3_continue; +struct __pyx_vtabstruct_5talib_7_ta_lib_DEMA_Stream { + struct __pyx_vtabstruct_5talib_7_ta_lib_Stream __pyx_base; +}; +static struct 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*__pyx_kwvalues; - PyObject* values[4] = {0,0,0,0}; - int __pyx_lineno = 0; - const char *__pyx_filename = NULL; - int __pyx_clineno = 0; - PyObject *__pyx_r = 0; - __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("CCI (wrapper)", 0); - #if !CYTHON_METH_FASTCALL - #if CYTHON_ASSUME_SAFE_SIZE - __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); +}; +static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line); +static __Pyx_CachedCodeObjectType *__pyx_find_code_object(int code_line); +static void __pyx_insert_code_object(int code_line, __Pyx_CachedCodeObjectType* code_object); + +/* AddTraceback.proto */ +static void __Pyx_AddTraceback(const char *funcname, int c_line, + int py_line, const char *filename); + +/* RealImag.proto */ +#if CYTHON_CCOMPLEX + #ifdef __cplusplus + #define __Pyx_CREAL(z) ((z).real()) + #define __Pyx_CIMAG(z) ((z).imag()) #else - __pyx_nargs = PyTuple_Size(__pyx_args); if (unlikely(__pyx_nargs < 0)) return NULL; - #endif + #define __Pyx_CREAL(z) (__real__(z)) + #define __Pyx_CIMAG(z) (__imag__(z)) #endif - __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); - { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_close,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; - const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 832, __pyx_L3_error) - if (__pyx_kwds_len > 0) { - switch (__pyx_nargs) { - case 4: - values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(4, 832, __pyx_L3_error) - CYTHON_FALLTHROUGH; - case 3: - values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(4, 832, __pyx_L3_error) - CYTHON_FALLTHROUGH; - case 2: - values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if 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__Pyx_CREAL(z) ((z).real) + #define __Pyx_CIMAG(z) ((z).imag) +#endif +#if defined(__cplusplus) && CYTHON_CCOMPLEX\ + && (defined(_WIN32) || defined(__clang__) || (defined(__GNUC__) && (__GNUC__ >= 5 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4 )) || __cplusplus >= 201103) + #define __Pyx_SET_CREAL(z,x) ((z).real(x)) + #define __Pyx_SET_CIMAG(z,y) ((z).imag(y)) +#else + #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x) + #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y) +#endif - /* function exit code */ - goto __pyx_L0; - __pyx_L1_error:; - __pyx_r = NULL; - for (Py_ssize_t __pyx_temp=0; __pyx_temp < (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) { - Py_XDECREF(values[__pyx_temp]); - } - goto __pyx_L7_cleaned_up; - __pyx_L0:; - for (Py_ssize_t __pyx_temp=0; __pyx_temp < (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) { - Py_XDECREF(values[__pyx_temp]); - } - __pyx_L7_cleaned_up:; - __Pyx_RefNannyFinishContext(); - return __pyx_r; -} +/* Arithmetic.proto */ +#if CYTHON_CCOMPLEX && (1) && (!0 || __cplusplus) + #define __Pyx_c_eq_float(a, b) ((a)==(b)) + #define __Pyx_c_sum_float(a, b) ((a)+(b)) + #define __Pyx_c_diff_float(a, b) ((a)-(b)) + #define __Pyx_c_prod_float(a, b) ((a)*(b)) + #define __Pyx_c_quot_float(a, b) ((a)/(b)) + #define __Pyx_c_neg_float(a) (-(a)) + #ifdef __cplusplus + #define __Pyx_c_is_zero_float(z) ((z)==(float)0) + #define __Pyx_c_conj_float(z) (::std::conj(z)) + #if 1 + #define __Pyx_c_abs_float(z) (::std::abs(z)) + #define __Pyx_c_pow_float(a, b) (::std::pow(a, b)) + #endif + #else + #define __Pyx_c_is_zero_float(z) ((z)==0) + #define __Pyx_c_conj_float(z) (conjf(z)) + #if 1 + #define __Pyx_c_abs_float(z) (cabsf(z)) + #define __Pyx_c_pow_float(a, b) (cpowf(a, b)) + #endif + #endif +#else + static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex, __pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex, __pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex, __pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex, __pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex, __pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex); + static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex); + #if 1 + static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex); + static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex, __pyx_t_float_complex); + #endif +#endif -static PyObject *__pyx_pf_5talib_7_ta_lib_62CCI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod) { - npy_intp __pyx_v_length; - int 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__Pyx_c_conj_double(z) (::std::conj(z)) + #if 1 + #define __Pyx_c_abs_double(z) (::std::abs(z)) + #define __Pyx_c_pow_double(a, b) (::std::pow(a, b)) + #endif + #else + #define __Pyx_c_is_zero_double(z) ((z)==0) + #define __Pyx_c_conj_double(z) (conj(z)) + #if 1 + #define __Pyx_c_abs_double(z) (cabs(z)) + #define __Pyx_c_pow_double(a, b) (cpow(a, b)) + #endif + #endif +#else + static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex, __pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex, __pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex, __pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex, __pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex, __pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex); + static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex); + #if 1 + static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex); + static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex, __pyx_t_double_complex); + #endif +#endif - __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_check_array(__pyx_v_high)); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 853, __pyx_L1_error) - __Pyx_GOTREF(__pyx_t_1); - __Pyx_DECREF_SET(__pyx_v_high, ((PyArrayObject *)__pyx_t_1)); - __pyx_t_1 = 0; +/* Arithmetic.proto */ +#if CYTHON_CCOMPLEX && (1) && (!0 || __cplusplus) + #define __Pyx_c_eq_long__double(a, b) ((a)==(b)) + #define __Pyx_c_sum_long__double(a, b) ((a)+(b)) + #define __Pyx_c_diff_long__double(a, b) ((a)-(b)) + #define __Pyx_c_prod_long__double(a, b) ((a)*(b)) + #define __Pyx_c_quot_long__double(a, b) 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*)__pyx_v_outreal); - goto __pyx_L0; +/* CIntFromPy.proto */ +static CYTHON_INLINE TA_RangeType __Pyx_PyLong_As_TA_RangeType(PyObject *); +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyLong_From_long(long value); - /* function exit code */ - __pyx_L1_error:; - __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.CCI", __pyx_clineno, __pyx_lineno, __pyx_filename); - __pyx_r = NULL; - __pyx_L0:; - __Pyx_XDECREF((PyObject *)__pyx_v_outreal); - __Pyx_XDECREF((PyObject *)__pyx_v_high); - __Pyx_XDECREF((PyObject *)__pyx_v_low); - __Pyx_XDECREF((PyObject *)__pyx_v_close); - __Pyx_XGIVEREF(__pyx_r); - __Pyx_RefNannyFinishContext(); - return __pyx_r; -} +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyLong_From_TA_OptInputParameterType(TA_OptInputParameterType value); +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyLong_From_TA_FuncFlags(TA_FuncFlags value); -/* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_65CDL2CROWS(PyObject *__pyx_self, -#if CYTHON_METH_FASTCALL -PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyLong_From_TA_InputFlags(TA_InputFlags value); + +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyLong_From_TA_OutputFlags(TA_OutputFlags value); + +/* CIntToPy.proto */ +static CYTHON_INLINE PyObject* __Pyx_PyLong_From_npy_intp(npy_intp value); + +/* CIntFromPy.proto */ +static CYTHON_INLINE npy_intp __Pyx_PyLong_As_npy_intp(PyObject *); + +/* FormatTypeName.proto */ +#if CYTHON_COMPILING_IN_LIMITED_API +typedef PyObject *__Pyx_TypeName; +#define __Pyx_FMT_TYPENAME "%U" +#define __Pyx_DECREF_TypeName(obj) Py_XDECREF(obj) +#if __PYX_LIMITED_VERSION_HEX >= 0x030d0000 +#define __Pyx_PyType_GetFullyQualifiedName PyType_GetFullyQualifiedName #else -PyObject *__pyx_args, PyObject *__pyx_kwds +static __Pyx_TypeName __Pyx_PyType_GetFullyQualifiedName(PyTypeObject* tp); #endif -); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_64CDL2CROWS, "CDL2CROWS(ndarray open, ndarray high, ndarray low, ndarray close)\n\nCDL2CROWS(open, high, low, close)\n\nTwo Crows (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"); -static PyMethodDef __pyx_mdef_5talib_7_ta_lib_65CDL2CROWS = {"CDL2CROWS", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_65CDL2CROWS, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_64CDL2CROWS}; -static PyObject *__pyx_pw_5talib_7_ta_lib_65CDL2CROWS(PyObject *__pyx_self, -#if CYTHON_METH_FASTCALL -PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds +#else // !LIMITED_API +typedef const char *__Pyx_TypeName; +#define __Pyx_FMT_TYPENAME "%.200s" +#define __Pyx_PyType_GetFullyQualifiedName(tp) ((tp)->tp_name) +#define __Pyx_DECREF_TypeName(obj) +#endif + +/* CIntFromPy.proto */ +static CYTHON_INLINE long __Pyx_PyLong_As_long(PyObject *); + +/* FastTypeChecks.proto */ +#if CYTHON_COMPILING_IN_CPYTHON +#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type) +#define __Pyx_TypeCheck2(obj, type1, type2) __Pyx_IsAnySubtype2(Py_TYPE(obj), (PyTypeObject *)type1, (PyTypeObject *)type2) +static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b); +static CYTHON_INLINE int __Pyx_IsAnySubtype2(PyTypeObject *cls, PyTypeObject *a, PyTypeObject *b); +static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type); +static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2); #else -PyObject *__pyx_args, PyObject *__pyx_kwds +#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type) +#define __Pyx_TypeCheck2(obj, type1, type2) (PyObject_TypeCheck(obj, (PyTypeObject *)type1) || PyObject_TypeCheck(obj, (PyTypeObject *)type2)) +#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type) +static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2) { + return PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2); +} #endif -) { - PyArrayObject *__pyx_v_open = 0; - PyArrayObject *__pyx_v_high = 0; - PyArrayObject *__pyx_v_low = 0; - PyArrayObject *__pyx_v_close = 0; - #if !CYTHON_METH_FASTCALL - CYTHON_UNUSED Py_ssize_t __pyx_nargs; - #endif - CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[4] = {0,0,0,0}; - int __pyx_lineno = 0; - const char *__pyx_filename = NULL; - int __pyx_clineno = 0; - PyObject *__pyx_r = 0; - __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("CDL2CROWS (wrapper)", 0); - #if !CYTHON_METH_FASTCALL - #if CYTHON_ASSUME_SAFE_SIZE - __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); - #else - __pyx_nargs = PyTuple_Size(__pyx_args); if (unlikely(__pyx_nargs < 0)) return NULL; - #endif +#define __Pyx_PyErr_ExceptionMatches2(err1, err2) __Pyx_PyErr_GivenExceptionMatches2(__Pyx_PyErr_CurrentExceptionType(), err1, err2) +#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception) +#ifdef PyExceptionInstance_Check + #define __Pyx_PyBaseException_Check(obj) PyExceptionInstance_Check(obj) +#else + #define __Pyx_PyBaseException_Check(obj) __Pyx_TypeCheck(obj, PyExc_BaseException) +#endif + +/* GetRuntimeVersion.proto */ +#if __PYX_LIMITED_VERSION_HEX < 0x030b0000 +static unsigned long __Pyx_cached_runtime_version = 0; +static void __Pyx_init_runtime_version(void); +#else +#define __Pyx_init_runtime_version() +#endif +static unsigned long __Pyx_get_runtime_version(void); + +/* CheckBinaryVersion.proto */ +static int __Pyx_check_binary_version(unsigned long ct_version, unsigned long rt_version, int allow_newer); + +/* DecompressString.proto */ +static PyObject *__Pyx_DecompressString(const char *s, Py_ssize_t length, int algo); + +/* MultiPhaseInitModuleState.proto */ +#if CYTHON_PEP489_MULTI_PHASE_INIT && CYTHON_USE_MODULE_STATE +static PyObject *__Pyx_State_FindModule(void*); +static int __Pyx_State_AddModule(PyObject* module, void*); +static int __Pyx_State_RemoveModule(void*); +#elif CYTHON_USE_MODULE_STATE +#define __Pyx_State_FindModule PyState_FindModule +#define __Pyx_State_AddModule PyState_AddModule +#define __Pyx_State_RemoveModule PyState_RemoveModule +#endif + +/* #### Code section: module_declarations ### */ +/* CythonABIVersion.proto */ +#if CYTHON_COMPILING_IN_LIMITED_API + #if CYTHON_METH_FASTCALL + #define __PYX_FASTCALL_ABI_SUFFIX "_fastcall" + #else + #define __PYX_FASTCALL_ABI_SUFFIX + #endif + #define __PYX_LIMITED_ABI_SUFFIX "limited" __PYX_FASTCALL_ABI_SUFFIX __PYX_AM_SEND_ABI_SUFFIX +#else + #define __PYX_LIMITED_ABI_SUFFIX +#endif +#if __PYX_HAS_PY_AM_SEND == 1 + #define __PYX_AM_SEND_ABI_SUFFIX +#elif __PYX_HAS_PY_AM_SEND == 2 + #define __PYX_AM_SEND_ABI_SUFFIX "amsendbackport" +#else + #define __PYX_AM_SEND_ABI_SUFFIX "noamsend" +#endif +#ifndef __PYX_MONITORING_ABI_SUFFIX + #define __PYX_MONITORING_ABI_SUFFIX +#endif +#if CYTHON_USE_TP_FINALIZE + #define __PYX_TP_FINALIZE_ABI_SUFFIX +#else + #define __PYX_TP_FINALIZE_ABI_SUFFIX "nofinalize" +#endif +#if CYTHON_USE_FREELISTS || !defined(__Pyx_AsyncGen_USED) + #define __PYX_FREELISTS_ABI_SUFFIX +#else + #define __PYX_FREELISTS_ABI_SUFFIX "nofreelists" +#endif +#define CYTHON_ABI __PYX_ABI_VERSION __PYX_LIMITED_ABI_SUFFIX __PYX_MONITORING_ABI_SUFFIX __PYX_TP_FINALIZE_ABI_SUFFIX __PYX_FREELISTS_ABI_SUFFIX __PYX_AM_SEND_ABI_SUFFIX +#define __PYX_ABI_MODULE_NAME "_cython_" CYTHON_ABI +#define __PYX_TYPE_MODULE_PREFIX __PYX_ABI_MODULE_NAME "." + +static CYTHON_INLINE PyTypeObject *__pyx_f_5numpy_5dtype_7typeobj_typeobj(PyArray_Descr *__pyx_v_self); /* proto*/ +static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4kind_kind(PyArray_Descr *__pyx_v_self); /* proto*/ +static CYTHON_INLINE char __pyx_f_5numpy_5dtype_4type_type(PyArray_Descr *__pyx_v_self); /* proto*/ +static CYTHON_INLINE char __pyx_f_5numpy_5dtype_9byteorder_byteorder(PyArray_Descr *__pyx_v_self); /* proto*/ +static CYTHON_INLINE int __pyx_f_5numpy_5dtype_8type_num_type_num(PyArray_Descr *__pyx_v_self); /* proto*/ +static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_8itemsize_itemsize(PyArray_Descr *__pyx_v_self); /* proto*/ +static CYTHON_INLINE npy_intp __pyx_f_5numpy_5dtype_9alignment_alignment(PyArray_Descr *__pyx_v_self); /* proto*/ +static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_6fields_fields(PyArray_Descr *__pyx_v_self); /* proto*/ +static CYTHON_INLINE PyObject *__pyx_f_5numpy_5dtype_5names_names(PyArray_Descr *__pyx_v_self); /* proto*/ +static CYTHON_INLINE PyArray_ArrayDescr *__pyx_f_5numpy_5dtype_8subarray_subarray(PyArray_Descr *__pyx_v_self); /* proto*/ +static CYTHON_INLINE npy_uint64 __pyx_f_5numpy_5dtype_5flags_flags(PyArray_Descr *__pyx_v_self); /* proto*/ +static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_7numiter_numiter(PyArrayMultiIterObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_4size_size(PyArrayMultiIterObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE npy_intp __pyx_f_5numpy_9broadcast_5index_index(PyArrayMultiIterObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE int __pyx_f_5numpy_9broadcast_2nd_nd(PyArrayMultiIterObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE npy_intp *__pyx_f_5numpy_9broadcast_10dimensions_dimensions(PyArrayMultiIterObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE void **__pyx_f_5numpy_9broadcast_5iters_iters(PyArrayMultiIterObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE PyObject *__pyx_f_5numpy_7ndarray_4base_base(PyArrayObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE PyArray_Descr *__pyx_f_5numpy_7ndarray_5descr_descr(PyArrayObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE int __pyx_f_5numpy_7ndarray_4ndim_ndim(PyArrayObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_5shape_shape(PyArrayObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE npy_intp *__pyx_f_5numpy_7ndarray_7strides_strides(PyArrayObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE npy_intp __pyx_f_5numpy_7ndarray_4size_size(PyArrayObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE char *__pyx_f_5numpy_7ndarray_4data_data(PyArrayObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_3nin_nin(PyUFuncObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_4nout_nout(PyUFuncObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_5nargs_nargs(PyUFuncObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE PyUFuncGenericFunction *__pyx_f_5numpy_5ufunc_9functions_functions(PyUFuncObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE void **__pyx_f_5numpy_5ufunc_4data_data(PyUFuncObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE int __pyx_f_5numpy_5ufunc_6ntypes_ntypes(PyUFuncObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_4name_name(PyUFuncObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE char const *__pyx_f_5numpy_5ufunc_3doc_doc(PyUFuncObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE void *__pyx_f_5numpy_5ufunc_3ptr_ptr(PyUFuncObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_3obj_obj(PyUFuncObject *__pyx_v_self); /* proto*/ +static CYTHON_INLINE PyObject *__pyx_f_5numpy_5ufunc_9userloops_userloops(PyUFuncObject *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_6Stream__out_range(CYTHON_UNUSED struct __pyx_obj_5talib_7_ta_lib_Stream *__pyx_v_self, CYTHON_UNUSED int *__pyx_v_outbegidx, CYTHON_UNUSED int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_6Stream__advance(CYTHON_UNUSED struct __pyx_obj_5talib_7_ta_lib_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_9AC_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_AC_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_9AC_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_AC_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15ACCBANDS_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_ACCBANDS_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15ACCBANDS_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_ACCBANDS_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11ACOS_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_ACOS_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11ACOS_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_ACOS_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_9AD_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_AD_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_9AD_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_AD_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10ADD_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_ADD_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10ADD_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_ADD_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_12ADOSC_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_ADOSC_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_12ADOSC_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_ADOSC_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10ADR_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_ADR_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10ADR_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_ADR_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10ADX_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_ADX_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10ADX_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_ADX_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11ADXR_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_ADXR_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11ADXR_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_ADXR_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_9AO_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_AO_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_9AO_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_AO_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10APO_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_APO_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10APO_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_APO_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_12AROON_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_AROON_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_12AROON_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_AROON_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15AROONOSC_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_AROONOSC_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15AROONOSC_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_AROONOSC_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11ASIN_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_ASIN_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11ASIN_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_ASIN_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11ATAN_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_ATAN_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11ATAN_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_ATAN_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10ATR_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_ATR_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10ATR_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_ATR_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13AVGDEV_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_AVGDEV_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13AVGDEV_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_AVGDEV_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15AVGPRICE_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_AVGPRICE_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15AVGPRICE_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_AVGPRICE_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13BBANDS_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_BBANDS_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13BBANDS_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_BBANDS_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11BETA_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_BETA_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11BETA_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_BETA_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10BOP_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_BOP_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10BOP_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_BOP_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10CCI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CCI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10CCI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CCI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_16CDL2CROWS_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDL2CROWS_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_16CDL2CROWS_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDL2CROWS_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDL3BLACKCROWS_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDL3BLACKCROWS_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_17CDL3INSIDE_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDL3INSIDE_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_17CDL3INSIDE_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDL3INSIDE_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDL3LINESTRIKE_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDL3LINESTRIKE_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_18CDL3OUTSIDE_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDL3OUTSIDE_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_18CDL3OUTSIDE_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDL3OUTSIDE_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLABANDONEDBABY_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLABANDONEDBABY_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_18CDLBELTHOLD_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLBELTHOLD_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_18CDLBELTHOLD_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLBELTHOLD_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_19CDLBREAKAWAY_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLBREAKAWAY_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_19CDLBREAKAWAY_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLBREAKAWAY_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_14CDLDOJI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLDOJI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_14CDLDOJI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLDOJI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_18CDLDOJISTAR_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLDOJISTAR_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_18CDLDOJISTAR_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLDOJISTAR_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_19CDLENGULFING_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLENGULFING_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_19CDLENGULFING_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLENGULFING_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGSTAR_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGSTAR_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_16CDLHAMMER_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLHAMMER_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_16CDLHAMMER_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLHAMMER_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_20CDLHANGINGMAN_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLHANGINGMAN_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_20CDLHANGINGMAN_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLHANGINGMAN_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_16CDLHARAMI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLHARAMI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_16CDLHARAMI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLHARAMI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_21CDLHARAMICROSS_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLHARAMICROSS_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_21CDLHARAMICROSS_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLHARAMICROSS_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_18CDLHIGHWAVE_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLHIGHWAVE_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_18CDLHIGHWAVE_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLHIGHWAVE_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_17CDLHIKKAKE_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKE_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_17CDLHIKKAKE_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKE_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_16CDLINNECK_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLINNECK_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_16CDLINNECK_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLINNECK_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_17CDLKICKING_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLKICKING_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_17CDLKICKING_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLKICKING_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_18CDLLONGLINE_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLLONGLINE_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_18CDLLONGLINE_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLLONGLINE_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_18CDLMARUBOZU_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLMARUBOZU_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_18CDLMARUBOZU_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLMARUBOZU_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLMATCHINGLOW_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLMATCHINGLOW_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_17CDLMATHOLD_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLMATHOLD_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_17CDLMATHOLD_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLMATHOLD_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGSTAR_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGSTAR_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_16CDLONNECK_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLONNECK_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_16CDLONNECK_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLONNECK_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_18CDLPIERCING_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLPIERCING_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_18CDLPIERCING_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLPIERCING_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_19CDLSHORTLINE_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLSHORTLINE_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_19CDLSHORTLINE_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLSHORTLINE_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLSPINNINGTOP_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLSPINNINGTOP_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_16CDLTAKURI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLTAKURI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_16CDLTAKURI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLTAKURI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_19CDLTASUKIGAP_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLTASUKIGAP_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_19CDLTASUKIGAP_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLTASUKIGAP_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_19CDLTHRUSTING_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLTHRUSTING_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_19CDLTHRUSTING_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLTHRUSTING_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_17CDLTRISTAR_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLTRISTAR_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_17CDLTRISTAR_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLTRISTAR_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11CEIL_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CEIL_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11CEIL_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CEIL_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10CMF_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CMF_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10CMF_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CMF_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10CMO_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CMO_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10CMO_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CMO_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11CMOU_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CMOU_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11CMOU_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CMOU_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_14COPPOCK_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_COPPOCK_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_14COPPOCK_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_COPPOCK_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13CORREL_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CORREL_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13CORREL_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CORREL_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10COS_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_COS_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10COS_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_COS_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11COSH_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_COSH_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11COSH_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_COSH_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13CUMSUM_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CUMSUM_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13CUMSUM_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CUMSUM_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10CVI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_CVI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10CVI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_CVI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11DEMA_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_DEMA_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11DEMA_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_DEMA_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10DIV_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_DIV_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10DIV_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_DIV_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15DONCHIAN_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_DONCHIAN_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15DONCHIAN_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_DONCHIAN_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10DPO_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_DPO_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10DPO_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_DPO_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_9DX_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_DX_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_9DX_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_DX_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10EFI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_EFI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10EFI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_EFI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10EMA_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_EMA_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10EMA_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_EMA_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_9ER_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_ER_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_9ER_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_ER_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10ERI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_ERI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10ERI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_ERI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10EXP_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_EXP_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10EXP_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_EXP_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_12FLOOR_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_FLOOR_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_12FLOOR_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_FLOOR_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11FOSC_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_FOSC_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11FOSC_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_FOSC_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_14FRACTAL_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_FRACTAL_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_14FRACTAL_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_FRACTAL_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_9HA_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_HA_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_9HA_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_HA_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10HMA_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_HMA_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10HMA_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_HMA_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_18HT_DCPERIOD_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_HT_DCPERIOD_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_18HT_DCPERIOD_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_HT_DCPERIOD_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_17HT_DCPHASE_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_HT_DCPHASE_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_17HT_DCPHASE_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_HT_DCPHASE_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_16HT_PHASOR_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_HT_PHASOR_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_16HT_PHASOR_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_HT_PHASOR_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_14HT_SINE_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_HT_SINE_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_14HT_SINE_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_HT_SINE_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_19HT_TRENDLINE_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_HT_TRENDLINE_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_19HT_TRENDLINE_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_HT_TRENDLINE_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_19HT_TRENDMODE_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_HT_TRENDMODE_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_19HT_TRENDMODE_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_HT_TRENDMODE_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10IMI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_IMI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10IMI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_IMI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11KAMA_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_KAMA_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11KAMA_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_KAMA_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_9KC_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_KC_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_9KC_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_KC_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10KDJ_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_KDJ_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10KDJ_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_KDJ_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_16LINEARREG_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_16LINEARREG_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_ANGLE_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_ANGLE_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_SLOPE_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_SLOPE_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_9LN_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_LN_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_9LN_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_LN_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_12LOG10_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_LOG10_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_12LOG10_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_LOG10_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_9MA_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MA_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_9MA_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MA_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11MACD_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MACD_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11MACD_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MACD_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_14MACDEXT_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MACDEXT_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_14MACDEXT_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MACDEXT_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_14MACDFIX_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MACDFIX_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_14MACDFIX_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MACDFIX_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11MAMA_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MAMA_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11MAMA_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MAMA_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15MARKETFI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MARKETFI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15MARKETFI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MARKETFI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_12MASSI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MASSI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_12MASSI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MASSI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11MAVP_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MAVP_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11MAVP_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MAVP_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10MAX_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MAX_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10MAX_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MAX_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15MAXINDEX_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MAXINDEX_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15MAXINDEX_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MAXINDEX_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15MEDPRICE_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MEDPRICE_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15MEDPRICE_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MEDPRICE_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10MFI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MFI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10MFI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MFI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15MIDPOINT_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MIDPOINT_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15MIDPOINT_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MIDPOINT_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15MIDPRICE_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MIDPRICE_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15MIDPRICE_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MIDPRICE_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10MIN_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MIN_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10MIN_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MIN_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15MININDEX_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MININDEX_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15MININDEX_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MININDEX_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13MINMAX_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MINMAX_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13MINMAX_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MINMAX_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_18MINMAXINDEX_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MINMAXINDEX_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_18MINMAXINDEX_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MINMAXINDEX_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15MINUS_DI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MINUS_DI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15MINUS_DI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MINUS_DI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15MINUS_DM_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MINUS_DM_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15MINUS_DM_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MINUS_DM_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10MOM_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MOM_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10MOM_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MOM_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11MULT_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_MULT_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11MULT_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_MULT_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11NATR_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_NATR_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11NATR_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_NATR_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10NVI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_NVI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10NVI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_NVI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10OBV_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_OBV_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10OBV_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_OBV_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_17PERCENTILE_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_PERCENTILE_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_17PERCENTILE_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_PERCENTILE_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_18PERCENTRANK_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_PERCENTRANK_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_18PERCENTRANK_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_PERCENTRANK_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_14PLUS_DI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_PLUS_DI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_14PLUS_DI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_PLUS_DI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_14PLUS_DM_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_PLUS_DM_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_14PLUS_DM_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_PLUS_DM_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10PPO_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_PPO_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10PPO_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_PPO_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10PVI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_PVI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10PVI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_PVI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10PVO_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_PVO_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10PVO_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_PVO_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10PVT_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_PVT_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10PVT_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_PVT_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13QSTICK_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_QSTICK_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13QSTICK_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_QSTICK_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10RMA_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_RMA_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10RMA_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_RMA_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10ROC_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_ROC_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10ROC_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_ROC_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11ROCP_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_ROCP_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11ROCP_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_ROCP_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11ROCR_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_ROCR_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11ROCR_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_ROCR_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_14ROCR100_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_ROCR100_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_14ROCR100_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_ROCR100_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10RSI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_RSI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10RSI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_RSI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10RVI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_RVI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10RVI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_RVI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11RVOL_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_RVOL_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11RVOL_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_RVOL_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10SAR_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_SAR_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10SAR_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_SAR_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13SAREXT_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_SAREXT_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13SAREXT_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_SAREXT_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10SIN_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_SIN_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10SIN_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_SIN_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11SINH_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_SINH_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11SINH_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_SINH_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10SMA_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_SMA_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10SMA_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_SMA_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10SMI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_SMI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10SMI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_SMI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11SQRT_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_SQRT_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11SQRT_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_SQRT_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13STDDEV_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_STDDEV_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13STDDEV_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_STDDEV_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_12STOCH_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_STOCH_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_12STOCH_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_STOCH_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13STOCHF_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_STOCHF_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13STOCHF_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_STOCHF_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15STOCHRSI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_STOCHRSI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15STOCHRSI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_STOCHRSI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10SUB_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_SUB_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10SUB_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_SUB_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10SUM_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_SUM_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10SUM_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_SUM_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_17SUPERTREND_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_SUPERTREND_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_17SUPERTREND_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_SUPERTREND_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_9T3_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_T3_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_9T3_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_T3_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10TAN_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_TAN_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10TAN_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_TAN_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11TANH_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_TANH_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11TANH_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_TANH_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11TEMA_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_TEMA_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11TEMA_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_TEMA_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13TRANGE_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_TRANGE_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13TRANGE_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_TRANGE_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_12TRIMA_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_TRIMA_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_12TRIMA_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_TRIMA_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11TRIX_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_TRIX_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11TRIX_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_TRIX_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10TSF_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_TSF_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10TSF_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_TSF_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10TSI_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_TSI_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10TSI_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_TSI_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15TYPPRICE_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_TYPPRICE_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15TYPPRICE_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_TYPPRICE_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13ULTOSC_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_ULTOSC_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13ULTOSC_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_ULTOSC_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10VAR_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_VAR_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10VAR_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_VAR_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10VHF_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_VHF_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10VHF_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_VHF_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13VORTEX_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_VORTEX_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_13VORTEX_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_VORTEX_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11VWAP_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_VWAP_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11VWAP_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_VWAP_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11VWMA_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_VWMA_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_11VWMA_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_VWMA_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10WAD_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_WAD_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10WAD_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_WAD_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15WCLPRICE_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_WCLPRICE_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_15WCLPRICE_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_WCLPRICE_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_12WILLR_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_WILLR_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_12WILLR_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_WILLR_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10WMA_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_WMA_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_10WMA_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_WMA_Stream *__pyx_v_self); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_12ZLEMA_Stream__out_range(struct __pyx_obj_5talib_7_ta_lib_ZLEMA_Stream *__pyx_v_self, int *__pyx_v_outbegidx, int *__pyx_v_outnbelement); /* proto*/ +static TA_RetCode __pyx_f_5talib_7_ta_lib_12ZLEMA_Stream__advance(struct __pyx_obj_5talib_7_ta_lib_ZLEMA_Stream *__pyx_v_self); /* proto*/ + +/* Module declarations from "libc.string" */ + +/* Module declarations from "libc.stdio" */ + +/* Module declarations from "__builtin__" */ + +/* Module declarations from "cpython.type" */ + +/* Module declarations from "cpython" */ + +/* Module declarations from "cpython.object" */ + +/* Module declarations from "cpython.ref" */ + +/* Module declarations from "numpy" */ + +/* Module declarations from "numpy" */ +static CYTHON_INLINE int __pyx_f_5numpy_import_array(void); /*proto*/ + +/* Module declarations from "cython" */ + +/* Module declarations from "talib._ta_lib" */ +static double __pyx_v_5talib_7_ta_lib_NaN; +static PyObject *__pyx_f_5talib_7_ta_lib__ta_check_success(PyObject *, TA_RetCode, int __pyx_skip_dispatch); /*proto*/ +static PyArrayObject *__pyx_f_5talib_7_ta_lib_check_array(PyArrayObject *); /*proto*/ +static npy_intp __pyx_f_5talib_7_ta_lib_check_length2(PyArrayObject *, PyArrayObject *); /*proto*/ +static npy_intp __pyx_f_5talib_7_ta_lib_check_length3(PyArrayObject *, PyArrayObject *, PyArrayObject *); /*proto*/ +static npy_intp __pyx_f_5talib_7_ta_lib_check_length4(PyArrayObject *, PyArrayObject *, PyArrayObject *, PyArrayObject *); /*proto*/ +static npy_int __pyx_f_5talib_7_ta_lib_check_begidx1(npy_intp, double *); /*proto*/ +static npy_int __pyx_f_5talib_7_ta_lib_check_begidx2(npy_intp, double *, double *); /*proto*/ +static npy_int __pyx_f_5talib_7_ta_lib_check_begidx3(npy_intp, double *, double *, double *); /*proto*/ +static npy_int __pyx_f_5talib_7_ta_lib_check_begidx4(npy_intp, double *, double *, double *, double *); /*proto*/ +static PyArrayObject *__pyx_f_5talib_7_ta_lib_make_double_array(npy_intp, int); /*proto*/ +static PyArrayObject *__pyx_f_5talib_7_ta_lib_make_int_array(npy_intp, int); /*proto*/ +static TA_FuncHandle const *__pyx_f_5talib_7_ta_lib___ta_getFuncHandle(char *); /*proto*/ +static TA_ParamHolder *__pyx_f_5talib_7_ta_lib___ta_paramHolderAlloc(char *); /*proto*/ +static int __pyx_f_5talib_7_ta_lib___ta_paramHolderFree(TA_ParamHolder *); /*proto*/ +static int __pyx_f_5talib_7_ta_lib___ta_setOptInputParamInteger(TA_ParamHolder *, int, int); /*proto*/ +static int __pyx_f_5talib_7_ta_lib___ta_setOptInputParamReal(TA_ParamHolder *, int, double); /*proto*/ +static int __pyx_f_5talib_7_ta_lib___ta_getLookback(TA_ParamHolder *); /*proto*/ +static npy_intp __pyx_f_5talib_7_ta_lib_check_length(PyObject *); /*proto*/ +static int __pyx_f_5talib_7_ta_lib_check_begidx(npy_intp, PyObject *); /*proto*/ +static PyArrayObject *__pyx_f_5talib_7_ta_lib__stream_input(PyObject *); /*proto*/ +static int __pyx_f_5talib_7_ta_lib__stream_history(npy_intp, int); /*proto*/ +static PyObject *__pyx_f_5talib_7_ta_lib__stream_open_failed(PyObject *, TA_RetCode, int, int); /*proto*/ +static PyObject *__pyx_f_5talib_7_ta_lib__stream_like(PyObject *, PyObject *); /*proto*/ +/* #### Code section: typeinfo ### */ +/* #### Code section: before_global_var ### */ +#define __Pyx_MODULE_NAME "talib._ta_lib" +extern int __pyx_module_is_main_talib___ta_lib; +int __pyx_module_is_main_talib___ta_lib = 0; + +/* Implementation of "talib._ta_lib" */ +/* #### Code section: global_var ### */ +static PyObject *__pyx_builtin_object; +static PyObject *__pyx_builtin_property; +static PyObject *__pyx_builtin_staticmethod; +static PyObject *__pyx_builtin_enumerate; +/* #### Code section: string_decls ### */ +/* #### Code section: decls ### */ +static PyObject *__pyx_pf_5talib_7_ta_lib__ta_check_success(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_function_name, TA_RetCode __pyx_v_ret_code); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_2_ta_initialize(CYTHON_UNUSED PyObject *__pyx_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_4_ta_shutdown(CYTHON_UNUSED PyObject *__pyx_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_7MA_Type___init__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_7MA_Type_2__getitem__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_type_); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_6_ta_func_unst_id(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_name); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8_ta_set_unstable_period(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_name, PyObject *__pyx_v_period); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10_ta_get_unstable_period(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_name); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12_ta_set_compatibility(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_value); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14_ta_get_compatibility(CYTHON_UNUSED PyObject *__pyx_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16_ta_set_candle_settings(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_settingtype, PyObject *__pyx_v_rangetype, PyObject *__pyx_v_avgperiod, PyObject *__pyx_v_factor); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18_ta_restore_candle_default_settings(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_settingtype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_20AC(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_signalperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22ACCBANDS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24ACOS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26AD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_28ADD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real0, PyArrayObject *__pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_30ADOSC(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume, int __pyx_v_fastperiod, int __pyx_v_slowperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_32ADR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_34ADX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_36ADXR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_38AO(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_fastperiod, int __pyx_v_slowperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_40APO(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_42AROON(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_44AROONOSC(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_46ASIN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_48ATAN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_50ATR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_52AVGDEV(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_54AVGPRICE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_56BBANDS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_nbdevup, double __pyx_v_nbdevdn, int __pyx_v_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_58BETA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real0, PyArrayObject *__pyx_v_real1, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_60BOP(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_62CCI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_64CDL2CROWS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_66CDL3BLACKCROWS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_68CDL3INSIDE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_70CDL3LINESTRIKE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_72CDL3OUTSIDE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_74CDL3STARSINSOUTH(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_76CDL3WHITESOLDIERS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_78CDLABANDONEDBABY(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_80CDLADVANCEBLOCK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_82CDLBELTHOLD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_84CDLBREAKAWAY(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_86CDLCLOSINGMARUBOZU(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_88CDLCONCEALBABYSWALL(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_90CDLCOUNTERATTACK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_92CDLDARKCLOUDCOVER(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_94CDLDOJI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_96CDLDOJISTAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_98CDLDRAGONFLYDOJI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_100CDLENGULFING(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_102CDLEVENINGDOJISTAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_104CDLEVENINGSTAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_106CDLGAPSIDESIDEWHITE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_108CDLGRAVESTONEDOJI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_110CDLHAMMER(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_112CDLHANGINGMAN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_114CDLHARAMI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_116CDLHARAMICROSS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_118CDLHIGHWAVE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_120CDLHIKKAKE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_122CDLHIKKAKEMOD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_124CDLHOMINGPIGEON(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_126CDLIDENTICAL3CROWS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_128CDLINNECK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_130CDLINVERTEDHAMMER(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_132CDLKICKING(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_134CDLKICKINGBYLENGTH(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_136CDLLADDERBOTTOM(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_138CDLLONGLEGGEDDOJI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_140CDLLONGLINE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_142CDLMARUBOZU(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_144CDLMATCHINGLOW(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_146CDLMATHOLD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_148CDLMORNINGDOJISTAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_150CDLMORNINGSTAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_152CDLONNECK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_154CDLPIERCING(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_156CDLRICKSHAWMAN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_158CDLRISEFALL3METHODS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_160CDLSEPARATINGLINES(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_162CDLSHOOTINGSTAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_164CDLSHORTLINE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_166CDLSPINNINGTOP(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_168CDLSTALLEDPATTERN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_170CDLSTICKSANDWICH(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_172CDLTAKURI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_174CDLTASUKIGAP(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_176CDLTHRUSTING(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_178CDLTRISTAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_180CDLUNIQUE3RIVER(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_182CDLUPSIDEGAP2CROWS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_184CDLXSIDEGAP3METHODS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_186CEIL(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_188CMF(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_190CMO(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_192CMOU(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_194COPPOCK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_wmaperiod, int __pyx_v_roc1period, int __pyx_v_roc2period); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_196CORREL(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real0, PyArrayObject *__pyx_v_real1, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_198COS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_200COSH(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_202CUMSUM(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_204CVI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod, int __pyx_v_rocperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_206DEMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_208DIV(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real0, PyArrayObject *__pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_210DONCHIAN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_212DPO(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_214DX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_216EFI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_218EMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_220ER(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_222ERI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_224EXP(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_226FLOOR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_228FOSC(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_230FRACTAL(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_leftbars, int __pyx_v_rightbars); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_232HA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_234HMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_236HT_DCPERIOD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_238HT_DCPHASE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_240HT_PHASOR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_242HT_SINE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_244HT_TRENDLINE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_246HT_TRENDMODE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_248IMI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_250KAMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_252KC(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod, int __pyx_v_atrperiod, double __pyx_v_nbdev); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_254KDJ(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_fastk_period, int __pyx_v_slowk_period, int __pyx_v_slowk_matype, int __pyx_v_slowd_period, int __pyx_v_slowd_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_256LINEARREG(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_258LINEARREG_ANGLE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_260LINEARREG_INTERCEPT(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_262LINEARREG_SLOPE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_264LN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_266LOG10(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_268MA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, int __pyx_v_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_270MACD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_signalperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_272MACDEXT(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_fastperiod, int __pyx_v_fastmatype, int __pyx_v_slowperiod, int __pyx_v_slowmatype, int __pyx_v_signalperiod, int __pyx_v_signalmatype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_274MACDFIX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_signalperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_276MAMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, double __pyx_v_fastlimit, double __pyx_v_slowlimit); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_278MARKETFI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_280MASSI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_fastperiod, int __pyx_v_slowperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_282MAVP(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, PyArrayObject *__pyx_v_periods, int __pyx_v_minperiod, int __pyx_v_maxperiod, int __pyx_v_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_284MAX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_286MAXINDEX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_288MEDPRICE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_290MFI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_292MIDPOINT(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_294MIDPRICE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_296MIN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_298MININDEX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_300MINMAX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_302MINMAXINDEX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_304MINUS_DI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_306MINUS_DM(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_308MOM(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_310MULT(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real0, PyArrayObject *__pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_312NATR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_314NVI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_316OBV(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, PyArrayObject *__pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_318PERCENTILE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_percentile); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_320PERCENTRANK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_322PLUS_DI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_324PLUS_DM(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_326PPO(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_328PVI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_330PVO(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_volume, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_332PVT(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_334QSTICK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_336RMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_338ROC(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_340ROCP(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_342ROCR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_344ROCR100(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_346RSI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_348RVI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, int __pyx_v_stddevperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_350RVOL(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_352SAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, double __pyx_v_acceleration, double __pyx_v_maximum); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_354SAREXT(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, double __pyx_v_startvalue, double __pyx_v_offsetonreverse, double __pyx_v_accelerationinitlong, double __pyx_v_accelerationlong, double __pyx_v_accelerationmaxlong, double __pyx_v_accelerationinitshort, double __pyx_v_accelerationshort, double __pyx_v_accelerationmaxshort); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_356SIN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_358SINH(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_360SMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_362SMI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_signalperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_364SQRT(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_366STDDEV(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_nbdev); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_368STOCH(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_fastk_period, int __pyx_v_slowk_period, int __pyx_v_slowk_matype, int __pyx_v_slowd_period, int __pyx_v_slowd_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_370STOCHF(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_fastk_period, int __pyx_v_fastd_period, int __pyx_v_fastd_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_372STOCHRSI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, int __pyx_v_fastk_period, int __pyx_v_fastd_period, int __pyx_v_fastd_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_374SUB(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real0, PyArrayObject *__pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_376SUM(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_378SUPERTREND(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod, double __pyx_v_multiplier); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_380T3(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_vfactor); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_382TAN(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_384TANH(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_386TEMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_388TRANGE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_390TRIMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_392TRIX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_394TSF(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_396TSI(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_firstperiod, int __pyx_v_secondperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_398TYPPRICE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_400ULTOSC(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod1, int __pyx_v_timeperiod2, int __pyx_v_timeperiod3); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_402VAR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_nbdev); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_404VHF(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_406VORTEX(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_408VWAP(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, PyArrayObject *__pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_410VWMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, PyArrayObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_412WAD(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_414WCLPRICE(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_416WILLR(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_418WMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_420ZLEMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_422str2bytes(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_s); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_424bytes2str(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_b); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_426str2bytes(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_s); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_428bytes2str(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_b); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function___init__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_function_name, PyObject *__pyx_v_func_object, PyObject *__pyx_v_args, PyObject *__pyx_v_kwargs); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_2__local(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_4info(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_6function_flags(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_8output_flags(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_10get_input_names(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_12set_input_names(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_input_names); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_14get_input_arrays(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_16set_input_arrays(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_input_arrays); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_18get_parameters(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_20set_parameters(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_parameters, PyObject *__pyx_v_kwargs); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_22set_function_args(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_args, PyObject *__pyx_v_kwargs); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_24lookback(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_26output_names(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_28outputs(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_30run(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_input_arrays); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_32__call__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_args, PyObject *__pyx_v_kwargs); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_34__input_price_series_names(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_36__call_function(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_38__check_opt_input_value(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_input_name, PyObject *__pyx_v_value); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_40__get_opt_input_value(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_input_name); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_42__repr__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_44__unicode__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_8Function_46__str__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_430_ta_getGroupTable(CYTHON_UNUSED PyObject *__pyx_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_432_ta_getFuncTable(CYTHON_UNUSED PyObject *__pyx_self, char *__pyx_v_group); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_434__get_flags(CYTHON_UNUSED PyObject *__pyx_self, int __pyx_v_flag, PyObject *__pyx_v_flags_lookup_dict); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_436_ta_getFuncInfo(CYTHON_UNUSED PyObject *__pyx_self, char *__pyx_v_function_name); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_438_ta_getInputParameterInfo(CYTHON_UNUSED PyObject *__pyx_self, char *__pyx_v_function_name, int __pyx_v_idx); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_440_ta_getOptInputParameterInfo(CYTHON_UNUSED PyObject *__pyx_self, char *__pyx_v_function_name, int __pyx_v_idx); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_442_ta_getOutputParameterInfo(CYTHON_UNUSED PyObject *__pyx_self, char *__pyx_v_function_name, int __pyx_v_idx); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_444_get_defaults_and_docs(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_func_info); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_6Stream___cinit__(struct __pyx_obj_5talib_7_ta_lib_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_6Stream_9out_range___get__(struct __pyx_obj_5talib_7_ta_lib_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_6Stream_2advance(struct __pyx_obj_5talib_7_ta_lib_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_6Stream_4__copy__(struct __pyx_obj_5talib_7_ta_lib_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_6Stream_6__deepcopy__(struct __pyx_obj_5talib_7_ta_lib_Stream *__pyx_v_self, CYTHON_UNUSED PyObject *__pyx_v_memo); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_6Stream_8__reduce__(struct __pyx_obj_5talib_7_ta_lib_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_9AC_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_AC_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_9AC_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_AC_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_signalperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9AC_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_signalperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9AC_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_AC_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9AC_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_AC_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9AC_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_AC_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9AC_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_AC_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_15ACCBANDS_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_ACCBANDS_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_15ACCBANDS_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_ACCBANDS_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15ACCBANDS_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15ACCBANDS_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_ACCBANDS_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15ACCBANDS_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_ACCBANDS_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15ACCBANDS_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_ACCBANDS_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15ACCBANDS_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_ACCBANDS_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11ACOS_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_ACOS_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11ACOS_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_ACOS_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ACOS_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ACOS_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_ACOS_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ACOS_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_ACOS_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ACOS_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_ACOS_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ACOS_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_ACOS_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_9AD_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_AD_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_9AD_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_AD_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, PyObject *__pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9AD_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, PyObject *__pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9AD_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_AD_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9AD_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_AD_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9AD_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_AD_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9AD_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_AD_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10ADD_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_ADD_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10ADD_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_ADD_Stream *__pyx_v_self, PyObject *__pyx_v_real0, PyObject *__pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ADD_Stream_4open_and_fill(PyObject *__pyx_v_real0, PyObject *__pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ADD_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_ADD_Stream *__pyx_v_self, double __pyx_v_real0, double __pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ADD_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_ADD_Stream *__pyx_v_self, double __pyx_v_real0, double __pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ADD_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_ADD_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ADD_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_ADD_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_12ADOSC_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_ADOSC_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_12ADOSC_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_ADOSC_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, PyObject *__pyx_v_volume, int __pyx_v_fastperiod, int __pyx_v_slowperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12ADOSC_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, PyObject *__pyx_v_volume, int __pyx_v_fastperiod, int __pyx_v_slowperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12ADOSC_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_ADOSC_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12ADOSC_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_ADOSC_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12ADOSC_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_ADOSC_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12ADOSC_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_ADOSC_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10ADR_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_ADR_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10ADR_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_ADR_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ADR_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ADR_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_ADR_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ADR_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_ADR_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ADR_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_ADR_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ADR_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_ADR_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10ADX_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_ADX_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10ADX_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_ADX_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ADX_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ADX_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_ADX_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ADX_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_ADX_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ADX_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_ADX_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ADX_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_ADX_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11ADXR_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_ADXR_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11ADXR_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_ADXR_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ADXR_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ADXR_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_ADXR_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ADXR_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_ADXR_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ADXR_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_ADXR_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ADXR_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_ADXR_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_9AO_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_AO_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_9AO_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_AO_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_fastperiod, int __pyx_v_slowperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9AO_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_fastperiod, int __pyx_v_slowperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9AO_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_AO_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9AO_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_AO_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9AO_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_AO_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9AO_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_AO_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10APO_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_APO_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10APO_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_APO_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10APO_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10APO_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_APO_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10APO_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_APO_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10APO_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_APO_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10APO_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_APO_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_12AROON_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_AROON_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_12AROON_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_AROON_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12AROON_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12AROON_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_AROON_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12AROON_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_AROON_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12AROON_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_AROON_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12AROON_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_AROON_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_15AROONOSC_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_AROONOSC_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_15AROONOSC_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_AROONOSC_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15AROONOSC_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15AROONOSC_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_AROONOSC_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15AROONOSC_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_AROONOSC_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15AROONOSC_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_AROONOSC_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15AROONOSC_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_AROONOSC_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11ASIN_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_ASIN_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11ASIN_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_ASIN_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ASIN_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ASIN_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_ASIN_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ASIN_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_ASIN_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ASIN_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_ASIN_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ASIN_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_ASIN_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11ATAN_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_ATAN_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11ATAN_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_ATAN_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ATAN_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ATAN_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_ATAN_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ATAN_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_ATAN_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ATAN_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_ATAN_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ATAN_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_ATAN_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10ATR_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_ATR_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10ATR_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_ATR_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ATR_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ATR_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_ATR_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ATR_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_ATR_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ATR_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_ATR_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ATR_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_ATR_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_13AVGDEV_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_AVGDEV_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_13AVGDEV_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_AVGDEV_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13AVGDEV_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13AVGDEV_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_AVGDEV_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13AVGDEV_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_AVGDEV_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13AVGDEV_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_AVGDEV_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13AVGDEV_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_AVGDEV_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_15AVGPRICE_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_AVGPRICE_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_15AVGPRICE_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_AVGPRICE_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15AVGPRICE_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15AVGPRICE_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_AVGPRICE_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15AVGPRICE_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_AVGPRICE_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15AVGPRICE_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_AVGPRICE_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15AVGPRICE_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_AVGPRICE_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_13BBANDS_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_BBANDS_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_13BBANDS_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_BBANDS_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_nbdevup, double __pyx_v_nbdevdn, int __pyx_v_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13BBANDS_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_nbdevup, double __pyx_v_nbdevdn, int __pyx_v_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13BBANDS_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_BBANDS_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13BBANDS_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_BBANDS_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13BBANDS_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_BBANDS_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13BBANDS_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_BBANDS_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11BETA_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_BETA_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11BETA_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_BETA_Stream *__pyx_v_self, PyObject *__pyx_v_real0, PyObject *__pyx_v_real1, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11BETA_Stream_4open_and_fill(PyObject *__pyx_v_real0, PyObject *__pyx_v_real1, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11BETA_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_BETA_Stream *__pyx_v_self, double __pyx_v_real0, double __pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11BETA_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_BETA_Stream *__pyx_v_self, double __pyx_v_real0, double __pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11BETA_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_BETA_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11BETA_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_BETA_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10BOP_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_BOP_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10BOP_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_BOP_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10BOP_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10BOP_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_BOP_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10BOP_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_BOP_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10BOP_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_BOP_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10BOP_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_BOP_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10CCI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CCI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10CCI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CCI_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10CCI_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10CCI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CCI_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10CCI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CCI_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10CCI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CCI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10CCI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CCI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_16CDL2CROWS_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDL2CROWS_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_16CDL2CROWS_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDL2CROWS_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDL2CROWS_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDL2CROWS_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDL2CROWS_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDL2CROWS_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDL2CROWS_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDL2CROWS_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDL2CROWS_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDL2CROWS_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDL2CROWS_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDL3BLACKCROWS_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDL3BLACKCROWS_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDL3BLACKCROWS_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDL3BLACKCROWS_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDL3BLACKCROWS_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDL3BLACKCROWS_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_17CDL3INSIDE_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDL3INSIDE_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_17CDL3INSIDE_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDL3INSIDE_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDL3INSIDE_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDL3INSIDE_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDL3INSIDE_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDL3INSIDE_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDL3INSIDE_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDL3INSIDE_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDL3INSIDE_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDL3INSIDE_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDL3INSIDE_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDL3LINESTRIKE_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDL3LINESTRIKE_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDL3LINESTRIKE_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDL3LINESTRIKE_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDL3LINESTRIKE_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDL3LINESTRIKE_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_18CDL3OUTSIDE_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDL3OUTSIDE_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_18CDL3OUTSIDE_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDL3OUTSIDE_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDL3OUTSIDE_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDL3OUTSIDE_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDL3OUTSIDE_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDL3OUTSIDE_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDL3OUTSIDE_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDL3OUTSIDE_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDL3OUTSIDE_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDL3OUTSIDE_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDL3OUTSIDE_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLABANDONEDBABY_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLABANDONEDBABY_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLABANDONEDBABY_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLABANDONEDBABY_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLABANDONEDBABY_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLABANDONEDBABY_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_18CDLBELTHOLD_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLBELTHOLD_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_18CDLBELTHOLD_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLBELTHOLD_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLBELTHOLD_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLBELTHOLD_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLBELTHOLD_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLBELTHOLD_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLBELTHOLD_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLBELTHOLD_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLBELTHOLD_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLBELTHOLD_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLBELTHOLD_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_19CDLBREAKAWAY_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLBREAKAWAY_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_19CDLBREAKAWAY_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLBREAKAWAY_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLBREAKAWAY_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLBREAKAWAY_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLBREAKAWAY_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLBREAKAWAY_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLBREAKAWAY_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLBREAKAWAY_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLBREAKAWAY_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLBREAKAWAY_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLBREAKAWAY_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_14CDLDOJI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLDOJI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_14CDLDOJI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLDOJI_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14CDLDOJI_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14CDLDOJI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLDOJI_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14CDLDOJI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLDOJI_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14CDLDOJI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLDOJI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14CDLDOJI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLDOJI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_18CDLDOJISTAR_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLDOJISTAR_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_18CDLDOJISTAR_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLDOJISTAR_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLDOJISTAR_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLDOJISTAR_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLDOJISTAR_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLDOJISTAR_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLDOJISTAR_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLDOJISTAR_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLDOJISTAR_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLDOJISTAR_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLDOJISTAR_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_19CDLENGULFING_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLENGULFING_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_19CDLENGULFING_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLENGULFING_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLENGULFING_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLENGULFING_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLENGULFING_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLENGULFING_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLENGULFING_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLENGULFING_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLENGULFING_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLENGULFING_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLENGULFING_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGSTAR_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGSTAR_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGSTAR_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGSTAR_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGSTAR_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGSTAR_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_16CDLHAMMER_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLHAMMER_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_16CDLHAMMER_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLHAMMER_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLHAMMER_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLHAMMER_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLHAMMER_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLHAMMER_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLHAMMER_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLHAMMER_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLHAMMER_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLHAMMER_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLHAMMER_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_20CDLHANGINGMAN_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLHANGINGMAN_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_20CDLHANGINGMAN_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLHANGINGMAN_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_20CDLHANGINGMAN_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_20CDLHANGINGMAN_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLHANGINGMAN_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_20CDLHANGINGMAN_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLHANGINGMAN_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_20CDLHANGINGMAN_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLHANGINGMAN_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_20CDLHANGINGMAN_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLHANGINGMAN_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_16CDLHARAMI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLHARAMI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_16CDLHARAMI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLHARAMI_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLHARAMI_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLHARAMI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLHARAMI_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLHARAMI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLHARAMI_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLHARAMI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLHARAMI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLHARAMI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLHARAMI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_21CDLHARAMICROSS_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLHARAMICROSS_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_21CDLHARAMICROSS_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLHARAMICROSS_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLHARAMICROSS_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLHARAMICROSS_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLHARAMICROSS_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLHARAMICROSS_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLHARAMICROSS_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLHARAMICROSS_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLHARAMICROSS_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLHARAMICROSS_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLHARAMICROSS_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_18CDLHIGHWAVE_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLHIGHWAVE_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_18CDLHIGHWAVE_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLHIGHWAVE_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLHIGHWAVE_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLHIGHWAVE_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLHIGHWAVE_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLHIGHWAVE_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLHIGHWAVE_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLHIGHWAVE_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLHIGHWAVE_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLHIGHWAVE_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLHIGHWAVE_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_17CDLHIKKAKE_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKE_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_17CDLHIKKAKE_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKE_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDLHIKKAKE_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDLHIKKAKE_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKE_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDLHIKKAKE_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKE_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDLHIKKAKE_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKE_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDLHIKKAKE_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKE_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_16CDLINNECK_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLINNECK_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_16CDLINNECK_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLINNECK_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLINNECK_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLINNECK_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLINNECK_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLINNECK_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLINNECK_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLINNECK_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLINNECK_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLINNECK_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLINNECK_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_17CDLKICKING_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLKICKING_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_17CDLKICKING_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLKICKING_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDLKICKING_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDLKICKING_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLKICKING_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDLKICKING_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLKICKING_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDLKICKING_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLKICKING_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDLKICKING_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLKICKING_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_18CDLLONGLINE_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLLONGLINE_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_18CDLLONGLINE_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLLONGLINE_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLLONGLINE_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLLONGLINE_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLLONGLINE_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLLONGLINE_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLLONGLINE_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLLONGLINE_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLLONGLINE_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLLONGLINE_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLLONGLINE_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_18CDLMARUBOZU_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLMARUBOZU_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_18CDLMARUBOZU_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLMARUBOZU_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLMARUBOZU_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLMARUBOZU_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLMARUBOZU_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLMARUBOZU_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLMARUBOZU_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLMARUBOZU_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLMARUBOZU_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLMARUBOZU_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLMARUBOZU_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLMATCHINGLOW_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLMATCHINGLOW_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLMATCHINGLOW_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLMATCHINGLOW_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLMATCHINGLOW_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLMATCHINGLOW_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_17CDLMATHOLD_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLMATHOLD_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_17CDLMATHOLD_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLMATHOLD_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDLMATHOLD_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDLMATHOLD_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLMATHOLD_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDLMATHOLD_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLMATHOLD_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDLMATHOLD_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLMATHOLD_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDLMATHOLD_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLMATHOLD_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGSTAR_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGSTAR_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, double __pyx_v_penetration); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGSTAR_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGSTAR_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGSTAR_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGSTAR_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_16CDLONNECK_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLONNECK_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_16CDLONNECK_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLONNECK_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLONNECK_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLONNECK_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLONNECK_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLONNECK_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLONNECK_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLONNECK_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLONNECK_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLONNECK_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLONNECK_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_18CDLPIERCING_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLPIERCING_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_18CDLPIERCING_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLPIERCING_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLPIERCING_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLPIERCING_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLPIERCING_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLPIERCING_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLPIERCING_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLPIERCING_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLPIERCING_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18CDLPIERCING_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLPIERCING_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_19CDLSHORTLINE_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLSHORTLINE_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_19CDLSHORTLINE_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLSHORTLINE_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLSHORTLINE_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLSHORTLINE_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLSHORTLINE_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLSHORTLINE_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLSHORTLINE_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLSHORTLINE_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLSHORTLINE_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLSHORTLINE_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLSHORTLINE_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLSPINNINGTOP_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLSPINNINGTOP_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLSPINNINGTOP_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLSPINNINGTOP_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLSPINNINGTOP_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLSPINNINGTOP_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_16CDLTAKURI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLTAKURI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_16CDLTAKURI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLTAKURI_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLTAKURI_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLTAKURI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLTAKURI_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLTAKURI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLTAKURI_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLTAKURI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLTAKURI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16CDLTAKURI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLTAKURI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_19CDLTASUKIGAP_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLTASUKIGAP_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_19CDLTASUKIGAP_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLTASUKIGAP_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLTASUKIGAP_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLTASUKIGAP_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLTASUKIGAP_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLTASUKIGAP_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLTASUKIGAP_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLTASUKIGAP_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLTASUKIGAP_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLTASUKIGAP_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLTASUKIGAP_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_19CDLTHRUSTING_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLTHRUSTING_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_19CDLTHRUSTING_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLTHRUSTING_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLTHRUSTING_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLTHRUSTING_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLTHRUSTING_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLTHRUSTING_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLTHRUSTING_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLTHRUSTING_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLTHRUSTING_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19CDLTHRUSTING_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLTHRUSTING_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_17CDLTRISTAR_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLTRISTAR_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_17CDLTRISTAR_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLTRISTAR_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDLTRISTAR_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDLTRISTAR_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLTRISTAR_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDLTRISTAR_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLTRISTAR_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDLTRISTAR_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLTRISTAR_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17CDLTRISTAR_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLTRISTAR_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11CEIL_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CEIL_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11CEIL_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CEIL_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11CEIL_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11CEIL_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CEIL_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11CEIL_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CEIL_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11CEIL_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CEIL_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11CEIL_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CEIL_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10CMF_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CMF_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10CMF_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CMF_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, PyObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10CMF_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, PyObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10CMF_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CMF_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10CMF_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CMF_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10CMF_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CMF_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10CMF_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CMF_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10CMO_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CMO_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10CMO_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CMO_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10CMO_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10CMO_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CMO_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10CMO_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CMO_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10CMO_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CMO_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10CMO_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CMO_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11CMOU_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CMOU_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11CMOU_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CMOU_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11CMOU_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11CMOU_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CMOU_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11CMOU_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CMOU_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11CMOU_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CMOU_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11CMOU_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CMOU_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_14COPPOCK_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_COPPOCK_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_14COPPOCK_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_COPPOCK_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_wmaperiod, int __pyx_v_roc1period, int __pyx_v_roc2period); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14COPPOCK_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_wmaperiod, int __pyx_v_roc1period, int __pyx_v_roc2period); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14COPPOCK_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_COPPOCK_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14COPPOCK_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_COPPOCK_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14COPPOCK_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_COPPOCK_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14COPPOCK_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_COPPOCK_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_13CORREL_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CORREL_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_13CORREL_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CORREL_Stream *__pyx_v_self, PyObject *__pyx_v_real0, PyObject *__pyx_v_real1, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13CORREL_Stream_4open_and_fill(PyObject *__pyx_v_real0, PyObject *__pyx_v_real1, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13CORREL_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CORREL_Stream *__pyx_v_self, double __pyx_v_real0, double __pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13CORREL_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CORREL_Stream *__pyx_v_self, double __pyx_v_real0, double __pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13CORREL_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CORREL_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13CORREL_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CORREL_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10COS_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_COS_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10COS_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_COS_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10COS_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10COS_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_COS_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10COS_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_COS_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10COS_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_COS_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10COS_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_COS_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11COSH_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_COSH_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11COSH_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_COSH_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11COSH_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11COSH_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_COSH_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11COSH_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_COSH_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11COSH_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_COSH_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11COSH_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_COSH_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_13CUMSUM_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CUMSUM_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_13CUMSUM_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CUMSUM_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13CUMSUM_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13CUMSUM_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CUMSUM_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13CUMSUM_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CUMSUM_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13CUMSUM_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CUMSUM_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13CUMSUM_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CUMSUM_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10CVI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_CVI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10CVI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_CVI_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_timeperiod, int __pyx_v_rocperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10CVI_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_timeperiod, int __pyx_v_rocperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10CVI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_CVI_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10CVI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_CVI_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10CVI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_CVI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10CVI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_CVI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11DEMA_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_DEMA_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11DEMA_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_DEMA_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11DEMA_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11DEMA_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_DEMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11DEMA_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_DEMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11DEMA_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_DEMA_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11DEMA_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_DEMA_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10DIV_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_DIV_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10DIV_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_DIV_Stream *__pyx_v_self, PyObject *__pyx_v_real0, PyObject *__pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10DIV_Stream_4open_and_fill(PyObject *__pyx_v_real0, PyObject *__pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10DIV_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_DIV_Stream *__pyx_v_self, double __pyx_v_real0, double __pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10DIV_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_DIV_Stream *__pyx_v_self, double __pyx_v_real0, double __pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10DIV_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_DIV_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10DIV_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_DIV_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_15DONCHIAN_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_DONCHIAN_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_15DONCHIAN_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_DONCHIAN_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15DONCHIAN_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15DONCHIAN_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_DONCHIAN_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15DONCHIAN_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_DONCHIAN_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15DONCHIAN_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_DONCHIAN_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15DONCHIAN_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_DONCHIAN_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10DPO_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_DPO_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10DPO_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_DPO_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10DPO_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10DPO_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_DPO_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10DPO_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_DPO_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10DPO_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_DPO_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10DPO_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_DPO_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_9DX_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_DX_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_9DX_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_DX_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9DX_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9DX_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_DX_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9DX_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_DX_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9DX_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_DX_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9DX_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_DX_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10EFI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_EFI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10EFI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_EFI_Stream *__pyx_v_self, PyObject *__pyx_v_close, PyObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10EFI_Stream_4open_and_fill(PyObject *__pyx_v_close, PyObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10EFI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_EFI_Stream *__pyx_v_self, double __pyx_v_close, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10EFI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_EFI_Stream *__pyx_v_self, double __pyx_v_close, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10EFI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_EFI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10EFI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_EFI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10EMA_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_EMA_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10EMA_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_EMA_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10EMA_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10EMA_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_EMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10EMA_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_EMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10EMA_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_EMA_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10EMA_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_EMA_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_9ER_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_ER_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_9ER_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_ER_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9ER_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9ER_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_ER_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9ER_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_ER_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9ER_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_ER_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9ER_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_ER_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10ERI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_ERI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10ERI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_ERI_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ERI_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ERI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_ERI_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ERI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_ERI_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ERI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_ERI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ERI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_ERI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10EXP_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_EXP_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10EXP_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_EXP_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10EXP_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10EXP_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_EXP_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10EXP_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_EXP_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10EXP_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_EXP_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10EXP_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_EXP_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_12FLOOR_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_FLOOR_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_12FLOOR_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_FLOOR_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12FLOOR_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12FLOOR_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_FLOOR_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12FLOOR_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_FLOOR_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12FLOOR_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_FLOOR_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12FLOOR_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_FLOOR_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11FOSC_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_FOSC_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11FOSC_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_FOSC_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11FOSC_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11FOSC_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_FOSC_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11FOSC_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_FOSC_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11FOSC_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_FOSC_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11FOSC_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_FOSC_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_14FRACTAL_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_FRACTAL_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_14FRACTAL_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_FRACTAL_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_leftbars, int __pyx_v_rightbars); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14FRACTAL_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_leftbars, int __pyx_v_rightbars); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14FRACTAL_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_FRACTAL_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14FRACTAL_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_FRACTAL_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14FRACTAL_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_FRACTAL_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14FRACTAL_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_FRACTAL_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_9HA_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_HA_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_9HA_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_HA_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9HA_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9HA_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_HA_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9HA_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_HA_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9HA_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_HA_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9HA_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_HA_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10HMA_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_HMA_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10HMA_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_HMA_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10HMA_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10HMA_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_HMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10HMA_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_HMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10HMA_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_HMA_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10HMA_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_HMA_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_18HT_DCPERIOD_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_HT_DCPERIOD_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_18HT_DCPERIOD_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_HT_DCPERIOD_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18HT_DCPERIOD_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18HT_DCPERIOD_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_HT_DCPERIOD_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18HT_DCPERIOD_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_HT_DCPERIOD_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18HT_DCPERIOD_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_HT_DCPERIOD_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18HT_DCPERIOD_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_HT_DCPERIOD_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_17HT_DCPHASE_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_HT_DCPHASE_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_17HT_DCPHASE_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_HT_DCPHASE_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17HT_DCPHASE_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17HT_DCPHASE_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_HT_DCPHASE_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17HT_DCPHASE_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_HT_DCPHASE_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17HT_DCPHASE_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_HT_DCPHASE_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17HT_DCPHASE_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_HT_DCPHASE_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_16HT_PHASOR_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_HT_PHASOR_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_16HT_PHASOR_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_HT_PHASOR_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16HT_PHASOR_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16HT_PHASOR_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_HT_PHASOR_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16HT_PHASOR_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_HT_PHASOR_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16HT_PHASOR_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_HT_PHASOR_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16HT_PHASOR_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_HT_PHASOR_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_14HT_SINE_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_HT_SINE_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_14HT_SINE_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_HT_SINE_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14HT_SINE_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14HT_SINE_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_HT_SINE_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14HT_SINE_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_HT_SINE_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14HT_SINE_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_HT_SINE_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14HT_SINE_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_HT_SINE_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_19HT_TRENDLINE_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_HT_TRENDLINE_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_19HT_TRENDLINE_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_HT_TRENDLINE_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19HT_TRENDLINE_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19HT_TRENDLINE_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_HT_TRENDLINE_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19HT_TRENDLINE_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_HT_TRENDLINE_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19HT_TRENDLINE_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_HT_TRENDLINE_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19HT_TRENDLINE_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_HT_TRENDLINE_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_19HT_TRENDMODE_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_HT_TRENDMODE_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_19HT_TRENDMODE_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_HT_TRENDMODE_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19HT_TRENDMODE_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19HT_TRENDMODE_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_HT_TRENDMODE_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19HT_TRENDMODE_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_HT_TRENDMODE_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19HT_TRENDMODE_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_HT_TRENDMODE_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_19HT_TRENDMODE_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_HT_TRENDMODE_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10IMI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_IMI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10IMI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_IMI_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10IMI_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10IMI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_IMI_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10IMI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_IMI_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10IMI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_IMI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10IMI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_IMI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11KAMA_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_KAMA_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11KAMA_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_KAMA_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11KAMA_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11KAMA_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_KAMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11KAMA_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_KAMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11KAMA_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_KAMA_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11KAMA_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_KAMA_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_9KC_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_KC_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_9KC_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_KC_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod, int __pyx_v_atrperiod, double __pyx_v_nbdev); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9KC_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod, int __pyx_v_atrperiod, double __pyx_v_nbdev); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9KC_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_KC_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9KC_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_KC_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9KC_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_KC_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9KC_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_KC_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10KDJ_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_KDJ_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10KDJ_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_KDJ_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_fastk_period, int __pyx_v_slowk_period, int __pyx_v_slowk_matype, int __pyx_v_slowd_period, int __pyx_v_slowd_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10KDJ_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_fastk_period, int __pyx_v_slowk_period, int __pyx_v_slowk_matype, int __pyx_v_slowd_period, int __pyx_v_slowd_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10KDJ_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_KDJ_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10KDJ_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_KDJ_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10KDJ_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_KDJ_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10KDJ_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_KDJ_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_16LINEARREG_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_16LINEARREG_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16LINEARREG_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16LINEARREG_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16LINEARREG_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16LINEARREG_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_16LINEARREG_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_ANGLE_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_ANGLE_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_ANGLE_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_ANGLE_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_ANGLE_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_ANGLE_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_SLOPE_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_SLOPE_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_SLOPE_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_SLOPE_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_SLOPE_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_SLOPE_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_9LN_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_LN_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_9LN_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_LN_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9LN_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9LN_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_LN_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9LN_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_LN_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9LN_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_LN_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9LN_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_LN_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_12LOG10_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_LOG10_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_12LOG10_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_LOG10_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12LOG10_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12LOG10_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_LOG10_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12LOG10_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_LOG10_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12LOG10_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_LOG10_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12LOG10_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_LOG10_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_9MA_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MA_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_9MA_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MA_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod, int __pyx_v_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9MA_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod, int __pyx_v_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9MA_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9MA_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9MA_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MA_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9MA_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MA_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11MACD_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MACD_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11MACD_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MACD_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_signalperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11MACD_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_signalperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11MACD_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MACD_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11MACD_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MACD_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11MACD_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MACD_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11MACD_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MACD_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_14MACDEXT_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MACDEXT_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_14MACDEXT_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MACDEXT_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_fastperiod, int __pyx_v_fastmatype, int __pyx_v_slowperiod, int __pyx_v_slowmatype, int __pyx_v_signalperiod, int __pyx_v_signalmatype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14MACDEXT_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_fastperiod, int __pyx_v_fastmatype, int __pyx_v_slowperiod, int __pyx_v_slowmatype, int __pyx_v_signalperiod, int __pyx_v_signalmatype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14MACDEXT_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MACDEXT_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14MACDEXT_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MACDEXT_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14MACDEXT_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MACDEXT_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14MACDEXT_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MACDEXT_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_14MACDFIX_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MACDFIX_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_14MACDFIX_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MACDFIX_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_signalperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14MACDFIX_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_signalperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14MACDFIX_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MACDFIX_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14MACDFIX_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MACDFIX_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14MACDFIX_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MACDFIX_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14MACDFIX_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MACDFIX_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11MAMA_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MAMA_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11MAMA_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MAMA_Stream *__pyx_v_self, PyObject *__pyx_v_real, double __pyx_v_fastlimit, double __pyx_v_slowlimit); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11MAMA_Stream_4open_and_fill(PyObject *__pyx_v_real, double __pyx_v_fastlimit, double __pyx_v_slowlimit); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11MAMA_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MAMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11MAMA_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MAMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11MAMA_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MAMA_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11MAMA_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MAMA_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_15MARKETFI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MARKETFI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_15MARKETFI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MARKETFI_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MARKETFI_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MARKETFI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MARKETFI_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MARKETFI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MARKETFI_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MARKETFI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MARKETFI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MARKETFI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MARKETFI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_12MASSI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MASSI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_12MASSI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MASSI_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_fastperiod, int __pyx_v_slowperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12MASSI_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_fastperiod, int __pyx_v_slowperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12MASSI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MASSI_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12MASSI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MASSI_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12MASSI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MASSI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12MASSI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MASSI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11MAVP_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MAVP_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11MAVP_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MAVP_Stream *__pyx_v_self, PyObject *__pyx_v_real, PyObject *__pyx_v_periods, int __pyx_v_minperiod, int __pyx_v_maxperiod, int __pyx_v_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11MAVP_Stream_4open_and_fill(PyObject *__pyx_v_real, PyObject *__pyx_v_periods, int __pyx_v_minperiod, int __pyx_v_maxperiod, int __pyx_v_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11MAVP_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MAVP_Stream *__pyx_v_self, double __pyx_v_real, double __pyx_v_periods); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11MAVP_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MAVP_Stream *__pyx_v_self, double __pyx_v_real, double __pyx_v_periods); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11MAVP_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MAVP_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11MAVP_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MAVP_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10MAX_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MAX_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10MAX_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MAX_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10MAX_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10MAX_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MAX_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10MAX_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MAX_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10MAX_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MAX_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10MAX_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MAX_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_15MAXINDEX_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MAXINDEX_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_15MAXINDEX_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MAXINDEX_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MAXINDEX_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MAXINDEX_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MAXINDEX_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MAXINDEX_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MAXINDEX_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MAXINDEX_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MAXINDEX_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MAXINDEX_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MAXINDEX_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_15MEDPRICE_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MEDPRICE_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_15MEDPRICE_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MEDPRICE_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MEDPRICE_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MEDPRICE_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MEDPRICE_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MEDPRICE_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MEDPRICE_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MEDPRICE_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MEDPRICE_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MEDPRICE_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MEDPRICE_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10MFI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MFI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10MFI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MFI_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, PyObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10MFI_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, PyObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10MFI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MFI_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10MFI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MFI_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10MFI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MFI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10MFI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MFI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_15MIDPOINT_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MIDPOINT_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_15MIDPOINT_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MIDPOINT_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MIDPOINT_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MIDPOINT_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MIDPOINT_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MIDPOINT_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MIDPOINT_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MIDPOINT_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MIDPOINT_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MIDPOINT_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MIDPOINT_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_15MIDPRICE_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MIDPRICE_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_15MIDPRICE_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MIDPRICE_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MIDPRICE_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MIDPRICE_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MIDPRICE_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MIDPRICE_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MIDPRICE_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MIDPRICE_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MIDPRICE_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MIDPRICE_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MIDPRICE_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10MIN_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MIN_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10MIN_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MIN_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10MIN_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10MIN_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MIN_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10MIN_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MIN_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10MIN_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MIN_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10MIN_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MIN_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_15MININDEX_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MININDEX_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_15MININDEX_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MININDEX_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MININDEX_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MININDEX_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MININDEX_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MININDEX_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MININDEX_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MININDEX_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MININDEX_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MININDEX_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MININDEX_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_13MINMAX_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MINMAX_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_13MINMAX_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MINMAX_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13MINMAX_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13MINMAX_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MINMAX_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13MINMAX_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MINMAX_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13MINMAX_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MINMAX_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13MINMAX_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MINMAX_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_18MINMAXINDEX_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MINMAXINDEX_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_18MINMAXINDEX_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MINMAXINDEX_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18MINMAXINDEX_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18MINMAXINDEX_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MINMAXINDEX_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18MINMAXINDEX_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MINMAXINDEX_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18MINMAXINDEX_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MINMAXINDEX_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18MINMAXINDEX_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MINMAXINDEX_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_15MINUS_DI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MINUS_DI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_15MINUS_DI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MINUS_DI_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MINUS_DI_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MINUS_DI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MINUS_DI_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MINUS_DI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MINUS_DI_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MINUS_DI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MINUS_DI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MINUS_DI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MINUS_DI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_15MINUS_DM_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MINUS_DM_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_15MINUS_DM_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MINUS_DM_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MINUS_DM_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MINUS_DM_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MINUS_DM_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MINUS_DM_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MINUS_DM_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MINUS_DM_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MINUS_DM_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15MINUS_DM_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MINUS_DM_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10MOM_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MOM_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10MOM_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MOM_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10MOM_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10MOM_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MOM_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10MOM_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MOM_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10MOM_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MOM_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10MOM_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MOM_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11MULT_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_MULT_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11MULT_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_MULT_Stream *__pyx_v_self, PyObject *__pyx_v_real0, PyObject *__pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11MULT_Stream_4open_and_fill(PyObject *__pyx_v_real0, PyObject *__pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11MULT_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_MULT_Stream *__pyx_v_self, double __pyx_v_real0, double __pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11MULT_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_MULT_Stream *__pyx_v_self, double __pyx_v_real0, double __pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11MULT_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_MULT_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11MULT_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_MULT_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11NATR_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_NATR_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11NATR_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_NATR_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11NATR_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11NATR_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_NATR_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11NATR_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_NATR_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11NATR_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_NATR_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11NATR_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_NATR_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10NVI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_NVI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10NVI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_NVI_Stream *__pyx_v_self, PyObject *__pyx_v_close, PyObject *__pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10NVI_Stream_4open_and_fill(PyObject *__pyx_v_close, PyObject *__pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10NVI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_NVI_Stream *__pyx_v_self, double __pyx_v_close, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10NVI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_NVI_Stream *__pyx_v_self, double __pyx_v_close, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10NVI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_NVI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10NVI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_NVI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10OBV_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_OBV_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10OBV_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_OBV_Stream *__pyx_v_self, PyObject *__pyx_v_real, PyObject *__pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10OBV_Stream_4open_and_fill(PyObject *__pyx_v_real, PyObject *__pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10OBV_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_OBV_Stream *__pyx_v_self, double __pyx_v_real, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10OBV_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_OBV_Stream *__pyx_v_self, double __pyx_v_real, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10OBV_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_OBV_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10OBV_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_OBV_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_17PERCENTILE_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_PERCENTILE_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_17PERCENTILE_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_PERCENTILE_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_percentile); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17PERCENTILE_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_percentile); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17PERCENTILE_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_PERCENTILE_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17PERCENTILE_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_PERCENTILE_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17PERCENTILE_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_PERCENTILE_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17PERCENTILE_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_PERCENTILE_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_18PERCENTRANK_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_PERCENTRANK_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_18PERCENTRANK_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_PERCENTRANK_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18PERCENTRANK_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18PERCENTRANK_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_PERCENTRANK_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18PERCENTRANK_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_PERCENTRANK_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18PERCENTRANK_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_PERCENTRANK_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_18PERCENTRANK_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_PERCENTRANK_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_14PLUS_DI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_PLUS_DI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_14PLUS_DI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_PLUS_DI_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14PLUS_DI_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14PLUS_DI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_PLUS_DI_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14PLUS_DI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_PLUS_DI_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14PLUS_DI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_PLUS_DI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14PLUS_DI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_PLUS_DI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_14PLUS_DM_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_PLUS_DM_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_14PLUS_DM_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_PLUS_DM_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14PLUS_DM_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14PLUS_DM_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_PLUS_DM_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14PLUS_DM_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_PLUS_DM_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14PLUS_DM_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_PLUS_DM_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14PLUS_DM_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_PLUS_DM_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10PPO_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_PPO_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10PPO_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_PPO_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10PPO_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10PPO_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_PPO_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10PPO_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_PPO_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10PPO_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_PPO_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10PPO_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_PPO_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10PVI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_PVI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10PVI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_PVI_Stream *__pyx_v_self, PyObject *__pyx_v_close, PyObject *__pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10PVI_Stream_4open_and_fill(PyObject *__pyx_v_close, PyObject *__pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10PVI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_PVI_Stream *__pyx_v_self, double __pyx_v_close, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10PVI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_PVI_Stream *__pyx_v_self, double __pyx_v_close, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10PVI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_PVI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10PVI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_PVI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10PVO_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_PVO_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10PVO_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_PVO_Stream *__pyx_v_self, PyObject *__pyx_v_volume, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10PVO_Stream_4open_and_fill(PyObject *__pyx_v_volume, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10PVO_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_PVO_Stream *__pyx_v_self, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10PVO_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_PVO_Stream *__pyx_v_self, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10PVO_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_PVO_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10PVO_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_PVO_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10PVT_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_PVT_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10PVT_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_PVT_Stream *__pyx_v_self, PyObject *__pyx_v_close, PyObject *__pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10PVT_Stream_4open_and_fill(PyObject *__pyx_v_close, PyObject *__pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10PVT_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_PVT_Stream *__pyx_v_self, double __pyx_v_close, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10PVT_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_PVT_Stream *__pyx_v_self, double __pyx_v_close, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10PVT_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_PVT_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10PVT_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_PVT_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_13QSTICK_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_QSTICK_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_13QSTICK_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_QSTICK_Stream *__pyx_v_self, PyObject *__pyx_v_open, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13QSTICK_Stream_4open_and_fill(PyObject *__pyx_v_open, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13QSTICK_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_QSTICK_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13QSTICK_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_QSTICK_Stream *__pyx_v_self, double __pyx_v_open, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13QSTICK_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_QSTICK_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13QSTICK_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_QSTICK_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10RMA_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_RMA_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10RMA_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_RMA_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10RMA_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10RMA_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_RMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10RMA_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_RMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10RMA_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_RMA_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10RMA_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_RMA_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10ROC_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_ROC_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10ROC_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_ROC_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ROC_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ROC_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_ROC_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ROC_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_ROC_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ROC_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_ROC_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10ROC_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_ROC_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11ROCP_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_ROCP_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11ROCP_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_ROCP_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ROCP_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ROCP_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_ROCP_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ROCP_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_ROCP_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ROCP_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_ROCP_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ROCP_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_ROCP_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11ROCR_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_ROCR_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11ROCR_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_ROCR_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ROCR_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ROCR_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_ROCR_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ROCR_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_ROCR_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ROCR_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_ROCR_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11ROCR_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_ROCR_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_14ROCR100_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_ROCR100_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_14ROCR100_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_ROCR100_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14ROCR100_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14ROCR100_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_ROCR100_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14ROCR100_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_ROCR100_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14ROCR100_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_ROCR100_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_14ROCR100_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_ROCR100_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10RSI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_RSI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10RSI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_RSI_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10RSI_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10RSI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_RSI_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10RSI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_RSI_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10RSI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_RSI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10RSI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_RSI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10RVI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_RVI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10RVI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_RVI_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod, int __pyx_v_stddevperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10RVI_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod, int __pyx_v_stddevperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10RVI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_RVI_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10RVI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_RVI_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10RVI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_RVI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10RVI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_RVI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11RVOL_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_RVOL_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11RVOL_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_RVOL_Stream *__pyx_v_self, PyObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11RVOL_Stream_4open_and_fill(PyObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11RVOL_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_RVOL_Stream *__pyx_v_self, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11RVOL_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_RVOL_Stream *__pyx_v_self, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11RVOL_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_RVOL_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11RVOL_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_RVOL_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10SAR_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_SAR_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10SAR_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_SAR_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, double __pyx_v_acceleration, double __pyx_v_maximum); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SAR_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, double __pyx_v_acceleration, double __pyx_v_maximum); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SAR_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_SAR_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SAR_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_SAR_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SAR_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_SAR_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SAR_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_SAR_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_13SAREXT_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_SAREXT_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_13SAREXT_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_SAREXT_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, double __pyx_v_startvalue, double __pyx_v_offsetonreverse, double __pyx_v_accelerationinitlong, double __pyx_v_accelerationlong, double __pyx_v_accelerationmaxlong, double __pyx_v_accelerationinitshort, double __pyx_v_accelerationshort, double __pyx_v_accelerationmaxshort); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13SAREXT_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, double __pyx_v_startvalue, double __pyx_v_offsetonreverse, double __pyx_v_accelerationinitlong, double __pyx_v_accelerationlong, double __pyx_v_accelerationmaxlong, double __pyx_v_accelerationinitshort, double __pyx_v_accelerationshort, double __pyx_v_accelerationmaxshort); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13SAREXT_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_SAREXT_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13SAREXT_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_SAREXT_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13SAREXT_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_SAREXT_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13SAREXT_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_SAREXT_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10SIN_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_SIN_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10SIN_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_SIN_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SIN_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SIN_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_SIN_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SIN_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_SIN_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SIN_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_SIN_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SIN_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_SIN_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11SINH_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_SINH_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11SINH_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_SINH_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11SINH_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11SINH_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_SINH_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11SINH_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_SINH_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11SINH_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_SINH_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11SINH_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_SINH_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10SMA_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_SMA_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10SMA_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_SMA_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SMA_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SMA_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_SMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SMA_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_SMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SMA_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_SMA_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SMA_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_SMA_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10SMI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_SMI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10SMI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_SMI_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_signalperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SMI_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod, int __pyx_v_fastperiod, int __pyx_v_slowperiod, int __pyx_v_signalperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SMI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_SMI_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SMI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_SMI_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SMI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_SMI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SMI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_SMI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11SQRT_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_SQRT_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11SQRT_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_SQRT_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11SQRT_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11SQRT_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_SQRT_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11SQRT_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_SQRT_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11SQRT_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_SQRT_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11SQRT_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_SQRT_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_13STDDEV_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_STDDEV_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_13STDDEV_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_STDDEV_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_nbdev); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13STDDEV_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_nbdev); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13STDDEV_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_STDDEV_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13STDDEV_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_STDDEV_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13STDDEV_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_STDDEV_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13STDDEV_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_STDDEV_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_12STOCH_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_STOCH_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_12STOCH_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_STOCH_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_fastk_period, int __pyx_v_slowk_period, int __pyx_v_slowk_matype, int __pyx_v_slowd_period, int __pyx_v_slowd_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12STOCH_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_fastk_period, int __pyx_v_slowk_period, int __pyx_v_slowk_matype, int __pyx_v_slowd_period, int __pyx_v_slowd_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12STOCH_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_STOCH_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12STOCH_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_STOCH_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12STOCH_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_STOCH_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12STOCH_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_STOCH_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_13STOCHF_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_STOCHF_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_13STOCHF_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_STOCHF_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_fastk_period, int __pyx_v_fastd_period, int __pyx_v_fastd_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13STOCHF_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_fastk_period, int __pyx_v_fastd_period, int __pyx_v_fastd_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13STOCHF_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_STOCHF_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13STOCHF_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_STOCHF_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13STOCHF_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_STOCHF_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13STOCHF_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_STOCHF_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_15STOCHRSI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_STOCHRSI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_15STOCHRSI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_STOCHRSI_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod, int __pyx_v_fastk_period, int __pyx_v_fastd_period, int __pyx_v_fastd_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15STOCHRSI_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod, int __pyx_v_fastk_period, int __pyx_v_fastd_period, int __pyx_v_fastd_matype); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15STOCHRSI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_STOCHRSI_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15STOCHRSI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_STOCHRSI_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15STOCHRSI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_STOCHRSI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15STOCHRSI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_STOCHRSI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10SUB_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_SUB_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10SUB_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_SUB_Stream *__pyx_v_self, PyObject *__pyx_v_real0, PyObject *__pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SUB_Stream_4open_and_fill(PyObject *__pyx_v_real0, PyObject *__pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SUB_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_SUB_Stream *__pyx_v_self, double __pyx_v_real0, double __pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SUB_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_SUB_Stream *__pyx_v_self, double __pyx_v_real0, double __pyx_v_real1); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SUB_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_SUB_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SUB_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_SUB_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10SUM_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_SUM_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10SUM_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_SUM_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SUM_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SUM_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_SUM_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SUM_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_SUM_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SUM_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_SUM_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10SUM_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_SUM_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_17SUPERTREND_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_SUPERTREND_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_17SUPERTREND_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_SUPERTREND_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod, double __pyx_v_multiplier); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17SUPERTREND_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod, double __pyx_v_multiplier); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17SUPERTREND_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_SUPERTREND_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17SUPERTREND_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_SUPERTREND_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17SUPERTREND_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_SUPERTREND_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_17SUPERTREND_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_SUPERTREND_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_9T3_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_T3_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_9T3_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_T3_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_vfactor); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9T3_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_vfactor); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9T3_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_T3_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9T3_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_T3_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9T3_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_T3_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_9T3_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_T3_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10TAN_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_TAN_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10TAN_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_TAN_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10TAN_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10TAN_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_TAN_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10TAN_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_TAN_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10TAN_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_TAN_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10TAN_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_TAN_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11TANH_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_TANH_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11TANH_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_TANH_Stream *__pyx_v_self, PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11TANH_Stream_4open_and_fill(PyObject *__pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11TANH_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_TANH_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11TANH_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_TANH_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11TANH_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_TANH_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11TANH_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_TANH_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11TEMA_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_TEMA_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11TEMA_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_TEMA_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11TEMA_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11TEMA_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_TEMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11TEMA_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_TEMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11TEMA_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_TEMA_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11TEMA_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_TEMA_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_13TRANGE_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_TRANGE_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_13TRANGE_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_TRANGE_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13TRANGE_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13TRANGE_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_TRANGE_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13TRANGE_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_TRANGE_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13TRANGE_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_TRANGE_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13TRANGE_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_TRANGE_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_12TRIMA_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_TRIMA_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_12TRIMA_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_TRIMA_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12TRIMA_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12TRIMA_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_TRIMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12TRIMA_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_TRIMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12TRIMA_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_TRIMA_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12TRIMA_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_TRIMA_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11TRIX_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_TRIX_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11TRIX_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_TRIX_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11TRIX_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11TRIX_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_TRIX_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11TRIX_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_TRIX_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11TRIX_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_TRIX_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11TRIX_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_TRIX_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10TSF_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_TSF_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10TSF_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_TSF_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10TSF_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10TSF_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_TSF_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10TSF_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_TSF_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10TSF_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_TSF_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10TSF_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_TSF_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10TSI_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_TSI_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10TSI_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_TSI_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_firstperiod, int __pyx_v_secondperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10TSI_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_firstperiod, int __pyx_v_secondperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10TSI_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_TSI_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10TSI_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_TSI_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10TSI_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_TSI_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10TSI_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_TSI_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_15TYPPRICE_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_TYPPRICE_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_15TYPPRICE_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_TYPPRICE_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15TYPPRICE_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15TYPPRICE_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_TYPPRICE_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15TYPPRICE_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_TYPPRICE_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15TYPPRICE_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_TYPPRICE_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15TYPPRICE_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_TYPPRICE_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_13ULTOSC_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_ULTOSC_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_13ULTOSC_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_ULTOSC_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod1, int __pyx_v_timeperiod2, int __pyx_v_timeperiod3); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13ULTOSC_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod1, int __pyx_v_timeperiod2, int __pyx_v_timeperiod3); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13ULTOSC_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_ULTOSC_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13ULTOSC_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_ULTOSC_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13ULTOSC_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_ULTOSC_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13ULTOSC_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_ULTOSC_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10VAR_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_VAR_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10VAR_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_VAR_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_nbdev); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10VAR_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod, double __pyx_v_nbdev); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10VAR_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_VAR_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10VAR_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_VAR_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10VAR_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_VAR_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10VAR_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_VAR_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10VHF_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_VHF_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10VHF_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_VHF_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10VHF_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10VHF_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_VHF_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10VHF_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_VHF_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10VHF_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_VHF_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10VHF_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_VHF_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_13VORTEX_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_VORTEX_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_13VORTEX_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_VORTEX_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13VORTEX_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13VORTEX_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_VORTEX_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13VORTEX_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_VORTEX_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13VORTEX_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_VORTEX_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_13VORTEX_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_VORTEX_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11VWAP_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_VWAP_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11VWAP_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_VWAP_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, PyObject *__pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11VWAP_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, PyObject *__pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11VWAP_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_VWAP_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11VWAP_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_VWAP_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11VWAP_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_VWAP_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11VWAP_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_VWAP_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_11VWMA_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_VWMA_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_11VWMA_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_VWMA_Stream *__pyx_v_self, PyObject *__pyx_v_real, PyObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11VWMA_Stream_4open_and_fill(PyObject *__pyx_v_real, PyObject *__pyx_v_volume, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11VWMA_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_VWMA_Stream *__pyx_v_self, double __pyx_v_real, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11VWMA_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_VWMA_Stream *__pyx_v_self, double __pyx_v_real, double __pyx_v_volume); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11VWMA_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_VWMA_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_11VWMA_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_VWMA_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10WAD_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_WAD_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10WAD_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_WAD_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10WAD_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10WAD_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_WAD_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10WAD_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_WAD_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10WAD_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_WAD_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10WAD_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_WAD_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_15WCLPRICE_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_WCLPRICE_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_15WCLPRICE_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_WCLPRICE_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15WCLPRICE_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15WCLPRICE_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_WCLPRICE_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15WCLPRICE_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_WCLPRICE_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15WCLPRICE_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_WCLPRICE_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_15WCLPRICE_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_WCLPRICE_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_12WILLR_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_WILLR_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_12WILLR_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_WILLR_Stream *__pyx_v_self, PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12WILLR_Stream_4open_and_fill(PyObject *__pyx_v_high, PyObject *__pyx_v_low, PyObject *__pyx_v_close, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12WILLR_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_WILLR_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12WILLR_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_WILLR_Stream *__pyx_v_self, double __pyx_v_high, double __pyx_v_low, double __pyx_v_close); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12WILLR_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_WILLR_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12WILLR_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_WILLR_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_10WMA_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_WMA_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_10WMA_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_WMA_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10WMA_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10WMA_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_WMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10WMA_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_WMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10WMA_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_WMA_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_10WMA_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_WMA_Stream *__pyx_v_self); /* proto */ +static void __pyx_pf_5talib_7_ta_lib_12ZLEMA_Stream___dealloc__(struct __pyx_obj_5talib_7_ta_lib_ZLEMA_Stream *__pyx_v_self); /* proto */ +static int __pyx_pf_5talib_7_ta_lib_12ZLEMA_Stream_2__init__(struct __pyx_obj_5talib_7_ta_lib_ZLEMA_Stream *__pyx_v_self, PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12ZLEMA_Stream_4open_and_fill(PyObject *__pyx_v_real, int __pyx_v_timeperiod); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12ZLEMA_Stream_6update(struct __pyx_obj_5talib_7_ta_lib_ZLEMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12ZLEMA_Stream_8peek(struct __pyx_obj_5talib_7_ta_lib_ZLEMA_Stream *__pyx_v_self, double __pyx_v_real); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12ZLEMA_Stream_5value___get__(struct __pyx_obj_5talib_7_ta_lib_ZLEMA_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_pf_5talib_7_ta_lib_12ZLEMA_Stream_10copy(struct __pyx_obj_5talib_7_ta_lib_ZLEMA_Stream *__pyx_v_self); /* proto */ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_AC_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ACCBANDS_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ACOS_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_AD_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ADD_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ADOSC_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ADR_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ADX_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ADXR_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_AO_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_APO_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_AROON_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_AROONOSC_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ASIN_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ATAN_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ATR_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_AVGDEV_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_AVGPRICE_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_BBANDS_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_BETA_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_BOP_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CCI_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDL2CROWS_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDL3BLACKCROWS_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDL3INSIDE_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDL3LINESTRIKE_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDL3OUTSIDE_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLABANDONEDBABY_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLBELTHOLD_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLBREAKAWAY_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLDOJI_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLDOJISTAR_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLENGULFING_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLEVENINGSTAR_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLHAMMER_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLHANGINGMAN_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLHARAMI_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLHARAMICROSS_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLHIGHWAVE_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLHIKKAKE_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLINNECK_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLKICKING_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLLONGLINE_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLMARUBOZU_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLMATCHINGLOW_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLMATHOLD_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLMORNINGSTAR_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLONNECK_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLPIERCING_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLSHORTLINE_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLSPINNINGTOP_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLTAKURI_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLTASUKIGAP_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLTHRUSTING_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLTRISTAR_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CEIL_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CMF_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CMO_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CMOU_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_COPPOCK_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CORREL_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_COS_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_COSH_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CUMSUM_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CVI_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_DEMA_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_DIV_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_DONCHIAN_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_DPO_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_DX_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_EFI_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_EMA_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ER_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ERI_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_EXP_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_FLOOR_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_FOSC_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_FRACTAL_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_HA_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_HMA_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_HT_DCPERIOD_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_HT_DCPHASE_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_HT_PHASOR_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_HT_SINE_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_HT_TRENDLINE_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_HT_TRENDMODE_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_IMI_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_KAMA_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_KC_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_KDJ_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_LINEARREG_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_LINEARREG_ANGLE_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_LINEARREG_SLOPE_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_LN_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_LOG10_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MA_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MACD_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MACDEXT_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MACDFIX_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MAMA_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MARKETFI_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MASSI_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MAVP_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MAX_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MAXINDEX_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MEDPRICE_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MFI_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MIDPOINT_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MIDPRICE_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MIN_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MININDEX_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MINMAX_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MINMAXINDEX_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MINUS_DI_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject 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PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_PLUS_DM_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_PPO_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_PVI_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_PVO_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_PVT_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_QSTICK_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_RMA_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ROC_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ROCP_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ROCR_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ROCR100_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_RSI_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_RVI_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_RVOL_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_SAR_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_SAREXT_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_SIN_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject 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PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_TSF_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_TSI_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_TYPPRICE_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ULTOSC_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_VAR_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_VHF_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_VORTEX_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject *__pyx_tp_new_5talib_7_ta_lib_VWAP_Stream(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/ +static PyObject 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#define CYTHON_SMALL_CODE +#endif +#endif + +typedef struct { + PyObject *__pyx_d; + PyObject *__pyx_b; + PyObject *__pyx_cython_runtime; + PyObject *__pyx_empty_tuple; + PyObject *__pyx_empty_bytes; + PyObject *__pyx_empty_unicode; + PyTypeObject *__pyx_ptype_7cpython_4type_type; + PyTypeObject *__pyx_ptype_5numpy_dtype; + PyTypeObject *__pyx_ptype_5numpy_flatiter; + PyTypeObject *__pyx_ptype_5numpy_broadcast; + PyTypeObject *__pyx_ptype_5numpy_ndarray; + PyTypeObject *__pyx_ptype_5numpy_generic; + PyTypeObject *__pyx_ptype_5numpy_number; + PyTypeObject *__pyx_ptype_5numpy_integer; + PyTypeObject *__pyx_ptype_5numpy_signedinteger; + PyTypeObject *__pyx_ptype_5numpy_unsignedinteger; + PyTypeObject *__pyx_ptype_5numpy_inexact; + PyTypeObject *__pyx_ptype_5numpy_floating; + PyTypeObject *__pyx_ptype_5numpy_complexfloating; + PyTypeObject *__pyx_ptype_5numpy_flexible; + PyTypeObject *__pyx_ptype_5numpy_character; + PyTypeObject *__pyx_ptype_5numpy_ufunc; + PyObject 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*__pyx_ptype_5talib_7_ta_lib_TRIX_Stream; + PyTypeObject *__pyx_ptype_5talib_7_ta_lib_TSF_Stream; + PyTypeObject *__pyx_ptype_5talib_7_ta_lib_TSI_Stream; + PyTypeObject *__pyx_ptype_5talib_7_ta_lib_TYPPRICE_Stream; + PyTypeObject *__pyx_ptype_5talib_7_ta_lib_ULTOSC_Stream; + PyTypeObject *__pyx_ptype_5talib_7_ta_lib_VAR_Stream; + PyTypeObject *__pyx_ptype_5talib_7_ta_lib_VHF_Stream; + PyTypeObject *__pyx_ptype_5talib_7_ta_lib_VORTEX_Stream; + PyTypeObject *__pyx_ptype_5talib_7_ta_lib_VWAP_Stream; + PyTypeObject *__pyx_ptype_5talib_7_ta_lib_VWMA_Stream; + PyTypeObject *__pyx_ptype_5talib_7_ta_lib_WAD_Stream; + PyTypeObject *__pyx_ptype_5talib_7_ta_lib_WCLPRICE_Stream; + PyTypeObject *__pyx_ptype_5talib_7_ta_lib_WILLR_Stream; + PyTypeObject *__pyx_ptype_5talib_7_ta_lib_WMA_Stream; + PyTypeObject *__pyx_ptype_5talib_7_ta_lib_ZLEMA_Stream; + __Pyx_CachedCFunction __pyx_umethod_PyDict_Type_items; + __Pyx_CachedCFunction __pyx_umethod_PyDict_Type_pop; + __Pyx_CachedCFunction __pyx_umethod_PyDict_Type_values; + PyObject *__pyx_tuple[55]; + PyObject *__pyx_codeobj_tab[453]; + PyObject *__pyx_string_tab[2870]; + PyObject *__pyx_number_tab[35]; +/* #### Code section: module_state_contents ### */ +/* CommonTypesMetaclass.module_state_decls */ +PyTypeObject *__pyx_CommonTypesMetaclassType; + +/* CachedMethodType.module_state_decls */ +#if CYTHON_COMPILING_IN_LIMITED_API +PyObject *__Pyx_CachedMethodType; +#endif + +/* CythonFunctionShared.module_state_decls */ +PyTypeObject *__pyx_CyFunctionType; + +/* CodeObjectCache.module_state_decls */ +struct __Pyx_CodeObjectCache __pyx_code_cache; + +/* #### Code section: module_state_end ### */ +} __pyx_mstatetype; + +#if CYTHON_USE_MODULE_STATE +#ifdef __cplusplus +namespace { +extern struct PyModuleDef __pyx_moduledef; +} /* anonymous namespace */ +#else +static struct PyModuleDef __pyx_moduledef; +#endif + +#define __pyx_mstate_global (__Pyx_PyModule_GetState(__Pyx_State_FindModule(&__pyx_moduledef))) + +#define __pyx_m (__Pyx_State_FindModule(&__pyx_moduledef)) +#else +static __pyx_mstatetype __pyx_mstate_global_static = +#ifdef __cplusplus + {}; +#else + {0}; +#endif +static __pyx_mstatetype * const __pyx_mstate_global = &__pyx_mstate_global_static; +#endif +/* #### Code section: constant_name_defines ### */ +#define __pyx_kp_u_ __pyx_string_tab[0] +#define __pyx_kp_u_3 __pyx_string_tab[1] +#define __pyx_kp_u_ADXR_has_no_unstable_period_of_i __pyx_string_tab[2] +#define __pyx_kp_u_A_period_of_1_performs_no_smooth __pyx_string_tab[3] +#define __pyx_kp_u_Allocation_Error_TA_ALLOC_ERR __pyx_string_tab[4] +#define __pyx_kp_u_Bad_Object_TA_BAD_OBJECT __pyx_string_tab[5] +#define __pyx_kp_u_Bad_Parameter_TA_BAD_PARAM __pyx_string_tab[6] +#define __pyx_kp_u_Bull_Bear_Pattern_Bearish_0_Neut __pyx_string_tab[7] +#define __pyx_kp_u_Cannot_mix_polars_and_pandas __pyx_string_tab[8] +#define __pyx_kp_u_Dashed_Line __pyx_string_tab[9] +#define __pyx_kp_u_Dotted_Line __pyx_string_tab[10] +#define __pyx_kp_u_Double_Exponential_Moving_Averag __pyx_string_tab[11] +#define __pyx_kp_u_Exponential_Moving_Average __pyx_string_tab[12] +#define __pyx_kp_u_Function_Not_Found_TA_FUNC_NOT_F __pyx_string_tab[13] +#define __pyx_kp_u_Function_has_a_streaming_API __pyx_string_tab[14] +#define __pyx_kp_u_Function_has_an_unstable_period __pyx_string_tab[15] +#define __pyx_kp_u_Group_Not_Found_TA_GROUP_NOT_FOU __pyx_string_tab[16] +#define __pyx_kp_u_Hull_Moving_Average __pyx_string_tab[17] +#define __pyx_kp_u_Input_Not_All_Initialized_TA_INP __pyx_string_tab[18] +#define __pyx_kp_u_Inputs __pyx_string_tab[19] +#define __pyx_kp_u_Insufficient_History_TA_INSUFFIC __pyx_string_tab[20] +#define __pyx_kp_u_Internal_Error_TA_INTERNAL_ERROR __pyx_string_tab[21] +#define __pyx_kp_u_Invalid_Handle_TA_INVALID_HANDLE __pyx_string_tab[22] +#define __pyx_kp_u_Invalid_List_Type_TA_INVALID_LIS __pyx_string_tab[23] +#define __pyx_kp_u_Invalid_Parameter_Function_TA_IN __pyx_string_tab[24] +#define __pyx_kp_u_Invalid_Parameter_Holder_TA_INVA __pyx_string_tab[25] +#define __pyx_kp_u_Invalid_Parameter_Holder_Type_TA __pyx_string_tab[26] +#define __pyx_kp_u_Invalid_parameter_value_for __pyx_string_tab[27] +#define __pyx_kp_u_Kaufman_Adaptive_Moving_Average __pyx_string_tab[28] +#define __pyx_kp_u_Library_Not_Initialized_TA_LIB_N __pyx_string_tab[29] +#define __pyx_kp_u_MESA_Adaptive_Moving_Average __pyx_string_tab[30] +#define __pyx_kp_u_MFI_s_unstable_period_was_retire __pyx_string_tab[31] +#define __pyx_kp_u_No_Moving_Average_identity __pyx_string_tab[32] +#define __pyx_kp_u_None __pyx_string_tab[33] +#define __pyx_kp_u_Not_Supported_TA_NOT_SUPPORTED __pyx_string_tab[34] +#define __pyx_kp_u_Not_enough_history_to_open_a_str __pyx_string_tab[35] +#define __pyx_kp_u_Not_enough_price_arguments_expec __pyx_string_tab[36] +#define __pyx_kp_u_Note_that_Cython_is_deliberately __pyx_string_tab[37] +#define __pyx_kp_u_Out_of_Range_End_Index_TA_OUT_OF __pyx_string_tab[38] +#define __pyx_kp_u_Out_of_Range_Start_Index_TA_OUT __pyx_string_tab[39] +#define __pyx_kp_u_Output_Not_All_Initialized_TA_OU __pyx_string_tab[40] +#define __pyx_kp_u_Output_can_be_NaN_or_infinite __pyx_string_tab[41] +#define __pyx_kp_u_Output_can_be_negative __pyx_string_tab[42] +#define __pyx_kp_u_Output_can_be_positive __pyx_string_tab[43] +#define __pyx_kp_u_Output_can_be_zero __pyx_string_tab[44] +#define __pyx_kp_u_Output_is_a_candlestick __pyx_string_tab[45] +#define __pyx_kp_u_Output_is_optional_nullable __pyx_string_tab[46] +#define __pyx_kp_u_Output_is_over_volume __pyx_string_tab[47] +#define __pyx_kp_u_Output_is_path_dependent __pyx_string_tab[48] +#define __pyx_kp_u_Output_scale_same_as_input __pyx_string_tab[49] +#define __pyx_kp_u_Outputs __pyx_string_tab[50] +#define __pyx_kp_u_Parameters __pyx_string_tab[51] +#define __pyx_kp_u_Pattern_Bool __pyx_string_tab[52] +#define __pyx_kp_u_STOCHRSI_has_no_unstable_period __pyx_string_tab[53] +#define __pyx_kp_u_Simple_Moving_Average __pyx_string_tab[54] +#define __pyx_kp_u_Strength_Pattern_200_100_Bearish __pyx_string_tab[55] +#define __pyx_kp_u_The_Function_s_Own_Default_Movin __pyx_string_tab[56] +#define __pyx_kp_u_This_is_a_pythonic_wrapper_arou __pyx_string_tab[57] +#define __pyx_kp_u_Too_many_price_arguments_expecte __pyx_string_tab[58] +#define __pyx_kp_u_Triangular_Moving_Average __pyx_string_tab[59] +#define __pyx_kp_u_Triple_Exponential_Moving_Averag __pyx_string_tab[60] +#define __pyx_kp_u_Triple_Generalized_Double_Expone __pyx_string_tab[61] +#define __pyx_kp_u_Unknown_Error __pyx_string_tab[62] +#define __pyx_kp_u_Unknown_Error_TA_UNKNOWN_ERR __pyx_string_tab[63] +#define __pyx_kp_u_Values_represent_a_lower_limit __pyx_string_tab[64] +#define __pyx_kp_u_Values_represent_an_upper_limit __pyx_string_tab[65] +#define __pyx_kp_u_Weighted_Moving_Average __pyx_string_tab[66] +#define __pyx_kp_u_Wilder_s_Smoothed_Moving_Average __pyx_string_tab[67] +#define __pyx_kp_u_Zero_Lag_Exponential_Moving_Aver __pyx_string_tab[68] +#define __pyx_kp_u__10 __pyx_string_tab[69] +#define __pyx_kp_u__11 __pyx_string_tab[70] +#define __pyx_kp_u__12 __pyx_string_tab[71] +#define __pyx_kp_u__13 __pyx_string_tab[72] +#define __pyx_kp_u__14 __pyx_string_tab[73] +#define __pyx_kp_u__15 __pyx_string_tab[74] +#define __pyx_kp_u__2 __pyx_string_tab[75] +#define __pyx_kp_u__3 __pyx_string_tab[76] +#define __pyx_kp_u__4 __pyx_string_tab[77] +#define __pyx_kp_u__5 __pyx_string_tab[78] +#define __pyx_kp_u__6 __pyx_string_tab[79] +#define __pyx_kp_u__7 __pyx_string_tab[80] +#define __pyx_kp_u__8 __pyx_string_tab[81] +#define __pyx_kp_u__9 __pyx_string_tab[82] +#define __pyx_kp_u_add_note __pyx_string_tab[83] +#define __pyx_kp_u_any_ndarray __pyx_string_tab[84] +#define __pyx_kp_u_aroondown_aroonup __pyx_string_tab[85] +#define __pyx_kp_u_bars_of_history_at_least __pyx_string_tab[86] +#define __pyx_kp_u_begidx_nbelement __pyx_string_tab[87] +#define __pyx_kp_u_bullpower_bearpower __pyx_string_tab[88] +#define __pyx_kp_u_cannot_pickle_s_a_stream_handle __pyx_string_tab[89] +#define __pyx_kp_u_disable __pyx_string_tab[90] +#define __pyx_kp_u_display_name_s_group_s __pyx_string_tab[91] +#define __pyx_kp_u_enable __pyx_string_tab[92] +#define __pyx_kp_u_expected __pyx_string_tab[93] +#define __pyx_kp_u_fastk_fastd __pyx_string_tab[94] +#define __pyx_kp_u_function_failed_with_error_code __pyx_string_tab[95] +#define __pyx_kp_u_gc __pyx_string_tab[96] +#define __pyx_kp_u_got __pyx_string_tab[97] +#define __pyx_kp_u_haopen_hahigh_halow_haclose __pyx_string_tab[98] +#define __pyx_kp_u_inphase_quadrature __pyx_string_tab[99] +#define __pyx_kp_u_input_array_has_wrong_dimensions __pyx_string_tab[100] +#define __pyx_kp_u_input_array_lengths_are_differen __pyx_string_tab[101] +#define __pyx_kp_u_input_array_type_is_not_double __pyx_string_tab[102] +#define __pyx_kp_u_input_arrays_2 __pyx_string_tab[103] +#define __pyx_kp_u_input_arrays_parameter_missing_r __pyx_string_tab[104] +#define __pyx_kp_u_input_must_be_a_numpy_array_or_a __pyx_string_tab[105] +#define __pyx_kp_u_integer_values_are_100_0_or_100 __pyx_string_tab[106] +#define __pyx_kp_u_is_deprecated_and_has_no_effect __pyx_string_tab[107] +#define __pyx_kp_u_isenabled __pyx_string_tab[108] +#define __pyx_kp_u_k_d_j __pyx_string_tab[109] +#define __pyx_kp_u_macd_macdsignal_macdhist __pyx_string_tab[110] +#define __pyx_kp_u_mama_fama __pyx_string_tab[111] +#define __pyx_kp_u_min_max __pyx_string_tab[112] +#define __pyx_kp_u_minidx_maxidx __pyx_string_tab[113] +#define __pyx_kp_u_needed_a_leading_bar_that_is_Na __pyx_string_tab[114] +#define __pyx_kp_u_no_history_the_input_array_is_em __pyx_string_tab[115] +#define __pyx_kp_u_numpy__core_multiarray_failed_to __pyx_string_tab[116] +#define __pyx_kp_u_numpy__core_umath_failed_to_impo __pyx_string_tab[117] +#define __pyx_kp_u_plusvi_minusvi __pyx_string_tab[118] +#define __pyx_kp_u_real_integer __pyx_string_tab[119] +#define __pyx_kp_u_s_2 __pyx_string_tab[120] +#define __pyx_kp_u_s_3 __pyx_string_tab[121] +#define __pyx_kp_u_s_4 __pyx_string_tab[122] +#define __pyx_kp_u_s_advance __pyx_string_tab[123] +#define __pyx_kp_u_s_out_range __pyx_string_tab[124] +#define __pyx_kp_u_sine_leadsine __pyx_string_tab[125] +#define __pyx_kp_u_slowk_slowd __pyx_string_tab[126] +#define __pyx_kp_u_smi_smisignal __pyx_string_tab[127] +#define __pyx_kp_u_swinghigh_swinglow __pyx_string_tab[128] +#define __pyx_kp_u_talib__abstract_pxi __pyx_string_tab[129] +#define __pyx_kp_u_talib__common_pxi __pyx_string_tab[130] +#define __pyx_kp_u_talib__func_pxi __pyx_string_tab[131] +#define __pyx_kp_u_talib__stream_pxi __pyx_string_tab[132] +#define __pyx_kp_u_talib_collections __pyx_string_tab[133] +#define __pyx_kp_u_talib_numpy __pyx_string_tab[134] +#define __pyx_kp_u_talib_ordereddict __pyx_string_tab[135] +#define __pyx_kp_u_talib_pandas __pyx_string_tab[136] +#define __pyx_kp_u_talib_polars __pyx_string_tab[137] +#define __pyx_kp_u_talib_sys __pyx_string_tab[138] +#define __pyx_kp_u_talib_threading __pyx_string_tab[139] +#define __pyx_kp_u_talib_warnings __pyx_string_tab[140] +#define __pyx_kp_u_too_many_input_arrays __pyx_string_tab[141] +#define __pyx_kp_u_unstable_period __pyx_string_tab[142] +#define __pyx_kp_u_upperband_middleband_lowerband __pyx_string_tab[143] +#define __pyx_n_u_AC __pyx_string_tab[144] +#define __pyx_n_u_ACCBANDS __pyx_string_tab[145] +#define __pyx_n_u_ACCBANDS_Stream __pyx_string_tab[146] +#define __pyx_n_u_ACCBANDS_Stream_open_and_fill __pyx_string_tab[147] +#define __pyx_n_u_ACCBANDS_Value __pyx_string_tab[148] +#define __pyx_n_u_ACOS __pyx_string_tab[149] +#define __pyx_n_u_ACOS_Stream __pyx_string_tab[150] +#define __pyx_n_u_ACOS_Stream_open_and_fill __pyx_string_tab[151] +#define __pyx_n_u_AC_Stream __pyx_string_tab[152] +#define __pyx_n_u_AC_Stream_open_and_fill __pyx_string_tab[153] +#define __pyx_n_u_AD __pyx_string_tab[154] +#define __pyx_n_u_ADD __pyx_string_tab[155] +#define __pyx_n_u_ADD_Stream __pyx_string_tab[156] +#define __pyx_n_u_ADD_Stream_open_and_fill __pyx_string_tab[157] +#define __pyx_n_u_ADOSC __pyx_string_tab[158] +#define __pyx_n_u_ADOSC_Stream __pyx_string_tab[159] +#define __pyx_n_u_ADOSC_Stream_open_and_fill __pyx_string_tab[160] +#define __pyx_n_u_ADR __pyx_string_tab[161] +#define __pyx_n_u_ADR_Stream __pyx_string_tab[162] +#define __pyx_n_u_ADR_Stream_open_and_fill __pyx_string_tab[163] +#define __pyx_n_u_ADX __pyx_string_tab[164] +#define __pyx_n_u_ADXR __pyx_string_tab[165] +#define __pyx_n_u_ADXR_Stream __pyx_string_tab[166] +#define __pyx_n_u_ADXR_Stream_open_and_fill __pyx_string_tab[167] +#define __pyx_n_u_ADX_Stream __pyx_string_tab[168] +#define __pyx_n_u_ADX_Stream_open_and_fill __pyx_string_tab[169] +#define __pyx_n_u_AD_Stream __pyx_string_tab[170] +#define __pyx_n_u_AD_Stream_open_and_fill __pyx_string_tab[171] +#define __pyx_n_u_ALL __pyx_string_tab[172] +#define __pyx_n_u_AO __pyx_string_tab[173] +#define __pyx_n_u_AO_Stream __pyx_string_tab[174] +#define __pyx_n_u_AO_Stream_open_and_fill __pyx_string_tab[175] +#define __pyx_n_u_APO __pyx_string_tab[176] +#define __pyx_n_u_APO_Stream __pyx_string_tab[177] +#define __pyx_n_u_APO_Stream_open_and_fill __pyx_string_tab[178] +#define __pyx_n_u_AROON __pyx_string_tab[179] +#define __pyx_n_u_AROONOSC __pyx_string_tab[180] +#define __pyx_n_u_AROONOSC_Stream __pyx_string_tab[181] +#define __pyx_n_u_AROONOSC_Stream_open_and_fill __pyx_string_tab[182] +#define __pyx_n_u_AROON_Stream __pyx_string_tab[183] +#define __pyx_n_u_AROON_Stream_open_and_fill __pyx_string_tab[184] +#define __pyx_n_u_AROON_Value __pyx_string_tab[185] +#define __pyx_n_u_ARRAY_TYPES __pyx_string_tab[186] +#define __pyx_n_u_ASIN __pyx_string_tab[187] +#define __pyx_n_u_ASIN_Stream __pyx_string_tab[188] +#define __pyx_n_u_ASIN_Stream_open_and_fill __pyx_string_tab[189] +#define __pyx_n_u_ATAN __pyx_string_tab[190] +#define __pyx_n_u_ATAN_Stream __pyx_string_tab[191] +#define __pyx_n_u_ATAN_Stream_open_and_fill __pyx_string_tab[192] +#define __pyx_n_u_ATR __pyx_string_tab[193] +#define __pyx_n_u_ATR_Stream __pyx_string_tab[194] +#define __pyx_n_u_ATR_Stream_open_and_fill __pyx_string_tab[195] +#define __pyx_n_u_AVGDEV __pyx_string_tab[196] +#define __pyx_n_u_AVGDEV_Stream __pyx_string_tab[197] +#define __pyx_n_u_AVGDEV_Stream_open_and_fill __pyx_string_tab[198] +#define __pyx_n_u_AVGPRICE __pyx_string_tab[199] +#define __pyx_n_u_AVGPRICE_Stream __pyx_string_tab[200] +#define __pyx_n_u_AVGPRICE_Stream_open_and_fill __pyx_string_tab[201] +#define __pyx_n_u_AllCandleSettings __pyx_string_tab[202] +#define __pyx_n_u_BBANDS __pyx_string_tab[203] +#define __pyx_n_u_BBANDS_Stream __pyx_string_tab[204] +#define __pyx_n_u_BBANDS_Stream_open_and_fill __pyx_string_tab[205] +#define __pyx_n_u_BBANDS_Value __pyx_string_tab[206] +#define __pyx_n_u_BETA __pyx_string_tab[207] +#define __pyx_n_u_BETA_Stream __pyx_string_tab[208] +#define __pyx_n_u_BETA_Stream_open_and_fill __pyx_string_tab[209] +#define __pyx_n_u_BOP __pyx_string_tab[210] +#define __pyx_n_u_BOP_Stream __pyx_string_tab[211] +#define __pyx_n_u_BOP_Stream_open_and_fill __pyx_string_tab[212] +#define __pyx_n_u_BodyDoji __pyx_string_tab[213] +#define __pyx_n_u_BodyLong __pyx_string_tab[214] +#define __pyx_n_u_BodyShort __pyx_string_tab[215] +#define __pyx_n_u_BodyVeryLong __pyx_string_tab[216] +#define __pyx_n_u_CCI __pyx_string_tab[217] +#define __pyx_n_u_CCI_Stream __pyx_string_tab[218] +#define __pyx_n_u_CCI_Stream_open_and_fill __pyx_string_tab[219] +#define __pyx_n_u_CDL2CROWS __pyx_string_tab[220] +#define __pyx_n_u_CDL2CROWS_Stream __pyx_string_tab[221] +#define __pyx_n_u_CDL2CROWS_Stream_open_and_fill __pyx_string_tab[222] +#define __pyx_n_u_CDL3BLACKCROWS __pyx_string_tab[223] +#define __pyx_n_u_CDL3BLACKCROWS_Stream __pyx_string_tab[224] +#define __pyx_n_u_CDL3BLACKCROWS_Stream_open_and_f __pyx_string_tab[225] +#define __pyx_n_u_CDL3INSIDE __pyx_string_tab[226] +#define __pyx_n_u_CDL3INSIDE_Stream __pyx_string_tab[227] +#define __pyx_n_u_CDL3INSIDE_Stream_open_and_fill __pyx_string_tab[228] +#define __pyx_n_u_CDL3LINESTRIKE __pyx_string_tab[229] +#define __pyx_n_u_CDL3LINESTRIKE_Stream __pyx_string_tab[230] +#define __pyx_n_u_CDL3LINESTRIKE_Stream_open_and_f __pyx_string_tab[231] +#define __pyx_n_u_CDL3OUTSIDE __pyx_string_tab[232] +#define __pyx_n_u_CDL3OUTSIDE_Stream __pyx_string_tab[233] +#define __pyx_n_u_CDL3OUTSIDE_Stream_open_and_fill __pyx_string_tab[234] +#define __pyx_n_u_CDL3STARSINSOUTH __pyx_string_tab[235] +#define __pyx_n_u_CDL3STARSINSOUTH_Stream __pyx_string_tab[236] +#define __pyx_n_u_CDL3STARSINSOUTH_Stream_open_and __pyx_string_tab[237] +#define __pyx_n_u_CDL3WHITESOLDIERS __pyx_string_tab[238] +#define __pyx_n_u_CDL3WHITESOLDIERS_Stream __pyx_string_tab[239] +#define __pyx_n_u_CDL3WHITESOLDIERS_Stream_open_an __pyx_string_tab[240] +#define __pyx_n_u_CDLABANDONEDBABY __pyx_string_tab[241] +#define __pyx_n_u_CDLABANDONEDBABY_Stream __pyx_string_tab[242] +#define __pyx_n_u_CDLABANDONEDBABY_Stream_open_and __pyx_string_tab[243] +#define __pyx_n_u_CDLADVANCEBLOCK __pyx_string_tab[244] +#define __pyx_n_u_CDLADVANCEBLOCK_Stream __pyx_string_tab[245] +#define __pyx_n_u_CDLADVANCEBLOCK_Stream_open_and __pyx_string_tab[246] +#define __pyx_n_u_CDLBELTHOLD __pyx_string_tab[247] +#define __pyx_n_u_CDLBELTHOLD_Stream __pyx_string_tab[248] +#define __pyx_n_u_CDLBELTHOLD_Stream_open_and_fill __pyx_string_tab[249] +#define __pyx_n_u_CDLBREAKAWAY __pyx_string_tab[250] +#define __pyx_n_u_CDLBREAKAWAY_Stream __pyx_string_tab[251] +#define __pyx_n_u_CDLBREAKAWAY_Stream_open_and_fil __pyx_string_tab[252] +#define __pyx_n_u_CDLCLOSINGMARUBOZU __pyx_string_tab[253] +#define __pyx_n_u_CDLCLOSINGMARUBOZU_Stream __pyx_string_tab[254] +#define __pyx_n_u_CDLCLOSINGMARUBOZU_Stream_open_a __pyx_string_tab[255] +#define __pyx_n_u_CDLCONCEALBABYSWALL __pyx_string_tab[256] +#define __pyx_n_u_CDLCONCEALBABYSWALL_Stream __pyx_string_tab[257] +#define __pyx_n_u_CDLCONCEALBABYSWALL_Stream_open __pyx_string_tab[258] +#define __pyx_n_u_CDLCOUNTERATTACK __pyx_string_tab[259] +#define __pyx_n_u_CDLCOUNTERATTACK_Stream __pyx_string_tab[260] +#define __pyx_n_u_CDLCOUNTERATTACK_Stream_open_and __pyx_string_tab[261] +#define __pyx_n_u_CDLDARKCLOUDCOVER __pyx_string_tab[262] +#define __pyx_n_u_CDLDARKCLOUDCOVER_Stream __pyx_string_tab[263] +#define __pyx_n_u_CDLDARKCLOUDCOVER_Stream_open_an __pyx_string_tab[264] +#define __pyx_n_u_CDLDOJI __pyx_string_tab[265] +#define __pyx_n_u_CDLDOJISTAR __pyx_string_tab[266] +#define __pyx_n_u_CDLDOJISTAR_Stream __pyx_string_tab[267] +#define __pyx_n_u_CDLDOJISTAR_Stream_open_and_fill __pyx_string_tab[268] +#define __pyx_n_u_CDLDOJI_Stream __pyx_string_tab[269] +#define __pyx_n_u_CDLDOJI_Stream_open_and_fill __pyx_string_tab[270] +#define __pyx_n_u_CDLDRAGONFLYDOJI __pyx_string_tab[271] +#define __pyx_n_u_CDLDRAGONFLYDOJI_Stream __pyx_string_tab[272] +#define __pyx_n_u_CDLDRAGONFLYDOJI_Stream_open_and __pyx_string_tab[273] +#define __pyx_n_u_CDLENGULFING __pyx_string_tab[274] +#define __pyx_n_u_CDLENGULFING_Stream __pyx_string_tab[275] +#define __pyx_n_u_CDLENGULFING_Stream_open_and_fil __pyx_string_tab[276] +#define __pyx_n_u_CDLEVENINGDOJISTAR __pyx_string_tab[277] +#define __pyx_n_u_CDLEVENINGDOJISTAR_Stream __pyx_string_tab[278] +#define __pyx_n_u_CDLEVENINGDOJISTAR_Stream_open_a __pyx_string_tab[279] +#define __pyx_n_u_CDLEVENINGSTAR __pyx_string_tab[280] +#define __pyx_n_u_CDLEVENINGSTAR_Stream __pyx_string_tab[281] +#define __pyx_n_u_CDLEVENINGSTAR_Stream_open_and_f __pyx_string_tab[282] +#define __pyx_n_u_CDLGAPSIDESIDEWHITE __pyx_string_tab[283] +#define __pyx_n_u_CDLGAPSIDESIDEWHITE_Stream __pyx_string_tab[284] +#define __pyx_n_u_CDLGAPSIDESIDEWHITE_Stream_open __pyx_string_tab[285] +#define __pyx_n_u_CDLGRAVESTONEDOJI __pyx_string_tab[286] +#define __pyx_n_u_CDLGRAVESTONEDOJI_Stream __pyx_string_tab[287] +#define __pyx_n_u_CDLGRAVESTONEDOJI_Stream_open_an __pyx_string_tab[288] +#define __pyx_n_u_CDLHAMMER __pyx_string_tab[289] +#define __pyx_n_u_CDLHAMMER_Stream __pyx_string_tab[290] +#define __pyx_n_u_CDLHAMMER_Stream_open_and_fill __pyx_string_tab[291] +#define __pyx_n_u_CDLHANGINGMAN __pyx_string_tab[292] +#define __pyx_n_u_CDLHANGINGMAN_Stream __pyx_string_tab[293] +#define __pyx_n_u_CDLHANGINGMAN_Stream_open_and_fi __pyx_string_tab[294] +#define __pyx_n_u_CDLHARAMI __pyx_string_tab[295] +#define __pyx_n_u_CDLHARAMICROSS __pyx_string_tab[296] +#define __pyx_n_u_CDLHARAMICROSS_Stream __pyx_string_tab[297] +#define __pyx_n_u_CDLHARAMICROSS_Stream_open_and_f __pyx_string_tab[298] +#define __pyx_n_u_CDLHARAMI_Stream __pyx_string_tab[299] +#define __pyx_n_u_CDLHARAMI_Stream_open_and_fill __pyx_string_tab[300] +#define __pyx_n_u_CDLHIGHWAVE __pyx_string_tab[301] +#define __pyx_n_u_CDLHIGHWAVE_Stream __pyx_string_tab[302] +#define __pyx_n_u_CDLHIGHWAVE_Stream_open_and_fill __pyx_string_tab[303] +#define __pyx_n_u_CDLHIKKAKE __pyx_string_tab[304] +#define __pyx_n_u_CDLHIKKAKEMOD __pyx_string_tab[305] +#define __pyx_n_u_CDLHIKKAKEMOD_Stream __pyx_string_tab[306] +#define __pyx_n_u_CDLHIKKAKEMOD_Stream_open_and_fi __pyx_string_tab[307] +#define __pyx_n_u_CDLHIKKAKE_Stream __pyx_string_tab[308] +#define __pyx_n_u_CDLHIKKAKE_Stream_open_and_fill __pyx_string_tab[309] +#define __pyx_n_u_CDLHOMINGPIGEON __pyx_string_tab[310] +#define __pyx_n_u_CDLHOMINGPIGEON_Stream __pyx_string_tab[311] +#define __pyx_n_u_CDLHOMINGPIGEON_Stream_open_and __pyx_string_tab[312] +#define __pyx_n_u_CDLIDENTICAL3CROWS __pyx_string_tab[313] +#define __pyx_n_u_CDLIDENTICAL3CROWS_Stream __pyx_string_tab[314] +#define __pyx_n_u_CDLIDENTICAL3CROWS_Stream_open_a __pyx_string_tab[315] +#define __pyx_n_u_CDLINNECK __pyx_string_tab[316] +#define __pyx_n_u_CDLINNECK_Stream __pyx_string_tab[317] +#define __pyx_n_u_CDLINNECK_Stream_open_and_fill __pyx_string_tab[318] +#define __pyx_n_u_CDLINVERTEDHAMMER __pyx_string_tab[319] +#define __pyx_n_u_CDLINVERTEDHAMMER_Stream __pyx_string_tab[320] +#define __pyx_n_u_CDLINVERTEDHAMMER_Stream_open_an __pyx_string_tab[321] +#define __pyx_n_u_CDLKICKING __pyx_string_tab[322] +#define __pyx_n_u_CDLKICKINGBYLENGTH __pyx_string_tab[323] +#define __pyx_n_u_CDLKICKINGBYLENGTH_Stream __pyx_string_tab[324] +#define __pyx_n_u_CDLKICKINGBYLENGTH_Stream_open_a __pyx_string_tab[325] +#define __pyx_n_u_CDLKICKING_Stream __pyx_string_tab[326] +#define __pyx_n_u_CDLKICKING_Stream_open_and_fill __pyx_string_tab[327] +#define __pyx_n_u_CDLLADDERBOTTOM __pyx_string_tab[328] +#define __pyx_n_u_CDLLADDERBOTTOM_Stream __pyx_string_tab[329] +#define __pyx_n_u_CDLLADDERBOTTOM_Stream_open_and __pyx_string_tab[330] +#define __pyx_n_u_CDLLONGLEGGEDDOJI __pyx_string_tab[331] +#define __pyx_n_u_CDLLONGLEGGEDDOJI_Stream __pyx_string_tab[332] +#define __pyx_n_u_CDLLONGLEGGEDDOJI_Stream_open_an __pyx_string_tab[333] +#define __pyx_n_u_CDLLONGLINE __pyx_string_tab[334] +#define __pyx_n_u_CDLLONGLINE_Stream __pyx_string_tab[335] +#define __pyx_n_u_CDLLONGLINE_Stream_open_and_fill __pyx_string_tab[336] +#define __pyx_n_u_CDLMARUBOZU __pyx_string_tab[337] +#define __pyx_n_u_CDLMARUBOZU_Stream __pyx_string_tab[338] +#define __pyx_n_u_CDLMARUBOZU_Stream_open_and_fill __pyx_string_tab[339] +#define __pyx_n_u_CDLMATCHINGLOW __pyx_string_tab[340] +#define __pyx_n_u_CDLMATCHINGLOW_Stream __pyx_string_tab[341] +#define __pyx_n_u_CDLMATCHINGLOW_Stream_open_and_f __pyx_string_tab[342] +#define __pyx_n_u_CDLMATHOLD __pyx_string_tab[343] +#define __pyx_n_u_CDLMATHOLD_Stream __pyx_string_tab[344] +#define __pyx_n_u_CDLMATHOLD_Stream_open_and_fill __pyx_string_tab[345] +#define __pyx_n_u_CDLMORNINGDOJISTAR __pyx_string_tab[346] +#define __pyx_n_u_CDLMORNINGDOJISTAR_Stream __pyx_string_tab[347] +#define __pyx_n_u_CDLMORNINGDOJISTAR_Stream_open_a __pyx_string_tab[348] +#define __pyx_n_u_CDLMORNINGSTAR __pyx_string_tab[349] +#define __pyx_n_u_CDLMORNINGSTAR_Stream __pyx_string_tab[350] +#define __pyx_n_u_CDLMORNINGSTAR_Stream_open_and_f __pyx_string_tab[351] +#define __pyx_n_u_CDLONNECK __pyx_string_tab[352] +#define __pyx_n_u_CDLONNECK_Stream __pyx_string_tab[353] +#define __pyx_n_u_CDLONNECK_Stream_open_and_fill __pyx_string_tab[354] +#define __pyx_n_u_CDLPIERCING __pyx_string_tab[355] +#define __pyx_n_u_CDLPIERCING_Stream __pyx_string_tab[356] +#define __pyx_n_u_CDLPIERCING_Stream_open_and_fill __pyx_string_tab[357] +#define __pyx_n_u_CDLRICKSHAWMAN __pyx_string_tab[358] +#define __pyx_n_u_CDLRICKSHAWMAN_Stream __pyx_string_tab[359] +#define __pyx_n_u_CDLRICKSHAWMAN_Stream_open_and_f __pyx_string_tab[360] +#define __pyx_n_u_CDLRISEFALL3METHODS __pyx_string_tab[361] +#define __pyx_n_u_CDLRISEFALL3METHODS_Stream __pyx_string_tab[362] +#define __pyx_n_u_CDLRISEFALL3METHODS_Stream_open __pyx_string_tab[363] +#define __pyx_n_u_CDLSEPARATINGLINES __pyx_string_tab[364] +#define __pyx_n_u_CDLSEPARATINGLINES_Stream __pyx_string_tab[365] +#define __pyx_n_u_CDLSEPARATINGLINES_Stream_open_a __pyx_string_tab[366] +#define __pyx_n_u_CDLSHOOTINGSTAR __pyx_string_tab[367] +#define __pyx_n_u_CDLSHOOTINGSTAR_Stream __pyx_string_tab[368] +#define __pyx_n_u_CDLSHOOTINGSTAR_Stream_open_and __pyx_string_tab[369] +#define __pyx_n_u_CDLSHORTLINE __pyx_string_tab[370] +#define __pyx_n_u_CDLSHORTLINE_Stream __pyx_string_tab[371] +#define __pyx_n_u_CDLSHORTLINE_Stream_open_and_fil __pyx_string_tab[372] +#define __pyx_n_u_CDLSPINNINGTOP __pyx_string_tab[373] +#define __pyx_n_u_CDLSPINNINGTOP_Stream __pyx_string_tab[374] +#define __pyx_n_u_CDLSPINNINGTOP_Stream_open_and_f __pyx_string_tab[375] +#define __pyx_n_u_CDLSTALLEDPATTERN __pyx_string_tab[376] +#define __pyx_n_u_CDLSTALLEDPATTERN_Stream __pyx_string_tab[377] +#define __pyx_n_u_CDLSTALLEDPATTERN_Stream_open_an __pyx_string_tab[378] +#define __pyx_n_u_CDLSTICKSANDWICH __pyx_string_tab[379] +#define __pyx_n_u_CDLSTICKSANDWICH_Stream __pyx_string_tab[380] +#define __pyx_n_u_CDLSTICKSANDWICH_Stream_open_and __pyx_string_tab[381] +#define __pyx_n_u_CDLTAKURI __pyx_string_tab[382] +#define __pyx_n_u_CDLTAKURI_Stream __pyx_string_tab[383] +#define __pyx_n_u_CDLTAKURI_Stream_open_and_fill __pyx_string_tab[384] +#define __pyx_n_u_CDLTASUKIGAP __pyx_string_tab[385] +#define __pyx_n_u_CDLTASUKIGAP_Stream __pyx_string_tab[386] +#define __pyx_n_u_CDLTASUKIGAP_Stream_open_and_fil __pyx_string_tab[387] +#define __pyx_n_u_CDLTHRUSTING __pyx_string_tab[388] +#define __pyx_n_u_CDLTHRUSTING_Stream __pyx_string_tab[389] +#define __pyx_n_u_CDLTHRUSTING_Stream_open_and_fil __pyx_string_tab[390] +#define __pyx_n_u_CDLTRISTAR __pyx_string_tab[391] +#define __pyx_n_u_CDLTRISTAR_Stream __pyx_string_tab[392] +#define __pyx_n_u_CDLTRISTAR_Stream_open_and_fill __pyx_string_tab[393] +#define __pyx_n_u_CDLUNIQUE3RIVER __pyx_string_tab[394] +#define __pyx_n_u_CDLUNIQUE3RIVER_Stream __pyx_string_tab[395] +#define __pyx_n_u_CDLUNIQUE3RIVER_Stream_open_and __pyx_string_tab[396] +#define __pyx_n_u_CDLUPSIDEGAP2CROWS __pyx_string_tab[397] +#define __pyx_n_u_CDLUPSIDEGAP2CROWS_Stream __pyx_string_tab[398] +#define __pyx_n_u_CDLUPSIDEGAP2CROWS_Stream_open_a __pyx_string_tab[399] +#define __pyx_n_u_CDLXSIDEGAP3METHODS __pyx_string_tab[400] +#define __pyx_n_u_CDLXSIDEGAP3METHODS_Stream __pyx_string_tab[401] +#define __pyx_n_u_CDLXSIDEGAP3METHODS_Stream_open __pyx_string_tab[402] +#define __pyx_n_u_CEIL __pyx_string_tab[403] +#define __pyx_n_u_CEIL_Stream __pyx_string_tab[404] +#define __pyx_n_u_CEIL_Stream_open_and_fill __pyx_string_tab[405] +#define __pyx_n_u_CMF __pyx_string_tab[406] +#define __pyx_n_u_CMF_Stream __pyx_string_tab[407] +#define __pyx_n_u_CMF_Stream_open_and_fill __pyx_string_tab[408] +#define __pyx_n_u_CMO __pyx_string_tab[409] +#define __pyx_n_u_CMOU __pyx_string_tab[410] +#define __pyx_n_u_CMOU_Stream __pyx_string_tab[411] +#define __pyx_n_u_CMOU_Stream_open_and_fill __pyx_string_tab[412] +#define __pyx_n_u_CMO_Stream __pyx_string_tab[413] +#define __pyx_n_u_CMO_Stream_open_and_fill __pyx_string_tab[414] +#define __pyx_n_u_COPPOCK __pyx_string_tab[415] +#define __pyx_n_u_COPPOCK_Stream __pyx_string_tab[416] +#define __pyx_n_u_COPPOCK_Stream_open_and_fill __pyx_string_tab[417] +#define __pyx_n_u_CORREL __pyx_string_tab[418] +#define __pyx_n_u_CORREL_Stream __pyx_string_tab[419] +#define __pyx_n_u_CORREL_Stream_open_and_fill __pyx_string_tab[420] +#define __pyx_n_u_COS __pyx_string_tab[421] +#define __pyx_n_u_COSH __pyx_string_tab[422] +#define __pyx_n_u_COSH_Stream __pyx_string_tab[423] +#define __pyx_n_u_COSH_Stream_open_and_fill __pyx_string_tab[424] +#define __pyx_n_u_COS_Stream __pyx_string_tab[425] +#define __pyx_n_u_COS_Stream_open_and_fill __pyx_string_tab[426] +#define __pyx_n_u_CUMSUM __pyx_string_tab[427] +#define __pyx_n_u_CUMSUM_Stream __pyx_string_tab[428] +#define __pyx_n_u_CUMSUM_Stream_open_and_fill __pyx_string_tab[429] +#define __pyx_n_u_CVI __pyx_string_tab[430] +#define __pyx_n_u_CVI_Stream __pyx_string_tab[431] +#define __pyx_n_u_CVI_Stream_open_and_fill __pyx_string_tab[432] +#define __pyx_n_u_CandleSettingType __pyx_string_tab[433] +#define __pyx_n_u_DEFAULT __pyx_string_tab[434] +#define __pyx_n_u_DEMA __pyx_string_tab[435] +#define __pyx_n_u_DEMA_Stream __pyx_string_tab[436] +#define __pyx_n_u_DEMA_Stream_open_and_fill __pyx_string_tab[437] +#define __pyx_n_u_DISABLED __pyx_string_tab[438] +#define __pyx_n_u_DIV __pyx_string_tab[439] +#define __pyx_n_u_DIV_Stream __pyx_string_tab[440] +#define __pyx_n_u_DIV_Stream_open_and_fill __pyx_string_tab[441] +#define __pyx_n_u_DONCHIAN __pyx_string_tab[442] +#define __pyx_n_u_DONCHIAN_Stream __pyx_string_tab[443] +#define __pyx_n_u_DONCHIAN_Stream_open_and_fill __pyx_string_tab[444] +#define __pyx_n_u_DONCHIAN_Value __pyx_string_tab[445] +#define __pyx_n_u_DPO __pyx_string_tab[446] +#define __pyx_n_u_DPO_Stream __pyx_string_tab[447] +#define __pyx_n_u_DPO_Stream_open_and_fill __pyx_string_tab[448] +#define __pyx_n_u_DX __pyx_string_tab[449] +#define __pyx_n_u_DX_Stream __pyx_string_tab[450] +#define __pyx_n_u_DX_Stream_open_and_fill __pyx_string_tab[451] +#define __pyx_n_u_DataFrame __pyx_string_tab[452] +#define __pyx_n_u_Dot __pyx_string_tab[453] +#define __pyx_n_u_EFI __pyx_string_tab[454] +#define __pyx_n_u_EFI_Stream __pyx_string_tab[455] +#define __pyx_n_u_EFI_Stream_open_and_fill __pyx_string_tab[456] +#define __pyx_n_u_EMA __pyx_string_tab[457] +#define __pyx_n_u_EMA_Stream __pyx_string_tab[458] +#define __pyx_n_u_EMA_Stream_open_and_fill __pyx_string_tab[459] +#define __pyx_n_u_ER __pyx_string_tab[460] +#define __pyx_n_u_ERI __pyx_string_tab[461] +#define __pyx_n_u_ERI_Stream __pyx_string_tab[462] +#define __pyx_n_u_ERI_Stream_open_and_fill __pyx_string_tab[463] +#define __pyx_n_u_ERI_Value __pyx_string_tab[464] +#define __pyx_n_u_ER_Stream __pyx_string_tab[465] +#define __pyx_n_u_ER_Stream_open_and_fill __pyx_string_tab[466] +#define __pyx_n_u_EXP __pyx_string_tab[467] +#define __pyx_n_u_EXP_Stream __pyx_string_tab[468] +#define __pyx_n_u_EXP_Stream_open_and_fill __pyx_string_tab[469] +#define __pyx_n_u_Equal __pyx_string_tab[470] +#define __pyx_n_u_FLOOR __pyx_string_tab[471] +#define __pyx_n_u_FLOOR_Stream __pyx_string_tab[472] +#define __pyx_n_u_FLOOR_Stream_open_and_fill __pyx_string_tab[473] +#define __pyx_n_u_FOSC __pyx_string_tab[474] +#define __pyx_n_u_FOSC_Stream __pyx_string_tab[475] +#define __pyx_n_u_FOSC_Stream_open_and_fill __pyx_string_tab[476] +#define __pyx_n_u_FRACTAL __pyx_string_tab[477] +#define __pyx_n_u_FRACTAL_Stream __pyx_string_tab[478] +#define __pyx_n_u_FRACTAL_Stream_open_and_fill __pyx_string_tab[479] +#define __pyx_n_u_FRACTAL_Value __pyx_string_tab[480] +#define __pyx_n_u_Far __pyx_string_tab[481] +#define __pyx_n_u_Function __pyx_string_tab[482] +#define __pyx_n_u_Function___call __pyx_string_tab[483] +#define __pyx_n_u_Function___call_function __pyx_string_tab[484] +#define __pyx_n_u_Function___check_opt_input_value __pyx_string_tab[485] +#define __pyx_n_u_Function___get_opt_input_value __pyx_string_tab[486] +#define __pyx_n_u_Function___init __pyx_string_tab[487] +#define __pyx_n_u_Function___input_price_series_na __pyx_string_tab[488] +#define __pyx_n_u_Function___local __pyx_string_tab[489] +#define __pyx_n_u_Function___repr __pyx_string_tab[490] +#define __pyx_n_u_Function___str __pyx_string_tab[491] +#define __pyx_n_u_Function___unicode __pyx_string_tab[492] +#define __pyx_n_u_Function__call_function __pyx_string_tab[493] +#define __pyx_n_u_Function__check_opt_input_value __pyx_string_tab[494] +#define __pyx_n_u_Function__get_opt_input_value __pyx_string_tab[495] +#define __pyx_n_u_Function__input_price_series_na __pyx_string_tab[496] +#define __pyx_n_u_Function__local __pyx_string_tab[497] +#define __pyx_n_u_Function__localdata __pyx_string_tab[498] +#define __pyx_n_u_Function__name __pyx_string_tab[499] +#define __pyx_n_u_Function__namestr __pyx_string_tab[500] +#define __pyx_n_u_Function_function_flags __pyx_string_tab[501] +#define __pyx_n_u_Function_get_input_arrays __pyx_string_tab[502] +#define __pyx_n_u_Function_get_input_names __pyx_string_tab[503] +#define __pyx_n_u_Function_get_parameters __pyx_string_tab[504] +#define __pyx_n_u_Function_info __pyx_string_tab[505] +#define __pyx_n_u_Function_lookback __pyx_string_tab[506] +#define __pyx_n_u_Function_output_flags __pyx_string_tab[507] +#define __pyx_n_u_Function_output_names __pyx_string_tab[508] +#define __pyx_n_u_Function_outputs __pyx_string_tab[509] +#define __pyx_n_u_Function_run __pyx_string_tab[510] +#define __pyx_n_u_Function_set_function_args __pyx_string_tab[511] +#define __pyx_n_u_Function_set_input_arrays __pyx_string_tab[512] +#define __pyx_n_u_Function_set_input_names __pyx_string_tab[513] +#define __pyx_n_u_Function_set_parameters __pyx_string_tab[514] +#define __pyx_n_u_HA __pyx_string_tab[515] +#define __pyx_n_u_HA_Stream __pyx_string_tab[516] +#define __pyx_n_u_HA_Stream_open_and_fill __pyx_string_tab[517] +#define __pyx_n_u_HA_Value __pyx_string_tab[518] +#define __pyx_n_u_HMA __pyx_string_tab[519] +#define __pyx_n_u_HMA_Stream __pyx_string_tab[520] +#define __pyx_n_u_HMA_Stream_open_and_fill __pyx_string_tab[521] +#define __pyx_n_u_HT_DCPERIOD __pyx_string_tab[522] +#define __pyx_n_u_HT_DCPERIOD_Stream __pyx_string_tab[523] +#define __pyx_n_u_HT_DCPERIOD_Stream_open_and_fill __pyx_string_tab[524] +#define __pyx_n_u_HT_DCPHASE __pyx_string_tab[525] +#define __pyx_n_u_HT_DCPHASE_Stream __pyx_string_tab[526] +#define __pyx_n_u_HT_DCPHASE_Stream_open_and_fill __pyx_string_tab[527] +#define __pyx_n_u_HT_PHASOR __pyx_string_tab[528] +#define __pyx_n_u_HT_PHASOR_Stream __pyx_string_tab[529] +#define __pyx_n_u_HT_PHASOR_Stream_open_and_fill __pyx_string_tab[530] +#define __pyx_n_u_HT_PHASOR_Value __pyx_string_tab[531] +#define __pyx_n_u_HT_SINE __pyx_string_tab[532] +#define __pyx_n_u_HT_SINE_Stream __pyx_string_tab[533] +#define __pyx_n_u_HT_SINE_Stream_open_and_fill __pyx_string_tab[534] +#define __pyx_n_u_HT_SINE_Value __pyx_string_tab[535] +#define __pyx_n_u_HT_TRENDLINE __pyx_string_tab[536] +#define __pyx_n_u_HT_TRENDLINE_Stream __pyx_string_tab[537] +#define __pyx_n_u_HT_TRENDLINE_Stream_open_and_fil __pyx_string_tab[538] +#define __pyx_n_u_HT_TRENDMODE __pyx_string_tab[539] +#define __pyx_n_u_HT_TRENDMODE_Stream __pyx_string_tab[540] +#define __pyx_n_u_HT_TRENDMODE_Stream_open_and_fil __pyx_string_tab[541] +#define __pyx_n_u_HighLow __pyx_string_tab[542] +#define __pyx_n_u_Histogram __pyx_string_tab[543] +#define __pyx_n_u_IMI __pyx_string_tab[544] +#define __pyx_n_u_IMI_Stream __pyx_string_tab[545] +#define __pyx_n_u_IMI_Stream_open_and_fill __pyx_string_tab[546] +#define __pyx_n_u_INPUT_ARRAYS_TYPES __pyx_string_tab[547] +#define __pyx_n_u_INPUT_PRICE_SERIES_DEFAULTS __pyx_string_tab[548] +#define __pyx_n_u_InsufficientHistory __pyx_string_tab[549] +#define __pyx_n_u_KAMA __pyx_string_tab[550] +#define __pyx_n_u_KAMA_Stream __pyx_string_tab[551] +#define __pyx_n_u_KAMA_Stream_open_and_fill __pyx_string_tab[552] +#define __pyx_n_u_KC __pyx_string_tab[553] +#define __pyx_n_u_KC_Stream __pyx_string_tab[554] +#define __pyx_n_u_KC_Stream_open_and_fill __pyx_string_tab[555] +#define __pyx_n_u_KC_Value __pyx_string_tab[556] +#define __pyx_n_u_KDJ __pyx_string_tab[557] +#define __pyx_n_u_KDJ_Stream __pyx_string_tab[558] +#define __pyx_n_u_KDJ_Stream_open_and_fill __pyx_string_tab[559] +#define __pyx_n_u_KDJ_Value __pyx_string_tab[560] +#define __pyx_n_u_LINEARREG __pyx_string_tab[561] +#define __pyx_n_u_LINEARREG_ANGLE __pyx_string_tab[562] +#define __pyx_n_u_LINEARREG_ANGLE_Stream __pyx_string_tab[563] +#define __pyx_n_u_LINEARREG_ANGLE_Stream_open_and __pyx_string_tab[564] +#define __pyx_n_u_LINEARREG_INTERCEPT __pyx_string_tab[565] +#define __pyx_n_u_LINEARREG_INTERCEPT_Stream __pyx_string_tab[566] +#define __pyx_n_u_LINEARREG_INTERCEPT_Stream_open __pyx_string_tab[567] +#define __pyx_n_u_LINEARREG_SLOPE __pyx_string_tab[568] +#define __pyx_n_u_LINEARREG_SLOPE_Stream __pyx_string_tab[569] +#define __pyx_n_u_LINEARREG_SLOPE_Stream_open_and __pyx_string_tab[570] +#define __pyx_n_u_LINEARREG_Stream __pyx_string_tab[571] +#define __pyx_n_u_LINEARREG_Stream_open_and_fill __pyx_string_tab[572] +#define __pyx_n_u_LN __pyx_string_tab[573] +#define __pyx_n_u_LN_Stream __pyx_string_tab[574] +#define __pyx_n_u_LN_Stream_open_and_fill __pyx_string_tab[575] +#define __pyx_n_u_LOG10 __pyx_string_tab[576] +#define __pyx_n_u_LOG10_Stream __pyx_string_tab[577] +#define __pyx_n_u_LOG10_Stream_open_and_fill __pyx_string_tab[578] +#define __pyx_n_u_Line __pyx_string_tab[579] +#define __pyx_n_u_MA __pyx_string_tab[580] +#define __pyx_n_u_MACD __pyx_string_tab[581] +#define __pyx_n_u_MACDEXT __pyx_string_tab[582] +#define __pyx_n_u_MACDEXT_Stream __pyx_string_tab[583] +#define __pyx_n_u_MACDEXT_Stream_open_and_fill __pyx_string_tab[584] +#define __pyx_n_u_MACDEXT_Value __pyx_string_tab[585] +#define __pyx_n_u_MACDFIX __pyx_string_tab[586] +#define __pyx_n_u_MACDFIX_Stream __pyx_string_tab[587] +#define __pyx_n_u_MACDFIX_Stream_open_and_fill __pyx_string_tab[588] +#define __pyx_n_u_MACDFIX_Value __pyx_string_tab[589] +#define __pyx_n_u_MACD_Stream __pyx_string_tab[590] +#define __pyx_n_u_MACD_Stream_open_and_fill __pyx_string_tab[591] +#define __pyx_n_u_MACD_Value __pyx_string_tab[592] +#define __pyx_n_u_MAMA __pyx_string_tab[593] +#define __pyx_n_u_MAMA_Stream __pyx_string_tab[594] +#define __pyx_n_u_MAMA_Stream_open_and_fill __pyx_string_tab[595] +#define __pyx_n_u_MAMA_Value __pyx_string_tab[596] +#define __pyx_n_u_MARKETFI __pyx_string_tab[597] +#define __pyx_n_u_MARKETFI_Stream __pyx_string_tab[598] +#define __pyx_n_u_MARKETFI_Stream_open_and_fill __pyx_string_tab[599] +#define __pyx_n_u_MASSI __pyx_string_tab[600] +#define __pyx_n_u_MASSI_Stream __pyx_string_tab[601] +#define __pyx_n_u_MASSI_Stream_open_and_fill __pyx_string_tab[602] +#define __pyx_n_u_MAVP __pyx_string_tab[603] +#define __pyx_n_u_MAVP_Stream __pyx_string_tab[604] +#define __pyx_n_u_MAVP_Stream_open_and_fill __pyx_string_tab[605] +#define __pyx_n_u_MAX __pyx_string_tab[606] +#define __pyx_n_u_MAXINDEX __pyx_string_tab[607] +#define __pyx_n_u_MAXINDEX_Stream __pyx_string_tab[608] +#define __pyx_n_u_MAXINDEX_Stream_open_and_fill __pyx_string_tab[609] +#define __pyx_n_u_MAX_Stream __pyx_string_tab[610] +#define __pyx_n_u_MAX_Stream_open_and_fill __pyx_string_tab[611] +#define __pyx_n_u_MA_Stream __pyx_string_tab[612] +#define __pyx_n_u_MA_Stream_open_and_fill __pyx_string_tab[613] +#define __pyx_n_u_MA_Type __pyx_string_tab[614] +#define __pyx_n_u_MA_Type___getitem __pyx_string_tab[615] +#define __pyx_n_u_MA_Type___init __pyx_string_tab[616] +#define __pyx_n_u_MEDPRICE __pyx_string_tab[617] +#define __pyx_n_u_MEDPRICE_Stream __pyx_string_tab[618] +#define __pyx_n_u_MEDPRICE_Stream_open_and_fill __pyx_string_tab[619] +#define __pyx_n_u_MFI __pyx_string_tab[620] +#define __pyx_n_u_MFI_Stream __pyx_string_tab[621] +#define __pyx_n_u_MFI_Stream_open_and_fill __pyx_string_tab[622] +#define __pyx_n_u_MIDPOINT __pyx_string_tab[623] +#define __pyx_n_u_MIDPOINT_Stream __pyx_string_tab[624] +#define __pyx_n_u_MIDPOINT_Stream_open_and_fill __pyx_string_tab[625] +#define __pyx_n_u_MIDPRICE __pyx_string_tab[626] +#define __pyx_n_u_MIDPRICE_Stream __pyx_string_tab[627] +#define __pyx_n_u_MIDPRICE_Stream_open_and_fill __pyx_string_tab[628] +#define __pyx_n_u_MIN __pyx_string_tab[629] +#define __pyx_n_u_MININDEX __pyx_string_tab[630] +#define __pyx_n_u_MININDEX_Stream __pyx_string_tab[631] +#define __pyx_n_u_MININDEX_Stream_open_and_fill __pyx_string_tab[632] +#define __pyx_n_u_MINMAX __pyx_string_tab[633] +#define __pyx_n_u_MINMAXINDEX __pyx_string_tab[634] +#define __pyx_n_u_MINMAXINDEX_Stream __pyx_string_tab[635] +#define __pyx_n_u_MINMAXINDEX_Stream_open_and_fill __pyx_string_tab[636] +#define __pyx_n_u_MINMAXINDEX_Value __pyx_string_tab[637] +#define __pyx_n_u_MINMAX_Stream __pyx_string_tab[638] +#define __pyx_n_u_MINMAX_Stream_open_and_fill __pyx_string_tab[639] +#define __pyx_n_u_MINMAX_Value __pyx_string_tab[640] +#define __pyx_n_u_MINUS_DI __pyx_string_tab[641] +#define __pyx_n_u_MINUS_DI_Stream __pyx_string_tab[642] +#define __pyx_n_u_MINUS_DI_Stream_open_and_fill __pyx_string_tab[643] +#define __pyx_n_u_MINUS_DM __pyx_string_tab[644] +#define __pyx_n_u_MINUS_DM_Stream __pyx_string_tab[645] +#define __pyx_n_u_MINUS_DM_Stream_open_and_fill __pyx_string_tab[646] +#define __pyx_n_u_MIN_Stream __pyx_string_tab[647] +#define __pyx_n_u_MIN_Stream_open_and_fill __pyx_string_tab[648] +#define __pyx_n_u_MOM __pyx_string_tab[649] +#define __pyx_n_u_MOM_Stream __pyx_string_tab[650] +#define __pyx_n_u_MOM_Stream_open_and_fill __pyx_string_tab[651] +#define __pyx_n_u_MULT __pyx_string_tab[652] +#define __pyx_n_u_MULT_Stream __pyx_string_tab[653] +#define __pyx_n_u_MULT_Stream_open_and_fill __pyx_string_tab[654] +#define __pyx_n_u_NATR __pyx_string_tab[655] +#define __pyx_n_u_NATR_Stream __pyx_string_tab[656] +#define __pyx_n_u_NATR_Stream_open_and_fill __pyx_string_tab[657] +#define __pyx_n_u_NONE __pyx_string_tab[658] +#define __pyx_n_u_NVI __pyx_string_tab[659] +#define __pyx_n_u_NVI_Stream __pyx_string_tab[660] +#define __pyx_n_u_NVI_Stream_open_and_fill __pyx_string_tab[661] +#define __pyx_n_u_Near __pyx_string_tab[662] +#define __pyx_n_u_OBV __pyx_string_tab[663] +#define __pyx_n_u_OBV_Stream __pyx_string_tab[664] +#define __pyx_n_u_OBV_Stream_open_and_fill __pyx_string_tab[665] +#define __pyx_n_u_OrderedDict __pyx_string_tab[666] +#define __pyx_n_u_OutRange __pyx_string_tab[667] +#define __pyx_n_u_PANDAS_DATAFRAME __pyx_string_tab[668] +#define __pyx_n_u_PANDAS_SERIES __pyx_string_tab[669] +#define __pyx_n_u_PERCENTILE __pyx_string_tab[670] +#define __pyx_n_u_PERCENTILE_Stream __pyx_string_tab[671] +#define __pyx_n_u_PERCENTILE_Stream_open_and_fill __pyx_string_tab[672] +#define __pyx_n_u_PERCENTRANK __pyx_string_tab[673] +#define __pyx_n_u_PERCENTRANK_Stream __pyx_string_tab[674] +#define __pyx_n_u_PERCENTRANK_Stream_open_and_fill __pyx_string_tab[675] +#define __pyx_n_u_PLUS_DI __pyx_string_tab[676] +#define __pyx_n_u_PLUS_DI_Stream __pyx_string_tab[677] +#define __pyx_n_u_PLUS_DI_Stream_open_and_fill __pyx_string_tab[678] +#define __pyx_n_u_PLUS_DM __pyx_string_tab[679] +#define __pyx_n_u_PLUS_DM_Stream __pyx_string_tab[680] +#define __pyx_n_u_PLUS_DM_Stream_open_and_fill __pyx_string_tab[681] +#define __pyx_n_u_POLARS_DATAFRAME __pyx_string_tab[682] +#define __pyx_n_u_POLARS_SERIES __pyx_string_tab[683] +#define __pyx_n_u_PPO __pyx_string_tab[684] +#define __pyx_n_u_PPO_Stream __pyx_string_tab[685] +#define __pyx_n_u_PPO_Stream_open_and_fill __pyx_string_tab[686] +#define __pyx_n_u_PVI __pyx_string_tab[687] +#define __pyx_n_u_PVI_Stream __pyx_string_tab[688] +#define __pyx_n_u_PVI_Stream_open_and_fill __pyx_string_tab[689] +#define __pyx_n_u_PVO __pyx_string_tab[690] +#define __pyx_n_u_PVO_Stream __pyx_string_tab[691] +#define __pyx_n_u_PVO_Stream_open_and_fill __pyx_string_tab[692] +#define __pyx_n_u_PVT __pyx_string_tab[693] +#define __pyx_n_u_PVT_Stream __pyx_string_tab[694] +#define __pyx_n_u_PVT_Stream_open_and_fill __pyx_string_tab[695] +#define __pyx_n_u_Pyx_PyDict_NextRef __pyx_string_tab[696] +#define __pyx_n_u_QSTICK __pyx_string_tab[697] +#define __pyx_n_u_QSTICK_Stream __pyx_string_tab[698] +#define __pyx_n_u_QSTICK_Stream_open_and_fill __pyx_string_tab[699] +#define __pyx_n_u_RMA __pyx_string_tab[700] +#define __pyx_n_u_RMA_Stream __pyx_string_tab[701] +#define __pyx_n_u_RMA_Stream_open_and_fill __pyx_string_tab[702] +#define __pyx_n_u_ROC __pyx_string_tab[703] +#define __pyx_n_u_ROCP __pyx_string_tab[704] +#define __pyx_n_u_ROCP_Stream __pyx_string_tab[705] +#define __pyx_n_u_ROCP_Stream_open_and_fill __pyx_string_tab[706] +#define __pyx_n_u_ROCR __pyx_string_tab[707] +#define __pyx_n_u_ROCR100 __pyx_string_tab[708] +#define __pyx_n_u_ROCR100_Stream __pyx_string_tab[709] +#define __pyx_n_u_ROCR100_Stream_open_and_fill __pyx_string_tab[710] +#define __pyx_n_u_ROCR_Stream __pyx_string_tab[711] +#define __pyx_n_u_ROCR_Stream_open_and_fill __pyx_string_tab[712] +#define __pyx_n_u_ROC_Stream __pyx_string_tab[713] +#define __pyx_n_u_ROC_Stream_open_and_fill __pyx_string_tab[714] +#define __pyx_n_u_RSI __pyx_string_tab[715] +#define __pyx_n_u_RSI_Stream __pyx_string_tab[716] +#define __pyx_n_u_RSI_Stream_open_and_fill __pyx_string_tab[717] +#define __pyx_n_u_RVI __pyx_string_tab[718] +#define __pyx_n_u_RVI_Stream __pyx_string_tab[719] +#define __pyx_n_u_RVI_Stream_open_and_fill __pyx_string_tab[720] +#define __pyx_n_u_RVOL __pyx_string_tab[721] +#define __pyx_n_u_RVOL_Stream __pyx_string_tab[722] +#define __pyx_n_u_RVOL_Stream_open_and_fill __pyx_string_tab[723] +#define __pyx_n_u_RangeType __pyx_string_tab[724] +#define __pyx_n_u_RealBody __pyx_string_tab[725] +#define __pyx_n_u_SAR __pyx_string_tab[726] +#define __pyx_n_u_SAREXT __pyx_string_tab[727] +#define __pyx_n_u_SAREXT_Stream __pyx_string_tab[728] +#define __pyx_n_u_SAREXT_Stream_open_and_fill __pyx_string_tab[729] +#define __pyx_n_u_SAR_Stream __pyx_string_tab[730] +#define __pyx_n_u_SAR_Stream_open_and_fill __pyx_string_tab[731] +#define __pyx_n_u_SIN __pyx_string_tab[732] +#define __pyx_n_u_SINH __pyx_string_tab[733] +#define __pyx_n_u_SINH_Stream __pyx_string_tab[734] +#define __pyx_n_u_SINH_Stream_open_and_fill __pyx_string_tab[735] +#define __pyx_n_u_SIN_Stream __pyx_string_tab[736] +#define __pyx_n_u_SIN_Stream_open_and_fill __pyx_string_tab[737] +#define __pyx_n_u_SMA __pyx_string_tab[738] +#define __pyx_n_u_SMA_Stream __pyx_string_tab[739] +#define __pyx_n_u_SMA_Stream_open_and_fill __pyx_string_tab[740] +#define __pyx_n_u_SMI __pyx_string_tab[741] +#define __pyx_n_u_SMI_Stream __pyx_string_tab[742] +#define __pyx_n_u_SMI_Stream_open_and_fill __pyx_string_tab[743] +#define __pyx_n_u_SMI_Value __pyx_string_tab[744] +#define __pyx_n_u_SQRT __pyx_string_tab[745] +#define __pyx_n_u_SQRT_Stream __pyx_string_tab[746] +#define __pyx_n_u_SQRT_Stream_open_and_fill __pyx_string_tab[747] +#define __pyx_n_u_STDDEV __pyx_string_tab[748] +#define __pyx_n_u_STDDEV_Stream __pyx_string_tab[749] +#define __pyx_n_u_STDDEV_Stream_open_and_fill __pyx_string_tab[750] +#define __pyx_n_u_STOCH __pyx_string_tab[751] +#define __pyx_n_u_STOCHF __pyx_string_tab[752] +#define __pyx_n_u_STOCHF_Stream __pyx_string_tab[753] +#define __pyx_n_u_STOCHF_Stream_open_and_fill __pyx_string_tab[754] +#define __pyx_n_u_STOCHF_Value __pyx_string_tab[755] +#define __pyx_n_u_STOCHRSI __pyx_string_tab[756] +#define __pyx_n_u_STOCHRSI_Stream __pyx_string_tab[757] +#define __pyx_n_u_STOCHRSI_Stream_open_and_fill __pyx_string_tab[758] +#define __pyx_n_u_STOCHRSI_Value __pyx_string_tab[759] +#define __pyx_n_u_STOCH_Stream __pyx_string_tab[760] +#define __pyx_n_u_STOCH_Stream_open_and_fill __pyx_string_tab[761] +#define __pyx_n_u_STOCH_Value __pyx_string_tab[762] +#define __pyx_n_u_SUB __pyx_string_tab[763] +#define __pyx_n_u_SUB_Stream __pyx_string_tab[764] +#define __pyx_n_u_SUB_Stream_open_and_fill __pyx_string_tab[765] +#define __pyx_n_u_SUM __pyx_string_tab[766] +#define __pyx_n_u_SUM_Stream __pyx_string_tab[767] +#define __pyx_n_u_SUM_Stream_open_and_fill __pyx_string_tab[768] +#define __pyx_n_u_SUPERTREND __pyx_string_tab[769] +#define __pyx_n_u_SUPERTREND_Stream __pyx_string_tab[770] +#define __pyx_n_u_SUPERTREND_Stream_open_and_fill __pyx_string_tab[771] +#define __pyx_n_u_SUPERTREND_Value __pyx_string_tab[772] +#define __pyx_n_u_Series __pyx_string_tab[773] +#define __pyx_n_u_ShadowLong __pyx_string_tab[774] +#define __pyx_n_u_ShadowShort __pyx_string_tab[775] +#define __pyx_n_u_ShadowVeryLong __pyx_string_tab[776] +#define __pyx_n_u_ShadowVeryShort __pyx_string_tab[777] +#define __pyx_n_u_Shadows __pyx_string_tab[778] +#define __pyx_n_u_Stream __pyx_string_tab[779] +#define __pyx_n_u_Stream___copy __pyx_string_tab[780] +#define __pyx_n_u_Stream___deepcopy __pyx_string_tab[781] +#define __pyx_n_u_Stream___reduce __pyx_string_tab[782] +#define __pyx_n_u_T3 __pyx_string_tab[783] +#define __pyx_n_u_T3_Stream __pyx_string_tab[784] +#define __pyx_n_u_T3_Stream_open_and_fill __pyx_string_tab[785] +#define __pyx_n_u_TAN __pyx_string_tab[786] +#define __pyx_n_u_TANH __pyx_string_tab[787] +#define __pyx_n_u_TANH_Stream __pyx_string_tab[788] +#define __pyx_n_u_TANH_Stream_open_and_fill __pyx_string_tab[789] +#define __pyx_n_u_TAN_Stream __pyx_string_tab[790] +#define __pyx_n_u_TAN_Stream_open_and_fill __pyx_string_tab[791] +#define __pyx_n_u_TA_AC __pyx_string_tab[792] +#define __pyx_n_u_TA_ACCBANDS __pyx_string_tab[793] +#define __pyx_n_u_TA_ACCBANDS_Clone __pyx_string_tab[794] +#define __pyx_n_u_TA_ACCBANDS_Open __pyx_string_tab[795] +#define __pyx_n_u_TA_ACCBANDS_OpenAndFill __pyx_string_tab[796] +#define __pyx_n_u_TA_ACCBANDS_Peek __pyx_string_tab[797] +#define __pyx_n_u_TA_ACCBANDS_Update __pyx_string_tab[798] +#define __pyx_n_u_TA_ACCBANDS_Value __pyx_string_tab[799] +#define __pyx_n_u_TA_ACOS __pyx_string_tab[800] +#define __pyx_n_u_TA_ACOS_Clone __pyx_string_tab[801] +#define __pyx_n_u_TA_ACOS_Open __pyx_string_tab[802] +#define __pyx_n_u_TA_ACOS_OpenAndFill __pyx_string_tab[803] +#define __pyx_n_u_TA_ACOS_Peek __pyx_string_tab[804] +#define __pyx_n_u_TA_ACOS_Update __pyx_string_tab[805] +#define __pyx_n_u_TA_ACOS_Value __pyx_string_tab[806] +#define __pyx_n_u_TA_AC_Clone __pyx_string_tab[807] +#define __pyx_n_u_TA_AC_Open __pyx_string_tab[808] +#define __pyx_n_u_TA_AC_OpenAndFill __pyx_string_tab[809] +#define __pyx_n_u_TA_AC_Peek __pyx_string_tab[810] +#define __pyx_n_u_TA_AC_Update __pyx_string_tab[811] +#define __pyx_n_u_TA_AC_Value __pyx_string_tab[812] +#define __pyx_n_u_TA_AD __pyx_string_tab[813] +#define __pyx_n_u_TA_ADD __pyx_string_tab[814] +#define __pyx_n_u_TA_ADD_Clone __pyx_string_tab[815] +#define __pyx_n_u_TA_ADD_Open __pyx_string_tab[816] +#define __pyx_n_u_TA_ADD_OpenAndFill __pyx_string_tab[817] +#define __pyx_n_u_TA_ADD_Peek __pyx_string_tab[818] +#define __pyx_n_u_TA_ADD_Update __pyx_string_tab[819] +#define __pyx_n_u_TA_ADD_Value __pyx_string_tab[820] +#define __pyx_n_u_TA_ADOSC __pyx_string_tab[821] +#define __pyx_n_u_TA_ADOSC_Clone __pyx_string_tab[822] +#define __pyx_n_u_TA_ADOSC_Open __pyx_string_tab[823] +#define __pyx_n_u_TA_ADOSC_OpenAndFill __pyx_string_tab[824] +#define __pyx_n_u_TA_ADOSC_Peek __pyx_string_tab[825] +#define __pyx_n_u_TA_ADOSC_Update __pyx_string_tab[826] +#define __pyx_n_u_TA_ADOSC_Value __pyx_string_tab[827] +#define __pyx_n_u_TA_ADR __pyx_string_tab[828] +#define __pyx_n_u_TA_ADR_Clone __pyx_string_tab[829] +#define __pyx_n_u_TA_ADR_Open __pyx_string_tab[830] +#define __pyx_n_u_TA_ADR_OpenAndFill __pyx_string_tab[831] +#define __pyx_n_u_TA_ADR_Peek __pyx_string_tab[832] +#define __pyx_n_u_TA_ADR_Update __pyx_string_tab[833] +#define __pyx_n_u_TA_ADR_Value __pyx_string_tab[834] +#define __pyx_n_u_TA_ADX __pyx_string_tab[835] +#define __pyx_n_u_TA_ADXR __pyx_string_tab[836] +#define __pyx_n_u_TA_ADXR_Clone __pyx_string_tab[837] +#define __pyx_n_u_TA_ADXR_Open __pyx_string_tab[838] +#define __pyx_n_u_TA_ADXR_OpenAndFill __pyx_string_tab[839] +#define __pyx_n_u_TA_ADXR_Peek __pyx_string_tab[840] +#define __pyx_n_u_TA_ADXR_Update __pyx_string_tab[841] +#define __pyx_n_u_TA_ADXR_Value __pyx_string_tab[842] +#define __pyx_n_u_TA_ADX_Clone __pyx_string_tab[843] +#define __pyx_n_u_TA_ADX_Open __pyx_string_tab[844] +#define __pyx_n_u_TA_ADX_OpenAndFill __pyx_string_tab[845] +#define __pyx_n_u_TA_ADX_Peek __pyx_string_tab[846] +#define __pyx_n_u_TA_ADX_Update __pyx_string_tab[847] +#define __pyx_n_u_TA_ADX_Value __pyx_string_tab[848] +#define __pyx_n_u_TA_AD_Clone __pyx_string_tab[849] +#define __pyx_n_u_TA_AD_Open __pyx_string_tab[850] +#define __pyx_n_u_TA_AD_OpenAndFill __pyx_string_tab[851] +#define __pyx_n_u_TA_AD_Peek __pyx_string_tab[852] +#define __pyx_n_u_TA_AD_Update __pyx_string_tab[853] +#define __pyx_n_u_TA_AD_Value __pyx_string_tab[854] +#define __pyx_n_u_TA_AO __pyx_string_tab[855] +#define __pyx_n_u_TA_AO_Clone __pyx_string_tab[856] +#define __pyx_n_u_TA_AO_Open __pyx_string_tab[857] +#define __pyx_n_u_TA_AO_OpenAndFill __pyx_string_tab[858] +#define __pyx_n_u_TA_AO_Peek __pyx_string_tab[859] +#define __pyx_n_u_TA_AO_Update __pyx_string_tab[860] +#define __pyx_n_u_TA_AO_Value __pyx_string_tab[861] +#define __pyx_n_u_TA_APO __pyx_string_tab[862] +#define __pyx_n_u_TA_APO_Clone __pyx_string_tab[863] +#define __pyx_n_u_TA_APO_Open __pyx_string_tab[864] +#define __pyx_n_u_TA_APO_OpenAndFill __pyx_string_tab[865] +#define __pyx_n_u_TA_APO_Peek __pyx_string_tab[866] +#define __pyx_n_u_TA_APO_Update __pyx_string_tab[867] +#define __pyx_n_u_TA_APO_Value __pyx_string_tab[868] +#define __pyx_n_u_TA_AROON __pyx_string_tab[869] +#define __pyx_n_u_TA_AROONOSC __pyx_string_tab[870] +#define __pyx_n_u_TA_AROONOSC_Clone __pyx_string_tab[871] +#define __pyx_n_u_TA_AROONOSC_Open __pyx_string_tab[872] +#define __pyx_n_u_TA_AROONOSC_OpenAndFill __pyx_string_tab[873] +#define __pyx_n_u_TA_AROONOSC_Peek __pyx_string_tab[874] +#define __pyx_n_u_TA_AROONOSC_Update __pyx_string_tab[875] +#define __pyx_n_u_TA_AROONOSC_Value __pyx_string_tab[876] +#define __pyx_n_u_TA_AROON_Clone __pyx_string_tab[877] +#define __pyx_n_u_TA_AROON_Open __pyx_string_tab[878] +#define __pyx_n_u_TA_AROON_OpenAndFill __pyx_string_tab[879] +#define __pyx_n_u_TA_AROON_Peek __pyx_string_tab[880] +#define __pyx_n_u_TA_AROON_Update __pyx_string_tab[881] +#define __pyx_n_u_TA_AROON_Value __pyx_string_tab[882] +#define __pyx_n_u_TA_ASIN __pyx_string_tab[883] +#define __pyx_n_u_TA_ASIN_Clone __pyx_string_tab[884] +#define __pyx_n_u_TA_ASIN_Open __pyx_string_tab[885] +#define __pyx_n_u_TA_ASIN_OpenAndFill __pyx_string_tab[886] +#define __pyx_n_u_TA_ASIN_Peek __pyx_string_tab[887] +#define __pyx_n_u_TA_ASIN_Update __pyx_string_tab[888] +#define __pyx_n_u_TA_ASIN_Value __pyx_string_tab[889] +#define __pyx_n_u_TA_ATAN __pyx_string_tab[890] +#define __pyx_n_u_TA_ATAN_Clone __pyx_string_tab[891] +#define __pyx_n_u_TA_ATAN_Open __pyx_string_tab[892] +#define __pyx_n_u_TA_ATAN_OpenAndFill __pyx_string_tab[893] +#define __pyx_n_u_TA_ATAN_Peek __pyx_string_tab[894] +#define __pyx_n_u_TA_ATAN_Update __pyx_string_tab[895] +#define __pyx_n_u_TA_ATAN_Value __pyx_string_tab[896] +#define __pyx_n_u_TA_ATR __pyx_string_tab[897] +#define __pyx_n_u_TA_ATR_Clone __pyx_string_tab[898] +#define __pyx_n_u_TA_ATR_Open __pyx_string_tab[899] +#define __pyx_n_u_TA_ATR_OpenAndFill __pyx_string_tab[900] +#define __pyx_n_u_TA_ATR_Peek __pyx_string_tab[901] +#define __pyx_n_u_TA_ATR_Update __pyx_string_tab[902] +#define __pyx_n_u_TA_ATR_Value __pyx_string_tab[903] +#define __pyx_n_u_TA_AVGDEV __pyx_string_tab[904] +#define __pyx_n_u_TA_AVGDEV_Clone __pyx_string_tab[905] +#define __pyx_n_u_TA_AVGDEV_Open __pyx_string_tab[906] +#define __pyx_n_u_TA_AVGDEV_OpenAndFill __pyx_string_tab[907] +#define __pyx_n_u_TA_AVGDEV_Peek __pyx_string_tab[908] +#define __pyx_n_u_TA_AVGDEV_Update __pyx_string_tab[909] +#define __pyx_n_u_TA_AVGDEV_Value __pyx_string_tab[910] +#define __pyx_n_u_TA_AVGPRICE __pyx_string_tab[911] +#define __pyx_n_u_TA_AVGPRICE_Clone __pyx_string_tab[912] +#define __pyx_n_u_TA_AVGPRICE_Open __pyx_string_tab[913] +#define __pyx_n_u_TA_AVGPRICE_OpenAndFill __pyx_string_tab[914] +#define __pyx_n_u_TA_AVGPRICE_Peek __pyx_string_tab[915] +#define __pyx_n_u_TA_AVGPRICE_Update __pyx_string_tab[916] +#define __pyx_n_u_TA_AVGPRICE_Value __pyx_string_tab[917] +#define __pyx_n_u_TA_BBANDS __pyx_string_tab[918] +#define __pyx_n_u_TA_BBANDS_Clone __pyx_string_tab[919] +#define __pyx_n_u_TA_BBANDS_Open __pyx_string_tab[920] +#define __pyx_n_u_TA_BBANDS_OpenAndFill __pyx_string_tab[921] +#define __pyx_n_u_TA_BBANDS_Peek __pyx_string_tab[922] +#define __pyx_n_u_TA_BBANDS_Update __pyx_string_tab[923] +#define __pyx_n_u_TA_BBANDS_Value __pyx_string_tab[924] +#define __pyx_n_u_TA_BETA __pyx_string_tab[925] +#define __pyx_n_u_TA_BETA_Clone __pyx_string_tab[926] +#define __pyx_n_u_TA_BETA_Open __pyx_string_tab[927] +#define __pyx_n_u_TA_BETA_OpenAndFill __pyx_string_tab[928] +#define __pyx_n_u_TA_BETA_Peek __pyx_string_tab[929] +#define __pyx_n_u_TA_BETA_Update __pyx_string_tab[930] +#define __pyx_n_u_TA_BETA_Value __pyx_string_tab[931] +#define __pyx_n_u_TA_BOP __pyx_string_tab[932] +#define __pyx_n_u_TA_BOP_Clone __pyx_string_tab[933] +#define __pyx_n_u_TA_BOP_Open __pyx_string_tab[934] +#define __pyx_n_u_TA_BOP_OpenAndFill __pyx_string_tab[935] +#define __pyx_n_u_TA_BOP_Peek __pyx_string_tab[936] +#define __pyx_n_u_TA_BOP_Update __pyx_string_tab[937] +#define __pyx_n_u_TA_BOP_Value __pyx_string_tab[938] +#define __pyx_n_u_TA_CCI __pyx_string_tab[939] +#define __pyx_n_u_TA_CCI_Clone __pyx_string_tab[940] +#define __pyx_n_u_TA_CCI_Open __pyx_string_tab[941] +#define __pyx_n_u_TA_CCI_OpenAndFill __pyx_string_tab[942] +#define __pyx_n_u_TA_CCI_Peek __pyx_string_tab[943] +#define __pyx_n_u_TA_CCI_Update __pyx_string_tab[944] +#define __pyx_n_u_TA_CCI_Value __pyx_string_tab[945] +#define __pyx_n_u_TA_CDL2CROWS __pyx_string_tab[946] +#define __pyx_n_u_TA_CDL2CROWS_Clone __pyx_string_tab[947] +#define __pyx_n_u_TA_CDL2CROWS_Open __pyx_string_tab[948] +#define __pyx_n_u_TA_CDL2CROWS_OpenAndFill __pyx_string_tab[949] +#define __pyx_n_u_TA_CDL2CROWS_Peek __pyx_string_tab[950] +#define __pyx_n_u_TA_CDL2CROWS_Update __pyx_string_tab[951] +#define __pyx_n_u_TA_CDL2CROWS_Value __pyx_string_tab[952] +#define __pyx_n_u_TA_CDL3BLACKCROWS __pyx_string_tab[953] +#define __pyx_n_u_TA_CDL3BLACKCROWS_Clone __pyx_string_tab[954] +#define __pyx_n_u_TA_CDL3BLACKCROWS_Open __pyx_string_tab[955] +#define __pyx_n_u_TA_CDL3BLACKCROWS_OpenAndFill __pyx_string_tab[956] +#define __pyx_n_u_TA_CDL3BLACKCROWS_Peek __pyx_string_tab[957] +#define __pyx_n_u_TA_CDL3BLACKCROWS_Update __pyx_string_tab[958] +#define __pyx_n_u_TA_CDL3BLACKCROWS_Value __pyx_string_tab[959] +#define __pyx_n_u_TA_CDL3INSIDE __pyx_string_tab[960] +#define __pyx_n_u_TA_CDL3INSIDE_Clone __pyx_string_tab[961] +#define __pyx_n_u_TA_CDL3INSIDE_Open __pyx_string_tab[962] +#define __pyx_n_u_TA_CDL3INSIDE_OpenAndFill __pyx_string_tab[963] +#define __pyx_n_u_TA_CDL3INSIDE_Peek __pyx_string_tab[964] +#define __pyx_n_u_TA_CDL3INSIDE_Update __pyx_string_tab[965] +#define __pyx_n_u_TA_CDL3INSIDE_Value __pyx_string_tab[966] +#define __pyx_n_u_TA_CDL3LINESTRIKE __pyx_string_tab[967] +#define __pyx_n_u_TA_CDL3LINESTRIKE_Clone __pyx_string_tab[968] +#define __pyx_n_u_TA_CDL3LINESTRIKE_Open __pyx_string_tab[969] +#define __pyx_n_u_TA_CDL3LINESTRIKE_OpenAndFill __pyx_string_tab[970] +#define __pyx_n_u_TA_CDL3LINESTRIKE_Peek __pyx_string_tab[971] +#define __pyx_n_u_TA_CDL3LINESTRIKE_Update __pyx_string_tab[972] +#define __pyx_n_u_TA_CDL3LINESTRIKE_Value __pyx_string_tab[973] +#define __pyx_n_u_TA_CDL3OUTSIDE __pyx_string_tab[974] +#define __pyx_n_u_TA_CDL3OUTSIDE_Clone __pyx_string_tab[975] +#define __pyx_n_u_TA_CDL3OUTSIDE_Open __pyx_string_tab[976] +#define __pyx_n_u_TA_CDL3OUTSIDE_OpenAndFill __pyx_string_tab[977] +#define __pyx_n_u_TA_CDL3OUTSIDE_Peek __pyx_string_tab[978] +#define __pyx_n_u_TA_CDL3OUTSIDE_Update __pyx_string_tab[979] +#define __pyx_n_u_TA_CDL3OUTSIDE_Value __pyx_string_tab[980] +#define __pyx_n_u_TA_CDL3STARSINSOUTH __pyx_string_tab[981] +#define __pyx_n_u_TA_CDL3STARSINSOUTH_Clone __pyx_string_tab[982] +#define __pyx_n_u_TA_CDL3STARSINSOUTH_Open __pyx_string_tab[983] +#define __pyx_n_u_TA_CDL3STARSINSOUTH_OpenAndFill __pyx_string_tab[984] +#define __pyx_n_u_TA_CDL3STARSINSOUTH_Peek __pyx_string_tab[985] +#define __pyx_n_u_TA_CDL3STARSINSOUTH_Update __pyx_string_tab[986] +#define __pyx_n_u_TA_CDL3STARSINSOUTH_Value __pyx_string_tab[987] +#define __pyx_n_u_TA_CDL3WHITESOLDIERS __pyx_string_tab[988] +#define __pyx_n_u_TA_CDL3WHITESOLDIERS_Clone __pyx_string_tab[989] +#define __pyx_n_u_TA_CDL3WHITESOLDIERS_Open __pyx_string_tab[990] +#define __pyx_n_u_TA_CDL3WHITESOLDIERS_OpenAndFill __pyx_string_tab[991] +#define __pyx_n_u_TA_CDL3WHITESOLDIERS_Peek __pyx_string_tab[992] +#define __pyx_n_u_TA_CDL3WHITESOLDIERS_Update __pyx_string_tab[993] +#define __pyx_n_u_TA_CDL3WHITESOLDIERS_Value __pyx_string_tab[994] +#define __pyx_n_u_TA_CDLABANDONEDBABY __pyx_string_tab[995] +#define __pyx_n_u_TA_CDLABANDONEDBABY_Clone __pyx_string_tab[996] +#define __pyx_n_u_TA_CDLABANDONEDBABY_Open __pyx_string_tab[997] +#define __pyx_n_u_TA_CDLABANDONEDBABY_OpenAndFill __pyx_string_tab[998] +#define __pyx_n_u_TA_CDLABANDONEDBABY_Peek __pyx_string_tab[999] +#define __pyx_n_u_TA_CDLABANDONEDBABY_Update __pyx_string_tab[1000] +#define __pyx_n_u_TA_CDLABANDONEDBABY_Value __pyx_string_tab[1001] +#define __pyx_n_u_TA_CDLADVANCEBLOCK __pyx_string_tab[1002] +#define __pyx_n_u_TA_CDLADVANCEBLOCK_Clone __pyx_string_tab[1003] +#define __pyx_n_u_TA_CDLADVANCEBLOCK_Open __pyx_string_tab[1004] +#define __pyx_n_u_TA_CDLADVANCEBLOCK_OpenAndFill __pyx_string_tab[1005] +#define __pyx_n_u_TA_CDLADVANCEBLOCK_Peek __pyx_string_tab[1006] +#define __pyx_n_u_TA_CDLADVANCEBLOCK_Update __pyx_string_tab[1007] +#define __pyx_n_u_TA_CDLADVANCEBLOCK_Value __pyx_string_tab[1008] +#define __pyx_n_u_TA_CDLBELTHOLD __pyx_string_tab[1009] +#define __pyx_n_u_TA_CDLBELTHOLD_Clone __pyx_string_tab[1010] +#define __pyx_n_u_TA_CDLBELTHOLD_Open __pyx_string_tab[1011] +#define __pyx_n_u_TA_CDLBELTHOLD_OpenAndFill __pyx_string_tab[1012] +#define __pyx_n_u_TA_CDLBELTHOLD_Peek __pyx_string_tab[1013] +#define __pyx_n_u_TA_CDLBELTHOLD_Update __pyx_string_tab[1014] +#define __pyx_n_u_TA_CDLBELTHOLD_Value __pyx_string_tab[1015] +#define __pyx_n_u_TA_CDLBREAKAWAY __pyx_string_tab[1016] +#define __pyx_n_u_TA_CDLBREAKAWAY_Clone __pyx_string_tab[1017] +#define __pyx_n_u_TA_CDLBREAKAWAY_Open __pyx_string_tab[1018] +#define __pyx_n_u_TA_CDLBREAKAWAY_OpenAndFill __pyx_string_tab[1019] +#define __pyx_n_u_TA_CDLBREAKAWAY_Peek __pyx_string_tab[1020] +#define __pyx_n_u_TA_CDLBREAKAWAY_Update __pyx_string_tab[1021] +#define __pyx_n_u_TA_CDLBREAKAWAY_Value __pyx_string_tab[1022] +#define __pyx_n_u_TA_CDLCLOSINGMARUBOZU __pyx_string_tab[1023] +#define __pyx_n_u_TA_CDLCLOSINGMARUBOZU_Clone __pyx_string_tab[1024] +#define __pyx_n_u_TA_CDLCLOSINGMARUBOZU_Open __pyx_string_tab[1025] +#define __pyx_n_u_TA_CDLCLOSINGMARUBOZU_OpenAndFil __pyx_string_tab[1026] +#define __pyx_n_u_TA_CDLCLOSINGMARUBOZU_Peek __pyx_string_tab[1027] +#define __pyx_n_u_TA_CDLCLOSINGMARUBOZU_Update __pyx_string_tab[1028] +#define __pyx_n_u_TA_CDLCLOSINGMARUBOZU_Value __pyx_string_tab[1029] +#define __pyx_n_u_TA_CDLCONCEALBABYSWALL __pyx_string_tab[1030] +#define __pyx_n_u_TA_CDLCONCEALBABYSWALL_Clone __pyx_string_tab[1031] +#define __pyx_n_u_TA_CDLCONCEALBABYSWALL_Open __pyx_string_tab[1032] +#define __pyx_n_u_TA_CDLCONCEALBABYSWALL_OpenAndFi __pyx_string_tab[1033] +#define __pyx_n_u_TA_CDLCONCEALBABYSWALL_Peek __pyx_string_tab[1034] +#define __pyx_n_u_TA_CDLCONCEALBABYSWALL_Update __pyx_string_tab[1035] +#define __pyx_n_u_TA_CDLCONCEALBABYSWALL_Value __pyx_string_tab[1036] +#define __pyx_n_u_TA_CDLCOUNTERATTACK __pyx_string_tab[1037] +#define __pyx_n_u_TA_CDLCOUNTERATTACK_Clone __pyx_string_tab[1038] +#define __pyx_n_u_TA_CDLCOUNTERATTACK_Open __pyx_string_tab[1039] +#define __pyx_n_u_TA_CDLCOUNTERATTACK_OpenAndFill __pyx_string_tab[1040] +#define __pyx_n_u_TA_CDLCOUNTERATTACK_Peek __pyx_string_tab[1041] +#define __pyx_n_u_TA_CDLCOUNTERATTACK_Update __pyx_string_tab[1042] +#define __pyx_n_u_TA_CDLCOUNTERATTACK_Value __pyx_string_tab[1043] +#define __pyx_n_u_TA_CDLDARKCLOUDCOVER __pyx_string_tab[1044] +#define __pyx_n_u_TA_CDLDARKCLOUDCOVER_Clone __pyx_string_tab[1045] +#define __pyx_n_u_TA_CDLDARKCLOUDCOVER_Open __pyx_string_tab[1046] +#define __pyx_n_u_TA_CDLDARKCLOUDCOVER_OpenAndFill __pyx_string_tab[1047] +#define __pyx_n_u_TA_CDLDARKCLOUDCOVER_Peek __pyx_string_tab[1048] +#define __pyx_n_u_TA_CDLDARKCLOUDCOVER_Update __pyx_string_tab[1049] +#define __pyx_n_u_TA_CDLDARKCLOUDCOVER_Value __pyx_string_tab[1050] +#define __pyx_n_u_TA_CDLDOJI __pyx_string_tab[1051] +#define __pyx_n_u_TA_CDLDOJISTAR __pyx_string_tab[1052] +#define __pyx_n_u_TA_CDLDOJISTAR_Clone __pyx_string_tab[1053] +#define __pyx_n_u_TA_CDLDOJISTAR_Open __pyx_string_tab[1054] +#define __pyx_n_u_TA_CDLDOJISTAR_OpenAndFill __pyx_string_tab[1055] +#define __pyx_n_u_TA_CDLDOJISTAR_Peek __pyx_string_tab[1056] +#define __pyx_n_u_TA_CDLDOJISTAR_Update __pyx_string_tab[1057] +#define __pyx_n_u_TA_CDLDOJISTAR_Value __pyx_string_tab[1058] +#define __pyx_n_u_TA_CDLDOJI_Clone __pyx_string_tab[1059] +#define __pyx_n_u_TA_CDLDOJI_Open __pyx_string_tab[1060] +#define __pyx_n_u_TA_CDLDOJI_OpenAndFill __pyx_string_tab[1061] +#define __pyx_n_u_TA_CDLDOJI_Peek __pyx_string_tab[1062] +#define __pyx_n_u_TA_CDLDOJI_Update __pyx_string_tab[1063] +#define __pyx_n_u_TA_CDLDOJI_Value __pyx_string_tab[1064] +#define __pyx_n_u_TA_CDLDRAGONFLYDOJI __pyx_string_tab[1065] +#define __pyx_n_u_TA_CDLDRAGONFLYDOJI_Clone __pyx_string_tab[1066] +#define __pyx_n_u_TA_CDLDRAGONFLYDOJI_Open __pyx_string_tab[1067] +#define __pyx_n_u_TA_CDLDRAGONFLYDOJI_OpenAndFill __pyx_string_tab[1068] +#define __pyx_n_u_TA_CDLDRAGONFLYDOJI_Peek __pyx_string_tab[1069] +#define __pyx_n_u_TA_CDLDRAGONFLYDOJI_Update __pyx_string_tab[1070] +#define __pyx_n_u_TA_CDLDRAGONFLYDOJI_Value __pyx_string_tab[1071] +#define __pyx_n_u_TA_CDLENGULFING __pyx_string_tab[1072] +#define __pyx_n_u_TA_CDLENGULFING_Clone __pyx_string_tab[1073] +#define __pyx_n_u_TA_CDLENGULFING_Open __pyx_string_tab[1074] +#define __pyx_n_u_TA_CDLENGULFING_OpenAndFill __pyx_string_tab[1075] +#define __pyx_n_u_TA_CDLENGULFING_Peek __pyx_string_tab[1076] +#define __pyx_n_u_TA_CDLENGULFING_Update __pyx_string_tab[1077] +#define __pyx_n_u_TA_CDLENGULFING_Value __pyx_string_tab[1078] +#define __pyx_n_u_TA_CDLEVENINGDOJISTAR __pyx_string_tab[1079] +#define __pyx_n_u_TA_CDLEVENINGDOJISTAR_Clone __pyx_string_tab[1080] +#define __pyx_n_u_TA_CDLEVENINGDOJISTAR_Open __pyx_string_tab[1081] +#define __pyx_n_u_TA_CDLEVENINGDOJISTAR_OpenAndFil __pyx_string_tab[1082] +#define __pyx_n_u_TA_CDLEVENINGDOJISTAR_Peek __pyx_string_tab[1083] +#define __pyx_n_u_TA_CDLEVENINGDOJISTAR_Update __pyx_string_tab[1084] +#define __pyx_n_u_TA_CDLEVENINGDOJISTAR_Value __pyx_string_tab[1085] +#define __pyx_n_u_TA_CDLEVENINGSTAR __pyx_string_tab[1086] +#define __pyx_n_u_TA_CDLEVENINGSTAR_Clone __pyx_string_tab[1087] +#define __pyx_n_u_TA_CDLEVENINGSTAR_Open __pyx_string_tab[1088] +#define __pyx_n_u_TA_CDLEVENINGSTAR_OpenAndFill __pyx_string_tab[1089] +#define __pyx_n_u_TA_CDLEVENINGSTAR_Peek __pyx_string_tab[1090] +#define __pyx_n_u_TA_CDLEVENINGSTAR_Update __pyx_string_tab[1091] +#define __pyx_n_u_TA_CDLEVENINGSTAR_Value __pyx_string_tab[1092] +#define __pyx_n_u_TA_CDLGAPSIDESIDEWHITE __pyx_string_tab[1093] +#define __pyx_n_u_TA_CDLGAPSIDESIDEWHITE_Clone __pyx_string_tab[1094] +#define __pyx_n_u_TA_CDLGAPSIDESIDEWHITE_Open __pyx_string_tab[1095] +#define __pyx_n_u_TA_CDLGAPSIDESIDEWHITE_OpenAndFi __pyx_string_tab[1096] +#define __pyx_n_u_TA_CDLGAPSIDESIDEWHITE_Peek __pyx_string_tab[1097] +#define __pyx_n_u_TA_CDLGAPSIDESIDEWHITE_Update __pyx_string_tab[1098] +#define __pyx_n_u_TA_CDLGAPSIDESIDEWHITE_Value __pyx_string_tab[1099] +#define __pyx_n_u_TA_CDLGRAVESTONEDOJI __pyx_string_tab[1100] +#define __pyx_n_u_TA_CDLGRAVESTONEDOJI_Clone __pyx_string_tab[1101] +#define __pyx_n_u_TA_CDLGRAVESTONEDOJI_Open __pyx_string_tab[1102] +#define __pyx_n_u_TA_CDLGRAVESTONEDOJI_OpenAndFill __pyx_string_tab[1103] +#define __pyx_n_u_TA_CDLGRAVESTONEDOJI_Peek __pyx_string_tab[1104] +#define __pyx_n_u_TA_CDLGRAVESTONEDOJI_Update __pyx_string_tab[1105] +#define __pyx_n_u_TA_CDLGRAVESTONEDOJI_Value __pyx_string_tab[1106] +#define __pyx_n_u_TA_CDLHAMMER __pyx_string_tab[1107] +#define __pyx_n_u_TA_CDLHAMMER_Clone __pyx_string_tab[1108] +#define __pyx_n_u_TA_CDLHAMMER_Open __pyx_string_tab[1109] +#define __pyx_n_u_TA_CDLHAMMER_OpenAndFill __pyx_string_tab[1110] +#define __pyx_n_u_TA_CDLHAMMER_Peek __pyx_string_tab[1111] +#define __pyx_n_u_TA_CDLHAMMER_Update __pyx_string_tab[1112] +#define __pyx_n_u_TA_CDLHAMMER_Value __pyx_string_tab[1113] +#define __pyx_n_u_TA_CDLHANGINGMAN __pyx_string_tab[1114] +#define __pyx_n_u_TA_CDLHANGINGMAN_Clone __pyx_string_tab[1115] +#define __pyx_n_u_TA_CDLHANGINGMAN_Open __pyx_string_tab[1116] +#define __pyx_n_u_TA_CDLHANGINGMAN_OpenAndFill __pyx_string_tab[1117] +#define __pyx_n_u_TA_CDLHANGINGMAN_Peek __pyx_string_tab[1118] +#define __pyx_n_u_TA_CDLHANGINGMAN_Update __pyx_string_tab[1119] +#define __pyx_n_u_TA_CDLHANGINGMAN_Value __pyx_string_tab[1120] +#define __pyx_n_u_TA_CDLHARAMI __pyx_string_tab[1121] +#define __pyx_n_u_TA_CDLHARAMICROSS __pyx_string_tab[1122] +#define __pyx_n_u_TA_CDLHARAMICROSS_Clone __pyx_string_tab[1123] +#define __pyx_n_u_TA_CDLHARAMICROSS_Open __pyx_string_tab[1124] +#define __pyx_n_u_TA_CDLHARAMICROSS_OpenAndFill __pyx_string_tab[1125] +#define __pyx_n_u_TA_CDLHARAMICROSS_Peek __pyx_string_tab[1126] +#define __pyx_n_u_TA_CDLHARAMICROSS_Update __pyx_string_tab[1127] +#define __pyx_n_u_TA_CDLHARAMICROSS_Value __pyx_string_tab[1128] +#define __pyx_n_u_TA_CDLHARAMI_Clone __pyx_string_tab[1129] +#define __pyx_n_u_TA_CDLHARAMI_Open __pyx_string_tab[1130] +#define __pyx_n_u_TA_CDLHARAMI_OpenAndFill __pyx_string_tab[1131] +#define __pyx_n_u_TA_CDLHARAMI_Peek __pyx_string_tab[1132] +#define __pyx_n_u_TA_CDLHARAMI_Update __pyx_string_tab[1133] +#define __pyx_n_u_TA_CDLHARAMI_Value __pyx_string_tab[1134] +#define __pyx_n_u_TA_CDLHIGHWAVE __pyx_string_tab[1135] +#define __pyx_n_u_TA_CDLHIGHWAVE_Clone __pyx_string_tab[1136] +#define __pyx_n_u_TA_CDLHIGHWAVE_Open __pyx_string_tab[1137] +#define __pyx_n_u_TA_CDLHIGHWAVE_OpenAndFill __pyx_string_tab[1138] +#define __pyx_n_u_TA_CDLHIGHWAVE_Peek __pyx_string_tab[1139] +#define __pyx_n_u_TA_CDLHIGHWAVE_Update __pyx_string_tab[1140] +#define __pyx_n_u_TA_CDLHIGHWAVE_Value __pyx_string_tab[1141] +#define __pyx_n_u_TA_CDLHIKKAKE __pyx_string_tab[1142] +#define __pyx_n_u_TA_CDLHIKKAKEMOD __pyx_string_tab[1143] +#define __pyx_n_u_TA_CDLHIKKAKEMOD_Clone __pyx_string_tab[1144] +#define __pyx_n_u_TA_CDLHIKKAKEMOD_Open __pyx_string_tab[1145] +#define __pyx_n_u_TA_CDLHIKKAKEMOD_OpenAndFill __pyx_string_tab[1146] +#define __pyx_n_u_TA_CDLHIKKAKEMOD_Peek __pyx_string_tab[1147] +#define __pyx_n_u_TA_CDLHIKKAKEMOD_Update __pyx_string_tab[1148] +#define __pyx_n_u_TA_CDLHIKKAKEMOD_Value __pyx_string_tab[1149] +#define __pyx_n_u_TA_CDLHIKKAKE_Clone __pyx_string_tab[1150] +#define __pyx_n_u_TA_CDLHIKKAKE_Open __pyx_string_tab[1151] +#define __pyx_n_u_TA_CDLHIKKAKE_OpenAndFill __pyx_string_tab[1152] +#define __pyx_n_u_TA_CDLHIKKAKE_Peek __pyx_string_tab[1153] +#define __pyx_n_u_TA_CDLHIKKAKE_Update __pyx_string_tab[1154] +#define __pyx_n_u_TA_CDLHIKKAKE_Value __pyx_string_tab[1155] +#define __pyx_n_u_TA_CDLHOMINGPIGEON __pyx_string_tab[1156] +#define __pyx_n_u_TA_CDLHOMINGPIGEON_Clone __pyx_string_tab[1157] +#define __pyx_n_u_TA_CDLHOMINGPIGEON_Open __pyx_string_tab[1158] +#define __pyx_n_u_TA_CDLHOMINGPIGEON_OpenAndFill __pyx_string_tab[1159] +#define __pyx_n_u_TA_CDLHOMINGPIGEON_Peek __pyx_string_tab[1160] +#define __pyx_n_u_TA_CDLHOMINGPIGEON_Update __pyx_string_tab[1161] +#define __pyx_n_u_TA_CDLHOMINGPIGEON_Value __pyx_string_tab[1162] +#define __pyx_n_u_TA_CDLIDENTICAL3CROWS __pyx_string_tab[1163] +#define __pyx_n_u_TA_CDLIDENTICAL3CROWS_Clone __pyx_string_tab[1164] +#define __pyx_n_u_TA_CDLIDENTICAL3CROWS_Open __pyx_string_tab[1165] +#define __pyx_n_u_TA_CDLIDENTICAL3CROWS_OpenAndFil __pyx_string_tab[1166] +#define __pyx_n_u_TA_CDLIDENTICAL3CROWS_Peek __pyx_string_tab[1167] +#define __pyx_n_u_TA_CDLIDENTICAL3CROWS_Update __pyx_string_tab[1168] +#define __pyx_n_u_TA_CDLIDENTICAL3CROWS_Value __pyx_string_tab[1169] +#define __pyx_n_u_TA_CDLINNECK __pyx_string_tab[1170] +#define __pyx_n_u_TA_CDLINNECK_Clone __pyx_string_tab[1171] +#define __pyx_n_u_TA_CDLINNECK_Open __pyx_string_tab[1172] +#define __pyx_n_u_TA_CDLINNECK_OpenAndFill __pyx_string_tab[1173] +#define __pyx_n_u_TA_CDLINNECK_Peek __pyx_string_tab[1174] +#define __pyx_n_u_TA_CDLINNECK_Update __pyx_string_tab[1175] +#define __pyx_n_u_TA_CDLINNECK_Value __pyx_string_tab[1176] +#define __pyx_n_u_TA_CDLINVERTEDHAMMER __pyx_string_tab[1177] +#define __pyx_n_u_TA_CDLINVERTEDHAMMER_Clone __pyx_string_tab[1178] +#define __pyx_n_u_TA_CDLINVERTEDHAMMER_Open __pyx_string_tab[1179] +#define __pyx_n_u_TA_CDLINVERTEDHAMMER_OpenAndFill __pyx_string_tab[1180] +#define __pyx_n_u_TA_CDLINVERTEDHAMMER_Peek __pyx_string_tab[1181] +#define __pyx_n_u_TA_CDLINVERTEDHAMMER_Update __pyx_string_tab[1182] +#define __pyx_n_u_TA_CDLINVERTEDHAMMER_Value __pyx_string_tab[1183] +#define __pyx_n_u_TA_CDLKICKING __pyx_string_tab[1184] +#define __pyx_n_u_TA_CDLKICKINGBYLENGTH __pyx_string_tab[1185] +#define __pyx_n_u_TA_CDLKICKINGBYLENGTH_Clone __pyx_string_tab[1186] +#define __pyx_n_u_TA_CDLKICKINGBYLENGTH_Open __pyx_string_tab[1187] +#define __pyx_n_u_TA_CDLKICKINGBYLENGTH_OpenAndFil __pyx_string_tab[1188] +#define __pyx_n_u_TA_CDLKICKINGBYLENGTH_Peek __pyx_string_tab[1189] +#define __pyx_n_u_TA_CDLKICKINGBYLENGTH_Update __pyx_string_tab[1190] +#define __pyx_n_u_TA_CDLKICKINGBYLENGTH_Value __pyx_string_tab[1191] +#define __pyx_n_u_TA_CDLKICKING_Clone __pyx_string_tab[1192] +#define __pyx_n_u_TA_CDLKICKING_Open __pyx_string_tab[1193] +#define __pyx_n_u_TA_CDLKICKING_OpenAndFill __pyx_string_tab[1194] +#define __pyx_n_u_TA_CDLKICKING_Peek __pyx_string_tab[1195] +#define __pyx_n_u_TA_CDLKICKING_Update __pyx_string_tab[1196] +#define __pyx_n_u_TA_CDLKICKING_Value __pyx_string_tab[1197] +#define __pyx_n_u_TA_CDLLADDERBOTTOM __pyx_string_tab[1198] +#define __pyx_n_u_TA_CDLLADDERBOTTOM_Clone __pyx_string_tab[1199] +#define __pyx_n_u_TA_CDLLADDERBOTTOM_Open __pyx_string_tab[1200] +#define __pyx_n_u_TA_CDLLADDERBOTTOM_OpenAndFill __pyx_string_tab[1201] +#define __pyx_n_u_TA_CDLLADDERBOTTOM_Peek __pyx_string_tab[1202] +#define __pyx_n_u_TA_CDLLADDERBOTTOM_Update __pyx_string_tab[1203] +#define __pyx_n_u_TA_CDLLADDERBOTTOM_Value __pyx_string_tab[1204] +#define __pyx_n_u_TA_CDLLONGLEGGEDDOJI __pyx_string_tab[1205] +#define __pyx_n_u_TA_CDLLONGLEGGEDDOJI_Clone __pyx_string_tab[1206] +#define __pyx_n_u_TA_CDLLONGLEGGEDDOJI_Open __pyx_string_tab[1207] +#define __pyx_n_u_TA_CDLLONGLEGGEDDOJI_OpenAndFill __pyx_string_tab[1208] +#define __pyx_n_u_TA_CDLLONGLEGGEDDOJI_Peek __pyx_string_tab[1209] +#define __pyx_n_u_TA_CDLLONGLEGGEDDOJI_Update __pyx_string_tab[1210] +#define __pyx_n_u_TA_CDLLONGLEGGEDDOJI_Value __pyx_string_tab[1211] +#define __pyx_n_u_TA_CDLLONGLINE __pyx_string_tab[1212] +#define __pyx_n_u_TA_CDLLONGLINE_Clone __pyx_string_tab[1213] +#define __pyx_n_u_TA_CDLLONGLINE_Open __pyx_string_tab[1214] +#define __pyx_n_u_TA_CDLLONGLINE_OpenAndFill __pyx_string_tab[1215] +#define __pyx_n_u_TA_CDLLONGLINE_Peek __pyx_string_tab[1216] +#define __pyx_n_u_TA_CDLLONGLINE_Update __pyx_string_tab[1217] +#define __pyx_n_u_TA_CDLLONGLINE_Value __pyx_string_tab[1218] +#define __pyx_n_u_TA_CDLMARUBOZU __pyx_string_tab[1219] +#define __pyx_n_u_TA_CDLMARUBOZU_Clone __pyx_string_tab[1220] +#define __pyx_n_u_TA_CDLMARUBOZU_Open __pyx_string_tab[1221] +#define __pyx_n_u_TA_CDLMARUBOZU_OpenAndFill __pyx_string_tab[1222] +#define __pyx_n_u_TA_CDLMARUBOZU_Peek __pyx_string_tab[1223] +#define __pyx_n_u_TA_CDLMARUBOZU_Update __pyx_string_tab[1224] +#define __pyx_n_u_TA_CDLMARUBOZU_Value __pyx_string_tab[1225] +#define __pyx_n_u_TA_CDLMATCHINGLOW __pyx_string_tab[1226] +#define __pyx_n_u_TA_CDLMATCHINGLOW_Clone __pyx_string_tab[1227] +#define __pyx_n_u_TA_CDLMATCHINGLOW_Open __pyx_string_tab[1228] +#define __pyx_n_u_TA_CDLMATCHINGLOW_OpenAndFill __pyx_string_tab[1229] +#define __pyx_n_u_TA_CDLMATCHINGLOW_Peek __pyx_string_tab[1230] +#define __pyx_n_u_TA_CDLMATCHINGLOW_Update __pyx_string_tab[1231] +#define __pyx_n_u_TA_CDLMATCHINGLOW_Value __pyx_string_tab[1232] +#define __pyx_n_u_TA_CDLMATHOLD __pyx_string_tab[1233] +#define __pyx_n_u_TA_CDLMATHOLD_Clone __pyx_string_tab[1234] +#define __pyx_n_u_TA_CDLMATHOLD_Open __pyx_string_tab[1235] +#define __pyx_n_u_TA_CDLMATHOLD_OpenAndFill __pyx_string_tab[1236] +#define __pyx_n_u_TA_CDLMATHOLD_Peek __pyx_string_tab[1237] +#define __pyx_n_u_TA_CDLMATHOLD_Update __pyx_string_tab[1238] +#define __pyx_n_u_TA_CDLMATHOLD_Value __pyx_string_tab[1239] +#define __pyx_n_u_TA_CDLMORNINGDOJISTAR __pyx_string_tab[1240] +#define __pyx_n_u_TA_CDLMORNINGDOJISTAR_Clone __pyx_string_tab[1241] +#define __pyx_n_u_TA_CDLMORNINGDOJISTAR_Open __pyx_string_tab[1242] +#define __pyx_n_u_TA_CDLMORNINGDOJISTAR_OpenAndFil __pyx_string_tab[1243] +#define __pyx_n_u_TA_CDLMORNINGDOJISTAR_Peek __pyx_string_tab[1244] +#define __pyx_n_u_TA_CDLMORNINGDOJISTAR_Update __pyx_string_tab[1245] +#define __pyx_n_u_TA_CDLMORNINGDOJISTAR_Value __pyx_string_tab[1246] +#define __pyx_n_u_TA_CDLMORNINGSTAR __pyx_string_tab[1247] +#define __pyx_n_u_TA_CDLMORNINGSTAR_Clone __pyx_string_tab[1248] +#define __pyx_n_u_TA_CDLMORNINGSTAR_Open __pyx_string_tab[1249] +#define __pyx_n_u_TA_CDLMORNINGSTAR_OpenAndFill __pyx_string_tab[1250] +#define __pyx_n_u_TA_CDLMORNINGSTAR_Peek __pyx_string_tab[1251] +#define __pyx_n_u_TA_CDLMORNINGSTAR_Update __pyx_string_tab[1252] +#define __pyx_n_u_TA_CDLMORNINGSTAR_Value __pyx_string_tab[1253] +#define __pyx_n_u_TA_CDLONNECK __pyx_string_tab[1254] +#define __pyx_n_u_TA_CDLONNECK_Clone __pyx_string_tab[1255] +#define __pyx_n_u_TA_CDLONNECK_Open __pyx_string_tab[1256] +#define __pyx_n_u_TA_CDLONNECK_OpenAndFill __pyx_string_tab[1257] +#define __pyx_n_u_TA_CDLONNECK_Peek __pyx_string_tab[1258] +#define __pyx_n_u_TA_CDLONNECK_Update __pyx_string_tab[1259] +#define __pyx_n_u_TA_CDLONNECK_Value __pyx_string_tab[1260] +#define __pyx_n_u_TA_CDLPIERCING __pyx_string_tab[1261] +#define __pyx_n_u_TA_CDLPIERCING_Clone __pyx_string_tab[1262] +#define __pyx_n_u_TA_CDLPIERCING_Open __pyx_string_tab[1263] +#define __pyx_n_u_TA_CDLPIERCING_OpenAndFill __pyx_string_tab[1264] +#define __pyx_n_u_TA_CDLPIERCING_Peek __pyx_string_tab[1265] +#define __pyx_n_u_TA_CDLPIERCING_Update __pyx_string_tab[1266] +#define __pyx_n_u_TA_CDLPIERCING_Value __pyx_string_tab[1267] +#define __pyx_n_u_TA_CDLRICKSHAWMAN __pyx_string_tab[1268] +#define __pyx_n_u_TA_CDLRICKSHAWMAN_Clone __pyx_string_tab[1269] +#define __pyx_n_u_TA_CDLRICKSHAWMAN_Open __pyx_string_tab[1270] +#define __pyx_n_u_TA_CDLRICKSHAWMAN_OpenAndFill __pyx_string_tab[1271] +#define __pyx_n_u_TA_CDLRICKSHAWMAN_Peek __pyx_string_tab[1272] +#define __pyx_n_u_TA_CDLRICKSHAWMAN_Update __pyx_string_tab[1273] +#define __pyx_n_u_TA_CDLRICKSHAWMAN_Value __pyx_string_tab[1274] +#define __pyx_n_u_TA_CDLRISEFALL3METHODS __pyx_string_tab[1275] +#define __pyx_n_u_TA_CDLRISEFALL3METHODS_Clone __pyx_string_tab[1276] +#define __pyx_n_u_TA_CDLRISEFALL3METHODS_Open __pyx_string_tab[1277] +#define __pyx_n_u_TA_CDLRISEFALL3METHODS_OpenAndFi __pyx_string_tab[1278] +#define __pyx_n_u_TA_CDLRISEFALL3METHODS_Peek __pyx_string_tab[1279] +#define __pyx_n_u_TA_CDLRISEFALL3METHODS_Update __pyx_string_tab[1280] +#define __pyx_n_u_TA_CDLRISEFALL3METHODS_Value __pyx_string_tab[1281] +#define __pyx_n_u_TA_CDLSEPARATINGLINES __pyx_string_tab[1282] +#define __pyx_n_u_TA_CDLSEPARATINGLINES_Clone __pyx_string_tab[1283] +#define __pyx_n_u_TA_CDLSEPARATINGLINES_Open __pyx_string_tab[1284] +#define __pyx_n_u_TA_CDLSEPARATINGLINES_OpenAndFil __pyx_string_tab[1285] +#define __pyx_n_u_TA_CDLSEPARATINGLINES_Peek __pyx_string_tab[1286] +#define __pyx_n_u_TA_CDLSEPARATINGLINES_Update __pyx_string_tab[1287] +#define __pyx_n_u_TA_CDLSEPARATINGLINES_Value __pyx_string_tab[1288] +#define __pyx_n_u_TA_CDLSHOOTINGSTAR __pyx_string_tab[1289] +#define __pyx_n_u_TA_CDLSHOOTINGSTAR_Clone __pyx_string_tab[1290] +#define __pyx_n_u_TA_CDLSHOOTINGSTAR_Open __pyx_string_tab[1291] +#define __pyx_n_u_TA_CDLSHOOTINGSTAR_OpenAndFill __pyx_string_tab[1292] +#define __pyx_n_u_TA_CDLSHOOTINGSTAR_Peek __pyx_string_tab[1293] +#define __pyx_n_u_TA_CDLSHOOTINGSTAR_Update __pyx_string_tab[1294] +#define __pyx_n_u_TA_CDLSHOOTINGSTAR_Value __pyx_string_tab[1295] +#define __pyx_n_u_TA_CDLSHORTLINE __pyx_string_tab[1296] +#define __pyx_n_u_TA_CDLSHORTLINE_Clone __pyx_string_tab[1297] +#define __pyx_n_u_TA_CDLSHORTLINE_Open __pyx_string_tab[1298] +#define __pyx_n_u_TA_CDLSHORTLINE_OpenAndFill __pyx_string_tab[1299] +#define __pyx_n_u_TA_CDLSHORTLINE_Peek __pyx_string_tab[1300] +#define __pyx_n_u_TA_CDLSHORTLINE_Update __pyx_string_tab[1301] +#define __pyx_n_u_TA_CDLSHORTLINE_Value __pyx_string_tab[1302] +#define __pyx_n_u_TA_CDLSPINNINGTOP __pyx_string_tab[1303] +#define __pyx_n_u_TA_CDLSPINNINGTOP_Clone __pyx_string_tab[1304] +#define __pyx_n_u_TA_CDLSPINNINGTOP_Open __pyx_string_tab[1305] +#define __pyx_n_u_TA_CDLSPINNINGTOP_OpenAndFill __pyx_string_tab[1306] +#define __pyx_n_u_TA_CDLSPINNINGTOP_Peek __pyx_string_tab[1307] +#define __pyx_n_u_TA_CDLSPINNINGTOP_Update __pyx_string_tab[1308] +#define __pyx_n_u_TA_CDLSPINNINGTOP_Value __pyx_string_tab[1309] +#define __pyx_n_u_TA_CDLSTALLEDPATTERN __pyx_string_tab[1310] +#define __pyx_n_u_TA_CDLSTALLEDPATTERN_Clone __pyx_string_tab[1311] +#define __pyx_n_u_TA_CDLSTALLEDPATTERN_Open __pyx_string_tab[1312] +#define __pyx_n_u_TA_CDLSTALLEDPATTERN_OpenAndFill __pyx_string_tab[1313] +#define __pyx_n_u_TA_CDLSTALLEDPATTERN_Peek __pyx_string_tab[1314] +#define __pyx_n_u_TA_CDLSTALLEDPATTERN_Update __pyx_string_tab[1315] +#define __pyx_n_u_TA_CDLSTALLEDPATTERN_Value __pyx_string_tab[1316] +#define __pyx_n_u_TA_CDLSTICKSANDWICH __pyx_string_tab[1317] +#define __pyx_n_u_TA_CDLSTICKSANDWICH_Clone __pyx_string_tab[1318] +#define __pyx_n_u_TA_CDLSTICKSANDWICH_Open __pyx_string_tab[1319] +#define __pyx_n_u_TA_CDLSTICKSANDWICH_OpenAndFill __pyx_string_tab[1320] +#define __pyx_n_u_TA_CDLSTICKSANDWICH_Peek __pyx_string_tab[1321] +#define __pyx_n_u_TA_CDLSTICKSANDWICH_Update __pyx_string_tab[1322] +#define __pyx_n_u_TA_CDLSTICKSANDWICH_Value __pyx_string_tab[1323] +#define __pyx_n_u_TA_CDLTAKURI __pyx_string_tab[1324] +#define __pyx_n_u_TA_CDLTAKURI_Clone __pyx_string_tab[1325] +#define __pyx_n_u_TA_CDLTAKURI_Open __pyx_string_tab[1326] +#define __pyx_n_u_TA_CDLTAKURI_OpenAndFill __pyx_string_tab[1327] +#define __pyx_n_u_TA_CDLTAKURI_Peek __pyx_string_tab[1328] +#define __pyx_n_u_TA_CDLTAKURI_Update __pyx_string_tab[1329] +#define __pyx_n_u_TA_CDLTAKURI_Value __pyx_string_tab[1330] +#define __pyx_n_u_TA_CDLTASUKIGAP __pyx_string_tab[1331] +#define __pyx_n_u_TA_CDLTASUKIGAP_Clone __pyx_string_tab[1332] +#define __pyx_n_u_TA_CDLTASUKIGAP_Open __pyx_string_tab[1333] +#define __pyx_n_u_TA_CDLTASUKIGAP_OpenAndFill __pyx_string_tab[1334] +#define __pyx_n_u_TA_CDLTASUKIGAP_Peek __pyx_string_tab[1335] +#define __pyx_n_u_TA_CDLTASUKIGAP_Update __pyx_string_tab[1336] +#define __pyx_n_u_TA_CDLTASUKIGAP_Value __pyx_string_tab[1337] +#define __pyx_n_u_TA_CDLTHRUSTING __pyx_string_tab[1338] +#define __pyx_n_u_TA_CDLTHRUSTING_Clone __pyx_string_tab[1339] +#define __pyx_n_u_TA_CDLTHRUSTING_Open __pyx_string_tab[1340] +#define __pyx_n_u_TA_CDLTHRUSTING_OpenAndFill __pyx_string_tab[1341] +#define __pyx_n_u_TA_CDLTHRUSTING_Peek __pyx_string_tab[1342] +#define __pyx_n_u_TA_CDLTHRUSTING_Update __pyx_string_tab[1343] +#define __pyx_n_u_TA_CDLTHRUSTING_Value __pyx_string_tab[1344] +#define __pyx_n_u_TA_CDLTRISTAR __pyx_string_tab[1345] +#define __pyx_n_u_TA_CDLTRISTAR_Clone __pyx_string_tab[1346] +#define __pyx_n_u_TA_CDLTRISTAR_Open __pyx_string_tab[1347] +#define __pyx_n_u_TA_CDLTRISTAR_OpenAndFill __pyx_string_tab[1348] +#define __pyx_n_u_TA_CDLTRISTAR_Peek __pyx_string_tab[1349] +#define __pyx_n_u_TA_CDLTRISTAR_Update __pyx_string_tab[1350] +#define __pyx_n_u_TA_CDLTRISTAR_Value __pyx_string_tab[1351] +#define __pyx_n_u_TA_CDLUNIQUE3RIVER __pyx_string_tab[1352] +#define __pyx_n_u_TA_CDLUNIQUE3RIVER_Clone __pyx_string_tab[1353] +#define __pyx_n_u_TA_CDLUNIQUE3RIVER_Open __pyx_string_tab[1354] +#define __pyx_n_u_TA_CDLUNIQUE3RIVER_OpenAndFill __pyx_string_tab[1355] +#define __pyx_n_u_TA_CDLUNIQUE3RIVER_Peek __pyx_string_tab[1356] +#define __pyx_n_u_TA_CDLUNIQUE3RIVER_Update __pyx_string_tab[1357] +#define __pyx_n_u_TA_CDLUNIQUE3RIVER_Value __pyx_string_tab[1358] +#define __pyx_n_u_TA_CDLUPSIDEGAP2CROWS __pyx_string_tab[1359] +#define __pyx_n_u_TA_CDLUPSIDEGAP2CROWS_Clone __pyx_string_tab[1360] +#define __pyx_n_u_TA_CDLUPSIDEGAP2CROWS_Open __pyx_string_tab[1361] +#define __pyx_n_u_TA_CDLUPSIDEGAP2CROWS_OpenAndFil __pyx_string_tab[1362] +#define __pyx_n_u_TA_CDLUPSIDEGAP2CROWS_Peek __pyx_string_tab[1363] +#define __pyx_n_u_TA_CDLUPSIDEGAP2CROWS_Update __pyx_string_tab[1364] +#define __pyx_n_u_TA_CDLUPSIDEGAP2CROWS_Value __pyx_string_tab[1365] +#define __pyx_n_u_TA_CDLXSIDEGAP3METHODS __pyx_string_tab[1366] +#define __pyx_n_u_TA_CDLXSIDEGAP3METHODS_Clone __pyx_string_tab[1367] +#define __pyx_n_u_TA_CDLXSIDEGAP3METHODS_Open __pyx_string_tab[1368] +#define __pyx_n_u_TA_CDLXSIDEGAP3METHODS_OpenAndFi __pyx_string_tab[1369] +#define __pyx_n_u_TA_CDLXSIDEGAP3METHODS_Peek __pyx_string_tab[1370] +#define __pyx_n_u_TA_CDLXSIDEGAP3METHODS_Update __pyx_string_tab[1371] +#define __pyx_n_u_TA_CDLXSIDEGAP3METHODS_Value __pyx_string_tab[1372] +#define __pyx_n_u_TA_CEIL __pyx_string_tab[1373] +#define __pyx_n_u_TA_CEIL_Clone __pyx_string_tab[1374] +#define __pyx_n_u_TA_CEIL_Open __pyx_string_tab[1375] +#define __pyx_n_u_TA_CEIL_OpenAndFill __pyx_string_tab[1376] +#define __pyx_n_u_TA_CEIL_Peek __pyx_string_tab[1377] +#define __pyx_n_u_TA_CEIL_Update __pyx_string_tab[1378] +#define __pyx_n_u_TA_CEIL_Value __pyx_string_tab[1379] +#define __pyx_n_u_TA_CMF __pyx_string_tab[1380] +#define __pyx_n_u_TA_CMF_Clone __pyx_string_tab[1381] +#define __pyx_n_u_TA_CMF_Open __pyx_string_tab[1382] +#define __pyx_n_u_TA_CMF_OpenAndFill __pyx_string_tab[1383] +#define __pyx_n_u_TA_CMF_Peek __pyx_string_tab[1384] +#define __pyx_n_u_TA_CMF_Update __pyx_string_tab[1385] +#define __pyx_n_u_TA_CMF_Value __pyx_string_tab[1386] +#define __pyx_n_u_TA_CMO __pyx_string_tab[1387] +#define __pyx_n_u_TA_CMOU __pyx_string_tab[1388] +#define __pyx_n_u_TA_CMOU_Clone __pyx_string_tab[1389] +#define __pyx_n_u_TA_CMOU_Open __pyx_string_tab[1390] +#define __pyx_n_u_TA_CMOU_OpenAndFill __pyx_string_tab[1391] +#define __pyx_n_u_TA_CMOU_Peek __pyx_string_tab[1392] +#define __pyx_n_u_TA_CMOU_Update __pyx_string_tab[1393] +#define __pyx_n_u_TA_CMOU_Value __pyx_string_tab[1394] +#define __pyx_n_u_TA_CMO_Clone __pyx_string_tab[1395] +#define __pyx_n_u_TA_CMO_Open __pyx_string_tab[1396] +#define __pyx_n_u_TA_CMO_OpenAndFill __pyx_string_tab[1397] +#define __pyx_n_u_TA_CMO_Peek __pyx_string_tab[1398] +#define __pyx_n_u_TA_CMO_Update __pyx_string_tab[1399] +#define __pyx_n_u_TA_CMO_Value __pyx_string_tab[1400] +#define __pyx_n_u_TA_COPPOCK __pyx_string_tab[1401] +#define __pyx_n_u_TA_COPPOCK_Clone __pyx_string_tab[1402] +#define __pyx_n_u_TA_COPPOCK_Open __pyx_string_tab[1403] +#define __pyx_n_u_TA_COPPOCK_OpenAndFill __pyx_string_tab[1404] +#define __pyx_n_u_TA_COPPOCK_Peek __pyx_string_tab[1405] +#define __pyx_n_u_TA_COPPOCK_Update __pyx_string_tab[1406] +#define __pyx_n_u_TA_COPPOCK_Value __pyx_string_tab[1407] +#define __pyx_n_u_TA_CORREL __pyx_string_tab[1408] +#define __pyx_n_u_TA_CORREL_Clone __pyx_string_tab[1409] +#define __pyx_n_u_TA_CORREL_Open __pyx_string_tab[1410] +#define __pyx_n_u_TA_CORREL_OpenAndFill __pyx_string_tab[1411] +#define __pyx_n_u_TA_CORREL_Peek __pyx_string_tab[1412] +#define __pyx_n_u_TA_CORREL_Update __pyx_string_tab[1413] +#define __pyx_n_u_TA_CORREL_Value __pyx_string_tab[1414] +#define __pyx_n_u_TA_COS __pyx_string_tab[1415] +#define __pyx_n_u_TA_COSH __pyx_string_tab[1416] +#define __pyx_n_u_TA_COSH_Clone __pyx_string_tab[1417] +#define __pyx_n_u_TA_COSH_Open __pyx_string_tab[1418] +#define __pyx_n_u_TA_COSH_OpenAndFill __pyx_string_tab[1419] +#define __pyx_n_u_TA_COSH_Peek __pyx_string_tab[1420] +#define __pyx_n_u_TA_COSH_Update __pyx_string_tab[1421] +#define __pyx_n_u_TA_COSH_Value __pyx_string_tab[1422] +#define __pyx_n_u_TA_COS_Clone __pyx_string_tab[1423] +#define __pyx_n_u_TA_COS_Open __pyx_string_tab[1424] +#define __pyx_n_u_TA_COS_OpenAndFill __pyx_string_tab[1425] +#define __pyx_n_u_TA_COS_Peek __pyx_string_tab[1426] +#define __pyx_n_u_TA_COS_Update __pyx_string_tab[1427] +#define __pyx_n_u_TA_COS_Value __pyx_string_tab[1428] +#define __pyx_n_u_TA_CUMSUM __pyx_string_tab[1429] +#define __pyx_n_u_TA_CUMSUM_Clone __pyx_string_tab[1430] +#define __pyx_n_u_TA_CUMSUM_Open __pyx_string_tab[1431] +#define __pyx_n_u_TA_CUMSUM_OpenAndFill __pyx_string_tab[1432] +#define __pyx_n_u_TA_CUMSUM_Peek __pyx_string_tab[1433] +#define __pyx_n_u_TA_CUMSUM_Update __pyx_string_tab[1434] +#define __pyx_n_u_TA_CUMSUM_Value __pyx_string_tab[1435] +#define __pyx_n_u_TA_CVI __pyx_string_tab[1436] +#define __pyx_n_u_TA_CVI_Clone __pyx_string_tab[1437] +#define __pyx_n_u_TA_CVI_Open __pyx_string_tab[1438] +#define __pyx_n_u_TA_CVI_OpenAndFill __pyx_string_tab[1439] +#define __pyx_n_u_TA_CVI_Peek __pyx_string_tab[1440] +#define __pyx_n_u_TA_CVI_Update __pyx_string_tab[1441] +#define __pyx_n_u_TA_CVI_Value __pyx_string_tab[1442] +#define __pyx_n_u_TA_DEMA __pyx_string_tab[1443] +#define __pyx_n_u_TA_DEMA_Clone __pyx_string_tab[1444] +#define __pyx_n_u_TA_DEMA_Open __pyx_string_tab[1445] +#define __pyx_n_u_TA_DEMA_OpenAndFill __pyx_string_tab[1446] +#define __pyx_n_u_TA_DEMA_Peek __pyx_string_tab[1447] +#define __pyx_n_u_TA_DEMA_Update __pyx_string_tab[1448] +#define __pyx_n_u_TA_DEMA_Value __pyx_string_tab[1449] +#define __pyx_n_u_TA_DIV __pyx_string_tab[1450] +#define __pyx_n_u_TA_DIV_Clone __pyx_string_tab[1451] +#define __pyx_n_u_TA_DIV_Open __pyx_string_tab[1452] +#define __pyx_n_u_TA_DIV_OpenAndFill __pyx_string_tab[1453] +#define __pyx_n_u_TA_DIV_Peek __pyx_string_tab[1454] +#define __pyx_n_u_TA_DIV_Update __pyx_string_tab[1455] +#define __pyx_n_u_TA_DIV_Value __pyx_string_tab[1456] +#define __pyx_n_u_TA_DONCHIAN __pyx_string_tab[1457] +#define __pyx_n_u_TA_DONCHIAN_Clone __pyx_string_tab[1458] +#define __pyx_n_u_TA_DONCHIAN_Open __pyx_string_tab[1459] +#define __pyx_n_u_TA_DONCHIAN_OpenAndFill __pyx_string_tab[1460] +#define __pyx_n_u_TA_DONCHIAN_Peek __pyx_string_tab[1461] +#define __pyx_n_u_TA_DONCHIAN_Update __pyx_string_tab[1462] +#define __pyx_n_u_TA_DONCHIAN_Value __pyx_string_tab[1463] +#define __pyx_n_u_TA_DPO __pyx_string_tab[1464] +#define __pyx_n_u_TA_DPO_Clone __pyx_string_tab[1465] +#define __pyx_n_u_TA_DPO_Open __pyx_string_tab[1466] +#define __pyx_n_u_TA_DPO_OpenAndFill __pyx_string_tab[1467] +#define __pyx_n_u_TA_DPO_Peek __pyx_string_tab[1468] +#define __pyx_n_u_TA_DPO_Update __pyx_string_tab[1469] +#define __pyx_n_u_TA_DPO_Value __pyx_string_tab[1470] +#define __pyx_n_u_TA_DX __pyx_string_tab[1471] +#define __pyx_n_u_TA_DX_Clone __pyx_string_tab[1472] +#define __pyx_n_u_TA_DX_Open __pyx_string_tab[1473] +#define __pyx_n_u_TA_DX_OpenAndFill __pyx_string_tab[1474] +#define __pyx_n_u_TA_DX_Peek __pyx_string_tab[1475] +#define __pyx_n_u_TA_DX_Update __pyx_string_tab[1476] +#define __pyx_n_u_TA_DX_Value __pyx_string_tab[1477] +#define __pyx_n_u_TA_EFI __pyx_string_tab[1478] +#define __pyx_n_u_TA_EFI_Clone __pyx_string_tab[1479] +#define __pyx_n_u_TA_EFI_Open __pyx_string_tab[1480] +#define __pyx_n_u_TA_EFI_OpenAndFill __pyx_string_tab[1481] +#define __pyx_n_u_TA_EFI_Peek __pyx_string_tab[1482] +#define __pyx_n_u_TA_EFI_Update __pyx_string_tab[1483] +#define __pyx_n_u_TA_EFI_Value __pyx_string_tab[1484] +#define __pyx_n_u_TA_EMA __pyx_string_tab[1485] +#define __pyx_n_u_TA_EMA_Clone __pyx_string_tab[1486] +#define __pyx_n_u_TA_EMA_Open __pyx_string_tab[1487] +#define __pyx_n_u_TA_EMA_OpenAndFill __pyx_string_tab[1488] +#define __pyx_n_u_TA_EMA_Peek __pyx_string_tab[1489] +#define __pyx_n_u_TA_EMA_Update __pyx_string_tab[1490] +#define __pyx_n_u_TA_EMA_Value __pyx_string_tab[1491] +#define __pyx_n_u_TA_ER __pyx_string_tab[1492] +#define __pyx_n_u_TA_ERI __pyx_string_tab[1493] +#define __pyx_n_u_TA_ERI_Clone __pyx_string_tab[1494] +#define __pyx_n_u_TA_ERI_Open __pyx_string_tab[1495] +#define __pyx_n_u_TA_ERI_OpenAndFill __pyx_string_tab[1496] +#define __pyx_n_u_TA_ERI_Peek __pyx_string_tab[1497] +#define __pyx_n_u_TA_ERI_Update __pyx_string_tab[1498] +#define __pyx_n_u_TA_ERI_Value __pyx_string_tab[1499] +#define __pyx_n_u_TA_ER_Clone __pyx_string_tab[1500] +#define __pyx_n_u_TA_ER_Open __pyx_string_tab[1501] +#define __pyx_n_u_TA_ER_OpenAndFill __pyx_string_tab[1502] +#define __pyx_n_u_TA_ER_Peek __pyx_string_tab[1503] +#define __pyx_n_u_TA_ER_Update __pyx_string_tab[1504] +#define __pyx_n_u_TA_ER_Value __pyx_string_tab[1505] +#define __pyx_n_u_TA_EXP __pyx_string_tab[1506] +#define __pyx_n_u_TA_EXP_Clone __pyx_string_tab[1507] +#define __pyx_n_u_TA_EXP_Open __pyx_string_tab[1508] +#define __pyx_n_u_TA_EXP_OpenAndFill __pyx_string_tab[1509] +#define __pyx_n_u_TA_EXP_Peek __pyx_string_tab[1510] +#define __pyx_n_u_TA_EXP_Update __pyx_string_tab[1511] +#define __pyx_n_u_TA_EXP_Value __pyx_string_tab[1512] +#define __pyx_n_u_TA_FLOOR __pyx_string_tab[1513] +#define __pyx_n_u_TA_FLOOR_Clone __pyx_string_tab[1514] +#define __pyx_n_u_TA_FLOOR_Open __pyx_string_tab[1515] +#define __pyx_n_u_TA_FLOOR_OpenAndFill __pyx_string_tab[1516] +#define __pyx_n_u_TA_FLOOR_Peek __pyx_string_tab[1517] +#define __pyx_n_u_TA_FLOOR_Update __pyx_string_tab[1518] +#define __pyx_n_u_TA_FLOOR_Value __pyx_string_tab[1519] +#define __pyx_n_u_TA_FOSC __pyx_string_tab[1520] +#define __pyx_n_u_TA_FOSC_Clone __pyx_string_tab[1521] +#define __pyx_n_u_TA_FOSC_Open __pyx_string_tab[1522] +#define __pyx_n_u_TA_FOSC_OpenAndFill __pyx_string_tab[1523] +#define __pyx_n_u_TA_FOSC_Peek __pyx_string_tab[1524] +#define __pyx_n_u_TA_FOSC_Update __pyx_string_tab[1525] +#define __pyx_n_u_TA_FOSC_Value __pyx_string_tab[1526] +#define __pyx_n_u_TA_FRACTAL __pyx_string_tab[1527] +#define __pyx_n_u_TA_FRACTAL_Clone __pyx_string_tab[1528] +#define __pyx_n_u_TA_FRACTAL_Open __pyx_string_tab[1529] +#define __pyx_n_u_TA_FRACTAL_OpenAndFill __pyx_string_tab[1530] +#define __pyx_n_u_TA_FRACTAL_Peek __pyx_string_tab[1531] +#define __pyx_n_u_TA_FRACTAL_Update __pyx_string_tab[1532] +#define __pyx_n_u_TA_FRACTAL_Value __pyx_string_tab[1533] +#define __pyx_n_u_TA_FUNCTION_NAMES __pyx_string_tab[1534] +#define __pyx_n_u_TA_FUNC_FLAGS __pyx_string_tab[1535] +#define __pyx_n_u_TA_FuncTableAlloc __pyx_string_tab[1536] +#define __pyx_n_u_TA_FuncTableFree __pyx_string_tab[1537] +#define __pyx_n_u_TA_GetFuncHandle __pyx_string_tab[1538] +#define __pyx_n_u_TA_GetFuncInfo __pyx_string_tab[1539] +#define __pyx_n_u_TA_GetInputParameterInfo __pyx_string_tab[1540] +#define __pyx_n_u_TA_GetLookback __pyx_string_tab[1541] +#define __pyx_n_u_TA_GetOptInputParameterInfo __pyx_string_tab[1542] +#define __pyx_n_u_TA_GetOutputParameterInfo __pyx_string_tab[1543] +#define __pyx_n_u_TA_GroupTableAlloc __pyx_string_tab[1544] +#define __pyx_n_u_TA_GroupTableFree __pyx_string_tab[1545] +#define __pyx_n_u_TA_HA __pyx_string_tab[1546] +#define __pyx_n_u_TA_HA_Clone __pyx_string_tab[1547] +#define __pyx_n_u_TA_HA_Open __pyx_string_tab[1548] +#define __pyx_n_u_TA_HA_OpenAndFill __pyx_string_tab[1549] +#define __pyx_n_u_TA_HA_Peek __pyx_string_tab[1550] +#define __pyx_n_u_TA_HA_Update __pyx_string_tab[1551] +#define __pyx_n_u_TA_HA_Value __pyx_string_tab[1552] +#define __pyx_n_u_TA_HMA __pyx_string_tab[1553] +#define __pyx_n_u_TA_HMA_Clone __pyx_string_tab[1554] +#define __pyx_n_u_TA_HMA_Open __pyx_string_tab[1555] +#define __pyx_n_u_TA_HMA_OpenAndFill __pyx_string_tab[1556] +#define __pyx_n_u_TA_HMA_Peek __pyx_string_tab[1557] +#define __pyx_n_u_TA_HMA_Update __pyx_string_tab[1558] +#define __pyx_n_u_TA_HMA_Value __pyx_string_tab[1559] +#define __pyx_n_u_TA_HT_DCPERIOD __pyx_string_tab[1560] +#define __pyx_n_u_TA_HT_DCPERIOD_Clone __pyx_string_tab[1561] +#define __pyx_n_u_TA_HT_DCPERIOD_Open __pyx_string_tab[1562] +#define __pyx_n_u_TA_HT_DCPERIOD_OpenAndFill __pyx_string_tab[1563] +#define __pyx_n_u_TA_HT_DCPERIOD_Peek __pyx_string_tab[1564] +#define __pyx_n_u_TA_HT_DCPERIOD_Update __pyx_string_tab[1565] +#define __pyx_n_u_TA_HT_DCPERIOD_Value __pyx_string_tab[1566] +#define __pyx_n_u_TA_HT_DCPHASE __pyx_string_tab[1567] +#define __pyx_n_u_TA_HT_DCPHASE_Clone __pyx_string_tab[1568] +#define __pyx_n_u_TA_HT_DCPHASE_Open __pyx_string_tab[1569] +#define __pyx_n_u_TA_HT_DCPHASE_OpenAndFill __pyx_string_tab[1570] +#define __pyx_n_u_TA_HT_DCPHASE_Peek __pyx_string_tab[1571] +#define __pyx_n_u_TA_HT_DCPHASE_Update __pyx_string_tab[1572] +#define __pyx_n_u_TA_HT_DCPHASE_Value __pyx_string_tab[1573] +#define __pyx_n_u_TA_HT_PHASOR __pyx_string_tab[1574] +#define __pyx_n_u_TA_HT_PHASOR_Clone __pyx_string_tab[1575] +#define __pyx_n_u_TA_HT_PHASOR_Open __pyx_string_tab[1576] +#define __pyx_n_u_TA_HT_PHASOR_OpenAndFill __pyx_string_tab[1577] +#define __pyx_n_u_TA_HT_PHASOR_Peek __pyx_string_tab[1578] +#define __pyx_n_u_TA_HT_PHASOR_Update __pyx_string_tab[1579] +#define __pyx_n_u_TA_HT_PHASOR_Value __pyx_string_tab[1580] +#define __pyx_n_u_TA_HT_SINE __pyx_string_tab[1581] +#define __pyx_n_u_TA_HT_SINE_Clone __pyx_string_tab[1582] +#define __pyx_n_u_TA_HT_SINE_Open __pyx_string_tab[1583] +#define __pyx_n_u_TA_HT_SINE_OpenAndFill __pyx_string_tab[1584] +#define __pyx_n_u_TA_HT_SINE_Peek __pyx_string_tab[1585] +#define __pyx_n_u_TA_HT_SINE_Update __pyx_string_tab[1586] +#define __pyx_n_u_TA_HT_SINE_Value __pyx_string_tab[1587] +#define __pyx_n_u_TA_HT_TRENDLINE __pyx_string_tab[1588] +#define __pyx_n_u_TA_HT_TRENDLINE_Clone __pyx_string_tab[1589] +#define __pyx_n_u_TA_HT_TRENDLINE_Open __pyx_string_tab[1590] +#define __pyx_n_u_TA_HT_TRENDLINE_OpenAndFill __pyx_string_tab[1591] +#define __pyx_n_u_TA_HT_TRENDLINE_Peek __pyx_string_tab[1592] +#define __pyx_n_u_TA_HT_TRENDLINE_Update __pyx_string_tab[1593] +#define __pyx_n_u_TA_HT_TRENDLINE_Value __pyx_string_tab[1594] +#define __pyx_n_u_TA_HT_TRENDMODE __pyx_string_tab[1595] +#define __pyx_n_u_TA_HT_TRENDMODE_Clone __pyx_string_tab[1596] +#define __pyx_n_u_TA_HT_TRENDMODE_Open __pyx_string_tab[1597] +#define __pyx_n_u_TA_HT_TRENDMODE_OpenAndFill __pyx_string_tab[1598] +#define __pyx_n_u_TA_HT_TRENDMODE_Peek __pyx_string_tab[1599] +#define __pyx_n_u_TA_HT_TRENDMODE_Update __pyx_string_tab[1600] +#define __pyx_n_u_TA_HT_TRENDMODE_Value __pyx_string_tab[1601] +#define __pyx_n_u_TA_IMI __pyx_string_tab[1602] +#define __pyx_n_u_TA_IMI_Clone __pyx_string_tab[1603] +#define __pyx_n_u_TA_IMI_Open __pyx_string_tab[1604] +#define __pyx_n_u_TA_IMI_OpenAndFill __pyx_string_tab[1605] +#define __pyx_n_u_TA_IMI_Peek __pyx_string_tab[1606] +#define __pyx_n_u_TA_IMI_Update __pyx_string_tab[1607] +#define __pyx_n_u_TA_IMI_Value __pyx_string_tab[1608] +#define __pyx_n_u_TA_INPUT_FLAGS __pyx_string_tab[1609] +#define __pyx_n_u_TA_Initialize __pyx_string_tab[1610] +#define __pyx_n_u_TA_KAMA __pyx_string_tab[1611] +#define __pyx_n_u_TA_KAMA_Clone __pyx_string_tab[1612] +#define __pyx_n_u_TA_KAMA_Open __pyx_string_tab[1613] +#define __pyx_n_u_TA_KAMA_OpenAndFill __pyx_string_tab[1614] +#define __pyx_n_u_TA_KAMA_Peek __pyx_string_tab[1615] +#define __pyx_n_u_TA_KAMA_Update __pyx_string_tab[1616] +#define __pyx_n_u_TA_KAMA_Value __pyx_string_tab[1617] +#define __pyx_n_u_TA_KC __pyx_string_tab[1618] +#define __pyx_n_u_TA_KC_Clone __pyx_string_tab[1619] +#define __pyx_n_u_TA_KC_Open __pyx_string_tab[1620] +#define __pyx_n_u_TA_KC_OpenAndFill __pyx_string_tab[1621] +#define __pyx_n_u_TA_KC_Peek __pyx_string_tab[1622] +#define __pyx_n_u_TA_KC_Update __pyx_string_tab[1623] +#define __pyx_n_u_TA_KC_Value __pyx_string_tab[1624] +#define __pyx_n_u_TA_KDJ __pyx_string_tab[1625] +#define __pyx_n_u_TA_KDJ_Clone __pyx_string_tab[1626] +#define __pyx_n_u_TA_KDJ_Open __pyx_string_tab[1627] +#define __pyx_n_u_TA_KDJ_OpenAndFill __pyx_string_tab[1628] +#define __pyx_n_u_TA_KDJ_Peek __pyx_string_tab[1629] +#define __pyx_n_u_TA_KDJ_Update __pyx_string_tab[1630] +#define __pyx_n_u_TA_KDJ_Value __pyx_string_tab[1631] +#define __pyx_n_u_TA_LINEARREG __pyx_string_tab[1632] +#define __pyx_n_u_TA_LINEARREG_ANGLE __pyx_string_tab[1633] +#define __pyx_n_u_TA_LINEARREG_ANGLE_Clone __pyx_string_tab[1634] +#define __pyx_n_u_TA_LINEARREG_ANGLE_Open __pyx_string_tab[1635] +#define __pyx_n_u_TA_LINEARREG_ANGLE_OpenAndFill __pyx_string_tab[1636] +#define __pyx_n_u_TA_LINEARREG_ANGLE_Peek __pyx_string_tab[1637] +#define __pyx_n_u_TA_LINEARREG_ANGLE_Update __pyx_string_tab[1638] +#define __pyx_n_u_TA_LINEARREG_ANGLE_Value __pyx_string_tab[1639] +#define __pyx_n_u_TA_LINEARREG_Clone __pyx_string_tab[1640] +#define __pyx_n_u_TA_LINEARREG_INTERCEPT __pyx_string_tab[1641] +#define __pyx_n_u_TA_LINEARREG_INTERCEPT_Clone __pyx_string_tab[1642] +#define __pyx_n_u_TA_LINEARREG_INTERCEPT_Open __pyx_string_tab[1643] +#define __pyx_n_u_TA_LINEARREG_INTERCEPT_OpenAndFi __pyx_string_tab[1644] +#define __pyx_n_u_TA_LINEARREG_INTERCEPT_Peek __pyx_string_tab[1645] +#define __pyx_n_u_TA_LINEARREG_INTERCEPT_Update __pyx_string_tab[1646] +#define __pyx_n_u_TA_LINEARREG_INTERCEPT_Value __pyx_string_tab[1647] +#define __pyx_n_u_TA_LINEARREG_Open __pyx_string_tab[1648] +#define __pyx_n_u_TA_LINEARREG_OpenAndFill __pyx_string_tab[1649] +#define __pyx_n_u_TA_LINEARREG_Peek __pyx_string_tab[1650] +#define __pyx_n_u_TA_LINEARREG_SLOPE __pyx_string_tab[1651] +#define __pyx_n_u_TA_LINEARREG_SLOPE_Clone __pyx_string_tab[1652] +#define __pyx_n_u_TA_LINEARREG_SLOPE_Open __pyx_string_tab[1653] +#define __pyx_n_u_TA_LINEARREG_SLOPE_OpenAndFill __pyx_string_tab[1654] +#define __pyx_n_u_TA_LINEARREG_SLOPE_Peek __pyx_string_tab[1655] +#define __pyx_n_u_TA_LINEARREG_SLOPE_Update __pyx_string_tab[1656] +#define __pyx_n_u_TA_LINEARREG_SLOPE_Value __pyx_string_tab[1657] +#define __pyx_n_u_TA_LINEARREG_Update __pyx_string_tab[1658] +#define __pyx_n_u_TA_LINEARREG_Value __pyx_string_tab[1659] +#define __pyx_n_u_TA_LN __pyx_string_tab[1660] +#define __pyx_n_u_TA_LN_Clone __pyx_string_tab[1661] +#define __pyx_n_u_TA_LN_Open __pyx_string_tab[1662] +#define __pyx_n_u_TA_LN_OpenAndFill __pyx_string_tab[1663] +#define __pyx_n_u_TA_LN_Peek __pyx_string_tab[1664] +#define __pyx_n_u_TA_LN_Update __pyx_string_tab[1665] +#define __pyx_n_u_TA_LN_Value __pyx_string_tab[1666] +#define __pyx_n_u_TA_LOG10 __pyx_string_tab[1667] +#define __pyx_n_u_TA_LOG10_Clone __pyx_string_tab[1668] +#define __pyx_n_u_TA_LOG10_Open __pyx_string_tab[1669] +#define __pyx_n_u_TA_LOG10_OpenAndFill __pyx_string_tab[1670] +#define __pyx_n_u_TA_LOG10_Peek __pyx_string_tab[1671] +#define __pyx_n_u_TA_LOG10_Update __pyx_string_tab[1672] +#define __pyx_n_u_TA_LOG10_Value __pyx_string_tab[1673] +#define __pyx_n_u_TA_MA __pyx_string_tab[1674] +#define __pyx_n_u_TA_MACD __pyx_string_tab[1675] +#define __pyx_n_u_TA_MACDEXT __pyx_string_tab[1676] +#define __pyx_n_u_TA_MACDEXT_Clone __pyx_string_tab[1677] +#define __pyx_n_u_TA_MACDEXT_Open __pyx_string_tab[1678] +#define __pyx_n_u_TA_MACDEXT_OpenAndFill __pyx_string_tab[1679] +#define __pyx_n_u_TA_MACDEXT_Peek __pyx_string_tab[1680] +#define __pyx_n_u_TA_MACDEXT_Update __pyx_string_tab[1681] +#define __pyx_n_u_TA_MACDEXT_Value __pyx_string_tab[1682] +#define __pyx_n_u_TA_MACDFIX __pyx_string_tab[1683] +#define __pyx_n_u_TA_MACDFIX_Clone __pyx_string_tab[1684] +#define __pyx_n_u_TA_MACDFIX_Open __pyx_string_tab[1685] +#define __pyx_n_u_TA_MACDFIX_OpenAndFill __pyx_string_tab[1686] +#define __pyx_n_u_TA_MACDFIX_Peek __pyx_string_tab[1687] +#define __pyx_n_u_TA_MACDFIX_Update __pyx_string_tab[1688] +#define __pyx_n_u_TA_MACDFIX_Value __pyx_string_tab[1689] +#define __pyx_n_u_TA_MACD_Clone __pyx_string_tab[1690] +#define __pyx_n_u_TA_MACD_Open __pyx_string_tab[1691] +#define __pyx_n_u_TA_MACD_OpenAndFill __pyx_string_tab[1692] +#define __pyx_n_u_TA_MACD_Peek __pyx_string_tab[1693] +#define __pyx_n_u_TA_MACD_Update __pyx_string_tab[1694] +#define __pyx_n_u_TA_MACD_Value __pyx_string_tab[1695] +#define __pyx_n_u_TA_MAMA __pyx_string_tab[1696] +#define __pyx_n_u_TA_MAMA_Clone __pyx_string_tab[1697] +#define __pyx_n_u_TA_MAMA_Open __pyx_string_tab[1698] +#define __pyx_n_u_TA_MAMA_OpenAndFill __pyx_string_tab[1699] +#define __pyx_n_u_TA_MAMA_Peek __pyx_string_tab[1700] +#define __pyx_n_u_TA_MAMA_Update __pyx_string_tab[1701] +#define __pyx_n_u_TA_MAMA_Value __pyx_string_tab[1702] +#define __pyx_n_u_TA_MARKETFI __pyx_string_tab[1703] +#define __pyx_n_u_TA_MARKETFI_Clone __pyx_string_tab[1704] +#define __pyx_n_u_TA_MARKETFI_Open __pyx_string_tab[1705] +#define __pyx_n_u_TA_MARKETFI_OpenAndFill __pyx_string_tab[1706] +#define __pyx_n_u_TA_MARKETFI_Peek __pyx_string_tab[1707] +#define __pyx_n_u_TA_MARKETFI_Update __pyx_string_tab[1708] +#define __pyx_n_u_TA_MARKETFI_Value __pyx_string_tab[1709] +#define __pyx_n_u_TA_MASSI __pyx_string_tab[1710] +#define __pyx_n_u_TA_MASSI_Clone __pyx_string_tab[1711] +#define __pyx_n_u_TA_MASSI_Open __pyx_string_tab[1712] +#define __pyx_n_u_TA_MASSI_OpenAndFill __pyx_string_tab[1713] +#define __pyx_n_u_TA_MASSI_Peek __pyx_string_tab[1714] +#define __pyx_n_u_TA_MASSI_Update __pyx_string_tab[1715] +#define __pyx_n_u_TA_MASSI_Value __pyx_string_tab[1716] +#define __pyx_n_u_TA_MAVP __pyx_string_tab[1717] +#define __pyx_n_u_TA_MAVP_Clone __pyx_string_tab[1718] +#define __pyx_n_u_TA_MAVP_Open __pyx_string_tab[1719] +#define __pyx_n_u_TA_MAVP_OpenAndFill __pyx_string_tab[1720] +#define __pyx_n_u_TA_MAVP_Peek __pyx_string_tab[1721] +#define __pyx_n_u_TA_MAVP_Update __pyx_string_tab[1722] +#define __pyx_n_u_TA_MAVP_Value __pyx_string_tab[1723] +#define __pyx_n_u_TA_MAX __pyx_string_tab[1724] +#define __pyx_n_u_TA_MAXINDEX __pyx_string_tab[1725] +#define __pyx_n_u_TA_MAXINDEX_Clone __pyx_string_tab[1726] +#define __pyx_n_u_TA_MAXINDEX_Open __pyx_string_tab[1727] +#define __pyx_n_u_TA_MAXINDEX_OpenAndFill __pyx_string_tab[1728] +#define __pyx_n_u_TA_MAXINDEX_Peek __pyx_string_tab[1729] +#define __pyx_n_u_TA_MAXINDEX_Update __pyx_string_tab[1730] +#define __pyx_n_u_TA_MAXINDEX_Value __pyx_string_tab[1731] +#define __pyx_n_u_TA_MAX_Clone __pyx_string_tab[1732] +#define __pyx_n_u_TA_MAX_Open __pyx_string_tab[1733] +#define __pyx_n_u_TA_MAX_OpenAndFill __pyx_string_tab[1734] +#define __pyx_n_u_TA_MAX_Peek __pyx_string_tab[1735] +#define __pyx_n_u_TA_MAX_Update __pyx_string_tab[1736] +#define __pyx_n_u_TA_MAX_Value __pyx_string_tab[1737] +#define __pyx_n_u_TA_MA_Clone __pyx_string_tab[1738] +#define __pyx_n_u_TA_MA_Open __pyx_string_tab[1739] +#define __pyx_n_u_TA_MA_OpenAndFill __pyx_string_tab[1740] +#define __pyx_n_u_TA_MA_Peek __pyx_string_tab[1741] +#define __pyx_n_u_TA_MA_Update __pyx_string_tab[1742] +#define __pyx_n_u_TA_MA_Value __pyx_string_tab[1743] +#define __pyx_n_u_TA_MEDPRICE __pyx_string_tab[1744] +#define __pyx_n_u_TA_MEDPRICE_Clone __pyx_string_tab[1745] +#define __pyx_n_u_TA_MEDPRICE_Open __pyx_string_tab[1746] +#define __pyx_n_u_TA_MEDPRICE_OpenAndFill __pyx_string_tab[1747] +#define __pyx_n_u_TA_MEDPRICE_Peek __pyx_string_tab[1748] +#define __pyx_n_u_TA_MEDPRICE_Update __pyx_string_tab[1749] +#define __pyx_n_u_TA_MEDPRICE_Value __pyx_string_tab[1750] +#define __pyx_n_u_TA_MFI __pyx_string_tab[1751] +#define __pyx_n_u_TA_MFI_Clone __pyx_string_tab[1752] +#define __pyx_n_u_TA_MFI_Open __pyx_string_tab[1753] +#define __pyx_n_u_TA_MFI_OpenAndFill __pyx_string_tab[1754] +#define __pyx_n_u_TA_MFI_Peek __pyx_string_tab[1755] +#define __pyx_n_u_TA_MFI_Update __pyx_string_tab[1756] +#define __pyx_n_u_TA_MFI_Value __pyx_string_tab[1757] +#define __pyx_n_u_TA_MIDPOINT __pyx_string_tab[1758] +#define __pyx_n_u_TA_MIDPOINT_Clone __pyx_string_tab[1759] +#define __pyx_n_u_TA_MIDPOINT_Open __pyx_string_tab[1760] +#define __pyx_n_u_TA_MIDPOINT_OpenAndFill __pyx_string_tab[1761] +#define __pyx_n_u_TA_MIDPOINT_Peek __pyx_string_tab[1762] +#define __pyx_n_u_TA_MIDPOINT_Update __pyx_string_tab[1763] +#define __pyx_n_u_TA_MIDPOINT_Value __pyx_string_tab[1764] +#define __pyx_n_u_TA_MIDPRICE __pyx_string_tab[1765] +#define __pyx_n_u_TA_MIDPRICE_Clone __pyx_string_tab[1766] +#define __pyx_n_u_TA_MIDPRICE_Open __pyx_string_tab[1767] +#define __pyx_n_u_TA_MIDPRICE_OpenAndFill __pyx_string_tab[1768] +#define __pyx_n_u_TA_MIDPRICE_Peek __pyx_string_tab[1769] +#define __pyx_n_u_TA_MIDPRICE_Update __pyx_string_tab[1770] +#define __pyx_n_u_TA_MIDPRICE_Value __pyx_string_tab[1771] +#define __pyx_n_u_TA_MIN __pyx_string_tab[1772] +#define __pyx_n_u_TA_MININDEX __pyx_string_tab[1773] +#define __pyx_n_u_TA_MININDEX_Clone __pyx_string_tab[1774] +#define __pyx_n_u_TA_MININDEX_Open __pyx_string_tab[1775] +#define __pyx_n_u_TA_MININDEX_OpenAndFill __pyx_string_tab[1776] +#define __pyx_n_u_TA_MININDEX_Peek __pyx_string_tab[1777] +#define __pyx_n_u_TA_MININDEX_Update __pyx_string_tab[1778] +#define __pyx_n_u_TA_MININDEX_Value __pyx_string_tab[1779] +#define __pyx_n_u_TA_MINMAX __pyx_string_tab[1780] +#define __pyx_n_u_TA_MINMAXINDEX __pyx_string_tab[1781] +#define __pyx_n_u_TA_MINMAXINDEX_Clone __pyx_string_tab[1782] +#define __pyx_n_u_TA_MINMAXINDEX_Open __pyx_string_tab[1783] +#define __pyx_n_u_TA_MINMAXINDEX_OpenAndFill __pyx_string_tab[1784] +#define __pyx_n_u_TA_MINMAXINDEX_Peek __pyx_string_tab[1785] +#define __pyx_n_u_TA_MINMAXINDEX_Update __pyx_string_tab[1786] +#define __pyx_n_u_TA_MINMAXINDEX_Value __pyx_string_tab[1787] +#define __pyx_n_u_TA_MINMAX_Clone __pyx_string_tab[1788] +#define __pyx_n_u_TA_MINMAX_Open __pyx_string_tab[1789] +#define __pyx_n_u_TA_MINMAX_OpenAndFill __pyx_string_tab[1790] +#define __pyx_n_u_TA_MINMAX_Peek __pyx_string_tab[1791] +#define __pyx_n_u_TA_MINMAX_Update __pyx_string_tab[1792] +#define __pyx_n_u_TA_MINMAX_Value __pyx_string_tab[1793] +#define __pyx_n_u_TA_MINUS_DI __pyx_string_tab[1794] +#define __pyx_n_u_TA_MINUS_DI_Clone __pyx_string_tab[1795] +#define __pyx_n_u_TA_MINUS_DI_Open __pyx_string_tab[1796] +#define __pyx_n_u_TA_MINUS_DI_OpenAndFill __pyx_string_tab[1797] +#define __pyx_n_u_TA_MINUS_DI_Peek __pyx_string_tab[1798] +#define __pyx_n_u_TA_MINUS_DI_Update __pyx_string_tab[1799] +#define __pyx_n_u_TA_MINUS_DI_Value __pyx_string_tab[1800] +#define __pyx_n_u_TA_MINUS_DM __pyx_string_tab[1801] +#define __pyx_n_u_TA_MINUS_DM_Clone __pyx_string_tab[1802] +#define __pyx_n_u_TA_MINUS_DM_Open __pyx_string_tab[1803] +#define __pyx_n_u_TA_MINUS_DM_OpenAndFill __pyx_string_tab[1804] +#define __pyx_n_u_TA_MINUS_DM_Peek __pyx_string_tab[1805] +#define __pyx_n_u_TA_MINUS_DM_Update __pyx_string_tab[1806] +#define __pyx_n_u_TA_MINUS_DM_Value __pyx_string_tab[1807] +#define __pyx_n_u_TA_MIN_Clone __pyx_string_tab[1808] +#define __pyx_n_u_TA_MIN_Open __pyx_string_tab[1809] +#define __pyx_n_u_TA_MIN_OpenAndFill __pyx_string_tab[1810] +#define __pyx_n_u_TA_MIN_Peek __pyx_string_tab[1811] +#define __pyx_n_u_TA_MIN_Update __pyx_string_tab[1812] +#define __pyx_n_u_TA_MIN_Value __pyx_string_tab[1813] +#define __pyx_n_u_TA_MOM __pyx_string_tab[1814] +#define __pyx_n_u_TA_MOM_Clone __pyx_string_tab[1815] +#define __pyx_n_u_TA_MOM_Open __pyx_string_tab[1816] +#define __pyx_n_u_TA_MOM_OpenAndFill __pyx_string_tab[1817] +#define __pyx_n_u_TA_MOM_Peek __pyx_string_tab[1818] +#define __pyx_n_u_TA_MOM_Update __pyx_string_tab[1819] +#define __pyx_n_u_TA_MOM_Value __pyx_string_tab[1820] +#define __pyx_n_u_TA_MULT __pyx_string_tab[1821] +#define __pyx_n_u_TA_MULT_Clone __pyx_string_tab[1822] +#define __pyx_n_u_TA_MULT_Open __pyx_string_tab[1823] +#define __pyx_n_u_TA_MULT_OpenAndFill __pyx_string_tab[1824] +#define __pyx_n_u_TA_MULT_Peek __pyx_string_tab[1825] +#define __pyx_n_u_TA_MULT_Update __pyx_string_tab[1826] +#define __pyx_n_u_TA_MULT_Value __pyx_string_tab[1827] +#define __pyx_n_u_TA_NATR __pyx_string_tab[1828] +#define __pyx_n_u_TA_NATR_Clone __pyx_string_tab[1829] +#define __pyx_n_u_TA_NATR_Open __pyx_string_tab[1830] +#define __pyx_n_u_TA_NATR_OpenAndFill __pyx_string_tab[1831] +#define __pyx_n_u_TA_NATR_Peek __pyx_string_tab[1832] +#define __pyx_n_u_TA_NATR_Update __pyx_string_tab[1833] +#define __pyx_n_u_TA_NATR_Value __pyx_string_tab[1834] +#define __pyx_n_u_TA_NVI __pyx_string_tab[1835] +#define __pyx_n_u_TA_NVI_Clone __pyx_string_tab[1836] +#define __pyx_n_u_TA_NVI_Open __pyx_string_tab[1837] +#define __pyx_n_u_TA_NVI_OpenAndFill __pyx_string_tab[1838] +#define __pyx_n_u_TA_NVI_Peek __pyx_string_tab[1839] +#define __pyx_n_u_TA_NVI_Update __pyx_string_tab[1840] +#define __pyx_n_u_TA_NVI_Value __pyx_string_tab[1841] +#define __pyx_n_u_TA_OBV __pyx_string_tab[1842] +#define __pyx_n_u_TA_OBV_Clone __pyx_string_tab[1843] +#define __pyx_n_u_TA_OBV_Open __pyx_string_tab[1844] +#define __pyx_n_u_TA_OBV_OpenAndFill __pyx_string_tab[1845] +#define __pyx_n_u_TA_OBV_Peek __pyx_string_tab[1846] +#define __pyx_n_u_TA_OBV_Update __pyx_string_tab[1847] +#define __pyx_n_u_TA_OBV_Value __pyx_string_tab[1848] +#define __pyx_n_u_TA_OUTPUT_FLAGS __pyx_string_tab[1849] +#define __pyx_n_u_TA_PERCENTILE __pyx_string_tab[1850] +#define __pyx_n_u_TA_PERCENTILE_Clone __pyx_string_tab[1851] +#define __pyx_n_u_TA_PERCENTILE_Open __pyx_string_tab[1852] +#define __pyx_n_u_TA_PERCENTILE_OpenAndFill __pyx_string_tab[1853] +#define __pyx_n_u_TA_PERCENTILE_Peek __pyx_string_tab[1854] +#define __pyx_n_u_TA_PERCENTILE_Update __pyx_string_tab[1855] +#define __pyx_n_u_TA_PERCENTILE_Value __pyx_string_tab[1856] +#define __pyx_n_u_TA_PERCENTRANK __pyx_string_tab[1857] +#define __pyx_n_u_TA_PERCENTRANK_Clone __pyx_string_tab[1858] +#define __pyx_n_u_TA_PERCENTRANK_Open __pyx_string_tab[1859] +#define __pyx_n_u_TA_PERCENTRANK_OpenAndFill __pyx_string_tab[1860] +#define __pyx_n_u_TA_PERCENTRANK_Peek __pyx_string_tab[1861] +#define __pyx_n_u_TA_PERCENTRANK_Update __pyx_string_tab[1862] +#define __pyx_n_u_TA_PERCENTRANK_Value __pyx_string_tab[1863] +#define __pyx_n_u_TA_PLUS_DI __pyx_string_tab[1864] +#define __pyx_n_u_TA_PLUS_DI_Clone __pyx_string_tab[1865] +#define __pyx_n_u_TA_PLUS_DI_Open __pyx_string_tab[1866] +#define __pyx_n_u_TA_PLUS_DI_OpenAndFill __pyx_string_tab[1867] +#define __pyx_n_u_TA_PLUS_DI_Peek __pyx_string_tab[1868] +#define __pyx_n_u_TA_PLUS_DI_Update __pyx_string_tab[1869] +#define __pyx_n_u_TA_PLUS_DI_Value __pyx_string_tab[1870] +#define __pyx_n_u_TA_PLUS_DM __pyx_string_tab[1871] +#define __pyx_n_u_TA_PLUS_DM_Clone __pyx_string_tab[1872] +#define __pyx_n_u_TA_PLUS_DM_Open __pyx_string_tab[1873] +#define __pyx_n_u_TA_PLUS_DM_OpenAndFill __pyx_string_tab[1874] +#define __pyx_n_u_TA_PLUS_DM_Peek __pyx_string_tab[1875] +#define __pyx_n_u_TA_PLUS_DM_Update __pyx_string_tab[1876] +#define __pyx_n_u_TA_PLUS_DM_Value __pyx_string_tab[1877] +#define __pyx_n_u_TA_PPO __pyx_string_tab[1878] +#define __pyx_n_u_TA_PPO_Clone __pyx_string_tab[1879] +#define __pyx_n_u_TA_PPO_Open __pyx_string_tab[1880] +#define __pyx_n_u_TA_PPO_OpenAndFill __pyx_string_tab[1881] +#define __pyx_n_u_TA_PPO_Peek __pyx_string_tab[1882] +#define __pyx_n_u_TA_PPO_Update __pyx_string_tab[1883] +#define __pyx_n_u_TA_PPO_Value __pyx_string_tab[1884] +#define __pyx_n_u_TA_PVI __pyx_string_tab[1885] +#define __pyx_n_u_TA_PVI_Clone __pyx_string_tab[1886] +#define __pyx_n_u_TA_PVI_Open __pyx_string_tab[1887] +#define __pyx_n_u_TA_PVI_OpenAndFill __pyx_string_tab[1888] +#define __pyx_n_u_TA_PVI_Peek __pyx_string_tab[1889] +#define __pyx_n_u_TA_PVI_Update __pyx_string_tab[1890] +#define __pyx_n_u_TA_PVI_Value __pyx_string_tab[1891] +#define __pyx_n_u_TA_PVO __pyx_string_tab[1892] +#define __pyx_n_u_TA_PVO_Clone __pyx_string_tab[1893] +#define __pyx_n_u_TA_PVO_Open __pyx_string_tab[1894] +#define __pyx_n_u_TA_PVO_OpenAndFill __pyx_string_tab[1895] +#define __pyx_n_u_TA_PVO_Peek __pyx_string_tab[1896] +#define __pyx_n_u_TA_PVO_Update __pyx_string_tab[1897] +#define __pyx_n_u_TA_PVO_Value __pyx_string_tab[1898] +#define __pyx_n_u_TA_PVT __pyx_string_tab[1899] +#define __pyx_n_u_TA_PVT_Clone __pyx_string_tab[1900] +#define __pyx_n_u_TA_PVT_Open __pyx_string_tab[1901] +#define __pyx_n_u_TA_PVT_OpenAndFill __pyx_string_tab[1902] +#define __pyx_n_u_TA_PVT_Peek __pyx_string_tab[1903] +#define __pyx_n_u_TA_PVT_Update __pyx_string_tab[1904] +#define __pyx_n_u_TA_PVT_Value __pyx_string_tab[1905] +#define __pyx_n_u_TA_ParamHolderAlloc __pyx_string_tab[1906] +#define __pyx_n_u_TA_ParamHolderFree __pyx_string_tab[1907] +#define __pyx_n_u_TA_QSTICK __pyx_string_tab[1908] +#define __pyx_n_u_TA_QSTICK_Clone __pyx_string_tab[1909] +#define __pyx_n_u_TA_QSTICK_Open __pyx_string_tab[1910] +#define __pyx_n_u_TA_QSTICK_OpenAndFill __pyx_string_tab[1911] +#define __pyx_n_u_TA_QSTICK_Peek __pyx_string_tab[1912] +#define __pyx_n_u_TA_QSTICK_Update __pyx_string_tab[1913] +#define __pyx_n_u_TA_QSTICK_Value __pyx_string_tab[1914] +#define __pyx_n_u_TA_RMA __pyx_string_tab[1915] +#define __pyx_n_u_TA_RMA_Clone __pyx_string_tab[1916] +#define __pyx_n_u_TA_RMA_Open __pyx_string_tab[1917] +#define __pyx_n_u_TA_RMA_OpenAndFill __pyx_string_tab[1918] +#define __pyx_n_u_TA_RMA_Peek __pyx_string_tab[1919] +#define __pyx_n_u_TA_RMA_Update __pyx_string_tab[1920] +#define __pyx_n_u_TA_RMA_Value __pyx_string_tab[1921] +#define __pyx_n_u_TA_ROC __pyx_string_tab[1922] +#define __pyx_n_u_TA_ROCP __pyx_string_tab[1923] +#define __pyx_n_u_TA_ROCP_Clone __pyx_string_tab[1924] +#define __pyx_n_u_TA_ROCP_Open __pyx_string_tab[1925] +#define __pyx_n_u_TA_ROCP_OpenAndFill __pyx_string_tab[1926] +#define __pyx_n_u_TA_ROCP_Peek __pyx_string_tab[1927] +#define __pyx_n_u_TA_ROCP_Update __pyx_string_tab[1928] +#define __pyx_n_u_TA_ROCP_Value __pyx_string_tab[1929] +#define __pyx_n_u_TA_ROCR __pyx_string_tab[1930] +#define __pyx_n_u_TA_ROCR100 __pyx_string_tab[1931] +#define __pyx_n_u_TA_ROCR100_Clone __pyx_string_tab[1932] +#define __pyx_n_u_TA_ROCR100_Open __pyx_string_tab[1933] +#define __pyx_n_u_TA_ROCR100_OpenAndFill __pyx_string_tab[1934] +#define __pyx_n_u_TA_ROCR100_Peek __pyx_string_tab[1935] +#define __pyx_n_u_TA_ROCR100_Update __pyx_string_tab[1936] +#define __pyx_n_u_TA_ROCR100_Value __pyx_string_tab[1937] +#define __pyx_n_u_TA_ROCR_Clone __pyx_string_tab[1938] +#define __pyx_n_u_TA_ROCR_Open __pyx_string_tab[1939] +#define __pyx_n_u_TA_ROCR_OpenAndFill __pyx_string_tab[1940] +#define __pyx_n_u_TA_ROCR_Peek __pyx_string_tab[1941] +#define __pyx_n_u_TA_ROCR_Update __pyx_string_tab[1942] +#define __pyx_n_u_TA_ROCR_Value __pyx_string_tab[1943] +#define __pyx_n_u_TA_ROC_Clone __pyx_string_tab[1944] +#define __pyx_n_u_TA_ROC_Open __pyx_string_tab[1945] +#define __pyx_n_u_TA_ROC_OpenAndFill __pyx_string_tab[1946] +#define __pyx_n_u_TA_ROC_Peek __pyx_string_tab[1947] +#define __pyx_n_u_TA_ROC_Update __pyx_string_tab[1948] +#define __pyx_n_u_TA_ROC_Value __pyx_string_tab[1949] +#define __pyx_n_u_TA_RSI __pyx_string_tab[1950] +#define __pyx_n_u_TA_RSI_Clone __pyx_string_tab[1951] +#define __pyx_n_u_TA_RSI_Open __pyx_string_tab[1952] +#define __pyx_n_u_TA_RSI_OpenAndFill __pyx_string_tab[1953] +#define __pyx_n_u_TA_RSI_Peek __pyx_string_tab[1954] +#define __pyx_n_u_TA_RSI_Update __pyx_string_tab[1955] +#define __pyx_n_u_TA_RSI_Value __pyx_string_tab[1956] +#define __pyx_n_u_TA_RVI __pyx_string_tab[1957] +#define __pyx_n_u_TA_RVI_Clone __pyx_string_tab[1958] +#define __pyx_n_u_TA_RVI_Open __pyx_string_tab[1959] +#define __pyx_n_u_TA_RVI_OpenAndFill __pyx_string_tab[1960] +#define __pyx_n_u_TA_RVI_Peek __pyx_string_tab[1961] +#define __pyx_n_u_TA_RVI_Update __pyx_string_tab[1962] +#define __pyx_n_u_TA_RVI_Value __pyx_string_tab[1963] +#define __pyx_n_u_TA_RVOL __pyx_string_tab[1964] +#define __pyx_n_u_TA_RVOL_Clone __pyx_string_tab[1965] +#define __pyx_n_u_TA_RVOL_Open __pyx_string_tab[1966] +#define __pyx_n_u_TA_RVOL_OpenAndFill __pyx_string_tab[1967] +#define __pyx_n_u_TA_RVOL_Peek __pyx_string_tab[1968] +#define __pyx_n_u_TA_RVOL_Update __pyx_string_tab[1969] +#define __pyx_n_u_TA_RVOL_Value __pyx_string_tab[1970] +#define __pyx_n_u_TA_RestoreCandleDefaultSettings __pyx_string_tab[1971] +#define __pyx_n_u_TA_SAR __pyx_string_tab[1972] +#define __pyx_n_u_TA_SAREXT __pyx_string_tab[1973] +#define __pyx_n_u_TA_SAREXT_Clone __pyx_string_tab[1974] +#define __pyx_n_u_TA_SAREXT_Open __pyx_string_tab[1975] +#define __pyx_n_u_TA_SAREXT_OpenAndFill __pyx_string_tab[1976] +#define __pyx_n_u_TA_SAREXT_Peek __pyx_string_tab[1977] +#define __pyx_n_u_TA_SAREXT_Update __pyx_string_tab[1978] +#define __pyx_n_u_TA_SAREXT_Value __pyx_string_tab[1979] +#define __pyx_n_u_TA_SAR_Clone __pyx_string_tab[1980] +#define __pyx_n_u_TA_SAR_Open __pyx_string_tab[1981] +#define __pyx_n_u_TA_SAR_OpenAndFill __pyx_string_tab[1982] +#define __pyx_n_u_TA_SAR_Peek __pyx_string_tab[1983] +#define __pyx_n_u_TA_SAR_Update __pyx_string_tab[1984] +#define __pyx_n_u_TA_SAR_Value __pyx_string_tab[1985] +#define __pyx_n_u_TA_SIN __pyx_string_tab[1986] +#define __pyx_n_u_TA_SINH __pyx_string_tab[1987] +#define __pyx_n_u_TA_SINH_Clone __pyx_string_tab[1988] +#define __pyx_n_u_TA_SINH_Open __pyx_string_tab[1989] +#define __pyx_n_u_TA_SINH_OpenAndFill __pyx_string_tab[1990] +#define __pyx_n_u_TA_SINH_Peek __pyx_string_tab[1991] +#define __pyx_n_u_TA_SINH_Update __pyx_string_tab[1992] +#define __pyx_n_u_TA_SINH_Value __pyx_string_tab[1993] +#define __pyx_n_u_TA_SIN_Clone __pyx_string_tab[1994] +#define __pyx_n_u_TA_SIN_Open __pyx_string_tab[1995] +#define __pyx_n_u_TA_SIN_OpenAndFill __pyx_string_tab[1996] +#define __pyx_n_u_TA_SIN_Peek __pyx_string_tab[1997] +#define __pyx_n_u_TA_SIN_Update __pyx_string_tab[1998] +#define __pyx_n_u_TA_SIN_Value __pyx_string_tab[1999] +#define __pyx_n_u_TA_SMA __pyx_string_tab[2000] +#define __pyx_n_u_TA_SMA_Clone __pyx_string_tab[2001] +#define __pyx_n_u_TA_SMA_Open __pyx_string_tab[2002] +#define __pyx_n_u_TA_SMA_OpenAndFill __pyx_string_tab[2003] +#define __pyx_n_u_TA_SMA_Peek __pyx_string_tab[2004] +#define __pyx_n_u_TA_SMA_Update __pyx_string_tab[2005] +#define __pyx_n_u_TA_SMA_Value __pyx_string_tab[2006] +#define __pyx_n_u_TA_SMI __pyx_string_tab[2007] +#define __pyx_n_u_TA_SMI_Clone __pyx_string_tab[2008] +#define __pyx_n_u_TA_SMI_Open __pyx_string_tab[2009] +#define __pyx_n_u_TA_SMI_OpenAndFill __pyx_string_tab[2010] +#define __pyx_n_u_TA_SMI_Peek __pyx_string_tab[2011] +#define __pyx_n_u_TA_SMI_Update __pyx_string_tab[2012] +#define __pyx_n_u_TA_SMI_Value __pyx_string_tab[2013] +#define __pyx_n_u_TA_SQRT __pyx_string_tab[2014] +#define __pyx_n_u_TA_SQRT_Clone __pyx_string_tab[2015] +#define __pyx_n_u_TA_SQRT_Open __pyx_string_tab[2016] +#define __pyx_n_u_TA_SQRT_OpenAndFill __pyx_string_tab[2017] +#define __pyx_n_u_TA_SQRT_Peek __pyx_string_tab[2018] +#define __pyx_n_u_TA_SQRT_Update __pyx_string_tab[2019] +#define __pyx_n_u_TA_SQRT_Value __pyx_string_tab[2020] +#define __pyx_n_u_TA_STDDEV __pyx_string_tab[2021] +#define __pyx_n_u_TA_STDDEV_Clone __pyx_string_tab[2022] +#define __pyx_n_u_TA_STDDEV_Open __pyx_string_tab[2023] +#define __pyx_n_u_TA_STDDEV_OpenAndFill __pyx_string_tab[2024] +#define __pyx_n_u_TA_STDDEV_Peek __pyx_string_tab[2025] +#define __pyx_n_u_TA_STDDEV_Update __pyx_string_tab[2026] +#define __pyx_n_u_TA_STDDEV_Value __pyx_string_tab[2027] +#define __pyx_n_u_TA_STOCH __pyx_string_tab[2028] +#define __pyx_n_u_TA_STOCHF __pyx_string_tab[2029] +#define __pyx_n_u_TA_STOCHF_Clone __pyx_string_tab[2030] +#define __pyx_n_u_TA_STOCHF_Open __pyx_string_tab[2031] +#define __pyx_n_u_TA_STOCHF_OpenAndFill __pyx_string_tab[2032] +#define __pyx_n_u_TA_STOCHF_Peek __pyx_string_tab[2033] +#define __pyx_n_u_TA_STOCHF_Update __pyx_string_tab[2034] +#define __pyx_n_u_TA_STOCHF_Value __pyx_string_tab[2035] +#define __pyx_n_u_TA_STOCHRSI __pyx_string_tab[2036] +#define __pyx_n_u_TA_STOCHRSI_Clone __pyx_string_tab[2037] +#define __pyx_n_u_TA_STOCHRSI_Open __pyx_string_tab[2038] +#define __pyx_n_u_TA_STOCHRSI_OpenAndFill __pyx_string_tab[2039] +#define __pyx_n_u_TA_STOCHRSI_Peek __pyx_string_tab[2040] +#define __pyx_n_u_TA_STOCHRSI_Update __pyx_string_tab[2041] +#define __pyx_n_u_TA_STOCHRSI_Value __pyx_string_tab[2042] +#define __pyx_n_u_TA_STOCH_Clone __pyx_string_tab[2043] +#define __pyx_n_u_TA_STOCH_Open __pyx_string_tab[2044] +#define __pyx_n_u_TA_STOCH_OpenAndFill __pyx_string_tab[2045] +#define __pyx_n_u_TA_STOCH_Peek __pyx_string_tab[2046] +#define __pyx_n_u_TA_STOCH_Update __pyx_string_tab[2047] +#define __pyx_n_u_TA_STOCH_Value __pyx_string_tab[2048] +#define __pyx_n_u_TA_SUB __pyx_string_tab[2049] +#define __pyx_n_u_TA_SUB_Clone __pyx_string_tab[2050] +#define __pyx_n_u_TA_SUB_Open __pyx_string_tab[2051] +#define __pyx_n_u_TA_SUB_OpenAndFill __pyx_string_tab[2052] +#define __pyx_n_u_TA_SUB_Peek __pyx_string_tab[2053] +#define __pyx_n_u_TA_SUB_Update __pyx_string_tab[2054] +#define __pyx_n_u_TA_SUB_Value __pyx_string_tab[2055] +#define __pyx_n_u_TA_SUM __pyx_string_tab[2056] +#define __pyx_n_u_TA_SUM_Clone __pyx_string_tab[2057] +#define __pyx_n_u_TA_SUM_Open __pyx_string_tab[2058] +#define __pyx_n_u_TA_SUM_OpenAndFill __pyx_string_tab[2059] +#define __pyx_n_u_TA_SUM_Peek __pyx_string_tab[2060] +#define __pyx_n_u_TA_SUM_Update __pyx_string_tab[2061] +#define __pyx_n_u_TA_SUM_Value __pyx_string_tab[2062] +#define __pyx_n_u_TA_SUPERTREND __pyx_string_tab[2063] +#define __pyx_n_u_TA_SUPERTREND_Clone __pyx_string_tab[2064] +#define __pyx_n_u_TA_SUPERTREND_Open __pyx_string_tab[2065] +#define __pyx_n_u_TA_SUPERTREND_OpenAndFill __pyx_string_tab[2066] +#define __pyx_n_u_TA_SUPERTREND_Peek __pyx_string_tab[2067] +#define __pyx_n_u_TA_SUPERTREND_Update __pyx_string_tab[2068] +#define __pyx_n_u_TA_SUPERTREND_Value __pyx_string_tab[2069] +#define __pyx_n_u_TA_SetCandleSettings __pyx_string_tab[2070] +#define __pyx_n_u_TA_SetCompatibility __pyx_string_tab[2071] +#define __pyx_n_u_TA_SetOptInputParamInteger __pyx_string_tab[2072] +#define __pyx_n_u_TA_SetOptInputParamReal __pyx_string_tab[2073] +#define __pyx_n_u_TA_SetUnstablePeriod __pyx_string_tab[2074] +#define __pyx_n_u_TA_Shutdown __pyx_string_tab[2075] +#define __pyx_n_u_TA_T3 __pyx_string_tab[2076] +#define __pyx_n_u_TA_T3_Clone __pyx_string_tab[2077] +#define __pyx_n_u_TA_T3_Open __pyx_string_tab[2078] +#define __pyx_n_u_TA_T3_OpenAndFill __pyx_string_tab[2079] +#define __pyx_n_u_TA_T3_Peek __pyx_string_tab[2080] +#define __pyx_n_u_TA_T3_Update __pyx_string_tab[2081] +#define __pyx_n_u_TA_T3_Value __pyx_string_tab[2082] +#define __pyx_n_u_TA_TAN __pyx_string_tab[2083] +#define __pyx_n_u_TA_TANH __pyx_string_tab[2084] +#define __pyx_n_u_TA_TANH_Clone __pyx_string_tab[2085] +#define __pyx_n_u_TA_TANH_Open __pyx_string_tab[2086] +#define __pyx_n_u_TA_TANH_OpenAndFill __pyx_string_tab[2087] +#define __pyx_n_u_TA_TANH_Peek __pyx_string_tab[2088] +#define __pyx_n_u_TA_TANH_Update __pyx_string_tab[2089] +#define __pyx_n_u_TA_TANH_Value __pyx_string_tab[2090] +#define __pyx_n_u_TA_TAN_Clone __pyx_string_tab[2091] +#define __pyx_n_u_TA_TAN_Open __pyx_string_tab[2092] +#define __pyx_n_u_TA_TAN_OpenAndFill __pyx_string_tab[2093] +#define __pyx_n_u_TA_TAN_Peek __pyx_string_tab[2094] +#define __pyx_n_u_TA_TAN_Update __pyx_string_tab[2095] +#define __pyx_n_u_TA_TAN_Value __pyx_string_tab[2096] +#define __pyx_n_u_TA_TEMA __pyx_string_tab[2097] +#define __pyx_n_u_TA_TEMA_Clone __pyx_string_tab[2098] +#define __pyx_n_u_TA_TEMA_Open __pyx_string_tab[2099] +#define __pyx_n_u_TA_TEMA_OpenAndFill __pyx_string_tab[2100] +#define __pyx_n_u_TA_TEMA_Peek __pyx_string_tab[2101] +#define __pyx_n_u_TA_TEMA_Update __pyx_string_tab[2102] +#define __pyx_n_u_TA_TEMA_Value __pyx_string_tab[2103] +#define __pyx_n_u_TA_TRANGE __pyx_string_tab[2104] +#define __pyx_n_u_TA_TRANGE_Clone __pyx_string_tab[2105] +#define __pyx_n_u_TA_TRANGE_Open __pyx_string_tab[2106] +#define __pyx_n_u_TA_TRANGE_OpenAndFill __pyx_string_tab[2107] +#define __pyx_n_u_TA_TRANGE_Peek __pyx_string_tab[2108] +#define __pyx_n_u_TA_TRANGE_Update __pyx_string_tab[2109] +#define __pyx_n_u_TA_TRANGE_Value __pyx_string_tab[2110] +#define __pyx_n_u_TA_TRIMA __pyx_string_tab[2111] +#define __pyx_n_u_TA_TRIMA_Clone __pyx_string_tab[2112] +#define __pyx_n_u_TA_TRIMA_Open __pyx_string_tab[2113] +#define __pyx_n_u_TA_TRIMA_OpenAndFill __pyx_string_tab[2114] +#define __pyx_n_u_TA_TRIMA_Peek __pyx_string_tab[2115] +#define __pyx_n_u_TA_TRIMA_Update __pyx_string_tab[2116] +#define __pyx_n_u_TA_TRIMA_Value __pyx_string_tab[2117] +#define __pyx_n_u_TA_TRIX __pyx_string_tab[2118] +#define __pyx_n_u_TA_TRIX_Clone __pyx_string_tab[2119] +#define __pyx_n_u_TA_TRIX_Open __pyx_string_tab[2120] +#define __pyx_n_u_TA_TRIX_OpenAndFill __pyx_string_tab[2121] +#define __pyx_n_u_TA_TRIX_Peek __pyx_string_tab[2122] +#define __pyx_n_u_TA_TRIX_Update __pyx_string_tab[2123] +#define __pyx_n_u_TA_TRIX_Value __pyx_string_tab[2124] +#define __pyx_n_u_TA_TSF __pyx_string_tab[2125] +#define __pyx_n_u_TA_TSF_Clone __pyx_string_tab[2126] +#define __pyx_n_u_TA_TSF_Open __pyx_string_tab[2127] +#define __pyx_n_u_TA_TSF_OpenAndFill __pyx_string_tab[2128] +#define __pyx_n_u_TA_TSF_Peek __pyx_string_tab[2129] +#define __pyx_n_u_TA_TSF_Update __pyx_string_tab[2130] +#define __pyx_n_u_TA_TSF_Value __pyx_string_tab[2131] +#define __pyx_n_u_TA_TSI __pyx_string_tab[2132] +#define __pyx_n_u_TA_TSI_Clone __pyx_string_tab[2133] +#define __pyx_n_u_TA_TSI_Open __pyx_string_tab[2134] +#define __pyx_n_u_TA_TSI_OpenAndFill __pyx_string_tab[2135] +#define __pyx_n_u_TA_TSI_Peek __pyx_string_tab[2136] +#define __pyx_n_u_TA_TSI_Update __pyx_string_tab[2137] +#define __pyx_n_u_TA_TSI_Value __pyx_string_tab[2138] +#define __pyx_n_u_TA_TYPPRICE __pyx_string_tab[2139] +#define __pyx_n_u_TA_TYPPRICE_Clone __pyx_string_tab[2140] +#define __pyx_n_u_TA_TYPPRICE_Open __pyx_string_tab[2141] +#define __pyx_n_u_TA_TYPPRICE_OpenAndFill __pyx_string_tab[2142] +#define __pyx_n_u_TA_TYPPRICE_Peek __pyx_string_tab[2143] +#define __pyx_n_u_TA_TYPPRICE_Update __pyx_string_tab[2144] +#define __pyx_n_u_TA_TYPPRICE_Value __pyx_string_tab[2145] +#define __pyx_n_u_TA_ULTOSC __pyx_string_tab[2146] +#define __pyx_n_u_TA_ULTOSC_Clone __pyx_string_tab[2147] +#define __pyx_n_u_TA_ULTOSC_Open __pyx_string_tab[2148] +#define __pyx_n_u_TA_ULTOSC_OpenAndFill __pyx_string_tab[2149] +#define __pyx_n_u_TA_ULTOSC_Peek __pyx_string_tab[2150] +#define __pyx_n_u_TA_ULTOSC_Update __pyx_string_tab[2151] +#define __pyx_n_u_TA_ULTOSC_Value __pyx_string_tab[2152] +#define __pyx_n_u_TA_VAR __pyx_string_tab[2153] +#define __pyx_n_u_TA_VAR_Clone __pyx_string_tab[2154] +#define __pyx_n_u_TA_VAR_Open __pyx_string_tab[2155] +#define __pyx_n_u_TA_VAR_OpenAndFill __pyx_string_tab[2156] +#define __pyx_n_u_TA_VAR_Peek __pyx_string_tab[2157] +#define __pyx_n_u_TA_VAR_Update __pyx_string_tab[2158] +#define __pyx_n_u_TA_VAR_Value __pyx_string_tab[2159] +#define __pyx_n_u_TA_VHF __pyx_string_tab[2160] +#define __pyx_n_u_TA_VHF_Clone __pyx_string_tab[2161] +#define __pyx_n_u_TA_VHF_Open __pyx_string_tab[2162] +#define __pyx_n_u_TA_VHF_OpenAndFill __pyx_string_tab[2163] +#define __pyx_n_u_TA_VHF_Peek __pyx_string_tab[2164] +#define __pyx_n_u_TA_VHF_Update __pyx_string_tab[2165] +#define __pyx_n_u_TA_VHF_Value __pyx_string_tab[2166] +#define __pyx_n_u_TA_VORTEX __pyx_string_tab[2167] +#define __pyx_n_u_TA_VORTEX_Clone __pyx_string_tab[2168] +#define __pyx_n_u_TA_VORTEX_Open __pyx_string_tab[2169] +#define __pyx_n_u_TA_VORTEX_OpenAndFill __pyx_string_tab[2170] +#define __pyx_n_u_TA_VORTEX_Peek __pyx_string_tab[2171] +#define __pyx_n_u_TA_VORTEX_Update __pyx_string_tab[2172] +#define __pyx_n_u_TA_VORTEX_Value __pyx_string_tab[2173] +#define __pyx_n_u_TA_VWAP __pyx_string_tab[2174] +#define __pyx_n_u_TA_VWAP_Clone __pyx_string_tab[2175] +#define __pyx_n_u_TA_VWAP_Open __pyx_string_tab[2176] +#define __pyx_n_u_TA_VWAP_OpenAndFill __pyx_string_tab[2177] +#define __pyx_n_u_TA_VWAP_Peek __pyx_string_tab[2178] +#define __pyx_n_u_TA_VWAP_Update __pyx_string_tab[2179] +#define __pyx_n_u_TA_VWAP_Value __pyx_string_tab[2180] +#define __pyx_n_u_TA_VWMA __pyx_string_tab[2181] +#define __pyx_n_u_TA_VWMA_Clone __pyx_string_tab[2182] +#define __pyx_n_u_TA_VWMA_Open __pyx_string_tab[2183] +#define __pyx_n_u_TA_VWMA_OpenAndFill __pyx_string_tab[2184] +#define __pyx_n_u_TA_VWMA_Peek __pyx_string_tab[2185] +#define __pyx_n_u_TA_VWMA_Update __pyx_string_tab[2186] +#define __pyx_n_u_TA_VWMA_Value __pyx_string_tab[2187] +#define __pyx_n_u_TA_WAD __pyx_string_tab[2188] +#define __pyx_n_u_TA_WAD_Clone __pyx_string_tab[2189] +#define __pyx_n_u_TA_WAD_Open __pyx_string_tab[2190] +#define __pyx_n_u_TA_WAD_OpenAndFill __pyx_string_tab[2191] +#define __pyx_n_u_TA_WAD_Peek __pyx_string_tab[2192] +#define __pyx_n_u_TA_WAD_Update __pyx_string_tab[2193] +#define __pyx_n_u_TA_WAD_Value __pyx_string_tab[2194] +#define __pyx_n_u_TA_WCLPRICE __pyx_string_tab[2195] +#define __pyx_n_u_TA_WCLPRICE_Clone __pyx_string_tab[2196] +#define __pyx_n_u_TA_WCLPRICE_Open __pyx_string_tab[2197] +#define __pyx_n_u_TA_WCLPRICE_OpenAndFill __pyx_string_tab[2198] +#define __pyx_n_u_TA_WCLPRICE_Peek __pyx_string_tab[2199] +#define __pyx_n_u_TA_WCLPRICE_Update __pyx_string_tab[2200] +#define __pyx_n_u_TA_WCLPRICE_Value __pyx_string_tab[2201] +#define __pyx_n_u_TA_WILLR __pyx_string_tab[2202] +#define __pyx_n_u_TA_WILLR_Clone __pyx_string_tab[2203] +#define __pyx_n_u_TA_WILLR_Open __pyx_string_tab[2204] +#define __pyx_n_u_TA_WILLR_OpenAndFill __pyx_string_tab[2205] +#define __pyx_n_u_TA_WILLR_Peek __pyx_string_tab[2206] +#define __pyx_n_u_TA_WILLR_Update __pyx_string_tab[2207] +#define __pyx_n_u_TA_WILLR_Value __pyx_string_tab[2208] +#define __pyx_n_u_TA_WMA __pyx_string_tab[2209] +#define __pyx_n_u_TA_WMA_Clone __pyx_string_tab[2210] +#define __pyx_n_u_TA_WMA_Open __pyx_string_tab[2211] +#define __pyx_n_u_TA_WMA_OpenAndFill __pyx_string_tab[2212] +#define __pyx_n_u_TA_WMA_Peek __pyx_string_tab[2213] +#define __pyx_n_u_TA_WMA_Update __pyx_string_tab[2214] +#define __pyx_n_u_TA_WMA_Value __pyx_string_tab[2215] +#define __pyx_n_u_TA_ZLEMA __pyx_string_tab[2216] +#define __pyx_n_u_TA_ZLEMA_Clone __pyx_string_tab[2217] +#define __pyx_n_u_TA_ZLEMA_Open __pyx_string_tab[2218] +#define __pyx_n_u_TA_ZLEMA_OpenAndFill __pyx_string_tab[2219] +#define __pyx_n_u_TA_ZLEMA_Peek __pyx_string_tab[2220] +#define __pyx_n_u_TA_ZLEMA_Update __pyx_string_tab[2221] +#define __pyx_n_u_TA_ZLEMA_Value __pyx_string_tab[2222] +#define __pyx_n_u_TEMA __pyx_string_tab[2223] +#define __pyx_n_u_TEMA_Stream __pyx_string_tab[2224] +#define __pyx_n_u_TEMA_Stream_open_and_fill __pyx_string_tab[2225] +#define __pyx_n_u_TRANGE __pyx_string_tab[2226] +#define __pyx_n_u_TRANGE_Stream __pyx_string_tab[2227] +#define __pyx_n_u_TRANGE_Stream_open_and_fill __pyx_string_tab[2228] +#define __pyx_n_u_TRIMA __pyx_string_tab[2229] +#define __pyx_n_u_TRIMA_Stream __pyx_string_tab[2230] +#define __pyx_n_u_TRIMA_Stream_open_and_fill __pyx_string_tab[2231] +#define __pyx_n_u_TRIX __pyx_string_tab[2232] +#define __pyx_n_u_TRIX_Stream __pyx_string_tab[2233] +#define __pyx_n_u_TRIX_Stream_open_and_fill __pyx_string_tab[2234] +#define __pyx_n_u_TSF __pyx_string_tab[2235] +#define __pyx_n_u_TSF_Stream __pyx_string_tab[2236] +#define __pyx_n_u_TSF_Stream_open_and_fill __pyx_string_tab[2237] +#define __pyx_n_u_TSI __pyx_string_tab[2238] +#define __pyx_n_u_TSI_Stream __pyx_string_tab[2239] +#define __pyx_n_u_TSI_Stream_open_and_fill __pyx_string_tab[2240] +#define __pyx_n_u_TYPPRICE __pyx_string_tab[2241] +#define __pyx_n_u_TYPPRICE_Stream __pyx_string_tab[2242] +#define __pyx_n_u_TYPPRICE_Stream_open_and_fill __pyx_string_tab[2243] +#define __pyx_n_u_ULTOSC __pyx_string_tab[2244] +#define __pyx_n_u_ULTOSC_Stream __pyx_string_tab[2245] +#define __pyx_n_u_ULTOSC_Stream_open_and_fill __pyx_string_tab[2246] +#define __pyx_n_u_VAR __pyx_string_tab[2247] +#define __pyx_n_u_VAR_Stream __pyx_string_tab[2248] +#define __pyx_n_u_VAR_Stream_open_and_fill __pyx_string_tab[2249] +#define __pyx_n_u_VHF __pyx_string_tab[2250] +#define __pyx_n_u_VHF_Stream __pyx_string_tab[2251] +#define __pyx_n_u_VHF_Stream_open_and_fill __pyx_string_tab[2252] +#define __pyx_n_u_VORTEX __pyx_string_tab[2253] +#define __pyx_n_u_VORTEX_Stream __pyx_string_tab[2254] +#define __pyx_n_u_VORTEX_Stream_open_and_fill __pyx_string_tab[2255] +#define __pyx_n_u_VORTEX_Value __pyx_string_tab[2256] +#define __pyx_n_u_VWAP __pyx_string_tab[2257] +#define __pyx_n_u_VWAP_Stream __pyx_string_tab[2258] +#define __pyx_n_u_VWAP_Stream_open_and_fill __pyx_string_tab[2259] +#define __pyx_n_u_VWMA __pyx_string_tab[2260] +#define __pyx_n_u_VWMA_Stream __pyx_string_tab[2261] +#define __pyx_n_u_VWMA_Stream_open_and_fill __pyx_string_tab[2262] +#define __pyx_n_u_WAD __pyx_string_tab[2263] +#define __pyx_n_u_WAD_Stream __pyx_string_tab[2264] +#define __pyx_n_u_WAD_Stream_open_and_fill __pyx_string_tab[2265] +#define __pyx_n_u_WCLPRICE __pyx_string_tab[2266] +#define __pyx_n_u_WCLPRICE_Stream __pyx_string_tab[2267] +#define __pyx_n_u_WCLPRICE_Stream_open_and_fill __pyx_string_tab[2268] +#define __pyx_n_u_WILLR __pyx_string_tab[2269] +#define __pyx_n_u_WILLR_Stream __pyx_string_tab[2270] +#define __pyx_n_u_WILLR_Stream_open_and_fill __pyx_string_tab[2271] +#define __pyx_n_u_WMA __pyx_string_tab[2272] +#define __pyx_n_u_WMA_Stream __pyx_string_tab[2273] +#define __pyx_n_u_WMA_Stream_open_and_fill __pyx_string_tab[2274] +#define __pyx_n_u_ZLEMA __pyx_string_tab[2275] +#define __pyx_n_u_ZLEMA_Stream __pyx_string_tab[2276] +#define __pyx_n_u_ZLEMA_Stream_open_and_fill __pyx_string_tab[2277] +#define __pyx_n_u_a_close __pyx_string_tab[2278] +#define __pyx_n_u_a_high __pyx_string_tab[2279] +#define __pyx_n_u_a_low __pyx_string_tab[2280] +#define __pyx_n_u_a_open __pyx_string_tab[2281] +#define __pyx_n_u_a_periods __pyx_string_tab[2282] +#define __pyx_n_u_a_real __pyx_string_tab[2283] +#define __pyx_n_u_a_real0 __pyx_string_tab[2284] +#define __pyx_n_u_a_real1 __pyx_string_tab[2285] +#define __pyx_n_u_a_volume __pyx_string_tab[2286] +#define __pyx_n_u_acceleration __pyx_string_tab[2287] +#define __pyx_n_u_accelerationinitlong __pyx_string_tab[2288] +#define __pyx_n_u_accelerationinitshort __pyx_string_tab[2289] +#define __pyx_n_u_accelerationlong __pyx_string_tab[2290] +#define __pyx_n_u_accelerationmaxlong __pyx_string_tab[2291] +#define __pyx_n_u_accelerationmaxshort __pyx_string_tab[2292] +#define __pyx_n_u_accelerationshort __pyx_string_tab[2293] +#define __pyx_n_u_all __pyx_string_tab[2294] +#define __pyx_n_u_annotate __pyx_string_tab[2295] +#define __pyx_n_u_append __pyx_string_tab[2296] +#define __pyx_n_u_arg __pyx_string_tab[2297] +#define __pyx_n_u_args __pyx_string_tab[2298] +#define __pyx_n_u_arrays __pyx_string_tab[2299] +#define __pyx_n_u_ascii __pyx_string_tab[2300] +#define __pyx_n_u_astype __pyx_string_tab[2301] +#define __pyx_n_u_asyncio_coroutines __pyx_string_tab[2302] +#define __pyx_n_u_atrperiod __pyx_string_tab[2303] +#define __pyx_n_u_avgperiod __pyx_string_tab[2304] +#define __pyx_n_u_b __pyx_string_tab[2305] +#define __pyx_n_u_begidx __pyx_string_tab[2306] +#define __pyx_n_u_bit __pyx_string_tab[2307] +#define __pyx_n_u_bytes2str __pyx_string_tab[2308] +#define __pyx_n_u_call __pyx_string_tab[2309] +#define __pyx_n_u_call_function __pyx_string_tab[2310] +#define __pyx_n_u_candlestick __pyx_string_tab[2311] +#define __pyx_n_u_check_opt_input_value __pyx_string_tab[2312] +#define __pyx_n_u_class_getitem __pyx_string_tab[2313] +#define __pyx_n_u_cline_in_traceback __pyx_string_tab[2314] +#define __pyx_n_u_clone __pyx_string_tab[2315] +#define __pyx_n_u_close __pyx_string_tab[2316] +#define __pyx_n_u_collections __pyx_string_tab[2317] +#define __pyx_n_u_column_stack __pyx_string_tab[2318] +#define __pyx_n_u_columns __pyx_string_tab[2319] +#define __pyx_n_u_copy __pyx_string_tab[2320] +#define __pyx_n_u_copy_2 __pyx_string_tab[2321] +#define __pyx_n_u_d __pyx_string_tab[2322] +#define __pyx_n_u_decode __pyx_string_tab[2323] +#define __pyx_n_u_deepcopy __pyx_string_tab[2324] +#define __pyx_n_u_default_value __pyx_string_tab[2325] +#define __pyx_n_u_defaults __pyx_string_tab[2326] +#define __pyx_n_u_description __pyx_string_tab[2327] +#define __pyx_n_u_dict __pyx_string_tab[2328] +#define __pyx_n_u_display_name __pyx_string_tab[2329] +#define __pyx_n_u_doc __pyx_string_tab[2330] +#define __pyx_n_u_docs __pyx_string_tab[2331] +#define __pyx_n_u_documentation __pyx_string_tab[2332] +#define __pyx_n_u_empty __pyx_string_tab[2333] +#define __pyx_n_u_endidx __pyx_string_tab[2334] +#define __pyx_n_u_endswith __pyx_string_tab[2335] +#define __pyx_n_u_enumerate __pyx_string_tab[2336] +#define __pyx_n_u_factor __pyx_string_tab[2337] +#define __pyx_n_u_fastd_matype __pyx_string_tab[2338] +#define __pyx_n_u_fastd_period __pyx_string_tab[2339] +#define __pyx_n_u_fastk_period __pyx_string_tab[2340] +#define __pyx_n_u_fastlimit __pyx_string_tab[2341] +#define __pyx_n_u_fastmatype __pyx_string_tab[2342] +#define __pyx_n_u_fastperiod __pyx_string_tab[2343] +#define __pyx_n_u_firstperiod __pyx_string_tab[2344] +#define __pyx_n_u_flag __pyx_string_tab[2345] +#define __pyx_n_u_flags __pyx_string_tab[2346] +#define __pyx_n_u_flags_lookup_dict __pyx_string_tab[2347] +#define __pyx_n_u_func __pyx_string_tab[2348] +#define __pyx_n_u_func_args __pyx_string_tab[2349] +#define __pyx_n_u_func_info __pyx_string_tab[2350] +#define __pyx_n_u_func_line __pyx_string_tab[2351] +#define __pyx_n_u_func_object __pyx_string_tab[2352] +#define __pyx_n_u_function_flags __pyx_string_tab[2353] +#define __pyx_n_u_function_name __pyx_string_tab[2354] +#define __pyx_n_u_functions __pyx_string_tab[2355] +#define __pyx_n_u_get_defaults_and_docs __pyx_string_tab[2356] +#define __pyx_n_u_get_flags __pyx_string_tab[2357] +#define __pyx_n_u_get_input_arrays __pyx_string_tab[2358] +#define __pyx_n_u_get_input_names __pyx_string_tab[2359] +#define __pyx_n_u_get_opt_input_value __pyx_string_tab[2360] +#define __pyx_n_u_get_parameters __pyx_string_tab[2361] +#define __pyx_n_u_getitem __pyx_string_tab[2362] +#define __pyx_n_u_group __pyx_string_tab[2363] +#define __pyx_n_u_groups __pyx_string_tab[2364] +#define __pyx_n_u_handle __pyx_string_tab[2365] +#define __pyx_n_u_help __pyx_string_tab[2366] +#define __pyx_n_u_high __pyx_string_tab[2367] +#define __pyx_n_u_historylen __pyx_string_tab[2368] +#define __pyx_n_u_holder __pyx_string_tab[2369] +#define __pyx_n_u_i __pyx_string_tab[2370] +#define __pyx_n_u_id __pyx_string_tab[2371] +#define __pyx_n_u_idx __pyx_string_tab[2372] +#define __pyx_n_u_import_error __pyx_string_tab[2373] +#define __pyx_n_u_in __pyx_string_tab[2374] +#define __pyx_n_u_index __pyx_string_tab[2375] +#define __pyx_n_u_info __pyx_string_tab[2376] +#define __pyx_n_u_init __pyx_string_tab[2377] +#define __pyx_n_u_input_arrays __pyx_string_tab[2378] +#define __pyx_n_u_input_name __pyx_string_tab[2379] +#define __pyx_n_u_input_names __pyx_string_tab[2380] +#define __pyx_n_u_input_price_series_names __pyx_string_tab[2381] +#define __pyx_n_u_input_price_series_names_2 __pyx_string_tab[2382] +#define __pyx_n_u_integer __pyx_string_tab[2383] +#define __pyx_n_u_is_coroutine __pyx_string_tab[2384] +#define __pyx_n_u_is_empty __pyx_string_tab[2385] +#define __pyx_n_u_items __pyx_string_tab[2386] +#define __pyx_n_u_key __pyx_string_tab[2387] +#define __pyx_n_u_keys __pyx_string_tab[2388] +#define __pyx_n_u_kwargs __pyx_string_tab[2389] +#define __pyx_n_u_leftbars __pyx_string_tab[2390] +#define __pyx_n_u_length __pyx_string_tab[2391] +#define __pyx_n_u_local __pyx_string_tab[2392] +#define __pyx_n_u_local_2 __pyx_string_tab[2393] +#define __pyx_n_u_lookback __pyx_string_tab[2394] +#define __pyx_n_u_lookup __pyx_string_tab[2395] +#define __pyx_n_u_low __pyx_string_tab[2396] +#define __pyx_n_u_lower __pyx_string_tab[2397] +#define __pyx_n_u_main __pyx_string_tab[2398] +#define __pyx_n_u_matype __pyx_string_tab[2399] +#define __pyx_n_u_maximum __pyx_string_tab[2400] +#define __pyx_n_u_maxperiod __pyx_string_tab[2401] +#define __pyx_n_u_memo __pyx_string_tab[2402] +#define __pyx_n_u_metaclass __pyx_string_tab[2403] +#define __pyx_n_u_minperiod __pyx_string_tab[2404] +#define __pyx_n_u_missing __pyx_string_tab[2405] +#define __pyx_n_u_missing_keys __pyx_string_tab[2406] +#define __pyx_n_u_module __pyx_string_tab[2407] +#define __pyx_n_u_module_2 __pyx_string_tab[2408] +#define __pyx_n_u_mro_entries __pyx_string_tab[2409] +#define __pyx_n_u_msg __pyx_string_tab[2410] +#define __pyx_n_u_multiplier __pyx_string_tab[2411] +#define __pyx_n_u_n __pyx_string_tab[2412] +#define __pyx_n_u_name __pyx_string_tab[2413] +#define __pyx_n_u_name_2 __pyx_string_tab[2414] +#define __pyx_n_u_namedtuple __pyx_string_tab[2415] +#define __pyx_n_u_nan __pyx_string_tab[2416] +#define __pyx_n_u_nbdev __pyx_string_tab[2417] +#define __pyx_n_u_nbdevdn __pyx_string_tab[2418] +#define __pyx_n_u_nbdevup __pyx_string_tab[2419] +#define __pyx_n_u_new __pyx_string_tab[2420] +#define __pyx_n_u_no_existing_input_arrays __pyx_string_tab[2421] +#define __pyx_n_u_num_inputs __pyx_string_tab[2422] +#define __pyx_n_u_num_opt_inputs __pyx_string_tab[2423] +#define __pyx_n_u_num_outputs __pyx_string_tab[2424] +#define __pyx_n_u_numpy __pyx_string_tab[2425] +#define __pyx_n_u_object __pyx_string_tab[2426] +#define __pyx_n_u_offsetonreverse __pyx_string_tab[2427] +#define __pyx_n_u_open __pyx_string_tab[2428] +#define __pyx_n_u_openInterest __pyx_string_tab[2429] +#define __pyx_n_u_open_and_fill __pyx_string_tab[2430] +#define __pyx_n_u_optIn __pyx_string_tab[2431] +#define __pyx_n_u_opt_input __pyx_string_tab[2432] +#define __pyx_n_u_opt_input_values __pyx_string_tab[2433] +#define __pyx_n_u_opt_inputs __pyx_string_tab[2434] +#define __pyx_n_u_ordereddict __pyx_string_tab[2435] +#define __pyx_n_u_out __pyx_string_tab[2436] +#define __pyx_n_u_outaroondown __pyx_string_tab[2437] +#define __pyx_n_u_outaroonup __pyx_string_tab[2438] +#define __pyx_n_u_outbearpower __pyx_string_tab[2439] +#define __pyx_n_u_outbegidx __pyx_string_tab[2440] +#define __pyx_n_u_outbullpower __pyx_string_tab[2441] +#define __pyx_n_u_outd __pyx_string_tab[2442] +#define __pyx_n_u_outfama __pyx_string_tab[2443] +#define __pyx_n_u_outfastd __pyx_string_tab[2444] +#define __pyx_n_u_outfastk __pyx_string_tab[2445] +#define __pyx_n_u_outhaclose __pyx_string_tab[2446] +#define __pyx_n_u_outhahigh __pyx_string_tab[2447] +#define __pyx_n_u_outhalow __pyx_string_tab[2448] +#define __pyx_n_u_outhaopen __pyx_string_tab[2449] +#define __pyx_n_u_outinphase __pyx_string_tab[2450] +#define __pyx_n_u_outinteger __pyx_string_tab[2451] +#define __pyx_n_u_outinteger_data __pyx_string_tab[2452] +#define __pyx_n_u_outj __pyx_string_tab[2453] +#define __pyx_n_u_outk __pyx_string_tab[2454] +#define __pyx_n_u_outleadsine __pyx_string_tab[2455] +#define __pyx_n_u_outlowerband __pyx_string_tab[2456] +#define __pyx_n_u_outmacd __pyx_string_tab[2457] +#define __pyx_n_u_outmacdhist __pyx_string_tab[2458] +#define __pyx_n_u_outmacdsignal __pyx_string_tab[2459] +#define __pyx_n_u_outmama __pyx_string_tab[2460] +#define __pyx_n_u_outmax __pyx_string_tab[2461] +#define __pyx_n_u_outmaxidx __pyx_string_tab[2462] +#define __pyx_n_u_outmaxidx_data __pyx_string_tab[2463] +#define __pyx_n_u_outmiddleband __pyx_string_tab[2464] +#define __pyx_n_u_outmin __pyx_string_tab[2465] +#define __pyx_n_u_outminidx __pyx_string_tab[2466] +#define __pyx_n_u_outminidx_data __pyx_string_tab[2467] +#define __pyx_n_u_outminusvi __pyx_string_tab[2468] +#define __pyx_n_u_outnbelement __pyx_string_tab[2469] +#define __pyx_n_u_outplusvi __pyx_string_tab[2470] +#define __pyx_n_u_output __pyx_string_tab[2471] +#define __pyx_n_u_output_flags __pyx_string_tab[2472] +#define __pyx_n_u_output_name __pyx_string_tab[2473] +#define __pyx_n_u_output_names __pyx_string_tab[2474] +#define __pyx_n_u_outputs __pyx_string_tab[2475] +#define __pyx_n_u_outputs_valid __pyx_string_tab[2476] +#define __pyx_n_u_outquadrature __pyx_string_tab[2477] +#define __pyx_n_u_outreal __pyx_string_tab[2478] +#define __pyx_n_u_outreallowerband __pyx_string_tab[2479] +#define __pyx_n_u_outrealmiddleband __pyx_string_tab[2480] +#define __pyx_n_u_outrealupperband __pyx_string_tab[2481] +#define __pyx_n_u_outsine __pyx_string_tab[2482] +#define __pyx_n_u_outslowd __pyx_string_tab[2483] +#define __pyx_n_u_outslowk __pyx_string_tab[2484] +#define __pyx_n_u_outsmi __pyx_string_tab[2485] +#define __pyx_n_u_outsmisignal __pyx_string_tab[2486] +#define __pyx_n_u_outswinghigh __pyx_string_tab[2487] +#define __pyx_n_u_outswinglow __pyx_string_tab[2488] +#define __pyx_n_u_outupperband __pyx_string_tab[2489] +#define __pyx_n_u_pandas __pyx_string_tab[2490] +#define __pyx_n_u_param __pyx_string_tab[2491] +#define __pyx_n_u_param_name __pyx_string_tab[2492] +#define __pyx_n_u_parameters __pyx_string_tab[2493] +#define __pyx_n_u_params __pyx_string_tab[2494] +#define __pyx_n_u_penetration __pyx_string_tab[2495] +#define __pyx_n_u_percentile __pyx_string_tab[2496] +#define __pyx_n_u_period __pyx_string_tab[2497] +#define __pyx_n_u_periods __pyx_string_tab[2498] +#define __pyx_n_u_polars __pyx_string_tab[2499] +#define __pyx_n_u_pop __pyx_string_tab[2500] +#define __pyx_n_u_prepare __pyx_string_tab[2501] +#define __pyx_n_u_price __pyx_string_tab[2502] +#define __pyx_n_u_price0 __pyx_string_tab[2503] +#define __pyx_n_u_price1 __pyx_string_tab[2504] +#define __pyx_n_u_price_series __pyx_string_tab[2505] +#define __pyx_n_u_price_series_name_values __pyx_string_tab[2506] +#define __pyx_n_u_prices __pyx_string_tab[2507] +#define __pyx_n_u_property __pyx_string_tab[2508] +#define __pyx_n_u_pyx_vtable __pyx_string_tab[2509] +#define __pyx_n_u_qualname __pyx_string_tab[2510] +#define __pyx_n_u_rangetype __pyx_string_tab[2511] +#define __pyx_n_u_real __pyx_string_tab[2512] +#define __pyx_n_u_real0 __pyx_string_tab[2513] +#define __pyx_n_u_real1 __pyx_string_tab[2514] +#define __pyx_n_u_reduce __pyx_string_tab[2515] +#define __pyx_n_u_replace __pyx_string_tab[2516] +#define __pyx_n_u_repr __pyx_string_tab[2517] +#define __pyx_n_u_results __pyx_string_tab[2518] +#define __pyx_n_u_ret __pyx_string_tab[2519] +#define __pyx_n_u_retCode __pyx_string_tab[2520] +#define __pyx_n_u_ret_code __pyx_string_tab[2521] +#define __pyx_n_u_rightbars __pyx_string_tab[2522] +#define __pyx_n_u_roc1period __pyx_string_tab[2523] +#define __pyx_n_u_roc2period __pyx_string_tab[2524] +#define __pyx_n_u_rocperiod __pyx_string_tab[2525] +#define __pyx_n_u_run __pyx_string_tab[2526] +#define __pyx_n_u_s __pyx_string_tab[2527] +#define __pyx_n_u_schema __pyx_string_tab[2528] +#define __pyx_n_u_secondperiod __pyx_string_tab[2529] +#define __pyx_n_u_self __pyx_string_tab[2530] +#define __pyx_n_u_series __pyx_string_tab[2531] +#define __pyx_n_u_set_function_args __pyx_string_tab[2532] +#define __pyx_n_u_set_input_arrays __pyx_string_tab[2533] +#define __pyx_n_u_set_input_names __pyx_string_tab[2534] +#define __pyx_n_u_set_name __pyx_string_tab[2535] +#define __pyx_n_u_set_parameters __pyx_string_tab[2536] +#define __pyx_n_u_setdefault __pyx_string_tab[2537] +#define __pyx_n_u_settingtype __pyx_string_tab[2538] +#define __pyx_n_u_signalmatype __pyx_string_tab[2539] +#define __pyx_n_u_signalperiod __pyx_string_tab[2540] +#define __pyx_n_u_skip_first __pyx_string_tab[2541] +#define __pyx_n_u_slowd_matype __pyx_string_tab[2542] +#define __pyx_n_u_slowd_period __pyx_string_tab[2543] +#define __pyx_n_u_slowk_matype __pyx_string_tab[2544] +#define __pyx_n_u_slowk_period __pyx_string_tab[2545] +#define __pyx_n_u_slowlimit __pyx_string_tab[2546] +#define __pyx_n_u_slowmatype __pyx_string_tab[2547] +#define __pyx_n_u_slowperiod __pyx_string_tab[2548] +#define __pyx_n_u_stacklevel __pyx_string_tab[2549] +#define __pyx_n_u_startvalue __pyx_string_tab[2550] +#define __pyx_n_u_staticmethod __pyx_string_tab[2551] +#define __pyx_n_u_stddevperiod __pyx_string_tab[2552] +#define __pyx_n_u_str __pyx_string_tab[2553] +#define __pyx_n_u_str2bytes __pyx_string_tab[2554] +#define __pyx_n_u_stream __pyx_string_tab[2555] +#define __pyx_n_u_sys __pyx_string_tab[2556] +#define __pyx_n_u_ta_check_success __pyx_string_tab[2557] +#define __pyx_n_u_ta_func_unst_id __pyx_string_tab[2558] +#define __pyx_n_u_ta_func_unst_ids __pyx_string_tab[2559] +#define __pyx_n_u_ta_func_unst_retired __pyx_string_tab[2560] +#define __pyx_n_u_ta_getFuncInfo __pyx_string_tab[2561] +#define __pyx_n_u_ta_getFuncTable __pyx_string_tab[2562] +#define __pyx_n_u_ta_getGroupTable __pyx_string_tab[2563] +#define __pyx_n_u_ta_getInputParameterInfo __pyx_string_tab[2564] +#define __pyx_n_u_ta_getOptInputParameterInfo __pyx_string_tab[2565] +#define __pyx_n_u_ta_getOutputParameterInfo __pyx_string_tab[2566] +#define __pyx_n_u_ta_get_compatibility __pyx_string_tab[2567] +#define __pyx_n_u_ta_get_unstable_period __pyx_string_tab[2568] +#define __pyx_n_u_ta_initialize __pyx_string_tab[2569] +#define __pyx_n_u_ta_restore_candle_default_setti __pyx_string_tab[2570] +#define __pyx_n_u_ta_set_candle_settings __pyx_string_tab[2571] +#define __pyx_n_u_ta_set_compatibility __pyx_string_tab[2572] +#define __pyx_n_u_ta_set_unstable_period __pyx_string_tab[2573] +#define __pyx_n_u_ta_shutdown __pyx_string_tab[2574] +#define __pyx_n_u_ta_version __pyx_string_tab[2575] +#define __pyx_n_u_table __pyx_string_tab[2576] +#define __pyx_n_u_talib__ta_lib __pyx_string_tab[2577] +#define __pyx_n_u_test __pyx_string_tab[2578] +#define __pyx_n_u_threading __pyx_string_tab[2579] +#define __pyx_n_u_timeStamp __pyx_string_tab[2580] +#define __pyx_n_u_timeperiod __pyx_string_tab[2581] +#define __pyx_n_u_timeperiod1 __pyx_string_tab[2582] +#define __pyx_n_u_timeperiod2 __pyx_string_tab[2583] +#define __pyx_n_u_timeperiod3 __pyx_string_tab[2584] +#define __pyx_n_u_to_numpy __pyx_string_tab[2585] +#define __pyx_n_u_type __pyx_string_tab[2586] +#define __pyx_n_u_type_2 __pyx_string_tab[2587] +#define __pyx_n_u_unicode __pyx_string_tab[2588] +#define __pyx_n_u_unst_id __pyx_string_tab[2589] +#define __pyx_n_u_update __pyx_string_tab[2590] +#define __pyx_n_u_update_info __pyx_string_tab[2591] +#define __pyx_n_u_upper __pyx_string_tab[2592] +#define __pyx_n_u_value __pyx_string_tab[2593] +#define __pyx_n_u_values __pyx_string_tab[2594] +#define __pyx_n_u_version __pyx_string_tab[2595] +#define __pyx_n_u_vfactor __pyx_string_tab[2596] +#define __pyx_n_u_volume __pyx_string_tab[2597] +#define __pyx_n_u_warn __pyx_string_tab[2598] +#define __pyx_n_u_warnings __pyx_string_tab[2599] +#define __pyx_n_u_wmaperiod __pyx_string_tab[2600] +#define __pyx_kp_b_iso88591_01_aq_T_q_8_T_U_7_A_we_7r_q_Bd __pyx_string_tab[2601] +#define __pyx_kp_b_iso88591_1_1 __pyx_string_tab[2602] +#define __pyx_kp_b_iso88591_1_a_OuTUUV_Q_31_9AT_4q_1HF_wc_d __pyx_string_tab[2603] +#define __pyx_kp_b_iso88591_1_aq_T_q_8_T_U_7_A_we_M_q_r_Yk __pyx_string_tab[2604] +#define __pyx_kp_b_iso88591_1_aq_T_q_8_T_U_7_A_we_M_q_r_Yk_2 __pyx_string_tab[2605] +#define __pyx_kp_b_iso88591_2_1_Q_9 __pyx_string_tab[2606] +#define __pyx_kp_b_iso88591_2_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddn __pyx_string_tab[2607] +#define __pyx_kp_b_iso88591_314DAQ_Q_a_4q_a_Qd_c_a_Qd_s_4q __pyx_string_tab[2608] +#define __pyx_kp_b_iso88591_45_aq_T_q_8_T_U_7_A_we_2Q_q_i_f __pyx_string_tab[2609] +#define __pyx_kp_b_iso88591_A01_aq_Qa_XQ_aq_axq_oQha_G5_1_8 __pyx_string_tab[2610] +#define __pyx_kp_b_iso88591_A01_aq_Qa_XQ_aq_axq_oQha_G5_8_31 __pyx_string_tab[2611] +#define __pyx_kp_b_iso88591_A01_aq_Qa_XQ_aq_axq_oQha_G5_AQ_3 __pyx_string_tab[2612] +#define __pyx_kp_b_iso88591_A01_aq_Qa_XQ_aq_axq_oQha_G5_Qa_3 __pyx_string_tab[2613] +#define __pyx_kp_b_iso88591_A01_aq_Qa_XQ_aq_axq_oQha_G5_Qa_8 __pyx_string_tab[2614] +#define __pyx_kp_b_iso88591_A0Fa_aq_Qa_XQ_aq_axq_oQha_G5_8_Q __pyx_string_tab[2615] +#define __pyx_kp_b_iso88591_A0GG_a_aq_Qa_XQ_aq_axq_oQha_G5_q __pyx_string_tab[2616] +#define __pyx_kp_b_iso88591_A0Gq_aq_Qa_XQ_aq_axq_oQha_G5_q_3 __pyx_string_tab[2617] +#define __pyx_kp_b_iso88591_A0Gq_aq_Qa_XQ_aq_axq_oQha_G5_q_A __pyx_string_tab[2618] +#define __pyx_kp_b_iso88591_A23_aq_q_XQ_aq_axq_oQha_G5_1A_31 __pyx_string_tab[2619] +#define __pyx_kp_b_iso88591_A23_aq_q_XQ_aq_axq_oQha_G5_8_31H __pyx_string_tab[2620] +#define __pyx_kp_b_iso88591_A2_A_QnA_1_t_6a_gQ_d_Q_d_1_q_s_A __pyx_string_tab[2621] +#define __pyx_kp_b_iso88591_A34_aq_XQ_aq_axq_oQha_G5_9_31HA __pyx_string_tab[2622] +#define __pyx_kp_b_iso88591_A34_q_q_Ya_aq_axq_oQha_G5_1A_31H __pyx_string_tab[2623] +#define __pyx_kp_b_iso88591_A34_q_q_Ya_aq_axq_oQha_G5_9_31HA __pyx_string_tab[2624] +#define __pyx_kp_b_iso88591_A3II_aq_M_XQ_aq_axq_oQha_G5_9_PQ __pyx_string_tab[2625] +#define __pyx_kp_b_iso88591_A3QQt_u_T_T_v_v_Z_Z_z_z_aq_Qa_XQ __pyx_string_tab[2626] +#define __pyx_kp_b_iso88591_A45_q_Ya_aq_axq_oQha_G5_8_31HA_Q __pyx_string_tab[2627] +#define __pyx_kp_b_iso88591_A5J_aq_Qa_XQ_aq_axq_oQha_G5_8_q __pyx_string_tab[2628] +#define __pyx_kp_b_iso88591_A78_aq_Qa_q_XWA_aq_axq_oQha_G5_1 __pyx_string_tab[2629] +#define __pyx_kp_b_iso88591_A78_aq_Qa_q_XWA_aq_axq_oQha_G5_1_2 __pyx_string_tab[2630] +#define __pyx_kp_b_iso88591_A78_aq_Qa_q_XWA_aq_axq_oQha_G5_8 __pyx_string_tab[2631] +#define __pyx_kp_b_iso88591_A78_aq_Qa_q_XWA_aq_axq_oQha_G5_8_2 __pyx_string_tab[2632] +#define __pyx_kp_b_iso88591_A78_aq_Qa_q_XWA_aq_axq_oQha_G5_9 __pyx_string_tab[2633] +#define __pyx_kp_b_iso88591_A78_aq_Qa_q_XWA_aq_axq_oQha_G5_A __pyx_string_tab[2634] +#define __pyx_kp_b_iso88591_A78_aq_Qa_q_XWA_aq_axq_oQha_G5_Q __pyx_string_tab[2635] +#define __pyx_kp_b_iso88591_A78_aq_Qa_q_XWA_aq_axq_oQha_G5_Q_2 __pyx_string_tab[2636] +#define __pyx_kp_b_iso88591_A78_aq_Qa_q_XWA_aq_axq_oQha_G5_q __pyx_string_tab[2637] +#define __pyx_kp_b_iso88591_A7MMbbc_aq_Qa_q_XWA_aq_axq_oQha __pyx_string_tab[2638] +#define __pyx_kp_b_iso88591_A7NNee_aq_Qa_q_XWA_aq_axq_oQha_G __pyx_string_tab[2639] +#define __pyx_kp_b_iso88591_A7QQR_aq_Qa_q_XWA_aq_axq_oQha_G5 __pyx_string_tab[2640] +#define __pyx_kp_b_iso88591_A8PPhhi_aq_Qa_q_XWA_aq_axq_oQha __pyx_string_tab[2641] +#define __pyx_kp_b_iso88591_A9RRk_l_A_A_Z_Z_aq_Qa_q_XWA_aq_a __pyx_string_tab[2642] +#define __pyx_kp_b_iso88591_A9RRkk_Y_Y_Z_aq_Qa_q_XWA_aq_axq __pyx_string_tab[2643] +#define __pyx_kp_b_iso88591_A9RRkkl_aq_Qa_q_XWA_aq_axq_oQha __pyx_string_tab[2644] +#define __pyx_kp_b_iso88591_AAB_aq_aq_Qa_q_XXWA_aq_axq_oQha __pyx_string_tab[2645] +#define __pyx_kp_b_iso88591_AAB_aq_aq_Qa_q_XXWA_aq_axq_oQha_2 __pyx_string_tab[2646] +#define __pyx_kp_b_iso88591_AAB_aq_aq_Qa_q_XXWA_aq_axq_oQha_3 __pyx_string_tab[2647] +#define __pyx_kp_b_iso88591_AAB_aq_aq_Qa_q_XXWA_aq_axq_oQha_4 __pyx_string_tab[2648] +#define __pyx_kp_b_iso88591_AAB_aq_aq_Qa_q_XXWA_aq_axq_oQha_5 __pyx_string_tab[2649] +#define __pyx_kp_b_iso88591_AA_uuv0_aq_T_q_8_T_U_7_A_we_0_o __pyx_string_tab[2650] +#define __pyx_kp_b_iso88591_A_AAXXY_aq_Q_aq_axq_oQha_G5_A_TU __pyx_string_tab[2651] +#define __pyx_kp_b_iso88591_A_A_1_N_q_5_A_z_HA_G1A_q_q __pyx_string_tab[2652] +#define __pyx_kp_b_iso88591_A_A_2_k_Qa_e_e1_2S_AQ_U_t1A_q_4 __pyx_string_tab[2653] +#define __pyx_kp_b_iso88591_A_A_4_B_q_A_U_q_we1_axq_wgQa_Q_a __pyx_string_tab[2654] +#define __pyx_kp_b_iso88591_A_A_4uA_e87_4z_q_aq_gU_5_q_E_a_s __pyx_string_tab[2655] +#define __pyx_kp_b_iso88591_A_A_4wawa_1_Kq_Q_V1E_d_1_0_Ya_T __pyx_string_tab[2656] +#define __pyx_kp_b_iso88591_A_A_6_6_6_7_7_81_7_7_5_6_a_Q_81 __pyx_string_tab[2657] +#define __pyx_kp_b_iso88591_A_A_AQ_6_A_E_A_q __pyx_string_tab[2658] +#define __pyx_kp_b_iso88591_A_A_L_6_Qk_A_a_QnA_a __pyx_string_tab[2659] +#define __pyx_kp_b_iso88591_A_A_a_G1_t3e1_aq_4_q_Q_AT_V1A_S __pyx_string_tab[2660] +#define __pyx_kp_b_iso88591_A_A_at1_C_IQe1_D_aq_E_AZq_vV_2_V __pyx_string_tab[2661] +#define __pyx_kp_b_iso88591_A_A_gQ_5_q_5_V1_5_U __pyx_string_tab[2662] +#define __pyx_kp_b_iso88591_A_A_k_M_a_q_T_7q_q __pyx_string_tab[2663] +#define __pyx_kp_b_iso88591_A_A_k_N_q_q_e_q_1A_q __pyx_string_tab[2664] +#define __pyx_kp_b_iso88591_A_BBTTkk_Y_Y_Z_aq_Q_aq_axq_oQha __pyx_string_tab[2665] +#define __pyx_kp_b_iso88591_A_BBUUV_aq_Q_aq_axq_oQha_G5_8_QR __pyx_string_tab[2666] +#define __pyx_kp_b_iso88591_A_BBXXjjk_aq_Q_aq_axq_oQha_G5_1L __pyx_string_tab[2667] +#define __pyx_kp_b_iso88591_A_BB_aq_Q_aq_axq_oQha_G5_9_lRS_3 __pyx_string_tab[2668] +#define __pyx_kp_b_iso88591_A_B_aq_Q_aq_axq_oQha_G5_q_A_31HA __pyx_string_tab[2669] +#define __pyx_kp_b_iso88591_A_B_aq_aq_Qa_Kq_6_uA_8_T_4xzY_d __pyx_string_tab[2670] +#define __pyx_kp_b_iso88591_A_DA_aq_Q_aq_axq_oQha_G5_8_Q_31H __pyx_string_tab[2671] +#define __pyx_kp_b_iso88591_A_DA_aq_Qa_XQ_aq_axq_oQha_G5_AZq __pyx_string_tab[2672] +#define __pyx_kp_b_iso88591_A_DDWWX_Q_aq_axq_oQha_G5_8_QR_31 __pyx_string_tab[2673] +#define __pyx_kp_b_iso88591_A_DD_vvw_aq_Q_aq_axq_oQha_G5_Ql __pyx_string_tab[2674] +#define __pyx_kp_b_iso88591_A_EQ_aq_Q_aq_axq_oQha_G5_8_a_31H __pyx_string_tab[2675] +#define __pyx_kp_b_iso88591_A_EQ_aq_Q_aq_axq_oQha_G5_9_Q_31H __pyx_string_tab[2676] +#define __pyx_kp_b_iso88591_A_EQ_aq_Q_aq_axq_oQha_G5_q_A_31H __pyx_string_tab[2677] +#define __pyx_kp_b_iso88591_A_HKq_1A_6_5Q_A_7_4A_A_QgQ_7_1_A __pyx_string_tab[2678] +#define __pyx_kp_b_iso88591_A_Jm6_M_Q_Jiq_A_O9F_b_O1 __pyx_string_tab[2679] +#define __pyx_kp_b_iso88591_A_Q_aq_axq_oQha_G5_9_31HA_a_5Qax __pyx_string_tab[2680] +#define __pyx_kp_b_iso88591_A_Qd __pyx_string_tab[2681] +#define __pyx_kp_b_iso88591_A_VVW_aq_Qa_q_XWIQ_aq_axq_oQha_G __pyx_string_tab[2682] +#define __pyx_kp_b_iso88591_A_a_aq_Q_aq_axq_oQha_G5_q_A_31HA __pyx_string_tab[2683] +#define __pyx_kp_b_iso88591_A_aq_Kq_6_8_T_5_U_7_A_we_2Q_q_i __pyx_string_tab[2684] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_1A_2_81_2 __pyx_string_tab[2685] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_1A_31HA_7q __pyx_string_tab[2686] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_1L_31HA_7q __pyx_string_tab[2687] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_1_31HA_7q __pyx_string_tab[2688] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_1_31HA_q_6 __pyx_string_tab[2689] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_31HA_Q_AQh __pyx_string_tab[2690] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_31HA_Q_AQh_2 __pyx_string_tab[2691] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_31HA_q_6aq __pyx_string_tab[2692] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_31HA_Q_4 __pyx_string_tab[2693] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_31HA_Q_4_2 __pyx_string_tab[2694] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_Q_31HA_Q __pyx_string_tab[2695] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_9_31HA_a_5 __pyx_string_tab[2696] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_9_31HA_a_5_2 __pyx_string_tab[2697] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_AQ_31HA_8 __pyx_string_tab[2698] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_AQ_31HA_9 __pyx_string_tab[2699] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_A_1HA_a_Qa __pyx_string_tab[2700] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_A_31HA_7q __pyx_string_tab[2701] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_A_31HA_a_Q __pyx_string_tab[2702] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_DAQ_31HA_2 __pyx_string_tab[2703] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_H_31HA_6Q __pyx_string_tab[2704] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_N_81_N_81 __pyx_string_tab[2705] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_Qa_1HA_9_8 __pyx_string_tab[2706] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_Qa_31HA_9 __pyx_string_tab[2707] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_a_6axq_9_1 __pyx_string_tab[2708] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_aq_31HA_1 __pyx_string_tab[2709] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_q_31HA_A_1 __pyx_string_tab[2710] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_q_31HA_A_3 __pyx_string_tab[2711] +#define __pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_q_31HA_A_3_2 __pyx_string_tab[2712] +#define __pyx_kp_b_iso88591_A_aq_Qa_6_8_T_3a_U_7_A_we_Rq_AX __pyx_string_tab[2713] +#define __pyx_kp_b_iso88591_A_aq_Qa_XQ_aq_axq_oQha_G5_Q_31HA __pyx_string_tab[2714] +#define __pyx_kp_b_iso88591_A_aq_Qa_XWA_aq_axq_oQha_G5_Q_31H __pyx_string_tab[2715] +#define __pyx_kp_b_iso88591_A_aq_Qa_q_XWA_aq_axq_oQha_G5_1_3 __pyx_string_tab[2716] +#define __pyx_kp_b_iso88591_A_aq_Qa_q_XWA_aq_axq_oQha_G5_8_3 __pyx_string_tab[2717] +#define __pyx_kp_b_iso88591_A_aq_Qa_q_XWA_aq_axq_oQha_G5_Q_3 __pyx_string_tab[2718] +#define __pyx_kp_b_iso88591_A_aq_Qa_q_XWIQ_aq_axq_oQha_G5_8 __pyx_string_tab[2719] +#define __pyx_kp_b_iso88591_A_aq_Qa_q_XWIQ_aq_axq_oQha_G5_9 __pyx_string_tab[2720] +#define __pyx_kp_b_iso88591_A_aq_Qa_q_XWIQ_aq_axq_oQha_G5_q __pyx_string_tab[2721] +#define __pyx_kp_b_iso88591_A_aq_T_q_8_T_U_7_A_we_2_q_i_fAY __pyx_string_tab[2722] +#define __pyx_kp_b_iso88591_A_aq_T_q_8_T_U_7_A_we_2_q_i_fAY_2 __pyx_string_tab[2723] +#define __pyx_kp_b_iso88591_A_aq_XQ_aq_axq_oQha_G5_8_31HA_Q __pyx_string_tab[2724] +#define __pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5 __pyx_string_tab[2725] +#define __pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_10 __pyx_string_tab[2726] +#define __pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_11 __pyx_string_tab[2727] +#define __pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_12 __pyx_string_tab[2728] +#define __pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_13 __pyx_string_tab[2729] +#define __pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_14 __pyx_string_tab[2730] +#define __pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_15 __pyx_string_tab[2731] +#define __pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_2 __pyx_string_tab[2732] +#define __pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_3 __pyx_string_tab[2733] +#define __pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_4 __pyx_string_tab[2734] +#define __pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_5 __pyx_string_tab[2735] +#define __pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_6 __pyx_string_tab[2736] +#define __pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_7 __pyx_string_tab[2737] +#define __pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_8 __pyx_string_tab[2738] +#define __pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_9 __pyx_string_tab[2739] +#define __pyx_kp_b_iso88591_A_d_q_4z_q_aq_q __pyx_string_tab[2740] +#define __pyx_kp_b_iso88591_A_iq_46d_5 __pyx_string_tab[2741] +#define __pyx_kp_b_iso88591_A_q __pyx_string_tab[2742] +#define __pyx_kp_b_iso88591_A_q_Ya_aq_axq_oQha_G5_8_31HA_Q_4 __pyx_string_tab[2743] +#define __pyx_kp_b_iso88591_A_q_q __pyx_string_tab[2744] +#define __pyx_kp_b_iso88591_A_q_q_Ya_aq_axq_oQha_G5_8_31HA_Q __pyx_string_tab[2745] +#define __pyx_kp_b_iso88591_A_q_q_Ya_aq_axq_oQha_G5_9_31HA_a __pyx_string_tab[2746] +#define __pyx_kp_b_iso88591_A_t5 __pyx_string_tab[2747] +#define __pyx_kp_b_iso88591_A_t81A __pyx_string_tab[2748] +#define __pyx_kp_b_iso88591_A_t85 __pyx_string_tab[2749] +#define __pyx_kp_b_iso88591_A_t85_Q __pyx_string_tab[2750] +#define __pyx_kp_b_iso88591_A_t85_Q_2 __pyx_string_tab[2751] +#define __pyx_kp_b_iso88591_A_uAS __pyx_string_tab[2752] +#define __pyx_kp_b_iso88591_A_uBd __pyx_string_tab[2753] +#define __pyx_kp_b_iso88591_A_wat81 __pyx_string_tab[2754] +#define __pyx_kp_b_iso88591_A_z_____b_b_G_G_h_h_i_4_aq_Qa_6 __pyx_string_tab[2755] +#define __pyx_kp_b_iso88591_BC_Kq_7_8_U_F_U_7_A_we_2Q_q_i_v __pyx_string_tab[2756] +#define __pyx_kp_b_iso88591_BC_Kq_Kq_7_8_U_E_U_7_A_we_Ba_q __pyx_string_tab[2757] +#define __pyx_kp_b_iso88591_BC_aq_6_8_T_6_U_7_A_we_Ba_q_4y __pyx_string_tab[2758] +#define __pyx_kp_b_iso88591_BC_aq_Qa_6_8_T_3a_U_7_A_we_r_q __pyx_string_tab[2759] +#define __pyx_kp_b_iso88591_BXXY_aq_Qa_6_8_T_3a_U_7_A_we_r __pyx_string_tab[2760] +#define __pyx_kp_b_iso88591_C1_aq_T_q_8_T_U_7_A_we_2_M_q_r __pyx_string_tab[2761] +#define __pyx_kp_b_iso88591_CD_aq_Kq_6_8_T_5_U_7_A_we_b_q_2 __pyx_string_tab[2762] +#define __pyx_kp_b_iso88591_CD_aq_Qa_6_8_T_3a_U_7_A_we_0_Rt __pyx_string_tab[2763] +#define __pyx_kp_b_iso88591_CD_aq_Qa_6_8_T_3a_U_7_A_we_0_q __pyx_string_tab[2764] +#define __pyx_kp_b_iso88591_CZZqqr_aq_k_6_8_T_7_U_7_A_we_Bl __pyx_string_tab[2765] +#define __pyx_kp_b_iso88591_C_D_aq_aq_Qa_Kq_6_uA_8_T_4xzY_d __pyx_string_tab[2766] +#define __pyx_kp_b_iso88591_DE_Kq_Kq_7_8_U_E_U_7_A_we_b_q_2 __pyx_string_tab[2767] +#define __pyx_kp_b_iso88591_D_E_aq_aq_Qa_Kq_6_uA_8_T_4xzY_d __pyx_string_tab[2768] +#define __pyx_kp_b_iso88591_E_F_aq_aq_Qa_Kq_6_uA_8_T_4xzY_d __pyx_string_tab[2769] +#define __pyx_kp_b_iso88591_Kq_7_8_U_F_U_7_A_we_1_q_i_vQi_R __pyx_string_tab[2770] +#define __pyx_kp_b_iso88591_Kq_Kq_7_8_U_E_U_7_A_we_1_q_i_vQ __pyx_string_tab[2771] +#define __pyx_kp_b_iso88591_Kq_Kq_7_8_U_E_U_7_A_we_A_q_4y_5 __pyx_string_tab[2772] +#define __pyx_kp_b_iso88591_N_1_A_t1 __pyx_string_tab[2773] +#define __pyx_kp_b_iso88591_Q_AQQVVWWX_Q_5Q_9AT_4q_1JfA_Cq __pyx_string_tab[2774] +#define __pyx_kp_b_iso88591_Q_A_1_G9JfA_t_1G1_q_1_a_U_4q __pyx_string_tab[2775] +#define __pyx_kp_b_iso88591_Q_B_1A_Q_V1E_gQfAU_Q_1 __pyx_string_tab[2776] +#define __pyx_kp_b_iso88591_Q_NeSTTU_Q_2_9AT_4q_1G6_wc_t81H __pyx_string_tab[2777] +#define __pyx_kp_b_iso88591_Q_V1E_q_WAQ_Q_aq_1 __pyx_string_tab[2778] +#define __pyx_kp_b_iso88591_Q_aq_T_q_8_T_U_7_A_we_2_1_q_i_f __pyx_string_tab[2779] +#define __pyx_kp_b_iso88591_Q_q __pyx_string_tab[2780] +#define __pyx_kp_b_iso88591_SSkk_Y_Y_Z_8_aq_T_q_8_T_U_7_A_w __pyx_string_tab[2781] +#define __pyx_kp_b_iso88591_TTU_aq_T_q_8_T_U_7_A_we_2_q_q_i __pyx_string_tab[2782] +#define __pyx_kp_b_iso88591_UUV2_aq_T_q_8_T_U_7_A_we_Bm_q_Q __pyx_string_tab[2783] +#define __pyx_kp_b_iso88591_UUV_aq_Qa_6_8_T_3a_U_7_A_we_M_q __pyx_string_tab[2784] +#define __pyx_kp_b_iso88591_UUmmn_aq_Qa_6_8_T_3a_U_7_A_we_M __pyx_string_tab[2785] +#define __pyx_kp_b_iso88591_V6_8_V1_U_7_A_we_Ba_q_4y_6_q_VW __pyx_string_tab[2786] +#define __pyx_kp_b_iso88591_VVW_V6_8_V1_U_7_A_we_2_q_q_i_ay __pyx_string_tab[2787] +#define __pyx_kp_b_iso88591_VVW_aq_Qa_6_8_T_3a_U_7_A_we_2_q __pyx_string_tab[2788] +#define __pyx_kp_b_iso88591_VVmmn4_aq_T_q_8_T_U_7_A_we_b_Zz __pyx_string_tab[2789] +#define __pyx_kp_b_iso88591_WWX_aq_T_q_8_T_U_7_A_we_r_q_Bd __pyx_string_tab[2790] +#define __pyx_kp_b_iso88591_XXY_aq_Qa_6_8_T_3a_U_7_A_we_R_A __pyx_string_tab[2791] +#define __pyx_kp_b_iso88591_YYZ_aq_Qa_6_8_T_3a_U_7_A_we_2_A __pyx_string_tab[2792] +#define __pyx_kp_b_iso88591_YZ_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A __pyx_string_tab[2793] +#define __pyx_kp_b_iso88591_Yq_r_I_I_J_2_aq_Qa_Kq_6_a_8_T_3 __pyx_string_tab[2794] +#define __pyx_kp_b_iso88591_Z_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_w __pyx_string_tab[2795] +#define __pyx_kp_b_iso88591_Z_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_w_2 __pyx_string_tab[2796] +#define __pyx_kp_b_iso88591_Zr_s_K_K_c_c_d_0_aq_Qa_Kq_6_a_8 __pyx_string_tab[2797] +#define __pyx_kp_b_iso88591_Zt_u_O_O_e_e_6_aq_Qa_Kq_6_a_8_T __pyx_string_tab[2798] +#define __pyx_kp_b_iso88591_a_QoQ __pyx_string_tab[2799] +#define __pyx_kp_b_iso88591_a_aq_T_q_8_T_U_7_A_we_Bl_q_q_4y __pyx_string_tab[2800] +#define __pyx_kp_b_iso88591_aq_6_8_T_6_U_7_A_we_1_q_i_fAYkQ __pyx_string_tab[2801] +#define __pyx_kp_b_iso88591_aq_Q_Q __pyx_string_tab[2802] +#define __pyx_kp_b_iso88591_aq_Qa_6_8_T_3a_U_7_A_we_0_q_Rt9 __pyx_string_tab[2803] +#define __pyx_kp_b_iso88591_aq_Qa_6_8_T_3a_U_7_A_we_2Q_q_i __pyx_string_tab[2804] +#define __pyx_kp_b_iso88591_aq_Qa_6_a_8_T_3hjX___U_7_A_we_0 __pyx_string_tab[2805] +#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_w __pyx_string_tab[2806] +#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_w_2 __pyx_string_tab[2807] +#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_w_3 __pyx_string_tab[2808] +#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_we __pyx_string_tab[2809] +#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_we_2 __pyx_string_tab[2810] +#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_we_3 __pyx_string_tab[2811] +#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_we_4 __pyx_string_tab[2812] +#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_we_5 __pyx_string_tab[2813] +#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_a_8_T_3hjX_U_7_A_we_6 __pyx_string_tab[2814] +#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_gQ_8_T_3hjX_eeoouuv __pyx_string_tab[2815] +#define __pyx_kp_b_iso88591_aq_Qa_Kq_6_gQ_8_T_3hjX_eeoouuv_2 __pyx_string_tab[2816] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_0_q_Rt9Kt6 __pyx_string_tab[2817] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_0_q_Rt9Kt6_2 __pyx_string_tab[2818] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_1_1_q_b_I_F __pyx_string_tab[2819] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_1_81_Qha_b __pyx_string_tab[2820] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_1_q_i_fAYa __pyx_string_tab[2821] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_2Q_q_i_fAYm __pyx_string_tab[2822] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_2_q_r_Yk_V1 __pyx_string_tab[2823] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_31_q_i_fAYa __pyx_string_tab[2824] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_32Q_axq_axq __pyx_string_tab[2825] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_32Q_q_i_fAY __pyx_string_tab[2826] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_4A_q_4y_4vQ __pyx_string_tab[2827] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_4A_q_4y_4vQ_2 __pyx_string_tab[2828] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_A_q_4y_4vQi __pyx_string_tab[2829] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_A_q_r_Yk_V1 __pyx_string_tab[2830] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_Ba_q_4y_4vQ __pyx_string_tab[2831] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_Q_q_D_D_ay __pyx_string_tab[2832] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_Rq_q_D_D_ay __pyx_string_tab[2833] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_a_q_2T_T_q __pyx_string_tab[2834] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_b_axq_axq_2 __pyx_string_tab[2835] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_b_q_2T_T_q __pyx_string_tab[2836] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_q_q_1HA_Bd __pyx_string_tab[2837] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_q_r_Yk_V1IQ __pyx_string_tab[2838] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_r_q_Bd_d_WX __pyx_string_tab[2839] +#define __pyx_kp_b_iso88591_aq_T_q_8_T_U_7_A_we_r_q_Qha_1HA __pyx_string_tab[2840] +#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns __pyx_string_tab[2841] +#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_10 __pyx_string_tab[2842] +#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_11 __pyx_string_tab[2843] +#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_12 __pyx_string_tab[2844] +#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_13 __pyx_string_tab[2845] +#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_14 __pyx_string_tab[2846] +#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_15 __pyx_string_tab[2847] +#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_2 __pyx_string_tab[2848] +#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_3 __pyx_string_tab[2849] +#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_4 __pyx_string_tab[2850] +#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_5 __pyx_string_tab[2851] +#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_6 __pyx_string_tab[2852] +#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_7 __pyx_string_tab[2853] +#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_8 __pyx_string_tab[2854] +#define __pyx_kp_b_iso88591_aq_aq_Qa_Kq_6_uA_8_T_4xzY_ddnns_9 __pyx_string_tab[2855] +#define __pyx_kp_b_iso88591_aq_xs_q_A_Q_a __pyx_string_tab[2856] +#define __pyx_kp_b_iso88591_aq_xs_q_Qa_1 __pyx_string_tab[2857] +#define __pyx_kp_b_iso88591_ayyz_aq_Qa_Kq_6_a_8_T_3hjX_U_7 __pyx_string_tab[2858] +#define __pyx_kp_b_iso88591_q_1_Q_a __pyx_string_tab[2859] +#define __pyx_kp_b_iso88591_q_9A_1_q_1_1_1A_q_a_1A_4z_A_G1 __pyx_string_tab[2860] +#define __pyx_kp_b_iso88591_q_aq_T_q_8_T_U_7_A_we_b_Q_q_2T __pyx_string_tab[2861] +#define __pyx_kp_b_iso88591_uBa_q_1A__F_F_t2Q __pyx_string_tab[2862] +#define __pyx_kp_b_iso88591_uCq_Q_1A_1_q_AQ __pyx_string_tab[2863] +#define __pyx_kp_b_iso88591_v_w_P_P_Q_aq_Qa_Kq_6_a_8_T_3hjX __pyx_string_tab[2864] +#define __pyx_kp_b_iso88591_v_w_Q_Q_f_f_A_2_aq_Qa_Kq_6_a_8 __pyx_string_tab[2865] +#define __pyx_kp_b_iso88591_w_x_R_R_S_aq_Qa_Kq_6_a_8_T_3hjX __pyx_string_tab[2866] +#define __pyx_kp_b_iso88591_wx_aq_Qa_Kq_6_gQ_8_T_3hjX_eeoou __pyx_string_tab[2867] +#define __pyx_kp_b_iso88591_y_1_q_Q_a_Q_a_Q_a_Q_a_Q_a_Q_a_Q __pyx_string_tab[2868] +#define __pyx_kp_b_iso88591_z_R_R_S_aq_Qa_Kq_6_gQ_8_T_3hjX __pyx_string_tab[2869] +#define __pyx_float_0_2 __pyx_number_tab[0] +#define __pyx_float_0_3 __pyx_number_tab[1] +#define __pyx_float_0_5 __pyx_number_tab[2] +#define __pyx_float_3_0 __pyx_number_tab[3] +#define __pyx_float_0_02 __pyx_number_tab[4] +#define __pyx_float_neg_4e37 __pyx_number_tab[5] +#define __pyx_float_50_0 __pyx_number_tab[6] +#define __pyx_int_0 __pyx_number_tab[7] +#define __pyx_int_neg_1 __pyx_number_tab[8] +#define __pyx_int_1 __pyx_number_tab[9] +#define __pyx_int_2 __pyx_number_tab[10] +#define __pyx_int_3 __pyx_number_tab[11] +#define __pyx_int_4 __pyx_number_tab[12] +#define __pyx_int_8 __pyx_number_tab[13] +#define __pyx_int_12 __pyx_number_tab[14] +#define __pyx_int_13 __pyx_number_tab[15] +#define __pyx_int_14 __pyx_number_tab[16] +#define __pyx_int_16 __pyx_number_tab[17] +#define __pyx_int_32 __pyx_number_tab[18] +#define __pyx_int_64 __pyx_number_tab[19] +#define __pyx_int_128 __pyx_number_tab[20] +#define __pyx_int_256 __pyx_number_tab[21] +#define __pyx_int_512 __pyx_number_tab[22] +#define __pyx_int_1024 __pyx_number_tab[23] +#define __pyx_int_2048 __pyx_number_tab[24] +#define __pyx_int_4096 __pyx_number_tab[25] +#define __pyx_int_8192 __pyx_number_tab[26] +#define __pyx_int_16777216 __pyx_number_tab[27] +#define __pyx_int_33554432 __pyx_number_tab[28] +#define __pyx_int_67108864 __pyx_number_tab[29] +#define __pyx_int_134217728 __pyx_number_tab[30] +#define __pyx_int_268435456 __pyx_number_tab[31] +#define __pyx_int_536870912 __pyx_number_tab[32] +#define __pyx_int_1073741824 __pyx_number_tab[33] +#define __pyx_int_neg_2147483648 __pyx_number_tab[34] +/* #### Code section: module_state_clear ### */ +#if CYTHON_USE_MODULE_STATE +static CYTHON_SMALL_CODE int __pyx_m_clear(PyObject *m) { + __pyx_mstatetype *clear_module_state = __Pyx_PyModule_GetState(m); + if (!clear_module_state) return 0; + Py_CLEAR(clear_module_state->__pyx_d); + Py_CLEAR(clear_module_state->__pyx_b); + Py_CLEAR(clear_module_state->__pyx_cython_runtime); + Py_CLEAR(clear_module_state->__pyx_empty_tuple); + Py_CLEAR(clear_module_state->__pyx_empty_bytes); + Py_CLEAR(clear_module_state->__pyx_empty_unicode); + #if CYTHON_PEP489_MULTI_PHASE_INIT + __Pyx_State_RemoveModule(NULL); #endif - __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); - { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_open,&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_close,0}; - const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 865, __pyx_L3_error) - if (__pyx_kwds_len > 0) { - switch (__pyx_nargs) { - case 4: - values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); 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Py_CLEAR(clear_module_state->__pyx_ptype_5numpy_floating); + Py_CLEAR(clear_module_state->__pyx_ptype_5numpy_complexfloating); + Py_CLEAR(clear_module_state->__pyx_ptype_5numpy_flexible); + Py_CLEAR(clear_module_state->__pyx_ptype_5numpy_character); + Py_CLEAR(clear_module_state->__pyx_ptype_5numpy_ufunc); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_AC_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_AC_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_ACCBANDS_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_ACCBANDS_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_ACOS_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_ACOS_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_AD_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_AD_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_ADD_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_ADD_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_ADOSC_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_ADOSC_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_ADR_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_ADR_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_ADX_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_ADX_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_ADXR_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_ADXR_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_AO_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_AO_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_APO_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_APO_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_AROON_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_AROON_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_AROONOSC_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_AROONOSC_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_ASIN_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_ASIN_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_ATAN_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_ATAN_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_ATR_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_ATR_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_AVGDEV_Stream); + 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Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_CDLDOJI_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_CDLDOJI_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_CDLDOJISTAR_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_CDLDOJISTAR_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream); + Py_CLEAR(clear_module_state->__pyx_type_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream); + Py_CLEAR(clear_module_state->__pyx_ptype_5talib_7_ta_lib_CDLENGULFING_Stream); + 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prices: ['high', 'low', 'close', 'volume']\nParameters:\n fastperiod: 3\n slowperiod: 10\nOutputs:\n real"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_31ADOSC = {"ADOSC", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_31ADOSC, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_30ADOSC}; +static PyObject *__pyx_pw_5talib_7_ta_lib_31ADOSC(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_open = 0; PyArrayObject *__pyx_v_high = 0; PyArrayObject *__pyx_v_low = 0; PyArrayObject *__pyx_v_close = 0; + PyArrayObject *__pyx_v_volume = 0; + int __pyx_v_fastperiod; + int __pyx_v_slowperiod; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[4] = {0,0,0,0}; + PyObject* values[6] = {0,0,0,0,0,0}; int 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__pyx_v_lookback)); + __pyx_v_retCode = TA_ADOSC(0, __pyx_v_endidx, (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_high)) + __pyx_v_begidx), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_low)) + __pyx_v_begidx), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_close)) + __pyx_v_begidx), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_volume)) + __pyx_v_begidx), __pyx_v_fastperiod, __pyx_v_slowperiod, (&__pyx_v_outbegidx), (&__pyx_v_outnbelement), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_outreal)) + __pyx_v_lookback)); - __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_CDLGRAVESTONEDOJI, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 1606, __pyx_L1_error) + __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_ADOSC, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 339, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 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+PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_32ADR, "ADR(ndarray high, ndarray low, int timeperiod=-0x80000000)\n\nADR(high, low[, timeperiod=?])\n\nAverage Day Range (Volatility Indicators)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n timeperiod: 14\nOutputs:\n real"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_33ADR = {"ADR", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_33ADR, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_32ADR}; +static PyObject *__pyx_pw_5talib_7_ta_lib_33ADR(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_open = 0; PyArrayObject *__pyx_v_high = 0; PyArrayObject *__pyx_v_low = 0; - PyArrayObject *__pyx_v_close = 0; + int __pyx_v_timeperiod; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[4] = {0,0,0,0}; + PyObject* values[3] = {0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("CDLHAMMER (wrapper)", 0); + __Pyx_RefNannySetupContext("ADR (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -17763,70 +16907,70 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_open,&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_close,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 1609, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 342, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { - case 4: - values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(4, 1609, __pyx_L3_error) - CYTHON_FALLTHROUGH; case 3: values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(4, 1609, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 342, __pyx_L3_error) CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 1609, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 342, __pyx_L3_error) CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if 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+ __Pyx_XDECREF((PyObject *)__pyx_v_outreal); __Pyx_XDECREF((PyObject *)__pyx_v_high); __Pyx_XDECREF((PyObject *)__pyx_v_low); - __Pyx_XDECREF((PyObject *)__pyx_v_close); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; @@ -17933,26 +17063,26 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_110CDLHAMMER(CYTHON_UNUSED PyObject *_ /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_113CDLHANGINGMAN(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_35ADX(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_112CDLHANGINGMAN, "CDLHANGINGMAN(ndarray open, ndarray high, ndarray low, ndarray close)\n\nCDLHANGINGMAN(open, high, low, close)\n\nHanging Man (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 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__Pyx_AddTraceback("talib._ta_lib.CDLHANGINGMAN", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.ADX", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; - __Pyx_XDECREF((PyObject *)__pyx_v_outinteger); - __Pyx_XDECREF((PyObject *)__pyx_v_open); + __Pyx_XDECREF((PyObject *)__pyx_v_outreal); __Pyx_XDECREF((PyObject *)__pyx_v_high); __Pyx_XDECREF((PyObject *)__pyx_v_low); __Pyx_XDECREF((PyObject *)__pyx_v_close); @@ -18143,26 +17274,26 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_112CDLHANGINGMAN(CYTHON_UNUSED PyObjec /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_115CDLHARAMI(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_37ADXR(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_114CDLHARAMI, "CDLHARAMI(ndarray open, ndarray high, ndarray low, ndarray close)\n\nCDLHARAMI(open, high, low, close)\n\nHarami Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"); -static PyMethodDef __pyx_mdef_5talib_7_ta_lib_115CDLHARAMI = {"CDLHARAMI", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_115CDLHARAMI, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_114CDLHARAMI}; -static PyObject *__pyx_pw_5talib_7_ta_lib_115CDLHARAMI(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_36ADXR, "ADXR(ndarray high, ndarray low, ndarray close, int timeperiod=-0x80000000)\n\nADXR(high, low, close[, timeperiod=?])\n\nAverage Directional Movement Index Rating (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_37ADXR = {"ADXR", 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+ __pyx_r = ((PyObject *)__pyx_v_outreal); goto __pyx_L0; /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.CDLHARAMI", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.ADXR", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; - __Pyx_XDECREF((PyObject *)__pyx_v_outinteger); - __Pyx_XDECREF((PyObject *)__pyx_v_open); + __Pyx_XDECREF((PyObject *)__pyx_v_outreal); __Pyx_XDECREF((PyObject *)__pyx_v_high); __Pyx_XDECREF((PyObject *)__pyx_v_low); __Pyx_XDECREF((PyObject *)__pyx_v_close); @@ -18353,26 +17485,26 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_114CDLHARAMI(CYTHON_UNUSED PyObject *_ /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_117CDLHARAMICROSS(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_39AO(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject 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'low']\nParameters:\n fastperiod: 5\n slowperiod: 34\nOutputs:\n real"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_39AO = {"AO", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_39AO, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_38AO}; +static PyObject *__pyx_pw_5talib_7_ta_lib_39AO(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_open = 0; PyArrayObject *__pyx_v_high = 0; PyArrayObject *__pyx_v_low = 0; - PyArrayObject *__pyx_v_close = 0; + int __pyx_v_fastperiod; + int __pyx_v_slowperiod; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif @@ -18383,7 +17515,7 @@ PyObject *__pyx_args, PyObject *__pyx_kwds int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("CDLHARAMICROSS (wrapper)", 0); + 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__pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 1801, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 541, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { - case 4: - values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(4, 1801, __pyx_L3_error) - CYTHON_FALLTHROUGH; case 3: values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(4, 1801, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 541, __pyx_L3_error) CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 1801, 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__pyx_L5_argtuple_error; } const Py_ssize_t kwd_pos_args = __pyx_nargs; - if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "CDLINNECK", 0) < (0)) __PYX_ERR(4, 1897, __pyx_L3_error) - for (Py_ssize_t i = __pyx_nargs; i < 4; i++) { - if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("CDLINNECK", 1, 4, 4, i); __PYX_ERR(4, 1897, __pyx_L3_error) } + if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "ATR", 0) < (0)) __PYX_ERR(5, 631, __pyx_L3_error) + for (Py_ssize_t i = __pyx_nargs; i < 3; i++) { + if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("ATR", 0, 3, 4, i); __PYX_ERR(5, 631, __pyx_L3_error) } } - } else if (unlikely(__pyx_nargs != 4)) { - goto __pyx_L5_argtuple_error; } else { - values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 1897, __pyx_L3_error) - values[1] = 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Transform)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_53AVGDEV = {"AVGDEV", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_53AVGDEV, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_52AVGDEV}; +static PyObject *__pyx_pw_5talib_7_ta_lib_53AVGDEV(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_open = 0; - PyArrayObject *__pyx_v_high = 0; - PyArrayObject *__pyx_v_low = 0; - PyArrayObject *__pyx_v_close = 0; + PyArrayObject *__pyx_v_real = 0; + int __pyx_v_timeperiod; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[4] = {0,0,0,0}; + PyObject* values[2] = {0,0}; int __pyx_lineno = 0; const char 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matype=0)\n\nBBANDS(real[, timeperiod=?, nbdevup=?, nbdevdn=?, matype=?])\n\nBollinger Bands (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 20\n nbdevup: 2.0\n nbdevdn: 2.0\n matype: 0 (Simple Moving Average)\nOutputs:\n upperband\n middleband\n lowerband"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_57BBANDS = {"BBANDS", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_57BBANDS, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_56BBANDS}; +static PyObject *__pyx_pw_5talib_7_ta_lib_57BBANDS(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_open = 0; - PyArrayObject *__pyx_v_high = 0; - PyArrayObject *__pyx_v_low = 0; - PyArrayObject *__pyx_v_close = 0; + PyArrayObject *__pyx_v_real = 0; + int __pyx_v_timeperiod; + double __pyx_v_nbdevup; + double __pyx_v_nbdevdn; + int __pyx_v_matype; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[4] = {0,0,0,0}; + PyObject* values[5] = {0,0,0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("CDLKICKINGBYLENGTH (wrapper)", 0); + __Pyx_RefNannySetupContext("BBANDS (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -20283,70 +19263,101 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_open,&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_close,0}; + PyObject ** const __pyx_pyargnames[] = 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(values are -100, 0 or 100)"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_65CDL2CROWS = {"CDL2CROWS", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_65CDL2CROWS, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_64CDL2CROWS}; +static PyObject *__pyx_pw_5talib_7_ta_lib_65CDL2CROWS(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else @@ -20903,7 +20112,7 @@ PyObject *__pyx_args, PyObject *__pyx_kwds int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("CDLLONGLINE (wrapper)", 0); + __Pyx_RefNannySetupContext("CDL2CROWS (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -20915,44 +20124,44 @@ PyObject *__pyx_args, PyObject *__pyx_kwds { PyObject ** const __pyx_pyargnames[] = 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close)\n\nThree Inside Up/Down (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_69CDL3INSIDE = {"CDL3INSIDE", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_69CDL3INSIDE, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_68CDL3INSIDE}; +static PyObject *__pyx_pw_5talib_7_ta_lib_69CDL3INSIDE(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else @@ -21323,7 +20532,7 @@ PyObject *__pyx_args, PyObject *__pyx_kwds int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("CDLMATCHINGLOW (wrapper)", 0); + __Pyx_RefNannySetupContext("CDL3INSIDE (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -21335,44 +20544,44 @@ PyObject 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__pyx_L5_argtuple_error; } else { - switch (__pyx_nargs) { - case 5: - values[4] = __Pyx_ArgRef_FASTCALL(__pyx_args, 4); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[4])) __PYX_ERR(4, 2185, __pyx_L3_error) - CYTHON_FALLTHROUGH; - case 4: - values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(4, 2185, __pyx_L3_error) - values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(4, 2185, __pyx_L3_error) - values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 2185, __pyx_L3_error) - values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 2185, __pyx_L3_error) - break; - default: goto __pyx_L5_argtuple_error; - } + values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) 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+PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_72CDL3OUTSIDE, "CDL3OUTSIDE(ndarray open, ndarray high, ndarray low, ndarray close)\n\nCDL3OUTSIDE(open, high, low, close)\n\nThree Outside Up/Down (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_73CDL3OUTSIDE = {"CDL3OUTSIDE", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_73CDL3OUTSIDE, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_72CDL3OUTSIDE}; +static PyObject *__pyx_pw_5talib_7_ta_lib_73CDL3OUTSIDE(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else @@ -21750,18 +20942,17 @@ PyObject *__pyx_args, PyObject *__pyx_kwds PyArrayObject *__pyx_v_high = 0; PyArrayObject *__pyx_v_low = 0; PyArrayObject *__pyx_v_close = 0; - double __pyx_v_penetration; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED 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__pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_CDL3WHITESOLDIERS, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 1086, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; @@ -22379,7 +21537,7 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_152CDLONNECK(CYTHON_UNUSED PyObject *_ /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.CDLONNECK", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.CDL3WHITESOLDIERS", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_outinteger); @@ -22394,16 +21552,16 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_152CDLONNECK(CYTHON_UNUSED PyObject *_ /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_155CDLPIERCING(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_79CDLABANDONEDBABY(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_154CDLPIERCING, "CDLPIERCING(ndarray open, ndarray high, ndarray low, ndarray close)\n\nCDLPIERCING(open, high, low, close)\n\nPiercing Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"); -static PyMethodDef __pyx_mdef_5talib_7_ta_lib_155CDLPIERCING = {"CDLPIERCING", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_155CDLPIERCING, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_154CDLPIERCING}; -static PyObject *__pyx_pw_5talib_7_ta_lib_155CDLPIERCING(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_78CDLABANDONEDBABY, "CDLABANDONEDBABY(ndarray open, ndarray high, ndarray low, ndarray close, double penetration=0.3)\n\nCDLABANDONEDBABY(open, high, low, close[, penetration=?])\n\nAbandoned Baby (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nParameters:\n penetration: 0.3\nOutputs:\n integer (values are -100, 0 or 100)"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_79CDLABANDONEDBABY = {"CDLABANDONEDBABY", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_79CDLABANDONEDBABY, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_78CDLABANDONEDBABY}; +static PyObject *__pyx_pw_5talib_7_ta_lib_79CDLABANDONEDBABY(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else @@ -22414,17 +21572,18 @@ PyObject *__pyx_args, PyObject *__pyx_kwds PyArrayObject *__pyx_v_high = 0; PyArrayObject *__pyx_v_low = 0; PyArrayObject *__pyx_v_close = 0; + double __pyx_v_penetration; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif 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high, low, close)\n\nConcealing Baby Swallow (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_89CDLCONCEALBABYSWALL = {"CDLCONCEALBABYSWALL", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_89CDLCONCEALBABYSWALL, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_88CDLCONCEALBABYSWALL}; +static PyObject *__pyx_pw_5talib_7_ta_lib_89CDLCONCEALBABYSWALL(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else @@ -23474,7 +22649,7 @@ PyObject *__pyx_args, PyObject *__pyx_kwds int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("CDLSHORTLINE (wrapper)", 0); + __Pyx_RefNannySetupContext("CDLCONCEALBABYSWALL (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = 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PyObject *__pyx_pf_5talib_7_ta_lib_164CDLSHORTLINE(CYTHON_UNUSED PyObject /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.CDLSHORTLINE", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.CDLCONCEALBABYSWALL", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_outinteger); @@ -23654,16 +22829,16 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_164CDLSHORTLINE(CYTHON_UNUSED PyObject /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_167CDLSPINNINGTOP(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_91CDLCOUNTERATTACK(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_166CDLSPINNINGTOP, "CDLSPINNINGTOP(ndarray open, ndarray high, ndarray low, 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__Pyx_AddTraceback("talib._ta_lib.CDLSPINNINGTOP", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.CDLCOUNTERATTACK", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_outinteger); @@ -23864,16 +23039,16 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_166CDLSPINNINGTOP(CYTHON_UNUSED PyObje /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_169CDLSTALLEDPATTERN(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_93CDLDARKCLOUDCOVER(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_168CDLSTALLEDPATTERN, "CDLSTALLEDPATTERN(ndarray open, ndarray high, ndarray low, ndarray close)\n\nCDLSTALLEDPATTERN(open, high, low, close)\n\nStalled Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; @@ -24269,7 +23461,7 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_170CDLSTICKSANDWICH(CYTHON_UNUSED PyOb /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.CDLSTICKSANDWICH", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.CDLDOJI", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_outinteger); @@ -24284,16 +23476,16 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_170CDLSTICKSANDWICH(CYTHON_UNUSED PyOb /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_173CDLTAKURI(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_97CDLDOJISTAR(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_172CDLTAKURI, 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2668, __pyx_L1_error) + __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_CDLDRAGONFLYDOJI, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 1442, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; @@ -24689,7 +23881,7 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_174CDLTASUKIGAP(CYTHON_UNUSED PyObject /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.CDLTASUKIGAP", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.CDLDRAGONFLYDOJI", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_outinteger); @@ -24704,16 +23896,16 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_174CDLTASUKIGAP(CYTHON_UNUSED PyObject /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_177CDLTHRUSTING(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_101CDLENGULFING(PyObject 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__PYX_ERR(4, 2860, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 1609, __pyx_L3_error) CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 2860, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 1609, __pyx_L3_error) CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 2860, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 1609, __pyx_L3_error) CYTHON_FALLTHROUGH; case 0: break; default: goto __pyx_L5_argtuple_error; } const Py_ssize_t kwd_pos_args = __pyx_nargs; - if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "CMF", 0) < (0)) __PYX_ERR(4, 2860, __pyx_L3_error) + if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, 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__pyx_v_outreal = ((PyArrayObject *)__pyx_t_1); + __pyx_v_outinteger = ((PyArrayObject *)__pyx_t_1); __pyx_t_1 = 0; - __pyx_v_retCode = TA_CMF(0, __pyx_v_endidx, (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_high)) + __pyx_v_begidx), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_low)) + __pyx_v_begidx), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_close)) + __pyx_v_begidx), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_volume)) + __pyx_v_begidx), __pyx_v_timeperiod, (&__pyx_v_outbegidx), (&__pyx_v_outnbelement), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_outreal)) + __pyx_v_lookback)); + __pyx_v_retCode = TA_CDLHAMMER(0, __pyx_v_endidx, (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_open)) + __pyx_v_begidx), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_high)) + __pyx_v_begidx), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_low)) + __pyx_v_begidx), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_close)) + 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__pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; - __Pyx_XDECREF((PyObject *)__pyx_v_outreal); + __Pyx_XDECREF((PyObject *)__pyx_v_outinteger); + __Pyx_XDECREF((PyObject *)__pyx_v_open); __Pyx_XDECREF((PyObject *)__pyx_v_high); __Pyx_XDECREF((PyObject *)__pyx_v_low); __Pyx_XDECREF((PyObject *)__pyx_v_close); - __Pyx_XDECREF((PyObject *)__pyx_v_volume); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; @@ -26141,35 +25190,37 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_188CMF(CYTHON_UNUSED PyObject *__pyx_s /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_191CMO(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_113CDLHANGINGMAN(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_190CMO, "CMO(ndarray real, int timeperiod=-0x80000000)\n\nCMO(real[, timeperiod=?])\n\nChande Momentum Oscillator (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real"); -static PyMethodDef __pyx_mdef_5talib_7_ta_lib_191CMO = {"CMO", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_191CMO, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_190CMO}; -static PyObject *__pyx_pw_5talib_7_ta_lib_191CMO(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_112CDLHANGINGMAN, "CDLHANGINGMAN(ndarray open, ndarray high, ndarray low, ndarray close)\n\nCDLHANGINGMAN(open, high, low, close)\n\nHanging Man (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_113CDLHANGINGMAN = {"CDLHANGINGMAN", 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__Pyx_RefNannySetupContext("CDLHANGINGMAN (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -26179,62 +25230,70 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_open,&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_close,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 2894, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 1641, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { + case 4: + values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 1641, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 3: + values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 1641, __pyx_L3_error) + CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 2894, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 1641, __pyx_L3_error) CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 2894, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 1641, __pyx_L3_error) CYTHON_FALLTHROUGH; case 0: break; default: goto __pyx_L5_argtuple_error; } const Py_ssize_t kwd_pos_args = __pyx_nargs; - if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "CMO", 0) < (0)) __PYX_ERR(4, 2894, __pyx_L3_error) - for (Py_ssize_t i = __pyx_nargs; i < 1; i++) { - if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("CMO", 0, 1, 2, i); __PYX_ERR(4, 2894, __pyx_L3_error) } - } - } else { - switch (__pyx_nargs) { - case 2: - values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 2894, __pyx_L3_error) - CYTHON_FALLTHROUGH; - case 1: - values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 2894, __pyx_L3_error) - break; - default: goto __pyx_L5_argtuple_error; + if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "CDLHANGINGMAN", 0) < (0)) __PYX_ERR(5, 1641, __pyx_L3_error) + for (Py_ssize_t i = __pyx_nargs; i < 4; i++) { + if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("CDLHANGINGMAN", 1, 4, 4, i); __PYX_ERR(5, 1641, __pyx_L3_error) } } - } - 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*)__pyx_v_real); + __Pyx_XDECREF((PyObject *)__pyx_v_outinteger); + __Pyx_XDECREF((PyObject *)__pyx_v_open); + __Pyx_XDECREF((PyObject *)__pyx_v_high); + __Pyx_XDECREF((PyObject *)__pyx_v_low); + __Pyx_XDECREF((PyObject *)__pyx_v_close); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; @@ -26318,35 +25400,37 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_190CMO(CYTHON_UNUSED PyObject *__pyx_s /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_193CMOU(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_115CDLHARAMI(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_192CMOU, "CMOU(ndarray real, int timeperiod=-0x80000000)\n\nCMOU(real[, timeperiod=?])\n\nChande Momentum Oscillator (Unsmoothed) (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n 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CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 2925, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 1673, __pyx_L3_error) CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 2925, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 1673, __pyx_L3_error) CYTHON_FALLTHROUGH; case 0: break; default: goto __pyx_L5_argtuple_error; } const Py_ssize_t kwd_pos_args = __pyx_nargs; - if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "CMOU", 0) < (0)) __PYX_ERR(4, 2925, __pyx_L3_error) - for (Py_ssize_t i = __pyx_nargs; i < 1; i++) { - if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("CMOU", 0, 1, 2, i); __PYX_ERR(4, 2925, __pyx_L3_error) } - } - } else { - 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+25610,26 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_192CMOU(CYTHON_UNUSED PyObject *__pyx_ /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_195COPPOCK(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_117CDLHARAMICROSS(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_194COPPOCK, "COPPOCK(ndarray real, int wmaperiod=-0x80000000, int roc1period=-0x80000000, int roc2period=-0x80000000)\n\nCOPPOCK(real[, wmaperiod=?, roc1period=?, roc2period=?])\n\nCoppock Curve (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n wmaperiod: 10\n roc1period: 11\n roc2period: 14\nOutputs:\n real"); -static PyMethodDef __pyx_mdef_5talib_7_ta_lib_195COPPOCK = {"COPPOCK", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_195COPPOCK, 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int __pyx_v_roc2period) { +static PyObject *__pyx_pf_5talib_7_ta_lib_116CDLHARAMICROSS(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_open, PyArrayObject *__pyx_v_high, PyArrayObject *__pyx_v_low, PyArrayObject *__pyx_v_close) { npy_intp __pyx_v_length; int __pyx_v_begidx; int __pyx_v_endidx; @@ -26643,56 +25740,79 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_194COPPOCK(CYTHON_UNUSED PyObject *__p TA_RetCode __pyx_v_retCode; int __pyx_v_outbegidx; int __pyx_v_outnbelement; - PyArrayObject *__pyx_v_outreal = 0; + PyArrayObject *__pyx_v_outinteger = 0; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; - npy_int __pyx_t_2; + npy_intp __pyx_t_2; + npy_int __pyx_t_3; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; - __Pyx_RefNannySetupContext("COPPOCK", 0); - __Pyx_INCREF((PyObject *)__pyx_v_real); + __Pyx_RefNannySetupContext("CDLHARAMICROSS", 0); + __Pyx_INCREF((PyObject *)__pyx_v_open); + __Pyx_INCREF((PyObject 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__pyx_r = NULL; __pyx_L0:; - __Pyx_XDECREF((PyObject *)__pyx_v_outreal); + __Pyx_XDECREF((PyObject *)__pyx_v_outinteger); + __Pyx_XDECREF((PyObject *)__pyx_v_open); __Pyx_XDECREF((PyObject *)__pyx_v_high); __Pyx_XDECREF((PyObject *)__pyx_v_low); + __Pyx_XDECREF((PyObject *)__pyx_v_close); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; @@ -27584,35 +26870,37 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_204CVI(CYTHON_UNUSED PyObject *__pyx_s /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_207DEMA(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_129CDLINNECK(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_206DEMA, "DEMA(ndarray real, int timeperiod=-0x80000000)\n\nDEMA(real[, timeperiod=?])\n\nDouble Exponential Moving Average (Overlap 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= 0; + PyArrayObject *__pyx_v_low = 0; + PyArrayObject *__pyx_v_close = 0; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[2] = {0,0}; + PyObject* values[4] = {0,0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("DIV (wrapper)", 0); + __Pyx_RefNannySetupContext("CDLINVERTEDHAMMER (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -27799,54 +27120,70 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real0,&__pyx_mstate_global->__pyx_n_u_real1,0}; + PyObject ** const __pyx_pyargnames[] = 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__pyx_filename); __pyx_r = NULL; __pyx_L0:; - __Pyx_XDECREF((PyObject *)__pyx_v_outrealupperband); - __Pyx_XDECREF((PyObject *)__pyx_v_outrealmiddleband); - __Pyx_XDECREF((PyObject *)__pyx_v_outreallowerband); + __Pyx_XDECREF((PyObject *)__pyx_v_outinteger); + __Pyx_XDECREF((PyObject *)__pyx_v_open); __Pyx_XDECREF((PyObject *)__pyx_v_high); __Pyx_XDECREF((PyObject *)__pyx_v_low); + __Pyx_XDECREF((PyObject *)__pyx_v_close); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; @@ -28159,35 +27500,37 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_210DONCHIAN(CYTHON_UNUSED PyObject *__ /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_213DPO(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_135CDLKICKINGBYLENGTH(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ 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(__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "DPO", 0) < (0)) __PYX_ERR(4, 3242, __pyx_L3_error) - for (Py_ssize_t i = __pyx_nargs; i < 1; i++) { - if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("DPO", 0, 1, 2, i); __PYX_ERR(4, 3242, __pyx_L3_error) } - } - } else { - switch (__pyx_nargs) { - case 2: - values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 3242, __pyx_L3_error) - CYTHON_FALLTHROUGH; - case 1: - values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 3242, __pyx_L3_error) - break; - default: goto __pyx_L5_argtuple_error; + if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "CDLKICKINGBYLENGTH", 0) < (0)) __PYX_ERR(5, 1993, __pyx_L3_error) + for (Py_ssize_t i = __pyx_nargs; i < 4; i++) { + if 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kwd_pos_args = __pyx_nargs; - if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "DX", 0) < (0)) __PYX_ERR(4, 3273, __pyx_L3_error) - for (Py_ssize_t i = __pyx_nargs; i < 3; i++) { - if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("DX", 0, 3, 4, i); __PYX_ERR(4, 3273, __pyx_L3_error) } - } - } else { - switch (__pyx_nargs) { - case 4: - values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(4, 3273, __pyx_L3_error) - CYTHON_FALLTHROUGH; - case 3: - values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(4, 3273, __pyx_L3_error) - values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 3273, __pyx_L3_error) - values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 3273, __pyx_L3_error) - break; - default: goto __pyx_L5_argtuple_error; + if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "CDLLADDERBOTTOM", 0) < (0)) __PYX_ERR(5, 2025, __pyx_L3_error) + for (Py_ssize_t i = __pyx_nargs; i < 4; i++) { + if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("CDLLADDERBOTTOM", 1, 4, 4, i); __PYX_ERR(5, 2025, __pyx_L3_error) } } - } - __pyx_v_high = ((PyArrayObject *)values[0]); - __pyx_v_low = ((PyArrayObject *)values[1]); - __pyx_v_close = ((PyArrayObject *)values[2]); - if (values[3]) { - __pyx_v_timeperiod = __Pyx_PyLong_As_int(values[3]); if (unlikely((__pyx_v_timeperiod == (int)-1) && PyErr_Occurred())) __PYX_ERR(4, 3275, __pyx_L3_error) + } else if (unlikely(__pyx_nargs != 4)) { + goto __pyx_L5_argtuple_error; } else { - __pyx_v_timeperiod = ((int)((int)-2147483648)); + values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 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*__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_216EFI, "EFI(ndarray close, ndarray volume, int timeperiod=-0x80000000)\n\nEFI(close, volume[, timeperiod=?])\n\nElder's Force Index (Volume Indicators)\n\nInputs:\n prices: ['close', 'volume']\nParameters:\n timeperiod: 13\nOutputs:\n real"); -static PyMethodDef __pyx_mdef_5talib_7_ta_lib_217EFI = {"EFI", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_217EFI, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_216EFI}; -static PyObject *__pyx_pw_5talib_7_ta_lib_217EFI(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_138CDLLONGLEGGEDDOJI, "CDLLONGLEGGEDDOJI(ndarray open, ndarray high, ndarray low, ndarray close)\n\nCDLLONGLEGGEDDOJI(open, high, low, close)\n\nLong Legged Doji (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_139CDLLONGLEGGEDDOJI = {"CDLLONGLEGGEDDOJI", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_139CDLLONGLEGGEDDOJI, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_138CDLLONGLEGGEDDOJI}; +static PyObject *__pyx_pw_5talib_7_ta_lib_139CDLLONGLEGGEDDOJI(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { + PyArrayObject *__pyx_v_open = 0; + PyArrayObject *__pyx_v_high = 0; + PyArrayObject *__pyx_v_low = 0; PyArrayObject *__pyx_v_close = 0; - PyArrayObject *__pyx_v_volume = 0; - int __pyx_v_timeperiod; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[3] = {0,0,0}; + PyObject* values[4] = {0,0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("EFI (wrapper)", 0); + __Pyx_RefNannySetupContext("CDLLONGLEGGEDDOJI (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -28586,70 +27960,70 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_close,&__pyx_mstate_global->__pyx_n_u_volume,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_open,&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_close,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 3306, __pyx_L3_error) + if 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(!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 2057, __pyx_L3_error) CYTHON_FALLTHROUGH; case 0: break; default: goto __pyx_L5_argtuple_error; } const Py_ssize_t kwd_pos_args = __pyx_nargs; - if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "EFI", 0) < (0)) __PYX_ERR(4, 3306, __pyx_L3_error) - for (Py_ssize_t i = __pyx_nargs; i < 2; i++) { - if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("EFI", 0, 2, 3, i); __PYX_ERR(4, 3306, __pyx_L3_error) } - } - } else { - switch (__pyx_nargs) { - case 3: - values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(4, 3306, __pyx_L3_error) - CYTHON_FALLTHROUGH; - case 2: - values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 3306, __pyx_L3_error) - values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 3306, __pyx_L3_error) - break; - default: goto __pyx_L5_argtuple_error; + if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "CDLLONGLEGGEDDOJI", 0) < (0)) __PYX_ERR(5, 2057, __pyx_L3_error) + for (Py_ssize_t i = __pyx_nargs; i < 4; i++) { + if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("CDLLONGLEGGEDDOJI", 1, 4, 4, i); __PYX_ERR(5, 2057, __pyx_L3_error) } } - } - __pyx_v_close = ((PyArrayObject *)values[0]); - __pyx_v_volume = ((PyArrayObject *)values[1]); - if (values[2]) { - __pyx_v_timeperiod = __Pyx_PyLong_As_int(values[2]); if (unlikely((__pyx_v_timeperiod == (int)-1) && PyErr_Occurred())) __PYX_ERR(4, 3308, __pyx_L3_error) + } else if (unlikely(__pyx_nargs != 4)) { + goto __pyx_L5_argtuple_error; } else { - __pyx_v_timeperiod = ((int)((int)-2147483648)); + values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 2057, __pyx_L3_error) + values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 2057, __pyx_L3_error) + values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 2057, __pyx_L3_error) + values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 2057, __pyx_L3_error) } + __pyx_v_open = ((PyArrayObject *)values[0]); + __pyx_v_high = ((PyArrayObject *)values[1]); + __pyx_v_low = ((PyArrayObject *)values[2]); + __pyx_v_close = ((PyArrayObject *)values[3]); } goto __pyx_L6_skip; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("EFI", 0, 2, 3, __pyx_nargs); __PYX_ERR(4, 3306, __pyx_L3_error) + __Pyx_RaiseArgtupleInvalid("CDLLONGLEGGEDDOJI", 1, 4, 4, __pyx_nargs); __PYX_ERR(5, 2057, __pyx_L3_error) __pyx_L6_skip:; goto __pyx_L4_argument_unpacking_done; __pyx_L3_error:; for (Py_ssize_t __pyx_temp=0; 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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_real = 0; - int __pyx_v_timeperiod; + PyArrayObject *__pyx_v_open = 0; + PyArrayObject *__pyx_v_high = 0; + PyArrayObject *__pyx_v_low = 0; + PyArrayObject *__pyx_v_close = 0; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[2] = {0,0}; + PyObject* values[4] = {0,0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("ER (wrapper)", 0); + __Pyx_RefNannySetupContext("CDLMARUBOZU (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -28957,62 +28380,70 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - 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__pyx_L5_argtuple_error; } else { - __pyx_v_timeperiod = ((int)((int)-2147483648)); + values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 2121, __pyx_L3_error) + values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 2121, __pyx_L3_error) + values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 2121, __pyx_L3_error) + values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 2121, __pyx_L3_error) } + __pyx_v_open = ((PyArrayObject *)values[0]); + __pyx_v_high = ((PyArrayObject *)values[1]); + __pyx_v_low = ((PyArrayObject *)values[2]); + __pyx_v_close = ((PyArrayObject *)values[3]); } goto __pyx_L6_skip; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("ER", 0, 1, 2, __pyx_nargs); __PYX_ERR(4, 3369, __pyx_L3_error) + 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{&__pyx_mstate_global->__pyx_n_u_open,&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_close,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 3400, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 2153, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { case 4: values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(4, 3400, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 2153, __pyx_L3_error) CYTHON_FALLTHROUGH; case 3: values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(4, 3400, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 2153, __pyx_L3_error) CYTHON_FALLTHROUGH; case 2: values[1] = 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(&__pyx_v_outbegidx), (&__pyx_v_outnbelement), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_outreal)) + __pyx_v_lookback)); + __pyx_v_retCode = TA_CDLMATHOLD(0, __pyx_v_endidx, (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_open)) + __pyx_v_begidx), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_high)) + __pyx_v_begidx), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_low)) + __pyx_v_begidx), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_close)) + __pyx_v_begidx), __pyx_v_penetration, (&__pyx_v_outbegidx), (&__pyx_v_outnbelement), (((int *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_outinteger)) + __pyx_v_lookback)); - __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_EXP, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 3462, __pyx_L1_error) + __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_CDLMATHOLD, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) 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PyArrayObject *__pyx_v_low = 0; + PyArrayObject *__pyx_v_close = 0; + double __pyx_v_penetration; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[1] = {0}; + PyObject* values[5] = {0,0,0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("FLOOR (wrapper)", 0); + __Pyx_RefNannySetupContext("CDLMORNINGDOJISTAR (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -29519,46 +29028,86 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_open,&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_close,&__pyx_mstate_global->__pyx_n_u_penetration,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 3465, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 2219, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { + case 5: + values[4] = __Pyx_ArgRef_FASTCALL(__pyx_args, 4); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[4])) __PYX_ERR(5, 2219, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 4: + values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 2219, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 3: + values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 2219, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 2: + values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 2219, __pyx_L3_error) + CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 3465, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 2219, __pyx_L3_error) CYTHON_FALLTHROUGH; case 0: break; default: goto __pyx_L5_argtuple_error; } const Py_ssize_t kwd_pos_args = __pyx_nargs; - if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "FLOOR", 0) < (0)) __PYX_ERR(4, 3465, __pyx_L3_error) - for (Py_ssize_t i = __pyx_nargs; i < 1; i++) { - if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("FLOOR", 1, 1, 1, i); __PYX_ERR(4, 3465, __pyx_L3_error) } + if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, 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__pyx_v_timeperiod; + PyArrayObject *__pyx_v_open = 0; + PyArrayObject *__pyx_v_high = 0; + PyArrayObject *__pyx_v_low = 0; + PyArrayObject *__pyx_v_close = 0; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[2] = {0,0}; + PyObject* values[4] = {0,0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("HMA (wrapper)", 0); + __Pyx_RefNannySetupContext("CDLRICKSHAWMAN (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -30326,62 +29901,70 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_open,&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_close,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 3602, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 2351, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { + case 4: + values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 2351, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 3: + values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 2351, __pyx_L3_error) + CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 3602, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 2351, __pyx_L3_error) CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 3602, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 2351, __pyx_L3_error) CYTHON_FALLTHROUGH; case 0: break; default: goto __pyx_L5_argtuple_error; } const Py_ssize_t kwd_pos_args = __pyx_nargs; - if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "HMA", 0) < (0)) __PYX_ERR(4, 3602, __pyx_L3_error) - for (Py_ssize_t i = __pyx_nargs; i < 1; i++) { - if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("HMA", 0, 1, 2, i); __PYX_ERR(4, 3602, __pyx_L3_error) } - } - } else { - switch (__pyx_nargs) { - case 2: - values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 3602, __pyx_L3_error) - CYTHON_FALLTHROUGH; - case 1: - values[0] = 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CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[1] = {0}; + PyObject* values[4] = {0,0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("HT_DCPERIOD (wrapper)", 0); + __Pyx_RefNannySetupContext("CDLRISEFALL3METHODS (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -30502,46 +30111,70 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_open,&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_close,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? 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__pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_open,&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_close,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 3662, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 2415, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { + case 4: + values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 2415, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 3: + values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 2415, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 2: + values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); + if 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{"CDLSTICKSANDWICH", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_171CDLSTICKSANDWICH, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_170CDLSTICKSANDWICH}; +static PyObject *__pyx_pw_5talib_7_ta_lib_171CDLSTICKSANDWICH(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else @@ -31472,19 +31348,20 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { PyArrayObject *__pyx_v_open = 0; + PyArrayObject *__pyx_v_high = 0; + PyArrayObject *__pyx_v_low = 0; PyArrayObject *__pyx_v_close = 0; - int __pyx_v_timeperiod; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[3] = {0,0,0}; + PyObject* values[4] = {0,0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("IMI 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__pyx_doc_5talib_7_ta_lib_250KAMA}; -static PyObject *__pyx_pw_5talib_7_ta_lib_251KAMA(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_172CDLTAKURI, "CDLTAKURI(ndarray open, ndarray high, ndarray low, ndarray close)\n\nCDLTAKURI(open, high, low, close)\n\nTakuri (Dragonfly Doji with very long lower shadow) (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_173CDLTAKURI = {"CDLTAKURI", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_173CDLTAKURI, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_172CDLTAKURI}; +static PyObject *__pyx_pw_5talib_7_ta_lib_173CDLTAKURI(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_real = 0; - int 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{&__pyx_mstate_global->__pyx_n_u_open,&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_close,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 3845, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 2607, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { + case 4: + values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 2607, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 3: + values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 2607, __pyx_L3_error) + CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 3845, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) 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__Pyx_DECREF_SET(__pyx_v_low, ((PyArrayObject *)__pyx_t_1)); + __pyx_t_1 = 0; + + __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_check_array(__pyx_v_close)); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 2629, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF_SET(__pyx_v_close, ((PyArrayObject *)__pyx_t_1)); + __pyx_t_1 = 0; + + __pyx_t_2 = __pyx_f_5talib_7_ta_lib_check_length4(__pyx_v_open, __pyx_v_high, __pyx_v_low, __pyx_v_close); if (unlikely(__pyx_t_2 == ((npy_intp)-1L))) __PYX_ERR(5, 2630, __pyx_L1_error) + __pyx_v_length = __pyx_t_2; + + __pyx_t_3 = __pyx_f_5talib_7_ta_lib_check_begidx4(__pyx_v_length, ((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_open)), ((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_high)), ((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_low)), ((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_close))); if (unlikely(__pyx_t_3 == ((npy_int)-1) && PyErr_Occurred())) __PYX_ERR(5, 2631, __pyx_L1_error) + __pyx_v_begidx = __pyx_t_3; 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__pyx_v_endidx, (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_open)) + __pyx_v_begidx), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_high)) + __pyx_v_begidx), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_low)) + __pyx_v_begidx), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_close)) + __pyx_v_begidx), (&__pyx_v_outbegidx), (&__pyx_v_outnbelement), (((int *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_outinteger)) + __pyx_v_lookback)); - __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_KAMA, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 3873, __pyx_L1_error) + __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_CDLTAKURI, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 2636, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_XDECREF(__pyx_r); - __Pyx_INCREF((PyObject *)__pyx_v_outreal); - __pyx_r = ((PyObject *)__pyx_v_outreal); + __Pyx_INCREF((PyObject *)__pyx_v_outinteger); + __pyx_r = ((PyObject *)__pyx_v_outinteger); goto __pyx_L0; /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.KAMA", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.CDLTAKURI", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; - __Pyx_XDECREF((PyObject *)__pyx_v_outreal); - __Pyx_XDECREF((PyObject *)__pyx_v_real); + __Pyx_XDECREF((PyObject *)__pyx_v_outinteger); + __Pyx_XDECREF((PyObject *)__pyx_v_open); + __Pyx_XDECREF((PyObject *)__pyx_v_high); + __Pyx_XDECREF((PyObject *)__pyx_v_low); + __Pyx_XDECREF((PyObject *)__pyx_v_close); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; @@ -31827,39 +31751,37 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_250KAMA(CYTHON_UNUSED PyObject *__pyx_ /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_253KC(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_175CDLTASUKIGAP(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_252KC, "KC(ndarray high, ndarray low, ndarray close, int timeperiod=-0x80000000, int atrperiod=-0x80000000, double nbdev=-4e37)\n\nKC(high, low, close[, timeperiod=?, atrperiod=?, nbdev=?])\n\nKeltner Channels (Overlap Studies)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 20\n atrperiod: 10\n nbdev: 2.0\nOutputs:\n upperband\n middleband\n lowerband"); -static PyMethodDef __pyx_mdef_5talib_7_ta_lib_253KC = {"KC", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_253KC, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_252KC}; -static PyObject *__pyx_pw_5talib_7_ta_lib_253KC(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_174CDLTASUKIGAP, "CDLTASUKIGAP(ndarray open, ndarray high, ndarray low, ndarray close)\n\nCDLTASUKIGAP(open, high, low, close)\n\nTasuki Gap (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_175CDLTASUKIGAP = {"CDLTASUKIGAP", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_175CDLTASUKIGAP, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_174CDLTASUKIGAP}; +static PyObject *__pyx_pw_5talib_7_ta_lib_175CDLTASUKIGAP(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { + PyArrayObject *__pyx_v_open = 0; PyArrayObject *__pyx_v_high = 0; PyArrayObject *__pyx_v_low = 0; PyArrayObject *__pyx_v_close = 0; - int __pyx_v_timeperiod; - int __pyx_v_atrperiod; - double __pyx_v_nbdev; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[6] = {0,0,0,0,0,0}; + PyObject* values[4] = {0,0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("KC (wrapper)", 0); + __Pyx_RefNannySetupContext("CDLTASUKIGAP (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -31869,104 +31791,70 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_close,&__pyx_mstate_global->__pyx_n_u_timeperiod,&__pyx_mstate_global->__pyx_n_u_atrperiod,&__pyx_mstate_global->__pyx_n_u_nbdev,0}; + 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Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_177CDLTHRUSTING = {"CDLTHRUSTING", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_177CDLTHRUSTING, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_176CDLTHRUSTING}; +static PyObject *__pyx_pw_5talib_7_ta_lib_177CDLTHRUSTING(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { + PyArrayObject *__pyx_v_open = 0; PyArrayObject *__pyx_v_high = 0; PyArrayObject *__pyx_v_low = 0; PyArrayObject *__pyx_v_close = 0; - int __pyx_v_fastk_period; - int __pyx_v_slowk_period; - int __pyx_v_slowk_matype; - int __pyx_v_slowd_period; - int __pyx_v_slowd_matype; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject 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__pyx_doc_5talib_7_ta_lib_180CDLUNIQUE3RIVER}; +static PyObject *__pyx_pw_5talib_7_ta_lib_181CDLUNIQUE3RIVER(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_real = 0; - int __pyx_v_timeperiod; + PyArrayObject *__pyx_v_open = 0; + PyArrayObject *__pyx_v_high = 0; + PyArrayObject *__pyx_v_low = 0; + PyArrayObject *__pyx_v_close = 0; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[2] = {0,0}; + PyObject* values[4] = {0,0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("LINEARREG_ANGLE (wrapper)", 0); + __Pyx_RefNannySetupContext("CDLUNIQUE3RIVER (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = 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__Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.LINEARREG_INTERCEPT", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.CDLUPSIDEGAP2CROWS", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; - __Pyx_XDECREF((PyObject *)__pyx_v_outreal); - __Pyx_XDECREF((PyObject *)__pyx_v_real); + __Pyx_XDECREF((PyObject *)__pyx_v_outinteger); + __Pyx_XDECREF((PyObject *)__pyx_v_open); + __Pyx_XDECREF((PyObject *)__pyx_v_high); + __Pyx_XDECREF((PyObject *)__pyx_v_low); + __Pyx_XDECREF((PyObject *)__pyx_v_close); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; @@ -32914,35 +32801,37 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_260LINEARREG_INTERCEPT(CYTHON_UNUSED P /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_263LINEARREG_SLOPE(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_185CDLXSIDEGAP3METHODS(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, 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(Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_185CDLXSIDEGAP3METHODS = {"CDLXSIDEGAP3METHODS", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_185CDLXSIDEGAP3METHODS, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_184CDLXSIDEGAP3METHODS}; +static PyObject *__pyx_pw_5talib_7_ta_lib_185CDLXSIDEGAP3METHODS(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_real = 0; - int __pyx_v_timeperiod; + PyArrayObject *__pyx_v_open = 0; + PyArrayObject *__pyx_v_high = 0; + PyArrayObject *__pyx_v_low = 0; + PyArrayObject *__pyx_v_close = 0; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - 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__Pyx_ArgRef_FASTCALL(__pyx_args, 2); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 2799, __pyx_L3_error) + values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 2799, __pyx_L3_error) } + __pyx_v_open = ((PyArrayObject *)values[0]); + __pyx_v_high = ((PyArrayObject *)values[1]); + __pyx_v_low = ((PyArrayObject *)values[2]); + __pyx_v_close = ((PyArrayObject *)values[3]); } goto __pyx_L6_skip; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("LINEARREG_SLOPE", 0, 1, 2, __pyx_nargs); __PYX_ERR(4, 4053, __pyx_L3_error) + __Pyx_RaiseArgtupleInvalid("CDLXSIDEGAP3METHODS", 1, 4, 4, __pyx_nargs); __PYX_ERR(5, 2799, __pyx_L3_error) __pyx_L6_skip:; goto __pyx_L4_argument_unpacking_done; __pyx_L3_error:; for (Py_ssize_t __pyx_temp=0; __pyx_temp < (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) { Py_XDECREF(values[__pyx_temp]); } - __Pyx_AddTraceback("talib._ta_lib.LINEARREG_SLOPE", 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PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_close,&__pyx_mstate_global->__pyx_n_u_volume,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 4113, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 2860, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { + case 5: + values[4] = __Pyx_ArgRef_FASTCALL(__pyx_args, 4); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[4])) __PYX_ERR(5, 2860, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 4: + values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 2860, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 3: + values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 2860, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 2: + values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 2860, __pyx_L3_error) + CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 4113, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 2860, __pyx_L3_error) CYTHON_FALLTHROUGH; case 0: break; default: goto __pyx_L5_argtuple_error; } const Py_ssize_t kwd_pos_args = __pyx_nargs; - if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "LOG10", 0) < (0)) __PYX_ERR(4, 4113, __pyx_L3_error) - for (Py_ssize_t i = __pyx_nargs; i < 1; i++) { - if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("LOG10", 1, 1, 1, i); __PYX_ERR(4, 4113, __pyx_L3_error) } + if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, 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(PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_191CMO, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_190CMO}; +static PyObject *__pyx_pw_5talib_7_ta_lib_191CMO(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else @@ -33429,18 +33416,17 @@ PyObject *__pyx_args, PyObject *__pyx_kwds ) { PyArrayObject *__pyx_v_real = 0; int __pyx_v_timeperiod; - int __pyx_v_matype; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[3] = {0,0,0}; + PyObject* values[2] = {0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("MA (wrapper)", 0); + __Pyx_RefNannySetupContext("CMO (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = 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(unlikely(!__pyx_t_1)) __PYX_ERR(4, 4171, __pyx_L1_error) + __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_CMO, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 2922, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; @@ -33590,7 +33563,7 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_268MA(CYTHON_UNUSED PyObject *__pyx_se /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.MA", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.CMO", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_outreal); @@ -33602,16 +33575,16 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_268MA(CYTHON_UNUSED PyObject *__pyx_se /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_271MACD(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_193CMOU(PyObject *__pyx_self, #if 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timeperiod=-0x80000000)\n\nCMOU(real[, timeperiod=?])\n\nChande Momentum Oscillator (Unsmoothed) (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_193CMOU = {"CMOU", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_193CMOU, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_192CMOU}; +static PyObject *__pyx_pw_5talib_7_ta_lib_193CMOU(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else @@ -33619,20 +33592,18 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { PyArrayObject *__pyx_v_real = 0; - int __pyx_v_fastperiod; - int __pyx_v_slowperiod; - int __pyx_v_signalperiod; + int __pyx_v_timeperiod; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[4] = {0,0,0,0}; + PyObject* values[2] = {0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("MACD (wrapper)", 0); + __Pyx_RefNannySetupContext("CMOU (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -33642,88 +33613,62 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_fastperiod,&__pyx_mstate_global->__pyx_n_u_slowperiod,&__pyx_mstate_global->__pyx_n_u_signalperiod,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 4174, 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PyMethodDef __pyx_mdef_5talib_7_ta_lib_195COPPOCK = {"COPPOCK", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_195COPPOCK, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_194COPPOCK}; +static PyObject *__pyx_pw_5talib_7_ta_lib_195COPPOCK(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else @@ -33849,23 +33769,20 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { PyArrayObject *__pyx_v_real = 0; - int __pyx_v_fastperiod; - int __pyx_v_fastmatype; - int __pyx_v_slowperiod; - int __pyx_v_slowmatype; - int __pyx_v_signalperiod; - int __pyx_v_signalmatype; + int __pyx_v_wmaperiod; + int __pyx_v_roc1period; + int __pyx_v_roc2period; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[7] = {0,0,0,0,0,0,0}; + PyObject* values[4] = {0,0,0,0}; int __pyx_lineno = 0; const char 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{&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_fastlimit,&__pyx_mstate_global->__pyx_n_u_slowlimit,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 4292, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 3022, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { - case 3: - values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(4, 4292, __pyx_L3_error) - CYTHON_FALLTHROUGH; - case 2: - values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 4292, __pyx_L3_error) - CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 4292, __pyx_L3_error) + if 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(Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_201COSH = {"COSH", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_201COSH, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_200COSH}; +static PyObject *__pyx_pw_5talib_7_ta_lib_201COSH(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_high = 0; - PyArrayObject *__pyx_v_low = 0; - PyArrayObject *__pyx_v_volume = 0; + PyArrayObject *__pyx_v_real = 0; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[3] = {0,0,0}; + PyObject* values[1] = {0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - 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__pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.DEMA", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_outreal); @@ -35315,24 +35018,24 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_284MAX(CYTHON_UNUSED PyObject *__pyx_s /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_287MAXINDEX(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_209DIV(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_286MAXINDEX, "MAXINDEX(ndarray real, int timeperiod=-0x80000000)\n\nMAXINDEX(real[, timeperiod=?])\n\nIndex of highest value over a specified period (Math Operators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n integer"); -static PyMethodDef 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- PyArrayObject *__pyx_v_real = 0; - int __pyx_v_timeperiod; + PyArrayObject *__pyx_v_real0 = 0; + PyArrayObject *__pyx_v_real1 = 0; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif @@ -35343,7 +35046,7 @@ PyObject *__pyx_args, PyObject *__pyx_kwds int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("MAXINDEX (wrapper)", 0); + __Pyx_RefNannySetupContext("DIV (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -35353,62 +35056,54 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real0,&__pyx_mstate_global->__pyx_n_u_real1,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? 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(__pyx_v_outinteger_data[__pyx_t_4]) = ((__pyx_v_outinteger_data[__pyx_t_4]) + __pyx_v_begidx); - } - __Pyx_XDECREF(__pyx_r); - __Pyx_INCREF((PyObject *)__pyx_v_outinteger); - __pyx_r = ((PyObject *)__pyx_v_outinteger); + __Pyx_INCREF((PyObject *)__pyx_v_outreal); + __pyx_r = ((PyObject *)__pyx_v_outreal); goto __pyx_L0; /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.MAXINDEX", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.DIV", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; - __Pyx_XDECREF((PyObject *)__pyx_v_outinteger); - __Pyx_XDECREF((PyObject *)__pyx_v_real); + __Pyx_XDECREF((PyObject *)__pyx_v_outreal); + __Pyx_XDECREF((PyObject *)__pyx_v_real0); + __Pyx_XDECREF((PyObject *)__pyx_v_real1); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; @@ -35505,16 +35196,16 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_286MAXINDEX(CYTHON_UNUSED PyObject *__ /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_289MEDPRICE(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_211DONCHIAN(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_288MEDPRICE, "MEDPRICE(ndarray high, ndarray low)\n\nMEDPRICE(high, low)\n\nMedian Price (Price Transform)\n\nInputs:\n prices: ['high', 'low']\nOutputs:\n real"); -static PyMethodDef __pyx_mdef_5talib_7_ta_lib_289MEDPRICE = {"MEDPRICE", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_289MEDPRICE, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_288MEDPRICE}; -static PyObject *__pyx_pw_5talib_7_ta_lib_289MEDPRICE(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_210DONCHIAN, "DONCHIAN(ndarray high, ndarray low, int 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case 0: break; default: goto __pyx_L5_argtuple_error; } const Py_ssize_t kwd_pos_args = __pyx_nargs; - if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "MFI", 0) < (0)) __PYX_ERR(4, 4521, __pyx_L3_error) - for (Py_ssize_t i = __pyx_nargs; i < 4; i++) { - if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("MFI", 0, 4, 5, i); __PYX_ERR(4, 4521, __pyx_L3_error) } + if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "DPO", 0) < (0)) __PYX_ERR(5, 3242, __pyx_L3_error) + for (Py_ssize_t i = __pyx_nargs; i < 1; i++) { + if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("DPO", 0, 1, 2, i); __PYX_ERR(5, 3242, __pyx_L3_error) } } } else { switch (__pyx_nargs) { - case 5: - values[4] = __Pyx_ArgRef_FASTCALL(__pyx_args, 4); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[4])) __PYX_ERR(4, 4521, __pyx_L3_error) - CYTHON_FALLTHROUGH; - case 4: - values[3] = 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Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_real = 0; + PyArrayObject *__pyx_v_high = 0; + PyArrayObject *__pyx_v_low = 0; + PyArrayObject *__pyx_v_close = 0; int __pyx_v_timeperiod; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[2] = {0,0}; + PyObject* values[4] = {0,0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("MIDPOINT (wrapper)", 0); + __Pyx_RefNannySetupContext("DX (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -35948,62 +35633,78 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_close,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 4555, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 3273, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { + case 4: + values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 3273, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 3: + values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 3273, __pyx_L3_error) + CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if 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__pyx_v_length = (__pyx_f_5numpy_7ndarray_5shape_shape(__pyx_v_real)[0]); + __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_check_array(__pyx_v_low)); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 3295, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF_SET(__pyx_v_low, ((PyArrayObject *)__pyx_t_1)); + __pyx_t_1 = 0; - __pyx_t_2 = __pyx_f_5talib_7_ta_lib_check_begidx1(__pyx_v_length, ((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_real))); if (unlikely(__pyx_t_2 == ((npy_int)-1) && PyErr_Occurred())) __PYX_ERR(4, 4578, __pyx_L1_error) - __pyx_v_begidx = __pyx_t_2; + __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_check_array(__pyx_v_close)); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 3296, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __Pyx_DECREF_SET(__pyx_v_close, ((PyArrayObject *)__pyx_t_1)); + __pyx_t_1 = 0; + + __pyx_t_2 = __pyx_f_5talib_7_ta_lib_check_length3(__pyx_v_high, __pyx_v_low, __pyx_v_close); if (unlikely(__pyx_t_2 == ((npy_intp)-1L))) __PYX_ERR(5, 3297, __pyx_L1_error) + __pyx_v_length = __pyx_t_2; + + __pyx_t_3 = __pyx_f_5talib_7_ta_lib_check_begidx3(__pyx_v_length, ((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_high)), ((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_low)), ((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_close))); if (unlikely(__pyx_t_3 == ((npy_int)-1) && PyErr_Occurred())) __PYX_ERR(5, 3298, __pyx_L1_error) + __pyx_v_begidx = __pyx_t_3; __pyx_v_endidx = ((((int)__pyx_v_length) - __pyx_v_begidx) - 1); - __pyx_v_lookback = (__pyx_v_begidx + TA_MIDPOINT_Lookback(__pyx_v_timeperiod)); + __pyx_v_lookback = (__pyx_v_begidx + TA_DX_Lookback(__pyx_v_timeperiod)); - __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_make_double_array(__pyx_v_length, __pyx_v_lookback)); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 4581, __pyx_L1_error) + __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_make_double_array(__pyx_v_length, __pyx_v_lookback)); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 3301, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __pyx_v_outreal = ((PyArrayObject *)__pyx_t_1); __pyx_t_1 = 0; - __pyx_v_retCode = TA_MIDPOINT(0, __pyx_v_endidx, (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_real)) + __pyx_v_begidx), __pyx_v_timeperiod, (&__pyx_v_outbegidx), (&__pyx_v_outnbelement), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_outreal)) + __pyx_v_lookback)); + __pyx_v_retCode = TA_DX(0, __pyx_v_endidx, (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_high)) + __pyx_v_begidx), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_low)) + __pyx_v_begidx), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_close)) + __pyx_v_begidx), __pyx_v_timeperiod, (&__pyx_v_outbegidx), (&__pyx_v_outnbelement), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_outreal)) + __pyx_v_lookback)); - __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_MIDPOINT, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 4583, __pyx_L1_error) + __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_DX, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 3303, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; @@ -36075,11 +35790,13 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_292MIDPOINT(CYTHON_UNUSED PyObject *__ /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.MIDPOINT", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.DX", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_outreal); - __Pyx_XDECREF((PyObject *)__pyx_v_real); + __Pyx_XDECREF((PyObject *)__pyx_v_high); + __Pyx_XDECREF((PyObject *)__pyx_v_low); + __Pyx_XDECREF((PyObject *)__pyx_v_close); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; @@ -36087,24 +35804,24 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_292MIDPOINT(CYTHON_UNUSED PyObject *__ /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_295MIDPRICE(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_217EFI(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_294MIDPRICE, "MIDPRICE(ndarray high, ndarray low, int timeperiod=-0x80000000)\n\nMIDPRICE(high, low[, timeperiod=?])\n\nMidpoint Price over period (Overlap Studies)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n timeperiod: 14\nOutputs:\n real"); -static PyMethodDef __pyx_mdef_5talib_7_ta_lib_295MIDPRICE = {"MIDPRICE", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_295MIDPRICE, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_294MIDPRICE}; -static PyObject *__pyx_pw_5talib_7_ta_lib_295MIDPRICE(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_216EFI, "EFI(ndarray close, ndarray volume, int timeperiod=-0x80000000)\n\nEFI(close, volume[, timeperiod=?])\n\nElder's Force Index (Volume Indicators)\n\nInputs:\n prices: ['close', 'volume']\nParameters:\n timeperiod: 13\nOutputs:\n real"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_217EFI = {"EFI", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_217EFI, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_216EFI}; +static PyObject *__pyx_pw_5talib_7_ta_lib_217EFI(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_high = 0; - PyArrayObject *__pyx_v_low = 0; + PyArrayObject *__pyx_v_close = 0; + PyArrayObject *__pyx_v_volume = 0; int __pyx_v_timeperiod; #if 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__pyx_doc_5talib_7_ta_lib_296MIN}; -static PyObject *__pyx_pw_5talib_7_ta_lib_297MIN(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_218EMA, "EMA(ndarray real, int timeperiod=-0x80000000)\n\nEMA(real[, timeperiod=?])\n\nExponential Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_219EMA = {"EMA", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_219EMA, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_218EMA}; +static PyObject *__pyx_pw_5talib_7_ta_lib_219EMA(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else @@ -36310,7 +36027,7 @@ PyObject *__pyx_args, PyObject *__pyx_kwds int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("MIN (wrapper)", 0); + __Pyx_RefNannySetupContext("EMA 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timeperiod=-0x80000000)\n\nERI(high, low, close[, timeperiod=?])\n\nElder Ray Index (Bull Power / Bear Power) (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 13\nOutputs:\n bullpower\n bearpower"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_223ERI = {"ERI", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_223ERI, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_222ERI}; +static PyObject *__pyx_pw_5talib_7_ta_lib_223ERI(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_real = 0; + PyArrayObject *__pyx_v_high = 0; + PyArrayObject *__pyx_v_low = 0; + PyArrayObject *__pyx_v_close = 0; int __pyx_v_timeperiod; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - 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real"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_225EXP = {"EXP", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_225EXP, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_224EXP}; +static PyObject *__pyx_pw_5talib_7_ta_lib_225EXP(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else @@ -36858,18 +36596,17 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { PyArrayObject *__pyx_v_real = 0; - int __pyx_v_timeperiod; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[2] = {0,0}; + PyObject* values[1] = {0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("MINMAXINDEX (wrapper)", 0); + __Pyx_RefNannySetupContext("EXP (wrapper)", 0); #if !CYTHON_METH_FASTCALL 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const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("MOM (wrapper)", 0); + __Pyx_RefNannySetupContext("FRACTAL (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -37500,62 +37116,83 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_leftbars,&__pyx_mstate_global->__pyx_n_u_rightbars,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 4822, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 3525, 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*__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_real0 = 0; - PyArrayObject *__pyx_v_real1 = 0; + PyArrayObject *__pyx_v_open = 0; + PyArrayObject *__pyx_v_high = 0; + PyArrayObject *__pyx_v_low = 0; + PyArrayObject *__pyx_v_close = 0; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[2] = {0,0}; + PyObject* values[4] = {0,0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("MULT (wrapper)", 0); + __Pyx_RefNannySetupContext("HA (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -37677,54 +37340,70 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real0,&__pyx_mstate_global->__pyx_n_u_real1,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_open,&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_close,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 4853, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 3561, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { + case 4: + values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 3561, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 3: + values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 3561, __pyx_L3_error) + CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if 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(unlikely(!__pyx_t_1)) __PYX_ERR(4, 4914, __pyx_L1_error) + __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_HMA, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 3630, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; @@ -38014,13 +37710,11 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_312NATR(CYTHON_UNUSED PyObject *__pyx_ /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.NATR", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.HMA", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_outreal); - __Pyx_XDECREF((PyObject *)__pyx_v_high); - __Pyx_XDECREF((PyObject *)__pyx_v_low); - __Pyx_XDECREF((PyObject *)__pyx_v_close); + __Pyx_XDECREF((PyObject *)__pyx_v_real); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; @@ -38028,35 +37722,34 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_312NATR(CYTHON_UNUSED PyObject *__pyx_ /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_315NVI(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_237HT_DCPERIOD(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_314NVI, "NVI(ndarray close, ndarray volume)\n\nNVI(close, volume)\n\nNegative Volume Index (Volume Indicators)\n\nInputs:\n prices: ['close', 'volume']\nOutputs:\n real"); -static PyMethodDef __pyx_mdef_5talib_7_ta_lib_315NVI = {"NVI", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_315NVI, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_314NVI}; -static PyObject *__pyx_pw_5talib_7_ta_lib_315NVI(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_236HT_DCPERIOD, "HT_DCPERIOD(ndarray real)\n\nHT_DCPERIOD(real)\n\nHilbert Transform - Dominant Cycle Period (Cycle Indicators)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_237HT_DCPERIOD = {"HT_DCPERIOD", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_237HT_DCPERIOD, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_236HT_DCPERIOD}; +static PyObject *__pyx_pw_5talib_7_ta_lib_237HT_DCPERIOD(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_close = 0; - PyArrayObject *__pyx_v_volume = 0; + PyArrayObject *__pyx_v_real = 0; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[2] = {0,0}; + PyObject* values[1] = {0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("NVI (wrapper)", 0); + __Pyx_RefNannySetupContext("HT_DCPERIOD (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -38066,54 +37759,46 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_close,&__pyx_mstate_global->__pyx_n_u_volume,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 4917, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 3633, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { - case 2: - values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 4917, __pyx_L3_error) - CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 4917, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 3633, __pyx_L3_error) CYTHON_FALLTHROUGH; case 0: break; default: goto __pyx_L5_argtuple_error; } const Py_ssize_t kwd_pos_args = __pyx_nargs; - if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "NVI", 0) < (0)) __PYX_ERR(4, 4917, __pyx_L3_error) - for (Py_ssize_t i = __pyx_nargs; i < 2; i++) { - if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("NVI", 1, 2, 2, i); __PYX_ERR(4, 4917, __pyx_L3_error) } + if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "HT_DCPERIOD", 0) < (0)) __PYX_ERR(5, 3633, __pyx_L3_error) + for (Py_ssize_t i = 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PyObject* values[2] = {0,0}; + PyObject* values[1] = {0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("OBV (wrapper)", 0); + __Pyx_RefNannySetupContext("HT_DCPHASE (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -38244,54 +37919,46 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_volume,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 4947, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 3662, __pyx_L3_error) if (__pyx_kwds_len > 0) 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@@ -38384,16 +38042,16 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_316OBV(CYTHON_UNUSED PyObject *__pyx_s /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_319PERCENTILE(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_241HT_PHASOR(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_318PERCENTILE, "PERCENTILE(ndarray real, int timeperiod=-0x80000000, double percentile=50.0)\n\nPERCENTILE(real[, timeperiod=?, percentile=?])\n\nPercentile (nearest rank) (Statistic Functions)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\n percentile: 50.0\nOutputs:\n real"); -static PyMethodDef __pyx_mdef_5talib_7_ta_lib_319PERCENTILE = {"PERCENTILE", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_319PERCENTILE, 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CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[3] = {0,0,0}; + PyObject* values[1] = {0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("PLUS_DM (wrapper)", 0); + __Pyx_RefNannySetupContext("HT_TRENDMODE (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -39002,70 +38589,46 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 5074, 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(unlikely(!__pyx_t_1)) __PYX_ERR(4, 5164, __pyx_L1_error) + __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_make_double_array(__pyx_v_length, __pyx_v_lookback)); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 3871, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __pyx_v_outreal = ((PyArrayObject *)__pyx_t_1); __pyx_t_1 = 0; - __pyx_v_retCode = TA_PVI(0, __pyx_v_endidx, (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_close)) + __pyx_v_begidx), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_volume)) + __pyx_v_begidx), (&__pyx_v_outbegidx), (&__pyx_v_outnbelement), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_outreal)) + __pyx_v_lookback)); + __pyx_v_retCode = TA_KAMA(0, __pyx_v_endidx, (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_real)) + __pyx_v_begidx), __pyx_v_timeperiod, (&__pyx_v_outbegidx), (&__pyx_v_outnbelement), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_outreal)) + __pyx_v_lookback)); - __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_PVI, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 5166, __pyx_L1_error) + __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_KAMA, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 3873, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; @@ -39528,12 +39072,11 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_328PVI(CYTHON_UNUSED PyObject *__pyx_s /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.PVI", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.KAMA", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_outreal); - __Pyx_XDECREF((PyObject *)__pyx_v_close); - __Pyx_XDECREF((PyObject *)__pyx_v_volume); + __Pyx_XDECREF((PyObject *)__pyx_v_real); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; @@ -39541,37 +39084,39 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_328PVI(CYTHON_UNUSED PyObject *__pyx_s /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_331PVO(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_253KC(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_330PVO, "PVO(ndarray volume, int fastperiod=-0x80000000, int slowperiod=-0x80000000, int matype=1)\n\nPVO(volume[, fastperiod=?, slowperiod=?, matype=?])\n\nPercentage Volume Oscillator (Volume Indicators)\n\nInputs:\n prices: ['volume']\nParameters:\n fastperiod: 12\n slowperiod: 26\n matype: 1 (Exponential Moving Average)\nOutputs:\n real"); -static PyMethodDef __pyx_mdef_5talib_7_ta_lib_331PVO = {"PVO", 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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_volume = 0; - int __pyx_v_fastperiod; - int __pyx_v_slowperiod; - int __pyx_v_matype; + PyArrayObject *__pyx_v_high = 0; + PyArrayObject *__pyx_v_low = 0; + PyArrayObject *__pyx_v_close = 0; + int __pyx_v_timeperiod; + int __pyx_v_atrperiod; + double __pyx_v_nbdev; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[4] = {0,0,0,0}; + PyObject* values[6] = {0,0,0,0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("PVO (wrapper)", 0); + __Pyx_RefNannySetupContext("KC (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -39581,88 +39126,104 @@ PyObject *__pyx_args, 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__Pyx_RaiseArgtupleInvalid("KC", 0, 3, 6, i); __PYX_ERR(5, 3876, __pyx_L3_error) } } } else { switch (__pyx_nargs) { + case 6: + values[5] = __Pyx_ArgRef_FASTCALL(__pyx_args, 5); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[5])) __PYX_ERR(5, 3876, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 5: + values[4] = __Pyx_ArgRef_FASTCALL(__pyx_args, 4); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[4])) __PYX_ERR(5, 3876, __pyx_L3_error) + CYTHON_FALLTHROUGH; case 4: values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(4, 5169, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 3876, __pyx_L3_error) CYTHON_FALLTHROUGH; case 3: values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(4, 5169, __pyx_L3_error) - CYTHON_FALLTHROUGH; - case 2: + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 3876, 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__Pyx_AddTraceback("talib._ta_lib.PVO", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.KC", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; - __Pyx_XDECREF((PyObject *)__pyx_v_outreal); - __Pyx_XDECREF((PyObject *)__pyx_v_volume); + __Pyx_XDECREF((PyObject *)__pyx_v_outrealupperband); + __Pyx_XDECREF((PyObject *)__pyx_v_outrealmiddleband); + __Pyx_XDECREF((PyObject *)__pyx_v_outreallowerband); + __Pyx_XDECREF((PyObject *)__pyx_v_high); + __Pyx_XDECREF((PyObject *)__pyx_v_low); + __Pyx_XDECREF((PyObject *)__pyx_v_close); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; @@ -39746,35 +39348,41 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_330PVO(CYTHON_UNUSED PyObject *__pyx_s /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_333PVT(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_255KDJ(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_332PVT, "PVT(ndarray close, ndarray volume)\n\nPVT(close, volume)\n\nPrice Volume Trend (Volume Indicators)\n\nInputs:\n prices: ['close', 'volume']\nOutputs:\n real"); -static PyMethodDef __pyx_mdef_5talib_7_ta_lib_333PVT = {"PVT", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_333PVT, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_332PVT}; -static PyObject *__pyx_pw_5talib_7_ta_lib_333PVT(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_254KDJ, "KDJ(ndarray high, ndarray low, ndarray close, int fastk_period=-0x80000000, int slowk_period=-0x80000000, int slowk_matype=13, int slowd_period=-0x80000000, int slowd_matype=13)\n\nKDJ(high, low, close[, fastk_period=?, slowk_period=?, slowk_matype=?, slowd_period=?, slowd_matype=?])\n\nKDJ Stochastic (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n fastk_period: 9\n slowk_period: 3\n slowk_matype: 13 (Wilder's Smoothed Moving Average)\n slowd_period: 3\n slowd_matype: 13 (Wilder's Smoothed Moving Average)\nOutputs:\n k\n d\n j"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_255KDJ = {"KDJ", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_255KDJ, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_254KDJ}; +static PyObject *__pyx_pw_5talib_7_ta_lib_255KDJ(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { + PyArrayObject *__pyx_v_high = 0; + PyArrayObject *__pyx_v_low = 0; PyArrayObject *__pyx_v_close = 0; - PyArrayObject *__pyx_v_volume = 0; + int __pyx_v_fastk_period; + int __pyx_v_slowk_period; + int __pyx_v_slowk_matype; + int __pyx_v_slowd_period; + int __pyx_v_slowd_matype; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[2] = {0,0}; + PyObject* values[8] = {0,0,0,0,0,0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("PVT (wrapper)", 0); + __Pyx_RefNannySetupContext("KDJ (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -39784,54 +39392,130 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_close,&__pyx_mstate_global->__pyx_n_u_volume,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_close,&__pyx_mstate_global->__pyx_n_u_fastk_period,&__pyx_mstate_global->__pyx_n_u_slowk_period,&__pyx_mstate_global->__pyx_n_u_slowk_matype,&__pyx_mstate_global->__pyx_n_u_slowd_period,&__pyx_mstate_global->__pyx_n_u_slowd_matype,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 5202, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 3917, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { + case 8: + values[7] = __Pyx_ArgRef_FASTCALL(__pyx_args, 7); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[7])) __PYX_ERR(5, 3917, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 7: + values[6] = __Pyx_ArgRef_FASTCALL(__pyx_args, 6); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[6])) __PYX_ERR(5, 3917, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 6: + values[5] = __Pyx_ArgRef_FASTCALL(__pyx_args, 5); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[5])) __PYX_ERR(5, 3917, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 5: + values[4] = __Pyx_ArgRef_FASTCALL(__pyx_args, 4); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[4])) __PYX_ERR(5, 3917, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 4: + values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 3917, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 3: + values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 3917, __pyx_L3_error) + CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 5202, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 3917, __pyx_L3_error) CYTHON_FALLTHROUGH; case 1: values[0] = 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__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; @@ -40106,12 +39805,11 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_334QSTICK(CYTHON_UNUSED PyObject *__py /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.QSTICK", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.LINEARREG", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_outreal); - __Pyx_XDECREF((PyObject *)__pyx_v_open); - __Pyx_XDECREF((PyObject *)__pyx_v_close); + __Pyx_XDECREF((PyObject *)__pyx_v_real); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; @@ -40119,16 +39817,16 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_334QSTICK(CYTHON_UNUSED PyObject *__py /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_337RMA(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_259LINEARREG_ANGLE(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const 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real)\n\nLN(real)\n\nVector Log Natural (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_265LN = {"LN", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_265LN, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_264LN}; +static PyObject *__pyx_pw_5talib_7_ta_lib_265LN(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else @@ -40844,18 +40365,17 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { PyArrayObject *__pyx_v_real = 0; - int __pyx_v_timeperiod; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[2] = {0,0}; + PyObject* values[1] = {0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("ROCR100 (wrapper)", 0); + __Pyx_RefNannySetupContext("LN (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -40865,62 +40385,46 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 5388, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 4084, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { - case 2: - values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 5388, __pyx_L3_error) - CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 5388, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 4084, __pyx_L3_error) CYTHON_FALLTHROUGH; case 0: break; default: goto __pyx_L5_argtuple_error; } const Py_ssize_t kwd_pos_args = __pyx_nargs; - if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "ROCR100", 0) < (0)) __PYX_ERR(4, 5388, __pyx_L3_error) + if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "LN", 0) < (0)) __PYX_ERR(5, 4084, __pyx_L3_error) for (Py_ssize_t i = __pyx_nargs; i < 1; i++) { - if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("ROCR100", 0, 1, 2, i); __PYX_ERR(4, 5388, __pyx_L3_error) } + if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("LN", 1, 1, 1, i); __PYX_ERR(5, 4084, __pyx_L3_error) } } + 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*__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("RSI (wrapper)", 0); + __Pyx_RefNannySetupContext("LOG10 (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -41042,62 +40545,46 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 5419, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 4113, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { - case 2: - values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) 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(((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_outreal)) + __pyx_v_lookback)); - __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_RSI, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 5447, __pyx_L1_error) + __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_LOG10, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 4139, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; @@ -41169,7 +40656,7 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_346RSI(CYTHON_UNUSED PyObject *__pyx_s /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.RSI", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.LOG10", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_outreal); @@ -41181,16 +40668,16 @@ static PyObject 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__pyx_nargs; #endif @@ -41210,7 +40697,7 @@ PyObject *__pyx_args, PyObject *__pyx_kwds int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("RVI (wrapper)", 0); + __Pyx_RefNannySetupContext("MA (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -41220,75 +40707,75 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_timeperiod,&__pyx_mstate_global->__pyx_n_u_stddevperiod,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_timeperiod,&__pyx_mstate_global->__pyx_n_u_matype,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 5450, __pyx_L3_error) 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__pyx_nargs; - if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "RVI", 0) < (0)) __PYX_ERR(4, 5450, __pyx_L3_error) + if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "MA", 0) < (0)) __PYX_ERR(5, 4142, __pyx_L3_error) for (Py_ssize_t i = __pyx_nargs; i < 1; i++) { - if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("RVI", 0, 1, 3, i); __PYX_ERR(4, 5450, __pyx_L3_error) } + if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("MA", 0, 1, 3, i); __PYX_ERR(5, 4142, __pyx_L3_error) } } } else { switch (__pyx_nargs) { case 3: values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(4, 5450, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 4142, __pyx_L3_error) CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if 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__Pyx_GOTREF(__pyx_t_1); __pyx_v_outreal = ((PyArrayObject *)__pyx_t_1); __pyx_t_1 = 0; - __pyx_v_retCode = TA_RVI(0, __pyx_v_endidx, (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_real)) + __pyx_v_begidx), __pyx_v_timeperiod, __pyx_v_stddevperiod, (&__pyx_v_outbegidx), (&__pyx_v_outnbelement), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_outreal)) + __pyx_v_lookback)); + __pyx_v_retCode = TA_MA(0, __pyx_v_endidx, (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_real)) + __pyx_v_begidx), __pyx_v_timeperiod, __pyx_v_matype, (&__pyx_v_outbegidx), (&__pyx_v_outnbelement), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_outreal)) + __pyx_v_lookback)); - __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_RVI, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 5479, __pyx_L1_error) + __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_MA, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 4171, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; @@ -41360,7 +40847,7 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_348RVI(CYTHON_UNUSED PyObject *__pyx_s /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.RVI", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.MA", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_outreal); @@ -41372,35 +40859,37 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_348RVI(CYTHON_UNUSED PyObject *__pyx_s /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_351RVOL(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_271MACD(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_350RVOL, "RVOL(ndarray volume, int timeperiod=-0x80000000)\n\nRVOL(volume[, timeperiod=?])\n\nRelative Volume (Volume Indicators)\n\nInputs:\n prices: ['volume']\nParameters:\n timeperiod: 20\nOutputs:\n real"); -static PyMethodDef __pyx_mdef_5talib_7_ta_lib_351RVOL = {"RVOL", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_351RVOL, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_350RVOL}; -static PyObject *__pyx_pw_5talib_7_ta_lib_351RVOL(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_270MACD, "MACD(ndarray real, int fastperiod=-0x80000000, int slowperiod=-0x80000000, int signalperiod=-0x80000000)\n\nMACD(real[, fastperiod=?, slowperiod=?, signalperiod=?])\n\nMoving Average Convergence/Divergence (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n fastperiod: 12\n slowperiod: 26\n signalperiod: 9\nOutputs:\n macd\n macdsignal\n macdhist"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_271MACD = {"MACD", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_271MACD, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_270MACD}; +static PyObject *__pyx_pw_5talib_7_ta_lib_271MACD(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_volume = 0; - int __pyx_v_timeperiod; + PyArrayObject *__pyx_v_real = 0; + int __pyx_v_fastperiod; + int __pyx_v_slowperiod; + int __pyx_v_signalperiod; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[2] = {0,0}; + PyObject* values[4] = {0,0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("RVOL (wrapper)", 0); + __Pyx_RefNannySetupContext("MACD (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -41410,62 +40899,88 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_volume,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_fastperiod,&__pyx_mstate_global->__pyx_n_u_slowperiod,&__pyx_mstate_global->__pyx_n_u_signalperiod,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 5482, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 4174, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { + case 4: + values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 4174, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 3: + values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 4174, __pyx_L3_error) + CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 5482, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 4174, __pyx_L3_error) CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 5482, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 4174, __pyx_L3_error) CYTHON_FALLTHROUGH; case 0: break; default: goto __pyx_L5_argtuple_error; } const Py_ssize_t kwd_pos_args = __pyx_nargs; - if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "RVOL", 0) < (0)) __PYX_ERR(4, 5482, __pyx_L3_error) + if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "MACD", 0) < (0)) __PYX_ERR(5, 4174, __pyx_L3_error) for (Py_ssize_t i = __pyx_nargs; i < 1; i++) { - if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("RVOL", 0, 1, 2, i); __PYX_ERR(4, 5482, __pyx_L3_error) } + if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("MACD", 0, 1, 4, i); __PYX_ERR(5, 4174, __pyx_L3_error) } } } else { switch (__pyx_nargs) { + case 4: + values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 4174, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 3: + values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 4174, __pyx_L3_error) + CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if 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*)__pyx_v_outreal); - __Pyx_XDECREF((PyObject *)__pyx_v_volume); + __Pyx_XDECREF((PyObject *)__pyx_v_outmacd); + __Pyx_XDECREF((PyObject *)__pyx_v_outmacdsignal); + __Pyx_XDECREF((PyObject *)__pyx_v_outmacdhist); + __Pyx_XDECREF((PyObject *)__pyx_v_real); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; @@ -41549,37 +41089,40 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_350RVOL(CYTHON_UNUSED PyObject *__pyx_ /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_353SAR(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_273MACDEXT(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_352SAR, "SAR(ndarray high, ndarray low, double acceleration=0.02, double maximum=0.2)\n\nSAR(high, low[, acceleration=?, maximum=?])\n\nParabolic SAR (Overlap Studies)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n acceleration: 0.02\n maximum: 0.2\nOutputs:\n real"); -static PyMethodDef __pyx_mdef_5talib_7_ta_lib_353SAR = {"SAR", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_353SAR, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_352SAR}; -static PyObject *__pyx_pw_5talib_7_ta_lib_353SAR(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_272MACDEXT, "MACDEXT(ndarray real, int fastperiod=-0x80000000, int fastmatype=0, int slowperiod=-0x80000000, int slowmatype=0, int signalperiod=-0x80000000, int signalmatype=0)\n\nMACDEXT(real[, fastperiod=?, fastmatype=?, slowperiod=?, slowmatype=?, signalperiod=?, signalmatype=?])\n\nMACD with controllable MA type (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n fastperiod: 12\n fastmatype: 0 (Simple Moving Average)\n slowperiod: 26\n slowmatype: 0 (Simple Moving Average)\n signalperiod: 9\n signalmatype: 0 (Simple Moving Average)\nOutputs:\n macd\n macdsignal\n macdhist"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_273MACDEXT = {"MACDEXT", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_273MACDEXT, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_272MACDEXT}; +static PyObject *__pyx_pw_5talib_7_ta_lib_273MACDEXT(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_high = 0; - PyArrayObject *__pyx_v_low = 0; - double __pyx_v_acceleration; - double __pyx_v_maximum; + PyArrayObject *__pyx_v_real = 0; + int __pyx_v_fastperiod; + int __pyx_v_fastmatype; + int __pyx_v_slowperiod; + int __pyx_v_slowmatype; + int __pyx_v_signalperiod; + int __pyx_v_signalmatype; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[4] = {0,0,0,0}; + PyObject* values[7] = {0,0,0,0,0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("SAR (wrapper)", 0); + __Pyx_RefNannySetupContext("MACDEXT (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -41589,83 +41132,127 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_acceleration,&__pyx_mstate_global->__pyx_n_u_maximum,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_fastperiod,&__pyx_mstate_global->__pyx_n_u_fastmatype,&__pyx_mstate_global->__pyx_n_u_slowperiod,&__pyx_mstate_global->__pyx_n_u_slowmatype,&__pyx_mstate_global->__pyx_n_u_signalperiod,&__pyx_mstate_global->__pyx_n_u_signalmatype,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 5513, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 4213, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { + case 7: + values[6] = __Pyx_ArgRef_FASTCALL(__pyx_args, 6); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[6])) __PYX_ERR(5, 4213, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 6: + values[5] = __Pyx_ArgRef_FASTCALL(__pyx_args, 5); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[5])) __PYX_ERR(5, 4213, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 5: + values[4] = __Pyx_ArgRef_FASTCALL(__pyx_args, 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+ case 7: + values[6] = __Pyx_ArgRef_FASTCALL(__pyx_args, 6); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[6])) __PYX_ERR(5, 4213, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 6: + values[5] = __Pyx_ArgRef_FASTCALL(__pyx_args, 5); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[5])) __PYX_ERR(5, 4213, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 5: + values[4] = __Pyx_ArgRef_FASTCALL(__pyx_args, 4); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[4])) __PYX_ERR(5, 4213, __pyx_L3_error) + CYTHON_FALLTHROUGH; case 4: values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(4, 5513, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 4213, __pyx_L3_error) CYTHON_FALLTHROUGH; case 3: values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(4, 5513, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 4213, __pyx_L3_error) CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 5513, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 4213, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 1: values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 5513, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 4213, __pyx_L3_error) break; default: goto __pyx_L5_argtuple_error; } } - __pyx_v_high = ((PyArrayObject *)values[0]); - __pyx_v_low = ((PyArrayObject *)values[1]); + __pyx_v_real = ((PyArrayObject *)values[0]); + if (values[1]) { + __pyx_v_fastperiod = __Pyx_PyLong_As_int(values[1]); if (unlikely((__pyx_v_fastperiod == (int)-1) && PyErr_Occurred())) __PYX_ERR(5, 4215, __pyx_L3_error) + } else { + __pyx_v_fastperiod = ((int)((int)-2147483648)); + } if (values[2]) { - __pyx_v_acceleration = __Pyx_PyFloat_AsDouble(values[2]); if (unlikely((__pyx_v_acceleration == (double)-1) && PyErr_Occurred())) __PYX_ERR(4, 5515, __pyx_L3_error) + __pyx_v_fastmatype = __Pyx_PyLong_As_int(values[2]); if (unlikely((__pyx_v_fastmatype == (int)-1) && PyErr_Occurred())) __PYX_ERR(5, 4215, __pyx_L3_error) } else { - __pyx_v_acceleration = ((double)((double)0.02)); + __pyx_v_fastmatype = ((int)((int)0)); } if (values[3]) { - __pyx_v_maximum = __Pyx_PyFloat_AsDouble(values[3]); if (unlikely((__pyx_v_maximum == (double)-1) && PyErr_Occurred())) __PYX_ERR(4, 5515, __pyx_L3_error) + __pyx_v_slowperiod = __Pyx_PyLong_As_int(values[3]); if (unlikely((__pyx_v_slowperiod == (int)-1) && PyErr_Occurred())) __PYX_ERR(5, 4215, __pyx_L3_error) } else { - __pyx_v_maximum = ((double)((double)0.2)); + __pyx_v_slowperiod = ((int)((int)-2147483648)); + } + if (values[4]) { + __pyx_v_slowmatype = __Pyx_PyLong_As_int(values[4]); if (unlikely((__pyx_v_slowmatype == (int)-1) && PyErr_Occurred())) __PYX_ERR(5, 4215, __pyx_L3_error) + } else { + __pyx_v_slowmatype = ((int)((int)0)); + } + if (values[5]) { + __pyx_v_signalperiod = __Pyx_PyLong_As_int(values[5]); if (unlikely((__pyx_v_signalperiod == (int)-1) && PyErr_Occurred())) __PYX_ERR(5, 4215, __pyx_L3_error) + } else { + __pyx_v_signalperiod = ((int)((int)-2147483648)); + } + if (values[6]) { + __pyx_v_signalmatype = __Pyx_PyLong_As_int(values[6]); if (unlikely((__pyx_v_signalmatype == (int)-1) && PyErr_Occurred())) __PYX_ERR(5, 4215, __pyx_L3_error) + } else { + __pyx_v_signalmatype = ((int)((int)0)); } } goto __pyx_L6_skip; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("SAR", 0, 2, 4, __pyx_nargs); __PYX_ERR(4, 5513, __pyx_L3_error) + __Pyx_RaiseArgtupleInvalid("MACDEXT", 0, 1, 7, __pyx_nargs); __PYX_ERR(5, 4213, __pyx_L3_error) __pyx_L6_skip:; goto __pyx_L4_argument_unpacking_done; __pyx_L3_error:; for (Py_ssize_t __pyx_temp=0; __pyx_temp < 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__Pyx_AddTraceback("talib._ta_lib.SAR", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.MACDEXT", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; - __Pyx_XDECREF((PyObject *)__pyx_v_outreal); - __Pyx_XDECREF((PyObject *)__pyx_v_high); - __Pyx_XDECREF((PyObject *)__pyx_v_low); + __Pyx_XDECREF((PyObject *)__pyx_v_outmacd); + __Pyx_XDECREF((PyObject *)__pyx_v_outmacdsignal); + __Pyx_XDECREF((PyObject *)__pyx_v_outmacdhist); + __Pyx_XDECREF((PyObject *)__pyx_v_real); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; @@ -41758,43 +41361,35 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_352SAR(CYTHON_UNUSED PyObject *__pyx_s /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_355SAREXT(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_275MACDFIX(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject 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*__pyx_pw_5talib_7_ta_lib_357SIN(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_277MAMA(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_356SIN, "SIN(ndarray real)\n\nSIN(real)\n\nVector Trigonometric Sin (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"); -static PyMethodDef __pyx_mdef_5talib_7_ta_lib_357SIN = {"SIN", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_357SIN, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_356SIN}; -static PyObject *__pyx_pw_5talib_7_ta_lib_357SIN(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_276MAMA, "MAMA(ndarray real, double fastlimit=-4e37, double slowlimit=-4e37)\n\nMAMA(real[, fastlimit=?, slowlimit=?])\n\nMESA Adaptive Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n fastlimit: 0.5\n slowlimit: 0.05\nOutputs:\n mama\n fama"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_277MAMA = {"MAMA", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_277MAMA, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_276MAMA}; +static PyObject *__pyx_pw_5talib_7_ta_lib_277MAMA(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else @@ -42068,17 +41580,19 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { PyArrayObject *__pyx_v_real = 0; + double __pyx_v_fastlimit; + double __pyx_v_slowlimit; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[1] = {0}; + PyObject* values[3] = {0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("SIN (wrapper)", 0); + __Pyx_RefNannySetupContext("MAMA (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -42088,46 +41602,75 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_fastlimit,&__pyx_mstate_global->__pyx_n_u_slowlimit,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 5585, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 4292, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { + case 3: + values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 4292, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 2: + values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 4292, __pyx_L3_error) + CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 5585, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 4292, __pyx_L3_error) CYTHON_FALLTHROUGH; case 0: break; default: goto __pyx_L5_argtuple_error; } const Py_ssize_t kwd_pos_args = __pyx_nargs; - if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "SIN", 0) < (0)) __PYX_ERR(4, 5585, __pyx_L3_error) + if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "MAMA", 0) < (0)) __PYX_ERR(5, 4292, __pyx_L3_error) for (Py_ssize_t i = __pyx_nargs; i < 1; i++) { - if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("SIN", 1, 1, 1, i); __PYX_ERR(4, 5585, __pyx_L3_error) } + if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("MAMA", 0, 1, 3, i); __PYX_ERR(5, 4292, __pyx_L3_error) } } - } else if (unlikely(__pyx_nargs != 1)) { - goto __pyx_L5_argtuple_error; } else { - values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 5585, __pyx_L3_error) + switch (__pyx_nargs) { + case 3: + values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 4292, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 2: + values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 4292, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 1: + values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 4292, __pyx_L3_error) + break; 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*__pyx_self, PyArrayObject *__pyx_v_real) { +static PyObject *__pyx_pf_5talib_7_ta_lib_276MAMA(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, double __pyx_v_fastlimit, double __pyx_v_slowlimit) { npy_intp __pyx_v_length; int __pyx_v_begidx; int __pyx_v_endidx; @@ -42154,7 +41697,8 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_356SIN(CYTHON_UNUSED PyObject *__pyx_s TA_RetCode __pyx_v_retCode; int __pyx_v_outbegidx; int __pyx_v_outnbelement; - PyArrayObject *__pyx_v_outreal = 0; + PyArrayObject *__pyx_v_outmama = 0; + PyArrayObject *__pyx_v_outfama = 0; PyObject *__pyx_r = NULL; __Pyx_RefNannyDeclarations PyObject *__pyx_t_1 = NULL; @@ -42162,47 +41706,61 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_356SIN(CYTHON_UNUSED PyObject *__pyx_s int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; - __Pyx_RefNannySetupContext("SIN", 0); + __Pyx_RefNannySetupContext("MAMA", 0); __Pyx_INCREF((PyObject *)__pyx_v_real); - __pyx_t_1 = ((PyObject 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(__pyx_v_begidx + TA_SIN_Lookback()); + __pyx_v_lookback = (__pyx_v_begidx + TA_MAMA_Lookback(__pyx_v_fastlimit, __pyx_v_slowlimit)); - __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_make_double_array(__pyx_v_length, __pyx_v_lookback)); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 5609, __pyx_L1_error) + __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_make_double_array(__pyx_v_length, __pyx_v_lookback)); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 4321, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); - __pyx_v_outreal = ((PyArrayObject *)__pyx_t_1); + __pyx_v_outmama = ((PyArrayObject *)__pyx_t_1); __pyx_t_1 = 0; - __pyx_v_retCode = TA_SIN(0, __pyx_v_endidx, (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_real)) + __pyx_v_begidx), (&__pyx_v_outbegidx), (&__pyx_v_outnbelement), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_outreal)) + __pyx_v_lookback)); + __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_make_double_array(__pyx_v_length, __pyx_v_lookback)); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 4322, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_1); + __pyx_v_outfama = ((PyArrayObject *)__pyx_t_1); + __pyx_t_1 = 0; + + __pyx_v_retCode = TA_MAMA(0, __pyx_v_endidx, (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_real)) + __pyx_v_begidx), __pyx_v_fastlimit, __pyx_v_slowlimit, (&__pyx_v_outbegidx), (&__pyx_v_outnbelement), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_outmama)) + __pyx_v_lookback), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_outfama)) + __pyx_v_lookback)); - __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_SIN, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 5611, __pyx_L1_error) + __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_MAMA, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 4324, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_XDECREF(__pyx_r); - __Pyx_INCREF((PyObject 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__pyx_doc_5talib_7_ta_lib_358SINH}; -static PyObject *__pyx_pw_5talib_7_ta_lib_359SINH(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_278MARKETFI, "MARKETFI(ndarray high, ndarray low, ndarray volume)\n\nMARKETFI(high, low, volume)\n\nMarket Facilitation Index (Volume Indicators)\n\nInputs:\n prices: ['high', 'low', 'volume']\nOutputs:\n real"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_279MARKETFI = {"MARKETFI", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_279MARKETFI, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_278MARKETFI}; +static PyObject *__pyx_pw_5talib_7_ta_lib_279MARKETFI(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_real = 0; + PyArrayObject *__pyx_v_high = 0; + PyArrayObject *__pyx_v_low = 0; + PyArrayObject *__pyx_v_volume = 0; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[1] = {0}; + PyObject* values[3] = {0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("SINH (wrapper)", 0); + __Pyx_RefNannySetupContext("MARKETFI (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -42248,46 +41808,62 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_volume,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if 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((((int)__pyx_v_length) - __pyx_v_begidx) - 1); - __pyx_v_lookback = (__pyx_v_begidx + TA_SINH_Lookback()); + __pyx_v_lookback = (__pyx_v_begidx + TA_MARKETFI_Lookback()); - __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_make_double_array(__pyx_v_length, __pyx_v_lookback)); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 5638, __pyx_L1_error) + __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_make_double_array(__pyx_v_length, __pyx_v_lookback)); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 4353, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __pyx_v_outreal = ((PyArrayObject *)__pyx_t_1); __pyx_t_1 = 0; - __pyx_v_retCode = TA_SINH(0, __pyx_v_endidx, (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_real)) + __pyx_v_begidx), (&__pyx_v_outbegidx), (&__pyx_v_outnbelement), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_outreal)) + __pyx_v_lookback)); + __pyx_v_retCode = TA_MARKETFI(0, __pyx_v_endidx, (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_high)) + __pyx_v_begidx), (((double 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(__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "MASSI", 0) < (0)) __PYX_ERR(5, 4358, __pyx_L3_error) + for (Py_ssize_t i = __pyx_nargs; i < 2; i++) { + if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("MASSI", 0, 2, 4, i); __PYX_ERR(5, 4358, __pyx_L3_error) } } } else { switch (__pyx_nargs) { + case 4: + values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 4358, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 3: + values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 4358, __pyx_L3_error) + CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 5643, __pyx_L3_error) - CYTHON_FALLTHROUGH; - case 1: + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 4358, __pyx_L3_error) values[0] 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*__pyx_pf_5talib_7_ta_lib_360SMA(CYTHON_UNUSED PyObject *__pyx_s /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.SMA", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.MASSI", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_outreal); - __Pyx_XDECREF((PyObject *)__pyx_v_real); + __Pyx_XDECREF((PyObject *)__pyx_v_high); + __Pyx_XDECREF((PyObject *)__pyx_v_low); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; @@ -42548,40 +42172,38 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_360SMA(CYTHON_UNUSED PyObject *__pyx_s /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_363SMI(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_283MAVP(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_362SMI, "SMI(ndarray high, ndarray low, ndarray close, int timeperiod=-0x80000000, int fastperiod=-0x80000000, int slowperiod=-0x80000000, int signalperiod=-0x80000000)\n\nSMI(high, low, close[, timeperiod=?, fastperiod=?, slowperiod=?, signalperiod=?])\n\nStochastic Momentum Index (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 13\n fastperiod: 2\n slowperiod: 25\n signalperiod: 9\nOutputs:\n smi\n smisignal"); -static PyMethodDef __pyx_mdef_5talib_7_ta_lib_363SMI = {"SMI", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_363SMI, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_362SMI}; -static PyObject *__pyx_pw_5talib_7_ta_lib_363SMI(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_282MAVP, "MAVP(ndarray real, ndarray periods, int minperiod=-0x80000000, int maxperiod=-0x80000000, int matype=0)\n\nMAVP(real, periods[, minperiod=?, maxperiod=?, matype=?])\n\nMoving average with variable period (Overlap Studies)\n\nInputs:\n real: (any ndarray)\n periods: (any ndarray)\nParameters:\n minperiod: 2\n maxperiod: 30\n matype: 0 (Simple Moving Average)\nOutputs:\n real"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_283MAVP = {"MAVP", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_283MAVP, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_282MAVP}; +static PyObject *__pyx_pw_5talib_7_ta_lib_283MAVP(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_high = 0; - PyArrayObject *__pyx_v_low = 0; - PyArrayObject *__pyx_v_close = 0; - int __pyx_v_timeperiod; - int __pyx_v_fastperiod; - int __pyx_v_slowperiod; - int __pyx_v_signalperiod; + PyArrayObject *__pyx_v_real = 0; + PyArrayObject *__pyx_v_periods = 0; + int __pyx_v_minperiod; + int __pyx_v_maxperiod; + int __pyx_v_matype; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[7] = {0,0,0,0,0,0,0}; + PyObject* values[5] = {0,0,0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("SMI (wrapper)", 0); + __Pyx_RefNannySetupContext("MAVP (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -42591,117 +42213,96 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = 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PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod) { npy_intp __pyx_v_length; int __pyx_v_begidx; int __pyx_v_endidx; @@ -42927,31 +42523,31 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_364SQRT(CYTHON_UNUSED PyObject *__pyx_ int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; - __Pyx_RefNannySetupContext("SQRT", 0); + __Pyx_RefNannySetupContext("MAX", 0); __Pyx_INCREF((PyObject *)__pyx_v_real); - __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_check_array(__pyx_v_real)); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 5732, __pyx_L1_error) + __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_check_array(__pyx_v_real)); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 4447, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF_SET(__pyx_v_real, ((PyArrayObject *)__pyx_t_1)); __pyx_t_1 = 0; __pyx_v_length = (__pyx_f_5numpy_7ndarray_5shape_shape(__pyx_v_real)[0]); - __pyx_t_2 = __pyx_f_5talib_7_ta_lib_check_begidx1(__pyx_v_length, ((double 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__Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_286MAXINDEX}; +static PyObject *__pyx_pw_5talib_7_ta_lib_287MAXINDEX(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else @@ -42994,18 +42590,17 @@ PyObject *__pyx_args, PyObject *__pyx_kwds ) { PyArrayObject *__pyx_v_real = 0; int __pyx_v_timeperiod; - double __pyx_v_nbdev; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[3] = {0,0,0}; + PyObject* values[2] = {0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("STDDEV (wrapper)", 0); + __Pyx_RefNannySetupContext("MAXINDEX (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -43015,75 +42610,62 @@ PyObject *__pyx_args, PyObject *__pyx_kwds 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__pyx_v_retCode = TA_MAXINDEX(0, __pyx_v_endidx, (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_real)) + __pyx_v_begidx), __pyx_v_timeperiod, (&__pyx_v_outbegidx), (&__pyx_v_outnbelement), (((int *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_outinteger)) + __pyx_v_lookback)); - __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_STDDEV, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 5771, __pyx_L1_error) + __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_MAXINDEX, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 4485, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_v_outinteger_data = ((int *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_outinteger)); + + __pyx_t_3 = __pyx_v_length; + for (__pyx_v_i = __pyx_v_lookback; __pyx_v_i < __pyx_t_3; __pyx_v_i++) { + + __pyx_t_4 = __pyx_v_i; + (__pyx_v_outinteger_data[__pyx_t_4]) = ((__pyx_v_outinteger_data[__pyx_t_4]) + __pyx_v_begidx); + } + __Pyx_XDECREF(__pyx_r); - __Pyx_INCREF((PyObject *)__pyx_v_outreal); - __pyx_r = ((PyObject *)__pyx_v_outreal); + __Pyx_INCREF((PyObject *)__pyx_v_outinteger); + __pyx_r = ((PyObject *)__pyx_v_outinteger); goto __pyx_L0; /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.STDDEV", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.MAXINDEX", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; - __Pyx_XDECREF((PyObject *)__pyx_v_outreal); + __Pyx_XDECREF((PyObject *)__pyx_v_outinteger); __Pyx_XDECREF((PyObject *)__pyx_v_real); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); @@ -43167,16 +42762,16 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_366STDDEV(CYTHON_UNUSED PyObject *__py /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_369STOCH(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_289MEDPRICE(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_368STOCH, "STOCH(ndarray high, ndarray low, ndarray close, int fastk_period=-0x80000000, int slowk_period=-0x80000000, int slowk_matype=0, int slowd_period=-0x80000000, int slowd_matype=0)\n\nSTOCH(high, low, close[, fastk_period=?, slowk_period=?, slowk_matype=?, slowd_period=?, slowd_matype=?])\n\nStochastic (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n fastk_period: 5\n slowk_period: 3\n slowk_matype: 0 (Simple Moving Average)\n slowd_period: 3\n slowd_matype: 0 (Simple Moving Average)\nOutputs:\n slowk\n slowd"); -static PyMethodDef __pyx_mdef_5talib_7_ta_lib_369STOCH = {"STOCH", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_369STOCH, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_368STOCH}; -static PyObject *__pyx_pw_5talib_7_ta_lib_369STOCH(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_288MEDPRICE, "MEDPRICE(ndarray high, ndarray low)\n\nMEDPRICE(high, low)\n\nMedian Price (Price Transform)\n\nInputs:\n prices: ['high', 'low']\nOutputs:\n real"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_289MEDPRICE = {"MEDPRICE", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_289MEDPRICE, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_288MEDPRICE}; +static PyObject *__pyx_pw_5talib_7_ta_lib_289MEDPRICE(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else @@ -43185,23 +42780,17 @@ PyObject *__pyx_args, PyObject *__pyx_kwds ) { PyArrayObject *__pyx_v_high = 0; PyArrayObject *__pyx_v_low = 0; - PyArrayObject *__pyx_v_close = 0; - int __pyx_v_fastk_period; - int __pyx_v_slowk_period; - int __pyx_v_slowk_matype; - int __pyx_v_slowd_period; - int __pyx_v_slowd_matype; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[8] = {0,0,0,0,0,0,0,0}; + PyObject* values[2] = {0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("STOCH (wrapper)", 0); + __Pyx_RefNannySetupContext("MEDPRICE (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -43211,130 +42800,54 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = 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= ((PyArrayObject *)values[1]); - __pyx_v_close = ((PyArrayObject *)values[2]); - if (values[3]) { - __pyx_v_fastk_period = __Pyx_PyLong_As_int(values[3]); if (unlikely((__pyx_v_fastk_period == (int)-1) && PyErr_Occurred())) __PYX_ERR(4, 5776, __pyx_L3_error) - } else { - __pyx_v_fastk_period = ((int)((int)-2147483648)); - } - if (values[4]) { - __pyx_v_slowk_period = __Pyx_PyLong_As_int(values[4]); if (unlikely((__pyx_v_slowk_period == (int)-1) && PyErr_Occurred())) __PYX_ERR(4, 5776, __pyx_L3_error) - } else { - __pyx_v_slowk_period = ((int)((int)-2147483648)); - } - if (values[5]) { - __pyx_v_slowk_matype = __Pyx_PyLong_As_int(values[5]); if (unlikely((__pyx_v_slowk_matype == (int)-1) && PyErr_Occurred())) __PYX_ERR(4, 5776, __pyx_L3_error) - } else { - __pyx_v_slowk_matype = ((int)((int)0)); - } - if (values[6]) { - __pyx_v_slowd_period = __Pyx_PyLong_As_int(values[6]); if (unlikely((__pyx_v_slowd_period == (int)-1) && PyErr_Occurred())) __PYX_ERR(4, 5776, __pyx_L3_error) - } else 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__Pyx_AddTraceback("talib._ta_lib.MEDPRICE", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; - __Pyx_XDECREF((PyObject *)__pyx_v_outslowk); - __Pyx_XDECREF((PyObject *)__pyx_v_outslowd); + __Pyx_XDECREF((PyObject *)__pyx_v_outreal); __Pyx_XDECREF((PyObject *)__pyx_v_high); __Pyx_XDECREF((PyObject *)__pyx_v_low); - __Pyx_XDECREF((PyObject *)__pyx_v_close); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; @@ -43449,16 +42940,16 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_368STOCH(CYTHON_UNUSED PyObject *__pyx /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_371STOCHF(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_291MFI(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_370STOCHF, "STOCHF(ndarray high, ndarray low, ndarray close, int fastk_period=-0x80000000, int fastd_period=-0x80000000, int fastd_matype=0)\n\nSTOCHF(high, low, close[, fastk_period=?, fastd_period=?, fastd_matype=?])\n\nStochastic Fast (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n fastk_period: 5\n fastd_period: 3\n fastd_matype: 0 (Simple Moving Average)\nOutputs:\n fastk\n fastd"); -static PyMethodDef __pyx_mdef_5talib_7_ta_lib_371STOCHF = {"STOCHF", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_371STOCHF, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_370STOCHF}; -static PyObject *__pyx_pw_5talib_7_ta_lib_371STOCHF(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_290MFI, "MFI(ndarray high, ndarray low, ndarray close, ndarray volume, int timeperiod=-0x80000000)\n\nMFI(high, low, close, volume[, timeperiod=?])\n\nMoney Flow Index (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close', 'volume']\nParameters:\n timeperiod: 14\nOutputs:\n real"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_291MFI = {"MFI", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_291MFI, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_290MFI}; +static PyObject *__pyx_pw_5talib_7_ta_lib_291MFI(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else @@ -43468,20 +42959,19 @@ PyObject *__pyx_args, PyObject *__pyx_kwds PyArrayObject *__pyx_v_high = 0; PyArrayObject *__pyx_v_low = 0; PyArrayObject *__pyx_v_close = 0; - int __pyx_v_fastk_period; - int __pyx_v_fastd_period; - int __pyx_v_fastd_matype; + PyArrayObject *__pyx_v_volume = 0; + int __pyx_v_timeperiod; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[6] = {0,0,0,0,0,0}; + PyObject* values[5] = {0,0,0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("STOCHF (wrapper)", 0); + __Pyx_RefNannySetupContext("MFI (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -43491,64 +42981,54 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_close,&__pyx_mstate_global->__pyx_n_u_fastk_period,&__pyx_mstate_global->__pyx_n_u_fastd_period,&__pyx_mstate_global->__pyx_n_u_fastd_matype,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_close,&__pyx_mstate_global->__pyx_n_u_volume,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 5814, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 4521, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { - case 6: - values[5] = __Pyx_ArgRef_FASTCALL(__pyx_args, 5); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[5])) __PYX_ERR(4, 5814, __pyx_L3_error) - CYTHON_FALLTHROUGH; case 5: values[4] = __Pyx_ArgRef_FASTCALL(__pyx_args, 4); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[4])) __PYX_ERR(4, 5814, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[4])) __PYX_ERR(5, 4521, __pyx_L3_error) CYTHON_FALLTHROUGH; case 4: values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(4, 5814, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 4521, __pyx_L3_error) CYTHON_FALLTHROUGH; case 3: values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(4, 5814, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 4521, __pyx_L3_error) CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 5814, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 4521, __pyx_L3_error) CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 5814, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 4521, __pyx_L3_error) CYTHON_FALLTHROUGH; case 0: break; default: goto __pyx_L5_argtuple_error; } const Py_ssize_t kwd_pos_args = __pyx_nargs; - if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "STOCHF", 0) < (0)) __PYX_ERR(4, 5814, __pyx_L3_error) - for (Py_ssize_t i = __pyx_nargs; i < 3; i++) { - if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("STOCHF", 0, 3, 6, i); __PYX_ERR(4, 5814, __pyx_L3_error) } + if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "MFI", 0) < (0)) __PYX_ERR(5, 4521, __pyx_L3_error) + for (Py_ssize_t i = __pyx_nargs; i < 4; i++) { + if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("MFI", 0, 4, 5, i); __PYX_ERR(5, 4521, __pyx_L3_error) } } } else { switch (__pyx_nargs) { - case 6: - values[5] = __Pyx_ArgRef_FASTCALL(__pyx_args, 5); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[5])) __PYX_ERR(4, 5814, __pyx_L3_error) - CYTHON_FALLTHROUGH; case 5: values[4] = __Pyx_ArgRef_FASTCALL(__pyx_args, 4); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[4])) __PYX_ERR(4, 5814, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[4])) __PYX_ERR(5, 4521, __pyx_L3_error) CYTHON_FALLTHROUGH; case 4: values[3] = 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(unlikely(!__pyx_t_1)) __PYX_ERR(4, 5948, __pyx_L1_error) + __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_MIN, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 4646, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; @@ -44280,7 +43704,7 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_376SUM(CYTHON_UNUSED PyObject *__pyx_s /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.SUM", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.MIN", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_outreal); @@ -44292,38 +43716,35 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_376SUM(CYTHON_UNUSED PyObject *__pyx_s /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_379SUPERTREND(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_299MININDEX(PyObject 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__pyx_v_lookback = (__pyx_v_begidx + TA_MINUS_DI_Lookback(__pyx_v_timeperiod)); - __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_make_double_array(__pyx_v_length, __pyx_v_lookback)); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 6104, __pyx_L1_error) + __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_make_double_array(__pyx_v_length, __pyx_v_lookback)); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 4785, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __pyx_v_outreal = ((PyArrayObject *)__pyx_t_1); __pyx_t_1 = 0; - __pyx_v_retCode = TA_TEMA(0, __pyx_v_endidx, (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_real)) + __pyx_v_begidx), __pyx_v_timeperiod, (&__pyx_v_outbegidx), (&__pyx_v_outnbelement), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_outreal)) + __pyx_v_lookback)); + __pyx_v_retCode = TA_MINUS_DI(0, __pyx_v_endidx, (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_high)) + __pyx_v_begidx), (((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_low)) + __pyx_v_begidx), 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= 0; + PyArrayObject *__pyx_v_close = 0; + int __pyx_v_timeperiod; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[3] = {0,0,0}; + PyObject* values[4] = {0,0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("TSI (wrapper)", 0); + __Pyx_RefNannySetupContext("NATR (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -45984,75 +45114,78 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_firstperiod,&__pyx_mstate_global->__pyx_n_u_secondperiod,0}; + PyObject ** const __pyx_pyargnames[] = 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{&__pyx_mstate_global->__pyx_n_u_close,&__pyx_mstate_global->__pyx_n_u_volume,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 6265, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 4917, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { - case 3: - values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(4, 6265, __pyx_L3_error) - CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 6265, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 4917, __pyx_L3_error) CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 6265, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && 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__Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 6265, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 4917, __pyx_L3_error) values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 6265, __pyx_L3_error) - values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(4, 6265, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 4917, __pyx_L3_error) } - __pyx_v_high = ((PyArrayObject *)values[0]); - __pyx_v_low = ((PyArrayObject *)values[1]); - __pyx_v_close = ((PyArrayObject *)values[2]); + __pyx_v_close = ((PyArrayObject *)values[0]); + __pyx_v_volume = ((PyArrayObject *)values[1]); } goto __pyx_L6_skip; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("TYPPRICE", 1, 3, 3, __pyx_nargs); __PYX_ERR(4, 6265, __pyx_L3_error) + 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return __pyx_r; @@ -46569,16 +45641,16 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_400ULTOSC(CYTHON_UNUSED PyObject *__py /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_403VAR(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_319PERCENTILE(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_402VAR, "VAR(ndarray real, int timeperiod=-0x80000000, double nbdev=-4e37)\n\nVAR(real[, timeperiod=?, nbdev=?])\n\nVariance (Statistic Functions)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 5\n nbdev: 1.0\nOutputs:\n real"); -static PyMethodDef __pyx_mdef_5talib_7_ta_lib_403VAR = {"VAR", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_403VAR, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_402VAR}; -static PyObject *__pyx_pw_5talib_7_ta_lib_403VAR(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_318PERCENTILE, "PERCENTILE(ndarray real, int timeperiod=-0x80000000, double percentile=50.0)\n\nPERCENTILE(real[, timeperiod=?, percentile=?])\n\nPercentile (nearest rank) (Statistic Functions)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\n percentile: 50.0\nOutputs:\n real"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_319PERCENTILE = {"PERCENTILE", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_319PERCENTILE, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_318PERCENTILE}; +static PyObject *__pyx_pw_5talib_7_ta_lib_319PERCENTILE(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else @@ -46587,7 +45659,7 @@ PyObject *__pyx_args, PyObject *__pyx_kwds ) { PyArrayObject *__pyx_v_real = 0; int __pyx_v_timeperiod; - double __pyx_v_nbdev; + double __pyx_v_percentile; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif @@ -46598,7 +45670,7 @@ PyObject *__pyx_args, PyObject *__pyx_kwds int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("VAR (wrapper)", 0); + __Pyx_RefNannySetupContext("PERCENTILE (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -46608,75 +45680,75 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_timeperiod,&__pyx_mstate_global->__pyx_n_u_nbdev,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_timeperiod,&__pyx_mstate_global->__pyx_n_u_percentile,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) 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break; default: goto __pyx_L5_argtuple_error; } const Py_ssize_t kwd_pos_args = __pyx_nargs; - if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "VAR", 0) < (0)) __PYX_ERR(4, 6331, __pyx_L3_error) + if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "PERCENTILE", 0) < (0)) __PYX_ERR(5, 4978, __pyx_L3_error) for (Py_ssize_t i = __pyx_nargs; i < 1; i++) { - if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("VAR", 0, 1, 3, i); __PYX_ERR(4, 6331, __pyx_L3_error) } + if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("PERCENTILE", 0, 1, 3, i); __PYX_ERR(5, 4978, __pyx_L3_error) } } } else { switch (__pyx_nargs) { case 3: values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(4, 6331, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 4978, __pyx_L3_error) 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__pyx_mdef_5talib_7_ta_lib_321PERCENTRANK = {"PERCENTRANK", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_321PERCENTRANK, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_320PERCENTRANK}; +static PyObject *__pyx_pw_5talib_7_ta_lib_321PERCENTRANK(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else @@ -46788,7 +45860,7 @@ PyObject *__pyx_args, PyObject *__pyx_kwds int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("VHF (wrapper)", 0); + __Pyx_RefNannySetupContext("PERCENTRANK (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -46800,60 +45872,60 @@ PyObject *__pyx_args, PyObject *__pyx_kwds { PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; const Py_ssize_t 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__pyx_kwds_len, "VHF", 0) < (0)) __PYX_ERR(4, 6363, __pyx_L3_error) + if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "PERCENTRANK", 0) < (0)) __PYX_ERR(5, 5010, __pyx_L3_error) for (Py_ssize_t i = __pyx_nargs; i < 1; i++) { - if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("VHF", 0, 1, 2, i); __PYX_ERR(4, 6363, __pyx_L3_error) } + if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("PERCENTRANK", 0, 1, 2, i); __PYX_ERR(5, 5010, __pyx_L3_error) } } } else { switch (__pyx_nargs) { case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 6363, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 5010, __pyx_L3_error) CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 6363, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 5010, __pyx_L3_error) break; default: goto __pyx_L5_argtuple_error; } } __pyx_v_real = ((PyArrayObject *)values[0]); if (values[1]) { - __pyx_v_timeperiod = __Pyx_PyLong_As_int(values[1]); if (unlikely((__pyx_v_timeperiod == (int)-1) && PyErr_Occurred())) __PYX_ERR(4, 6365, __pyx_L3_error) + __pyx_v_timeperiod = __Pyx_PyLong_As_int(values[1]); if (unlikely((__pyx_v_timeperiod == (int)-1) && PyErr_Occurred())) __PYX_ERR(5, 5012, __pyx_L3_error) } else { __pyx_v_timeperiod = ((int)((int)-2147483648)); } } goto __pyx_L6_skip; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("VHF", 0, 1, 2, __pyx_nargs); __PYX_ERR(4, 6363, __pyx_L3_error) + __Pyx_RaiseArgtupleInvalid("PERCENTRANK", 0, 1, 2, __pyx_nargs); __PYX_ERR(5, 5010, __pyx_L3_error) __pyx_L6_skip:; goto __pyx_L4_argument_unpacking_done; __pyx_L3_error:; for (Py_ssize_t __pyx_temp=0; __pyx_temp < (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) { Py_XDECREF(values[__pyx_temp]); } - __Pyx_AddTraceback("talib._ta_lib.VHF", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.PERCENTRANK", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); return NULL; __pyx_L4_argument_unpacking_done:; - if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_real), __pyx_mstate_global->__pyx_ptype_5numpy_ndarray, 0, "real", 0))) __PYX_ERR(4, 6365, __pyx_L1_error) - __pyx_r = __pyx_pf_5talib_7_ta_lib_404VHF(__pyx_self, __pyx_v_real, __pyx_v_timeperiod); + if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_real), __pyx_mstate_global->__pyx_ptype_5numpy_ndarray, 0, "real", 0))) __PYX_ERR(5, 5012, __pyx_L1_error) + __pyx_r = __pyx_pf_5talib_7_ta_lib_320PERCENTRANK(__pyx_self, __pyx_v_real, __pyx_v_timeperiod); /* function exit code */ goto __pyx_L0; @@ -46872,7 +45944,7 @@ PyObject *__pyx_args, PyObject *__pyx_kwds return __pyx_r; } -static PyObject *__pyx_pf_5talib_7_ta_lib_404VHF(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod) { +static PyObject *__pyx_pf_5talib_7_ta_lib_320PERCENTRANK(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_real, int __pyx_v_timeperiod) { npy_intp __pyx_v_length; int __pyx_v_begidx; int __pyx_v_endidx; @@ -46888,31 +45960,31 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_404VHF(CYTHON_UNUSED PyObject *__pyx_s int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; - __Pyx_RefNannySetupContext("VHF", 0); + __Pyx_RefNannySetupContext("PERCENTRANK", 0); __Pyx_INCREF((PyObject *)__pyx_v_real); - __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_check_array(__pyx_v_real)); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 6384, __pyx_L1_error) + __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_check_array(__pyx_v_real)); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 5031, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF_SET(__pyx_v_real, ((PyArrayObject *)__pyx_t_1)); __pyx_t_1 = 0; __pyx_v_length = (__pyx_f_5numpy_7ndarray_5shape_shape(__pyx_v_real)[0]); - __pyx_t_2 = __pyx_f_5talib_7_ta_lib_check_begidx1(__pyx_v_length, ((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_real))); if (unlikely(__pyx_t_2 == ((npy_int)-1) && PyErr_Occurred())) __PYX_ERR(4, 6386, __pyx_L1_error) + __pyx_t_2 = __pyx_f_5talib_7_ta_lib_check_begidx1(__pyx_v_length, ((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_real))); if (unlikely(__pyx_t_2 == ((npy_int)-1) && PyErr_Occurred())) __PYX_ERR(5, 5033, __pyx_L1_error) __pyx_v_begidx = __pyx_t_2; __pyx_v_endidx = ((((int)__pyx_v_length) - __pyx_v_begidx) - 1); - __pyx_v_lookback = (__pyx_v_begidx + TA_VHF_Lookback(__pyx_v_timeperiod)); + __pyx_v_lookback = (__pyx_v_begidx + TA_PERCENTRANK_Lookback(__pyx_v_timeperiod)); - __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_make_double_array(__pyx_v_length, __pyx_v_lookback)); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 6389, __pyx_L1_error) + __pyx_t_1 = ((PyObject 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__pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_PERCENTRANK, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 5038, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; @@ -46925,7 +45997,7 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_404VHF(CYTHON_UNUSED PyObject *__pyx_s /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.VHF", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.PERCENTRANK", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_outreal); @@ -46937,16 +46009,16 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_404VHF(CYTHON_UNUSED PyObject *__pyx_s /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_407VORTEX(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_323PLUS_DI(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_406VORTEX, "VORTEX(ndarray high, ndarray low, ndarray close, int timeperiod=-0x80000000)\n\nVORTEX(high, low, close[, timeperiod=?])\n\nVortex Indicator (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n plusvi\n minusvi"); -static PyMethodDef __pyx_mdef_5talib_7_ta_lib_407VORTEX = {"VORTEX", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_407VORTEX, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_406VORTEX}; -static PyObject *__pyx_pw_5talib_7_ta_lib_407VORTEX(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_322PLUS_DI, "PLUS_DI(ndarray high, ndarray low, ndarray close, int timeperiod=-0x80000000)\n\nPLUS_DI(high, low, close[, timeperiod=?])\n\nPlus Directional Indicator (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_323PLUS_DI = {"PLUS_DI", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_323PLUS_DI, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_322PLUS_DI}; +static PyObject *__pyx_pw_5talib_7_ta_lib_323PLUS_DI(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else @@ -46967,7 +46039,7 @@ PyObject *__pyx_args, PyObject *__pyx_kwds int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("VORTEX (wrapper)", 0); + __Pyx_RefNannySetupContext("PLUS_DI (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -46979,46 +46051,46 @@ PyObject *__pyx_args, PyObject *__pyx_kwds { PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_close,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 6394, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 5041, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { case 4: values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(4, 6394, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 5041, __pyx_L3_error) CYTHON_FALLTHROUGH; case 3: values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(4, 6394, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 5041, __pyx_L3_error) CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 6394, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 5041, __pyx_L3_error) CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 6394, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 5041, __pyx_L3_error) CYTHON_FALLTHROUGH; case 0: break; default: goto __pyx_L5_argtuple_error; } const Py_ssize_t kwd_pos_args = __pyx_nargs; - if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "VORTEX", 0) < (0)) __PYX_ERR(4, 6394, __pyx_L3_error) + if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "PLUS_DI", 0) < (0)) __PYX_ERR(5, 5041, __pyx_L3_error) for (Py_ssize_t i = __pyx_nargs; i < 3; i++) { - if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("VORTEX", 0, 3, 4, i); __PYX_ERR(4, 6394, __pyx_L3_error) } + if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("PLUS_DI", 0, 3, 4, i); __PYX_ERR(5, 5041, __pyx_L3_error) } } } else { switch (__pyx_nargs) { case 4: values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(4, 6394, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 5041, __pyx_L3_error) CYTHON_FALLTHROUGH; case 3: values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(4, 6394, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 5041, __pyx_L3_error) values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 6394, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 5041, __pyx_L3_error) values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(4, 6394, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 5041, __pyx_L3_error) break; default: goto __pyx_L5_argtuple_error; } @@ -47027,28 +46099,28 @@ PyObject *__pyx_args, PyObject *__pyx_kwds __pyx_v_low = ((PyArrayObject *)values[1]); __pyx_v_close = ((PyArrayObject *)values[2]); if (values[3]) { - __pyx_v_timeperiod = __Pyx_PyLong_As_int(values[3]); if (unlikely((__pyx_v_timeperiod == (int)-1) && PyErr_Occurred())) __PYX_ERR(4, 6396, __pyx_L3_error) + __pyx_v_timeperiod = __Pyx_PyLong_As_int(values[3]); if (unlikely((__pyx_v_timeperiod == (int)-1) && PyErr_Occurred())) __PYX_ERR(5, 5043, __pyx_L3_error) } else { __pyx_v_timeperiod = ((int)((int)-2147483648)); } } goto __pyx_L6_skip; __pyx_L5_argtuple_error:; - __Pyx_RaiseArgtupleInvalid("VORTEX", 0, 3, 4, __pyx_nargs); __PYX_ERR(4, 6394, __pyx_L3_error) + 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if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 6449, __pyx_L1_error) + __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_check_array(__pyx_v_high)); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 5095, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF_SET(__pyx_v_high, ((PyArrayObject *)__pyx_t_1)); __pyx_t_1 = 0; - __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_check_array(__pyx_v_low)); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 6450, __pyx_L1_error) + __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_check_array(__pyx_v_low)); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 5096, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF_SET(__pyx_v_low, ((PyArrayObject *)__pyx_t_1)); __pyx_t_1 = 0; - __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_check_array(__pyx_v_close)); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 6451, __pyx_L1_error) - __Pyx_GOTREF(__pyx_t_1); - __Pyx_DECREF_SET(__pyx_v_close, ((PyArrayObject *)__pyx_t_1)); - __pyx_t_1 = 0; - - __pyx_t_1 = ((PyObject 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6459, __pyx_L1_error) + __pyx_t_1 = __pyx_f_5talib_7_ta_lib__ta_check_success(__pyx_mstate_global->__pyx_n_u_TA_PLUS_DM, __pyx_v_retCode, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 5103, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; @@ -47358,14 +46402,12 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_408VWAP(CYTHON_UNUSED PyObject *__pyx_ /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.VWAP", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.PLUS_DM", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_outreal); __Pyx_XDECREF((PyObject *)__pyx_v_high); __Pyx_XDECREF((PyObject *)__pyx_v_low); - __Pyx_XDECREF((PyObject *)__pyx_v_close); - __Pyx_XDECREF((PyObject *)__pyx_v_volume); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; @@ -47373,16 +46415,16 @@ static PyObject 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*__pyx_pw_5talib_7_ta_lib_411VWMA(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_326PPO, "PPO(ndarray real, int fastperiod=-0x80000000, int slowperiod=-0x80000000, int matype=1)\n\nPPO(real[, fastperiod=?, slowperiod=?, matype=?])\n\nPercentage Price Oscillator (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n fastperiod: 12\n slowperiod: 26\n matype: 1 (Exponential Moving Average)\nOutputs:\n real"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_327PPO = {"PPO", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_327PPO, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_326PPO}; +static PyObject *__pyx_pw_5talib_7_ta_lib_327PPO(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else @@ -47390,19 +46432,20 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { PyArrayObject *__pyx_v_real = 0; - PyArrayObject *__pyx_v_volume = 0; - int __pyx_v_timeperiod; + int __pyx_v_fastperiod; + int __pyx_v_slowperiod; + int __pyx_v_matype; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[3] = {0,0,0}; + PyObject* values[4] = {0,0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("VWMA (wrapper)", 0); + __Pyx_RefNannySetupContext("PPO (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -47412,70 +46455,88 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_volume,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_fastperiod,&__pyx_mstate_global->__pyx_n_u_slowperiod,&__pyx_mstate_global->__pyx_n_u_matype,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 6462, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 5106, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { + case 4: + values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 5106, __pyx_L3_error) + CYTHON_FALLTHROUGH; case 3: values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(4, 6462, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 5106, __pyx_L3_error) CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && 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__PYX_ERR(5, 5106, __pyx_L3_error) + for (Py_ssize_t i = __pyx_nargs; i < 1; i++) { + if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("PPO", 0, 1, 4, i); __PYX_ERR(5, 5106, __pyx_L3_error) } } } else { switch (__pyx_nargs) { + case 4: + values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(5, 5106, __pyx_L3_error) + CYTHON_FALLTHROUGH; case 3: values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(4, 6462, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(5, 5106, __pyx_L3_error) CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 6462, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 5106, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 1: values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - 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static PyObject *__pyx_pf_5talib_7_ta_lib_412WAD(CYTHON_UNUSED PyObject *__pyx_s /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.WAD", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_AddTraceback("talib._ta_lib.PVI", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XDECREF((PyObject *)__pyx_v_outreal); - __Pyx_XDECREF((PyObject *)__pyx_v_high); - __Pyx_XDECREF((PyObject *)__pyx_v_low); __Pyx_XDECREF((PyObject *)__pyx_v_close); + __Pyx_XDECREF((PyObject *)__pyx_v_volume); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; @@ -47762,36 +46798,37 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_412WAD(CYTHON_UNUSED PyObject *__pyx_s /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_415WCLPRICE(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_331PVO(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, 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1 (Exponential Moving Average)\nOutputs:\n real"); +static PyMethodDef __pyx_mdef_5talib_7_ta_lib_331PVO = {"PVO", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_331PVO, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_330PVO}; +static PyObject *__pyx_pw_5talib_7_ta_lib_331PVO(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_high = 0; - PyArrayObject *__pyx_v_low = 0; - PyArrayObject *__pyx_v_close = 0; + PyArrayObject *__pyx_v_volume = 0; + int __pyx_v_fastperiod; + int __pyx_v_slowperiod; + int __pyx_v_matype; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[3] = {0,0,0}; + PyObject* values[4] = {0,0,0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; 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PyArrayObject *__pyx_v_close = 0; - int __pyx_v_timeperiod; + PyArrayObject *__pyx_v_volume = 0; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[4] = {0,0,0,0}; + PyObject* values[2] = {0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("WILLR (wrapper)", 0); + __Pyx_RefNannySetupContext("PVT (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -47996,78 +47041,54 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_high,&__pyx_mstate_global->__pyx_n_u_low,&__pyx_mstate_global->__pyx_n_u_close,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_close,&__pyx_mstate_global->__pyx_n_u_volume,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 6557, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 5202, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { - case 4: - values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(4, 6557, __pyx_L3_error) - CYTHON_FALLTHROUGH; - case 3: - values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(4, 6557, __pyx_L3_error) - CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(4, 6557, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 5202, __pyx_L3_error) CYTHON_FALLTHROUGH; case 1: values[0] 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__pyx_doc_5talib_7_ta_lib_336RMA}; +static PyObject *__pyx_pw_5talib_7_ta_lib_337RMA(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else @@ -48372,7 +47404,7 @@ PyObject *__pyx_args, PyObject *__pyx_kwds int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("ZLEMA (wrapper)", 0); + __Pyx_RefNannySetupContext("RMA (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -48384,60 +47416,60 @@ PyObject *__pyx_args, PyObject *__pyx_kwds { PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(4, 6621, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 5264, __pyx_L3_error) if (__pyx_kwds_len > 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__pyx_v_endidx; @@ -48472,31 +47504,31 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_420ZLEMA(CYTHON_UNUSED PyObject *__pyx int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; - __Pyx_RefNannySetupContext("ZLEMA", 0); + __Pyx_RefNannySetupContext("RMA", 0); __Pyx_INCREF((PyObject *)__pyx_v_real); - __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_check_array(__pyx_v_real)); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 6642, __pyx_L1_error) + __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_check_array(__pyx_v_real)); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 5285, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF_SET(__pyx_v_real, ((PyArrayObject *)__pyx_t_1)); __pyx_t_1 = 0; __pyx_v_length = (__pyx_f_5numpy_7ndarray_5shape_shape(__pyx_v_real)[0]); - __pyx_t_2 = __pyx_f_5talib_7_ta_lib_check_begidx1(__pyx_v_length, ((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_real))); if (unlikely(__pyx_t_2 == ((npy_int)-1) && PyErr_Occurred())) __PYX_ERR(4, 6644, __pyx_L1_error) + __pyx_t_2 = __pyx_f_5talib_7_ta_lib_check_begidx1(__pyx_v_length, ((double *)__pyx_f_5numpy_7ndarray_4data_data(__pyx_v_real))); if (unlikely(__pyx_t_2 == ((npy_int)-1) && PyErr_Occurred())) __PYX_ERR(5, 5287, __pyx_L1_error) __pyx_v_begidx = __pyx_t_2; __pyx_v_endidx = ((((int)__pyx_v_length) - __pyx_v_begidx) - 1); - __pyx_v_lookback = (__pyx_v_begidx + TA_ZLEMA_Lookback(__pyx_v_timeperiod)); + __pyx_v_lookback = (__pyx_v_begidx + TA_RMA_Lookback(__pyx_v_timeperiod)); - __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_make_double_array(__pyx_v_length, __pyx_v_lookback)); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 6647, __pyx_L1_error) + __pyx_t_1 = ((PyObject *)__pyx_f_5talib_7_ta_lib_make_double_array(__pyx_v_length, __pyx_v_lookback)); if (unlikely(!__pyx_t_1)) __PYX_ERR(5, 5290, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __pyx_v_outreal = ((PyArrayObject *)__pyx_t_1); __pyx_t_1 = 0; - __pyx_v_retCode = TA_ZLEMA(0, __pyx_v_endidx, (((double 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- PyObject *__pyx_v_s = 0; + PyArrayObject *__pyx_v_real = 0; + int __pyx_v_timeperiod; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[1] = {0}; + PyObject* values[2] = {0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("str2bytes (wrapper)", 0); + __Pyx_RefNannySetupContext("ROC (wrapper)", 0); #if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_SIZE __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); @@ -48558,87 +47591,138 @@ PyObject *__pyx_args, PyObject *__pyx_kwds #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); { - PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_s,0}; + PyObject ** const __pyx_pyargnames[] = {&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(2, 73, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 5295, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { + case 2: + values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 5295, __pyx_L3_error) + CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(2, 73, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 5295, __pyx_L3_error) CYTHON_FALLTHROUGH; case 0: break; default: goto __pyx_L5_argtuple_error; } const Py_ssize_t kwd_pos_args = __pyx_nargs; - if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, kwd_pos_args, __pyx_kwds_len, "str2bytes", 0) < (0)) __PYX_ERR(2, 73, __pyx_L3_error) + if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, 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{&__pyx_mstate_global->__pyx_n_u_real,&__pyx_mstate_global->__pyx_n_u_timeperiod,0}; const Py_ssize_t __pyx_kwds_len = (__pyx_kwds) ? __Pyx_NumKwargs_FASTCALL(__pyx_kwds) : 0; - if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(2, 81, __pyx_L3_error) + if (unlikely(__pyx_kwds_len < 0)) __PYX_ERR(5, 5357, __pyx_L3_error) if (__pyx_kwds_len > 0) { switch (__pyx_nargs) { + case 2: + values[1] = __Pyx_ArgRef_FASTCALL(__pyx_args, 1); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[1])) __PYX_ERR(5, 5357, __pyx_L3_error) + CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_ArgRef_FASTCALL(__pyx_args, 0); - if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(2, 81, __pyx_L3_error) + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[0])) __PYX_ERR(5, 5357, __pyx_L3_error) CYTHON_FALLTHROUGH; case 0: break; default: goto __pyx_L5_argtuple_error; } const Py_ssize_t kwd_pos_args = __pyx_nargs; - if (__Pyx_ParseKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values, 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+ __Pyx_XDECREF((PyObject *)__pyx_v_outreal); __Pyx_XDECREF((PyObject *)__pyx_v_high); __Pyx_XDECREF((PyObject *)__pyx_v_low); + __Pyx_XDECREF((PyObject *)__pyx_v_close); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; @@ -58460,16 +55213,16 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_446stream_AC(CYTHON_UNUSED PyObject *_ /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_449stream_ACCBANDS(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_417WILLR(PyObject *__pyx_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); /*proto*/ -PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_448stream_ACCBANDS, "stream_ACCBANDS(ndarray high, ndarray low, ndarray close, int timeperiod=-0x80000000)\n\nACCBANDS(high, low, close[, timeperiod=?])\n\nAcceleration Bands (Overlap Studies)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 20\nOutputs:\n upperband\n middleband\n lowerband"); 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if (unlikely(!__pyx_t_5)) __PYX_ERR(3, 3108, __pyx_L1_error) + __Pyx_GOTREF(__pyx_t_5); + __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; + __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(3, 3108, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); + __Pyx_INCREF((PyObject *)__pyx_v_stream); + __Pyx_GIVEREF((PyObject *)__pyx_v_stream); + if (__Pyx_PyTuple_SET_ITEM(__pyx_t_1, 0, ((PyObject *)__pyx_v_stream)) != (0)) __PYX_ERR(3, 3108, __pyx_L1_error); + __Pyx_GIVEREF(__pyx_t_5); + if (__Pyx_PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_5) != (0)) __PYX_ERR(3, 3108, __pyx_L1_error); + __pyx_t_5 = 0; __pyx_r = __pyx_t_1; __pyx_t_1 = 0; goto __pyx_L0; @@ -74179,13 +72250,17 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_598stream_CDLTAKURI(CYTHON_UNUSED PyOb /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_1); - __Pyx_AddTraceback("talib._ta_lib.stream_CDLTAKURI", __pyx_clineno, __pyx_lineno, __pyx_filename); + __Pyx_XDECREF(__pyx_t_5); + __Pyx_AddTraceback("talib._ta_lib.ADOSC_Stream.open_and_fill", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; - __Pyx_XDECREF((PyObject *)__pyx_v_open); - __Pyx_XDECREF((PyObject *)__pyx_v_high); - __Pyx_XDECREF((PyObject *)__pyx_v_low); - __Pyx_XDECREF((PyObject *)__pyx_v_close); + __Pyx_XDECREF((PyObject *)__pyx_v_a_high); + __Pyx_XDECREF((PyObject *)__pyx_v_a_low); + __Pyx_XDECREF((PyObject *)__pyx_v_a_close); + __Pyx_XDECREF((PyObject *)__pyx_v_a_volume); + __Pyx_XDECREF(__pyx_v_arrays); + __Pyx_XDECREF((PyObject *)__pyx_v_outreal); + __Pyx_XDECREF((PyObject *)__pyx_v_stream); __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; @@ -74193,26 +72268,25 @@ static PyObject *__pyx_pf_5talib_7_ta_lib_598stream_CDLTAKURI(CYTHON_UNUSED PyOb /* Python wrapper */ -static PyObject *__pyx_pw_5talib_7_ta_lib_601stream_CDLTASUKIGAP(PyObject *__pyx_self, +static PyObject *__pyx_pw_5talib_7_ta_lib_12ADOSC_Stream_7update(PyObject *__pyx_v_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ); 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-static PyObject *__pyx_pw_5talib_7_ta_lib_637stream_DONCHIAN(PyObject *__pyx_self, +PyDoc_STRVAR(__pyx_doc_5talib_7_ta_lib_9AO_Stream_8peek, "AO_Stream.peek(self, double high, double low)"); +static PyObject *__pyx_pw_5talib_7_ta_lib_9AO_Stream_9peek(PyObject *__pyx_v_self, #if CYTHON_METH_FASTCALL PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds #else PyObject *__pyx_args, PyObject *__pyx_kwds #endif ) { - PyArrayObject *__pyx_v_high = 0; - PyArrayObject *__pyx_v_low = 0; - int __pyx_v_timeperiod; + double __pyx_v_high; + double __pyx_v_low; #if !CYTHON_METH_FASTCALL CYTHON_UNUSED Py_ssize_t __pyx_nargs; #endif CYTHON_UNUSED PyObject *const *__pyx_kwvalues; - PyObject* values[3] = {0,0,0}; + PyObject* values[2] = {0,0}; int __pyx_lineno = 0; const char *__pyx_filename = NULL; int __pyx_clineno = 0; PyObject *__pyx_r = 0; __Pyx_RefNannyDeclarations - __Pyx_RefNannySetupContext("stream_DONCHIAN (wrapper)", 0); + __Pyx_RefNannySetupContext("peek (wrapper)", 0); 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i < 1; i++) { + if (unlikely(!values[i])) { __Pyx_RaiseArgtupleInvalid("open_and_fill", 0, 1, 7, i); __PYX_ERR(3, 15167, __pyx_L3_error) } + } + } else { + switch (__pyx_nargs) { + case 7: + values[6] = __Pyx_ArgRef_FASTCALL(__pyx_args, 6); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[6])) __PYX_ERR(3, 15167, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 6: + values[5] = __Pyx_ArgRef_FASTCALL(__pyx_args, 5); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[5])) __PYX_ERR(3, 15167, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 5: + values[4] = __Pyx_ArgRef_FASTCALL(__pyx_args, 4); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[4])) __PYX_ERR(3, 15167, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 4: + values[3] = __Pyx_ArgRef_FASTCALL(__pyx_args, 3); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[3])) __PYX_ERR(3, 15167, __pyx_L3_error) + CYTHON_FALLTHROUGH; + case 3: + values[2] = __Pyx_ArgRef_FASTCALL(__pyx_args, 2); + if (!CYTHON_ASSUME_SAFE_MACROS && unlikely(!values[2])) __PYX_ERR(3, 15167, __pyx_L3_error) + CYTHON_FALLTHROUGH; 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+ if (unlikely(__pyx_pw_5talib_7_ta_lib_6Stream_1__cinit__(o, __pyx_mstate_global->__pyx_empty_tuple, NULL) < 0)) goto bad; + return o; + bad: + Py_DECREF(o); o = 0; + return NULL; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_Stream(PyObject *o) { + struct __pyx_obj_5talib_7_ta_lib_Stream *p = (struct __pyx_obj_5talib_7_ta_lib_Stream *)o; + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + if (p->__weakref__) PyObject_ClearWeakRefs(o); + PyTypeObject *tp = Py_TYPE(o); + #if CYTHON_USE_TYPE_SLOTS + (*tp->tp_free)(o); + #else + { + freefunc tp_free = (freefunc)PyType_GetSlot(tp, Py_tp_free); + if (tp_free) tp_free(o); + } + #endif + #if CYTHON_USE_TYPE_SPECS + Py_DECREF(tp); + #endif +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_6Stream_out_range(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_6Stream_9out_range_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_Stream[] = { + {"advance", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_6Stream_3advance, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_6Stream_2advance}, + {"__copy__", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_6Stream_5__copy__, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_6Stream_4__copy__}, + {"__deepcopy__", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_6Stream_7__deepcopy__, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_6Stream_6__deepcopy__}, + {"__reduce__", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_6Stream_9__reduce__, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_6Stream_8__reduce__}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_Stream[] = { + {"out_range", __pyx_getprop_5talib_7_ta_lib_6Stream_out_range, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyMemberDef __pyx_type_5talib_7_ta_lib_Stream_members[] = { + #if !CYTHON_USE_TYPE_SLOTS + {"__weaklistoffset__", T_PYSSIZET, offsetof(struct __pyx_obj_5talib_7_ta_lib_Stream, __weakref__), READONLY, 0}, + #endif + {0, 0, 0, 0, 0} +}; +#if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x03090000 +#if defined(__GNUC__) || defined(__clang__) +#warning "talib/_stream.pxi:2506:16: : __weakref__ is unsupported in the Limited API when running on Python <3.9." +#elif defined(_MSC_VER) +#pragma message("talib/_stream.pxi:2506:16: : __weakref__ is unsupported in the Limited API when running on Python <3.9.") +#endif +#endif +static PyType_Slot __pyx_type_5talib_7_ta_lib_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("Base class of every talib.stream handle.\n\n Carries what does not depend on the function: the opaque C handle, and the\n offset of the first history bar the batch tier would have used.")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_Stream}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_Stream}, + {Py_tp_members, (void*)__pyx_type_5talib_7_ta_lib_Stream_members}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_Stream_spec = { + "talib._ta_lib.Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("Base class of every talib.stream handle.\n\n Carries what does not depend on the function: the opaque C handle, and the\n offset of the first history bar the batch tier would have used."), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + 0, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_AC_Stream __pyx_vtable_5talib_7_ta_lib_AC_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_AC_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_AC_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_AC_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_AC_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_AC_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_AC_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_9AC_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_9AC_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_9AC_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_AC_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9AC_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9AC_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9AC_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9AC_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9AC_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9AC_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9AC_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9AC_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_AC_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_9AC_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_AC_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_AC_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("AC_Stream(high, low, int fastperiod=-0x80000000, int slowperiod=-0x80000000, int signalperiod=-0x80000000)\n\nAC(high, low[, fastperiod=?, slowperiod=?, signalperiod=?])\n\nAccelerator/Decelerator Oscillator (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n fastperiod: 5\n slowperiod: 34\n signalperiod: 5\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_AC_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_AC_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_9AC_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_AC_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_AC_Stream_spec = { + "talib._ta_lib.AC_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_AC_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_AC_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_AC_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""AC_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_AC_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_AC_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("AC_Stream(high, low, int fastperiod=-0x80000000, int slowperiod=-0x80000000, int signalperiod=-0x80000000)\n\nAC(high, low[, fastperiod=?, slowperiod=?, signalperiod=?])\n\nAccelerator/Decelerator Oscillator (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n fastperiod: 5\n slowperiod: 34\n signalperiod: 5\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_AC_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_AC_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_9AC_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_AC_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_ACCBANDS_Stream __pyx_vtable_5talib_7_ta_lib_ACCBANDS_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ACCBANDS_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_ACCBANDS_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_ACCBANDS_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_ACCBANDS_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_ACCBANDS_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_ACCBANDS_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_15ACCBANDS_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_15ACCBANDS_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_15ACCBANDS_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_ACCBANDS_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15ACCBANDS_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15ACCBANDS_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15ACCBANDS_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15ACCBANDS_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15ACCBANDS_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15ACCBANDS_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15ACCBANDS_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15ACCBANDS_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_ACCBANDS_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_15ACCBANDS_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_ACCBANDS_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_ACCBANDS_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("ACCBANDS_Stream(high, low, close, int timeperiod=-0x80000000)\n\nACCBANDS(high, low, close[, timeperiod=?])\n\nAcceleration Bands (Overlap Studies)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 20\nOutputs:\n upperband\n middleband\n lowerband")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_ACCBANDS_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_ACCBANDS_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_15ACCBANDS_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_ACCBANDS_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_ACCBANDS_Stream_spec = { + "talib._ta_lib.ACCBANDS_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_ACCBANDS_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_ACCBANDS_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_ACCBANDS_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""ACCBANDS_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_ACCBANDS_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_ACCBANDS_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("ACCBANDS_Stream(high, low, close, int timeperiod=-0x80000000)\n\nACCBANDS(high, low, close[, timeperiod=?])\n\nAcceleration Bands (Overlap Studies)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 20\nOutputs:\n upperband\n middleband\n lowerband"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_ACCBANDS_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_ACCBANDS_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_15ACCBANDS_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_ACCBANDS_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_ACOS_Stream __pyx_vtable_5talib_7_ta_lib_ACOS_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ACOS_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_ACOS_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_ACOS_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_ACOS_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_ACOS_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_ACOS_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11ACOS_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11ACOS_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11ACOS_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_ACOS_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ACOS_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ACOS_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ACOS_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ACOS_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ACOS_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ACOS_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ACOS_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ACOS_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_ACOS_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11ACOS_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_ACOS_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_ACOS_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("ACOS_Stream(real)\n\nACOS(real)\n\nVector Trigonometric ACos (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_ACOS_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_ACOS_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11ACOS_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_ACOS_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_ACOS_Stream_spec = { + "talib._ta_lib.ACOS_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_ACOS_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_ACOS_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_ACOS_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""ACOS_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_ACOS_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_ACOS_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("ACOS_Stream(real)\n\nACOS(real)\n\nVector Trigonometric ACos (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_ACOS_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_ACOS_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11ACOS_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_ACOS_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_AD_Stream __pyx_vtable_5talib_7_ta_lib_AD_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_AD_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_AD_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_AD_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_AD_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_AD_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_AD_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_9AD_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_9AD_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_9AD_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_AD_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9AD_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9AD_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9AD_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9AD_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9AD_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9AD_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9AD_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9AD_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_AD_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_9AD_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_AD_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_AD_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("AD_Stream(high, low, close, volume)\n\nAD(high, low, close, volume)\n\nChaikin A/D Line (Volume Indicators)\n\nInputs:\n prices: ['high', 'low', 'close', 'volume']\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_AD_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_AD_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_9AD_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_AD_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_AD_Stream_spec = { + "talib._ta_lib.AD_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_AD_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_AD_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_AD_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""AD_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_AD_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_AD_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("AD_Stream(high, low, close, volume)\n\nAD(high, low, close, volume)\n\nChaikin A/D Line (Volume Indicators)\n\nInputs:\n prices: ['high', 'low', 'close', 'volume']\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_AD_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_AD_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_9AD_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_AD_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_ADD_Stream __pyx_vtable_5talib_7_ta_lib_ADD_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ADD_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_ADD_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_ADD_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_ADD_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_ADD_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_ADD_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10ADD_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10ADD_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10ADD_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_ADD_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ADD_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ADD_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ADD_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ADD_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ADD_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ADD_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ADD_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ADD_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_ADD_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10ADD_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_ADD_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_ADD_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("ADD_Stream(real0, real1)\n\nADD(real0, real1)\n\nVector Arithmetic Add (Math Operators)\n\nInputs:\n real0: (any ndarray)\n real1: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_ADD_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_ADD_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10ADD_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_ADD_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_ADD_Stream_spec = { + "talib._ta_lib.ADD_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_ADD_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_ADD_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_ADD_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""ADD_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_ADD_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_ADD_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("ADD_Stream(real0, real1)\n\nADD(real0, real1)\n\nVector Arithmetic Add (Math Operators)\n\nInputs:\n real0: (any ndarray)\n real1: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_ADD_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_ADD_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10ADD_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_ADD_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_ADOSC_Stream __pyx_vtable_5talib_7_ta_lib_ADOSC_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ADOSC_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_ADOSC_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_ADOSC_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_ADOSC_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_ADOSC_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_ADOSC_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_12ADOSC_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_12ADOSC_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_12ADOSC_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_ADOSC_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12ADOSC_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12ADOSC_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12ADOSC_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12ADOSC_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12ADOSC_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12ADOSC_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12ADOSC_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12ADOSC_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_ADOSC_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_12ADOSC_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_ADOSC_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_ADOSC_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("ADOSC_Stream(high, low, close, volume, int fastperiod=-0x80000000, int slowperiod=-0x80000000)\n\nADOSC(high, low, close, volume[, fastperiod=?, slowperiod=?])\n\nChaikin A/D Oscillator (Volume Indicators)\n\nInputs:\n prices: ['high', 'low', 'close', 'volume']\nParameters:\n fastperiod: 3\n slowperiod: 10\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_ADOSC_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_ADOSC_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_12ADOSC_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_ADOSC_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_ADOSC_Stream_spec = { + "talib._ta_lib.ADOSC_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_ADOSC_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_ADOSC_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_ADOSC_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""ADOSC_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_ADOSC_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_ADOSC_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("ADOSC_Stream(high, low, close, volume, int fastperiod=-0x80000000, int slowperiod=-0x80000000)\n\nADOSC(high, low, close, volume[, fastperiod=?, slowperiod=?])\n\nChaikin A/D Oscillator (Volume Indicators)\n\nInputs:\n prices: ['high', 'low', 'close', 'volume']\nParameters:\n fastperiod: 3\n slowperiod: 10\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_ADOSC_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_ADOSC_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_12ADOSC_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_ADOSC_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_ADR_Stream __pyx_vtable_5talib_7_ta_lib_ADR_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ADR_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_ADR_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_ADR_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_ADR_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_ADR_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_ADR_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10ADR_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10ADR_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10ADR_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_ADR_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ADR_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ADR_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ADR_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ADR_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ADR_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ADR_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ADR_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ADR_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_ADR_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10ADR_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_ADR_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_ADR_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("ADR_Stream(high, low, int timeperiod=-0x80000000)\n\nADR(high, low[, timeperiod=?])\n\nAverage Day Range (Volatility Indicators)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_ADR_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_ADR_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10ADR_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_ADR_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_ADR_Stream_spec = { + "talib._ta_lib.ADR_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_ADR_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_ADR_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_ADR_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""ADR_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_ADR_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_ADR_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("ADR_Stream(high, low, int timeperiod=-0x80000000)\n\nADR(high, low[, timeperiod=?])\n\nAverage Day Range (Volatility Indicators)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_ADR_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_ADR_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10ADR_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_ADR_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_ADX_Stream __pyx_vtable_5talib_7_ta_lib_ADX_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ADX_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_ADX_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_ADX_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_ADX_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_ADX_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_ADX_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10ADX_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10ADX_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10ADX_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_ADX_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ADX_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ADX_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ADX_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ADX_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ADX_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ADX_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ADX_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ADX_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_ADX_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10ADX_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_ADX_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_ADX_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("ADX_Stream(high, low, close, int timeperiod=-0x80000000)\n\nADX(high, low, close[, timeperiod=?])\n\nAverage Directional Movement Index (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_ADX_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_ADX_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10ADX_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_ADX_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_ADX_Stream_spec = { + "talib._ta_lib.ADX_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_ADX_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_ADX_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_ADX_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""ADX_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_ADX_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_ADX_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("ADX_Stream(high, low, close, int timeperiod=-0x80000000)\n\nADX(high, low, close[, timeperiod=?])\n\nAverage Directional Movement Index (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_ADX_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_ADX_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10ADX_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_ADX_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_ADXR_Stream __pyx_vtable_5talib_7_ta_lib_ADXR_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ADXR_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_ADXR_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_ADXR_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_ADXR_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_ADXR_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_ADXR_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11ADXR_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11ADXR_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11ADXR_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_ADXR_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ADXR_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ADXR_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ADXR_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ADXR_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ADXR_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ADXR_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ADXR_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ADXR_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_ADXR_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11ADXR_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_ADXR_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_ADXR_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("ADXR_Stream(high, low, close, int timeperiod=-0x80000000)\n\nADXR(high, low, close[, timeperiod=?])\n\nAverage Directional Movement Index Rating (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_ADXR_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_ADXR_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11ADXR_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_ADXR_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_ADXR_Stream_spec = { + "talib._ta_lib.ADXR_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_ADXR_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_ADXR_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_ADXR_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""ADXR_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_ADXR_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_ADXR_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("ADXR_Stream(high, low, close, int timeperiod=-0x80000000)\n\nADXR(high, low, close[, timeperiod=?])\n\nAverage Directional Movement Index Rating (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_ADXR_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_ADXR_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11ADXR_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_ADXR_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_AO_Stream __pyx_vtable_5talib_7_ta_lib_AO_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_AO_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_AO_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_AO_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_AO_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_AO_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_AO_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_9AO_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_9AO_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_9AO_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_AO_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9AO_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9AO_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9AO_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9AO_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9AO_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9AO_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9AO_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9AO_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_AO_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_9AO_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_AO_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_AO_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("AO_Stream(high, low, int fastperiod=-0x80000000, int slowperiod=-0x80000000)\n\nAO(high, low[, fastperiod=?, slowperiod=?])\n\nAwesome Oscillator (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n fastperiod: 5\n slowperiod: 34\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_AO_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_AO_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_9AO_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_AO_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_AO_Stream_spec = { + "talib._ta_lib.AO_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_AO_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_AO_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_AO_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""AO_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_AO_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_AO_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("AO_Stream(high, low, int fastperiod=-0x80000000, int slowperiod=-0x80000000)\n\nAO(high, low[, fastperiod=?, slowperiod=?])\n\nAwesome Oscillator (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n fastperiod: 5\n slowperiod: 34\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_AO_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_AO_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_9AO_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_AO_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_APO_Stream __pyx_vtable_5talib_7_ta_lib_APO_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_APO_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_APO_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_APO_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_APO_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_APO_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_APO_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10APO_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10APO_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10APO_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_APO_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10APO_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10APO_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10APO_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10APO_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10APO_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10APO_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10APO_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10APO_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_APO_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10APO_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_APO_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_APO_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("APO_Stream(real, int fastperiod=-0x80000000, int slowperiod=-0x80000000, int matype=1)\n\nAPO(real[, fastperiod=?, slowperiod=?, matype=?])\n\nAbsolute Price Oscillator (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n fastperiod: 12\n slowperiod: 26\n matype: 1 (Exponential Moving Average)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_APO_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_APO_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10APO_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_APO_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_APO_Stream_spec = { + "talib._ta_lib.APO_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_APO_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_APO_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_APO_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""APO_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_APO_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_APO_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("APO_Stream(real, int fastperiod=-0x80000000, int slowperiod=-0x80000000, int matype=1)\n\nAPO(real[, fastperiod=?, slowperiod=?, matype=?])\n\nAbsolute Price Oscillator (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n fastperiod: 12\n slowperiod: 26\n matype: 1 (Exponential Moving Average)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_APO_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_APO_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10APO_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_APO_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_AROON_Stream __pyx_vtable_5talib_7_ta_lib_AROON_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_AROON_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_AROON_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_AROON_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_AROON_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_AROON_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_AROON_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_12AROON_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_12AROON_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_12AROON_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_AROON_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12AROON_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12AROON_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12AROON_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12AROON_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12AROON_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12AROON_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12AROON_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12AROON_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_AROON_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_12AROON_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_AROON_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_AROON_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("AROON_Stream(high, low, int timeperiod=-0x80000000)\n\nAROON(high, low[, timeperiod=?])\n\nAroon (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n timeperiod: 14\nOutputs:\n aroondown\n aroonup")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_AROON_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_AROON_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_12AROON_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_AROON_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_AROON_Stream_spec = { + "talib._ta_lib.AROON_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_AROON_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_AROON_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_AROON_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""AROON_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_AROON_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_AROON_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("AROON_Stream(high, low, int timeperiod=-0x80000000)\n\nAROON(high, low[, timeperiod=?])\n\nAroon (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n timeperiod: 14\nOutputs:\n aroondown\n aroonup"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_AROON_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_AROON_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_12AROON_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_AROON_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_AROONOSC_Stream __pyx_vtable_5talib_7_ta_lib_AROONOSC_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_AROONOSC_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_AROONOSC_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_AROONOSC_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_AROONOSC_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_AROONOSC_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_AROONOSC_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_15AROONOSC_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_15AROONOSC_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_15AROONOSC_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_AROONOSC_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15AROONOSC_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15AROONOSC_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15AROONOSC_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15AROONOSC_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15AROONOSC_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15AROONOSC_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15AROONOSC_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15AROONOSC_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_AROONOSC_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_15AROONOSC_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_AROONOSC_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_AROONOSC_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("AROONOSC_Stream(high, low, int timeperiod=-0x80000000)\n\nAROONOSC(high, low[, timeperiod=?])\n\nAroon Oscillator (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_AROONOSC_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_AROONOSC_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_15AROONOSC_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_AROONOSC_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_AROONOSC_Stream_spec = { + "talib._ta_lib.AROONOSC_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_AROONOSC_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_AROONOSC_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_AROONOSC_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""AROONOSC_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_AROONOSC_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_AROONOSC_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("AROONOSC_Stream(high, low, int timeperiod=-0x80000000)\n\nAROONOSC(high, low[, timeperiod=?])\n\nAroon Oscillator (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_AROONOSC_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_AROONOSC_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_15AROONOSC_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_AROONOSC_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_ASIN_Stream __pyx_vtable_5talib_7_ta_lib_ASIN_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ASIN_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_ASIN_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_ASIN_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_ASIN_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_ASIN_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_ASIN_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11ASIN_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11ASIN_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11ASIN_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_ASIN_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ASIN_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ASIN_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ASIN_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ASIN_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ASIN_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ASIN_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ASIN_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ASIN_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_ASIN_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11ASIN_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_ASIN_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_ASIN_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("ASIN_Stream(real)\n\nASIN(real)\n\nVector Trigonometric ASin (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_ASIN_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_ASIN_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11ASIN_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_ASIN_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_ASIN_Stream_spec = { + "talib._ta_lib.ASIN_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_ASIN_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_ASIN_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_ASIN_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""ASIN_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_ASIN_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_ASIN_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("ASIN_Stream(real)\n\nASIN(real)\n\nVector Trigonometric ASin (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_ASIN_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_ASIN_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11ASIN_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_ASIN_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_ATAN_Stream __pyx_vtable_5talib_7_ta_lib_ATAN_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ATAN_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_ATAN_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_ATAN_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_ATAN_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_ATAN_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_ATAN_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11ATAN_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11ATAN_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11ATAN_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_ATAN_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ATAN_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ATAN_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ATAN_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ATAN_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ATAN_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ATAN_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ATAN_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ATAN_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_ATAN_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11ATAN_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_ATAN_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_ATAN_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("ATAN_Stream(real)\n\nATAN(real)\n\nVector Trigonometric ATan (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_ATAN_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_ATAN_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11ATAN_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_ATAN_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_ATAN_Stream_spec = { + "talib._ta_lib.ATAN_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_ATAN_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_ATAN_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_ATAN_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""ATAN_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_ATAN_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_ATAN_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("ATAN_Stream(real)\n\nATAN(real)\n\nVector Trigonometric ATan (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_ATAN_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_ATAN_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11ATAN_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_ATAN_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_ATR_Stream __pyx_vtable_5talib_7_ta_lib_ATR_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ATR_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_ATR_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_ATR_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_ATR_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_ATR_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_ATR_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10ATR_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10ATR_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10ATR_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_ATR_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ATR_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ATR_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ATR_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ATR_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ATR_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ATR_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ATR_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ATR_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_ATR_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10ATR_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_ATR_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_ATR_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("ATR_Stream(high, low, close, int timeperiod=-0x80000000)\n\nATR(high, low, close[, timeperiod=?])\n\nAverage True Range (Volatility Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_ATR_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_ATR_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10ATR_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_ATR_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_ATR_Stream_spec = { + "talib._ta_lib.ATR_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_ATR_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_ATR_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_ATR_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""ATR_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_ATR_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_ATR_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("ATR_Stream(high, low, close, int timeperiod=-0x80000000)\n\nATR(high, low, close[, timeperiod=?])\n\nAverage True Range (Volatility Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_ATR_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_ATR_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10ATR_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_ATR_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_AVGDEV_Stream __pyx_vtable_5talib_7_ta_lib_AVGDEV_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_AVGDEV_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_AVGDEV_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_AVGDEV_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_AVGDEV_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_AVGDEV_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_AVGDEV_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_13AVGDEV_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_13AVGDEV_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_13AVGDEV_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_AVGDEV_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13AVGDEV_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13AVGDEV_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13AVGDEV_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13AVGDEV_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13AVGDEV_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13AVGDEV_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13AVGDEV_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13AVGDEV_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_AVGDEV_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_13AVGDEV_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_AVGDEV_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_AVGDEV_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("AVGDEV_Stream(real, int timeperiod=-0x80000000)\n\nAVGDEV(real[, timeperiod=?])\n\nAverage Deviation (Price Transform)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_AVGDEV_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_AVGDEV_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_13AVGDEV_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_AVGDEV_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_AVGDEV_Stream_spec = { + "talib._ta_lib.AVGDEV_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_AVGDEV_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_AVGDEV_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_AVGDEV_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""AVGDEV_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_AVGDEV_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_AVGDEV_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("AVGDEV_Stream(real, int timeperiod=-0x80000000)\n\nAVGDEV(real[, timeperiod=?])\n\nAverage Deviation (Price Transform)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_AVGDEV_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_AVGDEV_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_13AVGDEV_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_AVGDEV_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_AVGPRICE_Stream __pyx_vtable_5talib_7_ta_lib_AVGPRICE_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_AVGPRICE_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_AVGPRICE_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_AVGPRICE_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_AVGPRICE_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_AVGPRICE_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_AVGPRICE_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_15AVGPRICE_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_15AVGPRICE_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_15AVGPRICE_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_AVGPRICE_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15AVGPRICE_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15AVGPRICE_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15AVGPRICE_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15AVGPRICE_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15AVGPRICE_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15AVGPRICE_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15AVGPRICE_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15AVGPRICE_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_AVGPRICE_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_15AVGPRICE_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_AVGPRICE_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_AVGPRICE_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("AVGPRICE_Stream(open, high, low, close)\n\nAVGPRICE(open, high, low, close)\n\nAverage Price (Price Transform)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_AVGPRICE_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_AVGPRICE_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_15AVGPRICE_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_AVGPRICE_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_AVGPRICE_Stream_spec = { + "talib._ta_lib.AVGPRICE_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_AVGPRICE_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_AVGPRICE_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_AVGPRICE_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""AVGPRICE_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_AVGPRICE_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_AVGPRICE_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("AVGPRICE_Stream(open, high, low, close)\n\nAVGPRICE(open, high, low, close)\n\nAverage Price (Price Transform)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_AVGPRICE_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_AVGPRICE_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_15AVGPRICE_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_AVGPRICE_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_BBANDS_Stream __pyx_vtable_5talib_7_ta_lib_BBANDS_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_BBANDS_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_BBANDS_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_BBANDS_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_BBANDS_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_BBANDS_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_BBANDS_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_13BBANDS_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_13BBANDS_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_13BBANDS_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_BBANDS_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13BBANDS_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13BBANDS_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13BBANDS_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13BBANDS_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13BBANDS_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13BBANDS_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13BBANDS_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13BBANDS_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_BBANDS_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_13BBANDS_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_BBANDS_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_BBANDS_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("BBANDS_Stream(real, int timeperiod=-0x80000000, double nbdevup=-4e37, double nbdevdn=-4e37, int matype=0)\n\nBBANDS(real[, timeperiod=?, nbdevup=?, nbdevdn=?, matype=?])\n\nBollinger Bands (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 20\n nbdevup: 2.0\n nbdevdn: 2.0\n matype: 0 (Simple Moving Average)\nOutputs:\n upperband\n middleband\n lowerband")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_BBANDS_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_BBANDS_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_13BBANDS_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_BBANDS_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_BBANDS_Stream_spec = { + "talib._ta_lib.BBANDS_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_BBANDS_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_BBANDS_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_BBANDS_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""BBANDS_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_BBANDS_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_BBANDS_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("BBANDS_Stream(real, int timeperiod=-0x80000000, double nbdevup=-4e37, double nbdevdn=-4e37, int matype=0)\n\nBBANDS(real[, timeperiod=?, nbdevup=?, nbdevdn=?, matype=?])\n\nBollinger Bands (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 20\n nbdevup: 2.0\n nbdevdn: 2.0\n matype: 0 (Simple Moving Average)\nOutputs:\n upperband\n middleband\n lowerband"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_BBANDS_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_BBANDS_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_13BBANDS_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_BBANDS_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_BETA_Stream __pyx_vtable_5talib_7_ta_lib_BETA_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_BETA_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_BETA_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_BETA_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_BETA_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_BETA_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_BETA_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11BETA_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11BETA_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11BETA_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_BETA_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11BETA_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11BETA_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11BETA_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11BETA_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11BETA_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11BETA_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11BETA_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11BETA_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_BETA_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11BETA_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_BETA_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_BETA_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("BETA_Stream(real0, real1, int timeperiod=-0x80000000)\n\nBETA(real0, real1[, timeperiod=?])\n\nBeta (Statistic Functions)\n\nInputs:\n real0: (any ndarray)\n real1: (any ndarray)\nParameters:\n timeperiod: 5\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_BETA_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_BETA_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11BETA_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_BETA_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_BETA_Stream_spec = { + "talib._ta_lib.BETA_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_BETA_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_BETA_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_BETA_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""BETA_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_BETA_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_BETA_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("BETA_Stream(real0, real1, int timeperiod=-0x80000000)\n\nBETA(real0, real1[, timeperiod=?])\n\nBeta (Statistic Functions)\n\nInputs:\n real0: (any ndarray)\n real1: (any ndarray)\nParameters:\n timeperiod: 5\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_BETA_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_BETA_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11BETA_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_BETA_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_BOP_Stream __pyx_vtable_5talib_7_ta_lib_BOP_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_BOP_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_BOP_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_BOP_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_BOP_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_BOP_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_BOP_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10BOP_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10BOP_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10BOP_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_BOP_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10BOP_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10BOP_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10BOP_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10BOP_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10BOP_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10BOP_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10BOP_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10BOP_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_BOP_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10BOP_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_BOP_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_BOP_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("BOP_Stream(open, high, low, close)\n\nBOP(open, high, low, close)\n\nBalance Of Power (Momentum Indicators)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_BOP_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_BOP_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10BOP_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_BOP_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_BOP_Stream_spec = { + "talib._ta_lib.BOP_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_BOP_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_BOP_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_BOP_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""BOP_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_BOP_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_BOP_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("BOP_Stream(open, high, low, close)\n\nBOP(open, high, low, close)\n\nBalance Of Power (Momentum Indicators)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_BOP_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_BOP_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10BOP_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_BOP_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CCI_Stream __pyx_vtable_5talib_7_ta_lib_CCI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CCI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CCI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CCI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CCI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CCI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CCI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10CCI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10CCI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10CCI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CCI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10CCI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10CCI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10CCI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10CCI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10CCI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10CCI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10CCI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10CCI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CCI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10CCI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CCI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CCI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CCI_Stream(high, low, close, int timeperiod=-0x80000000)\n\nCCI(high, low, close[, timeperiod=?])\n\nCommodity Channel Index (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CCI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CCI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10CCI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CCI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CCI_Stream_spec = { + "talib._ta_lib.CCI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CCI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CCI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CCI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CCI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CCI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CCI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CCI_Stream(high, low, close, int timeperiod=-0x80000000)\n\nCCI(high, low, close[, timeperiod=?])\n\nCommodity Channel Index (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CCI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CCI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10CCI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CCI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDL2CROWS_Stream __pyx_vtable_5talib_7_ta_lib_CDL2CROWS_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDL2CROWS_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDL2CROWS_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDL2CROWS_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDL2CROWS_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDL2CROWS_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDL2CROWS_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_16CDL2CROWS_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_16CDL2CROWS_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_16CDL2CROWS_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDL2CROWS_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDL2CROWS_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDL2CROWS_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDL2CROWS_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDL2CROWS_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDL2CROWS_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDL2CROWS_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDL2CROWS_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDL2CROWS_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDL2CROWS_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_16CDL2CROWS_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDL2CROWS_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDL2CROWS_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDL2CROWS_Stream(open, high, low, close)\n\nCDL2CROWS(open, high, low, close)\n\nTwo Crows (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDL2CROWS_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDL2CROWS_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_16CDL2CROWS_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDL2CROWS_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDL2CROWS_Stream_spec = { + "talib._ta_lib.CDL2CROWS_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDL2CROWS_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDL2CROWS_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDL2CROWS_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDL2CROWS_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDL2CROWS_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDL2CROWS_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDL2CROWS_Stream(open, high, low, close)\n\nCDL2CROWS(open, high, low, close)\n\nTwo Crows (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDL2CROWS_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDL2CROWS_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_16CDL2CROWS_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDL2CROWS_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDL3BLACKCROWS_Stream __pyx_vtable_5talib_7_ta_lib_CDL3BLACKCROWS_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDL3BLACKCROWS_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDL3BLACKCROWS_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDL3BLACKCROWS_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDL3BLACKCROWS_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDL3BLACKCROWS_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDL3BLACKCROWS_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDL3BLACKCROWS_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDL3BLACKCROWS_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDL3BLACKCROWS_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDL3BLACKCROWS_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDL3BLACKCROWS_Stream(open, high, low, close)\n\nCDL3BLACKCROWS(open, high, low, close)\n\nThree Black Crows (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDL3BLACKCROWS_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDL3BLACKCROWS_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDL3BLACKCROWS_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDL3BLACKCROWS_Stream_spec = { + "talib._ta_lib.CDL3BLACKCROWS_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDL3BLACKCROWS_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDL3BLACKCROWS_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDL3BLACKCROWS_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDL3BLACKCROWS_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDL3BLACKCROWS_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDL3BLACKCROWS_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDL3BLACKCROWS_Stream(open, high, low, close)\n\nCDL3BLACKCROWS(open, high, low, close)\n\nThree Black Crows (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDL3BLACKCROWS_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDL3BLACKCROWS_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_21CDL3BLACKCROWS_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDL3BLACKCROWS_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDL3INSIDE_Stream __pyx_vtable_5talib_7_ta_lib_CDL3INSIDE_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDL3INSIDE_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDL3INSIDE_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDL3INSIDE_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDL3INSIDE_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDL3INSIDE_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDL3INSIDE_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_17CDL3INSIDE_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_17CDL3INSIDE_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_17CDL3INSIDE_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDL3INSIDE_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17CDL3INSIDE_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17CDL3INSIDE_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17CDL3INSIDE_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17CDL3INSIDE_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17CDL3INSIDE_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17CDL3INSIDE_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17CDL3INSIDE_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17CDL3INSIDE_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDL3INSIDE_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_17CDL3INSIDE_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDL3INSIDE_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDL3INSIDE_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDL3INSIDE_Stream(open, high, low, close)\n\nCDL3INSIDE(open, high, low, close)\n\nThree Inside Up/Down (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDL3INSIDE_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDL3INSIDE_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_17CDL3INSIDE_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDL3INSIDE_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDL3INSIDE_Stream_spec = { + "talib._ta_lib.CDL3INSIDE_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDL3INSIDE_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDL3INSIDE_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDL3INSIDE_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDL3INSIDE_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDL3INSIDE_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDL3INSIDE_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDL3INSIDE_Stream(open, high, low, close)\n\nCDL3INSIDE(open, high, low, close)\n\nThree Inside Up/Down (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDL3INSIDE_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDL3INSIDE_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_17CDL3INSIDE_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDL3INSIDE_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDL3LINESTRIKE_Stream __pyx_vtable_5talib_7_ta_lib_CDL3LINESTRIKE_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDL3LINESTRIKE_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDL3LINESTRIKE_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDL3LINESTRIKE_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDL3LINESTRIKE_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDL3LINESTRIKE_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDL3LINESTRIKE_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDL3LINESTRIKE_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDL3LINESTRIKE_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDL3LINESTRIKE_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDL3LINESTRIKE_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDL3LINESTRIKE_Stream(open, high, low, close)\n\nCDL3LINESTRIKE(open, high, low, close)\n\nThree-Line Strike (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDL3LINESTRIKE_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDL3LINESTRIKE_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDL3LINESTRIKE_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDL3LINESTRIKE_Stream_spec = { + "talib._ta_lib.CDL3LINESTRIKE_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDL3LINESTRIKE_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDL3LINESTRIKE_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDL3LINESTRIKE_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDL3LINESTRIKE_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDL3LINESTRIKE_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDL3LINESTRIKE_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDL3LINESTRIKE_Stream(open, high, low, close)\n\nCDL3LINESTRIKE(open, high, low, close)\n\nThree-Line Strike (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDL3LINESTRIKE_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDL3LINESTRIKE_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_21CDL3LINESTRIKE_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDL3LINESTRIKE_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDL3OUTSIDE_Stream __pyx_vtable_5talib_7_ta_lib_CDL3OUTSIDE_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDL3OUTSIDE_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDL3OUTSIDE_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDL3OUTSIDE_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDL3OUTSIDE_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDL3OUTSIDE_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDL3OUTSIDE_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_18CDL3OUTSIDE_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_18CDL3OUTSIDE_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_18CDL3OUTSIDE_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDL3OUTSIDE_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDL3OUTSIDE_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDL3OUTSIDE_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDL3OUTSIDE_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDL3OUTSIDE_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDL3OUTSIDE_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDL3OUTSIDE_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDL3OUTSIDE_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDL3OUTSIDE_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDL3OUTSIDE_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_18CDL3OUTSIDE_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDL3OUTSIDE_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDL3OUTSIDE_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDL3OUTSIDE_Stream(open, high, low, close)\n\nCDL3OUTSIDE(open, high, low, close)\n\nThree Outside Up/Down (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDL3OUTSIDE_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDL3OUTSIDE_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_18CDL3OUTSIDE_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDL3OUTSIDE_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDL3OUTSIDE_Stream_spec = { + "talib._ta_lib.CDL3OUTSIDE_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDL3OUTSIDE_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDL3OUTSIDE_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDL3OUTSIDE_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDL3OUTSIDE_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDL3OUTSIDE_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDL3OUTSIDE_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDL3OUTSIDE_Stream(open, high, low, close)\n\nCDL3OUTSIDE(open, high, low, close)\n\nThree Outside Up/Down (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDL3OUTSIDE_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDL3OUTSIDE_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_18CDL3OUTSIDE_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDL3OUTSIDE_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream __pyx_vtable_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDL3STARSINSOUTH_Stream(open, high, low, close)\n\nCDL3STARSINSOUTH(open, high, low, close)\n\nThree Stars In The South (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream_spec = { + "talib._ta_lib.CDL3STARSINSOUTH_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDL3STARSINSOUTH_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDL3STARSINSOUTH_Stream(open, high, low, close)\n\nCDL3STARSINSOUTH(open, high, low, close)\n\nThree Stars In The South (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_23CDL3STARSINSOUTH_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDL3STARSINSOUTH_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream __pyx_vtable_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDL3WHITESOLDIERS_Stream(open, high, low, close)\n\nCDL3WHITESOLDIERS(open, high, low, close)\n\nThree Advancing White Soldiers (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream_spec = { + "talib._ta_lib.CDL3WHITESOLDIERS_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDL3WHITESOLDIERS_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDL3WHITESOLDIERS_Stream(open, high, low, close)\n\nCDL3WHITESOLDIERS(open, high, low, close)\n\nThree Advancing White Soldiers (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_24CDL3WHITESOLDIERS_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDL3WHITESOLDIERS_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLABANDONEDBABY_Stream __pyx_vtable_5talib_7_ta_lib_CDLABANDONEDBABY_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLABANDONEDBABY_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLABANDONEDBABY_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLABANDONEDBABY_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLABANDONEDBABY_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLABANDONEDBABY_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLABANDONEDBABY_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLABANDONEDBABY_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLABANDONEDBABY_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLABANDONEDBABY_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLABANDONEDBABY_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLABANDONEDBABY_Stream(open, high, low, close, double penetration=0.3)\n\nCDLABANDONEDBABY(open, high, low, close[, penetration=?])\n\nAbandoned Baby (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nParameters:\n penetration: 0.3\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLABANDONEDBABY_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLABANDONEDBABY_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLABANDONEDBABY_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLABANDONEDBABY_Stream_spec = { + "talib._ta_lib.CDLABANDONEDBABY_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLABANDONEDBABY_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLABANDONEDBABY_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLABANDONEDBABY_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLABANDONEDBABY_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLABANDONEDBABY_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLABANDONEDBABY_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLABANDONEDBABY_Stream(open, high, low, close, double penetration=0.3)\n\nCDLABANDONEDBABY(open, high, low, close[, penetration=?])\n\nAbandoned Baby (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nParameters:\n penetration: 0.3\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLABANDONEDBABY_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLABANDONEDBABY_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_23CDLABANDONEDBABY_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLABANDONEDBABY_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream __pyx_vtable_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLADVANCEBLOCK_Stream(open, high, low, close)\n\nCDLADVANCEBLOCK(open, high, low, close)\n\nAdvance Block (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream_spec = { + "talib._ta_lib.CDLADVANCEBLOCK_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLADVANCEBLOCK_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLADVANCEBLOCK_Stream(open, high, low, close)\n\nCDLADVANCEBLOCK(open, high, low, close)\n\nAdvance Block (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_22CDLADVANCEBLOCK_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLADVANCEBLOCK_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLBELTHOLD_Stream __pyx_vtable_5talib_7_ta_lib_CDLBELTHOLD_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLBELTHOLD_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLBELTHOLD_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLBELTHOLD_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLBELTHOLD_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLBELTHOLD_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLBELTHOLD_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_18CDLBELTHOLD_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_18CDLBELTHOLD_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_18CDLBELTHOLD_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLBELTHOLD_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLBELTHOLD_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLBELTHOLD_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLBELTHOLD_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLBELTHOLD_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLBELTHOLD_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLBELTHOLD_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLBELTHOLD_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLBELTHOLD_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLBELTHOLD_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_18CDLBELTHOLD_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLBELTHOLD_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLBELTHOLD_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLBELTHOLD_Stream(open, high, low, close)\n\nCDLBELTHOLD(open, high, low, close)\n\nBelt-hold (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLBELTHOLD_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLBELTHOLD_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_18CDLBELTHOLD_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLBELTHOLD_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLBELTHOLD_Stream_spec = { + "talib._ta_lib.CDLBELTHOLD_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLBELTHOLD_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLBELTHOLD_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLBELTHOLD_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLBELTHOLD_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLBELTHOLD_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLBELTHOLD_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLBELTHOLD_Stream(open, high, low, close)\n\nCDLBELTHOLD(open, high, low, close)\n\nBelt-hold (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLBELTHOLD_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLBELTHOLD_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_18CDLBELTHOLD_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLBELTHOLD_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLBREAKAWAY_Stream __pyx_vtable_5talib_7_ta_lib_CDLBREAKAWAY_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLBREAKAWAY_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLBREAKAWAY_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLBREAKAWAY_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLBREAKAWAY_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLBREAKAWAY_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLBREAKAWAY_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_19CDLBREAKAWAY_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_19CDLBREAKAWAY_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_19CDLBREAKAWAY_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLBREAKAWAY_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19CDLBREAKAWAY_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19CDLBREAKAWAY_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19CDLBREAKAWAY_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19CDLBREAKAWAY_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19CDLBREAKAWAY_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19CDLBREAKAWAY_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19CDLBREAKAWAY_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19CDLBREAKAWAY_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLBREAKAWAY_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_19CDLBREAKAWAY_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLBREAKAWAY_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLBREAKAWAY_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLBREAKAWAY_Stream(open, high, low, close)\n\nCDLBREAKAWAY(open, high, low, close)\n\nBreakaway (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLBREAKAWAY_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLBREAKAWAY_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_19CDLBREAKAWAY_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLBREAKAWAY_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLBREAKAWAY_Stream_spec = { + "talib._ta_lib.CDLBREAKAWAY_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLBREAKAWAY_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLBREAKAWAY_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLBREAKAWAY_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLBREAKAWAY_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLBREAKAWAY_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLBREAKAWAY_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLBREAKAWAY_Stream(open, high, low, close)\n\nCDLBREAKAWAY(open, high, low, close)\n\nBreakaway (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLBREAKAWAY_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLBREAKAWAY_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_19CDLBREAKAWAY_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLBREAKAWAY_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream __pyx_vtable_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLCLOSINGMARUBOZU_Stream(open, high, low, close)\n\nCDLCLOSINGMARUBOZU(open, high, low, close)\n\nClosing Marubozu (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream_spec = { + "talib._ta_lib.CDLCLOSINGMARUBOZU_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLCLOSINGMARUBOZU_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLCLOSINGMARUBOZU_Stream(open, high, low, close)\n\nCDLCLOSINGMARUBOZU(open, high, low, close)\n\nClosing Marubozu (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_25CDLCLOSINGMARUBOZU_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLCLOSINGMARUBOZU_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream __pyx_vtable_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLCONCEALBABYSWALL_Stream(open, high, low, close)\n\nCDLCONCEALBABYSWALL(open, high, low, close)\n\nConcealing Baby Swallow (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream_spec = { + "talib._ta_lib.CDLCONCEALBABYSWALL_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLCONCEALBABYSWALL_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLCONCEALBABYSWALL_Stream(open, high, low, close)\n\nCDLCONCEALBABYSWALL(open, high, low, close)\n\nConcealing Baby Swallow (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_26CDLCONCEALBABYSWALL_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLCONCEALBABYSWALL_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream __pyx_vtable_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLCOUNTERATTACK_Stream(open, high, low, close)\n\nCDLCOUNTERATTACK(open, high, low, close)\n\nCounterattack (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream_spec = { + "talib._ta_lib.CDLCOUNTERATTACK_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLCOUNTERATTACK_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLCOUNTERATTACK_Stream(open, high, low, close)\n\nCDLCOUNTERATTACK(open, high, low, close)\n\nCounterattack (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_23CDLCOUNTERATTACK_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLCOUNTERATTACK_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream __pyx_vtable_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLDARKCLOUDCOVER_Stream(open, high, low, close, double penetration=0.5)\n\nCDLDARKCLOUDCOVER(open, high, low, close[, penetration=?])\n\nDark Cloud Cover (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nParameters:\n penetration: 0.5\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream_spec = { + "talib._ta_lib.CDLDARKCLOUDCOVER_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLDARKCLOUDCOVER_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLDARKCLOUDCOVER_Stream(open, high, low, close, double penetration=0.5)\n\nCDLDARKCLOUDCOVER(open, high, low, close[, penetration=?])\n\nDark Cloud Cover (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nParameters:\n penetration: 0.5\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_24CDLDARKCLOUDCOVER_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLDARKCLOUDCOVER_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLDOJI_Stream __pyx_vtable_5talib_7_ta_lib_CDLDOJI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLDOJI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLDOJI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLDOJI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLDOJI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLDOJI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLDOJI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_14CDLDOJI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_14CDLDOJI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_14CDLDOJI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLDOJI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14CDLDOJI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14CDLDOJI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14CDLDOJI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14CDLDOJI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14CDLDOJI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14CDLDOJI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14CDLDOJI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14CDLDOJI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLDOJI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_14CDLDOJI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLDOJI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLDOJI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLDOJI_Stream(open, high, low, close)\n\nCDLDOJI(open, high, low, close)\n\nDoji (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLDOJI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLDOJI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_14CDLDOJI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLDOJI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLDOJI_Stream_spec = { + "talib._ta_lib.CDLDOJI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLDOJI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLDOJI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLDOJI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLDOJI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLDOJI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLDOJI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLDOJI_Stream(open, high, low, close)\n\nCDLDOJI(open, high, low, close)\n\nDoji (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLDOJI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLDOJI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_14CDLDOJI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLDOJI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLDOJISTAR_Stream __pyx_vtable_5talib_7_ta_lib_CDLDOJISTAR_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLDOJISTAR_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLDOJISTAR_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLDOJISTAR_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLDOJISTAR_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLDOJISTAR_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLDOJISTAR_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_18CDLDOJISTAR_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_18CDLDOJISTAR_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_18CDLDOJISTAR_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLDOJISTAR_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLDOJISTAR_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLDOJISTAR_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLDOJISTAR_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLDOJISTAR_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLDOJISTAR_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLDOJISTAR_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLDOJISTAR_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLDOJISTAR_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLDOJISTAR_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_18CDLDOJISTAR_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLDOJISTAR_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLDOJISTAR_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLDOJISTAR_Stream(open, high, low, close)\n\nCDLDOJISTAR(open, high, low, close)\n\nDoji Star (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLDOJISTAR_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLDOJISTAR_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_18CDLDOJISTAR_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLDOJISTAR_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLDOJISTAR_Stream_spec = { + "talib._ta_lib.CDLDOJISTAR_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLDOJISTAR_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLDOJISTAR_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLDOJISTAR_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLDOJISTAR_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLDOJISTAR_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLDOJISTAR_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLDOJISTAR_Stream(open, high, low, close)\n\nCDLDOJISTAR(open, high, low, close)\n\nDoji Star (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLDOJISTAR_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLDOJISTAR_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_18CDLDOJISTAR_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLDOJISTAR_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream __pyx_vtable_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLDRAGONFLYDOJI_Stream(open, high, low, close)\n\nCDLDRAGONFLYDOJI(open, high, low, close)\n\nDragonfly Doji (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream_spec = { + "talib._ta_lib.CDLDRAGONFLYDOJI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLDRAGONFLYDOJI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLDRAGONFLYDOJI_Stream(open, high, low, close)\n\nCDLDRAGONFLYDOJI(open, high, low, close)\n\nDragonfly Doji (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_23CDLDRAGONFLYDOJI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLDRAGONFLYDOJI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLENGULFING_Stream __pyx_vtable_5talib_7_ta_lib_CDLENGULFING_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLENGULFING_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLENGULFING_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLENGULFING_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLENGULFING_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLENGULFING_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLENGULFING_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_19CDLENGULFING_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_19CDLENGULFING_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_19CDLENGULFING_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLENGULFING_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19CDLENGULFING_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19CDLENGULFING_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19CDLENGULFING_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19CDLENGULFING_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19CDLENGULFING_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19CDLENGULFING_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19CDLENGULFING_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19CDLENGULFING_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLENGULFING_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_19CDLENGULFING_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLENGULFING_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLENGULFING_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLENGULFING_Stream(open, high, low, close)\n\nCDLENGULFING(open, high, low, close)\n\nEngulfing Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLENGULFING_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLENGULFING_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_19CDLENGULFING_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLENGULFING_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLENGULFING_Stream_spec = { + "talib._ta_lib.CDLENGULFING_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLENGULFING_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLENGULFING_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLENGULFING_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLENGULFING_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLENGULFING_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLENGULFING_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLENGULFING_Stream(open, high, low, close)\n\nCDLENGULFING(open, high, low, close)\n\nEngulfing Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLENGULFING_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLENGULFING_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_19CDLENGULFING_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLENGULFING_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream __pyx_vtable_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLEVENINGDOJISTAR_Stream(open, high, low, close, double penetration=0.3)\n\nCDLEVENINGDOJISTAR(open, high, low, close[, penetration=?])\n\nEvening Doji Star (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nParameters:\n penetration: 0.3\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream_spec = { + "talib._ta_lib.CDLEVENINGDOJISTAR_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLEVENINGDOJISTAR_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLEVENINGDOJISTAR_Stream(open, high, low, close, double penetration=0.3)\n\nCDLEVENINGDOJISTAR(open, high, low, close[, penetration=?])\n\nEvening Doji Star (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nParameters:\n penetration: 0.3\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_25CDLEVENINGDOJISTAR_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLEVENINGDOJISTAR_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLEVENINGSTAR_Stream __pyx_vtable_5talib_7_ta_lib_CDLEVENINGSTAR_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLEVENINGSTAR_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGSTAR_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGSTAR_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLEVENINGSTAR_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLEVENINGSTAR_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLEVENINGSTAR_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLEVENINGSTAR_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLEVENINGSTAR_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLEVENINGSTAR_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLEVENINGSTAR_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLEVENINGSTAR_Stream(open, high, low, close, double penetration=0.3)\n\nCDLEVENINGSTAR(open, high, low, close[, penetration=?])\n\nEvening Star (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nParameters:\n penetration: 0.3\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLEVENINGSTAR_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLEVENINGSTAR_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLEVENINGSTAR_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLEVENINGSTAR_Stream_spec = { + "talib._ta_lib.CDLEVENINGSTAR_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGSTAR_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLEVENINGSTAR_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLEVENINGSTAR_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLEVENINGSTAR_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLEVENINGSTAR_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLEVENINGSTAR_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLEVENINGSTAR_Stream(open, high, low, close, double penetration=0.3)\n\nCDLEVENINGSTAR(open, high, low, close[, penetration=?])\n\nEvening Star (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nParameters:\n penetration: 0.3\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLEVENINGSTAR_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLEVENINGSTAR_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_21CDLEVENINGSTAR_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLEVENINGSTAR_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream __pyx_vtable_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLGAPSIDESIDEWHITE_Stream(open, high, low, close)\n\nCDLGAPSIDESIDEWHITE(open, high, low, close)\n\nUp/Down-gap side-by-side white lines (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream_spec = { + "talib._ta_lib.CDLGAPSIDESIDEWHITE_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLGAPSIDESIDEWHITE_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLGAPSIDESIDEWHITE_Stream(open, high, low, close)\n\nCDLGAPSIDESIDEWHITE(open, high, low, close)\n\nUp/Down-gap side-by-side white lines (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_26CDLGAPSIDESIDEWHITE_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLGAPSIDESIDEWHITE_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream __pyx_vtable_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLGRAVESTONEDOJI_Stream(open, high, low, close)\n\nCDLGRAVESTONEDOJI(open, high, low, close)\n\nGravestone Doji (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream_spec = { + "talib._ta_lib.CDLGRAVESTONEDOJI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLGRAVESTONEDOJI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLGRAVESTONEDOJI_Stream(open, high, low, close)\n\nCDLGRAVESTONEDOJI(open, high, low, close)\n\nGravestone Doji (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_24CDLGRAVESTONEDOJI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLGRAVESTONEDOJI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLHAMMER_Stream __pyx_vtable_5talib_7_ta_lib_CDLHAMMER_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLHAMMER_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLHAMMER_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLHAMMER_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLHAMMER_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLHAMMER_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLHAMMER_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_16CDLHAMMER_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_16CDLHAMMER_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_16CDLHAMMER_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLHAMMER_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDLHAMMER_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDLHAMMER_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDLHAMMER_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDLHAMMER_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDLHAMMER_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDLHAMMER_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDLHAMMER_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDLHAMMER_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLHAMMER_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_16CDLHAMMER_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLHAMMER_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLHAMMER_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLHAMMER_Stream(open, high, low, close)\n\nCDLHAMMER(open, high, low, close)\n\nHammer (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLHAMMER_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLHAMMER_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_16CDLHAMMER_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLHAMMER_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLHAMMER_Stream_spec = { + "talib._ta_lib.CDLHAMMER_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLHAMMER_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLHAMMER_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLHAMMER_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLHAMMER_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLHAMMER_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLHAMMER_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLHAMMER_Stream(open, high, low, close)\n\nCDLHAMMER(open, high, low, close)\n\nHammer (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLHAMMER_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLHAMMER_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_16CDLHAMMER_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLHAMMER_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLHANGINGMAN_Stream __pyx_vtable_5talib_7_ta_lib_CDLHANGINGMAN_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLHANGINGMAN_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLHANGINGMAN_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLHANGINGMAN_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLHANGINGMAN_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLHANGINGMAN_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLHANGINGMAN_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_20CDLHANGINGMAN_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_20CDLHANGINGMAN_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_20CDLHANGINGMAN_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLHANGINGMAN_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_20CDLHANGINGMAN_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_20CDLHANGINGMAN_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_20CDLHANGINGMAN_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_20CDLHANGINGMAN_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_20CDLHANGINGMAN_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_20CDLHANGINGMAN_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_20CDLHANGINGMAN_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_20CDLHANGINGMAN_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLHANGINGMAN_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_20CDLHANGINGMAN_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLHANGINGMAN_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLHANGINGMAN_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLHANGINGMAN_Stream(open, high, low, close)\n\nCDLHANGINGMAN(open, high, low, close)\n\nHanging Man (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLHANGINGMAN_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLHANGINGMAN_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_20CDLHANGINGMAN_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLHANGINGMAN_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLHANGINGMAN_Stream_spec = { + "talib._ta_lib.CDLHANGINGMAN_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLHANGINGMAN_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLHANGINGMAN_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLHANGINGMAN_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLHANGINGMAN_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLHANGINGMAN_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLHANGINGMAN_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLHANGINGMAN_Stream(open, high, low, close)\n\nCDLHANGINGMAN(open, high, low, close)\n\nHanging Man (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLHANGINGMAN_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLHANGINGMAN_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_20CDLHANGINGMAN_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLHANGINGMAN_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLHARAMI_Stream __pyx_vtable_5talib_7_ta_lib_CDLHARAMI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLHARAMI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLHARAMI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLHARAMI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLHARAMI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLHARAMI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLHARAMI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_16CDLHARAMI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_16CDLHARAMI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_16CDLHARAMI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLHARAMI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDLHARAMI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDLHARAMI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDLHARAMI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDLHARAMI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDLHARAMI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDLHARAMI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDLHARAMI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDLHARAMI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLHARAMI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_16CDLHARAMI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLHARAMI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLHARAMI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLHARAMI_Stream(open, high, low, close)\n\nCDLHARAMI(open, high, low, close)\n\nHarami Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLHARAMI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLHARAMI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_16CDLHARAMI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLHARAMI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLHARAMI_Stream_spec = { + "talib._ta_lib.CDLHARAMI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLHARAMI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLHARAMI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLHARAMI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLHARAMI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLHARAMI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLHARAMI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLHARAMI_Stream(open, high, low, close)\n\nCDLHARAMI(open, high, low, close)\n\nHarami Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLHARAMI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLHARAMI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_16CDLHARAMI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLHARAMI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLHARAMICROSS_Stream __pyx_vtable_5talib_7_ta_lib_CDLHARAMICROSS_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLHARAMICROSS_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLHARAMICROSS_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLHARAMICROSS_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLHARAMICROSS_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLHARAMICROSS_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLHARAMICROSS_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_21CDLHARAMICROSS_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_21CDLHARAMICROSS_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_21CDLHARAMICROSS_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLHARAMICROSS_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLHARAMICROSS_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLHARAMICROSS_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLHARAMICROSS_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLHARAMICROSS_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLHARAMICROSS_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLHARAMICROSS_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLHARAMICROSS_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLHARAMICROSS_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLHARAMICROSS_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_21CDLHARAMICROSS_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLHARAMICROSS_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLHARAMICROSS_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLHARAMICROSS_Stream(open, high, low, close)\n\nCDLHARAMICROSS(open, high, low, close)\n\nHarami Cross Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLHARAMICROSS_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLHARAMICROSS_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_21CDLHARAMICROSS_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLHARAMICROSS_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLHARAMICROSS_Stream_spec = { + "talib._ta_lib.CDLHARAMICROSS_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLHARAMICROSS_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLHARAMICROSS_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLHARAMICROSS_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLHARAMICROSS_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLHARAMICROSS_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLHARAMICROSS_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLHARAMICROSS_Stream(open, high, low, close)\n\nCDLHARAMICROSS(open, high, low, close)\n\nHarami Cross Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLHARAMICROSS_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLHARAMICROSS_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_21CDLHARAMICROSS_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLHARAMICROSS_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLHIGHWAVE_Stream __pyx_vtable_5talib_7_ta_lib_CDLHIGHWAVE_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLHIGHWAVE_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLHIGHWAVE_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLHIGHWAVE_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLHIGHWAVE_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLHIGHWAVE_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLHIGHWAVE_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_18CDLHIGHWAVE_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_18CDLHIGHWAVE_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_18CDLHIGHWAVE_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLHIGHWAVE_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLHIGHWAVE_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLHIGHWAVE_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLHIGHWAVE_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLHIGHWAVE_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLHIGHWAVE_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLHIGHWAVE_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLHIGHWAVE_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLHIGHWAVE_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLHIGHWAVE_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_18CDLHIGHWAVE_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLHIGHWAVE_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLHIGHWAVE_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLHIGHWAVE_Stream(open, high, low, close)\n\nCDLHIGHWAVE(open, high, low, close)\n\nHigh-Wave Candle (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLHIGHWAVE_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLHIGHWAVE_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_18CDLHIGHWAVE_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLHIGHWAVE_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLHIGHWAVE_Stream_spec = { + "talib._ta_lib.CDLHIGHWAVE_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLHIGHWAVE_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLHIGHWAVE_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLHIGHWAVE_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLHIGHWAVE_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLHIGHWAVE_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLHIGHWAVE_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLHIGHWAVE_Stream(open, high, low, close)\n\nCDLHIGHWAVE(open, high, low, close)\n\nHigh-Wave Candle (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLHIGHWAVE_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLHIGHWAVE_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_18CDLHIGHWAVE_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLHIGHWAVE_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLHIKKAKE_Stream __pyx_vtable_5talib_7_ta_lib_CDLHIKKAKE_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLHIKKAKE_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKE_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKE_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLHIKKAKE_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLHIKKAKE_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLHIKKAKE_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_17CDLHIKKAKE_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_17CDLHIKKAKE_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_17CDLHIKKAKE_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLHIKKAKE_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17CDLHIKKAKE_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17CDLHIKKAKE_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17CDLHIKKAKE_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17CDLHIKKAKE_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17CDLHIKKAKE_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17CDLHIKKAKE_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17CDLHIKKAKE_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17CDLHIKKAKE_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLHIKKAKE_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_17CDLHIKKAKE_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLHIKKAKE_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLHIKKAKE_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLHIKKAKE_Stream(open, high, low, close)\n\nCDLHIKKAKE(open, high, low, close)\n\nHikkake Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLHIKKAKE_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLHIKKAKE_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_17CDLHIKKAKE_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLHIKKAKE_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLHIKKAKE_Stream_spec = { + "talib._ta_lib.CDLHIKKAKE_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKE_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLHIKKAKE_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLHIKKAKE_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLHIKKAKE_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKE_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLHIKKAKE_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLHIKKAKE_Stream(open, high, low, close)\n\nCDLHIKKAKE(open, high, low, close)\n\nHikkake Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLHIKKAKE_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLHIKKAKE_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_17CDLHIKKAKE_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLHIKKAKE_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream __pyx_vtable_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLHIKKAKEMOD_Stream(open, high, low, close)\n\nCDLHIKKAKEMOD(open, high, low, close)\n\nModified Hikkake Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream_spec = { + "talib._ta_lib.CDLHIKKAKEMOD_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLHIKKAKEMOD_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLHIKKAKEMOD_Stream(open, high, low, close)\n\nCDLHIKKAKEMOD(open, high, low, close)\n\nModified Hikkake Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_20CDLHIKKAKEMOD_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLHIKKAKEMOD_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream __pyx_vtable_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLHOMINGPIGEON_Stream(open, high, low, close)\n\nCDLHOMINGPIGEON(open, high, low, close)\n\nHoming Pigeon (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream_spec = { + "talib._ta_lib.CDLHOMINGPIGEON_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLHOMINGPIGEON_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLHOMINGPIGEON_Stream(open, high, low, close)\n\nCDLHOMINGPIGEON(open, high, low, close)\n\nHoming Pigeon (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_22CDLHOMINGPIGEON_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLHOMINGPIGEON_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream __pyx_vtable_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLIDENTICAL3CROWS_Stream(open, high, low, close)\n\nCDLIDENTICAL3CROWS(open, high, low, close)\n\nIdentical Three Crows (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream_spec = { + "talib._ta_lib.CDLIDENTICAL3CROWS_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLIDENTICAL3CROWS_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLIDENTICAL3CROWS_Stream(open, high, low, close)\n\nCDLIDENTICAL3CROWS(open, high, low, close)\n\nIdentical Three Crows (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_25CDLIDENTICAL3CROWS_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLIDENTICAL3CROWS_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLINNECK_Stream __pyx_vtable_5talib_7_ta_lib_CDLINNECK_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLINNECK_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLINNECK_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLINNECK_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLINNECK_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLINNECK_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLINNECK_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_16CDLINNECK_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_16CDLINNECK_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_16CDLINNECK_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLINNECK_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDLINNECK_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDLINNECK_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDLINNECK_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDLINNECK_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDLINNECK_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDLINNECK_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDLINNECK_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDLINNECK_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLINNECK_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_16CDLINNECK_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLINNECK_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLINNECK_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLINNECK_Stream(open, high, low, close)\n\nCDLINNECK(open, high, low, close)\n\nIn-Neck Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLINNECK_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLINNECK_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_16CDLINNECK_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLINNECK_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLINNECK_Stream_spec = { + "talib._ta_lib.CDLINNECK_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLINNECK_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLINNECK_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLINNECK_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLINNECK_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLINNECK_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLINNECK_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLINNECK_Stream(open, high, low, close)\n\nCDLINNECK(open, high, low, close)\n\nIn-Neck Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLINNECK_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLINNECK_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_16CDLINNECK_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLINNECK_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream __pyx_vtable_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLINVERTEDHAMMER_Stream(open, high, low, close)\n\nCDLINVERTEDHAMMER(open, high, low, close)\n\nInverted Hammer (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream_spec = { + "talib._ta_lib.CDLINVERTEDHAMMER_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLINVERTEDHAMMER_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLINVERTEDHAMMER_Stream(open, high, low, close)\n\nCDLINVERTEDHAMMER(open, high, low, close)\n\nInverted Hammer (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_24CDLINVERTEDHAMMER_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLINVERTEDHAMMER_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLKICKING_Stream __pyx_vtable_5talib_7_ta_lib_CDLKICKING_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLKICKING_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLKICKING_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLKICKING_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLKICKING_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLKICKING_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLKICKING_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_17CDLKICKING_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_17CDLKICKING_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_17CDLKICKING_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLKICKING_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17CDLKICKING_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17CDLKICKING_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17CDLKICKING_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17CDLKICKING_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17CDLKICKING_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17CDLKICKING_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17CDLKICKING_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17CDLKICKING_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLKICKING_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_17CDLKICKING_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLKICKING_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLKICKING_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLKICKING_Stream(open, high, low, close)\n\nCDLKICKING(open, high, low, close)\n\nKicking (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLKICKING_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLKICKING_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_17CDLKICKING_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLKICKING_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLKICKING_Stream_spec = { + "talib._ta_lib.CDLKICKING_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLKICKING_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLKICKING_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLKICKING_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLKICKING_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLKICKING_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLKICKING_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLKICKING_Stream(open, high, low, close)\n\nCDLKICKING(open, high, low, close)\n\nKicking (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLKICKING_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLKICKING_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_17CDLKICKING_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLKICKING_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream __pyx_vtable_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLKICKINGBYLENGTH_Stream(open, high, low, close)\n\nCDLKICKINGBYLENGTH(open, high, low, close)\n\nKicking - bull/bear determined by the longer marubozu (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream_spec = { + "talib._ta_lib.CDLKICKINGBYLENGTH_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLKICKINGBYLENGTH_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLKICKINGBYLENGTH_Stream(open, high, low, close)\n\nCDLKICKINGBYLENGTH(open, high, low, close)\n\nKicking - bull/bear determined by the longer marubozu (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_25CDLKICKINGBYLENGTH_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLKICKINGBYLENGTH_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream __pyx_vtable_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLLADDERBOTTOM_Stream(open, high, low, close)\n\nCDLLADDERBOTTOM(open, high, low, close)\n\nLadder Bottom (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream_spec = { + "talib._ta_lib.CDLLADDERBOTTOM_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLLADDERBOTTOM_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLLADDERBOTTOM_Stream(open, high, low, close)\n\nCDLLADDERBOTTOM(open, high, low, close)\n\nLadder Bottom (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_22CDLLADDERBOTTOM_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLLADDERBOTTOM_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream __pyx_vtable_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLLONGLEGGEDDOJI_Stream(open, high, low, close)\n\nCDLLONGLEGGEDDOJI(open, high, low, close)\n\nLong Legged Doji (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream_spec = { + "talib._ta_lib.CDLLONGLEGGEDDOJI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLLONGLEGGEDDOJI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLLONGLEGGEDDOJI_Stream(open, high, low, close)\n\nCDLLONGLEGGEDDOJI(open, high, low, close)\n\nLong Legged Doji (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_24CDLLONGLEGGEDDOJI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLLONGLEGGEDDOJI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLLONGLINE_Stream __pyx_vtable_5talib_7_ta_lib_CDLLONGLINE_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLLONGLINE_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLLONGLINE_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLLONGLINE_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLLONGLINE_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLLONGLINE_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLLONGLINE_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_18CDLLONGLINE_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_18CDLLONGLINE_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_18CDLLONGLINE_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLLONGLINE_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLLONGLINE_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLLONGLINE_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLLONGLINE_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLLONGLINE_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLLONGLINE_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLLONGLINE_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLLONGLINE_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLLONGLINE_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLLONGLINE_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_18CDLLONGLINE_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLLONGLINE_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLLONGLINE_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLLONGLINE_Stream(open, high, low, close)\n\nCDLLONGLINE(open, high, low, close)\n\nLong Line Candle (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLLONGLINE_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLLONGLINE_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_18CDLLONGLINE_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLLONGLINE_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLLONGLINE_Stream_spec = { + "talib._ta_lib.CDLLONGLINE_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLLONGLINE_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLLONGLINE_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLLONGLINE_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLLONGLINE_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLLONGLINE_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLLONGLINE_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLLONGLINE_Stream(open, high, low, close)\n\nCDLLONGLINE(open, high, low, close)\n\nLong Line Candle (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLLONGLINE_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLLONGLINE_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_18CDLLONGLINE_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLLONGLINE_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLMARUBOZU_Stream __pyx_vtable_5talib_7_ta_lib_CDLMARUBOZU_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLMARUBOZU_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLMARUBOZU_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLMARUBOZU_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLMARUBOZU_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLMARUBOZU_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLMARUBOZU_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_18CDLMARUBOZU_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_18CDLMARUBOZU_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_18CDLMARUBOZU_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLMARUBOZU_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLMARUBOZU_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLMARUBOZU_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLMARUBOZU_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLMARUBOZU_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLMARUBOZU_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLMARUBOZU_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLMARUBOZU_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLMARUBOZU_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLMARUBOZU_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_18CDLMARUBOZU_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLMARUBOZU_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLMARUBOZU_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLMARUBOZU_Stream(open, high, low, close)\n\nCDLMARUBOZU(open, high, low, close)\n\nMarubozu (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLMARUBOZU_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLMARUBOZU_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_18CDLMARUBOZU_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLMARUBOZU_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLMARUBOZU_Stream_spec = { + "talib._ta_lib.CDLMARUBOZU_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLMARUBOZU_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLMARUBOZU_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLMARUBOZU_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLMARUBOZU_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLMARUBOZU_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLMARUBOZU_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLMARUBOZU_Stream(open, high, low, close)\n\nCDLMARUBOZU(open, high, low, close)\n\nMarubozu (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLMARUBOZU_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLMARUBOZU_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_18CDLMARUBOZU_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLMARUBOZU_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLMATCHINGLOW_Stream __pyx_vtable_5talib_7_ta_lib_CDLMATCHINGLOW_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLMATCHINGLOW_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLMATCHINGLOW_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLMATCHINGLOW_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLMATCHINGLOW_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLMATCHINGLOW_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLMATCHINGLOW_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLMATCHINGLOW_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLMATCHINGLOW_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLMATCHINGLOW_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLMATCHINGLOW_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLMATCHINGLOW_Stream(open, high, low, close)\n\nCDLMATCHINGLOW(open, high, low, close)\n\nMatching Low (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLMATCHINGLOW_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLMATCHINGLOW_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLMATCHINGLOW_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLMATCHINGLOW_Stream_spec = { + "talib._ta_lib.CDLMATCHINGLOW_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLMATCHINGLOW_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLMATCHINGLOW_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLMATCHINGLOW_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLMATCHINGLOW_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLMATCHINGLOW_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLMATCHINGLOW_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLMATCHINGLOW_Stream(open, high, low, close)\n\nCDLMATCHINGLOW(open, high, low, close)\n\nMatching Low (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLMATCHINGLOW_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLMATCHINGLOW_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_21CDLMATCHINGLOW_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLMATCHINGLOW_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLMATHOLD_Stream __pyx_vtable_5talib_7_ta_lib_CDLMATHOLD_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLMATHOLD_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLMATHOLD_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLMATHOLD_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLMATHOLD_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLMATHOLD_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLMATHOLD_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_17CDLMATHOLD_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_17CDLMATHOLD_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_17CDLMATHOLD_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLMATHOLD_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17CDLMATHOLD_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17CDLMATHOLD_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17CDLMATHOLD_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17CDLMATHOLD_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17CDLMATHOLD_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17CDLMATHOLD_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17CDLMATHOLD_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17CDLMATHOLD_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLMATHOLD_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_17CDLMATHOLD_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLMATHOLD_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLMATHOLD_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLMATHOLD_Stream(open, high, low, close, double penetration=0.5)\n\nCDLMATHOLD(open, high, low, close[, penetration=?])\n\nMat Hold (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nParameters:\n penetration: 0.5\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLMATHOLD_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLMATHOLD_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_17CDLMATHOLD_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLMATHOLD_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLMATHOLD_Stream_spec = { + "talib._ta_lib.CDLMATHOLD_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLMATHOLD_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLMATHOLD_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLMATHOLD_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLMATHOLD_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLMATHOLD_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLMATHOLD_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLMATHOLD_Stream(open, high, low, close, double penetration=0.5)\n\nCDLMATHOLD(open, high, low, close[, penetration=?])\n\nMat Hold (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nParameters:\n penetration: 0.5\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLMATHOLD_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLMATHOLD_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_17CDLMATHOLD_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLMATHOLD_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream __pyx_vtable_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLMORNINGDOJISTAR_Stream(open, high, low, close, double penetration=0.3)\n\nCDLMORNINGDOJISTAR(open, high, low, close[, penetration=?])\n\nMorning Doji Star (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nParameters:\n penetration: 0.3\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream_spec = { + "talib._ta_lib.CDLMORNINGDOJISTAR_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLMORNINGDOJISTAR_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLMORNINGDOJISTAR_Stream(open, high, low, close, double penetration=0.3)\n\nCDLMORNINGDOJISTAR(open, high, low, close[, penetration=?])\n\nMorning Doji Star (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nParameters:\n penetration: 0.3\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_25CDLMORNINGDOJISTAR_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLMORNINGDOJISTAR_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLMORNINGSTAR_Stream __pyx_vtable_5talib_7_ta_lib_CDLMORNINGSTAR_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLMORNINGSTAR_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGSTAR_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGSTAR_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLMORNINGSTAR_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLMORNINGSTAR_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLMORNINGSTAR_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLMORNINGSTAR_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLMORNINGSTAR_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLMORNINGSTAR_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLMORNINGSTAR_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLMORNINGSTAR_Stream(open, high, low, close, double penetration=0.3)\n\nCDLMORNINGSTAR(open, high, low, close[, penetration=?])\n\nMorning Star (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nParameters:\n penetration: 0.3\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLMORNINGSTAR_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLMORNINGSTAR_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLMORNINGSTAR_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLMORNINGSTAR_Stream_spec = { + "talib._ta_lib.CDLMORNINGSTAR_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGSTAR_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLMORNINGSTAR_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLMORNINGSTAR_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLMORNINGSTAR_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLMORNINGSTAR_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLMORNINGSTAR_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLMORNINGSTAR_Stream(open, high, low, close, double penetration=0.3)\n\nCDLMORNINGSTAR(open, high, low, close[, penetration=?])\n\nMorning Star (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nParameters:\n penetration: 0.3\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLMORNINGSTAR_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLMORNINGSTAR_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_21CDLMORNINGSTAR_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLMORNINGSTAR_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLONNECK_Stream __pyx_vtable_5talib_7_ta_lib_CDLONNECK_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLONNECK_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLONNECK_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLONNECK_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLONNECK_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLONNECK_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLONNECK_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_16CDLONNECK_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_16CDLONNECK_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_16CDLONNECK_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLONNECK_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDLONNECK_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDLONNECK_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDLONNECK_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDLONNECK_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDLONNECK_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDLONNECK_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDLONNECK_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDLONNECK_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLONNECK_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_16CDLONNECK_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLONNECK_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLONNECK_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLONNECK_Stream(open, high, low, close)\n\nCDLONNECK(open, high, low, close)\n\nOn-Neck Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLONNECK_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLONNECK_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_16CDLONNECK_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLONNECK_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLONNECK_Stream_spec = { + "talib._ta_lib.CDLONNECK_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLONNECK_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLONNECK_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLONNECK_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLONNECK_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLONNECK_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLONNECK_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLONNECK_Stream(open, high, low, close)\n\nCDLONNECK(open, high, low, close)\n\nOn-Neck Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLONNECK_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLONNECK_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_16CDLONNECK_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLONNECK_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLPIERCING_Stream __pyx_vtable_5talib_7_ta_lib_CDLPIERCING_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLPIERCING_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLPIERCING_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLPIERCING_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLPIERCING_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLPIERCING_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLPIERCING_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_18CDLPIERCING_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_18CDLPIERCING_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_18CDLPIERCING_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLPIERCING_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLPIERCING_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLPIERCING_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLPIERCING_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLPIERCING_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLPIERCING_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLPIERCING_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18CDLPIERCING_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18CDLPIERCING_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLPIERCING_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_18CDLPIERCING_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLPIERCING_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLPIERCING_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLPIERCING_Stream(open, high, low, close)\n\nCDLPIERCING(open, high, low, close)\n\nPiercing Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLPIERCING_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLPIERCING_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_18CDLPIERCING_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLPIERCING_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLPIERCING_Stream_spec = { + "talib._ta_lib.CDLPIERCING_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLPIERCING_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLPIERCING_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLPIERCING_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLPIERCING_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLPIERCING_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLPIERCING_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLPIERCING_Stream(open, high, low, close)\n\nCDLPIERCING(open, high, low, close)\n\nPiercing Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLPIERCING_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLPIERCING_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_18CDLPIERCING_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLPIERCING_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream __pyx_vtable_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLRICKSHAWMAN_Stream(open, high, low, close)\n\nCDLRICKSHAWMAN(open, high, low, close)\n\nRickshaw Man (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream_spec = { + "talib._ta_lib.CDLRICKSHAWMAN_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLRICKSHAWMAN_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLRICKSHAWMAN_Stream(open, high, low, close)\n\nCDLRICKSHAWMAN(open, high, low, close)\n\nRickshaw Man (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_21CDLRICKSHAWMAN_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLRICKSHAWMAN_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream __pyx_vtable_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLRISEFALL3METHODS_Stream(open, high, low, close)\n\nCDLRISEFALL3METHODS(open, high, low, close)\n\nRising/Falling Three Methods (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream_spec = { + "talib._ta_lib.CDLRISEFALL3METHODS_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLRISEFALL3METHODS_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLRISEFALL3METHODS_Stream(open, high, low, close)\n\nCDLRISEFALL3METHODS(open, high, low, close)\n\nRising/Falling Three Methods (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_26CDLRISEFALL3METHODS_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLRISEFALL3METHODS_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream __pyx_vtable_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLSEPARATINGLINES_Stream(open, high, low, close)\n\nCDLSEPARATINGLINES(open, high, low, close)\n\nSeparating Lines (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream_spec = { + "talib._ta_lib.CDLSEPARATINGLINES_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLSEPARATINGLINES_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLSEPARATINGLINES_Stream(open, high, low, close)\n\nCDLSEPARATINGLINES(open, high, low, close)\n\nSeparating Lines (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_25CDLSEPARATINGLINES_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLSEPARATINGLINES_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream __pyx_vtable_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLSHOOTINGSTAR_Stream(open, high, low, close)\n\nCDLSHOOTINGSTAR(open, high, low, close)\n\nShooting Star (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream_spec = { + "talib._ta_lib.CDLSHOOTINGSTAR_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLSHOOTINGSTAR_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLSHOOTINGSTAR_Stream(open, high, low, close)\n\nCDLSHOOTINGSTAR(open, high, low, close)\n\nShooting Star (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_22CDLSHOOTINGSTAR_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLSHOOTINGSTAR_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLSHORTLINE_Stream __pyx_vtable_5talib_7_ta_lib_CDLSHORTLINE_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLSHORTLINE_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLSHORTLINE_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLSHORTLINE_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLSHORTLINE_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLSHORTLINE_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLSHORTLINE_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_19CDLSHORTLINE_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_19CDLSHORTLINE_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_19CDLSHORTLINE_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLSHORTLINE_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19CDLSHORTLINE_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19CDLSHORTLINE_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19CDLSHORTLINE_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19CDLSHORTLINE_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19CDLSHORTLINE_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19CDLSHORTLINE_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19CDLSHORTLINE_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19CDLSHORTLINE_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLSHORTLINE_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_19CDLSHORTLINE_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLSHORTLINE_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLSHORTLINE_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLSHORTLINE_Stream(open, high, low, close)\n\nCDLSHORTLINE(open, high, low, close)\n\nShort Line Candle (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLSHORTLINE_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLSHORTLINE_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_19CDLSHORTLINE_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLSHORTLINE_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLSHORTLINE_Stream_spec = { + "talib._ta_lib.CDLSHORTLINE_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLSHORTLINE_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLSHORTLINE_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLSHORTLINE_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLSHORTLINE_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLSHORTLINE_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLSHORTLINE_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLSHORTLINE_Stream(open, high, low, close)\n\nCDLSHORTLINE(open, high, low, close)\n\nShort Line Candle (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLSHORTLINE_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLSHORTLINE_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_19CDLSHORTLINE_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLSHORTLINE_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLSPINNINGTOP_Stream __pyx_vtable_5talib_7_ta_lib_CDLSPINNINGTOP_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLSPINNINGTOP_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLSPINNINGTOP_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLSPINNINGTOP_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLSPINNINGTOP_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLSPINNINGTOP_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLSPINNINGTOP_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLSPINNINGTOP_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLSPINNINGTOP_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLSPINNINGTOP_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLSPINNINGTOP_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLSPINNINGTOP_Stream(open, high, low, close)\n\nCDLSPINNINGTOP(open, high, low, close)\n\nSpinning Top (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLSPINNINGTOP_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLSPINNINGTOP_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLSPINNINGTOP_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLSPINNINGTOP_Stream_spec = { + "talib._ta_lib.CDLSPINNINGTOP_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLSPINNINGTOP_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLSPINNINGTOP_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLSPINNINGTOP_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLSPINNINGTOP_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLSPINNINGTOP_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLSPINNINGTOP_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLSPINNINGTOP_Stream(open, high, low, close)\n\nCDLSPINNINGTOP(open, high, low, close)\n\nSpinning Top (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLSPINNINGTOP_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLSPINNINGTOP_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_21CDLSPINNINGTOP_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLSPINNINGTOP_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream __pyx_vtable_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLSTALLEDPATTERN_Stream(open, high, low, close)\n\nCDLSTALLEDPATTERN(open, high, low, close)\n\nStalled Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream_spec = { + "talib._ta_lib.CDLSTALLEDPATTERN_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLSTALLEDPATTERN_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLSTALLEDPATTERN_Stream(open, high, low, close)\n\nCDLSTALLEDPATTERN(open, high, low, close)\n\nStalled Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_24CDLSTALLEDPATTERN_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLSTALLEDPATTERN_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream __pyx_vtable_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLSTICKSANDWICH_Stream(open, high, low, close)\n\nCDLSTICKSANDWICH(open, high, low, close)\n\nStick Sandwich (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream_spec = { + "talib._ta_lib.CDLSTICKSANDWICH_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLSTICKSANDWICH_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLSTICKSANDWICH_Stream(open, high, low, close)\n\nCDLSTICKSANDWICH(open, high, low, close)\n\nStick Sandwich (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_23CDLSTICKSANDWICH_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLSTICKSANDWICH_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLTAKURI_Stream __pyx_vtable_5talib_7_ta_lib_CDLTAKURI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLTAKURI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLTAKURI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLTAKURI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLTAKURI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLTAKURI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLTAKURI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_16CDLTAKURI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_16CDLTAKURI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_16CDLTAKURI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLTAKURI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDLTAKURI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDLTAKURI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDLTAKURI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDLTAKURI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDLTAKURI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDLTAKURI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16CDLTAKURI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16CDLTAKURI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLTAKURI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_16CDLTAKURI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLTAKURI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLTAKURI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLTAKURI_Stream(open, high, low, close)\n\nCDLTAKURI(open, high, low, close)\n\nTakuri (Dragonfly Doji with very long lower shadow) (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLTAKURI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLTAKURI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_16CDLTAKURI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLTAKURI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLTAKURI_Stream_spec = { + "talib._ta_lib.CDLTAKURI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLTAKURI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLTAKURI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLTAKURI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLTAKURI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLTAKURI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLTAKURI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLTAKURI_Stream(open, high, low, close)\n\nCDLTAKURI(open, high, low, close)\n\nTakuri (Dragonfly Doji with very long lower shadow) (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLTAKURI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLTAKURI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_16CDLTAKURI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLTAKURI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLTASUKIGAP_Stream __pyx_vtable_5talib_7_ta_lib_CDLTASUKIGAP_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLTASUKIGAP_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLTASUKIGAP_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLTASUKIGAP_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLTASUKIGAP_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLTASUKIGAP_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLTASUKIGAP_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_19CDLTASUKIGAP_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_19CDLTASUKIGAP_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_19CDLTASUKIGAP_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLTASUKIGAP_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19CDLTASUKIGAP_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19CDLTASUKIGAP_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19CDLTASUKIGAP_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19CDLTASUKIGAP_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19CDLTASUKIGAP_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19CDLTASUKIGAP_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19CDLTASUKIGAP_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19CDLTASUKIGAP_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLTASUKIGAP_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_19CDLTASUKIGAP_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLTASUKIGAP_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLTASUKIGAP_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLTASUKIGAP_Stream(open, high, low, close)\n\nCDLTASUKIGAP(open, high, low, close)\n\nTasuki Gap (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLTASUKIGAP_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLTASUKIGAP_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_19CDLTASUKIGAP_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLTASUKIGAP_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLTASUKIGAP_Stream_spec = { + "talib._ta_lib.CDLTASUKIGAP_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLTASUKIGAP_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLTASUKIGAP_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLTASUKIGAP_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLTASUKIGAP_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLTASUKIGAP_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLTASUKIGAP_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLTASUKIGAP_Stream(open, high, low, close)\n\nCDLTASUKIGAP(open, high, low, close)\n\nTasuki Gap (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLTASUKIGAP_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLTASUKIGAP_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_19CDLTASUKIGAP_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLTASUKIGAP_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLTHRUSTING_Stream __pyx_vtable_5talib_7_ta_lib_CDLTHRUSTING_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLTHRUSTING_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLTHRUSTING_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLTHRUSTING_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLTHRUSTING_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLTHRUSTING_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLTHRUSTING_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_19CDLTHRUSTING_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_19CDLTHRUSTING_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_19CDLTHRUSTING_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLTHRUSTING_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19CDLTHRUSTING_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19CDLTHRUSTING_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19CDLTHRUSTING_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19CDLTHRUSTING_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19CDLTHRUSTING_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19CDLTHRUSTING_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19CDLTHRUSTING_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19CDLTHRUSTING_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLTHRUSTING_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_19CDLTHRUSTING_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLTHRUSTING_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLTHRUSTING_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLTHRUSTING_Stream(open, high, low, close)\n\nCDLTHRUSTING(open, high, low, close)\n\nThrusting Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLTHRUSTING_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLTHRUSTING_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_19CDLTHRUSTING_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLTHRUSTING_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLTHRUSTING_Stream_spec = { + "talib._ta_lib.CDLTHRUSTING_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLTHRUSTING_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLTHRUSTING_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLTHRUSTING_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLTHRUSTING_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLTHRUSTING_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLTHRUSTING_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLTHRUSTING_Stream(open, high, low, close)\n\nCDLTHRUSTING(open, high, low, close)\n\nThrusting Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLTHRUSTING_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLTHRUSTING_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_19CDLTHRUSTING_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLTHRUSTING_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLTRISTAR_Stream __pyx_vtable_5talib_7_ta_lib_CDLTRISTAR_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLTRISTAR_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLTRISTAR_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLTRISTAR_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLTRISTAR_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLTRISTAR_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLTRISTAR_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_17CDLTRISTAR_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_17CDLTRISTAR_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_17CDLTRISTAR_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLTRISTAR_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17CDLTRISTAR_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17CDLTRISTAR_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17CDLTRISTAR_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17CDLTRISTAR_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17CDLTRISTAR_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17CDLTRISTAR_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17CDLTRISTAR_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17CDLTRISTAR_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLTRISTAR_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_17CDLTRISTAR_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLTRISTAR_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLTRISTAR_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLTRISTAR_Stream(open, high, low, close)\n\nCDLTRISTAR(open, high, low, close)\n\nTristar Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLTRISTAR_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLTRISTAR_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_17CDLTRISTAR_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLTRISTAR_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLTRISTAR_Stream_spec = { + "talib._ta_lib.CDLTRISTAR_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLTRISTAR_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLTRISTAR_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLTRISTAR_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLTRISTAR_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLTRISTAR_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLTRISTAR_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLTRISTAR_Stream(open, high, low, close)\n\nCDLTRISTAR(open, high, low, close)\n\nTristar Pattern (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLTRISTAR_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLTRISTAR_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_17CDLTRISTAR_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLTRISTAR_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream __pyx_vtable_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLUNIQUE3RIVER_Stream(open, high, low, close)\n\nCDLUNIQUE3RIVER(open, high, low, close)\n\nUnique 3 River (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream_spec = { + "talib._ta_lib.CDLUNIQUE3RIVER_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLUNIQUE3RIVER_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLUNIQUE3RIVER_Stream(open, high, low, close)\n\nCDLUNIQUE3RIVER(open, high, low, close)\n\nUnique 3 River (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_22CDLUNIQUE3RIVER_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLUNIQUE3RIVER_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream __pyx_vtable_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLUPSIDEGAP2CROWS_Stream(open, high, low, close)\n\nCDLUPSIDEGAP2CROWS(open, high, low, close)\n\nUpside Gap Two Crows (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream_spec = { + "talib._ta_lib.CDLUPSIDEGAP2CROWS_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLUPSIDEGAP2CROWS_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLUPSIDEGAP2CROWS_Stream(open, high, low, close)\n\nCDLUPSIDEGAP2CROWS(open, high, low, close)\n\nUpside Gap Two Crows (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_25CDLUPSIDEGAP2CROWS_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLUPSIDEGAP2CROWS_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream __pyx_vtable_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CDLXSIDEGAP3METHODS_Stream(open, high, low, close)\n\nCDLXSIDEGAP3METHODS(open, high, low, close)\n\nUpside/Downside Gap Three Methods (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream_spec = { + "talib._ta_lib.CDLXSIDEGAP3METHODS_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CDLXSIDEGAP3METHODS_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CDLXSIDEGAP3METHODS_Stream(open, high, low, close)\n\nCDLXSIDEGAP3METHODS(open, high, low, close)\n\nUpside/Downside Gap Three Methods (Pattern Recognition)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n integer (values are -100, 0 or 100)"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_26CDLXSIDEGAP3METHODS_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CDLXSIDEGAP3METHODS_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CEIL_Stream __pyx_vtable_5talib_7_ta_lib_CEIL_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CEIL_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CEIL_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CEIL_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CEIL_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CEIL_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CEIL_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11CEIL_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11CEIL_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11CEIL_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CEIL_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11CEIL_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11CEIL_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11CEIL_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11CEIL_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11CEIL_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11CEIL_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11CEIL_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11CEIL_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CEIL_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11CEIL_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CEIL_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CEIL_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CEIL_Stream(real)\n\nCEIL(real)\n\nVector Ceil (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CEIL_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CEIL_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11CEIL_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CEIL_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CEIL_Stream_spec = { + "talib._ta_lib.CEIL_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CEIL_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CEIL_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CEIL_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CEIL_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CEIL_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CEIL_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CEIL_Stream(real)\n\nCEIL(real)\n\nVector Ceil (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CEIL_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CEIL_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11CEIL_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CEIL_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CMF_Stream __pyx_vtable_5talib_7_ta_lib_CMF_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CMF_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CMF_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CMF_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CMF_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CMF_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CMF_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10CMF_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10CMF_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10CMF_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CMF_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10CMF_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10CMF_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10CMF_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10CMF_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10CMF_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10CMF_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10CMF_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10CMF_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CMF_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10CMF_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CMF_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CMF_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CMF_Stream(high, low, close, volume, int timeperiod=-0x80000000)\n\nCMF(high, low, close, volume[, timeperiod=?])\n\nChaikin Money Flow (Volume Indicators)\n\nInputs:\n prices: ['high', 'low', 'close', 'volume']\nParameters:\n timeperiod: 20\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CMF_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CMF_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10CMF_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CMF_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CMF_Stream_spec = { + "talib._ta_lib.CMF_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CMF_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CMF_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CMF_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CMF_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CMF_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CMF_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CMF_Stream(high, low, close, volume, int timeperiod=-0x80000000)\n\nCMF(high, low, close, volume[, timeperiod=?])\n\nChaikin Money Flow (Volume Indicators)\n\nInputs:\n prices: ['high', 'low', 'close', 'volume']\nParameters:\n timeperiod: 20\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CMF_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CMF_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10CMF_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CMF_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CMO_Stream __pyx_vtable_5talib_7_ta_lib_CMO_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CMO_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CMO_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CMO_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CMO_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CMO_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CMO_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10CMO_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10CMO_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10CMO_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CMO_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10CMO_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10CMO_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10CMO_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10CMO_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10CMO_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10CMO_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10CMO_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10CMO_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CMO_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10CMO_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CMO_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CMO_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CMO_Stream(real, int timeperiod=-0x80000000)\n\nCMO(real[, timeperiod=?])\n\nChande Momentum Oscillator (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CMO_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CMO_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10CMO_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CMO_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CMO_Stream_spec = { + "talib._ta_lib.CMO_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CMO_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CMO_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CMO_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CMO_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CMO_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CMO_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CMO_Stream(real, int timeperiod=-0x80000000)\n\nCMO(real[, timeperiod=?])\n\nChande Momentum Oscillator (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CMO_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CMO_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10CMO_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CMO_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CMOU_Stream __pyx_vtable_5talib_7_ta_lib_CMOU_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CMOU_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CMOU_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CMOU_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CMOU_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CMOU_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CMOU_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11CMOU_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11CMOU_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11CMOU_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CMOU_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11CMOU_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11CMOU_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11CMOU_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11CMOU_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11CMOU_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11CMOU_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11CMOU_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11CMOU_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CMOU_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11CMOU_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CMOU_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CMOU_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CMOU_Stream(real, int timeperiod=-0x80000000)\n\nCMOU(real[, timeperiod=?])\n\nChande Momentum Oscillator (Unsmoothed) (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CMOU_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CMOU_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11CMOU_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CMOU_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CMOU_Stream_spec = { + "talib._ta_lib.CMOU_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CMOU_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CMOU_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CMOU_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CMOU_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CMOU_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CMOU_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CMOU_Stream(real, int timeperiod=-0x80000000)\n\nCMOU(real[, timeperiod=?])\n\nChande Momentum Oscillator (Unsmoothed) (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CMOU_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CMOU_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11CMOU_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CMOU_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_COPPOCK_Stream __pyx_vtable_5talib_7_ta_lib_COPPOCK_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_COPPOCK_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_COPPOCK_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_COPPOCK_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_COPPOCK_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_COPPOCK_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_COPPOCK_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_14COPPOCK_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_14COPPOCK_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_14COPPOCK_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_COPPOCK_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14COPPOCK_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14COPPOCK_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14COPPOCK_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14COPPOCK_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14COPPOCK_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14COPPOCK_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14COPPOCK_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14COPPOCK_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_COPPOCK_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_14COPPOCK_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_COPPOCK_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_COPPOCK_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("COPPOCK_Stream(real, int wmaperiod=-0x80000000, int roc1period=-0x80000000, int roc2period=-0x80000000)\n\nCOPPOCK(real[, wmaperiod=?, roc1period=?, roc2period=?])\n\nCoppock Curve (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n wmaperiod: 10\n roc1period: 11\n roc2period: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_COPPOCK_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_COPPOCK_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_14COPPOCK_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_COPPOCK_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_COPPOCK_Stream_spec = { + "talib._ta_lib.COPPOCK_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_COPPOCK_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_COPPOCK_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_COPPOCK_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""COPPOCK_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_COPPOCK_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_COPPOCK_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("COPPOCK_Stream(real, int wmaperiod=-0x80000000, int roc1period=-0x80000000, int roc2period=-0x80000000)\n\nCOPPOCK(real[, wmaperiod=?, roc1period=?, roc2period=?])\n\nCoppock Curve (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n wmaperiod: 10\n roc1period: 11\n roc2period: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_COPPOCK_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_COPPOCK_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_14COPPOCK_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_COPPOCK_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CORREL_Stream __pyx_vtable_5talib_7_ta_lib_CORREL_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CORREL_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CORREL_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CORREL_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CORREL_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CORREL_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CORREL_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_13CORREL_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_13CORREL_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_13CORREL_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CORREL_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13CORREL_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13CORREL_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13CORREL_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13CORREL_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13CORREL_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13CORREL_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13CORREL_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13CORREL_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CORREL_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_13CORREL_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CORREL_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CORREL_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CORREL_Stream(real0, real1, int timeperiod=-0x80000000)\n\nCORREL(real0, real1[, timeperiod=?])\n\nPearson's Correlation Coefficient (r) (Statistic Functions)\n\nInputs:\n real0: (any ndarray)\n real1: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CORREL_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CORREL_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_13CORREL_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CORREL_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CORREL_Stream_spec = { + "talib._ta_lib.CORREL_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CORREL_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CORREL_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CORREL_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CORREL_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CORREL_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CORREL_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CORREL_Stream(real0, real1, int timeperiod=-0x80000000)\n\nCORREL(real0, real1[, timeperiod=?])\n\nPearson's Correlation Coefficient (r) (Statistic Functions)\n\nInputs:\n real0: (any ndarray)\n real1: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CORREL_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CORREL_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_13CORREL_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CORREL_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_COS_Stream __pyx_vtable_5talib_7_ta_lib_COS_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_COS_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_COS_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_COS_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_COS_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_COS_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_COS_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10COS_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10COS_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10COS_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_COS_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10COS_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10COS_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10COS_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10COS_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10COS_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10COS_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10COS_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10COS_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_COS_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10COS_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_COS_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_COS_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("COS_Stream(real)\n\nCOS(real)\n\nVector Trigonometric Cos (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_COS_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_COS_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10COS_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_COS_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_COS_Stream_spec = { + "talib._ta_lib.COS_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_COS_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_COS_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_COS_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""COS_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_COS_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_COS_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("COS_Stream(real)\n\nCOS(real)\n\nVector Trigonometric Cos (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_COS_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_COS_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10COS_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_COS_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_COSH_Stream __pyx_vtable_5talib_7_ta_lib_COSH_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_COSH_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_COSH_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_COSH_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_COSH_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_COSH_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_COSH_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11COSH_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11COSH_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11COSH_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_COSH_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11COSH_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11COSH_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11COSH_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11COSH_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11COSH_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11COSH_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11COSH_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11COSH_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_COSH_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11COSH_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_COSH_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_COSH_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("COSH_Stream(real)\n\nCOSH(real)\n\nVector Trigonometric Cosh (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_COSH_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_COSH_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11COSH_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_COSH_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_COSH_Stream_spec = { + "talib._ta_lib.COSH_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_COSH_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_COSH_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_COSH_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""COSH_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_COSH_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_COSH_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("COSH_Stream(real)\n\nCOSH(real)\n\nVector Trigonometric Cosh (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_COSH_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_COSH_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11COSH_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_COSH_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CUMSUM_Stream __pyx_vtable_5talib_7_ta_lib_CUMSUM_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CUMSUM_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CUMSUM_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CUMSUM_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CUMSUM_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CUMSUM_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CUMSUM_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_13CUMSUM_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_13CUMSUM_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_13CUMSUM_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CUMSUM_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13CUMSUM_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13CUMSUM_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13CUMSUM_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13CUMSUM_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13CUMSUM_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13CUMSUM_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13CUMSUM_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13CUMSUM_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CUMSUM_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_13CUMSUM_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CUMSUM_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CUMSUM_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CUMSUM_Stream(real)\n\nCUMSUM(real)\n\nCumulative Sum (Math Operators)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CUMSUM_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CUMSUM_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_13CUMSUM_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CUMSUM_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CUMSUM_Stream_spec = { + "talib._ta_lib.CUMSUM_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CUMSUM_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CUMSUM_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CUMSUM_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CUMSUM_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CUMSUM_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CUMSUM_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CUMSUM_Stream(real)\n\nCUMSUM(real)\n\nCumulative Sum (Math Operators)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CUMSUM_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CUMSUM_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_13CUMSUM_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CUMSUM_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_CVI_Stream __pyx_vtable_5talib_7_ta_lib_CVI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_CVI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_CVI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_CVI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_CVI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_CVI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_CVI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10CVI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10CVI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10CVI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_CVI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10CVI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10CVI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10CVI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10CVI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10CVI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10CVI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10CVI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10CVI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_CVI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10CVI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_CVI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_CVI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("CVI_Stream(high, low, int timeperiod=-0x80000000, int rocperiod=-0x80000000)\n\nCVI(high, low[, timeperiod=?, rocperiod=?])\n\nChaikin's Volatility (Volatility Indicators)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n timeperiod: 10\n rocperiod: 10\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_CVI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_CVI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10CVI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_CVI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_CVI_Stream_spec = { + "talib._ta_lib.CVI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_CVI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_CVI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_CVI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""CVI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_CVI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_CVI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("CVI_Stream(high, low, int timeperiod=-0x80000000, int rocperiod=-0x80000000)\n\nCVI(high, low[, timeperiod=?, rocperiod=?])\n\nChaikin's Volatility (Volatility Indicators)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n timeperiod: 10\n rocperiod: 10\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_CVI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_CVI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10CVI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_CVI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_DEMA_Stream __pyx_vtable_5talib_7_ta_lib_DEMA_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_DEMA_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_DEMA_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_DEMA_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_DEMA_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_DEMA_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_DEMA_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11DEMA_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11DEMA_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11DEMA_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_DEMA_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11DEMA_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11DEMA_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11DEMA_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11DEMA_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11DEMA_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11DEMA_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11DEMA_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11DEMA_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_DEMA_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11DEMA_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_DEMA_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_DEMA_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("DEMA_Stream(real, int timeperiod=-0x80000000)\n\nDEMA(real[, timeperiod=?])\n\nDouble Exponential Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_DEMA_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_DEMA_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11DEMA_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_DEMA_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_DEMA_Stream_spec = { + "talib._ta_lib.DEMA_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_DEMA_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_DEMA_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_DEMA_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""DEMA_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_DEMA_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_DEMA_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("DEMA_Stream(real, int timeperiod=-0x80000000)\n\nDEMA(real[, timeperiod=?])\n\nDouble Exponential Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_DEMA_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_DEMA_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11DEMA_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_DEMA_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_DIV_Stream __pyx_vtable_5talib_7_ta_lib_DIV_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_DIV_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_DIV_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_DIV_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_DIV_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_DIV_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_DIV_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10DIV_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10DIV_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10DIV_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_DIV_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10DIV_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10DIV_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10DIV_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10DIV_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10DIV_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10DIV_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10DIV_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10DIV_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_DIV_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10DIV_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_DIV_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_DIV_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("DIV_Stream(real0, real1)\n\nDIV(real0, real1)\n\nVector Arithmetic Div (Math Operators)\n\nInputs:\n real0: (any ndarray)\n real1: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_DIV_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_DIV_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10DIV_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_DIV_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_DIV_Stream_spec = { + "talib._ta_lib.DIV_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_DIV_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_DIV_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_DIV_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""DIV_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_DIV_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_DIV_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("DIV_Stream(real0, real1)\n\nDIV(real0, real1)\n\nVector Arithmetic Div (Math Operators)\n\nInputs:\n real0: (any ndarray)\n real1: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_DIV_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_DIV_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10DIV_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_DIV_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_DONCHIAN_Stream __pyx_vtable_5talib_7_ta_lib_DONCHIAN_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_DONCHIAN_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_DONCHIAN_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_DONCHIAN_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_DONCHIAN_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_DONCHIAN_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_DONCHIAN_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_15DONCHIAN_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_15DONCHIAN_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_15DONCHIAN_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_DONCHIAN_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15DONCHIAN_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15DONCHIAN_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15DONCHIAN_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15DONCHIAN_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15DONCHIAN_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15DONCHIAN_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15DONCHIAN_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15DONCHIAN_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_DONCHIAN_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_15DONCHIAN_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_DONCHIAN_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_DONCHIAN_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("DONCHIAN_Stream(high, low, int timeperiod=-0x80000000)\n\nDONCHIAN(high, low[, timeperiod=?])\n\nDonchian Channels (Overlap Studies)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n timeperiod: 20\nOutputs:\n upperband\n middleband\n lowerband")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_DONCHIAN_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_DONCHIAN_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_15DONCHIAN_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_DONCHIAN_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_DONCHIAN_Stream_spec = { + "talib._ta_lib.DONCHIAN_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_DONCHIAN_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_DONCHIAN_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_DONCHIAN_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""DONCHIAN_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_DONCHIAN_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_DONCHIAN_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("DONCHIAN_Stream(high, low, int timeperiod=-0x80000000)\n\nDONCHIAN(high, low[, timeperiod=?])\n\nDonchian Channels (Overlap Studies)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n timeperiod: 20\nOutputs:\n upperband\n middleband\n lowerband"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_DONCHIAN_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_DONCHIAN_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_15DONCHIAN_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_DONCHIAN_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_DPO_Stream __pyx_vtable_5talib_7_ta_lib_DPO_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_DPO_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_DPO_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_DPO_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_DPO_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_DPO_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_DPO_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10DPO_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10DPO_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10DPO_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_DPO_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10DPO_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10DPO_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10DPO_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10DPO_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10DPO_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10DPO_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10DPO_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10DPO_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_DPO_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10DPO_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_DPO_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_DPO_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("DPO_Stream(real, int timeperiod=-0x80000000)\n\nDPO(real[, timeperiod=?])\n\nDetrended Price Oscillator (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 20\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_DPO_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_DPO_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10DPO_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_DPO_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_DPO_Stream_spec = { + "talib._ta_lib.DPO_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_DPO_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_DPO_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_DPO_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""DPO_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_DPO_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_DPO_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("DPO_Stream(real, int timeperiod=-0x80000000)\n\nDPO(real[, timeperiod=?])\n\nDetrended Price Oscillator (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 20\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_DPO_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_DPO_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10DPO_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_DPO_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_DX_Stream __pyx_vtable_5talib_7_ta_lib_DX_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_DX_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_DX_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_DX_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_DX_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_DX_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_DX_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_9DX_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_9DX_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_9DX_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_DX_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9DX_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9DX_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9DX_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9DX_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9DX_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9DX_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9DX_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9DX_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_DX_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_9DX_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_DX_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_DX_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("DX_Stream(high, low, close, int timeperiod=-0x80000000)\n\nDX(high, low, close[, timeperiod=?])\n\nDirectional Movement Index (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_DX_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_DX_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_9DX_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_DX_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_DX_Stream_spec = { + "talib._ta_lib.DX_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_DX_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_DX_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_DX_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""DX_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_DX_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_DX_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("DX_Stream(high, low, close, int timeperiod=-0x80000000)\n\nDX(high, low, close[, timeperiod=?])\n\nDirectional Movement Index (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_DX_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_DX_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_9DX_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_DX_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_EFI_Stream __pyx_vtable_5talib_7_ta_lib_EFI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_EFI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_EFI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_EFI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_EFI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_EFI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_EFI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10EFI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10EFI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10EFI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_EFI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10EFI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10EFI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10EFI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10EFI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10EFI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10EFI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10EFI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10EFI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_EFI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10EFI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_EFI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_EFI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("EFI_Stream(close, volume, int timeperiod=-0x80000000)\n\nEFI(close, volume[, timeperiod=?])\n\nElder's Force Index (Volume Indicators)\n\nInputs:\n prices: ['close', 'volume']\nParameters:\n timeperiod: 13\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_EFI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_EFI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10EFI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_EFI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_EFI_Stream_spec = { + "talib._ta_lib.EFI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_EFI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_EFI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_EFI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""EFI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_EFI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_EFI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("EFI_Stream(close, volume, int timeperiod=-0x80000000)\n\nEFI(close, volume[, timeperiod=?])\n\nElder's Force Index (Volume Indicators)\n\nInputs:\n prices: ['close', 'volume']\nParameters:\n timeperiod: 13\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_EFI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_EFI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10EFI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_EFI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_EMA_Stream __pyx_vtable_5talib_7_ta_lib_EMA_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_EMA_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_EMA_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_EMA_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_EMA_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_EMA_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_EMA_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10EMA_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10EMA_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10EMA_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_EMA_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10EMA_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10EMA_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10EMA_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10EMA_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10EMA_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10EMA_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10EMA_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10EMA_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_EMA_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10EMA_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_EMA_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_EMA_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("EMA_Stream(real, int timeperiod=-0x80000000)\n\nEMA(real[, timeperiod=?])\n\nExponential Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_EMA_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_EMA_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10EMA_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_EMA_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_EMA_Stream_spec = { + "talib._ta_lib.EMA_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_EMA_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_EMA_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_EMA_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""EMA_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_EMA_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_EMA_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("EMA_Stream(real, int timeperiod=-0x80000000)\n\nEMA(real[, timeperiod=?])\n\nExponential Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_EMA_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_EMA_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10EMA_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_EMA_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_ER_Stream __pyx_vtable_5talib_7_ta_lib_ER_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ER_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_ER_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_ER_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_ER_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_ER_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_ER_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_9ER_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_9ER_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_9ER_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_ER_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9ER_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9ER_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9ER_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9ER_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9ER_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9ER_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9ER_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9ER_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_ER_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_9ER_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_ER_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_ER_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("ER_Stream(real, int timeperiod=-0x80000000)\n\nER(real[, timeperiod=?])\n\nKaufman Efficiency Ratio (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 10\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_ER_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_ER_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_9ER_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_ER_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_ER_Stream_spec = { + "talib._ta_lib.ER_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_ER_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_ER_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_ER_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""ER_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_ER_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_ER_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("ER_Stream(real, int timeperiod=-0x80000000)\n\nER(real[, timeperiod=?])\n\nKaufman Efficiency Ratio (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 10\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_ER_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_ER_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_9ER_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_ER_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_ERI_Stream __pyx_vtable_5talib_7_ta_lib_ERI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ERI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_ERI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_ERI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_ERI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_ERI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_ERI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10ERI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10ERI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10ERI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_ERI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ERI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ERI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ERI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ERI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ERI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ERI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ERI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ERI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_ERI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10ERI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_ERI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_ERI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("ERI_Stream(high, low, close, int timeperiod=-0x80000000)\n\nERI(high, low, close[, timeperiod=?])\n\nElder Ray Index (Bull Power / Bear Power) (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 13\nOutputs:\n bullpower\n bearpower")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_ERI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_ERI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10ERI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_ERI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_ERI_Stream_spec = { + "talib._ta_lib.ERI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_ERI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_ERI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_ERI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""ERI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_ERI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_ERI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("ERI_Stream(high, low, close, int timeperiod=-0x80000000)\n\nERI(high, low, close[, timeperiod=?])\n\nElder Ray Index (Bull Power / Bear Power) (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 13\nOutputs:\n bullpower\n bearpower"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_ERI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_ERI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10ERI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_ERI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_EXP_Stream __pyx_vtable_5talib_7_ta_lib_EXP_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_EXP_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_EXP_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_EXP_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_EXP_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_EXP_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_EXP_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10EXP_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10EXP_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10EXP_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_EXP_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10EXP_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10EXP_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10EXP_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10EXP_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10EXP_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10EXP_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10EXP_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10EXP_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_EXP_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10EXP_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_EXP_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_EXP_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("EXP_Stream(real)\n\nEXP(real)\n\nVector Arithmetic Exp (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_EXP_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_EXP_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10EXP_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_EXP_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_EXP_Stream_spec = { + "talib._ta_lib.EXP_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_EXP_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_EXP_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_EXP_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""EXP_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_EXP_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_EXP_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("EXP_Stream(real)\n\nEXP(real)\n\nVector Arithmetic Exp (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_EXP_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_EXP_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10EXP_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_EXP_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_FLOOR_Stream __pyx_vtable_5talib_7_ta_lib_FLOOR_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_FLOOR_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_FLOOR_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_FLOOR_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_FLOOR_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_FLOOR_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_FLOOR_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_12FLOOR_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_12FLOOR_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_12FLOOR_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_FLOOR_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12FLOOR_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12FLOOR_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12FLOOR_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12FLOOR_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12FLOOR_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12FLOOR_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12FLOOR_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12FLOOR_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_FLOOR_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_12FLOOR_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_FLOOR_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_FLOOR_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("FLOOR_Stream(real)\n\nFLOOR(real)\n\nVector Floor (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_FLOOR_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_FLOOR_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_12FLOOR_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_FLOOR_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_FLOOR_Stream_spec = { + "talib._ta_lib.FLOOR_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_FLOOR_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_FLOOR_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_FLOOR_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""FLOOR_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_FLOOR_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_FLOOR_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("FLOOR_Stream(real)\n\nFLOOR(real)\n\nVector Floor (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_FLOOR_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_FLOOR_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_12FLOOR_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_FLOOR_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_FOSC_Stream __pyx_vtable_5talib_7_ta_lib_FOSC_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_FOSC_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_FOSC_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_FOSC_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_FOSC_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_FOSC_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_FOSC_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11FOSC_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11FOSC_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11FOSC_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_FOSC_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11FOSC_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11FOSC_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11FOSC_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11FOSC_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11FOSC_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11FOSC_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11FOSC_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11FOSC_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_FOSC_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11FOSC_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_FOSC_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_FOSC_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("FOSC_Stream(real, int timeperiod=-0x80000000)\n\nFOSC(real[, timeperiod=?])\n\nForecast Oscillator (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 5\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_FOSC_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_FOSC_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11FOSC_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_FOSC_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_FOSC_Stream_spec = { + "talib._ta_lib.FOSC_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_FOSC_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_FOSC_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_FOSC_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""FOSC_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_FOSC_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_FOSC_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("FOSC_Stream(real, int timeperiod=-0x80000000)\n\nFOSC(real[, timeperiod=?])\n\nForecast Oscillator (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 5\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_FOSC_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_FOSC_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11FOSC_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_FOSC_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_FRACTAL_Stream __pyx_vtable_5talib_7_ta_lib_FRACTAL_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_FRACTAL_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_FRACTAL_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_FRACTAL_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_FRACTAL_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_FRACTAL_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_FRACTAL_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_14FRACTAL_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_14FRACTAL_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_14FRACTAL_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_FRACTAL_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14FRACTAL_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14FRACTAL_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14FRACTAL_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14FRACTAL_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14FRACTAL_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14FRACTAL_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14FRACTAL_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14FRACTAL_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_FRACTAL_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_14FRACTAL_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_FRACTAL_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_FRACTAL_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("FRACTAL_Stream(high, low, int leftbars=-0x80000000, int rightbars=-0x80000000)\n\nFRACTAL(high, low[, leftbars=?, rightbars=?])\n\nWilliams Fractal (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n leftbars: 2\n rightbars: 2\nOutputs:\n swinghigh\n swinglow")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_FRACTAL_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_FRACTAL_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_14FRACTAL_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_FRACTAL_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_FRACTAL_Stream_spec = { + "talib._ta_lib.FRACTAL_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_FRACTAL_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_FRACTAL_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_FRACTAL_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""FRACTAL_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_FRACTAL_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_FRACTAL_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("FRACTAL_Stream(high, low, int leftbars=-0x80000000, int rightbars=-0x80000000)\n\nFRACTAL(high, low[, leftbars=?, rightbars=?])\n\nWilliams Fractal (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n leftbars: 2\n rightbars: 2\nOutputs:\n swinghigh\n swinglow"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_FRACTAL_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_FRACTAL_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_14FRACTAL_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_FRACTAL_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_HA_Stream __pyx_vtable_5talib_7_ta_lib_HA_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_HA_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_HA_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_HA_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_HA_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_HA_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_HA_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_9HA_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_9HA_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_9HA_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_HA_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9HA_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9HA_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9HA_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9HA_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9HA_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9HA_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9HA_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9HA_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_HA_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_9HA_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_HA_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_HA_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("HA_Stream(open, high, low, close)\n\nHA(open, high, low, close)\n\nHeikin-Ashi Candles (Price Transform)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n haopen\n hahigh\n halow\n haclose")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_HA_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_HA_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_9HA_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_HA_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_HA_Stream_spec = { + "talib._ta_lib.HA_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_HA_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_HA_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_HA_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""HA_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_HA_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_HA_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("HA_Stream(open, high, low, close)\n\nHA(open, high, low, close)\n\nHeikin-Ashi Candles (Price Transform)\n\nInputs:\n prices: ['open', 'high', 'low', 'close']\nOutputs:\n haopen\n hahigh\n halow\n haclose"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_HA_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_HA_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_9HA_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_HA_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_HMA_Stream __pyx_vtable_5talib_7_ta_lib_HMA_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_HMA_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_HMA_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_HMA_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_HMA_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_HMA_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_HMA_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10HMA_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10HMA_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10HMA_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_HMA_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10HMA_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10HMA_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10HMA_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10HMA_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10HMA_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10HMA_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10HMA_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10HMA_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_HMA_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10HMA_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_HMA_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_HMA_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("HMA_Stream(real, int timeperiod=-0x80000000)\n\nHMA(real[, timeperiod=?])\n\nHull Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 20\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_HMA_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_HMA_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10HMA_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_HMA_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_HMA_Stream_spec = { + "talib._ta_lib.HMA_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_HMA_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_HMA_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_HMA_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""HMA_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_HMA_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_HMA_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("HMA_Stream(real, int timeperiod=-0x80000000)\n\nHMA(real[, timeperiod=?])\n\nHull Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 20\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_HMA_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_HMA_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10HMA_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_HMA_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_HT_DCPERIOD_Stream __pyx_vtable_5talib_7_ta_lib_HT_DCPERIOD_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_HT_DCPERIOD_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_HT_DCPERIOD_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_HT_DCPERIOD_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_HT_DCPERIOD_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_HT_DCPERIOD_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_HT_DCPERIOD_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_18HT_DCPERIOD_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_18HT_DCPERIOD_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_18HT_DCPERIOD_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_HT_DCPERIOD_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18HT_DCPERIOD_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18HT_DCPERIOD_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18HT_DCPERIOD_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18HT_DCPERIOD_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18HT_DCPERIOD_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18HT_DCPERIOD_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18HT_DCPERIOD_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18HT_DCPERIOD_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_HT_DCPERIOD_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_18HT_DCPERIOD_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_HT_DCPERIOD_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_HT_DCPERIOD_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("HT_DCPERIOD_Stream(real)\n\nHT_DCPERIOD(real)\n\nHilbert Transform - Dominant Cycle Period (Cycle Indicators)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_HT_DCPERIOD_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_HT_DCPERIOD_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_18HT_DCPERIOD_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_HT_DCPERIOD_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_HT_DCPERIOD_Stream_spec = { + "talib._ta_lib.HT_DCPERIOD_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_HT_DCPERIOD_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_HT_DCPERIOD_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_HT_DCPERIOD_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""HT_DCPERIOD_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_HT_DCPERIOD_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_HT_DCPERIOD_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("HT_DCPERIOD_Stream(real)\n\nHT_DCPERIOD(real)\n\nHilbert Transform - Dominant Cycle Period (Cycle Indicators)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_HT_DCPERIOD_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_HT_DCPERIOD_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_18HT_DCPERIOD_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_HT_DCPERIOD_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_HT_DCPHASE_Stream __pyx_vtable_5talib_7_ta_lib_HT_DCPHASE_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_HT_DCPHASE_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_HT_DCPHASE_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_HT_DCPHASE_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_HT_DCPHASE_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_HT_DCPHASE_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_HT_DCPHASE_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_17HT_DCPHASE_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_17HT_DCPHASE_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_17HT_DCPHASE_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_HT_DCPHASE_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17HT_DCPHASE_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17HT_DCPHASE_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17HT_DCPHASE_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17HT_DCPHASE_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17HT_DCPHASE_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17HT_DCPHASE_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17HT_DCPHASE_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17HT_DCPHASE_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_HT_DCPHASE_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_17HT_DCPHASE_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_HT_DCPHASE_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_HT_DCPHASE_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("HT_DCPHASE_Stream(real)\n\nHT_DCPHASE(real)\n\nHilbert Transform - Dominant Cycle Phase (Cycle Indicators)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_HT_DCPHASE_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_HT_DCPHASE_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_17HT_DCPHASE_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_HT_DCPHASE_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_HT_DCPHASE_Stream_spec = { + "talib._ta_lib.HT_DCPHASE_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_HT_DCPHASE_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_HT_DCPHASE_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_HT_DCPHASE_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""HT_DCPHASE_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_HT_DCPHASE_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_HT_DCPHASE_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("HT_DCPHASE_Stream(real)\n\nHT_DCPHASE(real)\n\nHilbert Transform - Dominant Cycle Phase (Cycle Indicators)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_HT_DCPHASE_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_HT_DCPHASE_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_17HT_DCPHASE_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_HT_DCPHASE_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_HT_PHASOR_Stream __pyx_vtable_5talib_7_ta_lib_HT_PHASOR_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_HT_PHASOR_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_HT_PHASOR_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_HT_PHASOR_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_HT_PHASOR_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_HT_PHASOR_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_HT_PHASOR_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_16HT_PHASOR_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_16HT_PHASOR_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_16HT_PHASOR_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_HT_PHASOR_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16HT_PHASOR_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16HT_PHASOR_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16HT_PHASOR_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16HT_PHASOR_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16HT_PHASOR_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16HT_PHASOR_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16HT_PHASOR_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16HT_PHASOR_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_HT_PHASOR_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_16HT_PHASOR_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_HT_PHASOR_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_HT_PHASOR_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("HT_PHASOR_Stream(real)\n\nHT_PHASOR(real)\n\nHilbert Transform - Phasor Components (Cycle Indicators)\n\nInputs:\n real: (any ndarray)\nOutputs:\n inphase\n quadrature")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_HT_PHASOR_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_HT_PHASOR_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_16HT_PHASOR_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_HT_PHASOR_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_HT_PHASOR_Stream_spec = { + "talib._ta_lib.HT_PHASOR_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_HT_PHASOR_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_HT_PHASOR_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_HT_PHASOR_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""HT_PHASOR_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_HT_PHASOR_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_HT_PHASOR_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("HT_PHASOR_Stream(real)\n\nHT_PHASOR(real)\n\nHilbert Transform - Phasor Components (Cycle Indicators)\n\nInputs:\n real: (any ndarray)\nOutputs:\n inphase\n quadrature"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_HT_PHASOR_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_HT_PHASOR_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_16HT_PHASOR_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_HT_PHASOR_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_HT_SINE_Stream __pyx_vtable_5talib_7_ta_lib_HT_SINE_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_HT_SINE_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_HT_SINE_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_HT_SINE_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_HT_SINE_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_HT_SINE_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_HT_SINE_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_14HT_SINE_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_14HT_SINE_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_14HT_SINE_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_HT_SINE_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14HT_SINE_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14HT_SINE_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14HT_SINE_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14HT_SINE_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14HT_SINE_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14HT_SINE_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14HT_SINE_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14HT_SINE_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_HT_SINE_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_14HT_SINE_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_HT_SINE_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_HT_SINE_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("HT_SINE_Stream(real)\n\nHT_SINE(real)\n\nHilbert Transform - SineWave (Cycle Indicators)\n\nInputs:\n real: (any ndarray)\nOutputs:\n sine\n leadsine")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_HT_SINE_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_HT_SINE_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_14HT_SINE_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_HT_SINE_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_HT_SINE_Stream_spec = { + "talib._ta_lib.HT_SINE_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_HT_SINE_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_HT_SINE_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_HT_SINE_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""HT_SINE_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_HT_SINE_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_HT_SINE_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("HT_SINE_Stream(real)\n\nHT_SINE(real)\n\nHilbert Transform - SineWave (Cycle Indicators)\n\nInputs:\n real: (any ndarray)\nOutputs:\n sine\n leadsine"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_HT_SINE_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_HT_SINE_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_14HT_SINE_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_HT_SINE_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_HT_TRENDLINE_Stream __pyx_vtable_5talib_7_ta_lib_HT_TRENDLINE_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_HT_TRENDLINE_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_HT_TRENDLINE_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_HT_TRENDLINE_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_HT_TRENDLINE_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_HT_TRENDLINE_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_HT_TRENDLINE_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_19HT_TRENDLINE_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_19HT_TRENDLINE_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_19HT_TRENDLINE_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_HT_TRENDLINE_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19HT_TRENDLINE_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19HT_TRENDLINE_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19HT_TRENDLINE_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19HT_TRENDLINE_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19HT_TRENDLINE_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19HT_TRENDLINE_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19HT_TRENDLINE_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19HT_TRENDLINE_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_HT_TRENDLINE_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_19HT_TRENDLINE_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_HT_TRENDLINE_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_HT_TRENDLINE_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("HT_TRENDLINE_Stream(real)\n\nHT_TRENDLINE(real)\n\nHilbert Transform - Instantaneous Trendline (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_HT_TRENDLINE_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_HT_TRENDLINE_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_19HT_TRENDLINE_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_HT_TRENDLINE_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_HT_TRENDLINE_Stream_spec = { + "talib._ta_lib.HT_TRENDLINE_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_HT_TRENDLINE_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_HT_TRENDLINE_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_HT_TRENDLINE_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""HT_TRENDLINE_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_HT_TRENDLINE_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_HT_TRENDLINE_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("HT_TRENDLINE_Stream(real)\n\nHT_TRENDLINE(real)\n\nHilbert Transform - Instantaneous Trendline (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_HT_TRENDLINE_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_HT_TRENDLINE_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_19HT_TRENDLINE_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_HT_TRENDLINE_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_HT_TRENDMODE_Stream __pyx_vtable_5talib_7_ta_lib_HT_TRENDMODE_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_HT_TRENDMODE_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_HT_TRENDMODE_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_HT_TRENDMODE_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_HT_TRENDMODE_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_HT_TRENDMODE_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_HT_TRENDMODE_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_19HT_TRENDMODE_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_19HT_TRENDMODE_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_19HT_TRENDMODE_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_HT_TRENDMODE_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19HT_TRENDMODE_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19HT_TRENDMODE_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19HT_TRENDMODE_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19HT_TRENDMODE_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19HT_TRENDMODE_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19HT_TRENDMODE_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_19HT_TRENDMODE_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_19HT_TRENDMODE_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_HT_TRENDMODE_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_19HT_TRENDMODE_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_HT_TRENDMODE_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_HT_TRENDMODE_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("HT_TRENDMODE_Stream(real)\n\nHT_TRENDMODE(real)\n\nHilbert Transform - Trend vs Cycle Mode (Cycle Indicators)\n\nInputs:\n real: (any ndarray)\nOutputs:\n integer")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_HT_TRENDMODE_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_HT_TRENDMODE_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_19HT_TRENDMODE_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_HT_TRENDMODE_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_HT_TRENDMODE_Stream_spec = { + "talib._ta_lib.HT_TRENDMODE_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_HT_TRENDMODE_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_HT_TRENDMODE_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_HT_TRENDMODE_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""HT_TRENDMODE_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_HT_TRENDMODE_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_HT_TRENDMODE_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("HT_TRENDMODE_Stream(real)\n\nHT_TRENDMODE(real)\n\nHilbert Transform - Trend vs Cycle Mode (Cycle Indicators)\n\nInputs:\n real: (any ndarray)\nOutputs:\n integer"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_HT_TRENDMODE_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_HT_TRENDMODE_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_19HT_TRENDMODE_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_HT_TRENDMODE_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_IMI_Stream __pyx_vtable_5talib_7_ta_lib_IMI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_IMI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_IMI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_IMI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_IMI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_IMI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_IMI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10IMI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10IMI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10IMI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_IMI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10IMI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10IMI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10IMI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10IMI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10IMI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10IMI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10IMI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10IMI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_IMI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10IMI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_IMI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_IMI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("IMI_Stream(open, close, int timeperiod=-0x80000000)\n\nIMI(open, close[, timeperiod=?])\n\nIntraday Momentum Index (Momentum Indicators)\n\nInputs:\n prices: ['open', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_IMI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_IMI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10IMI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_IMI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_IMI_Stream_spec = { + "talib._ta_lib.IMI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_IMI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_IMI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_IMI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""IMI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_IMI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_IMI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("IMI_Stream(open, close, int timeperiod=-0x80000000)\n\nIMI(open, close[, timeperiod=?])\n\nIntraday Momentum Index (Momentum Indicators)\n\nInputs:\n prices: ['open', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_IMI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_IMI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10IMI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_IMI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_KAMA_Stream __pyx_vtable_5talib_7_ta_lib_KAMA_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_KAMA_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_KAMA_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_KAMA_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_KAMA_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_KAMA_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_KAMA_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11KAMA_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11KAMA_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11KAMA_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_KAMA_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11KAMA_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11KAMA_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11KAMA_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11KAMA_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11KAMA_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11KAMA_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11KAMA_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11KAMA_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_KAMA_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11KAMA_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_KAMA_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_KAMA_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("KAMA_Stream(real, int timeperiod=-0x80000000)\n\nKAMA(real[, timeperiod=?])\n\nKaufman Adaptive Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_KAMA_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_KAMA_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11KAMA_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_KAMA_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_KAMA_Stream_spec = { + "talib._ta_lib.KAMA_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_KAMA_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_KAMA_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_KAMA_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""KAMA_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_KAMA_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_KAMA_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("KAMA_Stream(real, int timeperiod=-0x80000000)\n\nKAMA(real[, timeperiod=?])\n\nKaufman Adaptive Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_KAMA_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_KAMA_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11KAMA_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_KAMA_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_KC_Stream __pyx_vtable_5talib_7_ta_lib_KC_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_KC_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_KC_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_KC_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_KC_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_KC_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_KC_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_9KC_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_9KC_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_9KC_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_KC_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9KC_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9KC_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9KC_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9KC_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9KC_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9KC_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9KC_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9KC_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_KC_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_9KC_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_KC_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_KC_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("KC_Stream(high, low, close, int timeperiod=-0x80000000, int atrperiod=-0x80000000, double nbdev=-4e37)\n\nKC(high, low, close[, timeperiod=?, atrperiod=?, nbdev=?])\n\nKeltner Channels (Overlap Studies)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 20\n atrperiod: 10\n nbdev: 2.0\nOutputs:\n upperband\n middleband\n lowerband")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_KC_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_KC_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_9KC_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_KC_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_KC_Stream_spec = { + "talib._ta_lib.KC_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_KC_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_KC_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_KC_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""KC_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_KC_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_KC_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("KC_Stream(high, low, close, int timeperiod=-0x80000000, int atrperiod=-0x80000000, double nbdev=-4e37)\n\nKC(high, low, close[, timeperiod=?, atrperiod=?, nbdev=?])\n\nKeltner Channels (Overlap Studies)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 20\n atrperiod: 10\n nbdev: 2.0\nOutputs:\n upperband\n middleband\n lowerband"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_KC_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_KC_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_9KC_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_KC_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_KDJ_Stream __pyx_vtable_5talib_7_ta_lib_KDJ_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_KDJ_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_KDJ_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_KDJ_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_KDJ_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_KDJ_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_KDJ_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10KDJ_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10KDJ_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10KDJ_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_KDJ_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10KDJ_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10KDJ_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10KDJ_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10KDJ_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10KDJ_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10KDJ_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10KDJ_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10KDJ_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_KDJ_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10KDJ_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_KDJ_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_KDJ_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("KDJ_Stream(high, low, close, int fastk_period=-0x80000000, int slowk_period=-0x80000000, int slowk_matype=13, int slowd_period=-0x80000000, int slowd_matype=13)\n\nKDJ(high, low, close[, fastk_period=?, slowk_period=?, slowk_matype=?, slowd_period=?, slowd_matype=?])\n\nKDJ Stochastic (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n fastk_period: 9\n slowk_period: 3\n slowk_matype: 13 (Wilder's Smoothed Moving Average)\n slowd_period: 3\n slowd_matype: 13 (Wilder's Smoothed Moving Average)\nOutputs:\n k\n d\n j")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_KDJ_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_KDJ_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10KDJ_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_KDJ_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_KDJ_Stream_spec = { + "talib._ta_lib.KDJ_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_KDJ_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_KDJ_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_KDJ_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""KDJ_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_KDJ_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_KDJ_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("KDJ_Stream(high, low, close, int fastk_period=-0x80000000, int slowk_period=-0x80000000, int slowk_matype=13, int slowd_period=-0x80000000, int slowd_matype=13)\n\nKDJ(high, low, close[, fastk_period=?, slowk_period=?, slowk_matype=?, slowd_period=?, slowd_matype=?])\n\nKDJ Stochastic (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n fastk_period: 9\n slowk_period: 3\n slowk_matype: 13 (Wilder's Smoothed Moving Average)\n slowd_period: 3\n slowd_matype: 13 (Wilder's Smoothed Moving Average)\nOutputs:\n k\n d\n j"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_KDJ_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_KDJ_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10KDJ_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_KDJ_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_LINEARREG_Stream __pyx_vtable_5talib_7_ta_lib_LINEARREG_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_LINEARREG_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_LINEARREG_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_LINEARREG_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_LINEARREG_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_LINEARREG_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_LINEARREG_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_16LINEARREG_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_16LINEARREG_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_16LINEARREG_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_LINEARREG_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16LINEARREG_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16LINEARREG_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16LINEARREG_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16LINEARREG_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16LINEARREG_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16LINEARREG_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_16LINEARREG_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_16LINEARREG_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_LINEARREG_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_16LINEARREG_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_LINEARREG_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_LINEARREG_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("LINEARREG_Stream(real, int timeperiod=-0x80000000)\n\nLINEARREG(real[, timeperiod=?])\n\nLinear Regression (Statistic Functions)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_LINEARREG_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_LINEARREG_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_16LINEARREG_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_LINEARREG_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_LINEARREG_Stream_spec = { + "talib._ta_lib.LINEARREG_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_LINEARREG_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_LINEARREG_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""LINEARREG_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_LINEARREG_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("LINEARREG_Stream(real, int timeperiod=-0x80000000)\n\nLINEARREG(real[, timeperiod=?])\n\nLinear Regression (Statistic Functions)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_LINEARREG_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_LINEARREG_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_16LINEARREG_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_LINEARREG_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_LINEARREG_ANGLE_Stream __pyx_vtable_5talib_7_ta_lib_LINEARREG_ANGLE_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_LINEARREG_ANGLE_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_LINEARREG_ANGLE_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_LINEARREG_ANGLE_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_LINEARREG_ANGLE_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_LINEARREG_ANGLE_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_LINEARREG_ANGLE_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_LINEARREG_ANGLE_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_LINEARREG_ANGLE_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_LINEARREG_ANGLE_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_LINEARREG_ANGLE_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("LINEARREG_ANGLE_Stream(real, int timeperiod=-0x80000000)\n\nLINEARREG_ANGLE(real[, timeperiod=?])\n\nLinear Regression Angle (Statistic Functions)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_LINEARREG_ANGLE_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_LINEARREG_ANGLE_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_LINEARREG_ANGLE_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_LINEARREG_ANGLE_Stream_spec = { + "talib._ta_lib.LINEARREG_ANGLE_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_ANGLE_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_LINEARREG_ANGLE_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_LINEARREG_ANGLE_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""LINEARREG_ANGLE_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_ANGLE_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_LINEARREG_ANGLE_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("LINEARREG_ANGLE_Stream(real, int timeperiod=-0x80000000)\n\nLINEARREG_ANGLE(real[, timeperiod=?])\n\nLinear Regression Angle (Statistic Functions)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_LINEARREG_ANGLE_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_LINEARREG_ANGLE_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_22LINEARREG_ANGLE_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_LINEARREG_ANGLE_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream __pyx_vtable_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("LINEARREG_INTERCEPT_Stream(real, int timeperiod=-0x80000000)\n\nLINEARREG_INTERCEPT(real[, timeperiod=?])\n\nLinear Regression Intercept (Statistic Functions)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream_spec = { + "talib._ta_lib.LINEARREG_INTERCEPT_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""LINEARREG_INTERCEPT_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("LINEARREG_INTERCEPT_Stream(real, int timeperiod=-0x80000000)\n\nLINEARREG_INTERCEPT(real[, timeperiod=?])\n\nLinear Regression Intercept (Statistic Functions)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_26LINEARREG_INTERCEPT_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_LINEARREG_INTERCEPT_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_LINEARREG_SLOPE_Stream __pyx_vtable_5talib_7_ta_lib_LINEARREG_SLOPE_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_LINEARREG_SLOPE_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_LINEARREG_SLOPE_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_LINEARREG_SLOPE_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_LINEARREG_SLOPE_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_LINEARREG_SLOPE_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_LINEARREG_SLOPE_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_LINEARREG_SLOPE_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_LINEARREG_SLOPE_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_LINEARREG_SLOPE_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_LINEARREG_SLOPE_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("LINEARREG_SLOPE_Stream(real, int timeperiod=-0x80000000)\n\nLINEARREG_SLOPE(real[, timeperiod=?])\n\nLinear Regression Slope (Statistic Functions)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_LINEARREG_SLOPE_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_LINEARREG_SLOPE_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_LINEARREG_SLOPE_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_LINEARREG_SLOPE_Stream_spec = { + "talib._ta_lib.LINEARREG_SLOPE_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_SLOPE_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_LINEARREG_SLOPE_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_LINEARREG_SLOPE_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""LINEARREG_SLOPE_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_LINEARREG_SLOPE_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_LINEARREG_SLOPE_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("LINEARREG_SLOPE_Stream(real, int timeperiod=-0x80000000)\n\nLINEARREG_SLOPE(real[, timeperiod=?])\n\nLinear Regression Slope (Statistic Functions)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_LINEARREG_SLOPE_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_LINEARREG_SLOPE_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_22LINEARREG_SLOPE_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_LINEARREG_SLOPE_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_LN_Stream __pyx_vtable_5talib_7_ta_lib_LN_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_LN_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_LN_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_LN_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_LN_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_LN_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_LN_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_9LN_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_9LN_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_9LN_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_LN_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9LN_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9LN_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9LN_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9LN_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9LN_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9LN_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9LN_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9LN_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_LN_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_9LN_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_LN_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_LN_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("LN_Stream(real)\n\nLN(real)\n\nVector Log Natural (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_LN_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_LN_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_9LN_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_LN_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_LN_Stream_spec = { + "talib._ta_lib.LN_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_LN_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_LN_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_LN_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""LN_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_LN_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_LN_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("LN_Stream(real)\n\nLN(real)\n\nVector Log Natural (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_LN_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_LN_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_9LN_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_LN_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_LOG10_Stream __pyx_vtable_5talib_7_ta_lib_LOG10_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_LOG10_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_LOG10_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_LOG10_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_LOG10_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_LOG10_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_LOG10_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_12LOG10_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_12LOG10_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_12LOG10_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_LOG10_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12LOG10_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12LOG10_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12LOG10_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12LOG10_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12LOG10_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12LOG10_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12LOG10_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12LOG10_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_LOG10_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_12LOG10_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_LOG10_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_LOG10_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("LOG10_Stream(real)\n\nLOG10(real)\n\nVector Log10 (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_LOG10_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_LOG10_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_12LOG10_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_LOG10_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_LOG10_Stream_spec = { + "talib._ta_lib.LOG10_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_LOG10_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_LOG10_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_LOG10_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""LOG10_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_LOG10_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_LOG10_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("LOG10_Stream(real)\n\nLOG10(real)\n\nVector Log10 (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_LOG10_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_LOG10_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_12LOG10_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_LOG10_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MA_Stream __pyx_vtable_5talib_7_ta_lib_MA_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MA_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MA_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MA_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MA_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MA_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MA_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_9MA_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_9MA_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_9MA_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MA_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9MA_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9MA_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9MA_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9MA_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9MA_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9MA_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9MA_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9MA_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MA_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_9MA_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MA_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MA_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MA_Stream(real, int timeperiod=-0x80000000, int matype=0)\n\nMA(real[, timeperiod=?, matype=?])\n\nMoving average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\n matype: 0 (Simple Moving Average)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MA_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MA_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_9MA_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MA_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MA_Stream_spec = { + "talib._ta_lib.MA_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MA_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MA_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MA_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MA_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MA_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MA_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MA_Stream(real, int timeperiod=-0x80000000, int matype=0)\n\nMA(real[, timeperiod=?, matype=?])\n\nMoving average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\n matype: 0 (Simple Moving Average)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MA_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MA_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_9MA_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MA_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MACD_Stream __pyx_vtable_5talib_7_ta_lib_MACD_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MACD_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MACD_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MACD_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MACD_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MACD_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MACD_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11MACD_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11MACD_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11MACD_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MACD_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11MACD_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11MACD_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11MACD_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11MACD_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11MACD_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11MACD_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11MACD_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11MACD_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MACD_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11MACD_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MACD_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MACD_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MACD_Stream(real, int fastperiod=-0x80000000, int slowperiod=-0x80000000, int signalperiod=-0x80000000)\n\nMACD(real[, fastperiod=?, slowperiod=?, signalperiod=?])\n\nMoving Average Convergence/Divergence (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n fastperiod: 12\n slowperiod: 26\n signalperiod: 9\nOutputs:\n macd\n macdsignal\n macdhist")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MACD_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MACD_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11MACD_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MACD_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MACD_Stream_spec = { + "talib._ta_lib.MACD_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MACD_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MACD_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MACD_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MACD_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MACD_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MACD_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MACD_Stream(real, int fastperiod=-0x80000000, int slowperiod=-0x80000000, int signalperiod=-0x80000000)\n\nMACD(real[, fastperiod=?, slowperiod=?, signalperiod=?])\n\nMoving Average Convergence/Divergence (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n fastperiod: 12\n slowperiod: 26\n signalperiod: 9\nOutputs:\n macd\n macdsignal\n macdhist"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MACD_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MACD_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11MACD_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MACD_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MACDEXT_Stream __pyx_vtable_5talib_7_ta_lib_MACDEXT_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MACDEXT_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MACDEXT_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MACDEXT_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MACDEXT_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MACDEXT_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MACDEXT_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_14MACDEXT_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_14MACDEXT_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_14MACDEXT_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MACDEXT_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14MACDEXT_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14MACDEXT_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14MACDEXT_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14MACDEXT_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14MACDEXT_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14MACDEXT_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14MACDEXT_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14MACDEXT_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MACDEXT_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_14MACDEXT_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MACDEXT_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MACDEXT_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MACDEXT_Stream(real, int fastperiod=-0x80000000, int fastmatype=0, int slowperiod=-0x80000000, int slowmatype=0, int signalperiod=-0x80000000, int signalmatype=0)\n\nMACDEXT(real[, fastperiod=?, fastmatype=?, slowperiod=?, slowmatype=?, signalperiod=?, signalmatype=?])\n\nMACD with controllable MA type (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n fastperiod: 12\n fastmatype: 0 (Simple Moving Average)\n slowperiod: 26\n slowmatype: 0 (Simple Moving Average)\n signalperiod: 9\n signalmatype: 0 (Simple Moving Average)\nOutputs:\n macd\n macdsignal\n macdhist")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MACDEXT_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MACDEXT_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_14MACDEXT_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MACDEXT_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MACDEXT_Stream_spec = { + "talib._ta_lib.MACDEXT_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MACDEXT_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MACDEXT_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MACDEXT_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MACDEXT_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MACDEXT_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MACDEXT_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MACDEXT_Stream(real, int fastperiod=-0x80000000, int fastmatype=0, int slowperiod=-0x80000000, int slowmatype=0, int signalperiod=-0x80000000, int signalmatype=0)\n\nMACDEXT(real[, fastperiod=?, fastmatype=?, slowperiod=?, slowmatype=?, signalperiod=?, signalmatype=?])\n\nMACD with controllable MA type (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n fastperiod: 12\n fastmatype: 0 (Simple Moving Average)\n slowperiod: 26\n slowmatype: 0 (Simple Moving Average)\n signalperiod: 9\n signalmatype: 0 (Simple Moving Average)\nOutputs:\n macd\n macdsignal\n macdhist"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MACDEXT_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MACDEXT_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_14MACDEXT_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MACDEXT_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MACDFIX_Stream __pyx_vtable_5talib_7_ta_lib_MACDFIX_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MACDFIX_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MACDFIX_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MACDFIX_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MACDFIX_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MACDFIX_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MACDFIX_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_14MACDFIX_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_14MACDFIX_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_14MACDFIX_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MACDFIX_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14MACDFIX_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14MACDFIX_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14MACDFIX_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14MACDFIX_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14MACDFIX_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14MACDFIX_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14MACDFIX_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14MACDFIX_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MACDFIX_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_14MACDFIX_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MACDFIX_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MACDFIX_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MACDFIX_Stream(real, int signalperiod=-0x80000000)\n\nMACDFIX(real[, signalperiod=?])\n\nMoving Average Convergence/Divergence Fix 12/26 (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n signalperiod: 9\nOutputs:\n macd\n macdsignal\n macdhist")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MACDFIX_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MACDFIX_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_14MACDFIX_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MACDFIX_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MACDFIX_Stream_spec = { + "talib._ta_lib.MACDFIX_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MACDFIX_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MACDFIX_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MACDFIX_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MACDFIX_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MACDFIX_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MACDFIX_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MACDFIX_Stream(real, int signalperiod=-0x80000000)\n\nMACDFIX(real[, signalperiod=?])\n\nMoving Average Convergence/Divergence Fix 12/26 (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n signalperiod: 9\nOutputs:\n macd\n macdsignal\n macdhist"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MACDFIX_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MACDFIX_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_14MACDFIX_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MACDFIX_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MAMA_Stream __pyx_vtable_5talib_7_ta_lib_MAMA_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MAMA_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MAMA_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MAMA_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MAMA_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MAMA_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MAMA_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11MAMA_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11MAMA_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11MAMA_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MAMA_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11MAMA_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11MAMA_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11MAMA_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11MAMA_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11MAMA_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11MAMA_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11MAMA_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11MAMA_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MAMA_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11MAMA_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MAMA_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MAMA_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MAMA_Stream(real, double fastlimit=-4e37, double slowlimit=-4e37)\n\nMAMA(real[, fastlimit=?, slowlimit=?])\n\nMESA Adaptive Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n fastlimit: 0.5\n slowlimit: 0.05\nOutputs:\n mama\n fama")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MAMA_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MAMA_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11MAMA_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MAMA_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MAMA_Stream_spec = { + "talib._ta_lib.MAMA_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MAMA_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MAMA_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MAMA_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MAMA_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MAMA_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MAMA_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MAMA_Stream(real, double fastlimit=-4e37, double slowlimit=-4e37)\n\nMAMA(real[, fastlimit=?, slowlimit=?])\n\nMESA Adaptive Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n fastlimit: 0.5\n slowlimit: 0.05\nOutputs:\n mama\n fama"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MAMA_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MAMA_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11MAMA_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MAMA_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MARKETFI_Stream __pyx_vtable_5talib_7_ta_lib_MARKETFI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MARKETFI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MARKETFI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MARKETFI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MARKETFI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MARKETFI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MARKETFI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_15MARKETFI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_15MARKETFI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_15MARKETFI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MARKETFI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MARKETFI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MARKETFI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MARKETFI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MARKETFI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MARKETFI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MARKETFI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MARKETFI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MARKETFI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MARKETFI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_15MARKETFI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MARKETFI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MARKETFI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MARKETFI_Stream(high, low, volume)\n\nMARKETFI(high, low, volume)\n\nMarket Facilitation Index (Volume Indicators)\n\nInputs:\n prices: ['high', 'low', 'volume']\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MARKETFI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MARKETFI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_15MARKETFI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MARKETFI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MARKETFI_Stream_spec = { + "talib._ta_lib.MARKETFI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MARKETFI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MARKETFI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MARKETFI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MARKETFI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MARKETFI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MARKETFI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MARKETFI_Stream(high, low, volume)\n\nMARKETFI(high, low, volume)\n\nMarket Facilitation Index (Volume Indicators)\n\nInputs:\n prices: ['high', 'low', 'volume']\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MARKETFI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MARKETFI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_15MARKETFI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MARKETFI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MASSI_Stream __pyx_vtable_5talib_7_ta_lib_MASSI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MASSI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MASSI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MASSI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MASSI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MASSI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MASSI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_12MASSI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_12MASSI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_12MASSI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MASSI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12MASSI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12MASSI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12MASSI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12MASSI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12MASSI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12MASSI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12MASSI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12MASSI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MASSI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_12MASSI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MASSI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MASSI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MASSI_Stream(high, low, int fastperiod=-0x80000000, int slowperiod=-0x80000000)\n\nMASSI(high, low[, fastperiod=?, slowperiod=?])\n\nMass Index (Volatility Indicators)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n fastperiod: 9\n slowperiod: 25\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MASSI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MASSI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_12MASSI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MASSI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MASSI_Stream_spec = { + "talib._ta_lib.MASSI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MASSI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MASSI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MASSI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MASSI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MASSI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MASSI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MASSI_Stream(high, low, int fastperiod=-0x80000000, int slowperiod=-0x80000000)\n\nMASSI(high, low[, fastperiod=?, slowperiod=?])\n\nMass Index (Volatility Indicators)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n fastperiod: 9\n slowperiod: 25\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MASSI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MASSI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_12MASSI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MASSI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MAVP_Stream __pyx_vtable_5talib_7_ta_lib_MAVP_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MAVP_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MAVP_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MAVP_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MAVP_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MAVP_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MAVP_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11MAVP_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11MAVP_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11MAVP_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MAVP_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11MAVP_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11MAVP_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11MAVP_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11MAVP_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11MAVP_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11MAVP_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11MAVP_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11MAVP_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MAVP_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11MAVP_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MAVP_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MAVP_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MAVP_Stream(real, periods, int minperiod=-0x80000000, int maxperiod=-0x80000000, int matype=0)\n\nMAVP(real, periods[, minperiod=?, maxperiod=?, matype=?])\n\nMoving average with variable period (Overlap Studies)\n\nInputs:\n real: (any ndarray)\n periods: (any ndarray)\nParameters:\n minperiod: 2\n maxperiod: 30\n matype: 0 (Simple Moving Average)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MAVP_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MAVP_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11MAVP_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MAVP_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MAVP_Stream_spec = { + "talib._ta_lib.MAVP_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MAVP_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MAVP_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MAVP_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MAVP_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MAVP_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MAVP_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MAVP_Stream(real, periods, int minperiod=-0x80000000, int maxperiod=-0x80000000, int matype=0)\n\nMAVP(real, periods[, minperiod=?, maxperiod=?, matype=?])\n\nMoving average with variable period (Overlap Studies)\n\nInputs:\n real: (any ndarray)\n periods: (any ndarray)\nParameters:\n minperiod: 2\n maxperiod: 30\n matype: 0 (Simple Moving Average)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MAVP_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MAVP_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11MAVP_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MAVP_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MAX_Stream __pyx_vtable_5talib_7_ta_lib_MAX_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MAX_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MAX_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MAX_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MAX_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MAX_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MAX_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10MAX_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10MAX_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10MAX_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MAX_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10MAX_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10MAX_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10MAX_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10MAX_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10MAX_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10MAX_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10MAX_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10MAX_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MAX_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10MAX_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MAX_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MAX_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MAX_Stream(real, int timeperiod=-0x80000000)\n\nMAX(real[, timeperiod=?])\n\nHighest value over a specified period (Math Operators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MAX_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MAX_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10MAX_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MAX_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MAX_Stream_spec = { + "talib._ta_lib.MAX_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MAX_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MAX_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MAX_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MAX_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MAX_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MAX_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MAX_Stream(real, int timeperiod=-0x80000000)\n\nMAX(real[, timeperiod=?])\n\nHighest value over a specified period (Math Operators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MAX_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MAX_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10MAX_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MAX_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MAXINDEX_Stream __pyx_vtable_5talib_7_ta_lib_MAXINDEX_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MAXINDEX_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MAXINDEX_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MAXINDEX_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MAXINDEX_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MAXINDEX_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MAXINDEX_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_15MAXINDEX_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_15MAXINDEX_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_15MAXINDEX_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MAXINDEX_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MAXINDEX_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MAXINDEX_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MAXINDEX_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MAXINDEX_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MAXINDEX_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MAXINDEX_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MAXINDEX_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MAXINDEX_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MAXINDEX_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_15MAXINDEX_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MAXINDEX_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MAXINDEX_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MAXINDEX_Stream(real, int timeperiod=-0x80000000)\n\nMAXINDEX(real[, timeperiod=?])\n\nIndex of highest value over a specified period (Math Operators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n integer")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MAXINDEX_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MAXINDEX_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_15MAXINDEX_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MAXINDEX_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MAXINDEX_Stream_spec = { + "talib._ta_lib.MAXINDEX_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MAXINDEX_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MAXINDEX_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MAXINDEX_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MAXINDEX_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MAXINDEX_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MAXINDEX_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MAXINDEX_Stream(real, int timeperiod=-0x80000000)\n\nMAXINDEX(real[, timeperiod=?])\n\nIndex of highest value over a specified period (Math Operators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n integer"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MAXINDEX_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MAXINDEX_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_15MAXINDEX_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MAXINDEX_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MEDPRICE_Stream __pyx_vtable_5talib_7_ta_lib_MEDPRICE_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MEDPRICE_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MEDPRICE_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MEDPRICE_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MEDPRICE_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MEDPRICE_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MEDPRICE_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_15MEDPRICE_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_15MEDPRICE_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_15MEDPRICE_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MEDPRICE_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MEDPRICE_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MEDPRICE_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MEDPRICE_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MEDPRICE_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MEDPRICE_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MEDPRICE_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MEDPRICE_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MEDPRICE_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MEDPRICE_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_15MEDPRICE_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MEDPRICE_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MEDPRICE_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MEDPRICE_Stream(high, low)\n\nMEDPRICE(high, low)\n\nMedian Price (Price Transform)\n\nInputs:\n prices: ['high', 'low']\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MEDPRICE_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MEDPRICE_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_15MEDPRICE_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MEDPRICE_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MEDPRICE_Stream_spec = { + "talib._ta_lib.MEDPRICE_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MEDPRICE_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MEDPRICE_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MEDPRICE_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MEDPRICE_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MEDPRICE_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MEDPRICE_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MEDPRICE_Stream(high, low)\n\nMEDPRICE(high, low)\n\nMedian Price (Price Transform)\n\nInputs:\n prices: ['high', 'low']\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MEDPRICE_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MEDPRICE_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_15MEDPRICE_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MEDPRICE_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MFI_Stream __pyx_vtable_5talib_7_ta_lib_MFI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MFI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MFI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MFI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MFI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MFI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MFI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10MFI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10MFI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10MFI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MFI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10MFI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10MFI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10MFI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10MFI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10MFI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10MFI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10MFI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10MFI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MFI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10MFI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MFI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MFI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MFI_Stream(high, low, close, volume, int timeperiod=-0x80000000)\n\nMFI(high, low, close, volume[, timeperiod=?])\n\nMoney Flow Index (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close', 'volume']\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MFI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MFI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10MFI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MFI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MFI_Stream_spec = { + "talib._ta_lib.MFI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MFI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MFI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MFI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MFI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MFI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MFI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MFI_Stream(high, low, close, volume, int timeperiod=-0x80000000)\n\nMFI(high, low, close, volume[, timeperiod=?])\n\nMoney Flow Index (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close', 'volume']\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MFI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MFI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10MFI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MFI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MIDPOINT_Stream __pyx_vtable_5talib_7_ta_lib_MIDPOINT_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MIDPOINT_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MIDPOINT_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MIDPOINT_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MIDPOINT_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MIDPOINT_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MIDPOINT_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_15MIDPOINT_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_15MIDPOINT_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_15MIDPOINT_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MIDPOINT_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MIDPOINT_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MIDPOINT_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MIDPOINT_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MIDPOINT_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MIDPOINT_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MIDPOINT_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MIDPOINT_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MIDPOINT_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MIDPOINT_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_15MIDPOINT_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MIDPOINT_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MIDPOINT_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MIDPOINT_Stream(real, int timeperiod=-0x80000000)\n\nMIDPOINT(real[, timeperiod=?])\n\nMidPoint over period (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MIDPOINT_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MIDPOINT_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_15MIDPOINT_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MIDPOINT_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MIDPOINT_Stream_spec = { + "talib._ta_lib.MIDPOINT_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MIDPOINT_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MIDPOINT_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MIDPOINT_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MIDPOINT_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MIDPOINT_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MIDPOINT_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MIDPOINT_Stream(real, int timeperiod=-0x80000000)\n\nMIDPOINT(real[, timeperiod=?])\n\nMidPoint over period (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MIDPOINT_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MIDPOINT_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_15MIDPOINT_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MIDPOINT_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MIDPRICE_Stream __pyx_vtable_5talib_7_ta_lib_MIDPRICE_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MIDPRICE_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MIDPRICE_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MIDPRICE_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MIDPRICE_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MIDPRICE_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MIDPRICE_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_15MIDPRICE_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_15MIDPRICE_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_15MIDPRICE_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MIDPRICE_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MIDPRICE_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MIDPRICE_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MIDPRICE_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MIDPRICE_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MIDPRICE_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MIDPRICE_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MIDPRICE_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MIDPRICE_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MIDPRICE_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_15MIDPRICE_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MIDPRICE_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MIDPRICE_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MIDPRICE_Stream(high, low, int timeperiod=-0x80000000)\n\nMIDPRICE(high, low[, timeperiod=?])\n\nMidpoint Price over period (Overlap Studies)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MIDPRICE_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MIDPRICE_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_15MIDPRICE_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MIDPRICE_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MIDPRICE_Stream_spec = { + "talib._ta_lib.MIDPRICE_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MIDPRICE_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MIDPRICE_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MIDPRICE_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MIDPRICE_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MIDPRICE_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MIDPRICE_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MIDPRICE_Stream(high, low, int timeperiod=-0x80000000)\n\nMIDPRICE(high, low[, timeperiod=?])\n\nMidpoint Price over period (Overlap Studies)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MIDPRICE_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MIDPRICE_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_15MIDPRICE_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MIDPRICE_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MIN_Stream __pyx_vtable_5talib_7_ta_lib_MIN_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MIN_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MIN_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MIN_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MIN_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MIN_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MIN_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10MIN_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10MIN_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10MIN_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MIN_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10MIN_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10MIN_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10MIN_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10MIN_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10MIN_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10MIN_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10MIN_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10MIN_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MIN_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10MIN_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MIN_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MIN_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MIN_Stream(real, int timeperiod=-0x80000000)\n\nMIN(real[, timeperiod=?])\n\nLowest value over a specified period (Math Operators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MIN_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MIN_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10MIN_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MIN_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MIN_Stream_spec = { + "talib._ta_lib.MIN_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MIN_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MIN_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MIN_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MIN_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MIN_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MIN_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MIN_Stream(real, int timeperiod=-0x80000000)\n\nMIN(real[, timeperiod=?])\n\nLowest value over a specified period (Math Operators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MIN_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MIN_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10MIN_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MIN_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MININDEX_Stream __pyx_vtable_5talib_7_ta_lib_MININDEX_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MININDEX_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MININDEX_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MININDEX_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MININDEX_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MININDEX_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MININDEX_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_15MININDEX_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_15MININDEX_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_15MININDEX_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MININDEX_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MININDEX_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MININDEX_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MININDEX_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MININDEX_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MININDEX_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MININDEX_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MININDEX_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MININDEX_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MININDEX_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_15MININDEX_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MININDEX_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MININDEX_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MININDEX_Stream(real, int timeperiod=-0x80000000)\n\nMININDEX(real[, timeperiod=?])\n\nIndex of lowest value over a specified period (Math Operators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n integer")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MININDEX_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MININDEX_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_15MININDEX_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MININDEX_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MININDEX_Stream_spec = { + "talib._ta_lib.MININDEX_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MININDEX_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MININDEX_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MININDEX_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MININDEX_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MININDEX_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MININDEX_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MININDEX_Stream(real, int timeperiod=-0x80000000)\n\nMININDEX(real[, timeperiod=?])\n\nIndex of lowest value over a specified period (Math Operators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n integer"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MININDEX_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MININDEX_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_15MININDEX_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MININDEX_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MINMAX_Stream __pyx_vtable_5talib_7_ta_lib_MINMAX_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MINMAX_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MINMAX_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MINMAX_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MINMAX_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MINMAX_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MINMAX_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_13MINMAX_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_13MINMAX_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_13MINMAX_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MINMAX_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13MINMAX_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13MINMAX_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13MINMAX_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13MINMAX_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13MINMAX_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13MINMAX_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13MINMAX_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13MINMAX_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MINMAX_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_13MINMAX_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MINMAX_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MINMAX_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MINMAX_Stream(real, int timeperiod=-0x80000000)\n\nMINMAX(real[, timeperiod=?])\n\nLowest and highest values over a specified period (Math Operators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n min\n max")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MINMAX_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MINMAX_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_13MINMAX_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MINMAX_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MINMAX_Stream_spec = { + "talib._ta_lib.MINMAX_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MINMAX_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MINMAX_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MINMAX_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MINMAX_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MINMAX_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MINMAX_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MINMAX_Stream(real, int timeperiod=-0x80000000)\n\nMINMAX(real[, timeperiod=?])\n\nLowest and highest values over a specified period (Math Operators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n min\n max"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MINMAX_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MINMAX_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_13MINMAX_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MINMAX_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MINMAXINDEX_Stream __pyx_vtable_5talib_7_ta_lib_MINMAXINDEX_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MINMAXINDEX_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MINMAXINDEX_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MINMAXINDEX_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MINMAXINDEX_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MINMAXINDEX_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MINMAXINDEX_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_18MINMAXINDEX_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_18MINMAXINDEX_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_18MINMAXINDEX_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MINMAXINDEX_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18MINMAXINDEX_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18MINMAXINDEX_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18MINMAXINDEX_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18MINMAXINDEX_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18MINMAXINDEX_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18MINMAXINDEX_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18MINMAXINDEX_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18MINMAXINDEX_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MINMAXINDEX_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_18MINMAXINDEX_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MINMAXINDEX_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MINMAXINDEX_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MINMAXINDEX_Stream(real, int timeperiod=-0x80000000)\n\nMINMAXINDEX(real[, timeperiod=?])\n\nIndexes of lowest and highest values over a specified period (Math Operators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n minidx\n maxidx")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MINMAXINDEX_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MINMAXINDEX_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_18MINMAXINDEX_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MINMAXINDEX_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MINMAXINDEX_Stream_spec = { + "talib._ta_lib.MINMAXINDEX_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MINMAXINDEX_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MINMAXINDEX_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MINMAXINDEX_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MINMAXINDEX_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MINMAXINDEX_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MINMAXINDEX_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MINMAXINDEX_Stream(real, int timeperiod=-0x80000000)\n\nMINMAXINDEX(real[, timeperiod=?])\n\nIndexes of lowest and highest values over a specified period (Math Operators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n minidx\n maxidx"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MINMAXINDEX_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MINMAXINDEX_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_18MINMAXINDEX_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MINMAXINDEX_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MINUS_DI_Stream __pyx_vtable_5talib_7_ta_lib_MINUS_DI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MINUS_DI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MINUS_DI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MINUS_DI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MINUS_DI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MINUS_DI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MINUS_DI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_15MINUS_DI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_15MINUS_DI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_15MINUS_DI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MINUS_DI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MINUS_DI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MINUS_DI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MINUS_DI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MINUS_DI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MINUS_DI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MINUS_DI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MINUS_DI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MINUS_DI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MINUS_DI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_15MINUS_DI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MINUS_DI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MINUS_DI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MINUS_DI_Stream(high, low, close, int timeperiod=-0x80000000)\n\nMINUS_DI(high, low, close[, timeperiod=?])\n\nMinus Directional Indicator (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MINUS_DI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MINUS_DI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_15MINUS_DI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MINUS_DI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MINUS_DI_Stream_spec = { + "talib._ta_lib.MINUS_DI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MINUS_DI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MINUS_DI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MINUS_DI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MINUS_DI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MINUS_DI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MINUS_DI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MINUS_DI_Stream(high, low, close, int timeperiod=-0x80000000)\n\nMINUS_DI(high, low, close[, timeperiod=?])\n\nMinus Directional Indicator (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MINUS_DI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MINUS_DI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_15MINUS_DI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MINUS_DI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MINUS_DM_Stream __pyx_vtable_5talib_7_ta_lib_MINUS_DM_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MINUS_DM_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MINUS_DM_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MINUS_DM_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MINUS_DM_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MINUS_DM_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MINUS_DM_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_15MINUS_DM_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_15MINUS_DM_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_15MINUS_DM_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MINUS_DM_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MINUS_DM_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MINUS_DM_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MINUS_DM_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MINUS_DM_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MINUS_DM_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MINUS_DM_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15MINUS_DM_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15MINUS_DM_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MINUS_DM_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_15MINUS_DM_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MINUS_DM_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MINUS_DM_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MINUS_DM_Stream(high, low, int timeperiod=-0x80000000)\n\nMINUS_DM(high, low[, timeperiod=?])\n\nMinus Directional Movement (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MINUS_DM_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MINUS_DM_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_15MINUS_DM_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MINUS_DM_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MINUS_DM_Stream_spec = { + "talib._ta_lib.MINUS_DM_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MINUS_DM_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MINUS_DM_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MINUS_DM_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MINUS_DM_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MINUS_DM_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MINUS_DM_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MINUS_DM_Stream(high, low, int timeperiod=-0x80000000)\n\nMINUS_DM(high, low[, timeperiod=?])\n\nMinus Directional Movement (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MINUS_DM_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MINUS_DM_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_15MINUS_DM_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MINUS_DM_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MOM_Stream __pyx_vtable_5talib_7_ta_lib_MOM_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MOM_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MOM_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MOM_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MOM_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MOM_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MOM_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10MOM_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10MOM_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10MOM_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MOM_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10MOM_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10MOM_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10MOM_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10MOM_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10MOM_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10MOM_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10MOM_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10MOM_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MOM_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10MOM_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MOM_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MOM_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MOM_Stream(real, int timeperiod=-0x80000000)\n\nMOM(real[, timeperiod=?])\n\nMomentum (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 10\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MOM_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MOM_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10MOM_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MOM_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MOM_Stream_spec = { + "talib._ta_lib.MOM_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MOM_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MOM_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MOM_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MOM_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MOM_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MOM_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MOM_Stream(real, int timeperiod=-0x80000000)\n\nMOM(real[, timeperiod=?])\n\nMomentum (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 10\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MOM_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MOM_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10MOM_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MOM_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_MULT_Stream __pyx_vtable_5talib_7_ta_lib_MULT_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_MULT_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_MULT_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_MULT_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_MULT_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_MULT_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_MULT_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11MULT_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11MULT_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11MULT_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_MULT_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11MULT_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11MULT_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11MULT_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11MULT_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11MULT_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11MULT_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11MULT_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11MULT_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_MULT_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11MULT_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_MULT_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_MULT_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("MULT_Stream(real0, real1)\n\nMULT(real0, real1)\n\nVector Arithmetic Mult (Math Operators)\n\nInputs:\n real0: (any ndarray)\n real1: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_MULT_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_MULT_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11MULT_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_MULT_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_MULT_Stream_spec = { + "talib._ta_lib.MULT_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_MULT_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_MULT_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_MULT_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""MULT_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_MULT_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_MULT_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("MULT_Stream(real0, real1)\n\nMULT(real0, real1)\n\nVector Arithmetic Mult (Math Operators)\n\nInputs:\n real0: (any ndarray)\n real1: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_MULT_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_MULT_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11MULT_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_MULT_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_NATR_Stream __pyx_vtable_5talib_7_ta_lib_NATR_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_NATR_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_NATR_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_NATR_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_NATR_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_NATR_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_NATR_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11NATR_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11NATR_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11NATR_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_NATR_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11NATR_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11NATR_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11NATR_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11NATR_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11NATR_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11NATR_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11NATR_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11NATR_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_NATR_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11NATR_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_NATR_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_NATR_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("NATR_Stream(high, low, close, int timeperiod=-0x80000000)\n\nNATR(high, low, close[, timeperiod=?])\n\nNormalized Average True Range (Volatility Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_NATR_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_NATR_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11NATR_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_NATR_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_NATR_Stream_spec = { + "talib._ta_lib.NATR_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_NATR_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_NATR_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_NATR_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""NATR_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_NATR_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_NATR_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("NATR_Stream(high, low, close, int timeperiod=-0x80000000)\n\nNATR(high, low, close[, timeperiod=?])\n\nNormalized Average True Range (Volatility Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_NATR_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_NATR_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11NATR_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_NATR_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_NVI_Stream __pyx_vtable_5talib_7_ta_lib_NVI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_NVI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_NVI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_NVI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_NVI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_NVI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_NVI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10NVI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10NVI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10NVI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_NVI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10NVI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10NVI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10NVI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10NVI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10NVI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10NVI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10NVI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10NVI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_NVI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10NVI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_NVI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_NVI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("NVI_Stream(close, volume)\n\nNVI(close, volume)\n\nNegative Volume Index (Volume Indicators)\n\nInputs:\n prices: ['close', 'volume']\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_NVI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_NVI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10NVI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_NVI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_NVI_Stream_spec = { + "talib._ta_lib.NVI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_NVI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_NVI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_NVI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""NVI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_NVI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_NVI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("NVI_Stream(close, volume)\n\nNVI(close, volume)\n\nNegative Volume Index (Volume Indicators)\n\nInputs:\n prices: ['close', 'volume']\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_NVI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_NVI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10NVI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_NVI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_OBV_Stream __pyx_vtable_5talib_7_ta_lib_OBV_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_OBV_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_OBV_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_OBV_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_OBV_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_OBV_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_OBV_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10OBV_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10OBV_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10OBV_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_OBV_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10OBV_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10OBV_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10OBV_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10OBV_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10OBV_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10OBV_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10OBV_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10OBV_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_OBV_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10OBV_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_OBV_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_OBV_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("OBV_Stream(real, volume)\n\nOBV(real, volume)\n\nOn Balance Volume (Volume Indicators)\n\nInputs:\n real: (any ndarray)\n prices: ['volume']\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_OBV_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_OBV_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10OBV_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_OBV_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_OBV_Stream_spec = { + "talib._ta_lib.OBV_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_OBV_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_OBV_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_OBV_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""OBV_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_OBV_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_OBV_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("OBV_Stream(real, volume)\n\nOBV(real, volume)\n\nOn Balance Volume (Volume Indicators)\n\nInputs:\n real: (any ndarray)\n prices: ['volume']\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_OBV_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_OBV_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10OBV_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_OBV_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_PERCENTILE_Stream __pyx_vtable_5talib_7_ta_lib_PERCENTILE_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_PERCENTILE_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_PERCENTILE_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_PERCENTILE_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_PERCENTILE_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_PERCENTILE_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_PERCENTILE_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_17PERCENTILE_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_17PERCENTILE_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_17PERCENTILE_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_PERCENTILE_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17PERCENTILE_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17PERCENTILE_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17PERCENTILE_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17PERCENTILE_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17PERCENTILE_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17PERCENTILE_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17PERCENTILE_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17PERCENTILE_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_PERCENTILE_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_17PERCENTILE_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_PERCENTILE_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_PERCENTILE_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("PERCENTILE_Stream(real, int timeperiod=-0x80000000, double percentile=50.0)\n\nPERCENTILE(real[, timeperiod=?, percentile=?])\n\nPercentile (nearest rank) (Statistic Functions)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\n percentile: 50.0\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_PERCENTILE_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_PERCENTILE_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_17PERCENTILE_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_PERCENTILE_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_PERCENTILE_Stream_spec = { + "talib._ta_lib.PERCENTILE_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_PERCENTILE_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_PERCENTILE_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_PERCENTILE_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""PERCENTILE_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_PERCENTILE_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_PERCENTILE_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("PERCENTILE_Stream(real, int timeperiod=-0x80000000, double percentile=50.0)\n\nPERCENTILE(real[, timeperiod=?, percentile=?])\n\nPercentile (nearest rank) (Statistic Functions)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\n percentile: 50.0\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_PERCENTILE_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_PERCENTILE_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_17PERCENTILE_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_PERCENTILE_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_PERCENTRANK_Stream __pyx_vtable_5talib_7_ta_lib_PERCENTRANK_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_PERCENTRANK_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_PERCENTRANK_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_PERCENTRANK_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_PERCENTRANK_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_PERCENTRANK_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_PERCENTRANK_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_18PERCENTRANK_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_18PERCENTRANK_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_18PERCENTRANK_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_PERCENTRANK_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18PERCENTRANK_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18PERCENTRANK_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18PERCENTRANK_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18PERCENTRANK_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18PERCENTRANK_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18PERCENTRANK_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_18PERCENTRANK_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_18PERCENTRANK_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_PERCENTRANK_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_18PERCENTRANK_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_PERCENTRANK_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_PERCENTRANK_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("PERCENTRANK_Stream(real, int timeperiod=-0x80000000)\n\nPERCENTRANK(real[, timeperiod=?])\n\nPercent Rank (Statistic Functions)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 100\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_PERCENTRANK_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_PERCENTRANK_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_18PERCENTRANK_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_PERCENTRANK_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_PERCENTRANK_Stream_spec = { + "talib._ta_lib.PERCENTRANK_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_PERCENTRANK_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_PERCENTRANK_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_PERCENTRANK_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""PERCENTRANK_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_PERCENTRANK_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_PERCENTRANK_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("PERCENTRANK_Stream(real, int timeperiod=-0x80000000)\n\nPERCENTRANK(real[, timeperiod=?])\n\nPercent Rank (Statistic Functions)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 100\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_PERCENTRANK_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_PERCENTRANK_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_18PERCENTRANK_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_PERCENTRANK_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_PLUS_DI_Stream __pyx_vtable_5talib_7_ta_lib_PLUS_DI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_PLUS_DI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_PLUS_DI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_PLUS_DI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_PLUS_DI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_PLUS_DI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_PLUS_DI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_14PLUS_DI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_14PLUS_DI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_14PLUS_DI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_PLUS_DI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14PLUS_DI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14PLUS_DI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14PLUS_DI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14PLUS_DI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14PLUS_DI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14PLUS_DI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14PLUS_DI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14PLUS_DI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_PLUS_DI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_14PLUS_DI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_PLUS_DI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_PLUS_DI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("PLUS_DI_Stream(high, low, close, int timeperiod=-0x80000000)\n\nPLUS_DI(high, low, close[, timeperiod=?])\n\nPlus Directional Indicator (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_PLUS_DI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_PLUS_DI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_14PLUS_DI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_PLUS_DI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_PLUS_DI_Stream_spec = { + "talib._ta_lib.PLUS_DI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_PLUS_DI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_PLUS_DI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_PLUS_DI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""PLUS_DI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_PLUS_DI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_PLUS_DI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("PLUS_DI_Stream(high, low, close, int timeperiod=-0x80000000)\n\nPLUS_DI(high, low, close[, timeperiod=?])\n\nPlus Directional Indicator (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_PLUS_DI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_PLUS_DI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_14PLUS_DI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_PLUS_DI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_PLUS_DM_Stream __pyx_vtable_5talib_7_ta_lib_PLUS_DM_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_PLUS_DM_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_PLUS_DM_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_PLUS_DM_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_PLUS_DM_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_PLUS_DM_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_PLUS_DM_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_14PLUS_DM_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_14PLUS_DM_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_14PLUS_DM_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_PLUS_DM_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14PLUS_DM_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14PLUS_DM_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14PLUS_DM_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14PLUS_DM_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14PLUS_DM_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14PLUS_DM_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14PLUS_DM_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14PLUS_DM_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_PLUS_DM_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_14PLUS_DM_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_PLUS_DM_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_PLUS_DM_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("PLUS_DM_Stream(high, low, int timeperiod=-0x80000000)\n\nPLUS_DM(high, low[, timeperiod=?])\n\nPlus Directional Movement (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_PLUS_DM_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_PLUS_DM_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_14PLUS_DM_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_PLUS_DM_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_PLUS_DM_Stream_spec = { + "talib._ta_lib.PLUS_DM_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_PLUS_DM_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_PLUS_DM_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_PLUS_DM_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""PLUS_DM_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_PLUS_DM_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_PLUS_DM_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("PLUS_DM_Stream(high, low, int timeperiod=-0x80000000)\n\nPLUS_DM(high, low[, timeperiod=?])\n\nPlus Directional Movement (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_PLUS_DM_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_PLUS_DM_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_14PLUS_DM_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_PLUS_DM_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_PPO_Stream __pyx_vtable_5talib_7_ta_lib_PPO_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_PPO_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_PPO_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_PPO_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_PPO_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_PPO_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_PPO_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10PPO_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10PPO_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10PPO_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_PPO_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10PPO_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10PPO_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10PPO_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10PPO_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10PPO_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10PPO_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10PPO_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10PPO_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_PPO_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10PPO_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_PPO_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_PPO_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("PPO_Stream(real, int fastperiod=-0x80000000, int slowperiod=-0x80000000, int matype=1)\n\nPPO(real[, fastperiod=?, slowperiod=?, matype=?])\n\nPercentage Price Oscillator (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n fastperiod: 12\n slowperiod: 26\n matype: 1 (Exponential Moving Average)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_PPO_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_PPO_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10PPO_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_PPO_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_PPO_Stream_spec = { + "talib._ta_lib.PPO_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_PPO_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_PPO_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_PPO_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""PPO_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_PPO_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_PPO_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("PPO_Stream(real, int fastperiod=-0x80000000, int slowperiod=-0x80000000, int matype=1)\n\nPPO(real[, fastperiod=?, slowperiod=?, matype=?])\n\nPercentage Price Oscillator (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n fastperiod: 12\n slowperiod: 26\n matype: 1 (Exponential Moving Average)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_PPO_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_PPO_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10PPO_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_PPO_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_PVI_Stream __pyx_vtable_5talib_7_ta_lib_PVI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_PVI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_PVI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_PVI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_PVI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_PVI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_PVI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10PVI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10PVI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10PVI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_PVI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10PVI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10PVI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10PVI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10PVI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10PVI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10PVI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10PVI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10PVI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_PVI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10PVI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_PVI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_PVI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("PVI_Stream(close, volume)\n\nPVI(close, volume)\n\nPositive Volume Index (Volume Indicators)\n\nInputs:\n prices: ['close', 'volume']\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_PVI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_PVI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10PVI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_PVI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_PVI_Stream_spec = { + "talib._ta_lib.PVI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_PVI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_PVI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_PVI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""PVI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_PVI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_PVI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("PVI_Stream(close, volume)\n\nPVI(close, volume)\n\nPositive Volume Index (Volume Indicators)\n\nInputs:\n prices: ['close', 'volume']\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_PVI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_PVI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10PVI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_PVI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_PVO_Stream __pyx_vtable_5talib_7_ta_lib_PVO_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_PVO_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_PVO_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_PVO_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_PVO_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_PVO_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_PVO_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10PVO_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10PVO_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10PVO_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_PVO_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10PVO_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10PVO_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10PVO_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10PVO_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10PVO_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10PVO_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10PVO_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10PVO_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_PVO_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10PVO_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_PVO_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_PVO_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("PVO_Stream(volume, int fastperiod=-0x80000000, int slowperiod=-0x80000000, int matype=1)\n\nPVO(volume[, fastperiod=?, slowperiod=?, matype=?])\n\nPercentage Volume Oscillator (Volume Indicators)\n\nInputs:\n prices: ['volume']\nParameters:\n fastperiod: 12\n slowperiod: 26\n matype: 1 (Exponential Moving Average)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_PVO_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_PVO_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10PVO_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_PVO_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_PVO_Stream_spec = { + "talib._ta_lib.PVO_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_PVO_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_PVO_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_PVO_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""PVO_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_PVO_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_PVO_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("PVO_Stream(volume, int fastperiod=-0x80000000, int slowperiod=-0x80000000, int matype=1)\n\nPVO(volume[, fastperiod=?, slowperiod=?, matype=?])\n\nPercentage Volume Oscillator (Volume Indicators)\n\nInputs:\n prices: ['volume']\nParameters:\n fastperiod: 12\n slowperiod: 26\n matype: 1 (Exponential Moving Average)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_PVO_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_PVO_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10PVO_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_PVO_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_PVT_Stream __pyx_vtable_5talib_7_ta_lib_PVT_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_PVT_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_PVT_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_PVT_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_PVT_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_PVT_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_PVT_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10PVT_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10PVT_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10PVT_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_PVT_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10PVT_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10PVT_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10PVT_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10PVT_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10PVT_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10PVT_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10PVT_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10PVT_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_PVT_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10PVT_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_PVT_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_PVT_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("PVT_Stream(close, volume)\n\nPVT(close, volume)\n\nPrice Volume Trend (Volume Indicators)\n\nInputs:\n prices: ['close', 'volume']\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_PVT_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_PVT_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10PVT_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_PVT_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_PVT_Stream_spec = { + "talib._ta_lib.PVT_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_PVT_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_PVT_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_PVT_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""PVT_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_PVT_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_PVT_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("PVT_Stream(close, volume)\n\nPVT(close, volume)\n\nPrice Volume Trend (Volume Indicators)\n\nInputs:\n prices: ['close', 'volume']\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_PVT_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_PVT_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10PVT_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_PVT_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_QSTICK_Stream __pyx_vtable_5talib_7_ta_lib_QSTICK_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_QSTICK_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_QSTICK_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_QSTICK_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_QSTICK_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_QSTICK_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_QSTICK_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_13QSTICK_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_13QSTICK_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_13QSTICK_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_QSTICK_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13QSTICK_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13QSTICK_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13QSTICK_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13QSTICK_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13QSTICK_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13QSTICK_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13QSTICK_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13QSTICK_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_QSTICK_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_13QSTICK_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_QSTICK_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_QSTICK_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("QSTICK_Stream(open, close, int timeperiod=-0x80000000)\n\nQSTICK(open, close[, timeperiod=?])\n\nQstick (Momentum Indicators)\n\nInputs:\n prices: ['open', 'close']\nParameters:\n timeperiod: 10\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_QSTICK_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_QSTICK_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_13QSTICK_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_QSTICK_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_QSTICK_Stream_spec = { + "talib._ta_lib.QSTICK_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_QSTICK_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_QSTICK_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_QSTICK_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""QSTICK_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_QSTICK_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_QSTICK_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("QSTICK_Stream(open, close, int timeperiod=-0x80000000)\n\nQSTICK(open, close[, timeperiod=?])\n\nQstick (Momentum Indicators)\n\nInputs:\n prices: ['open', 'close']\nParameters:\n timeperiod: 10\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_QSTICK_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_QSTICK_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_13QSTICK_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_QSTICK_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_RMA_Stream __pyx_vtable_5talib_7_ta_lib_RMA_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_RMA_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_RMA_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_RMA_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_RMA_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_RMA_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_RMA_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10RMA_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10RMA_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10RMA_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_RMA_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10RMA_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10RMA_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10RMA_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10RMA_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10RMA_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10RMA_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10RMA_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10RMA_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_RMA_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10RMA_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_RMA_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_RMA_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("RMA_Stream(real, int timeperiod=-0x80000000)\n\nRMA(real[, timeperiod=?])\n\nWilder's Smoothed Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_RMA_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_RMA_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10RMA_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_RMA_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_RMA_Stream_spec = { + "talib._ta_lib.RMA_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_RMA_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_RMA_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_RMA_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""RMA_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_RMA_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_RMA_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("RMA_Stream(real, int timeperiod=-0x80000000)\n\nRMA(real[, timeperiod=?])\n\nWilder's Smoothed Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_RMA_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_RMA_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10RMA_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_RMA_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_ROC_Stream __pyx_vtable_5talib_7_ta_lib_ROC_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ROC_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_ROC_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_ROC_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_ROC_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_ROC_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_ROC_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10ROC_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10ROC_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10ROC_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_ROC_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ROC_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ROC_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ROC_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ROC_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ROC_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ROC_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10ROC_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10ROC_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_ROC_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10ROC_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_ROC_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_ROC_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("ROC_Stream(real, int timeperiod=-0x80000000)\n\nROC(real[, timeperiod=?])\n\nRate of change : ((real/prevPrice)-1)*100 (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 10\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_ROC_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_ROC_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10ROC_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_ROC_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_ROC_Stream_spec = { + "talib._ta_lib.ROC_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_ROC_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_ROC_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_ROC_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""ROC_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_ROC_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_ROC_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("ROC_Stream(real, int timeperiod=-0x80000000)\n\nROC(real[, timeperiod=?])\n\nRate of change : ((real/prevPrice)-1)*100 (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 10\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_ROC_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_ROC_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10ROC_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_ROC_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_ROCP_Stream __pyx_vtable_5talib_7_ta_lib_ROCP_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ROCP_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_ROCP_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_ROCP_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_ROCP_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_ROCP_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_ROCP_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11ROCP_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11ROCP_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11ROCP_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_ROCP_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ROCP_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ROCP_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ROCP_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ROCP_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ROCP_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ROCP_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ROCP_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ROCP_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_ROCP_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11ROCP_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_ROCP_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_ROCP_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("ROCP_Stream(real, int timeperiod=-0x80000000)\n\nROCP(real[, timeperiod=?])\n\nRate of change Percentage: (real-prevPrice)/prevPrice (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 10\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_ROCP_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_ROCP_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11ROCP_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_ROCP_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_ROCP_Stream_spec = { + "talib._ta_lib.ROCP_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_ROCP_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_ROCP_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_ROCP_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""ROCP_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_ROCP_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_ROCP_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("ROCP_Stream(real, int timeperiod=-0x80000000)\n\nROCP(real[, timeperiod=?])\n\nRate of change Percentage: (real-prevPrice)/prevPrice (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 10\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_ROCP_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_ROCP_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11ROCP_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_ROCP_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_ROCR_Stream __pyx_vtable_5talib_7_ta_lib_ROCR_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ROCR_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_ROCR_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_ROCR_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_ROCR_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_ROCR_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_ROCR_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11ROCR_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11ROCR_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11ROCR_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_ROCR_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ROCR_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ROCR_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ROCR_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ROCR_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ROCR_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ROCR_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11ROCR_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11ROCR_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_ROCR_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11ROCR_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_ROCR_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_ROCR_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("ROCR_Stream(real, int timeperiod=-0x80000000)\n\nROCR(real[, timeperiod=?])\n\nRate of change ratio: (real/prevPrice) (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 10\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_ROCR_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_ROCR_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11ROCR_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_ROCR_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_ROCR_Stream_spec = { + "talib._ta_lib.ROCR_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_ROCR_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_ROCR_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_ROCR_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""ROCR_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_ROCR_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_ROCR_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("ROCR_Stream(real, int timeperiod=-0x80000000)\n\nROCR(real[, timeperiod=?])\n\nRate of change ratio: (real/prevPrice) (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 10\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_ROCR_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_ROCR_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11ROCR_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_ROCR_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_ROCR100_Stream __pyx_vtable_5talib_7_ta_lib_ROCR100_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ROCR100_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_ROCR100_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_ROCR100_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_ROCR100_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_ROCR100_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_ROCR100_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_14ROCR100_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_14ROCR100_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_14ROCR100_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_ROCR100_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14ROCR100_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14ROCR100_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14ROCR100_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14ROCR100_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14ROCR100_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14ROCR100_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_14ROCR100_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_14ROCR100_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_ROCR100_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_14ROCR100_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_ROCR100_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_ROCR100_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("ROCR100_Stream(real, int timeperiod=-0x80000000)\n\nROCR100(real[, timeperiod=?])\n\nRate of change ratio 100 scale: (real/prevPrice)*100 (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 10\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_ROCR100_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_ROCR100_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_14ROCR100_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_ROCR100_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_ROCR100_Stream_spec = { + "talib._ta_lib.ROCR100_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_ROCR100_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_ROCR100_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_ROCR100_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""ROCR100_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_ROCR100_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_ROCR100_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("ROCR100_Stream(real, int timeperiod=-0x80000000)\n\nROCR100(real[, timeperiod=?])\n\nRate of change ratio 100 scale: (real/prevPrice)*100 (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 10\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_ROCR100_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_ROCR100_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_14ROCR100_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_ROCR100_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_RSI_Stream __pyx_vtable_5talib_7_ta_lib_RSI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_RSI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_RSI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_RSI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_RSI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_RSI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_RSI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10RSI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10RSI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10RSI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_RSI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10RSI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10RSI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10RSI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10RSI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10RSI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10RSI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10RSI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10RSI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_RSI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10RSI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_RSI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_RSI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("RSI_Stream(real, int timeperiod=-0x80000000)\n\nRSI(real[, timeperiod=?])\n\nRelative Strength Index (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_RSI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_RSI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10RSI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_RSI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_RSI_Stream_spec = { + "talib._ta_lib.RSI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_RSI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_RSI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_RSI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""RSI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_RSI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_RSI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("RSI_Stream(real, int timeperiod=-0x80000000)\n\nRSI(real[, timeperiod=?])\n\nRelative Strength Index (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_RSI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_RSI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10RSI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_RSI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_RVI_Stream __pyx_vtable_5talib_7_ta_lib_RVI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_RVI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_RVI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_RVI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_RVI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_RVI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_RVI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10RVI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10RVI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10RVI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_RVI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10RVI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10RVI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10RVI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10RVI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10RVI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10RVI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10RVI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10RVI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_RVI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10RVI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_RVI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_RVI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("RVI_Stream(real, int timeperiod=-0x80000000, int stddevperiod=-0x80000000)\n\nRVI(real[, timeperiod=?, stddevperiod=?])\n\nRelative Volatility Index (Volatility Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\n stddevperiod: 10\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_RVI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_RVI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10RVI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_RVI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_RVI_Stream_spec = { + "talib._ta_lib.RVI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_RVI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_RVI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_RVI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""RVI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_RVI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_RVI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("RVI_Stream(real, int timeperiod=-0x80000000, int stddevperiod=-0x80000000)\n\nRVI(real[, timeperiod=?, stddevperiod=?])\n\nRelative Volatility Index (Volatility Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\n stddevperiod: 10\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_RVI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_RVI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10RVI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_RVI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_RVOL_Stream __pyx_vtable_5talib_7_ta_lib_RVOL_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_RVOL_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_RVOL_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_RVOL_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_RVOL_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_RVOL_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_RVOL_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11RVOL_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11RVOL_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11RVOL_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_RVOL_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11RVOL_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11RVOL_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11RVOL_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11RVOL_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11RVOL_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11RVOL_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11RVOL_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11RVOL_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_RVOL_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11RVOL_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_RVOL_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_RVOL_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("RVOL_Stream(volume, int timeperiod=-0x80000000)\n\nRVOL(volume[, timeperiod=?])\n\nRelative Volume (Volume Indicators)\n\nInputs:\n prices: ['volume']\nParameters:\n timeperiod: 20\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_RVOL_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_RVOL_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11RVOL_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_RVOL_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_RVOL_Stream_spec = { + "talib._ta_lib.RVOL_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_RVOL_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_RVOL_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_RVOL_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""RVOL_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_RVOL_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_RVOL_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("RVOL_Stream(volume, int timeperiod=-0x80000000)\n\nRVOL(volume[, timeperiod=?])\n\nRelative Volume (Volume Indicators)\n\nInputs:\n prices: ['volume']\nParameters:\n timeperiod: 20\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_RVOL_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_RVOL_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11RVOL_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_RVOL_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_SAR_Stream __pyx_vtable_5talib_7_ta_lib_SAR_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_SAR_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_SAR_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_SAR_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_SAR_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_SAR_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_SAR_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10SAR_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10SAR_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10SAR_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_SAR_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SAR_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SAR_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SAR_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SAR_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SAR_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SAR_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SAR_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SAR_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_SAR_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10SAR_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_SAR_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_SAR_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("SAR_Stream(high, low, double acceleration=0.02, double maximum=0.2)\n\nSAR(high, low[, acceleration=?, maximum=?])\n\nParabolic SAR (Overlap Studies)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n acceleration: 0.02\n maximum: 0.2\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_SAR_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_SAR_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10SAR_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_SAR_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_SAR_Stream_spec = { + "talib._ta_lib.SAR_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_SAR_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_SAR_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_SAR_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""SAR_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_SAR_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_SAR_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("SAR_Stream(high, low, double acceleration=0.02, double maximum=0.2)\n\nSAR(high, low[, acceleration=?, maximum=?])\n\nParabolic SAR (Overlap Studies)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n acceleration: 0.02\n maximum: 0.2\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_SAR_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_SAR_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10SAR_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_SAR_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_SAREXT_Stream __pyx_vtable_5talib_7_ta_lib_SAREXT_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_SAREXT_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_SAREXT_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_SAREXT_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_SAREXT_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_SAREXT_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_SAREXT_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_13SAREXT_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_13SAREXT_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_13SAREXT_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_SAREXT_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13SAREXT_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13SAREXT_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13SAREXT_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13SAREXT_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13SAREXT_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13SAREXT_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13SAREXT_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13SAREXT_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_SAREXT_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_13SAREXT_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_SAREXT_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_SAREXT_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("SAREXT_Stream(high, low, double startvalue=-4e37, double offsetonreverse=-4e37, double accelerationinitlong=-4e37, double accelerationlong=-4e37, double accelerationmaxlong=-4e37, double accelerationinitshort=-4e37, double accelerationshort=-4e37, double accelerationmaxshort=-4e37)\n\nSAREXT(high, low[, startvalue=?, offsetonreverse=?, accelerationinitlong=?, accelerationlong=?, accelerationmaxlong=?, accelerationinitshort=?, accelerationshort=?, accelerationmaxshort=?])\n\nParabolic SAR - Extended (Overlap Studies)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n startvalue: 0.0\n offsetonreverse: 0.0\n accelerationinitlong: 0.02\n accelerationlong: 0.02\n accelerationmaxlong: 0.2\n accelerationinitshort: 0.02\n accelerationshort: 0.02\n accelerationmaxshort: 0.2\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_SAREXT_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_SAREXT_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_13SAREXT_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_SAREXT_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_SAREXT_Stream_spec = { + "talib._ta_lib.SAREXT_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_SAREXT_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_SAREXT_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_SAREXT_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""SAREXT_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_SAREXT_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_SAREXT_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("SAREXT_Stream(high, low, double startvalue=-4e37, double offsetonreverse=-4e37, double accelerationinitlong=-4e37, double accelerationlong=-4e37, double accelerationmaxlong=-4e37, double accelerationinitshort=-4e37, double accelerationshort=-4e37, double accelerationmaxshort=-4e37)\n\nSAREXT(high, low[, startvalue=?, offsetonreverse=?, accelerationinitlong=?, accelerationlong=?, accelerationmaxlong=?, accelerationinitshort=?, accelerationshort=?, accelerationmaxshort=?])\n\nParabolic SAR - Extended (Overlap Studies)\n\nInputs:\n prices: ['high', 'low']\nParameters:\n startvalue: 0.0\n offsetonreverse: 0.0\n accelerationinitlong: 0.02\n accelerationlong: 0.02\n accelerationmaxlong: 0.2\n accelerationinitshort: 0.02\n accelerationshort: 0.02\n accelerationmaxshort: 0.2\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_SAREXT_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_SAREXT_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_13SAREXT_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_SAREXT_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_SIN_Stream __pyx_vtable_5talib_7_ta_lib_SIN_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_SIN_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_SIN_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_SIN_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_SIN_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_SIN_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_SIN_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10SIN_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10SIN_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10SIN_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_SIN_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SIN_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SIN_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SIN_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SIN_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SIN_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SIN_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SIN_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SIN_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_SIN_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10SIN_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_SIN_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_SIN_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("SIN_Stream(real)\n\nSIN(real)\n\nVector Trigonometric Sin (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_SIN_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_SIN_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10SIN_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_SIN_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_SIN_Stream_spec = { + "talib._ta_lib.SIN_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_SIN_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_SIN_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_SIN_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""SIN_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_SIN_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_SIN_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("SIN_Stream(real)\n\nSIN(real)\n\nVector Trigonometric Sin (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_SIN_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_SIN_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10SIN_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_SIN_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_SINH_Stream __pyx_vtable_5talib_7_ta_lib_SINH_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_SINH_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_SINH_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_SINH_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_SINH_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_SINH_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_SINH_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11SINH_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11SINH_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11SINH_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_SINH_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11SINH_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11SINH_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11SINH_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11SINH_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11SINH_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11SINH_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11SINH_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11SINH_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_SINH_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11SINH_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_SINH_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_SINH_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("SINH_Stream(real)\n\nSINH(real)\n\nVector Trigonometric Sinh (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_SINH_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_SINH_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11SINH_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_SINH_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_SINH_Stream_spec = { + "talib._ta_lib.SINH_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_SINH_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_SINH_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_SINH_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""SINH_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_SINH_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_SINH_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("SINH_Stream(real)\n\nSINH(real)\n\nVector Trigonometric Sinh (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_SINH_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_SINH_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11SINH_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_SINH_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_SMA_Stream __pyx_vtable_5talib_7_ta_lib_SMA_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_SMA_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_SMA_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_SMA_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_SMA_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_SMA_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_SMA_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10SMA_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10SMA_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10SMA_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_SMA_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SMA_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SMA_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SMA_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SMA_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SMA_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SMA_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SMA_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SMA_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_SMA_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10SMA_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_SMA_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_SMA_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("SMA_Stream(real, int timeperiod=-0x80000000)\n\nSMA(real[, timeperiod=?])\n\nSimple Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_SMA_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_SMA_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10SMA_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_SMA_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_SMA_Stream_spec = { + "talib._ta_lib.SMA_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_SMA_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_SMA_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_SMA_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""SMA_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_SMA_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_SMA_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("SMA_Stream(real, int timeperiod=-0x80000000)\n\nSMA(real[, timeperiod=?])\n\nSimple Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_SMA_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_SMA_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10SMA_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_SMA_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_SMI_Stream __pyx_vtable_5talib_7_ta_lib_SMI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_SMI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_SMI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_SMI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_SMI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_SMI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_SMI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10SMI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10SMI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10SMI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_SMI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SMI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SMI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SMI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SMI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SMI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SMI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SMI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SMI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_SMI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10SMI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_SMI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_SMI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("SMI_Stream(high, low, close, int timeperiod=-0x80000000, int fastperiod=-0x80000000, int slowperiod=-0x80000000, int signalperiod=-0x80000000)\n\nSMI(high, low, close[, timeperiod=?, fastperiod=?, slowperiod=?, signalperiod=?])\n\nStochastic Momentum Index (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 13\n fastperiod: 2\n slowperiod: 25\n signalperiod: 9\nOutputs:\n smi\n smisignal")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_SMI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_SMI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10SMI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_SMI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_SMI_Stream_spec = { + "talib._ta_lib.SMI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_SMI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_SMI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_SMI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""SMI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_SMI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_SMI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("SMI_Stream(high, low, close, int timeperiod=-0x80000000, int fastperiod=-0x80000000, int slowperiod=-0x80000000, int signalperiod=-0x80000000)\n\nSMI(high, low, close[, timeperiod=?, fastperiod=?, slowperiod=?, signalperiod=?])\n\nStochastic Momentum Index (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 13\n fastperiod: 2\n slowperiod: 25\n signalperiod: 9\nOutputs:\n smi\n smisignal"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_SMI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_SMI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10SMI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_SMI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_SQRT_Stream __pyx_vtable_5talib_7_ta_lib_SQRT_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_SQRT_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_SQRT_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_SQRT_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_SQRT_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_SQRT_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_SQRT_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11SQRT_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11SQRT_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11SQRT_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_SQRT_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11SQRT_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11SQRT_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11SQRT_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11SQRT_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11SQRT_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11SQRT_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11SQRT_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11SQRT_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_SQRT_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11SQRT_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_SQRT_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_SQRT_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("SQRT_Stream(real)\n\nSQRT(real)\n\nVector Square Root (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_SQRT_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_SQRT_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11SQRT_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_SQRT_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_SQRT_Stream_spec = { + "talib._ta_lib.SQRT_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_SQRT_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_SQRT_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_SQRT_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""SQRT_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_SQRT_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_SQRT_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("SQRT_Stream(real)\n\nSQRT(real)\n\nVector Square Root (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_SQRT_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_SQRT_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11SQRT_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_SQRT_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_STDDEV_Stream __pyx_vtable_5talib_7_ta_lib_STDDEV_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_STDDEV_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_STDDEV_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_STDDEV_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_STDDEV_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_STDDEV_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_STDDEV_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_13STDDEV_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_13STDDEV_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_13STDDEV_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_STDDEV_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13STDDEV_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13STDDEV_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13STDDEV_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13STDDEV_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13STDDEV_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13STDDEV_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13STDDEV_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13STDDEV_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_STDDEV_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_13STDDEV_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_STDDEV_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_STDDEV_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("STDDEV_Stream(real, int timeperiod=-0x80000000, double nbdev=-4e37)\n\nSTDDEV(real[, timeperiod=?, nbdev=?])\n\nStandard Deviation (Statistic Functions)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 5\n nbdev: 1.0\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_STDDEV_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_STDDEV_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_13STDDEV_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_STDDEV_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_STDDEV_Stream_spec = { + "talib._ta_lib.STDDEV_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_STDDEV_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_STDDEV_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_STDDEV_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""STDDEV_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_STDDEV_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_STDDEV_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("STDDEV_Stream(real, int timeperiod=-0x80000000, double nbdev=-4e37)\n\nSTDDEV(real[, timeperiod=?, nbdev=?])\n\nStandard Deviation (Statistic Functions)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 5\n nbdev: 1.0\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_STDDEV_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_STDDEV_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_13STDDEV_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_STDDEV_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_STOCH_Stream __pyx_vtable_5talib_7_ta_lib_STOCH_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_STOCH_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_STOCH_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_STOCH_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_STOCH_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_STOCH_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_STOCH_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_12STOCH_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_12STOCH_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_12STOCH_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_STOCH_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12STOCH_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12STOCH_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12STOCH_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12STOCH_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12STOCH_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12STOCH_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12STOCH_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12STOCH_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_STOCH_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_12STOCH_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_STOCH_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_STOCH_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("STOCH_Stream(high, low, close, int fastk_period=-0x80000000, int slowk_period=-0x80000000, int slowk_matype=0, int slowd_period=-0x80000000, int slowd_matype=0)\n\nSTOCH(high, low, close[, fastk_period=?, slowk_period=?, slowk_matype=?, slowd_period=?, slowd_matype=?])\n\nStochastic (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n fastk_period: 5\n slowk_period: 3\n slowk_matype: 0 (Simple Moving Average)\n slowd_period: 3\n slowd_matype: 0 (Simple Moving Average)\nOutputs:\n slowk\n slowd")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_STOCH_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_STOCH_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_12STOCH_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_STOCH_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_STOCH_Stream_spec = { + "talib._ta_lib.STOCH_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_STOCH_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_STOCH_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_STOCH_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""STOCH_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_STOCH_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_STOCH_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("STOCH_Stream(high, low, close, int fastk_period=-0x80000000, int slowk_period=-0x80000000, int slowk_matype=0, int slowd_period=-0x80000000, int slowd_matype=0)\n\nSTOCH(high, low, close[, fastk_period=?, slowk_period=?, slowk_matype=?, slowd_period=?, slowd_matype=?])\n\nStochastic (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n fastk_period: 5\n slowk_period: 3\n slowk_matype: 0 (Simple Moving Average)\n slowd_period: 3\n slowd_matype: 0 (Simple Moving Average)\nOutputs:\n slowk\n slowd"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_STOCH_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_STOCH_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_12STOCH_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_STOCH_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_STOCHF_Stream __pyx_vtable_5talib_7_ta_lib_STOCHF_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_STOCHF_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_STOCHF_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_STOCHF_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_STOCHF_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_STOCHF_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_STOCHF_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_13STOCHF_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_13STOCHF_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_13STOCHF_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_STOCHF_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13STOCHF_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13STOCHF_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13STOCHF_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13STOCHF_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13STOCHF_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13STOCHF_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13STOCHF_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13STOCHF_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_STOCHF_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_13STOCHF_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_STOCHF_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_STOCHF_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("STOCHF_Stream(high, low, close, int fastk_period=-0x80000000, int fastd_period=-0x80000000, int fastd_matype=0)\n\nSTOCHF(high, low, close[, fastk_period=?, fastd_period=?, fastd_matype=?])\n\nStochastic Fast (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n fastk_period: 5\n fastd_period: 3\n fastd_matype: 0 (Simple Moving Average)\nOutputs:\n fastk\n fastd")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_STOCHF_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_STOCHF_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_13STOCHF_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_STOCHF_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_STOCHF_Stream_spec = { + "talib._ta_lib.STOCHF_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_STOCHF_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_STOCHF_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_STOCHF_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""STOCHF_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_STOCHF_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_STOCHF_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("STOCHF_Stream(high, low, close, int fastk_period=-0x80000000, int fastd_period=-0x80000000, int fastd_matype=0)\n\nSTOCHF(high, low, close[, fastk_period=?, fastd_period=?, fastd_matype=?])\n\nStochastic Fast (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n fastk_period: 5\n fastd_period: 3\n fastd_matype: 0 (Simple Moving Average)\nOutputs:\n fastk\n fastd"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_STOCHF_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_STOCHF_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_13STOCHF_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_STOCHF_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_STOCHRSI_Stream __pyx_vtable_5talib_7_ta_lib_STOCHRSI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_STOCHRSI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_STOCHRSI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_STOCHRSI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_STOCHRSI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_STOCHRSI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_STOCHRSI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_15STOCHRSI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_15STOCHRSI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_15STOCHRSI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_STOCHRSI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15STOCHRSI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15STOCHRSI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15STOCHRSI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15STOCHRSI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15STOCHRSI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15STOCHRSI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15STOCHRSI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15STOCHRSI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_STOCHRSI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_15STOCHRSI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_STOCHRSI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_STOCHRSI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("STOCHRSI_Stream(real, int timeperiod=-0x80000000, int fastk_period=-0x80000000, int fastd_period=-0x80000000, int fastd_matype=0)\n\nSTOCHRSI(real[, timeperiod=?, fastk_period=?, fastd_period=?, fastd_matype=?])\n\nStochastic Relative Strength Index (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\n fastk_period: 5\n fastd_period: 3\n fastd_matype: 0 (Simple Moving Average)\nOutputs:\n fastk\n fastd")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_STOCHRSI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_STOCHRSI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_15STOCHRSI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_STOCHRSI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_STOCHRSI_Stream_spec = { + "talib._ta_lib.STOCHRSI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_STOCHRSI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_STOCHRSI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_STOCHRSI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""STOCHRSI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_STOCHRSI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_STOCHRSI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("STOCHRSI_Stream(real, int timeperiod=-0x80000000, int fastk_period=-0x80000000, int fastd_period=-0x80000000, int fastd_matype=0)\n\nSTOCHRSI(real[, timeperiod=?, fastk_period=?, fastd_period=?, fastd_matype=?])\n\nStochastic Relative Strength Index (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\n fastk_period: 5\n fastd_period: 3\n fastd_matype: 0 (Simple Moving Average)\nOutputs:\n fastk\n fastd"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_STOCHRSI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_STOCHRSI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_15STOCHRSI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_STOCHRSI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_SUB_Stream __pyx_vtable_5talib_7_ta_lib_SUB_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_SUB_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_SUB_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_SUB_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_SUB_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_SUB_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_SUB_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10SUB_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10SUB_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10SUB_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_SUB_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SUB_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SUB_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SUB_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SUB_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SUB_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SUB_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SUB_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SUB_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_SUB_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10SUB_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_SUB_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_SUB_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("SUB_Stream(real0, real1)\n\nSUB(real0, real1)\n\nVector Arithmetic Subtraction (Math Operators)\n\nInputs:\n real0: (any ndarray)\n real1: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_SUB_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_SUB_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10SUB_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_SUB_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_SUB_Stream_spec = { + "talib._ta_lib.SUB_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_SUB_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_SUB_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_SUB_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""SUB_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_SUB_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_SUB_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("SUB_Stream(real0, real1)\n\nSUB(real0, real1)\n\nVector Arithmetic Subtraction (Math Operators)\n\nInputs:\n real0: (any ndarray)\n real1: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_SUB_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_SUB_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10SUB_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_SUB_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_SUM_Stream __pyx_vtable_5talib_7_ta_lib_SUM_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_SUM_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_SUM_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_SUM_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_SUM_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_SUM_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_SUM_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10SUM_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10SUM_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10SUM_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_SUM_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SUM_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SUM_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SUM_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SUM_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SUM_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SUM_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10SUM_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10SUM_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_SUM_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10SUM_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_SUM_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_SUM_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("SUM_Stream(real, int timeperiod=-0x80000000)\n\nSUM(real[, timeperiod=?])\n\nSummation (Math Operators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_SUM_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_SUM_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10SUM_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_SUM_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_SUM_Stream_spec = { + "talib._ta_lib.SUM_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_SUM_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_SUM_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_SUM_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""SUM_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_SUM_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_SUM_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("SUM_Stream(real, int timeperiod=-0x80000000)\n\nSUM(real[, timeperiod=?])\n\nSummation (Math Operators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_SUM_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_SUM_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10SUM_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_SUM_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_SUPERTREND_Stream __pyx_vtable_5talib_7_ta_lib_SUPERTREND_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_SUPERTREND_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_SUPERTREND_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_SUPERTREND_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_SUPERTREND_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_SUPERTREND_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_SUPERTREND_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_17SUPERTREND_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_17SUPERTREND_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_17SUPERTREND_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_SUPERTREND_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17SUPERTREND_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17SUPERTREND_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17SUPERTREND_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17SUPERTREND_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17SUPERTREND_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17SUPERTREND_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_17SUPERTREND_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_17SUPERTREND_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_SUPERTREND_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_17SUPERTREND_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_SUPERTREND_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_SUPERTREND_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("SUPERTREND_Stream(high, low, close, int timeperiod=-0x80000000, double multiplier=3.0)\n\nSUPERTREND(high, low, close[, timeperiod=?, multiplier=?])\n\nSuperTrend (Overlap Studies)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 10\n multiplier: 3.0\nOutputs:\n real\n integer")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_SUPERTREND_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_SUPERTREND_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_17SUPERTREND_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_SUPERTREND_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_SUPERTREND_Stream_spec = { + "talib._ta_lib.SUPERTREND_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_SUPERTREND_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_SUPERTREND_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_SUPERTREND_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""SUPERTREND_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_SUPERTREND_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_SUPERTREND_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("SUPERTREND_Stream(high, low, close, int timeperiod=-0x80000000, double multiplier=3.0)\n\nSUPERTREND(high, low, close[, timeperiod=?, multiplier=?])\n\nSuperTrend (Overlap Studies)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 10\n multiplier: 3.0\nOutputs:\n real\n integer"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_SUPERTREND_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_SUPERTREND_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_17SUPERTREND_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_SUPERTREND_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_T3_Stream __pyx_vtable_5talib_7_ta_lib_T3_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_T3_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_T3_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_T3_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_T3_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_T3_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_T3_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_9T3_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_9T3_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_9T3_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_T3_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9T3_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9T3_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9T3_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9T3_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9T3_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9T3_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_9T3_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_9T3_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_T3_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_9T3_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_T3_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_T3_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("T3_Stream(real, int timeperiod=-0x80000000, double vfactor=-4e37)\n\nT3(real[, timeperiod=?, vfactor=?])\n\nTriple Exponential Moving Average (T3) (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 5\n vfactor: 0.7\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_T3_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_T3_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_9T3_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_T3_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_T3_Stream_spec = { + "talib._ta_lib.T3_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_T3_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_T3_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_T3_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""T3_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_T3_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_T3_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("T3_Stream(real, int timeperiod=-0x80000000, double vfactor=-4e37)\n\nT3(real[, timeperiod=?, vfactor=?])\n\nTriple Exponential Moving Average (T3) (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 5\n vfactor: 0.7\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_T3_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_T3_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_9T3_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_T3_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_TAN_Stream __pyx_vtable_5talib_7_ta_lib_TAN_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_TAN_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_TAN_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_TAN_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_TAN_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_TAN_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_TAN_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10TAN_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10TAN_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10TAN_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_TAN_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10TAN_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10TAN_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10TAN_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10TAN_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10TAN_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10TAN_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10TAN_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10TAN_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_TAN_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10TAN_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_TAN_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_TAN_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("TAN_Stream(real)\n\nTAN(real)\n\nVector Trigonometric Tan (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_TAN_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_TAN_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10TAN_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_TAN_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_TAN_Stream_spec = { + "talib._ta_lib.TAN_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_TAN_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_TAN_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_TAN_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""TAN_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_TAN_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_TAN_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("TAN_Stream(real)\n\nTAN(real)\n\nVector Trigonometric Tan (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_TAN_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_TAN_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10TAN_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_TAN_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_TANH_Stream __pyx_vtable_5talib_7_ta_lib_TANH_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_TANH_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_TANH_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_TANH_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_TANH_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_TANH_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_TANH_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11TANH_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11TANH_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11TANH_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_TANH_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11TANH_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11TANH_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11TANH_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11TANH_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11TANH_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11TANH_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11TANH_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11TANH_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_TANH_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11TANH_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_TANH_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_TANH_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("TANH_Stream(real)\n\nTANH(real)\n\nVector Trigonometric Tanh (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_TANH_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_TANH_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11TANH_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_TANH_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_TANH_Stream_spec = { + "talib._ta_lib.TANH_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_TANH_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_TANH_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_TANH_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""TANH_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_TANH_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_TANH_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("TANH_Stream(real)\n\nTANH(real)\n\nVector Trigonometric Tanh (Math Transform)\n\nInputs:\n real: (any ndarray)\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_TANH_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_TANH_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11TANH_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_TANH_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_TEMA_Stream __pyx_vtable_5talib_7_ta_lib_TEMA_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_TEMA_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_TEMA_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_TEMA_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_TEMA_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_TEMA_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_TEMA_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11TEMA_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11TEMA_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11TEMA_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_TEMA_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11TEMA_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11TEMA_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11TEMA_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11TEMA_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11TEMA_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11TEMA_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11TEMA_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11TEMA_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_TEMA_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11TEMA_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_TEMA_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_TEMA_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("TEMA_Stream(real, int timeperiod=-0x80000000)\n\nTEMA(real[, timeperiod=?])\n\nTriple Exponential Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_TEMA_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_TEMA_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11TEMA_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_TEMA_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_TEMA_Stream_spec = { + "talib._ta_lib.TEMA_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_TEMA_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_TEMA_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_TEMA_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""TEMA_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_TEMA_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_TEMA_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("TEMA_Stream(real, int timeperiod=-0x80000000)\n\nTEMA(real[, timeperiod=?])\n\nTriple Exponential Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_TEMA_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_TEMA_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11TEMA_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_TEMA_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_TRANGE_Stream __pyx_vtable_5talib_7_ta_lib_TRANGE_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_TRANGE_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_TRANGE_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_TRANGE_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_TRANGE_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_TRANGE_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_TRANGE_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_13TRANGE_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_13TRANGE_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_13TRANGE_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_TRANGE_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13TRANGE_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13TRANGE_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13TRANGE_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13TRANGE_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13TRANGE_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13TRANGE_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13TRANGE_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13TRANGE_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_TRANGE_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_13TRANGE_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_TRANGE_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_TRANGE_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("TRANGE_Stream(high, low, close)\n\nTRANGE(high, low, close)\n\nTrue Range (Volatility Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_TRANGE_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_TRANGE_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_13TRANGE_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_TRANGE_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_TRANGE_Stream_spec = { + "talib._ta_lib.TRANGE_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_TRANGE_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_TRANGE_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_TRANGE_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""TRANGE_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_TRANGE_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_TRANGE_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("TRANGE_Stream(high, low, close)\n\nTRANGE(high, low, close)\n\nTrue Range (Volatility Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_TRANGE_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_TRANGE_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_13TRANGE_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_TRANGE_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_TRIMA_Stream __pyx_vtable_5talib_7_ta_lib_TRIMA_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_TRIMA_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_TRIMA_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_TRIMA_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_TRIMA_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_TRIMA_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_TRIMA_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_12TRIMA_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_12TRIMA_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_12TRIMA_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_TRIMA_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12TRIMA_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12TRIMA_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12TRIMA_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12TRIMA_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12TRIMA_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12TRIMA_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12TRIMA_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12TRIMA_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_TRIMA_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_12TRIMA_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_TRIMA_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_TRIMA_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("TRIMA_Stream(real, int timeperiod=-0x80000000)\n\nTRIMA(real[, timeperiod=?])\n\nTriangular Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_TRIMA_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_TRIMA_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_12TRIMA_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_TRIMA_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_TRIMA_Stream_spec = { + "talib._ta_lib.TRIMA_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_TRIMA_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_TRIMA_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_TRIMA_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""TRIMA_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_TRIMA_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_TRIMA_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("TRIMA_Stream(real, int timeperiod=-0x80000000)\n\nTRIMA(real[, timeperiod=?])\n\nTriangular Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_TRIMA_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_TRIMA_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_12TRIMA_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_TRIMA_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_TRIX_Stream __pyx_vtable_5talib_7_ta_lib_TRIX_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_TRIX_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_TRIX_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_TRIX_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_TRIX_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_TRIX_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_TRIX_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11TRIX_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11TRIX_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11TRIX_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_TRIX_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11TRIX_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11TRIX_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11TRIX_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11TRIX_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11TRIX_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11TRIX_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11TRIX_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11TRIX_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_TRIX_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11TRIX_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_TRIX_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_TRIX_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("TRIX_Stream(real, int timeperiod=-0x80000000)\n\nTRIX(real[, timeperiod=?])\n\n1-day Rate-Of-Change (ROC) of a Triple Smooth EMA (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_TRIX_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_TRIX_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11TRIX_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_TRIX_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_TRIX_Stream_spec = { + "talib._ta_lib.TRIX_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_TRIX_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_TRIX_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_TRIX_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""TRIX_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_TRIX_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_TRIX_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("TRIX_Stream(real, int timeperiod=-0x80000000)\n\nTRIX(real[, timeperiod=?])\n\n1-day Rate-Of-Change (ROC) of a Triple Smooth EMA (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_TRIX_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_TRIX_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11TRIX_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_TRIX_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_TSF_Stream __pyx_vtable_5talib_7_ta_lib_TSF_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_TSF_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_TSF_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_TSF_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_TSF_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_TSF_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_TSF_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10TSF_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10TSF_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10TSF_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_TSF_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10TSF_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10TSF_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10TSF_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10TSF_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10TSF_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10TSF_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10TSF_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10TSF_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_TSF_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10TSF_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_TSF_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_TSF_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("TSF_Stream(real, int timeperiod=-0x80000000)\n\nTSF(real[, timeperiod=?])\n\nTime Series Forecast (Statistic Functions)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_TSF_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_TSF_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10TSF_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_TSF_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_TSF_Stream_spec = { + "talib._ta_lib.TSF_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_TSF_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_TSF_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_TSF_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""TSF_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_TSF_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_TSF_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("TSF_Stream(real, int timeperiod=-0x80000000)\n\nTSF(real[, timeperiod=?])\n\nTime Series Forecast (Statistic Functions)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_TSF_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_TSF_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10TSF_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_TSF_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_TSI_Stream __pyx_vtable_5talib_7_ta_lib_TSI_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_TSI_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_TSI_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_TSI_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_TSI_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_TSI_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_TSI_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10TSI_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10TSI_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10TSI_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_TSI_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10TSI_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10TSI_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10TSI_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10TSI_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10TSI_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10TSI_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10TSI_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10TSI_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_TSI_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10TSI_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_TSI_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_TSI_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("TSI_Stream(real, int firstperiod=-0x80000000, int secondperiod=-0x80000000)\n\nTSI(real[, firstperiod=?, secondperiod=?])\n\nTrue Strength Index (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n firstperiod: 25\n secondperiod: 13\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_TSI_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_TSI_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10TSI_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_TSI_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_TSI_Stream_spec = { + "talib._ta_lib.TSI_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_TSI_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_TSI_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_TSI_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""TSI_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_TSI_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_TSI_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("TSI_Stream(real, int firstperiod=-0x80000000, int secondperiod=-0x80000000)\n\nTSI(real[, firstperiod=?, secondperiod=?])\n\nTrue Strength Index (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n firstperiod: 25\n secondperiod: 13\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_TSI_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_TSI_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10TSI_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_TSI_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_TYPPRICE_Stream __pyx_vtable_5talib_7_ta_lib_TYPPRICE_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_TYPPRICE_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_TYPPRICE_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_TYPPRICE_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_TYPPRICE_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_TYPPRICE_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_TYPPRICE_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_15TYPPRICE_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_15TYPPRICE_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_15TYPPRICE_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_TYPPRICE_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15TYPPRICE_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15TYPPRICE_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15TYPPRICE_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15TYPPRICE_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15TYPPRICE_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15TYPPRICE_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15TYPPRICE_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15TYPPRICE_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_TYPPRICE_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_15TYPPRICE_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_TYPPRICE_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_TYPPRICE_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("TYPPRICE_Stream(high, low, close)\n\nTYPPRICE(high, low, close)\n\nTypical Price (Price Transform)\n\nInputs:\n prices: ['high', 'low', 'close']\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_TYPPRICE_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_TYPPRICE_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_15TYPPRICE_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_TYPPRICE_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_TYPPRICE_Stream_spec = { + "talib._ta_lib.TYPPRICE_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_TYPPRICE_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_TYPPRICE_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_TYPPRICE_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""TYPPRICE_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_TYPPRICE_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_TYPPRICE_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("TYPPRICE_Stream(high, low, close)\n\nTYPPRICE(high, low, close)\n\nTypical Price (Price Transform)\n\nInputs:\n prices: ['high', 'low', 'close']\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_TYPPRICE_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_TYPPRICE_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_15TYPPRICE_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_TYPPRICE_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_ULTOSC_Stream __pyx_vtable_5talib_7_ta_lib_ULTOSC_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ULTOSC_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_ULTOSC_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_ULTOSC_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_ULTOSC_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_ULTOSC_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_ULTOSC_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_13ULTOSC_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_13ULTOSC_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_13ULTOSC_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_ULTOSC_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13ULTOSC_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13ULTOSC_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13ULTOSC_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13ULTOSC_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13ULTOSC_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13ULTOSC_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13ULTOSC_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13ULTOSC_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_ULTOSC_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_13ULTOSC_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_ULTOSC_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_ULTOSC_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("ULTOSC_Stream(high, low, close, int timeperiod1=-0x80000000, int timeperiod2=-0x80000000, int timeperiod3=-0x80000000)\n\nULTOSC(high, low, close[, timeperiod1=?, timeperiod2=?, timeperiod3=?])\n\nUltimate Oscillator (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod1: 7\n timeperiod2: 14\n timeperiod3: 28\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_ULTOSC_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_ULTOSC_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_13ULTOSC_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_ULTOSC_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_ULTOSC_Stream_spec = { + "talib._ta_lib.ULTOSC_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_ULTOSC_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_ULTOSC_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_ULTOSC_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""ULTOSC_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_ULTOSC_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_ULTOSC_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("ULTOSC_Stream(high, low, close, int timeperiod1=-0x80000000, int timeperiod2=-0x80000000, int timeperiod3=-0x80000000)\n\nULTOSC(high, low, close[, timeperiod1=?, timeperiod2=?, timeperiod3=?])\n\nUltimate Oscillator (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod1: 7\n timeperiod2: 14\n timeperiod3: 28\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_ULTOSC_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_ULTOSC_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_13ULTOSC_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_ULTOSC_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_VAR_Stream __pyx_vtable_5talib_7_ta_lib_VAR_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_VAR_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_VAR_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_VAR_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_VAR_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_VAR_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_VAR_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10VAR_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10VAR_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10VAR_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_VAR_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10VAR_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10VAR_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10VAR_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10VAR_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10VAR_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10VAR_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10VAR_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10VAR_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_VAR_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10VAR_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_VAR_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_VAR_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("VAR_Stream(real, int timeperiod=-0x80000000, double nbdev=-4e37)\n\nVAR(real[, timeperiod=?, nbdev=?])\n\nVariance (Statistic Functions)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 5\n nbdev: 1.0\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_VAR_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_VAR_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10VAR_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_VAR_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_VAR_Stream_spec = { + "talib._ta_lib.VAR_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_VAR_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_VAR_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_VAR_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""VAR_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_VAR_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_VAR_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("VAR_Stream(real, int timeperiod=-0x80000000, double nbdev=-4e37)\n\nVAR(real[, timeperiod=?, nbdev=?])\n\nVariance (Statistic Functions)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 5\n nbdev: 1.0\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_VAR_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_VAR_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10VAR_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_VAR_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_VHF_Stream __pyx_vtable_5talib_7_ta_lib_VHF_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_VHF_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_VHF_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_VHF_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_VHF_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_VHF_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_VHF_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10VHF_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10VHF_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10VHF_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_VHF_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10VHF_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10VHF_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10VHF_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10VHF_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10VHF_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10VHF_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10VHF_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10VHF_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_VHF_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10VHF_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_VHF_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_VHF_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("VHF_Stream(real, int timeperiod=-0x80000000)\n\nVHF(real[, timeperiod=?])\n\nVertical Horizontal Filter (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 28\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_VHF_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_VHF_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10VHF_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_VHF_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_VHF_Stream_spec = { + "talib._ta_lib.VHF_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_VHF_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_VHF_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_VHF_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""VHF_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_VHF_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_VHF_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("VHF_Stream(real, int timeperiod=-0x80000000)\n\nVHF(real[, timeperiod=?])\n\nVertical Horizontal Filter (Momentum Indicators)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 28\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_VHF_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_VHF_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10VHF_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_VHF_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_VORTEX_Stream __pyx_vtable_5talib_7_ta_lib_VORTEX_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_VORTEX_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_VORTEX_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_VORTEX_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_VORTEX_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_VORTEX_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_VORTEX_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_13VORTEX_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_13VORTEX_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_13VORTEX_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_VORTEX_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13VORTEX_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13VORTEX_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13VORTEX_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13VORTEX_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13VORTEX_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13VORTEX_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_13VORTEX_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_13VORTEX_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_VORTEX_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_13VORTEX_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_VORTEX_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_VORTEX_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("VORTEX_Stream(high, low, close, int timeperiod=-0x80000000)\n\nVORTEX(high, low, close[, timeperiod=?])\n\nVortex Indicator (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n plusvi\n minusvi")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_VORTEX_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_VORTEX_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_13VORTEX_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_VORTEX_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_VORTEX_Stream_spec = { + "talib._ta_lib.VORTEX_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_VORTEX_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_VORTEX_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_VORTEX_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""VORTEX_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_VORTEX_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_VORTEX_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("VORTEX_Stream(high, low, close, int timeperiod=-0x80000000)\n\nVORTEX(high, low, close[, timeperiod=?])\n\nVortex Indicator (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n plusvi\n minusvi"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_VORTEX_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_VORTEX_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_13VORTEX_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_VORTEX_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_VWAP_Stream __pyx_vtable_5talib_7_ta_lib_VWAP_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_VWAP_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_VWAP_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_VWAP_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_VWAP_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_VWAP_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_VWAP_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11VWAP_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11VWAP_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11VWAP_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_VWAP_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11VWAP_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11VWAP_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11VWAP_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11VWAP_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11VWAP_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11VWAP_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11VWAP_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11VWAP_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_VWAP_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11VWAP_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_VWAP_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_VWAP_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("VWAP_Stream(high, low, close, volume)\n\nVWAP(high, low, close, volume)\n\nVolume Weighted Average Price (Volume Indicators)\n\nInputs:\n prices: ['high', 'low', 'close', 'volume']\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_VWAP_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_VWAP_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11VWAP_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_VWAP_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_VWAP_Stream_spec = { + "talib._ta_lib.VWAP_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_VWAP_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_VWAP_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_VWAP_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""VWAP_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_VWAP_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_VWAP_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("VWAP_Stream(high, low, close, volume)\n\nVWAP(high, low, close, volume)\n\nVolume Weighted Average Price (Volume Indicators)\n\nInputs:\n prices: ['high', 'low', 'close', 'volume']\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_VWAP_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_VWAP_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11VWAP_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_VWAP_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_VWMA_Stream __pyx_vtable_5talib_7_ta_lib_VWMA_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_VWMA_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_VWMA_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_VWMA_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_VWMA_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_VWMA_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_VWMA_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_11VWMA_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_11VWMA_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_11VWMA_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_VWMA_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11VWMA_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11VWMA_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11VWMA_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11VWMA_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11VWMA_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11VWMA_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_11VWMA_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_11VWMA_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_VWMA_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_11VWMA_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_VWMA_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_VWMA_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("VWMA_Stream(real, volume, int timeperiod=-0x80000000)\n\nVWMA(real, volume[, timeperiod=?])\n\nVolume Weighted Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\n prices: ['volume']\nParameters:\n timeperiod: 30\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_VWMA_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_VWMA_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_11VWMA_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_VWMA_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_VWMA_Stream_spec = { + "talib._ta_lib.VWMA_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_VWMA_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_VWMA_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_VWMA_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""VWMA_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_VWMA_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_VWMA_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("VWMA_Stream(real, volume, int timeperiod=-0x80000000)\n\nVWMA(real, volume[, timeperiod=?])\n\nVolume Weighted Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\n prices: ['volume']\nParameters:\n timeperiod: 30\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_VWMA_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_VWMA_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_11VWMA_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_VWMA_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_WAD_Stream __pyx_vtable_5talib_7_ta_lib_WAD_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_WAD_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_WAD_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_WAD_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_WAD_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_WAD_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_WAD_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10WAD_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10WAD_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10WAD_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_WAD_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10WAD_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10WAD_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10WAD_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10WAD_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10WAD_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10WAD_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10WAD_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10WAD_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_WAD_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10WAD_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_WAD_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_WAD_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("WAD_Stream(high, low, close)\n\nWAD(high, low, close)\n\nWilliams' Accumulation/Distribution (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_WAD_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_WAD_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10WAD_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_WAD_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_WAD_Stream_spec = { + "talib._ta_lib.WAD_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_WAD_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_WAD_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_WAD_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""WAD_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_WAD_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_WAD_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("WAD_Stream(high, low, close)\n\nWAD(high, low, close)\n\nWilliams' Accumulation/Distribution (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_WAD_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_WAD_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10WAD_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_WAD_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_WCLPRICE_Stream __pyx_vtable_5talib_7_ta_lib_WCLPRICE_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_WCLPRICE_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_WCLPRICE_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_WCLPRICE_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_WCLPRICE_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_WCLPRICE_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_WCLPRICE_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_15WCLPRICE_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_15WCLPRICE_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_15WCLPRICE_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_WCLPRICE_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15WCLPRICE_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15WCLPRICE_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15WCLPRICE_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15WCLPRICE_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15WCLPRICE_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15WCLPRICE_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_15WCLPRICE_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_15WCLPRICE_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_WCLPRICE_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_15WCLPRICE_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_WCLPRICE_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_WCLPRICE_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("WCLPRICE_Stream(high, low, close)\n\nWCLPRICE(high, low, close)\n\nWeighted Close Price (Price Transform)\n\nInputs:\n prices: ['high', 'low', 'close']\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_WCLPRICE_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_WCLPRICE_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_15WCLPRICE_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_WCLPRICE_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_WCLPRICE_Stream_spec = { + "talib._ta_lib.WCLPRICE_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_WCLPRICE_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_WCLPRICE_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_WCLPRICE_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""WCLPRICE_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_WCLPRICE_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_WCLPRICE_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("WCLPRICE_Stream(high, low, close)\n\nWCLPRICE(high, low, close)\n\nWeighted Close Price (Price Transform)\n\nInputs:\n prices: ['high', 'low', 'close']\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_WCLPRICE_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_WCLPRICE_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_15WCLPRICE_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_WCLPRICE_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_WILLR_Stream __pyx_vtable_5talib_7_ta_lib_WILLR_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_WILLR_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_WILLR_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_WILLR_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_WILLR_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_WILLR_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_WILLR_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_12WILLR_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_12WILLR_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_12WILLR_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_WILLR_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12WILLR_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12WILLR_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12WILLR_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12WILLR_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12WILLR_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12WILLR_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12WILLR_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12WILLR_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_WILLR_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_12WILLR_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_WILLR_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_WILLR_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("WILLR_Stream(high, low, close, int timeperiod=-0x80000000)\n\nWILLR(high, low, close[, timeperiod=?])\n\nWilliams' %R (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_WILLR_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_WILLR_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_12WILLR_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_WILLR_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_WILLR_Stream_spec = { + "talib._ta_lib.WILLR_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_WILLR_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_WILLR_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_WILLR_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""WILLR_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_WILLR_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_WILLR_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("WILLR_Stream(high, low, close, int timeperiod=-0x80000000)\n\nWILLR(high, low, close[, timeperiod=?])\n\nWilliams' %R (Momentum Indicators)\n\nInputs:\n prices: ['high', 'low', 'close']\nParameters:\n timeperiod: 14\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_WILLR_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_WILLR_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_12WILLR_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_WILLR_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_WMA_Stream __pyx_vtable_5talib_7_ta_lib_WMA_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_WMA_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_WMA_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_WMA_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_WMA_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_WMA_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_WMA_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_10WMA_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_10WMA_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_10WMA_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_WMA_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10WMA_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10WMA_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10WMA_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10WMA_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10WMA_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10WMA_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_10WMA_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_10WMA_Stream_10copy}, + {0, 0, 0, 0} +}; + +static struct PyGetSetDef __pyx_getsets_5talib_7_ta_lib_WMA_Stream[] = { + {"value", __pyx_getprop_5talib_7_ta_lib_10WMA_Stream_value, 0, 0, 0}, + {0, 0, 0, 0, 0} +}; +#if CYTHON_USE_TYPE_SPECS +static PyType_Slot __pyx_type_5talib_7_ta_lib_WMA_Stream_slots[] = { + {Py_tp_dealloc, (void *)__pyx_tp_dealloc_5talib_7_ta_lib_WMA_Stream}, + {Py_tp_doc, (void *)PyDoc_STR("WMA_Stream(real, int timeperiod=-0x80000000)\n\nWMA(real[, timeperiod=?])\n\nWeighted Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real")}, + {Py_tp_methods, (void *)__pyx_methods_5talib_7_ta_lib_WMA_Stream}, + {Py_tp_getset, (void *)__pyx_getsets_5talib_7_ta_lib_WMA_Stream}, + {Py_tp_init, (void *)__pyx_pw_5talib_7_ta_lib_10WMA_Stream_3__init__}, + {Py_tp_new, (void *)__pyx_tp_new_5talib_7_ta_lib_WMA_Stream}, + {0, 0}, +}; +static PyType_Spec __pyx_type_5talib_7_ta_lib_WMA_Stream_spec = { + "talib._ta_lib.WMA_Stream", + sizeof(struct __pyx_obj_5talib_7_ta_lib_WMA_Stream), + 0, + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, + __pyx_type_5talib_7_ta_lib_WMA_Stream_slots, +}; +#else + +static PyTypeObject __pyx_type_5talib_7_ta_lib_WMA_Stream = { + PyVarObject_HEAD_INIT(0, 0) + "talib._ta_lib.""WMA_Stream", /*tp_name*/ + sizeof(struct __pyx_obj_5talib_7_ta_lib_WMA_Stream), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + __pyx_tp_dealloc_5talib_7_ta_lib_WMA_Stream, /*tp_dealloc*/ + 0, /*tp_vectorcall_offset*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_as_async*/ + 0, /*tp_repr*/ + 0, /*tp_as_number*/ + 0, /*tp_as_sequence*/ + 0, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_BASETYPE, /*tp_flags*/ + PyDoc_STR("WMA_Stream(real, int timeperiod=-0x80000000)\n\nWMA(real[, timeperiod=?])\n\nWeighted Moving Average (Overlap Studies)\n\nInputs:\n real: (any ndarray)\nParameters:\n timeperiod: 30\nOutputs:\n real"), /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + 0, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + __pyx_methods_5talib_7_ta_lib_WMA_Stream, /*tp_methods*/ + 0, /*tp_members*/ + __pyx_getsets_5talib_7_ta_lib_WMA_Stream, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + #if !CYTHON_USE_TYPE_SPECS + 0, /*tp_dictoffset*/ + #endif + __pyx_pw_5talib_7_ta_lib_10WMA_Stream_3__init__, /*tp_init*/ + 0, /*tp_alloc*/ + __pyx_tp_new_5talib_7_ta_lib_WMA_Stream, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0, /*tp_del*/ + 0, /*tp_version_tag*/ + #if CYTHON_USE_TP_FINALIZE + 0, /*tp_finalize*/ + #else + NULL, /*tp_finalize*/ + #endif + #if !CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM >= 0x07030800 + 0, /*tp_vectorcall*/ + #endif + #if __PYX_NEED_TP_PRINT_SLOT == 1 + 0, /*tp_print*/ + #endif + #if PY_VERSION_HEX >= 0x030C0000 + 0, /*tp_watched*/ + #endif + #if PY_VERSION_HEX >= 0x030d00A4 + 0, /*tp_versions_used*/ + #endif + #if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX >= 0x03090000 && PY_VERSION_HEX < 0x030a0000 + 0, /*tp_pypy_flags*/ + #endif +}; +#endif +static struct __pyx_vtabstruct_5talib_7_ta_lib_ZLEMA_Stream __pyx_vtable_5talib_7_ta_lib_ZLEMA_Stream; + +static PyObject *__pyx_tp_new_5talib_7_ta_lib_ZLEMA_Stream(PyTypeObject *t, PyObject *a, PyObject *k) { + struct __pyx_obj_5talib_7_ta_lib_ZLEMA_Stream *p; + PyObject *o = __pyx_tp_new_5talib_7_ta_lib_Stream(t, a, k); + if (unlikely(!o)) return 0; + p = ((struct __pyx_obj_5talib_7_ta_lib_ZLEMA_Stream *)o); + p->__pyx_base.__pyx_vtab = (struct __pyx_vtabstruct_5talib_7_ta_lib_Stream*)__pyx_vtabptr_5talib_7_ta_lib_ZLEMA_Stream; + return o; +} + +static void __pyx_tp_dealloc_5talib_7_ta_lib_ZLEMA_Stream(PyObject *o) { + #if CYTHON_USE_TP_FINALIZE + if (unlikely(__Pyx_PyObject_GetSlot(o, tp_finalize, destructor)) && (!PyType_IS_GC(Py_TYPE(o)) || !__Pyx_PyObject_GC_IsFinalized(o))) { + if (__Pyx_PyObject_GetSlot(o, tp_dealloc, destructor) == __pyx_tp_dealloc_5talib_7_ta_lib_ZLEMA_Stream) { + if (PyObject_CallFinalizerFromDealloc(o)) return; + } + } + #endif + { + PyObject *etype, *eval, *etb; + PyErr_Fetch(&etype, &eval, &etb); + __Pyx_DeallocKeepAliveBegin(o); + __pyx_pw_5talib_7_ta_lib_12ZLEMA_Stream_1__dealloc__(o); + __Pyx_DeallocKeepAliveEnd(o); + PyErr_Restore(etype, eval, etb); + } + __pyx_tp_dealloc_5talib_7_ta_lib_Stream(o); +} + +static PyObject *__pyx_getprop_5talib_7_ta_lib_12ZLEMA_Stream_value(PyObject *o, CYTHON_UNUSED void *x) { + return __pyx_pw_5talib_7_ta_lib_12ZLEMA_Stream_5value_1__get__(o); +} + +static PyMethodDef __pyx_methods_5talib_7_ta_lib_ZLEMA_Stream[] = { + {"open_and_fill", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12ZLEMA_Stream_5open_and_fill, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12ZLEMA_Stream_4open_and_fill}, + {"update", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12ZLEMA_Stream_7update, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12ZLEMA_Stream_6update}, + {"peek", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12ZLEMA_Stream_9peek, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12ZLEMA_Stream_8peek}, + {"copy", (PyCFunction)(void(*)(void))(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_5talib_7_ta_lib_12ZLEMA_Stream_11copy, __Pyx_METH_FASTCALL|METH_KEYWORDS, __pyx_doc_5talib_7_ta_lib_12ZLEMA_Stream_10copy}, + {0, 0, 0, 0} +}; 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+ PyObject *data = __Pyx_DecompressString(cstring, 25315, 1); if (unlikely(!data)) __PYX_ERR(0, 1, __pyx_L1_error) const char* const bytes = __Pyx_PyBytes_AsString(data); #if !CYTHON_ASSUME_SAFE_MACROS if (likely(bytes)); else { Py_DECREF(data); __PYX_ERR(0, 1, __pyx_L1_error) } #endif - #else /* compression: none (63769 bytes) */ -const char* const bytes = ": 3ADXR has no unstable period of its own; it follows the inner ADX. Set 'ADX' instead.A period of 1 performs no smoothingAllocation Error (TA_ALLOC_ERR)Bad Object (TA_BAD_OBJECT)Bad Parameter (TA_BAD_PARAM)Bull/Bear Pattern (Bearish < 0, Neutral = 0, Bullish > 0)Dashed LineDotted LineDouble Exponential Moving AverageExponential Moving AverageFunction Not Found (TA_FUNC_NOT_FOUND)Function has a streaming APIFunction has an unstable periodGroup Not Found (TA_GROUP_NOT_FOUND)Hull Moving AverageInput Not All Initialized (TA_INPUT_NOT_ALL_INITIALIZE)Inputs:Insufficient History (TA_INSUFFICIENT_HISTORY)Internal Error (TA_INTERNAL_ERROR)Invalid Handle (TA_INVALID_HANDLE)Invalid List Type (TA_INVALID_LIST_TYPE)Invalid Parameter Function (TA_INVALID_PARAM_FUNCTION)Invalid Parameter Holder (TA_INVALID_PARAM_HOLDER)Invalid Parameter Holder Type (TA_INVALID_PARAM_HOLDER_TYPE)Invalid parameter value for Kaufman Adaptive Moving AverageLibrary Not Initialized (TA_LIB_NOT_INITIALIZE)MESA Adaptive Moving AverageMFI's unstable period was retired in TA-Lib C.No Moving Average (identity)NoneNot Supported (TA_NOT_SUPPORTED)Not enough price arguments: expected Note that Cython is deliberately stricter than PEP-484 and rejects subclasses of builtin types. If you need to pass subclasses then set the 'annotation_typing' directive to False.Out-of-Range End Index (TA_OUT_OF_RANGE_END_INDEX)Out-of-Range Start Index (TA_OUT_OF_RANGE_START_INDEX)Output Not All Initialized (TA_OUTPUT_NOT_ALL_INITIALIZE)Output can be NaN or infiniteOutput can be negativeOutput can be positiveOutput can be zeroOutput is a candlestickOutput is optional (nullable)Output is over volumeOutput is path-dependentOutput scale same as inputOutputs:Parameters:Pattern (Bool)STOCHRSI has no unstable period of its own; it follows the inner RSI. Set 'RSI' instead.Simple Moving AverageStrength Pattern ([-200..-100] = Bearish, [-100..0] = Getting Bearish, 0 = Neutral, [0..100] = Getting Bullish, [100-200] = Bullish)The Function's"" Own Default Moving Average\n This is a pythonic wrapper around TALIB's abstract interface. It is\n intended to simplify using individual TALIB functions by providing a\n unified interface for setting/controlling input data, setting function\n parameters and retrieving results. Input data consists of a ``dict`` of\n ``numpy`` arrays (or a ``pandas.DataFrame`` or ``polars.DataFrame``), one\n array for each of open, high, low, close and volume. This can be set with\n the set_input_arrays() method. Which keyed array(s) are used as inputs when\n calling the function is controlled using the input_names property.\n\n This class gets initialized with a TALIB function name and optionally an\n input_arrays object. It provides the following primary functions for\n setting inputs and retrieving results:\n\n ---- input_array/TA-function-parameter set-only functions -----\n - set_input_arrays(input_arrays)\n - set_function_args([input_arrays,] [param_args_andor_kwargs])\n\n Documentation for param_args_andor_kwargs can be seen by printing the\n Function instance or programmatically via the info, input_names and\n parameters properties.\n\n ----- result-returning functions -----\n - the outputs property wraps a method which ensures results are always valid\n - run([input_arrays]) # calls set_input_arrays and returns self.outputs\n - FunctionInstance([input_arrays,] [param_args_andor_kwargs]) # calls set_function_args and returns self.outputs\n Too many price arguments: expected Triangular Moving AverageTriple Exponential Moving AverageTriple Generalized Double Exponential Moving AverageUnknown ErrorUnknown Error (TA_UNKNOWN_ERR)Values represent a lower limitValues represent an upper limitWeighted Moving AverageWilder's Smoothed Moving AverageZero-Lag Exponential Moving Average] )\n\n.?, ()( [=add_note(any ndarray)%(display_name)s (%(group)s)\n (expected function failed with error code , got input array has wro""ng dimensionsinput array lengths are differentinput array type is not double[input_arrays]input_arrays parameter missing required data keyinteger (values are -100, 0 or 100)' is deprecated and has no effect: numpy._core.multiarray failed to importnumpy._core.umath failed to import%s(%s) %sstream_%stalib/_abstract.pxitalib/_common.pxitalib/_func.pxitalib/_stream.pxitalib.collectionstalib.numpytalib.ordereddicttalib.pandastalib.polarstalib.systalib.threadingtalib.warningsunstable period 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+ #else /* compression: none (111563 bytes) */ +const char* const bytes = ": 3ADXR has no unstable period of its own; it follows the inner ADX. Set 'ADX' instead.A period of 1 performs no smoothingAllocation Error (TA_ALLOC_ERR)Bad Object (TA_BAD_OBJECT)Bad Parameter (TA_BAD_PARAM)Bull/Bear Pattern (Bearish < 0, Neutral = 0, Bullish > 0)Cannot mix polars and pandasDashed LineDotted LineDouble Exponential Moving AverageExponential Moving AverageFunction Not Found (TA_FUNC_NOT_FOUND)Function has a streaming APIFunction has an unstable periodGroup Not Found (TA_GROUP_NOT_FOUND)Hull Moving AverageInput Not All Initialized (TA_INPUT_NOT_ALL_INITIALIZE)Inputs:Insufficient History (TA_INSUFFICIENT_HISTORY)Internal Error (TA_INTERNAL_ERROR)Invalid Handle (TA_INVALID_HANDLE)Invalid List Type (TA_INVALID_LIST_TYPE)Invalid Parameter Function (TA_INVALID_PARAM_FUNCTION)Invalid Parameter Holder (TA_INVALID_PARAM_HOLDER)Invalid Parameter Holder Type (TA_INVALID_PARAM_HOLDER_TYPE)Invalid parameter value for Kaufman Adaptive Moving AverageLibrary Not Initialized (TA_LIB_NOT_INITIALIZE)MESA Adaptive Moving AverageMFI's unstable period was retired in TA-Lib C.No Moving Average (identity)NoneNot Supported (TA_NOT_SUPPORTED)Not enough history to open a stream (TA_INSUFFICIENT_HISTORY).\n\n Recoverable: collect more bars and try again.Not enough price arguments: expected Note that Cython is deliberately stricter than PEP-484 and rejects subclasses of builtin types. If you need to pass subclasses then set the 'annotation_typing' directive to False.Out-of-Range End Index (TA_OUT_OF_RANGE_END_INDEX)Out-of-Range Start Index (TA_OUT_OF_RANGE_START_INDEX)Output Not All Initialized (TA_OUTPUT_NOT_ALL_INITIALIZE)Output can be NaN or infiniteOutput can be negativeOutput can be positiveOutput can be zeroOutput is a candlestickOutput is optional (nullable)Output is over volumeOutput is path-dependentOutput scale same as inputOutputs:Parameters:Pattern (Bool)STOCHRSI has no unstable period of its own; it follows the inner RSI. Set 'RSI' instead.Simple Moving AverageStr""ength Pattern ([-200..-100] = Bearish, [-100..0] = Getting Bearish, 0 = Neutral, [0..100] = Getting Bullish, [100-200] = Bullish)The Function's Own Default Moving Average\n This is a pythonic wrapper around TALIB's abstract interface. It is\n intended to simplify using individual TALIB functions by providing a\n unified interface for setting/controlling input data, setting function\n parameters and retrieving results. Input data consists of a ``dict`` of\n ``numpy`` arrays (or a ``pandas.DataFrame`` or ``polars.DataFrame``), one\n array for each of open, high, low, close and volume. This can be set with\n the set_input_arrays() method. Which keyed array(s) are used as inputs when\n calling the function is controlled using the input_names property.\n\n This class gets initialized with a TALIB function name and optionally an\n input_arrays object. It provides the following primary functions for\n setting inputs and retrieving results:\n\n ---- input_array/TA-function-parameter set-only functions -----\n - set_input_arrays(input_arrays)\n - set_function_args([input_arrays,] [param_args_andor_kwargs])\n\n Documentation for param_args_andor_kwargs can be seen by printing the\n Function instance or programmatically via the info, input_names and\n parameters properties.\n\n ----- result-returning functions -----\n - the outputs property wraps a method which ensures results are always valid\n - run([input_arrays]) # calls set_input_arrays and returns self.outputs\n - FunctionInstance([input_arrays,] [param_args_andor_kwargs]) # calls set_function_args and returns self.outputs\n Too many price arguments: expected Triangular Moving AverageTriple Exponential Moving AverageTriple Generalized Double Exponential Moving AverageUnknown ErrorUnknown Error (TA_UNKNOWN_ERR)Values represent a lower limitValues represent an upper limitWeighted Moving AverageWilder's Smoothed Moving AverageZero-Lag Exponential Moving Avera""ge] )\n\n.?, ()( [=add_note(any ndarray)aroondown aroonup bars of history, at least begidx nbelementbullpower bearpowercannot pickle %s: a stream handle points into the TA-Lib C library, and does not cross a process boundarydisable%(display_name)s (%(group)s)\nenable (expected fastk fastd function failed with error code gc, got haopen hahigh halow hacloseinphase quadratureinput array has wrong dimensionsinput array lengths are differentinput array type is not double[input_arrays]input_arrays parameter missing required data keyinput must be a numpy array or a pandas or polars Series, not %sinteger (values are -100, 0 or 100)' is deprecated and has no effect: isenabledk d jmacd macdsignal macdhistmama famamin maxminidx maxidx needed (a leading bar that is NaN in any input is not history)no history: the input array is emptynumpy._core.multiarray failed to importnumpy._core.umath failed to importplusvi minusvireal integer%s(%s) %s%s.advance%s.out_rangesine leadsineslowk slowdsmi smisignalswinghigh swinglowtalib/_abstract.pxitalib/_common.pxitalib/_func.pxitalib/_stream.pxitalib.collectionstalib.numpytalib.ordereddicttalib.pandastalib.polarstalib.systalib.threadingtalib.warningstoo many input arraysunstable period 'upperband middleband 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eTA_CDLCONCEALBABYSWALL_OpenTA_CDLCONCEALBABYSWALL_OpenAndFillTA_CDLCONCEALBABYSWALL_PeekTA_CDLCONCEALBABYSWALL_UpdateTA_CDLCONCEALBABYSWALL_ValueTA_CDLCOUNTERATTACKTA_CDLCOUNTERATTACK_CloneTA_CDLCOUNTERATTACK_OpenTA_CDLCOUNTERATTACK_OpenAndFillTA_CDLCOUNTERATTACK_PeekTA_CDLCOUNTERATTACK_UpdateTA_CDLCOUNTERATTACK_ValueTA_CDLDARKCLOUDCOVERTA_CDLDARKCLOUDCOVER_CloneTA_CDLDARKCLOUDCOVER_OpenTA_CDLDARKCLOUDCOVER_OpenAndFillTA_CDLDARKCLOUDCOVER_PeekTA_CDLDARKCLOUDCOVER_UpdateTA_CDLDARKCLOUDCOVER_ValueTA_CDLDOJITA_CDLDOJISTARTA_CDLDOJISTAR_CloneTA_CDLDOJISTAR_OpenTA_CDLDOJISTAR_OpenAndFillTA_CDLDOJISTAR_PeekTA_CDLDOJISTAR_UpdateTA_CDLDOJISTAR_ValueTA_CDLDOJI_CloneTA_CDLDOJI_OpenTA_CDLDOJI_OpenAndFillTA_CDLDOJI_PeekTA_CDLDOJI_UpdateTA_CDLDOJI_ValueTA_CDLDRAGONFLYDOJITA_CDLDRAGONFLYDOJI_CloneTA_CDLDRAGONFLYDOJI_OpenTA_CDLDRAGONFLYDOJI_OpenAndFillTA_CDLDRAGONFLYDOJI_PeekTA_CDLDRAGONFLYDOJI_UpdateTA_CDLDRAGONFLYDOJI_ValueTA_CDLENGULFINGTA_CDLENGULFING_CloneTA_CDLENGULFING_OpenTA_CDLENGULFING_OpenAndFillTA_CDLENGULFING_PeekTA_CDLENGULFING_UpdateTA_CDLENGULFING_ValueTA_CDLEVENINGDOJISTARTA_CDLEVENINGDOJISTAR_CloneTA_CDLEVENINGDOJISTAR_OpenTA_CDLEVENINGDOJISTAR_OpenAndFillTA_CDLEVENINGDOJISTAR_PeekTA_CDLEVENINGDOJISTAR_UpdateTA_CDLEVENINGDOJISTAR_ValueTA_CDLEVENINGSTARTA_CDLEVENINGSTAR_CloneTA_CDLEVENINGSTAR_OpenTA_CDLEVENINGSTAR_OpenAndFillTA_CDLEVENINGSTAR_PeekTA_CDLEVENINGSTAR_UpdateTA_CDLEVENINGSTAR_ValueTA_CDLGAPSIDESIDEWHITETA_CDLGAPSIDESIDEWHITE_CloneTA_CDLGAPSIDESIDEWHITE_OpenTA_CDLGAPSIDESIDEWHITE_OpenAndFillTA_CDLGAPSIDESIDEWHITE_PeekTA_CDLGAPSIDESIDEWHITE_UpdateTA_CDLGAPSIDESIDEWHITE_ValueTA_CDLGRAVESTONEDOJITA_CDLGRAVESTONEDOJI_CloneTA_CDLGRAVESTONEDOJI_OpenTA_CDLGRAVESTONEDOJI_OpenAndFillTA_CDLGRAVESTONEDOJI_PeekTA_CDLGRAVESTONE""DOJI_UpdateTA_CDLGRAVESTONEDOJI_ValueTA_CDLHAMMERTA_CDLHAMMER_CloneTA_CDLHAMMER_OpenTA_CDLHAMMER_OpenAndFillTA_CDLHAMMER_PeekTA_CDLHAMMER_UpdateTA_CDLHAMMER_ValueTA_CDLHANGINGMANTA_CDLHANGINGMAN_CloneTA_CDLHANGINGMAN_OpenTA_CDLHANGINGMAN_OpenAndFillTA_CDLHANGINGMAN_PeekTA_CDLHANGINGMAN_UpdateTA_CDLHANGINGMAN_ValueTA_CDLHARAMITA_CDLHARAMICROSSTA_CDLHARAMICROSS_CloneTA_CDLHARAMICROSS_OpenTA_CDLHARAMICROSS_OpenAndFillTA_CDLHARAMICROSS_PeekTA_CDLHARAMICROSS_UpdateTA_CDLHARAMICROSS_ValueTA_CDLHARAMI_CloneTA_CDLHARAMI_OpenTA_CDLHARAMI_OpenAndFillTA_CDLHARAMI_PeekTA_CDLHARAMI_UpdateTA_CDLHARAMI_ValueTA_CDLHIGHWAVETA_CDLHIGHWAVE_CloneTA_CDLHIGHWAVE_OpenTA_CDLHIGHWAVE_OpenAndFillTA_CDLHIGHWAVE_PeekTA_CDLHIGHWAVE_UpdateTA_CDLHIGHWAVE_ValueTA_CDLHIKKAKETA_CDLHIKKAKEMODTA_CDLHIKKAKEMOD_CloneTA_CDLHIKKAKEMOD_OpenTA_CDLHIKKAKEMOD_OpenAndFillTA_CDLHIKKAKEMOD_PeekTA_CDLHIKKAKEMOD_UpdateTA_CDLHIKKAKEMOD_ValueTA_CDLHIKKAKE_CloneTA_CDLHIKKAKE_OpenTA_CDLHIKKAKE_OpenAndFillTA_CDLHIKKAKE_PeekTA_CDLHIKKAKE_UpdateTA_CDLHIKKAKE_ValueTA_CDLHOMINGPIGEONTA_CDLHOMINGPIGEON_CloneTA_CDLHOMINGPIGEON_OpenTA_CDLHOMINGPIGEON_OpenAndFillTA_CDLHOMINGPIGEON_PeekTA_CDLHOMINGPIGEON_UpdateTA_CDLHOMINGPIGEON_ValueTA_CDLIDENTICAL3CROWSTA_CDLIDENTICAL3CROWS_CloneTA_CDLIDENTICAL3CROWS_OpenTA_CDLIDENTICAL3CROWS_OpenAndFillTA_CDLIDENTICAL3CROWS_PeekTA_CDLIDENTICAL3CROWS_UpdateTA_CDLIDENTICAL3CROWS_ValueTA_CDLINNECKTA_CDLINNECK_CloneTA_CDLINNECK_OpenTA_CDLINNECK_OpenAndFillTA_CDLINNECK_PeekTA_CDLINNECK_UpdateTA_CDLINNECK_ValueTA_CDLINVERTEDHAMMERTA_CDLINVERTEDHAMMER_CloneTA_CDLINVERTEDHAMMER_OpenTA_CDLINVERTEDHAMMER_OpenAndFillTA_CDLINVERTEDHAMMER_PeekTA_CDLINVERTEDHAMMER_UpdateTA_CDLINVERTEDHAMMER_ValueTA_CDLKICKINGTA_CDLKICKINGBYLENGTHTA_CDLKICKINGBYLENGTH_CloneTA_CDLKICKINGBYLENGTH_OpenTA_CDLKICKINGBYLENGTH_OpenAndFillTA_CDLKICKINGBYLENGTH_PeekTA_CDLKICKINGBYLENGTH_UpdateTA_CDLKICKINGBYLENGTH_ValueTA_CDLKICKING_CloneTA_CDLKICKING_OpenTA_CDLKICKING_OpenAndFillTA_CDLKICKING_PeekTA_CDLKICKING_UpdateTA_CDLKICKING_""ValueTA_CDLLADDERBOTTOMTA_CDLLADDERBOTTOM_CloneTA_CDLLADDERBOTTOM_OpenTA_CDLLADDERBOTTOM_OpenAndFillTA_CDLLADDERBOTTOM_PeekTA_CDLLADDERBOTTOM_UpdateTA_CDLLADDERBOTTOM_ValueTA_CDLLONGLEGGEDDOJITA_CDLLONGLEGGEDDOJI_CloneTA_CDLLONGLEGGEDDOJI_OpenTA_CDLLONGLEGGEDDOJI_OpenAndFillTA_CDLLONGLEGGEDDOJI_PeekTA_CDLLONGLEGGEDDOJI_UpdateTA_CDLLONGLEGGEDDOJI_ValueTA_CDLLONGLINETA_CDLLONGLINE_CloneTA_CDLLONGLINE_OpenTA_CDLLONGLINE_OpenAndFillTA_CDLLONGLINE_PeekTA_CDLLONGLINE_UpdateTA_CDLLONGLINE_ValueTA_CDLMARUBOZUTA_CDLMARUBOZU_CloneTA_CDLMARUBOZU_OpenTA_CDLMARUBOZU_OpenAndFillTA_CDLMARUBOZU_PeekTA_CDLMARUBOZU_UpdateTA_CDLMARUBOZU_ValueTA_CDLMATCHINGLOWTA_CDLMATCHINGLOW_CloneTA_CDLMATCHINGLOW_OpenTA_CDLMATCHINGLOW_OpenAndFillTA_CDLMATCHINGLOW_PeekTA_CDLMATCHINGLOW_UpdateTA_CDLMATCHINGLOW_ValueTA_CDLMATHOLDTA_CDLMATHOLD_CloneTA_CDLMATHOLD_OpenTA_CDLMATHOLD_OpenAndFillTA_CDLMATHOLD_PeekTA_CDLMATHOLD_UpdateTA_CDLMATHOLD_ValueTA_CDLMORNINGDOJISTARTA_CDLMORNINGDOJISTAR_CloneTA_CDLMORNINGDOJISTAR_OpenTA_CDLMORNINGDOJISTAR_OpenAndFillTA_CDLMORNINGDOJISTAR_PeekTA_CDLMORNINGDOJISTAR_UpdateTA_CDLMORNINGDOJISTAR_ValueTA_CDLMORNINGSTARTA_CDLMORNINGSTAR_CloneTA_CDLMORNINGSTAR_OpenTA_CDLMORNINGSTAR_OpenAndFillTA_CDLMORNINGSTAR_PeekTA_CDLMORNINGSTAR_UpdateTA_CDLMORNINGSTAR_ValueTA_CDLONNECKTA_CDLONNECK_CloneTA_CDLONNECK_OpenTA_CDLONNECK_OpenAndFillTA_CDLONNECK_PeekTA_CDLONNECK_UpdateTA_CDLONNECK_ValueTA_CDLPIERCINGTA_CDLPIERCING_CloneTA_CDLPIERCING_OpenTA_CDLPIERCING_OpenAndFillTA_CDLPIERCING_PeekTA_CDLPIERCING_UpdateTA_CDLPIERCING_ValueTA_CDLRICKSHAWMANTA_CDLRICKSHAWMAN_CloneTA_CDLRICKSHAWMAN_OpenTA_CDLRICKSHAWMAN_OpenAndFillTA_CDLRICKSHAWMAN_PeekTA_CDLRICKSHAWMAN_UpdateTA_CDLRICKSHAWMAN_ValueTA_CDLRISEFALL3METHODSTA_CDLRISEFALL3METHODS_CloneTA_CDLRISEFALL3METHODS_OpenTA_CDLRISEFALL3METHODS_OpenAndFillTA_CDLRISEFALL3METHODS_PeekTA_CDLRISEFALL3METHODS_UpdateTA_CDLRISEFALL3METHODS_ValueTA_CDLSEPARATINGLINESTA_CDLSEPARATINGLINES_CloneTA_CDLSEPARATINGLINES_OpenTA_CDLSEPARATINGLINES_OpenAndFillTA_""CDLSEPARATINGLINES_PeekTA_CDLSEPARATINGLINES_UpdateTA_CDLSEPARATINGLINES_ValueTA_CDLSHOOTINGSTARTA_CDLSHOOTINGSTAR_CloneTA_CDLSHOOTINGSTAR_OpenTA_CDLSHOOTINGSTAR_OpenAndFillTA_CDLSHOOTINGSTAR_PeekTA_CDLSHOOTINGSTAR_UpdateTA_CDLSHOOTINGSTAR_ValueTA_CDLSHORTLINETA_CDLSHORTLINE_CloneTA_CDLSHORTLINE_OpenTA_CDLSHORTLINE_OpenAndFillTA_CDLSHORTLINE_PeekTA_CDLSHORTLINE_UpdateTA_CDLSHORTLINE_ValueTA_CDLSPINNINGTOPTA_CDLSPINNINGTOP_CloneTA_CDLSPINNINGTOP_OpenTA_CDLSPINNINGTOP_OpenAndFillTA_CDLSPINNINGTOP_PeekTA_CDLSPINNINGTOP_UpdateTA_CDLSPINNINGTOP_ValueTA_CDLSTALLEDPATTERNTA_CDLSTALLEDPATTERN_CloneTA_CDLSTALLEDPATTERN_OpenTA_CDLSTALLEDPATTERN_OpenAndFillTA_CDLSTALLEDPATTERN_PeekTA_CDLSTALLEDPATTERN_UpdateTA_CDLSTALLEDPATTERN_ValueTA_CDLSTICKSANDWICHTA_CDLSTICKSANDWICH_CloneTA_CDLSTICKSANDWICH_OpenTA_CDLSTICKSANDWICH_OpenAndFillTA_CDLSTICKSANDWICH_PeekTA_CDLSTICKSANDWICH_UpdateTA_CDLSTICKSANDWICH_ValueTA_CDLTAKURITA_CDLTAKURI_CloneTA_CDLTAKURI_OpenTA_CDLTAKURI_OpenAndFillTA_CDLTAKURI_PeekTA_CDLTAKURI_UpdateTA_CDLTAKURI_ValueTA_CDLTASUKIGAPTA_CDLTASUKIGAP_CloneTA_CDLTASUKIGAP_OpenTA_CDLTASUKIGAP_OpenAndFillTA_CDLTASUKIGAP_PeekTA_CDLTASUKIGAP_UpdateTA_CDLTASUKIGAP_ValueTA_CDLTHRUSTINGTA_CDLTHRUSTING_CloneTA_CDLTHRUSTING_OpenTA_CDLTHRUSTING_OpenAndFillTA_CDLTHRUSTING_PeekTA_CDLTHRUSTING_UpdateTA_CDLTHRUSTING_ValueTA_CDLTRISTARTA_CDLTRISTAR_CloneTA_CDLTRISTAR_OpenTA_CDLTRISTAR_OpenAndFillTA_CDLTRISTAR_PeekTA_CDLTRISTAR_UpdateTA_CDLTRISTAR_ValueTA_CDLUNIQUE3RIVERTA_CDLUNIQUE3RIVER_CloneTA_CDLUNIQUE3RIVER_OpenTA_CDLUNIQUE3RIVER_OpenAndFillTA_CDLUNIQUE3RIVER_PeekTA_CDLUNIQUE3RIVER_UpdateTA_CDLUNIQUE3RIVER_ValueTA_CDLUPSIDEGAP2CROWSTA_CDLUPSIDEGAP2CROWS_CloneTA_CDLUPSIDEGAP2CROWS_OpenTA_CDLUPSIDEGAP2CROWS_OpenAndFillTA_CDLUPSIDEGAP2CROWS_PeekTA_CDLUPSIDEGAP2CROWS_UpdateTA_CDLUPSIDEGAP2CROWS_ValueTA_CDLXSIDEGAP3METHODSTA_CDLXSIDEGAP3METHODS_CloneTA_CDLXSIDEGAP3METHODS_OpenTA_CDLXSIDEGAP3METHODS_OpenAndFillTA_CDLXSIDEGAP3METHODS_PeekTA_CDLXSIDEGAP3METHODS_UpdateTA_CDLXSIDEGAP3METHODS_""ValueTA_CEILTA_CEIL_CloneTA_CEIL_OpenTA_CEIL_OpenAndFillTA_CEIL_PeekTA_CEIL_UpdateTA_CEIL_ValueTA_CMFTA_CMF_CloneTA_CMF_OpenTA_CMF_OpenAndFillTA_CMF_PeekTA_CMF_UpdateTA_CMF_ValueTA_CMOTA_CMOUTA_CMOU_CloneTA_CMOU_OpenTA_CMOU_OpenAndFillTA_CMOU_PeekTA_CMOU_UpdateTA_CMOU_ValueTA_CMO_CloneTA_CMO_OpenTA_CMO_OpenAndFillTA_CMO_PeekTA_CMO_UpdateTA_CMO_ValueTA_COPPOCKTA_COPPOCK_CloneTA_COPPOCK_OpenTA_COPPOCK_OpenAndFillTA_COPPOCK_PeekTA_COPPOCK_UpdateTA_COPPOCK_ValueTA_CORRELTA_CORREL_CloneTA_CORREL_OpenTA_CORREL_OpenAndFillTA_CORREL_PeekTA_CORREL_UpdateTA_CORREL_ValueTA_COSTA_COSHTA_COSH_CloneTA_COSH_OpenTA_COSH_OpenAndFillTA_COSH_PeekTA_COSH_UpdateTA_COSH_ValueTA_COS_CloneTA_COS_OpenTA_COS_OpenAndFillTA_COS_PeekTA_COS_UpdateTA_COS_ValueTA_CUMSUMTA_CUMSUM_CloneTA_CUMSUM_OpenTA_CUMSUM_OpenAndFillTA_CUMSUM_PeekTA_CUMSUM_UpdateTA_CUMSUM_ValueTA_CVITA_CVI_CloneTA_CVI_OpenTA_CVI_OpenAndFillTA_CVI_PeekTA_CVI_UpdateTA_CVI_ValueTA_DEMATA_DEMA_CloneTA_DEMA_OpenTA_DEMA_OpenAndFillTA_DEMA_PeekTA_DEMA_UpdateTA_DEMA_ValueTA_DIVTA_DIV_CloneTA_DIV_OpenTA_DIV_OpenAndFillTA_DIV_PeekTA_DIV_UpdateTA_DIV_ValueTA_DONCHIANTA_DONCHIAN_CloneTA_DONCHIAN_OpenTA_DONCHIAN_OpenAndFillTA_DONCHIAN_PeekTA_DONCHIAN_UpdateTA_DONCHIAN_ValueTA_DPOTA_DPO_CloneTA_DPO_OpenTA_DPO_OpenAndFillTA_DPO_PeekTA_DPO_UpdateTA_DPO_ValueTA_DXTA_DX_CloneTA_DX_OpenTA_DX_OpenAndFillTA_DX_PeekTA_DX_UpdateTA_DX_ValueTA_EFITA_EFI_CloneTA_EFI_OpenTA_EFI_OpenAndFillTA_EFI_PeekTA_EFI_UpdateTA_EFI_ValueTA_EMATA_EMA_CloneTA_EMA_OpenTA_EMA_OpenAndFillTA_EMA_PeekTA_EMA_UpdateTA_EMA_ValueTA_ERTA_ERITA_ERI_CloneTA_ERI_OpenTA_ERI_OpenAndFillTA_ERI_PeekTA_ERI_UpdateTA_ERI_ValueTA_ER_CloneTA_ER_OpenTA_ER_OpenAndFillTA_ER_PeekTA_ER_UpdateTA_ER_ValueTA_EXPTA_EXP_CloneTA_EXP_OpenTA_EXP_OpenAndFillTA_EXP_PeekTA_EXP_UpdateTA_EXP_ValueTA_FLOORTA_FLOOR_CloneTA_FLOOR_OpenTA_FLOOR_OpenAndFillTA_FLOOR_PeekTA_FLOOR_UpdateTA_FLOOR_ValueTA_FOSCTA_FOSC_CloneTA_FOSC_OpenTA_FOSC_OpenAndFillTA_FOSC_PeekTA_FOSC_UpdateTA_FOSC_ValueTA_FRACTALTA_FRACTAL_CloneTA_""FRACTAL_OpenTA_FRACTAL_OpenAndFillTA_FRACTAL_PeekTA_FRACTAL_UpdateTA_FRACTAL_Value__TA_FUNCTION_NAMES__TA_FUNC_FLAGSTA_FuncTableAllocTA_FuncTableFreeTA_GetFuncHandleTA_GetFuncInfoTA_GetInputParameterInfoTA_GetLookbackTA_GetOptInputParameterInfoTA_GetOutputParameterInfoTA_GroupTableAllocTA_GroupTableFreeTA_HATA_HA_CloneTA_HA_OpenTA_HA_OpenAndFillTA_HA_PeekTA_HA_UpdateTA_HA_ValueTA_HMATA_HMA_CloneTA_HMA_OpenTA_HMA_OpenAndFillTA_HMA_PeekTA_HMA_UpdateTA_HMA_ValueTA_HT_DCPERIODTA_HT_DCPERIOD_CloneTA_HT_DCPERIOD_OpenTA_HT_DCPERIOD_OpenAndFillTA_HT_DCPERIOD_PeekTA_HT_DCPERIOD_UpdateTA_HT_DCPERIOD_ValueTA_HT_DCPHASETA_HT_DCPHASE_CloneTA_HT_DCPHASE_OpenTA_HT_DCPHASE_OpenAndFillTA_HT_DCPHASE_PeekTA_HT_DCPHASE_UpdateTA_HT_DCPHASE_ValueTA_HT_PHASORTA_HT_PHASOR_CloneTA_HT_PHASOR_OpenTA_HT_PHASOR_OpenAndFillTA_HT_PHASOR_PeekTA_HT_PHASOR_UpdateTA_HT_PHASOR_ValueTA_HT_SINETA_HT_SINE_CloneTA_HT_SINE_OpenTA_HT_SINE_OpenAndFillTA_HT_SINE_PeekTA_HT_SINE_UpdateTA_HT_SINE_ValueTA_HT_TRENDLINETA_HT_TRENDLINE_CloneTA_HT_TRENDLINE_OpenTA_HT_TRENDLINE_OpenAndFillTA_HT_TRENDLINE_PeekTA_HT_TRENDLINE_UpdateTA_HT_TRENDLINE_ValueTA_HT_TRENDMODETA_HT_TRENDMODE_CloneTA_HT_TRENDMODE_OpenTA_HT_TRENDMODE_OpenAndFillTA_HT_TRENDMODE_PeekTA_HT_TRENDMODE_UpdateTA_HT_TRENDMODE_ValueTA_IMITA_IMI_CloneTA_IMI_OpenTA_IMI_OpenAndFillTA_IMI_PeekTA_IMI_UpdateTA_IMI_ValueTA_INPUT_FLAGSTA_InitializeTA_KAMATA_KAMA_CloneTA_KAMA_OpenTA_KAMA_OpenAndFillTA_KAMA_PeekTA_KAMA_UpdateTA_KAMA_ValueTA_KCTA_KC_CloneTA_KC_OpenTA_KC_OpenAndFillTA_KC_PeekTA_KC_UpdateTA_KC_ValueTA_KDJTA_KDJ_CloneTA_KDJ_OpenTA_KDJ_OpenAndFillTA_KDJ_PeekTA_KDJ_UpdateTA_KDJ_ValueTA_LINEARREGTA_LINEARREG_ANGLETA_LINEARREG_ANGLE_CloneTA_LINEARREG_ANGLE_OpenTA_LINEARREG_ANGLE_OpenAndFillTA_LINEARREG_ANGLE_PeekTA_LINEARREG_ANGLE_UpdateTA_LINEARREG_ANGLE_ValueTA_LINEARREG_CloneTA_LINEARREG_INTERCEPTTA_LINEARREG_INTERCEPT_CloneTA_LINEARREG_INTERCEPT_OpenTA_LINEARREG_INTERCEPT_OpenAndFillTA_LINEARREG_INTERCEPT_PeekTA_LINEARREG_INTERCEPT_UpdateTA_LINEARREG_IN""TERCEPT_ValueTA_LINEARREG_OpenTA_LINEARREG_OpenAndFillTA_LINEARREG_PeekTA_LINEARREG_SLOPETA_LINEARREG_SLOPE_CloneTA_LINEARREG_SLOPE_OpenTA_LINEARREG_SLOPE_OpenAndFillTA_LINEARREG_SLOPE_PeekTA_LINEARREG_SLOPE_UpdateTA_LINEARREG_SLOPE_ValueTA_LINEARREG_UpdateTA_LINEARREG_ValueTA_LNTA_LN_CloneTA_LN_OpenTA_LN_OpenAndFillTA_LN_PeekTA_LN_UpdateTA_LN_ValueTA_LOG10TA_LOG10_CloneTA_LOG10_OpenTA_LOG10_OpenAndFillTA_LOG10_PeekTA_LOG10_UpdateTA_LOG10_ValueTA_MATA_MACDTA_MACDEXTTA_MACDEXT_CloneTA_MACDEXT_OpenTA_MACDEXT_OpenAndFillTA_MACDEXT_PeekTA_MACDEXT_UpdateTA_MACDEXT_ValueTA_MACDFIXTA_MACDFIX_CloneTA_MACDFIX_OpenTA_MACDFIX_OpenAndFillTA_MACDFIX_PeekTA_MACDFIX_UpdateTA_MACDFIX_ValueTA_MACD_CloneTA_MACD_OpenTA_MACD_OpenAndFillTA_MACD_PeekTA_MACD_UpdateTA_MACD_ValueTA_MAMATA_MAMA_CloneTA_MAMA_OpenTA_MAMA_OpenAndFillTA_MAMA_PeekTA_MAMA_UpdateTA_MAMA_ValueTA_MARKETFITA_MARKETFI_CloneTA_MARKETFI_OpenTA_MARKETFI_OpenAndFillTA_MARKETFI_PeekTA_MARKETFI_UpdateTA_MARKETFI_ValueTA_MASSITA_MASSI_CloneTA_MASSI_OpenTA_MASSI_OpenAndFillTA_MASSI_PeekTA_MASSI_UpdateTA_MASSI_ValueTA_MAVPTA_MAVP_CloneTA_MAVP_OpenTA_MAVP_OpenAndFillTA_MAVP_PeekTA_MAVP_UpdateTA_MAVP_ValueTA_MAXTA_MAXINDEXTA_MAXINDEX_CloneTA_MAXINDEX_OpenTA_MAXINDEX_OpenAndFillTA_MAXINDEX_PeekTA_MAXINDEX_UpdateTA_MAXINDEX_ValueTA_MAX_CloneTA_MAX_OpenTA_MAX_OpenAndFillTA_MAX_PeekTA_MAX_UpdateTA_MAX_ValueTA_MA_CloneTA_MA_OpenTA_MA_OpenAndFillTA_MA_PeekTA_MA_UpdateTA_MA_ValueTA_MEDPRICETA_MEDPRICE_CloneTA_MEDPRICE_OpenTA_MEDPRICE_OpenAndFillTA_MEDPRICE_PeekTA_MEDPRICE_UpdateTA_MEDPRICE_ValueTA_MFITA_MFI_CloneTA_MFI_OpenTA_MFI_OpenAndFillTA_MFI_PeekTA_MFI_UpdateTA_MFI_ValueTA_MIDPOINTTA_MIDPOINT_CloneTA_MIDPOINT_OpenTA_MIDPOINT_OpenAndFillTA_MIDPOINT_PeekTA_MIDPOINT_UpdateTA_MIDPOINT_ValueTA_MIDPRICETA_MIDPRICE_CloneTA_MIDPRICE_OpenTA_MIDPRICE_OpenAndFillTA_MIDPRICE_PeekTA_MIDPRICE_UpdateTA_MIDPRICE_ValueTA_MINTA_MININDEXTA_MININDEX_CloneTA_MININDEX_OpenTA_MININDEX_OpenAndFillTA_MININDEX_PeekTA_MININDEX_UpdateTA_MININDEX_ValueTA_MINM""AXTA_MINMAXINDEXTA_MINMAXINDEX_CloneTA_MINMAXINDEX_OpenTA_MINMAXINDEX_OpenAndFillTA_MINMAXINDEX_PeekTA_MINMAXINDEX_UpdateTA_MINMAXINDEX_ValueTA_MINMAX_CloneTA_MINMAX_OpenTA_MINMAX_OpenAndFillTA_MINMAX_PeekTA_MINMAX_UpdateTA_MINMAX_ValueTA_MINUS_DITA_MINUS_DI_CloneTA_MINUS_DI_OpenTA_MINUS_DI_OpenAndFillTA_MINUS_DI_PeekTA_MINUS_DI_UpdateTA_MINUS_DI_ValueTA_MINUS_DMTA_MINUS_DM_CloneTA_MINUS_DM_OpenTA_MINUS_DM_OpenAndFillTA_MINUS_DM_PeekTA_MINUS_DM_UpdateTA_MINUS_DM_ValueTA_MIN_CloneTA_MIN_OpenTA_MIN_OpenAndFillTA_MIN_PeekTA_MIN_UpdateTA_MIN_ValueTA_MOMTA_MOM_CloneTA_MOM_OpenTA_MOM_OpenAndFillTA_MOM_PeekTA_MOM_UpdateTA_MOM_ValueTA_MULTTA_MULT_CloneTA_MULT_OpenTA_MULT_OpenAndFillTA_MULT_PeekTA_MULT_UpdateTA_MULT_ValueTA_NATRTA_NATR_CloneTA_NATR_OpenTA_NATR_OpenAndFillTA_NATR_PeekTA_NATR_UpdateTA_NATR_ValueTA_NVITA_NVI_CloneTA_NVI_OpenTA_NVI_OpenAndFillTA_NVI_PeekTA_NVI_UpdateTA_NVI_ValueTA_OBVTA_OBV_CloneTA_OBV_OpenTA_OBV_OpenAndFillTA_OBV_PeekTA_OBV_UpdateTA_OBV_ValueTA_OUTPUT_FLAGSTA_PERCENTILETA_PERCENTILE_CloneTA_PERCENTILE_OpenTA_PERCENTILE_OpenAndFillTA_PERCENTILE_PeekTA_PERCENTILE_UpdateTA_PERCENTILE_ValueTA_PERCENTRANKTA_PERCENTRANK_CloneTA_PERCENTRANK_OpenTA_PERCENTRANK_OpenAndFillTA_PERCENTRANK_PeekTA_PE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PyObject *data = NULL; CYTHON_UNUSED_VAR(__Pyx_DecompressString); #endif PyObject **stringtab = __pyx_mstate->__pyx_string_tab; Py_ssize_t pos = 0; - for (int i = 0; i < 1116; i++) { + for (int i = 0; i < 2601; i++) { Py_ssize_t bytes_length = index[i].length; PyObject *string = PyUnicode_DecodeUTF8(bytes + pos, bytes_length, NULL); - if (likely(string) && i >= 113) PyUnicode_InternInPlace(&string); + if (likely(string) && i >= 144) PyUnicode_InternInPlace(&string); if (unlikely(!string)) { Py_XDECREF(data); __PYX_ERR(0, 1, __pyx_L1_error) @@ -104942,7 +303866,7 @@ const char* const bytes = ": 3ADXR has no unstable period of its own; it follows stringtab[i] = string; pos += bytes_length; } - for (int i = 1116; i < 1383; i++) { + for (int i = 2601; i < 2870; i++) { Py_ssize_t bytes_length = index[i].length; PyObject *string = PyBytes_FromStringAndSize(bytes + pos, bytes_length); stringtab[i] = string; @@ -104953,15 +303877,15 @@ const char* const bytes = ": 3ADXR has no unstable period of its own; it follows } } Py_XDECREF(data); - for (Py_ssize_t i = 0; i < 1383; i++) { + for (Py_ssize_t i = 0; i < 2870; i++) { if (unlikely(PyObject_Hash(stringtab[i]) == -1)) { __PYX_ERR(0, 1, __pyx_L1_error) } } #if CYTHON_IMMORTAL_CONSTANTS { - PyObject **table = stringtab + 1116; - for (Py_ssize_t i=0; i<267; ++i) { + PyObject **table = stringtab + 2601; + for (Py_ssize_t i=0; i<269; ++i) { #if PY_VERSION_HEX >= 0x030F0000 PyUnstable_SetImmortal(table[i]); #elif CYTHON_COMPILING_IN_CPYTHON_FREETHREADING @@ -104983,19 +303907,28 @@ const char* const bytes = ": 3ADXR has no unstable period of its own; it follows #endif } { - PyObject **numbertab = __pyx_mstate->__pyx_number_tab + 0; - int8_t const cint_constants_1[] = {0,-1,1,2,3,4,8,12,14,16,32,64}; + PyObject **numbertab = __pyx_mstate->__pyx_number_tab; + double const c_constants[] = {0.2,0.3,0.5,3.0,0.02,-4e37,50.0}; + for (int i = 0; i < 7; i++) { + numbertab[i] = PyFloat_FromDouble(c_constants[i]); + if (unlikely(!numbertab[i])) __PYX_ERR(0, 1, __pyx_L1_error) + } + } + { + PyObject **numbertab = __pyx_mstate->__pyx_number_tab + 7; + int8_t const cint_constants_1[] = {0,-1,1,2,3,4,8,12,13,14,16,32,64}; int16_t const cint_constants_2[] = {128,256,512,1024,2048,4096,8192}; int32_t const cint_constants_4[] = {16777216L,33554432L,67108864L,134217728L,268435456L,536870912L,1073741824L}; - for (int i = 0; i < 26; i++) { - numbertab[i] = PyLong_FromLong((i < 12 ? cint_constants_1[i - 0] : (i < 19 ? cint_constants_2[i - 12] : cint_constants_4[i - 19]))); + int64_t const cint_constants_8[] = {-2147483648LL}; + for (int i = 0; i < 28; i++) { + numbertab[i] = PyLong_FromLongLong((i < 13 ? cint_constants_1[i - 0] : (i < 20 ? cint_constants_2[i - 13] : (i < 27 ? cint_constants_4[i - 20] : cint_constants_8[i - 27])))); if (unlikely(!numbertab[i])) __PYX_ERR(0, 1, __pyx_L1_error) } } #if CYTHON_IMMORTAL_CONSTANTS { PyObject **table = __pyx_mstate->__pyx_number_tab; - for (Py_ssize_t i=0; i<26; ++i) { + for (Py_ssize_t i=0; i<35; ++i) { #if PY_VERSION_HEX >= 0x030F0000 PyUnstable_SetImmortal(table[i]); #elif CYTHON_COMPILING_IN_CPYTHON_FREETHREADING @@ -105026,7 +303959,7 @@ typedef struct { unsigned int num_kwonly_args : 1; unsigned int nlocals : 5; unsigned int flags : 10; - unsigned int first_line : 13; + unsigned int first_line : 15; } __Pyx_PyCode_New_function_description; /* NewCodeObj.proto */ static PyObject* __Pyx_PyCode_New( @@ -105043,62 +303976,62 @@ static int __Pyx_CreateCodeObjects(__pyx_mstatetype *__pyx_mstate) { PyObject* tuple_dedup_map = PyDict_New(); if (unlikely(!tuple_dedup_map)) return -1; { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 2, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 8}; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 2, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 15}; PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_function_name, __pyx_mstate->__pyx_n_u_ret_code}; __pyx_mstate_global->__pyx_codeobj_tab[0] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__common_pxi, __pyx_mstate->__pyx_n_u_ta_check_success, __pyx_mstate->__pyx_kp_b_iso88591_y_1_q_Q_a_Q_a_Q_a_Q_a_Q_a_Q_a_Q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[0])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {0, 0, 0, 1, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 54}; + const __Pyx_PyCode_New_function_description descr = {0, 0, 0, 1, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 62}; PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_ret_code}; __pyx_mstate_global->__pyx_codeobj_tab[1] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__common_pxi, __pyx_mstate->__pyx_n_u_ta_initialize, __pyx_mstate->__pyx_kp_b_iso88591_Q_q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[1])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {0, 0, 0, 1, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 59}; + const __Pyx_PyCode_New_function_description descr = {0, 0, 0, 1, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 67}; PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_ret_code}; __pyx_mstate_global->__pyx_codeobj_tab[2] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__common_pxi, __pyx_mstate->__pyx_n_u_ta_shutdown, __pyx_mstate->__pyx_kp_b_iso88591_a_QoQ, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[2])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 1, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 68}; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 1, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 76}; PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_self}; __pyx_mstate_global->__pyx_codeobj_tab[3] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__common_pxi, __pyx_mstate->__pyx_n_u_init, __pyx_mstate->__pyx_kp_b_iso88591_A_A_6_6_6_7_7_81_7_7_5_6_a_Q_81, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[3])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 2, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 86}; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 2, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 94}; PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_self, __pyx_mstate->__pyx_n_u_type}; __pyx_mstate_global->__pyx_codeobj_tab[4] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__common_pxi, __pyx_mstate->__pyx_n_u_getitem, __pyx_mstate->__pyx_kp_b_iso88591_A_t81A, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[4])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 1, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 135}; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 1, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 143}; PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_name}; __pyx_mstate_global->__pyx_codeobj_tab[5] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__common_pxi, __pyx_mstate->__pyx_n_u_ta_func_unst_id, __pyx_mstate->__pyx_kp_b_iso88591_uCq_Q_1A_1_q_AQ, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[5])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 5, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 144}; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 5, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 152}; PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_name, __pyx_mstate->__pyx_n_u_period, __pyx_mstate->__pyx_n_u_ret_code, __pyx_mstate->__pyx_n_u_id, __pyx_mstate->__pyx_n_u_unst_id}; __pyx_mstate_global->__pyx_codeobj_tab[6] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__common_pxi, __pyx_mstate->__pyx_n_u_ta_set_unstable_period, __pyx_mstate->__pyx_kp_b_iso88591_aq_xs_q_A_Q_a, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[6])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 4, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 154}; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 4, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 162}; PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_name, __pyx_mstate->__pyx_n_u_period, __pyx_mstate->__pyx_n_u_id, __pyx_mstate->__pyx_n_u_unst_id}; __pyx_mstate_global->__pyx_codeobj_tab[7] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__common_pxi, __pyx_mstate->__pyx_n_u_ta_get_unstable_period, __pyx_mstate->__pyx_kp_b_iso88591_aq_xs_q_Qa_1, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[7])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 2, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 164}; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 2, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 172}; PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_value, __pyx_mstate->__pyx_n_u_ret_code}; __pyx_mstate_global->__pyx_codeobj_tab[8] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__common_pxi, __pyx_mstate->__pyx_n_u_ta_set_compatibility, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_Q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[8])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {0, 0, 0, 1, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 169}; + const __Pyx_PyCode_New_function_description descr = {0, 0, 0, 1, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 177}; PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_value}; __pyx_mstate_global->__pyx_codeobj_tab[9] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__common_pxi, __pyx_mstate->__pyx_n_u_ta_get_compatibility, __pyx_mstate->__pyx_kp_b_iso88591_1_1, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[9])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 5, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 186}; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 5, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 194}; PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_settingtype, __pyx_mstate->__pyx_n_u_rangetype, __pyx_mstate->__pyx_n_u_avgperiod, __pyx_mstate->__pyx_n_u_factor, __pyx_mstate->__pyx_n_u_ret_code}; __pyx_mstate_global->__pyx_codeobj_tab[10] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__common_pxi, __pyx_mstate->__pyx_n_u_ta_set_candle_settings, __pyx_mstate->__pyx_kp_b_iso88591_q_1_Q_a, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[10])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 2, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 191}; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 2, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 199}; PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_settingtype, __pyx_mstate->__pyx_n_u_ret_code}; __pyx_mstate_global->__pyx_codeobj_tab[11] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__common_pxi, __pyx_mstate->__pyx_n_u_ta_restore_candle_default_setti, __pyx_mstate->__pyx_kp_b_iso88591_2_1_Q_9, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[11])) goto bad; } @@ -106288,1009 +305221,1024 @@ static int __Pyx_CreateCodeObjects(__pyx_mstatetype *__pyx_mstate) { __pyx_mstate_global->__pyx_codeobj_tab[248] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__abstract_pxi, __pyx_mstate->__pyx_n_u_get_defaults_and_docs, __pyx_mstate->__pyx_kp_b_iso88591_q_9A_1_q_1_1_1A_q_a_1A_4z_A_G1, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[248])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 12, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 9}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_fastperiod, __pyx_mstate->__pyx_n_u_slowperiod, __pyx_mstate->__pyx_n_u_signalperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[249] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_AC, __pyx_mstate->__pyx_kp_b_iso88591_D_ttu_aq_Q_Qa_y_1_6_a_r_xr_V82T, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[249])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 1, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2532}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_self}; + __pyx_mstate_global->__pyx_codeobj_tab[249] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_copy_2, __pyx_mstate->__pyx_kp_b_iso88591_A_t5, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[249])) goto bad; + } + { + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 2, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2535}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_self, __pyx_mstate->__pyx_n_u_memo}; + __pyx_mstate_global->__pyx_codeobj_tab[250] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_deepcopy, __pyx_mstate->__pyx_kp_b_iso88591_A_t5, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[250])) goto bad; + } + { + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 1, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2538}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_self}; + __pyx_mstate_global->__pyx_codeobj_tab[251] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_reduce, __pyx_mstate->__pyx_kp_b_iso88591_A_iq_46d_5, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[251])) goto bad; + } + { + const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 18, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2581}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_fastperiod, __pyx_mstate->__pyx_n_u_slowperiod, __pyx_mstate->__pyx_n_u_signalperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[252] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A0GG_a_aq_Qa_XQ_aq_axq_oQha_G5_q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[252])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 43}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outrealupperband, __pyx_mstate->__pyx_n_u_outrealmiddleband, __pyx_mstate->__pyx_n_u_outreallowerband}; - __pyx_mstate_global->__pyx_codeobj_tab[250] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_ACCBANDS, __pyx_mstate->__pyx_kp_b_iso88591_fg2_aq_Q_Qa_y_1_Kq_q_6_a_q_q_Rv, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[250])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 20, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2686}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outupperband, __pyx_mstate->__pyx_n_u_outmiddleband, __pyx_mstate->__pyx_n_u_outlowerband, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[253] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A78_aq_Qa_q_XWA_aq_axq_oQha_G5_Q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[253])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 7, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 84}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[251] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_ACOS, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_6_4vXRt_qP_llmmn_Qk, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[251])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2790}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[254] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_9_31HA_a_5, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[254])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 111}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_volume_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[252] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_AD, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_Qa_y_1_Kq_q_6_6_gQ_a_r_xr, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[252])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2887}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_a_volume, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[255] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Qa_q_XWIQ_aq_axq_oQha_G5_q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[255])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 9, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 147}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real0, __pyx_mstate->__pyx_n_u_real1, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real0_data, __pyx_mstate->__pyx_n_u_real1_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[253] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_ADD, __pyx_mstate->__pyx_kp_b_iso88591_Kq_q_Kq_q_7_a_fHBd_iijjyyzz_Qj, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[253])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 15, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2986}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real0, __pyx_mstate->__pyx_n_u_real1, __pyx_mstate->__pyx_n_u_a_real0, __pyx_mstate->__pyx_n_u_a_real1, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[256] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_q_q_Ya_aq_axq_oQha_G5_8_31HA_Q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[256])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {6, 0, 0, 15, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 178}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_fastperiod, __pyx_mstate->__pyx_n_u_slowperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_volume_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[254] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_ADOSC, __pyx_mstate->__pyx_kp_b_iso88591_A_Y_Y_Z_aq_Q_Qa_y_1_Kq_q_6_6_gQ, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[254])) goto bad; + const __Pyx_PyCode_New_function_description descr = {6, 0, 0, 21, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3087}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_fastperiod, __pyx_mstate->__pyx_n_u_slowperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_a_volume, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[257] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_VVW_aq_Qa_q_XWIQ_aq_axq_oQha_G, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[257])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 10, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 217}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[255] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_ADR, __pyx_mstate->__pyx_kp_b_iso88591_EF_aq_Q_Qa_y_1_6_a_fHBd_kYffggs, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[255])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3187}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[258] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A01_aq_Qa_XQ_aq_axq_oQha_G5_8_31, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[258])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 12, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 249}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[256] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_ADX, __pyx_mstate->__pyx_kp_b_iso88591_ab_aq_Q_Qa_y_1_Kq_q_6_a_a_fHBd, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[256])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 18, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3286}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[259] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A78_aq_Qa_q_XWA_aq_axq_oQha_G5_8, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[259])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 12, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 284}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[257] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_ADXR, __pyx_mstate->__pyx_kp_b_iso88591_bc_aq_Q_Qa_y_1_Kq_q_6_a_a_6_4vX, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[257])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 18, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3386}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[260] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A78_aq_Qa_q_XWA_aq_axq_oQha_G5_9, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[260])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 11, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 319}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_fastperiod, __pyx_mstate->__pyx_n_u_slowperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[258] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_AO, __pyx_mstate->__pyx_kp_b_iso88591_D_aq_Q_Qa_y_1_6_a_r_xr_V82T_Xee, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[258])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 17, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3486}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_fastperiod, __pyx_mstate->__pyx_n_u_slowperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[261] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A0Gq_aq_Qa_XQ_aq_axq_oQha_G5_q_A, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[261])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 10, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 352}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_fastperiod, __pyx_mstate->__pyx_n_u_slowperiod, __pyx_mstate->__pyx_n_u_matype, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[259] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_APO, __pyx_mstate->__pyx_kp_b_iso88591_CC_aq_Q_T_q_a_fHBd_m_hhqqrr_O_O, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[259])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3585}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_fastperiod, __pyx_mstate->__pyx_n_u_slowperiod, __pyx_mstate->__pyx_n_u_matype, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[262] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_BBUUV_aq_Q_aq_axq_oQha_G5_8_QR, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[262])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 11, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 383}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outaroondown, __pyx_mstate->__pyx_n_u_outaroonup}; - __pyx_mstate_global->__pyx_codeobj_tab[260] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_AROON, __pyx_mstate->__pyx_kp_b_iso88591_GH_aq_Q_Qa_y_1_6_1_F_D_hb_LP_hh, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[260])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 17, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3686}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outaroondown, __pyx_mstate->__pyx_n_u_outaroonup, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[263] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A01_aq_Qa_XQ_aq_axq_oQha_G5_1_8, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[263])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 10, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 418}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[261] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_AROONOSC, __pyx_mstate->__pyx_kp_b_iso88591_JK_aq_Q_Qa_y_1_6_a_RvXRt6_4_S_k, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[261])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3788}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[264] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A01_aq_Qa_XQ_aq_axq_oQha_G5_Qa_3, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[264])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 7, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 450}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[262] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_ASIN, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_6_4vXRt_qP_llmmn_Qk, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[262])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3883}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[265] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_9_31HA_a_5, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[265])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 7, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 477}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[263] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_ATAN, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_6_4vXRt_qP_llmmn_Qk, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[263])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3977}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[266] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_9_31HA_a_5, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[266])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 12, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 504}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[264] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_ATR, __pyx_mstate->__pyx_kp_b_iso88591_ab_aq_Q_Qa_y_1_Kq_q_6_a_a_fHBd, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[264])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 18, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4075}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[267] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A78_aq_Qa_q_XWA_aq_axq_oQha_G5_8, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[267])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 539}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[265] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_AVGDEV, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_2V82T_xr_Q___kkll_Qm, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[265])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4173}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[268] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_1A_31HA_7q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[268])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 568}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[266] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_AVGPRICE, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_a_Rv, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[266])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4270}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[269] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[269])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 604}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_nbdevup, __pyx_mstate->__pyx_n_u_nbdevdn, __pyx_mstate->__pyx_n_u_matype, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outrealupperband, __pyx_mstate->__pyx_n_u_outrealmiddleband, __pyx_mstate->__pyx_n_u_outreallowerband}; - __pyx_mstate_global->__pyx_codeobj_tab[267] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_BBANDS, __pyx_mstate->__pyx_kp_b_iso88591_FF_ttu4_aq_Q_T_q_q_q_2V82T_xr_Q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[267])) goto bad; + const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4378}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_nbdevup, __pyx_mstate->__pyx_n_u_nbdevdn, __pyx_mstate->__pyx_n_u_matype, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outupperband, __pyx_mstate->__pyx_n_u_outmiddleband, __pyx_mstate->__pyx_n_u_outlowerband, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[270] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_BBXXjjk_aq_Q_aq_axq_oQha_G5_1L, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[270])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 10, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 642}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real0, __pyx_mstate->__pyx_n_u_real1, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real0_data, __pyx_mstate->__pyx_n_u_real1_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[268] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_BETA, __pyx_mstate->__pyx_kp_b_iso88591_IJ_Kq_q_Kq_q_7_a_6_4vXRt_P_jjkk, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[268])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4484}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real0, __pyx_mstate->__pyx_n_u_real1, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real0, __pyx_mstate->__pyx_n_u_a_real1, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[271] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A34_q_q_Ya_aq_axq_oQha_G5_9_31HA, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[271])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 675}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[269] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_BOP, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_a_fH, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[269])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4582}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[272] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[272])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 12, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 711}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[270] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CCI, __pyx_mstate->__pyx_kp_b_iso88591_ab_aq_Q_Qa_y_1_Kq_q_6_a_a_fHBd, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[270])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 18, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4683}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[273] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A78_aq_Qa_q_XWA_aq_axq_oQha_G5_8, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[273])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 746}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[271] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDL2CROWS, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_b_hb, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[271])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4782}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[274] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_3, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[274])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 782}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[272] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDL3BLACKCROWS, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_2V82, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[272])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4882}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[275] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[275])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 818}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[273] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDL3INSIDE, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_r_xr, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[273])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4982}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[276] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_5, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[276])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 854}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[274] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDL3LINESTRIKE, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_2V82, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[274])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5082}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[277] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[277])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 890}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[275] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDL3OUTSIDE, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_fHBd, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[275])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5182}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[278] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_6, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[278])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 926}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[276] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDL3STARSINSOUTH, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_RvXR, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[276])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5282}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[279] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_7, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[279])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 962}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[277] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDL3WHITESOLDIERS, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_b_hb_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[277])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5382}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[280] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_8, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[280])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 998}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_penetration, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[278] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLABANDONEDBABY, __pyx_mstate->__pyx_kp_b_iso88591_J_K_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[278])) goto bad; + const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 20, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5484}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_penetration, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[281] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_AAB_aq_aq_Qa_q_XXWA_aq_axq_oQha, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[281])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1036}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[279] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLADVANCEBLOCK, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_BfHB, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[279])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5584}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[282] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_9, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[282])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1072}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[280] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLBELTHOLD, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_fHBd, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[280])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5684}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[283] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_6, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[283])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1108}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[281] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLBREAKAWAY, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_6_4v, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[281])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5784}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[284] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_10, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[284])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1144}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[282] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLCLOSINGMARUBOZU, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_r_xr_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[282])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5884}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[285] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_11, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[285])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1180}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[283] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLCONCEALBABYSWALL, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_fHBd_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[283])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5984}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[286] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_12, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[286])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1216}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[284] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLCOUNTERATTACK, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_RvXR, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[284])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6084}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[287] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_7, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[287])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1252}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_penetration, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[285] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLDARKCLOUDCOVER, __pyx_mstate->__pyx_kp_b_iso88591_K_L_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[285])) goto bad; + const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 20, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6186}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_penetration, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[288] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_AAB_aq_aq_Qa_q_XXWA_aq_axq_oQha_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[288])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1290}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[286] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLDOJI, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_BfHB_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[286])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6286}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[289] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_13, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[289])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1326}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[287] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLDOJISTAR, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_fHBd, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[287])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6386}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[290] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_6, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[290])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1362}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[288] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLDRAGONFLYDOJI, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_RvXR, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[288])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6486}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[291] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_7, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[291])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1398}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[289] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLENGULFING, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_6_4v, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[289])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6586}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[292] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_10, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[292])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1434}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_penetration, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[290] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLEVENINGDOJISTAR, __pyx_mstate->__pyx_kp_b_iso88591_L_M_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[290])) goto bad; + const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 20, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6688}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_penetration, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[293] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_AAB_aq_aq_Qa_q_XXWA_aq_axq_oQha_3, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[293])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1472}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_penetration, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[291] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLEVENINGSTAR, __pyx_mstate->__pyx_kp_b_iso88591_H_I_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[291])) goto bad; + const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 20, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6790}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_penetration, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[294] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_AAB_aq_aq_Qa_q_XXWA_aq_axq_oQha_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[294])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1510}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[292] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLGAPSIDESIDEWHITE, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_fHBd_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[292])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6890}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[295] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_12, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[295])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1546}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[293] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLGRAVESTONEDOJI, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_b_hb_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[293])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6990}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[296] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_8, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[296])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1582}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[294] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLHAMMER, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_b_hb, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[294])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 7090}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[297] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_3, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[297])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1618}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[295] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLHANGINGMAN, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_F_D, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[295])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 7190}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[298] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_14, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[298])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1654}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[296] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLHARAMI, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_b_hb, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[296])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 7290}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[299] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_3, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[299])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1690}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[297] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLHARAMICROSS, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_2V82, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[297])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 7390}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[300] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[300])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1726}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[298] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLHIGHWAVE, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_fHBd, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[298])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 7490}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[301] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_6, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[301])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1762}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[299] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLHIKKAKE, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_r_xr, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[299])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 7590}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[302] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_5, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[302])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1798}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[300] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLHIKKAKEMOD, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_F_D, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[300])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 7690}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[303] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_14, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[303])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1834}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[301] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLHOMINGPIGEON, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_BfHB, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[301])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 7790}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[304] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_9, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[304])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1870}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[302] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLIDENTICAL3CROWS, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_r_xr_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[302])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 7890}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[305] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_11, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[305])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1906}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[303] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLINNECK, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_b_hb, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[303])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 7990}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[306] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_3, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[306])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1942}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[304] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLINVERTEDHAMMER, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_b_hb_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[304])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 8090}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[307] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_8, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[307])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 1978}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[305] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLKICKING, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_r_xr, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[305])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 8190}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[308] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_5, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[308])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2014}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[306] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLKICKINGBYLENGTH, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_r_xr_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[306])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 8290}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[309] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_11, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[309])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2050}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[307] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLLADDERBOTTOM, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_BfHB, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[307])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 8390}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[310] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_9, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[310])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2086}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[308] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLLONGLEGGEDDOJI, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_b_hb_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[308])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 8490}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[311] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_8, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[311])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2122}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[309] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLLONGLINE, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_fHBd, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[309])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 8590}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[312] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_6, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[312])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2158}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[310] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLMARUBOZU, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_fHBd, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[310])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 8690}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[313] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_6, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[313])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2194}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[311] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLMATCHINGLOW, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_2V82, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[311])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 8790}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[314] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[314])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2230}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_penetration, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[312] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLMATHOLD, __pyx_mstate->__pyx_kp_b_iso88591_D_E_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[312])) goto bad; + const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 20, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 8892}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_penetration, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[315] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_AAB_aq_aq_Qa_q_XXWA_aq_axq_oQha_5, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[315])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2268}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_penetration, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[313] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLMORNINGDOJISTAR, __pyx_mstate->__pyx_kp_b_iso88591_L_M_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[313])) goto bad; + const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 20, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 8994}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_penetration, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[316] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_AAB_aq_aq_Qa_q_XXWA_aq_axq_oQha_3, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[316])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2306}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_penetration, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[314] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLMORNINGSTAR, __pyx_mstate->__pyx_kp_b_iso88591_H_I_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[314])) goto bad; + const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 20, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 9096}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_penetration, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[317] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_AAB_aq_aq_Qa_q_XXWA_aq_axq_oQha_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[317])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2344}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[315] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLONNECK, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_b_hb, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[315])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 9196}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[318] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_3, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[318])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2380}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[316] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLPIERCING, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_fHBd, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[316])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 9296}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[319] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_6, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[319])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2416}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[317] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLRICKSHAWMAN, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_2V82, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[317])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 9396}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[320] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[320])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2452}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[318] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLRISEFALL3METHODS, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_fHBd_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[318])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 9496}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[321] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_12, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[321])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2488}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[319] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLSEPARATINGLINES, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_r_xr_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[319])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 9596}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[322] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_11, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[322])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2524}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[320] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLSHOOTINGSTAR, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_BfHB, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[320])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 9696}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[323] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_9, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[323])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2560}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[321] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLSHORTLINE, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_6_4v, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[321])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 9796}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[324] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_10, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[324])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2596}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[322] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLSPINNINGTOP, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_2V82, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[322])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 9896}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[325] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[325])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2632}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[323] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLSTALLEDPATTERN, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_b_hb_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[323])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 9996}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[326] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_8, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[326])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2668}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[324] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLSTICKSANDWICH, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_RvXR, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[324])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 10096}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[327] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_7, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[327])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2704}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[325] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLTAKURI, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_b_hb, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[325])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 10196}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[328] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_3, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[328])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2740}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[326] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLTASUKIGAP, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_6_4v, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[326])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 10296}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[329] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_10, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[329])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2776}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[327] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLTHRUSTING, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_6_4v, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[327])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 10396}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[330] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_10, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[330])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2812}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[328] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLTRISTAR, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_r_xr, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[328])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 10496}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[331] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_5, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[331])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2848}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[329] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLUNIQUE3RIVER, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_BfHB, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[329])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 10596}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[332] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_9, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[332])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2884}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[330] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLUPSIDEGAP2CROWS, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_r_xr_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[330])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 10696}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[333] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_11, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[333])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2920}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[331] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CDLXSIDEGAP3METHODS, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_fHBd_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[331])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 10796}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[334] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_12, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[334])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 7, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2956}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[332] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CEIL, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_6_4vXRt_qP_llmmn_Qk, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[332])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 10893}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[335] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_9_31HA_a_5, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[335])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 2983}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_volume_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[333] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CMF, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_Qa_y_1_Kq_q_6_6_gQ_a_fHBd, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[333])) goto bad; + const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 20, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 10992}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_a_volume, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[336] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Qa_q_XWIQ_aq_axq_oQha_G5_8, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[336])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3021}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[334] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CMO, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_m_hhiixxyyz_Qj, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[334])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 11091}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[337] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_31HA_Q_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[337])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3050}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[335] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CMOU, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_6_4vXRt_iijjyyzz_Qk, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[335])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 11187}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[338] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_9_31HA_a_5_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[338])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 10, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3079}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_wmaperiod, __pyx_mstate->__pyx_n_u_roc1period, __pyx_mstate->__pyx_n_u_roc2period, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[336] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_COPPOCK, __pyx_mstate->__pyx_kp_b_iso88591_FF___aq_Q_T_q_a_BfHBd_lR_kkxxy, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[336])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 11285}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_wmaperiod, __pyx_mstate->__pyx_n_u_roc1period, __pyx_mstate->__pyx_n_u_roc2period, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[339] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_AAXXY_aq_Q_aq_axq_oQha_G5_A_TU, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[339])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 10, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3110}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real0, __pyx_mstate->__pyx_n_u_real1, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real0_data, __pyx_mstate->__pyx_n_u_real1_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[337] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CORREL, __pyx_mstate->__pyx_kp_b_iso88591_KL_Kq_q_Kq_q_7_a_2V82T_xr_R__ll, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[337])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 11383}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real0, __pyx_mstate->__pyx_n_u_real1, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real0, __pyx_mstate->__pyx_n_u_a_real1, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[340] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A34_q_q_Ya_aq_axq_oQha_G5_1A_31H, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[340])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 7, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3143}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[338] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_COS, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_a_kkllm_Qj_1, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[338])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 11478}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[341] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_31HA_Q_4_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[341])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 7, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3170}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[339] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_COSH, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_6_4vXRt_qP_llmmn_Qk, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[339])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 11572}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[342] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_9_31HA_a_5, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[342])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 7, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3197}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[340] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CUMSUM, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_2V82T_xr_QRR___nnoop, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[340])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 11666}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[343] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_1_31HA_7q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[343])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 11, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3224}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_rocperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[341] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_CVI, __pyx_mstate->__pyx_kp_b_iso88591_E_aq_Q_Qa_y_1_6_a_fHBd_kYffrrss, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[341])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 17, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 11764}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_rocperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[344] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A0Fa_aq_Qa_XQ_aq_axq_oQha_G5_8_Q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[344])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3257}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[342] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_DEMA, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_6_4vXRt_iijjyyzz_Qk, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[342])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 11861}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[345] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_9_31HA_a_5_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[345])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 9, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3286}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real0, __pyx_mstate->__pyx_n_u_real1, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real0_data, __pyx_mstate->__pyx_n_u_real1_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[343] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_DIV, __pyx_mstate->__pyx_kp_b_iso88591_Kq_q_Kq_q_7_a_fHBd_iijjyyzz_Qj, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[343])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 15, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 11957}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real0, __pyx_mstate->__pyx_n_u_real1, __pyx_mstate->__pyx_n_u_a_real0, __pyx_mstate->__pyx_n_u_a_real1, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[346] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_q_q_Ya_aq_axq_oQha_G5_8_31HA_Q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[346])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 12, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3317}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outrealupperband, __pyx_mstate->__pyx_n_u_outrealmiddleband, __pyx_mstate->__pyx_n_u_outreallowerband}; - __pyx_mstate_global->__pyx_codeobj_tab[344] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_DONCHIAN, __pyx_mstate->__pyx_kp_b_iso88591_JK0_aq_Q_Qa_y_1_6_q_q_RvXRt6_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[344])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 18, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 12061}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outupperband, __pyx_mstate->__pyx_n_u_outmiddleband, __pyx_mstate->__pyx_n_u_outlowerband, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[347] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A01_aq_Qa_XQ_aq_axq_oQha_G5_Qa_8, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[347])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3355}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[345] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_DPO, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_m_hhiixxyyz_Qj, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[345])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 12166}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[348] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_31HA_Q_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[348])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 12, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3384}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[346] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_DX, __pyx_mstate->__pyx_kp_b_iso88591_a_aq_Q_Qa_y_1_Kq_q_6_a_a_r_xr_V, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[346])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 18, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 12264}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[349] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A78_aq_Qa_q_XWA_aq_axq_oQha_G5_q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[349])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 10, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3419}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_volume_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[347] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_EFI, __pyx_mstate->__pyx_kp_b_iso88591_IJ_Kq_q_6_7_a_fHBd_jjkkwwx_y_H, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[347])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 12363}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_a_volume, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[350] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A45_q_Ya_aq_axq_oQha_G5_8_31HA_Q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[350])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3451}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[348] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_EMA, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_m_hhiixxyyz_Qj, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[348])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 12460}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[351] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_31HA_Q_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[351])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3480}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[349] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_ER, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_r_xr_V82T_Z_gghhwwxx, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[349])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 12556}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[352] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_q_31HA_A_3, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[352])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3509}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outbullpower, __pyx_mstate->__pyx_n_u_outbearpower}; - __pyx_mstate_global->__pyx_codeobj_tab[350] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_ERI, __pyx_mstate->__pyx_kp_b_iso88591_ab_aq_Q_Qa_y_1_Kq_q_6_a_1_1_fHB, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[350])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 12658}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outbullpower, __pyx_mstate->__pyx_n_u_outbearpower, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[353] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A78_aq_Qa_q_XWA_aq_axq_oQha_G5_8_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[353])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 7, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3547}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[351] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_EXP, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_a_kkllm_Qj_1, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[351])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 12758}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[354] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_31HA_Q_4_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[354])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 7, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3574}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[352] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_FLOOR, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_F_D_hb_LPQQ_mmnno_Ql, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[352])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 12852}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[355] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_31HA_q_6aq, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[355])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3601}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[353] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_FOSC, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_6_4vXRt_iijjyyzz_Qk, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[353])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 12948}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[356] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_9_31HA_a_5_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[356])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 12, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3630}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_leftbars, __pyx_mstate->__pyx_n_u_rightbars, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outswinghigh, __pyx_mstate->__pyx_n_u_outswinglow}; - __pyx_mstate_global->__pyx_codeobj_tab[354] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_FRACTAL, __pyx_mstate->__pyx_kp_b_iso88591_I___aq_Q_Qa_y_1_6_1_BfHBd_lR_hh, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[354])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 18, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 13050}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_leftbars, __pyx_mstate->__pyx_n_u_rightbars, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outswinghigh, __pyx_mstate->__pyx_n_u_outswinglow, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[357] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_DA_aq_Qa_XQ_aq_axq_oQha_G5_AZq, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[357])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3666}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outhaopen, __pyx_mstate->__pyx_n_u_outhahigh, __pyx_mstate->__pyx_n_u_outhalow, __pyx_mstate->__pyx_n_u_outhaclose}; - __pyx_mstate_global->__pyx_codeobj_tab[355] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_HA, __pyx_mstate->__pyx_kp_b_iso88591_8_aq_Q_aq_Q_Qa_y_1_Kq_q_6_uA_q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[355])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 22, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 13160}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outhaopen, __pyx_mstate->__pyx_n_u_outhahigh, __pyx_mstate->__pyx_n_u_outhalow, __pyx_mstate->__pyx_n_u_outhaclose, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[358] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_aq_Qa_q_XXWA_aq_axq_oQha_G5_15, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[358])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3711}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[356] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_HMA, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_m_hhiixxyyz_Qj, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[356])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 13271}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[359] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_31HA_Q_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[359])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 7, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3740}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[357] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_HT_DCPERIOD, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_VWWccddssttu_Q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[357])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 13365}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[360] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_31HA_Q_AQh, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[360])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 7, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3767}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[358] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_HT_DCPHASE, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_r_xr_V82T_UVVbbccrrs, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[358])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 13459}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[361] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_q_31HA_A_1, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[361])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3794}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinphase, __pyx_mstate->__pyx_n_u_outquadrature}; - __pyx_mstate_global->__pyx_codeobj_tab[359] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_HT_PHASOR, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_A_b_hb_F_D_TUUaabbqqrr, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[359])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 13557}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinphase, __pyx_mstate->__pyx_n_u_outquadrature, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[362] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_a_6axq_9_1, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[362])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3824}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outsine, __pyx_mstate->__pyx_n_u_outleadsine}; - __pyx_mstate_global->__pyx_codeobj_tab[360] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_HT_SINE, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_BfHBd_lRSS___ooppzz, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[360])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 13659}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outsine, __pyx_mstate->__pyx_n_u_outleadsine, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[363] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_A_31HA_7q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[363])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 7, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3854}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[361] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_HT_TRENDLINE, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_6_4vXRt_WXXddeettuuv, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[361])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 13757}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[364] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_A_31HA_a_Q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[364])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 7, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3881}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[362] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_HT_TRENDMODE, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_6_4vXRt_WXXddeettuuv_Q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[362])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 13851}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[365] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_A_1HA_a_Qa, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[365])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 10, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3908}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[363] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_IMI, __pyx_mstate->__pyx_kp_b_iso88591_GH_aq_Q_Kq_q_6_a_fHBd_m_hhiiuuv, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[363])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 13948}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[366] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A23_aq_q_XQ_aq_axq_oQha_G5_8_31H, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[366])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3940}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[364] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_KAMA, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_6_4vXRt_iijjyyzz_Qk, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[364])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 14045}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[367] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_9_31HA_a_5_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[367])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {6, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 3969}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_atrperiod, __pyx_mstate->__pyx_n_u_nbdev, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outrealupperband, __pyx_mstate->__pyx_n_u_outrealmiddleband, __pyx_mstate->__pyx_n_u_outreallowerband}; - __pyx_mstate_global->__pyx_codeobj_tab[365] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_KC, __pyx_mstate->__pyx_kp_b_iso88591_x_y_P_P_Q_6_aq_Q_Qa_y_1_Kq_q_6, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[365])) goto bad; + const __Pyx_PyCode_New_function_description descr = {6, 0, 0, 22, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 14151}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_atrperiod, __pyx_mstate->__pyx_n_u_nbdev, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outupperband, __pyx_mstate->__pyx_n_u_outmiddleband, __pyx_mstate->__pyx_n_u_outlowerband, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[368] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A7MMbbc_aq_Qa_q_XWA_aq_axq_oQha, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[368])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {8, 0, 0, 18, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4012}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_fastk_period, __pyx_mstate->__pyx_n_u_slowk_period, __pyx_mstate->__pyx_n_u_slowk_matype, __pyx_mstate->__pyx_n_u_slowd_period, __pyx_mstate->__pyx_n_u_slowd_matype, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outk, __pyx_mstate->__pyx_n_u_outd, __pyx_mstate->__pyx_n_u_outj}; - __pyx_mstate_global->__pyx_codeobj_tab[366] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_KDJ, __pyx_mstate->__pyx_kp_b_iso88591_a_V_V_l_l_F_F_G_aq_Q_Qa_y_1_Kq, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[366])) goto bad; + const __Pyx_PyCode_New_function_description descr = {8, 0, 0, 24, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 14269}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_fastk_period, __pyx_mstate->__pyx_n_u_slowk_period, __pyx_mstate->__pyx_n_u_slowk_matype, __pyx_mstate->__pyx_n_u_slowd_period, __pyx_mstate->__pyx_n_u_slowd_matype, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outk, __pyx_mstate->__pyx_n_u_outd, __pyx_mstate->__pyx_n_u_outj, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[369] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A9RRk_l_A_A_Z_Z_aq_Qa_q_XWA_aq_a, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[369])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4057}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[367] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_LINEARREG, __pyx_mstate->__pyx_kp_b_iso88591_12_aq_Q_T_q_a_b_hb_F_D_Taabbnno, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[367])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 14375}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[370] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_aq_31HA_1, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[370])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4086}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[368] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_LINEARREG_ANGLE, __pyx_mstate->__pyx_kp_b_iso88591_78_aq_Q_T_q_a_BfHBd_lZgghhttu_v, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[368])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 14471}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[371] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_DAQ_31HA_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[371])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4115}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[369] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_LINEARREG_INTERCEPT, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_fHBdR_kkllxxy_z_I_I, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[369])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 14567}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[372] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_H_31HA_6Q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[372])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4144}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[370] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_LINEARREG_SLOPE, __pyx_mstate->__pyx_kp_b_iso88591_78_aq_Q_T_q_a_BfHBd_lZgghhttu_v, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[370])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 14663}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[373] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_DAQ_31HA_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[373])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 7, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4173}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[371] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_LN, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_r_xr_V82T_QlZ_jjkkl, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[371])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 14757}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[374] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_q_31HA_A_3_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[374])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 7, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4200}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[372] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_LOG10, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_F_D_hb_LPQQ_mmnno_Ql, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[372])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 14851}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[375] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_31HA_q_6aq, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[375])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 9, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4227}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_matype, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[373] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MA, __pyx_mstate->__pyx_kp_b_iso88591_B_aq_Q_T_q_a_r_xr_V82T_Zccddppq, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[373])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 15, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 14948}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_matype, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[376] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_a_aq_Q_aq_axq_oQha_G5_q_A_31HA, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[376])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 12, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4257}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_fastperiod, __pyx_mstate->__pyx_n_u_slowperiod, __pyx_mstate->__pyx_n_u_signalperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outmacd, __pyx_mstate->__pyx_n_u_outmacdsignal, __pyx_mstate->__pyx_n_u_outmacdhist}; - __pyx_mstate_global->__pyx_codeobj_tab[374] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MACD, __pyx_mstate->__pyx_kp_b_iso88591_DD_2_aq_Q_T_q_a_A_6_4vXRt_iixxy, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[374])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 18, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 15052}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_fastperiod, __pyx_mstate->__pyx_n_u_slowperiod, __pyx_mstate->__pyx_n_u_signalperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outmacd, __pyx_mstate->__pyx_n_u_outmacdsignal, __pyx_mstate->__pyx_n_u_outmacdhist, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[377] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_BB_aq_Q_aq_axq_oQha_G5_9_lRS_3, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[377])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {7, 0, 0, 15, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4294}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_fastperiod, __pyx_mstate->__pyx_n_u_fastmatype, __pyx_mstate->__pyx_n_u_slowperiod, __pyx_mstate->__pyx_n_u_slowmatype, __pyx_mstate->__pyx_n_u_signalperiod, __pyx_mstate->__pyx_n_u_signalmatype, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outmacd, __pyx_mstate->__pyx_n_u_outmacdsignal, __pyx_mstate->__pyx_n_u_outmacdhist}; - __pyx_mstate_global->__pyx_codeobj_tab[375] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MACDEXT, __pyx_mstate->__pyx_kp_b_iso88591_GGZZr_s_F_F_a_8_aq_Q_T_q_a_A_Bf, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[375])) goto bad; + const __Pyx_PyCode_New_function_description descr = {7, 0, 0, 21, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 15167}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_fastperiod, __pyx_mstate->__pyx_n_u_fastmatype, __pyx_mstate->__pyx_n_u_slowperiod, __pyx_mstate->__pyx_n_u_slowmatype, __pyx_mstate->__pyx_n_u_signalperiod, __pyx_mstate->__pyx_n_u_signalmatype, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outmacd, __pyx_mstate->__pyx_n_u_outmacdsignal, __pyx_mstate->__pyx_n_u_outmacdhist, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[378] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_BBTTkk_Y_Y_Z_aq_Q_aq_axq_oQha, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[378])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 10, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4334}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_signalperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outmacd, __pyx_mstate->__pyx_n_u_outmacdsignal, __pyx_mstate->__pyx_n_u_outmacdhist}; - __pyx_mstate_global->__pyx_codeobj_tab[376] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MACDFIX, __pyx_mstate->__pyx_kp_b_iso88591_0_aq_Q_T_q_a_A_BfHBd_lRaabbnnoo, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[376])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 15277}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_signalperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outmacd, __pyx_mstate->__pyx_n_u_outmacdsignal, __pyx_mstate->__pyx_n_u_outmacdhist, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[379] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_AQ_31HA_9, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[379])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 10, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4369}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_fastlimit, __pyx_mstate->__pyx_n_u_slowlimit, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outmama, __pyx_mstate->__pyx_n_u_outfama}; - __pyx_mstate_global->__pyx_codeobj_tab[377] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MAMA, __pyx_mstate->__pyx_kp_b_iso88591_EQ_aq_Q_T_q_a_a_6_4vXRt_gghhttu, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[377])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 15386}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_fastlimit, __pyx_mstate->__pyx_n_u_slowlimit, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outmama, __pyx_mstate->__pyx_n_u_outfama, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[380] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_EQ_aq_Q_aq_axq_oQha_G5_9_Q_31H, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[380])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 11, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4402}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_volume_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[378] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MARKETFI, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_Qa_y_1_6_6_a_a_RvXRt6_4_S, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[378])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 17, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 15486}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_volume, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[381] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Qa_XWA_aq_axq_oQha_G5_Q_31H, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[381])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 11, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4435}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_fastperiod, __pyx_mstate->__pyx_n_u_slowperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[379] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MASSI, __pyx_mstate->__pyx_kp_b_iso88591_G___aq_Q_Qa_y_1_6_a_F_D_hb_LP_h, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[379])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 17, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 15586}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_fastperiod, __pyx_mstate->__pyx_n_u_slowperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[382] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A0Gq_aq_Qa_XQ_aq_axq_oQha_G5_q_3, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[382])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 12, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4468}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_periods, __pyx_mstate->__pyx_n_u_minperiod, __pyx_mstate->__pyx_n_u_maxperiod, __pyx_mstate->__pyx_n_u_matype, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_periods_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[380] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MAVP, __pyx_mstate->__pyx_kp_b_iso88591_Jaaxxy_aq_Q_k_9G1_6_a_6_4vXRt_j, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[380])) goto bad; + const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 18, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 15687}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_periods, __pyx_mstate->__pyx_n_u_minperiod, __pyx_mstate->__pyx_n_u_maxperiod, __pyx_mstate->__pyx_n_u_matype, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_a_periods, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[383] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A3II_aq_M_XQ_aq_axq_oQha_G5_9_PQ, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[383])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4503}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[381] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MAX, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_m_hhiixxyyz_Qj, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[381])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 15784}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[384] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_31HA_Q_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[384])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4532}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[382] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MAXINDEX, __pyx_mstate->__pyx_kp_b_iso88591_01_aq_Q_T_q_RvXRt6_4_S_aammnn_Q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[382])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 15880}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_i, __pyx_mstate->__pyx_n_u_outinteger_data, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[385] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_Qa_1HA_9_8, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[385])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 9, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4561}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[383] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MEDPRICE, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_Qa_y_1_6_a_RvXRt6_4_S___kk, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[383])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 15, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 15979}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[386] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Qa_XQ_aq_axq_oQha_G5_Q_31HA, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[386])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4591}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_volume_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[384] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MFI, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_Qa_y_1_Kq_q_6_6_gQ_a_fHBd, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[384])) goto bad; + const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 20, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 16079}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_a_volume, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[387] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Qa_q_XWIQ_aq_axq_oQha_G5_8, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[387])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4629}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[385] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MIDPOINT, __pyx_mstate->__pyx_kp_b_iso88591_01_aq_Q_T_q_a_RvXRt6_4_S_aammnn, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[385])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 16178}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[388] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_Qa_31HA_9, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[388])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 10, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4658}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[386] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MIDPRICE, __pyx_mstate->__pyx_kp_b_iso88591_JK_aq_Q_Qa_y_1_6_a_RvXRt6_4_S_k, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[386])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 16275}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[389] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A01_aq_Qa_XQ_aq_axq_oQha_G5_Qa_3, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[389])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4690}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[387] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MIN, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_m_hhiixxyyz_Qj, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[387])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 16372}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[390] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_31HA_Q_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[390])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4719}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[388] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MININDEX, __pyx_mstate->__pyx_kp_b_iso88591_01_aq_Q_T_q_RvXRt6_4_S_aammnn_Q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[388])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 16468}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_i, __pyx_mstate->__pyx_n_u_outinteger_data, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[391] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_Qa_1HA_9_8, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[391])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 9, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4748}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outmin, __pyx_mstate->__pyx_n_u_outmax}; - __pyx_mstate_global->__pyx_codeobj_tab[389] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MINMAX, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_Q_Q_2V82T_xr_Q___kkll, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[389])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 15, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 16572}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outmin, __pyx_mstate->__pyx_n_u_outmax, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[392] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_1A_2_81_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[392])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 9, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4780}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outminidx, __pyx_mstate->__pyx_n_u_outmaxidx}; - __pyx_mstate_global->__pyx_codeobj_tab[390] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MINMAXINDEX, __pyx_mstate->__pyx_kp_b_iso88591_34_aq_Q_T_q_fHBd_Vccddppq_r_A_A, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[390])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 18, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 16676}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outminidx, __pyx_mstate->__pyx_n_u_outmaxidx, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_i, __pyx_mstate->__pyx_n_u_outminidx_data, __pyx_mstate->__pyx_n_u_outmaxidx_data, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[393] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_N_81_N_81, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[393])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 12, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4812}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[391] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MINUS_DI, __pyx_mstate->__pyx_kp_b_iso88591_fg_aq_Q_Qa_y_1_Kq_q_6_a_a_RvXRt, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[391])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 18, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 16785}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[394] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A78_aq_Qa_q_XWA_aq_axq_oQha_G5_Q_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[394])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 10, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4847}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[392] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MINUS_DM, __pyx_mstate->__pyx_kp_b_iso88591_JK_aq_Q_Qa_y_1_6_a_RvXRt6_4_S_k, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[392])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 16884}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[395] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A01_aq_Qa_XQ_aq_axq_oQha_G5_Qa_3, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[395])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4879}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[393] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MOM, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_m_hhiixxyyz_Qj, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[393])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 16981}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[396] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_31HA_Q_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[396])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 9, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4908}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real0, __pyx_mstate->__pyx_n_u_real1, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real0_data, __pyx_mstate->__pyx_n_u_real1_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[394] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_MULT, __pyx_mstate->__pyx_kp_b_iso88591_Kq_q_Kq_q_7_a_6_4vXRt_P_jjkkzz, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[394])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 15, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 17077}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real0, __pyx_mstate->__pyx_n_u_real1, __pyx_mstate->__pyx_n_u_a_real0, __pyx_mstate->__pyx_n_u_a_real1, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[397] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_q_q_Ya_aq_axq_oQha_G5_9_31HA_a, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[397])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 12, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4939}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[395] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_NATR, __pyx_mstate->__pyx_kp_b_iso88591_bc_aq_Q_Qa_y_1_Kq_q_6_a_a_6_4vX, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[395])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 18, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 17176}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[398] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A78_aq_Qa_q_XWA_aq_axq_oQha_G5_9, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[398])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 9, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 4974}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_volume_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[396] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_NVI, __pyx_mstate->__pyx_kp_b_iso88591_Kq_q_6_7_a_fHBd_jjkkzz_Qj_1, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[396])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 15, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 17273}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_a_volume, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[399] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_q_Ya_aq_axq_oQha_G5_8_31HA_Q_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[399])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 9, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5004}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_volume_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[397] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_OBV, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_6_6_a_fHBd_n_iijjyyzz_Qj_1, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[397])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 15, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 17370}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_a_volume, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[400] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_XQ_aq_axq_oQha_G5_8_31HA_Q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[400])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 9, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5035}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_percentile, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[398] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_PERCENTILE, __pyx_mstate->__pyx_kp_b_iso88591_2J_aq_Q_T_q_a_r_xr_V82T_Ubboopp, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[398])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 15, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 17468}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_percentile, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[401] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_EQ_aq_Q_aq_axq_oQha_G5_q_A_31H, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[401])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5065}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[399] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_PERCENTRANK, __pyx_mstate->__pyx_kp_b_iso88591_34_aq_Q_T_q_a_fHBd_Vccddppq_r_A, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[399])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 17564}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[402] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_31HA_Q_AQh_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[402])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 12, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5094}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[400] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_PLUS_DI, __pyx_mstate->__pyx_kp_b_iso88591_ef_aq_Q_Qa_y_1_Kq_q_6_a_a_BfHBd, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[400])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 18, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 17662}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[403] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A78_aq_Qa_q_XWA_aq_axq_oQha_G5_A, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[403])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 10, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5129}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[401] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_PLUS_DM, __pyx_mstate->__pyx_kp_b_iso88591_IJ_aq_Q_Qa_y_1_6_a_BfHBd_lR_jjk, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[401])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 17761}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[404] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A01_aq_Qa_XQ_aq_axq_oQha_G5_AQ_3, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[404])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 10, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5161}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_fastperiod, __pyx_mstate->__pyx_n_u_slowperiod, __pyx_mstate->__pyx_n_u_matype, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[402] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_PPO, __pyx_mstate->__pyx_kp_b_iso88591_CC_aq_Q_T_q_a_fHBd_m_hhqqrr_O_O, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[402])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 17860}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_fastperiod, __pyx_mstate->__pyx_n_u_slowperiod, __pyx_mstate->__pyx_n_u_matype, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[405] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_BBUUV_aq_Q_aq_axq_oQha_G5_8_QR, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[405])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 9, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5192}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_volume_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[403] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_PVI, __pyx_mstate->__pyx_kp_b_iso88591_Kq_q_6_7_a_fHBd_jjkkzz_Qj_1, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[403])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 15, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 17955}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_a_volume, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[406] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_q_Ya_aq_axq_oQha_G5_8_31HA_Q_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[406])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 10, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5222}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_fastperiod, __pyx_mstate->__pyx_n_u_slowperiod, __pyx_mstate->__pyx_n_u_matype, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_volume_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[404] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_PVO, __pyx_mstate->__pyx_kp_b_iso88591_EE_6_V6_a_fHBd_P_jjsst_u_A_A_B, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[404])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 18054}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_fastperiod, __pyx_mstate->__pyx_n_u_slowperiod, __pyx_mstate->__pyx_n_u_matype, __pyx_mstate->__pyx_n_u_a_volume, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[407] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_DDWWX_Q_aq_axq_oQha_G5_8_QR_31, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[407])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 9, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5253}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_volume_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[405] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_PVT, __pyx_mstate->__pyx_kp_b_iso88591_Kq_q_6_7_a_fHBd_jjkkzz_Qj_1, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[405])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 15, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 18149}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_a_volume, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[408] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_q_Ya_aq_axq_oQha_G5_8_31HA_Q_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[408])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 10, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5283}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_open_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[406] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_QSTICK, __pyx_mstate->__pyx_kp_b_iso88591_JK_aq_Q_Kq_q_6_a_2V82T_xr_Q_kkl, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[406])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 18247}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_open, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_open, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[409] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A23_aq_q_XQ_aq_axq_oQha_G5_1A_31, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[409])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5315}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[407] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_RMA, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_m_hhiixxyyz_Qj, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[407])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 18344}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[410] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_31HA_Q_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[410])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5344}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[408] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_ROC, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_m_hhiixxyyz_Qj, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[408])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 18440}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[411] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_31HA_Q_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[411])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5373}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[409] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_ROCP, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_6_4vXRt_iijjyyzz_Qk, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[409])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 18536}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[412] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_9_31HA_a_5_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[412])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5402}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[410] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_ROCR, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_6_4vXRt_iijjyyzz_Qk, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[410])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 18632}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[413] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_9_31HA_a_5_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[413])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5431}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[411] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_ROCR100, __pyx_mstate->__pyx_kp_b_iso88591_0_aq_Q_T_q_a_BfHBd_lR___llmm_Qn, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[411])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 18728}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[414] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_AQ_31HA_8, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[414])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5460}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[412] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_RSI, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_m_hhiixxyyz_Qj, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[412])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 18824}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[415] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_31HA_Q_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[415])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 9, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5489}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_stddevperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[413] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_RVI, __pyx_mstate->__pyx_kp_b_iso88591_C1_aq_Q_T_q_a_fHBd_m_jjkkwwx_y, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[413])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 15, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 18921}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_stddevperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[416] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_DA_aq_Q_aq_axq_oQha_G5_8_Q_31H, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[416])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5519}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_volume_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[414] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_RVOL, __pyx_mstate->__pyx_kp_b_iso88591_6_V6_a_6_4vXRt_Q___kkll_Qk_1, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[414])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 19017}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_volume, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[417] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_Q_aq_axq_oQha_G5_9_31HA_a_5Qax, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[417])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 11, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5548}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_acceleration, __pyx_mstate->__pyx_n_u_maximum, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[415] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_SAR, __pyx_mstate->__pyx_kp_b_iso88591_E_a_aq_Q_Qa_y_1_6_a_fHBd_kYhhrr, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[415])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 17, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 19115}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_acceleration, __pyx_mstate->__pyx_n_u_maximum, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[418] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A5J_aq_Qa_XQ_aq_axq_oQha_G5_8_q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[418])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {10, 0, 0, 17, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5581}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_startvalue, __pyx_mstate->__pyx_n_u_offsetonreverse, __pyx_mstate->__pyx_n_u_accelerationinitlong, __pyx_mstate->__pyx_n_u_accelerationlong, __pyx_mstate->__pyx_n_u_accelerationmaxlong, __pyx_mstate->__pyx_n_u_accelerationinitshort, __pyx_mstate->__pyx_n_u_accelerationshort, __pyx_mstate->__pyx_n_u_accelerationmaxshort, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[416] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_SAREXT, __pyx_mstate->__pyx_kp_b_iso88591_Hb_c_B_B_f_f_F_F_i_i_N_N_o_o_p, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[416])) goto bad; + const __Pyx_PyCode_New_function_description descr = {10, 0, 0, 23, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 19220}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_startvalue, __pyx_mstate->__pyx_n_u_offsetonreverse, __pyx_mstate->__pyx_n_u_accelerationinitlong, __pyx_mstate->__pyx_n_u_accelerationlong, __pyx_mstate->__pyx_n_u_accelerationmaxlong, __pyx_mstate->__pyx_n_u_accelerationinitshort, __pyx_mstate->__pyx_n_u_accelerationshort, __pyx_mstate->__pyx_n_u_accelerationmaxshort, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[419] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A3QQt_u_T_T_v_v_Z_Z_z_z_aq_Qa_XQ, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[419])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 7, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5620}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[417] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_SIN, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_a_kkllm_Qj_1, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[417])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 19315}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[420] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_31HA_Q_4_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[420])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 7, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5647}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[418] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_SINH, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_6_4vXRt_qP_llmmn_Qk, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[418])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 19409}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[421] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_9_31HA_a_5, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[421])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5674}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[419] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_SMA, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_m_hhiixxyyz_Qj, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[419])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 19505}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[422] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_31HA_Q_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[422])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {7, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5703}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_fastperiod, __pyx_mstate->__pyx_n_u_slowperiod, __pyx_mstate->__pyx_n_u_signalperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outsmi, __pyx_mstate->__pyx_n_u_outsmisignal}; - __pyx_mstate_global->__pyx_codeobj_tab[420] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_SMI, __pyx_mstate->__pyx_kp_b_iso88591_ay_z_R_R_j_j_k_4_aq_Q_Qa_y_1_Kq, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[420])) goto bad; + const __Pyx_PyCode_New_function_description descr = {7, 0, 0, 22, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 19610}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_fastperiod, __pyx_mstate->__pyx_n_u_slowperiod, __pyx_mstate->__pyx_n_u_signalperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outsmi, __pyx_mstate->__pyx_n_u_outsmisignal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[423] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A7NNee_aq_Qa_q_XWA_aq_axq_oQha_G, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[423])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 7, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5744}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[421] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_SQRT, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_6_4vXRt_qP_llmmn_Qk, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[421])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 19710}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[424] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_9_31HA_a_5, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[424])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 9, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5771}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_nbdev, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[422] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_STDDEV, __pyx_mstate->__pyx_kp_b_iso88591_Fa_aq_Q_T_q_a_2V82T_xr_Q_ffggss, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[422])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 15, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 19807}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_nbdev, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[425] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_1L_31HA_7q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[425])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {8, 0, 0, 17, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5801}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_fastk_period, __pyx_mstate->__pyx_n_u_slowk_period, __pyx_mstate->__pyx_n_u_slowk_matype, __pyx_mstate->__pyx_n_u_slowd_period, __pyx_mstate->__pyx_n_u_slowd_matype, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outslowk, __pyx_mstate->__pyx_n_u_outslowd}; - __pyx_mstate_global->__pyx_codeobj_tab[423] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_STOCH, __pyx_mstate->__pyx_kp_b_iso88591_c_X_X_m_m_G_G_H_6_aq_Q_Qa_y_1_K, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[423])) goto bad; + const __Pyx_PyCode_New_function_description descr = {8, 0, 0, 23, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 19913}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_fastk_period, __pyx_mstate->__pyx_n_u_slowk_period, __pyx_mstate->__pyx_n_u_slowk_matype, __pyx_mstate->__pyx_n_u_slowd_period, __pyx_mstate->__pyx_n_u_slowd_matype, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outslowk, __pyx_mstate->__pyx_n_u_outslowd, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[426] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A9RRkk_Y_Y_Z_aq_Qa_q_XWA_aq_axq, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[426])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {6, 0, 0, 15, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5843}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_fastk_period, __pyx_mstate->__pyx_n_u_fastd_period, __pyx_mstate->__pyx_n_u_fastd_matype, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outfastk, __pyx_mstate->__pyx_n_u_outfastd}; - __pyx_mstate_global->__pyx_codeobj_tab[424] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_STOCHF, __pyx_mstate->__pyx_kp_b_iso88591_d_Y_Y_Z_2_aq_Q_Qa_y_1_Kq_q_6_a, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[424])) goto bad; + const __Pyx_PyCode_New_function_description descr = {6, 0, 0, 21, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 20023}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_fastk_period, __pyx_mstate->__pyx_n_u_fastd_period, __pyx_mstate->__pyx_n_u_fastd_matype, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outfastk, __pyx_mstate->__pyx_n_u_outfastd, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[427] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A9RRkkl_aq_Qa_q_XWA_aq_axq_oQha, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[427])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 12, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5883}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_fastk_period, __pyx_mstate->__pyx_n_u_fastd_period, __pyx_mstate->__pyx_n_u_fastd_matype, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outfastk, __pyx_mstate->__pyx_n_u_outfastd}; - __pyx_mstate_global->__pyx_codeobj_tab[425] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_STOCHRSI, __pyx_mstate->__pyx_kp_b_iso88591_0HHbb_0_aq_Q_T_q_q_q_RvXRt6_4_S, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[425])) goto bad; + const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 18, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 20132}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_fastk_period, __pyx_mstate->__pyx_n_u_fastd_period, __pyx_mstate->__pyx_n_u_fastd_matype, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outfastk, __pyx_mstate->__pyx_n_u_outfastd, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[428] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_DD_vvw_aq_Q_aq_axq_oQha_G5_Ql, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[428])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 9, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5918}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real0, __pyx_mstate->__pyx_n_u_real1, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real0_data, __pyx_mstate->__pyx_n_u_real1_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[426] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_SUB, __pyx_mstate->__pyx_kp_b_iso88591_Kq_q_Kq_q_7_a_fHBd_iijjyyzz_Qj, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[426])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 15, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 20232}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real0, __pyx_mstate->__pyx_n_u_real1, __pyx_mstate->__pyx_n_u_a_real0, __pyx_mstate->__pyx_n_u_a_real1, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[429] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_q_q_Ya_aq_axq_oQha_G5_8_31HA_Q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[429])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5949}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[427] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_SUM, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_m_hhiixxyyz_Qj, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[427])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 20329}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[430] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_31HA_Q_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[430])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 5978}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_multiplier, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outinteger}; - __pyx_mstate_global->__pyx_codeobj_tab[428] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_SUPERTREND, __pyx_mstate->__pyx_kp_b_iso88591_i_A_A_B_0_aq_Q_Qa_y_1_Kq_q_6_a, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[428])) goto bad; + const __Pyx_PyCode_New_function_description descr = {5, 0, 0, 20, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 20432}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_multiplier, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outinteger, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[431] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A7QQR_aq_Qa_q_XWA_aq_axq_oQha_G5, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[431])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 9, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6017}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_vfactor, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[429] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_T3, __pyx_mstate->__pyx_kp_b_iso88591_B_aq_Q_T_q_a_r_xr_V82T_Zddeeqqr, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[429])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 15, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 20535}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_vfactor, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[432] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_B_aq_Q_aq_axq_oQha_G5_q_A_31HA, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[432])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 7, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6047}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[430] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_TAN, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_a_kkllm_Qj_1, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[430])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 20629}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[433] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_31HA_Q_4_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[433])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 7, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6074}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[431] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_TANH, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_6_4vXRt_qP_llmmn_Qk, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[431])) goto bad; + const __Pyx_PyCode_New_function_description descr = {1, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 20723}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[434] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_9_31HA_a_5, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[434])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6101}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[432] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_TEMA, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_6_4vXRt_iijjyyzz_Qk, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[432])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 20819}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[435] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_9_31HA_a_5_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[435])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 11, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6130}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[433] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_TRANGE, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_Qa_y_1_Kq_q_6_a_a_2V82T_xr, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[433])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 17, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 20915}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[436] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Qa_q_XWA_aq_axq_oQha_G5_1_3, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[436])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6163}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[434] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_TRIMA, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_F_D_hb_LP_jjkkzz_Ql, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[434])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 21013}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[437] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_1_31HA_q_6, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[437])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6192}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[435] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_TRIX, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_6_4vXRt_iijjyyzz_Qk, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[435])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 21109}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[438] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_9_31HA_a_5_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[438])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6221}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[436] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_TSF, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_m_hhiixxyyz_Qj, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[436])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 21205}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[439] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_31HA_Q_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[439])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 9, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6250}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_firstperiod, __pyx_mstate->__pyx_n_u_secondperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[437] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_TSI, __pyx_mstate->__pyx_kp_b_iso88591_DA_aq_Q_T_q_a_fHBd_n_kkllxxy_z, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[437])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 15, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 21302}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_firstperiod, __pyx_mstate->__pyx_n_u_secondperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[440] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_EQ_aq_Q_aq_axq_oQha_G5_8_a_31H, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[440])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 11, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6280}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[438] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_TYPPRICE, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_Qa_y_1_Kq_q_6_a_a_RvXRt6_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[438])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 17, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 21398}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[441] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Qa_q_XWA_aq_axq_oQha_G5_Q_3, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[441])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {6, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6313}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod1, __pyx_mstate->__pyx_n_u_timeperiod2, __pyx_mstate->__pyx_n_u_timeperiod3, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[439] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_ULTOSC, __pyx_mstate->__pyx_kp_b_iso88591_d_W_W_X_aq_Q_Qa_y_1_Kq_q_6_a_a, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[439])) goto bad; + const __Pyx_PyCode_New_function_description descr = {6, 0, 0, 20, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 21500}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod1, __pyx_mstate->__pyx_n_u_timeperiod2, __pyx_mstate->__pyx_n_u_timeperiod3, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[442] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A8PPhhi_aq_Qa_q_XWA_aq_axq_oQha, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[442])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 9, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6350}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_nbdev, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[440] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_VAR, __pyx_mstate->__pyx_kp_b_iso88591_C1_aq_Q_T_q_a_fHBd_m_ccddppq_r, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[440])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 15, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 21599}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_nbdev, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[443] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_Q_31HA_Q, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[443])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6380}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[441] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_VHF, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_m_hhiixxyyz_Qj, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[441])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 21695}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[444] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_31HA_Q_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[444])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6409}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outplusvi, __pyx_mstate->__pyx_n_u_outminusvi}; - __pyx_mstate_global->__pyx_codeobj_tab[442] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_VORTEX, __pyx_mstate->__pyx_kp_b_iso88591_de_aq_Q_Qa_y_1_Kq_q_6_a_2V82T_x, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[442])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 21797}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outplusvi, __pyx_mstate->__pyx_n_u_outminusvi, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[445] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A78_aq_Qa_q_XWA_aq_axq_oQha_G5_1, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[445])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 13, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6447}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_volume_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[443] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_VWAP, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_Qa_y_1_Kq_q_6_6_gQ_a_6_4vX, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[443])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 19, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 21900}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_a_volume, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[446] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Qa_q_XWIQ_aq_axq_oQha_G5_9, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[446])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 10, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6483}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_volume_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[444] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_VWMA, __pyx_mstate->__pyx_kp_b_iso88591_IJ_aq_Q_6_6_a_6_4vXRt_jjkkwwx_y, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[444])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 16, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 22001}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_volume, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_a_volume, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[447] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A34_aq_XQ_aq_axq_oQha_G5_9_31HA, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[447])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 11, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6516}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[445] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_WAD, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_Qa_y_1_Kq_q_6_a_a_fHBd_kYf, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[445])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 17, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 22098}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[448] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Qa_q_XWA_aq_axq_oQha_G5_8_3, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[448])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 11, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6549}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[446] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_WCLPRICE, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_Qa_y_1_Kq_q_6_a_a_RvXRt6_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[446])) goto bad; + const __Pyx_PyCode_New_function_description descr = {3, 0, 0, 17, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 22196}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[449] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Qa_q_XWA_aq_axq_oQha_G5_Q_3, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[449])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 12, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6582}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_high_data, __pyx_mstate->__pyx_n_u_low_data, __pyx_mstate->__pyx_n_u_close_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[447] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_WILLR, __pyx_mstate->__pyx_kp_b_iso88591_cd_aq_Q_Qa_y_1_Kq_q_6_a_a_F_D_h, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[447])) goto bad; + const __Pyx_PyCode_New_function_description descr = {4, 0, 0, 18, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 22296}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_high, __pyx_mstate->__pyx_n_u_low, __pyx_mstate->__pyx_n_u_close, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_high, __pyx_mstate->__pyx_n_u_a_low, __pyx_mstate->__pyx_n_u_a_close, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[450] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A78_aq_Qa_q_XWA_aq_axq_oQha_G5_1_2, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[450])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6617}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[448] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_WMA, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_fHBd_m_hhiixxyyz_Qj, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[448])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 22394}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[451] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_8_31HA_Q_4, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[451])) goto bad; } { - const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 8, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 6646}; - PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_real_data, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_outreal}; - __pyx_mstate_global->__pyx_codeobj_tab[449] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_stream_ZLEMA, __pyx_mstate->__pyx_kp_b_iso88591_aq_Q_T_q_a_F_D_hb_LP_jjkkzz_Ql, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[449])) goto bad; + const __Pyx_PyCode_New_function_description descr = {2, 0, 0, 14, (unsigned int)(CO_OPTIMIZED|CO_NEWLOCALS), 22490}; + PyObject* const varnames[] = {__pyx_mstate->__pyx_n_u_real, __pyx_mstate->__pyx_n_u_timeperiod, __pyx_mstate->__pyx_n_u_a_real, __pyx_mstate->__pyx_n_u_arrays, __pyx_mstate->__pyx_n_u_length, __pyx_mstate->__pyx_n_u_begidx, __pyx_mstate->__pyx_n_u_historylen, __pyx_mstate->__pyx_n_u_lookback, __pyx_mstate->__pyx_n_u_outreal, __pyx_mstate->__pyx_n_u_outbegidx, __pyx_mstate->__pyx_n_u_outnbelement, __pyx_mstate->__pyx_n_u_handle, __pyx_mstate->__pyx_n_u_retCode, __pyx_mstate->__pyx_n_u_stream}; + __pyx_mstate_global->__pyx_codeobj_tab[452] = __Pyx_PyCode_New(descr, varnames, __pyx_mstate->__pyx_kp_u_talib__stream_pxi, __pyx_mstate->__pyx_n_u_open_and_fill, __pyx_mstate->__pyx_kp_b_iso88591_A_aq_Q_aq_axq_oQha_G5_1_31HA_q_6, tuple_dedup_map); if (unlikely(!__pyx_mstate_global->__pyx_codeobj_tab[452])) goto bad; } Py_DECREF(tuple_dedup_map); return 0; @@ -107928,6 +306876,68 @@ static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject return; } +/* PyDictVersioning (used by GetModuleGlobalName) */ +#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) { + PyObject *dict = Py_TYPE(obj)->tp_dict; + return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0; +} +static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) { + PyObject **dictptr = NULL; + Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset; + if (offset) { +#if CYTHON_COMPILING_IN_CPYTHON + dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj); +#else + dictptr = _PyObject_GetDictPtr(obj); +#endif + } + return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0; +} +static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) { + PyObject *dict = Py_TYPE(obj)->tp_dict; + if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict))) + return 0; + return obj_dict_version == __Pyx_get_object_dict_version(obj); +} +#endif + +/* GetModuleGlobalName */ +#if CYTHON_USE_DICT_VERSIONS +static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value) +#else +static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name) +#endif +{ + PyObject *result; +#if CYTHON_COMPILING_IN_LIMITED_API + if (unlikely(!__pyx_m)) { + if (!PyErr_Occurred()) + PyErr_SetNone(PyExc_NameError); + return NULL; + } + result = PyObject_GetAttr(__pyx_m, name); + if (likely(result)) { + return result; + } + PyErr_Clear(); +#elif CYTHON_AVOID_BORROWED_REFS || CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS + if (unlikely(__Pyx_PyDict_GetItemRef(__pyx_mstate_global->__pyx_d, name, &result) == -1)) PyErr_Clear(); + __PYX_UPDATE_DICT_CACHE(__pyx_mstate_global->__pyx_d, result, *dict_cached_value, *dict_version) + if (likely(result)) { + return result; + } +#else + result = _PyDict_GetItem_KnownHash(__pyx_mstate_global->__pyx_d, name, ((PyASCIIObject *) name)->hash); + __PYX_UPDATE_DICT_CACHE(__pyx_mstate_global->__pyx_d, result, *dict_cached_value, *dict_version) + if (likely(result)) { + return __Pyx_NewRef(result); + } + PyErr_Clear(); +#endif + return __Pyx_GetBuiltinName(name); +} + /* PyUnicode_Unicode */ static CYTHON_INLINE PyObject* __Pyx_PyUnicode_Unicode(PyObject *obj) { if (unlikely(obj == Py_None)) @@ -109217,68 +308227,6 @@ static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *nam return 0; } -/* PyDictVersioning (used by GetModuleGlobalName) */ -#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS -static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) { - PyObject *dict = Py_TYPE(obj)->tp_dict; - return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0; -} -static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) { - PyObject **dictptr = NULL; - Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset; - if (offset) { -#if CYTHON_COMPILING_IN_CPYTHON - dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj); -#else - dictptr = _PyObject_GetDictPtr(obj); -#endif - } - return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0; -} -static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) { - PyObject *dict = Py_TYPE(obj)->tp_dict; - if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict))) - return 0; - return obj_dict_version == __Pyx_get_object_dict_version(obj); -} -#endif - -/* GetModuleGlobalName */ -#if CYTHON_USE_DICT_VERSIONS -static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value) -#else -static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name) -#endif -{ - PyObject *result; -#if CYTHON_COMPILING_IN_LIMITED_API - if (unlikely(!__pyx_m)) { - if (!PyErr_Occurred()) - PyErr_SetNone(PyExc_NameError); - return NULL; - } - result = PyObject_GetAttr(__pyx_m, name); - if (likely(result)) { - return result; - } - PyErr_Clear(); -#elif CYTHON_AVOID_BORROWED_REFS || CYTHON_AVOID_THREAD_UNSAFE_BORROWED_REFS - if (unlikely(__Pyx_PyDict_GetItemRef(__pyx_mstate_global->__pyx_d, name, &result) == -1)) PyErr_Clear(); - __PYX_UPDATE_DICT_CACHE(__pyx_mstate_global->__pyx_d, result, *dict_cached_value, *dict_version) - if (likely(result)) { - return result; - } -#else - result = _PyDict_GetItem_KnownHash(__pyx_mstate_global->__pyx_d, name, ((PyASCIIObject *) name)->hash); - __PYX_UPDATE_DICT_CACHE(__pyx_mstate_global->__pyx_d, result, *dict_cached_value, *dict_version) - if (likely(result)) { - return __Pyx_NewRef(result); - } - PyErr_Clear(); -#endif - return __Pyx_GetBuiltinName(name); -} - /* PyObjectSetAttrStr */ #if CYTHON_USE_TYPE_SLOTS static CYTHON_INLINE int __Pyx_PyObject_SetAttrStr(PyObject* obj, PyObject* attr_name, PyObject* value) { @@ -110306,6 +309254,629 @@ static CYTHON_INLINE int __Pyx_SetItemInt_Fast(PyObject *o, Py_ssize_t i, PyObje return __Pyx_SetItemInt_Generic(o, PyLong_FromSsize_t(i), v); } +/* ExtTypeTest */ +static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) { + __Pyx_TypeName obj_type_name; + __Pyx_TypeName type_name; + if (unlikely(!type)) { + PyErr_SetString(PyExc_SystemError, "Missing type object"); + return 0; + } + if (likely(__Pyx_TypeCheck(obj, type))) + return 1; + obj_type_name = __Pyx_PyType_GetFullyQualifiedName(Py_TYPE(obj)); + type_name = __Pyx_PyType_GetFullyQualifiedName(type); + PyErr_Format(PyExc_TypeError, + "Cannot convert " __Pyx_FMT_TYPENAME " to " __Pyx_FMT_TYPENAME, + obj_type_name, type_name); + __Pyx_DECREF_TypeName(obj_type_name); + __Pyx_DECREF_TypeName(type_name); + return 0; +} + +/* CIntToPyUnicode */ +static CYTHON_INLINE PyObject* __Pyx_uchar___Pyx_PyUnicode_From_int(int value, Py_ssize_t width, char padding_char) { +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const int neg_one = (int) -1, const_zero = (int) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; + if (unlikely(!(is_unsigned || value == 0 || value > 0) || + !(sizeof(value) <= 2 || value & ~ (int) 0x01fffff || __Pyx_CheckUnicodeValue((int) value)))) { + PyErr_SetString(PyExc_OverflowError, "%c arg not in range(0x110000)"); + return NULL; + } + if (width <= 1) { + return PyUnicode_FromOrdinal((int) value); + } + return __Pyx_PyUnicode_FromOrdinal_Padded((int) value, width, padding_char); +} +static CYTHON_INLINE PyObject* __Pyx____Pyx_PyUnicode_From_int(int value, Py_ssize_t width, char padding_char, char format_char) { + char digits[sizeof(int)*3+2]; + char *dpos, *end = digits + sizeof(int)*3+2; + const char *hex_digits = DIGITS_HEX; + Py_ssize_t length, ulength; + int prepend_sign, last_one_off; + int remaining; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const int neg_one = (int) -1, const_zero = (int) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; + if (format_char == 'X') { + hex_digits += 16; + format_char = 'x'; + } + remaining = value; + last_one_off = 0; + dpos = end; + do { + int digit_pos; + switch (format_char) { + case 'o': + digit_pos = abs((int)(remaining % (8*8))); + remaining = (int) (remaining / (8*8)); + dpos -= 2; + memcpy(dpos, DIGIT_PAIRS_8 + digit_pos * 2, 2); + last_one_off = (digit_pos < 8); + break; + case 'd': + digit_pos = abs((int)(remaining % (10*10))); + remaining = (int) (remaining / (10*10)); + dpos -= 2; + memcpy(dpos, DIGIT_PAIRS_10 + digit_pos * 2, 2); + last_one_off = (digit_pos < 10); + break; + case 'x': + *(--dpos) = hex_digits[abs((int)(remaining % 16))]; + remaining = (int) (remaining / 16); + break; + default: + assert(0); + break; + } + } while (unlikely(remaining != 0)); + assert(!last_one_off || *dpos == '0'); + dpos += last_one_off; + length = end - dpos; + ulength = length; + prepend_sign = 0; + if (!is_unsigned && value <= neg_one) { + if (padding_char == ' ' || width <= length + 1) { + *(--dpos) = '-'; + ++length; + } else { + prepend_sign = 1; + } + ++ulength; + } + if (width > ulength) { + ulength = width; + } + if (ulength == 1) { + return PyUnicode_FromOrdinal(*dpos); + } + return __Pyx_PyUnicode_BuildFromAscii(ulength, dpos, (int) length, prepend_sign, padding_char); +} + +/* RejectKeywords */ +static void __Pyx_RejectKeywords(const char* function_name, PyObject *kwds) { + PyObject *key = NULL; + if (CYTHON_METH_FASTCALL && likely(PyTuple_Check(kwds))) { + key = __Pyx_PySequence_ITEM(kwds, 0); + } else { +#if CYTHON_AVOID_BORROWED_REFS + PyObject *pos = NULL; +#else + Py_ssize_t pos = 0; +#endif +#if !CYTHON_COMPILING_IN_PYPY || defined(PyArg_ValidateKeywordArguments) + if (unlikely(!PyArg_ValidateKeywordArguments(kwds))) return; +#endif + __Pyx_PyDict_NextRef(kwds, &pos, &key, NULL); +#if CYTHON_AVOID_BORROWED_REFS + Py_XDECREF(pos); +#endif + } + if (likely(key)) { + PyErr_Format(PyExc_TypeError, + "%s() got an unexpected keyword argument '%U'", + function_name, key); + Py_DECREF(key); + } +} + +/* AllocateExtensionType */ +static PyObject *__Pyx_AllocateExtensionType(PyTypeObject *t, int is_final) { + if (is_final || likely(!__Pyx_PyType_HasFeature(t, Py_TPFLAGS_IS_ABSTRACT))) { + allocfunc alloc_func = __Pyx_PyType_GetSlot(t, tp_alloc, allocfunc); + return alloc_func(t, 0); + } else { + newfunc tp_new = __Pyx_PyType_TryGetSlot(&PyBaseObject_Type, tp_new, newfunc); + #if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030A0000 + if (!tp_new) { + PyObject *new_str = PyUnicode_FromString("__new__"); + if (likely(new_str)) { + PyObject *o = PyObject_CallMethodObjArgs((PyObject *)&PyBaseObject_Type, new_str, t, NULL); + Py_DECREF(new_str); + return o; + } else + return NULL; + } else + #endif + return tp_new(t, __pyx_mstate_global->__pyx_empty_tuple, 0); + } +} + +/* LimitedApiGetTypeDict (used by SetItemOnTypeDict) */ +#if CYTHON_COMPILING_IN_LIMITED_API +static Py_ssize_t __Pyx_GetTypeDictOffset(void) { + PyObject *tp_dictoffset_o; + Py_ssize_t tp_dictoffset; + tp_dictoffset_o = PyObject_GetAttrString((PyObject*)(&PyType_Type), "__dictoffset__"); + if (unlikely(!tp_dictoffset_o)) return -1; + tp_dictoffset = PyLong_AsSsize_t(tp_dictoffset_o); + Py_DECREF(tp_dictoffset_o); + if (unlikely(tp_dictoffset == 0)) { + PyErr_SetString( + PyExc_TypeError, + "'type' doesn't have a dictoffset"); + return -1; + } else if (unlikely(tp_dictoffset < 0)) { + PyErr_SetString( + PyExc_TypeError, + "'type' has an unexpected negative dictoffset. " + "Please report this as Cython bug"); + return -1; + } + return tp_dictoffset; +} +static PyObject *__Pyx_GetTypeDict(PyTypeObject *tp) { + static Py_ssize_t tp_dictoffset = 0; + if (unlikely(tp_dictoffset == 0)) { + tp_dictoffset = __Pyx_GetTypeDictOffset(); + if (unlikely(tp_dictoffset == -1 && PyErr_Occurred())) { + tp_dictoffset = 0; // try again next time? + return NULL; + } + } + return *(PyObject**)((char*)tp + tp_dictoffset); +} +#endif + +/* SetItemOnTypeDict (used by FixUpExtensionType) */ +static int __Pyx__SetItemOnTypeDict(PyTypeObject *tp, PyObject *k, PyObject *v) { + int result; + PyObject *tp_dict; +#if CYTHON_COMPILING_IN_LIMITED_API + tp_dict = __Pyx_GetTypeDict(tp); + if (unlikely(!tp_dict)) return -1; +#else + tp_dict = tp->tp_dict; +#endif + result = PyDict_SetItem(tp_dict, k, v); + if (likely(!result)) { + PyType_Modified(tp); + if (unlikely(PyObject_HasAttr(v, __pyx_mstate_global->__pyx_n_u_set_name))) { + PyObject *setNameResult = PyObject_CallMethodObjArgs(v, __pyx_mstate_global->__pyx_n_u_set_name, (PyObject *) tp, k, NULL); + if (!setNameResult) return -1; + Py_DECREF(setNameResult); + } + } + return result; +} + +/* FixUpExtensionType */ +static int __Pyx_fix_up_extension_type_from_spec(PyType_Spec *spec, PyTypeObject *type) { +#if __PYX_LIMITED_VERSION_HEX > 0x030900B1 + CYTHON_UNUSED_VAR(spec); + CYTHON_UNUSED_VAR(type); + CYTHON_UNUSED_VAR(__Pyx__SetItemOnTypeDict); +#else + const PyType_Slot *slot = spec->slots; + int changed = 0; +#if !CYTHON_COMPILING_IN_LIMITED_API + while (slot && slot->slot && slot->slot != Py_tp_members) + slot++; + if (slot && slot->slot == Py_tp_members) { +#if !CYTHON_COMPILING_IN_CPYTHON + const +#endif // !CYTHON_COMPILING_IN_CPYTHON) + PyMemberDef *memb = (PyMemberDef*) slot->pfunc; + while (memb && memb->name) { + if (memb->name[0] == '_' && memb->name[1] == '_') { + if (strcmp(memb->name, "__weaklistoffset__") == 0) { + assert(memb->type == T_PYSSIZET); + assert(memb->flags == READONLY); + type->tp_weaklistoffset = memb->offset; + changed = 1; + } + else if (strcmp(memb->name, "__dictoffset__") == 0) { + assert(memb->type == T_PYSSIZET); + assert(memb->flags == READONLY); + type->tp_dictoffset = memb->offset; + changed = 1; + } +#if CYTHON_METH_FASTCALL + else if (strcmp(memb->name, "__vectorcalloffset__") == 0) { + assert(memb->type == T_PYSSIZET); + assert(memb->flags == READONLY); + type->tp_vectorcall_offset = memb->offset; + changed = 1; + } +#endif // CYTHON_METH_FASTCALL +#if !CYTHON_COMPILING_IN_PYPY + else if (strcmp(memb->name, "__module__") == 0) { + PyObject *descr; + assert(memb->type == T_OBJECT); + assert(memb->flags == 0 || memb->flags == READONLY); + descr = PyDescr_NewMember(type, memb); + if (unlikely(!descr)) + return -1; + int set_item_result = PyDict_SetItem(type->tp_dict, PyDescr_NAME(descr), descr); + Py_DECREF(descr); + if (unlikely(set_item_result < 0)) { + return -1; + } + changed = 1; + } +#endif // !CYTHON_COMPILING_IN_PYPY + } + memb++; + } + } +#endif // !CYTHON_COMPILING_IN_LIMITED_API +#if !CYTHON_COMPILING_IN_PYPY + slot = spec->slots; + while (slot && slot->slot && slot->slot != Py_tp_getset) + slot++; + if (slot && slot->slot == Py_tp_getset) { + PyGetSetDef *getset = (PyGetSetDef*) slot->pfunc; + while (getset && getset->name) { + if (getset->name[0] == '_' && getset->name[1] == '_' && strcmp(getset->name, "__module__") == 0) { + PyObject *descr = PyDescr_NewGetSet(type, getset); + if (unlikely(!descr)) + return -1; + #if CYTHON_COMPILING_IN_LIMITED_API + PyObject *pyname = PyUnicode_FromString(getset->name); + if (unlikely(!pyname)) { + Py_DECREF(descr); + return -1; + } + int set_item_result = __Pyx_SetItemOnTypeDict(type, pyname, descr); + Py_DECREF(pyname); + #else + CYTHON_UNUSED_VAR(__Pyx__SetItemOnTypeDict); + int set_item_result = PyDict_SetItem(type->tp_dict, PyDescr_NAME(descr), descr); + #endif + Py_DECREF(descr); + if (unlikely(set_item_result < 0)) { + return -1; + } + changed = 1; + } + ++getset; + } + } +#else + CYTHON_UNUSED_VAR(__Pyx__SetItemOnTypeDict); +#endif // !CYTHON_COMPILING_IN_PYPY + if (changed) + PyType_Modified(type); +#endif // PY_VERSION_HEX > 0x030900B1 + return 0; +} + +/* ValidateBasesTuple (used by PyType_Ready) */ +#if CYTHON_COMPILING_IN_CPYTHON || CYTHON_COMPILING_IN_LIMITED_API || CYTHON_USE_TYPE_SPECS +static int __Pyx_validate_bases_tuple(const char *type_name, Py_ssize_t dictoffset, PyObject *bases) { + Py_ssize_t i, n; +#if CYTHON_ASSUME_SAFE_SIZE + n = PyTuple_GET_SIZE(bases); +#else + n = PyTuple_Size(bases); + if (unlikely(n < 0)) return -1; +#endif + for (i = 1; i < n; i++) + { + PyTypeObject *b; +#if CYTHON_AVOID_BORROWED_REFS + PyObject *b0 = PySequence_GetItem(bases, i); + if (!b0) return -1; +#elif CYTHON_ASSUME_SAFE_MACROS + PyObject *b0 = PyTuple_GET_ITEM(bases, i); +#else + PyObject *b0 = PyTuple_GetItem(bases, i); + if (!b0) return -1; +#endif + b = (PyTypeObject*) b0; + if (!__Pyx_PyType_HasFeature(b, Py_TPFLAGS_HEAPTYPE)) + { + __Pyx_TypeName b_name = __Pyx_PyType_GetFullyQualifiedName(b); + PyErr_Format(PyExc_TypeError, + "base class '" __Pyx_FMT_TYPENAME "' is not a heap type", b_name); + __Pyx_DECREF_TypeName(b_name); +#if CYTHON_AVOID_BORROWED_REFS + Py_DECREF(b0); +#endif + return -1; + } + if (dictoffset == 0) + { + Py_ssize_t b_dictoffset = 0; +#if CYTHON_USE_TYPE_SLOTS + b_dictoffset = b->tp_dictoffset; +#else + PyObject *py_b_dictoffset = PyObject_GetAttrString((PyObject*)b, "__dictoffset__"); + if (!py_b_dictoffset) goto dictoffset_return; + b_dictoffset = PyLong_AsSsize_t(py_b_dictoffset); + Py_DECREF(py_b_dictoffset); + if (b_dictoffset == -1 && PyErr_Occurred()) goto dictoffset_return; +#endif + if (b_dictoffset) { + { + __Pyx_TypeName b_name = __Pyx_PyType_GetFullyQualifiedName(b); + PyErr_Format(PyExc_TypeError, + "extension type '%.200s' has no __dict__ slot, " + "but base type '" __Pyx_FMT_TYPENAME "' has: " + "either add 'cdef dict __dict__' to the extension type " + "or add '__slots__ = [...]' to the base type", + type_name, b_name); + __Pyx_DECREF_TypeName(b_name); + } +#if !CYTHON_USE_TYPE_SLOTS + dictoffset_return: +#endif +#if CYTHON_AVOID_BORROWED_REFS + Py_DECREF(b0); +#endif + return -1; + } + } +#if CYTHON_AVOID_BORROWED_REFS + Py_DECREF(b0); +#endif + } + return 0; +} +#endif + +/* PyType_Ready */ +CYTHON_UNUSED static int __Pyx_PyType_HasMultipleInheritance(PyTypeObject *t) { + while (t) { + PyObject *bases = __Pyx_PyType_GetSlot(t, tp_bases, PyObject*); + if (bases) { + return 1; + } + t = __Pyx_PyType_GetSlot(t, tp_base, PyTypeObject*); + } + return 0; +} +static int __Pyx_PyType_Ready(PyTypeObject *t) { +#if CYTHON_USE_TYPE_SPECS || !CYTHON_COMPILING_IN_CPYTHON || defined(PYSTON_MAJOR_VERSION) + (void)__Pyx_PyObject_CallMethod0; +#if CYTHON_USE_TYPE_SPECS + (void)__Pyx_validate_bases_tuple; +#endif + return PyType_Ready(t); +#else + int r; + if (!__Pyx_PyType_HasMultipleInheritance(t)) { + return PyType_Ready(t); + } + PyObject *bases = __Pyx_PyType_GetSlot(t, tp_bases, PyObject*); + if (bases && unlikely(__Pyx_validate_bases_tuple(t->tp_name, t->tp_dictoffset, bases) == -1)) + return -1; +#if !defined(PYSTON_MAJOR_VERSION) + { + int gc_was_enabled; + #if PY_VERSION_HEX >= 0x030A00b1 + gc_was_enabled = PyGC_Disable(); + (void)__Pyx_PyObject_CallMethod0; + #else + PyObject *ret, *py_status; + PyObject *gc = NULL; + #if (!CYTHON_COMPILING_IN_PYPY || PYPY_VERSION_NUM+0 >= 0x07030400) &&\ + !CYTHON_COMPILING_IN_GRAAL + gc = PyImport_GetModule(__pyx_mstate_global->__pyx_kp_u_gc); + #endif + if (unlikely(!gc)) gc = PyImport_Import(__pyx_mstate_global->__pyx_kp_u_gc); + if (unlikely(!gc)) return -1; + py_status = __Pyx_PyObject_CallMethod0(gc, __pyx_mstate_global->__pyx_kp_u_isenabled); + if (unlikely(!py_status)) { + Py_DECREF(gc); + return -1; + } + gc_was_enabled = __Pyx_PyObject_IsTrue(py_status); + Py_DECREF(py_status); + if (gc_was_enabled > 0) { + ret = __Pyx_PyObject_CallMethod0(gc, __pyx_mstate_global->__pyx_kp_u_disable); + if (unlikely(!ret)) { + Py_DECREF(gc); + return -1; + } + Py_DECREF(ret); + } else if (unlikely(gc_was_enabled == -1)) { + Py_DECREF(gc); + return -1; + } + #endif + t->tp_flags |= Py_TPFLAGS_HEAPTYPE; +#if PY_VERSION_HEX >= 0x030A0000 + t->tp_flags |= Py_TPFLAGS_IMMUTABLETYPE; +#endif +#else + (void)__Pyx_PyObject_CallMethod0; +#endif + r = PyType_Ready(t); +#if !defined(PYSTON_MAJOR_VERSION) + t->tp_flags &= ~Py_TPFLAGS_HEAPTYPE; + #if PY_VERSION_HEX >= 0x030A00b1 + if (gc_was_enabled) + PyGC_Enable(); + #else + if (gc_was_enabled) { + PyObject *tp, *v, *tb; + PyErr_Fetch(&tp, &v, &tb); + ret = __Pyx_PyObject_CallMethod0(gc, __pyx_mstate_global->__pyx_kp_u_enable); + if (likely(ret || r == -1)) { + Py_XDECREF(ret); + PyErr_Restore(tp, v, tb); + } else { + Py_XDECREF(tp); + Py_XDECREF(v); + Py_XDECREF(tb); + r = -1; + } + } + Py_DECREF(gc); + #endif + } +#endif + return r; +#endif +} + +/* SetVTable */ +static int __Pyx_SetVtable(PyTypeObject *type, void *vtable) { + PyObject *ob = PyCapsule_New(vtable, 0, 0); + if (unlikely(!ob)) + goto bad; +#if CYTHON_COMPILING_IN_LIMITED_API + if (unlikely(PyObject_SetAttr((PyObject *) type, __pyx_mstate_global->__pyx_n_u_pyx_vtable, ob) < 0)) +#else + if (unlikely(PyDict_SetItem(type->tp_dict, __pyx_mstate_global->__pyx_n_u_pyx_vtable, ob) < 0)) +#endif + goto bad; + Py_DECREF(ob); + return 0; +bad: + Py_XDECREF(ob); + return -1; +} + +/* GetVTable (used by MergeVTables) */ +static void* __Pyx_GetVtable(PyTypeObject *type) { + void* ptr; +#if CYTHON_COMPILING_IN_LIMITED_API + PyObject *ob = PyObject_GetAttr((PyObject *)type, __pyx_mstate_global->__pyx_n_u_pyx_vtable); +#else + PyObject *ob = PyObject_GetItem(type->tp_dict, __pyx_mstate_global->__pyx_n_u_pyx_vtable); +#endif + if (!ob) + goto bad; + ptr = PyCapsule_GetPointer(ob, 0); + if (!ptr && !PyErr_Occurred()) + PyErr_SetString(PyExc_RuntimeError, "invalid vtable found for imported type"); + Py_DECREF(ob); + return ptr; +bad: + Py_XDECREF(ob); + return NULL; +} + +/* MergeVTables */ +static int __Pyx_MergeVtables(PyTypeObject *type) { + int i=0; + Py_ssize_t size; + void** base_vtables; + __Pyx_TypeName tp_base_name = NULL; + __Pyx_TypeName base_name = NULL; + void* unknown = (void*)-1; + PyObject* bases = __Pyx_PyType_GetSlot(type, tp_bases, PyObject*); + int base_depth = 0; + { + PyTypeObject* base = __Pyx_PyType_GetSlot(type, tp_base, PyTypeObject*); + while (base) { + base_depth += 1; + base = __Pyx_PyType_GetSlot(base, tp_base, PyTypeObject*); + } + } + base_vtables = (void**) PyMem_Malloc(sizeof(void*) * (size_t)(base_depth + 1)); + base_vtables[0] = unknown; +#if CYTHON_COMPILING_IN_LIMITED_API + size = PyTuple_Size(bases); + if (size < 0) goto other_failure; +#else + size = PyTuple_GET_SIZE(bases); +#endif + for (i = 1; i < size; i++) { + PyObject *basei; + void* base_vtable; +#if CYTHON_AVOID_BORROWED_REFS + basei = PySequence_GetItem(bases, i); + if (unlikely(!basei)) goto other_failure; +#elif !CYTHON_ASSUME_SAFE_MACROS + basei = PyTuple_GetItem(bases, i); + if (unlikely(!basei)) goto other_failure; +#else + basei = PyTuple_GET_ITEM(bases, i); +#endif + base_vtable = __Pyx_GetVtable((PyTypeObject*)basei); +#if CYTHON_AVOID_BORROWED_REFS + Py_DECREF(basei); +#endif + if (base_vtable != NULL) { + int j; + PyTypeObject* base = __Pyx_PyType_GetSlot(type, tp_base, PyTypeObject*); + for (j = 0; j < base_depth; j++) { + if (base_vtables[j] == unknown) { + base_vtables[j] = __Pyx_GetVtable(base); + base_vtables[j + 1] = unknown; + } + if (base_vtables[j] == base_vtable) { + break; + } else if (base_vtables[j] == NULL) { + goto bad; + } + base = __Pyx_PyType_GetSlot(base, tp_base, PyTypeObject*); + } + } + } + PyErr_Clear(); + PyMem_Free(base_vtables); + return 0; +bad: + { + PyTypeObject* basei = NULL; + PyTypeObject* tp_base = __Pyx_PyType_GetSlot(type, tp_base, PyTypeObject*); + tp_base_name = __Pyx_PyType_GetFullyQualifiedName(tp_base); +#if CYTHON_AVOID_BORROWED_REFS + basei = (PyTypeObject*)PySequence_GetItem(bases, i); + if (unlikely(!basei)) goto really_bad; +#elif !CYTHON_ASSUME_SAFE_MACROS + basei = (PyTypeObject*)PyTuple_GetItem(bases, i); + if (unlikely(!basei)) goto really_bad; +#else + basei = (PyTypeObject*)PyTuple_GET_ITEM(bases, i); +#endif + base_name = __Pyx_PyType_GetFullyQualifiedName(basei); +#if CYTHON_AVOID_BORROWED_REFS + Py_DECREF(basei); +#endif + } + PyErr_Format(PyExc_TypeError, + "multiple bases have vtable conflict: '" __Pyx_FMT_TYPENAME "' and '" __Pyx_FMT_TYPENAME "'", tp_base_name, base_name); +#if CYTHON_AVOID_BORROWED_REFS || !CYTHON_ASSUME_SAFE_MACROS +really_bad: // bad has failed! +#endif + __Pyx_DECREF_TypeName(tp_base_name); + __Pyx_DECREF_TypeName(base_name); +#if CYTHON_COMPILING_IN_LIMITED_API || CYTHON_AVOID_BORROWED_REFS || !CYTHON_ASSUME_SAFE_MACROS +other_failure: +#endif + PyMem_Free(base_vtables); + return -1; +} + /* TypeImport */ #ifndef __PYX_HAVE_RT_ImportType_3_2_8 #define __PYX_HAVE_RT_ImportType_3_2_8 @@ -110508,181 +310079,249 @@ static PyObject *__Pyx_Import(PyObject *name, PyObject *const *imported_names, P return __Pyx__Import(name, imported_names, len_imported_names, qualname, __pyx_mstate_global->__pyx_d, level); } -/* dict_setdefault (used by FetchCommonType) */ -static CYTHON_INLINE PyObject *__Pyx_PyDict_SetDefault(PyObject *d, PyObject *key, PyObject *default_value) { - PyObject* value; -#if __PYX_LIMITED_VERSION_HEX >= 0x030F0000 || (!CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x030d00A4) - PyDict_SetDefaultRef(d, key, default_value, &value); -#elif CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX >= 0x030C0000 - PyObject *args[] = {d, key, default_value}; - value = PyObject_VectorcallMethod(__pyx_mstate_global->__pyx_n_u_setdefault, args, 3 | PY_VECTORCALL_ARGUMENTS_OFFSET, NULL); -#elif CYTHON_COMPILING_IN_LIMITED_API - value = PyObject_CallMethodObjArgs(d, __pyx_mstate_global->__pyx_n_u_setdefault, key, default_value, NULL); +/* Py3UpdateBases */ +static PyObject* +__Pyx_PEP560_update_bases(PyObject *bases) +{ + Py_ssize_t i, j, size_bases; + PyObject *base = NULL, *meth, *new_base, *result, *new_bases = NULL; +#if CYTHON_ASSUME_SAFE_SIZE + size_bases = PyTuple_GET_SIZE(bases); #else - value = PyDict_SetDefault(d, key, default_value); - if (unlikely(!value)) return NULL; - Py_INCREF(value); + size_bases = PyTuple_Size(bases); + if (size_bases < 0) return NULL; #endif - return value; + for (i = 0; i < size_bases; i++) { +#if CYTHON_AVOID_BORROWED_REFS + Py_CLEAR(base); +#endif +#if CYTHON_ASSUME_SAFE_MACROS + base = PyTuple_GET_ITEM(bases, i); +#else + base = PyTuple_GetItem(bases, i); + if (!base) goto error; +#endif +#if CYTHON_AVOID_BORROWED_REFS + Py_INCREF(base); +#endif + if (PyType_Check(base)) { + if (new_bases) { + if (PyList_Append(new_bases, base) < 0) { + goto error; + } + } + continue; + } + meth = __Pyx_PyObject_GetAttrStrNoError(base, __pyx_mstate_global->__pyx_n_u_mro_entries); + if (!meth && PyErr_Occurred()) { + goto error; + } + if (!meth) { + if (new_bases) { + if (PyList_Append(new_bases, base) < 0) { + goto error; + } + } + continue; + } + new_base = __Pyx_PyObject_CallOneArg(meth, bases); + Py_DECREF(meth); + if (!new_base) { + goto error; + } + if (!PyTuple_Check(new_base)) { + PyErr_SetString(PyExc_TypeError, + "__mro_entries__ must return a tuple"); + Py_DECREF(new_base); + goto error; + } + if (!new_bases) { + if (!(new_bases = PyList_New(i))) { + goto error; + } + for (j = 0; j < i; j++) { + PyObject *base_from_list; +#if CYTHON_ASSUME_SAFE_MACROS + base_from_list = PyTuple_GET_ITEM(bases, j); + PyList_SET_ITEM(new_bases, j, base_from_list); + Py_INCREF(base_from_list); +#else + base_from_list = PyTuple_GetItem(bases, j); + if (!base_from_list) goto error; + Py_INCREF(base_from_list); + if (PyList_SetItem(new_bases, j, base_from_list) < 0) goto error; +#endif + } + } +#if CYTHON_ASSUME_SAFE_SIZE + j = PyList_GET_SIZE(new_bases); +#else + j = PyList_Size(new_bases); + if (j < 0) goto error; +#endif + if (PyList_SetSlice(new_bases, j, j, new_base) < 0) { + goto error; + } + Py_DECREF(new_base); + } + if (!new_bases) { + Py_INCREF(bases); + return bases; + } + result = PyList_AsTuple(new_bases); + Py_DECREF(new_bases); +#if CYTHON_AVOID_BORROWED_REFS + Py_XDECREF(base); +#endif + return result; +error: + Py_XDECREF(new_bases); +#if CYTHON_AVOID_BORROWED_REFS + Py_XDECREF(base); +#endif + return NULL; } -/* LimitedApiGetTypeDict (used by SetItemOnTypeDict) */ -#if CYTHON_COMPILING_IN_LIMITED_API -static Py_ssize_t __Pyx_GetTypeDictOffset(void) { - PyObject *tp_dictoffset_o; - Py_ssize_t tp_dictoffset; - tp_dictoffset_o = PyObject_GetAttrString((PyObject*)(&PyType_Type), "__dictoffset__"); - if (unlikely(!tp_dictoffset_o)) return -1; - tp_dictoffset = PyLong_AsSsize_t(tp_dictoffset_o); - Py_DECREF(tp_dictoffset_o); - if (unlikely(tp_dictoffset == 0)) { - PyErr_SetString( - PyExc_TypeError, - "'type' doesn't have a dictoffset"); - return -1; - } else if (unlikely(tp_dictoffset < 0)) { - PyErr_SetString( - PyExc_TypeError, - "'type' has an unexpected negative dictoffset. " - "Please report this as Cython bug"); - return -1; +/* CalculateMetaclass */ +static PyObject *__Pyx_CalculateMetaclass(PyTypeObject *metaclass, PyObject *bases) { + Py_ssize_t i, nbases; +#if CYTHON_ASSUME_SAFE_SIZE + nbases = PyTuple_GET_SIZE(bases); +#else + nbases = PyTuple_Size(bases); + if (nbases < 0) return NULL; +#endif + for (i=0; i < nbases; i++) { + PyTypeObject *tmptype; +#if CYTHON_ASSUME_SAFE_MACROS + PyObject *tmp = PyTuple_GET_ITEM(bases, i); +#else + PyObject *tmp = PyTuple_GetItem(bases, i); + if (!tmp) return NULL; +#endif + tmptype = Py_TYPE(tmp); + if (!metaclass) { + metaclass = tmptype; + continue; + } + if (PyType_IsSubtype(metaclass, tmptype)) + continue; + if (PyType_IsSubtype(tmptype, metaclass)) { + metaclass = tmptype; + continue; + } + PyErr_SetString(PyExc_TypeError, + "metaclass conflict: " + "the metaclass of a derived class " + "must be a (non-strict) subclass " + "of the metaclasses of all its bases"); + return NULL; } - return tp_dictoffset; + if (!metaclass) { + metaclass = &PyType_Type; + } + Py_INCREF((PyObject*) metaclass); + return (PyObject*) metaclass; } -static PyObject *__Pyx_GetTypeDict(PyTypeObject *tp) { - static Py_ssize_t tp_dictoffset = 0; - if (unlikely(tp_dictoffset == 0)) { - tp_dictoffset = __Pyx_GetTypeDictOffset(); - if (unlikely(tp_dictoffset == -1 && PyErr_Occurred())) { - tp_dictoffset = 0; // try again next time? - return NULL; + +/* PyObjectCall2Args (used by Py3ClassCreate) */ +static CYTHON_INLINE PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) { + PyObject *args[3] = {NULL, arg1, arg2}; + return __Pyx_PyObject_FastCall(function, args+1, 2 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET); +} + +/* PyObjectLookupSpecial (used by Py3ClassCreate) */ +#if CYTHON_USE_PYTYPE_LOOKUP && CYTHON_USE_TYPE_SLOTS +static CYTHON_INLINE PyObject* __Pyx__PyObject_LookupSpecial(PyObject* obj, PyObject* attr_name, int with_error) { + PyObject *res; + PyTypeObject *tp = Py_TYPE(obj); + res = _PyType_Lookup(tp, attr_name); + if (likely(res)) { + descrgetfunc f = Py_TYPE(res)->tp_descr_get; + if (!f) { + Py_INCREF(res); + } else { + res = f(res, obj, (PyObject *)tp); } + } else if (with_error) { + PyErr_SetObject(PyExc_AttributeError, attr_name); } - return *(PyObject**)((char*)tp + tp_dictoffset); + return res; } #endif -/* SetItemOnTypeDict (used by FixUpExtensionType) */ -static int __Pyx__SetItemOnTypeDict(PyTypeObject *tp, PyObject *k, PyObject *v) { - int result; - PyObject *tp_dict; -#if CYTHON_COMPILING_IN_LIMITED_API - tp_dict = __Pyx_GetTypeDict(tp); - if (unlikely(!tp_dict)) return -1; -#else - tp_dict = tp->tp_dict; -#endif - result = PyDict_SetItem(tp_dict, k, v); - if (likely(!result)) { - PyType_Modified(tp); - if (unlikely(PyObject_HasAttr(v, __pyx_mstate_global->__pyx_n_u_set_name))) { - PyObject *setNameResult = PyObject_CallMethodObjArgs(v, __pyx_mstate_global->__pyx_n_u_set_name, (PyObject *) tp, k, NULL); - if (!setNameResult) return -1; - Py_DECREF(setNameResult); +/* Py3ClassCreate */ +static PyObject *__Pyx_Py3MetaclassPrepare(PyObject *metaclass, PyObject *bases, PyObject *name, + PyObject *qualname, PyObject *mkw, PyObject *modname, PyObject *doc) { + PyObject *ns; + if (metaclass) { + PyObject *prep = __Pyx_PyObject_GetAttrStrNoError(metaclass, __pyx_mstate_global->__pyx_n_u_prepare); + if (prep) { + PyObject *pargs[3] = {NULL, name, bases}; + ns = __Pyx_PyObject_FastCallDict(prep, pargs+1, 2 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET, mkw); + Py_DECREF(prep); + } else { + if (unlikely(PyErr_Occurred())) + return NULL; + ns = PyDict_New(); } + } else { + ns = PyDict_New(); } - return result; + if (unlikely(!ns)) + return NULL; + if (unlikely(PyObject_SetItem(ns, __pyx_mstate_global->__pyx_n_u_module, modname) < 0)) goto bad; + if (unlikely(PyObject_SetItem(ns, __pyx_mstate_global->__pyx_n_u_qualname, qualname) < 0)) goto bad; + if (unlikely(doc && PyObject_SetItem(ns, __pyx_mstate_global->__pyx_n_u_doc, doc) < 0)) goto bad; + return ns; +bad: + Py_DECREF(ns); + return NULL; } - -/* FixUpExtensionType (used by FetchCommonType) */ -static int __Pyx_fix_up_extension_type_from_spec(PyType_Spec *spec, PyTypeObject *type) { -#if __PYX_LIMITED_VERSION_HEX > 0x030900B1 - CYTHON_UNUSED_VAR(spec); - CYTHON_UNUSED_VAR(type); - CYTHON_UNUSED_VAR(__Pyx__SetItemOnTypeDict); -#else - const PyType_Slot *slot = spec->slots; - int changed = 0; -#if !CYTHON_COMPILING_IN_LIMITED_API - while (slot && slot->slot && slot->slot != Py_tp_members) - slot++; - if (slot && slot->slot == Py_tp_members) { -#if !CYTHON_COMPILING_IN_CPYTHON - const -#endif // !CYTHON_COMPILING_IN_CPYTHON) - PyMemberDef *memb = (PyMemberDef*) slot->pfunc; - while (memb && memb->name) { - if (memb->name[0] == '_' && memb->name[1] == '_') { - if (strcmp(memb->name, "__weaklistoffset__") == 0) { - assert(memb->type == T_PYSSIZET); - assert(memb->flags == READONLY); - type->tp_weaklistoffset = memb->offset; - changed = 1; - } - else if (strcmp(memb->name, "__dictoffset__") == 0) { - assert(memb->type == T_PYSSIZET); - assert(memb->flags == READONLY); - type->tp_dictoffset = memb->offset; - changed = 1; - } -#if CYTHON_METH_FASTCALL - else if (strcmp(memb->name, "__vectorcalloffset__") == 0) { - assert(memb->type == T_PYSSIZET); - assert(memb->flags == READONLY); - type->tp_vectorcall_offset = memb->offset; - changed = 1; - } -#endif // CYTHON_METH_FASTCALL -#if !CYTHON_COMPILING_IN_PYPY - else if (strcmp(memb->name, "__module__") == 0) { - PyObject *descr; - assert(memb->type == T_OBJECT); - assert(memb->flags == 0 || memb->flags == READONLY); - descr = PyDescr_NewMember(type, memb); - if (unlikely(!descr)) - return -1; - int set_item_result = PyDict_SetItem(type->tp_dict, PyDescr_NAME(descr), descr); - Py_DECREF(descr); - if (unlikely(set_item_result < 0)) { - return -1; - } - changed = 1; - } -#endif // !CYTHON_COMPILING_IN_PYPY - } - memb++; +static PyObject *__Pyx_Py3ClassCreate(PyObject *metaclass, PyObject *name, PyObject *bases, + PyObject *dict, PyObject *mkw, + int calculate_metaclass, int allow_py2_metaclass) { + PyObject *result; + PyObject *owned_metaclass = NULL; + PyObject *margs[4] = {NULL, name, bases, dict}; + if (allow_py2_metaclass) { + owned_metaclass = PyObject_GetItem(dict, __pyx_mstate_global->__pyx_n_u_metaclass); + if (owned_metaclass) { + metaclass = owned_metaclass; + } else if (likely(PyErr_ExceptionMatches(PyExc_KeyError))) { + PyErr_Clear(); + } else { + return NULL; } } -#endif // !CYTHON_COMPILING_IN_LIMITED_API -#if !CYTHON_COMPILING_IN_PYPY - slot = spec->slots; - while (slot && slot->slot && slot->slot != Py_tp_getset) - slot++; - if (slot && slot->slot == Py_tp_getset) { - PyGetSetDef *getset = (PyGetSetDef*) slot->pfunc; - while (getset && getset->name) { - if (getset->name[0] == '_' && getset->name[1] == '_' && strcmp(getset->name, "__module__") == 0) { - PyObject *descr = PyDescr_NewGetSet(type, getset); - if (unlikely(!descr)) - return -1; - #if CYTHON_COMPILING_IN_LIMITED_API - PyObject *pyname = PyUnicode_FromString(getset->name); - if (unlikely(!pyname)) { - Py_DECREF(descr); - return -1; - } - int set_item_result = __Pyx_SetItemOnTypeDict(type, pyname, descr); - Py_DECREF(pyname); - #else - CYTHON_UNUSED_VAR(__Pyx__SetItemOnTypeDict); - int set_item_result = PyDict_SetItem(type->tp_dict, PyDescr_NAME(descr), descr); - #endif - Py_DECREF(descr); - if (unlikely(set_item_result < 0)) { - return -1; - } - changed = 1; - } - ++getset; - } + if (calculate_metaclass && (!metaclass || PyType_Check(metaclass))) { + metaclass = __Pyx_CalculateMetaclass((PyTypeObject*) metaclass, bases); + Py_XDECREF(owned_metaclass); + if (unlikely(!metaclass)) + return NULL; + owned_metaclass = metaclass; } + result = __Pyx_PyObject_FastCallDict(metaclass, margs+1, 3 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET, mkw); + Py_XDECREF(owned_metaclass); + return result; +} + +/* dict_setdefault (used by FetchCommonType) */ +static CYTHON_INLINE PyObject *__Pyx_PyDict_SetDefault(PyObject *d, PyObject *key, PyObject *default_value) { + PyObject* value; +#if __PYX_LIMITED_VERSION_HEX >= 0x030F0000 || (!CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x030d00A4) + PyDict_SetDefaultRef(d, key, default_value, &value); +#elif CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX >= 0x030C0000 + PyObject *args[] = {d, key, default_value}; + value = PyObject_VectorcallMethod(__pyx_mstate_global->__pyx_n_u_setdefault, args, 3 | PY_VECTORCALL_ARGUMENTS_OFFSET, NULL); +#elif CYTHON_COMPILING_IN_LIMITED_API + value = PyObject_CallMethodObjArgs(d, __pyx_mstate_global->__pyx_n_u_setdefault, key, default_value, NULL); #else - CYTHON_UNUSED_VAR(__Pyx__SetItemOnTypeDict); -#endif // !CYTHON_COMPILING_IN_PYPY - if (changed) - PyType_Modified(type); -#endif // PY_VERSION_HEX > 0x030900B1 - return 0; + value = PyDict_SetDefault(d, key, default_value); + if (unlikely(!value)) return NULL; + Py_INCREF(value); +#endif + return value; } /* AddModuleRef (used by FetchSharedCythonModule) */ @@ -112165,233 +311804,6 @@ static PyObject *__Pyx_CyFunction_New(PyMethodDef *ml, int flags, PyObject* qual return op; } -/* Py3UpdateBases */ -static PyObject* -__Pyx_PEP560_update_bases(PyObject *bases) -{ - Py_ssize_t i, j, size_bases; - PyObject *base = NULL, *meth, *new_base, *result, *new_bases = NULL; -#if CYTHON_ASSUME_SAFE_SIZE - size_bases = PyTuple_GET_SIZE(bases); -#else - size_bases = PyTuple_Size(bases); - if (size_bases < 0) return NULL; -#endif - for (i = 0; i < size_bases; i++) { -#if CYTHON_AVOID_BORROWED_REFS - Py_CLEAR(base); -#endif -#if CYTHON_ASSUME_SAFE_MACROS - base = PyTuple_GET_ITEM(bases, i); -#else - base = PyTuple_GetItem(bases, i); - if (!base) goto error; -#endif -#if CYTHON_AVOID_BORROWED_REFS - Py_INCREF(base); -#endif - if (PyType_Check(base)) { - if (new_bases) { - if (PyList_Append(new_bases, base) < 0) { - goto error; - } - } - continue; - } - meth = __Pyx_PyObject_GetAttrStrNoError(base, __pyx_mstate_global->__pyx_n_u_mro_entries); - if (!meth && PyErr_Occurred()) { - goto error; - } - if (!meth) { - if (new_bases) { - if (PyList_Append(new_bases, base) < 0) { - goto error; - } - } - continue; - } - new_base = __Pyx_PyObject_CallOneArg(meth, bases); - Py_DECREF(meth); - if (!new_base) { - goto error; - } - if (!PyTuple_Check(new_base)) { - PyErr_SetString(PyExc_TypeError, - "__mro_entries__ must return a tuple"); - Py_DECREF(new_base); - goto error; - } - if (!new_bases) { - if (!(new_bases = PyList_New(i))) { - goto error; - } - for (j = 0; j < i; j++) { - PyObject *base_from_list; -#if CYTHON_ASSUME_SAFE_MACROS - base_from_list = PyTuple_GET_ITEM(bases, j); - PyList_SET_ITEM(new_bases, j, base_from_list); - Py_INCREF(base_from_list); -#else - base_from_list = PyTuple_GetItem(bases, j); - if (!base_from_list) goto error; - Py_INCREF(base_from_list); - if (PyList_SetItem(new_bases, j, base_from_list) < 0) goto error; -#endif - } - } -#if CYTHON_ASSUME_SAFE_SIZE - j = PyList_GET_SIZE(new_bases); -#else - j = PyList_Size(new_bases); - if (j < 0) goto error; -#endif - if (PyList_SetSlice(new_bases, j, j, new_base) < 0) { - goto error; - } - Py_DECREF(new_base); - } - if (!new_bases) { - Py_INCREF(bases); - return bases; - } - result = PyList_AsTuple(new_bases); - Py_DECREF(new_bases); -#if CYTHON_AVOID_BORROWED_REFS - Py_XDECREF(base); -#endif - return result; -error: - Py_XDECREF(new_bases); -#if CYTHON_AVOID_BORROWED_REFS - Py_XDECREF(base); -#endif - return NULL; -} - -/* CalculateMetaclass */ -static PyObject *__Pyx_CalculateMetaclass(PyTypeObject *metaclass, PyObject *bases) { - Py_ssize_t i, nbases; -#if CYTHON_ASSUME_SAFE_SIZE - nbases = PyTuple_GET_SIZE(bases); -#else - nbases = PyTuple_Size(bases); - if (nbases < 0) return NULL; -#endif - for (i=0; i < nbases; i++) { - PyTypeObject *tmptype; -#if CYTHON_ASSUME_SAFE_MACROS - PyObject *tmp = PyTuple_GET_ITEM(bases, i); -#else - PyObject *tmp = PyTuple_GetItem(bases, i); - if (!tmp) return NULL; -#endif - tmptype = Py_TYPE(tmp); - if (!metaclass) { - metaclass = tmptype; - continue; - } - if (PyType_IsSubtype(metaclass, tmptype)) - continue; - if (PyType_IsSubtype(tmptype, metaclass)) { - metaclass = tmptype; - continue; - } - PyErr_SetString(PyExc_TypeError, - "metaclass conflict: " - "the metaclass of a derived class " - "must be a (non-strict) subclass " - "of the metaclasses of all its bases"); - return NULL; - } - if (!metaclass) { - metaclass = &PyType_Type; - } - Py_INCREF((PyObject*) metaclass); - return (PyObject*) metaclass; -} - -/* PyObjectCall2Args (used by Py3ClassCreate) */ -static CYTHON_INLINE PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) { - PyObject *args[3] = {NULL, arg1, arg2}; - return __Pyx_PyObject_FastCall(function, args+1, 2 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET); -} - -/* PyObjectLookupSpecial (used by Py3ClassCreate) */ -#if CYTHON_USE_PYTYPE_LOOKUP && CYTHON_USE_TYPE_SLOTS -static CYTHON_INLINE PyObject* __Pyx__PyObject_LookupSpecial(PyObject* obj, PyObject* attr_name, int with_error) { - PyObject *res; - PyTypeObject *tp = Py_TYPE(obj); - res = _PyType_Lookup(tp, attr_name); - if (likely(res)) { - descrgetfunc f = Py_TYPE(res)->tp_descr_get; - if (!f) { - Py_INCREF(res); - } else { - res = f(res, obj, (PyObject *)tp); - } - } else if (with_error) { - PyErr_SetObject(PyExc_AttributeError, attr_name); - } - return res; -} -#endif - -/* Py3ClassCreate */ -static PyObject *__Pyx_Py3MetaclassPrepare(PyObject *metaclass, PyObject *bases, PyObject *name, - PyObject *qualname, PyObject *mkw, PyObject *modname, PyObject *doc) { - PyObject *ns; - if (metaclass) { - PyObject *prep = __Pyx_PyObject_GetAttrStrNoError(metaclass, __pyx_mstate_global->__pyx_n_u_prepare); - if (prep) { - PyObject *pargs[3] = {NULL, name, bases}; - ns = __Pyx_PyObject_FastCallDict(prep, pargs+1, 2 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET, mkw); - Py_DECREF(prep); - } else { - if (unlikely(PyErr_Occurred())) - return NULL; - ns = PyDict_New(); - } - } else { - ns = PyDict_New(); - } - if (unlikely(!ns)) - return NULL; - if (unlikely(PyObject_SetItem(ns, __pyx_mstate_global->__pyx_n_u_module, modname) < 0)) goto bad; - if (unlikely(PyObject_SetItem(ns, __pyx_mstate_global->__pyx_n_u_qualname, qualname) < 0)) goto bad; - if (unlikely(doc && PyObject_SetItem(ns, __pyx_mstate_global->__pyx_n_u_doc, doc) < 0)) goto bad; - return ns; -bad: - Py_DECREF(ns); - return NULL; -} -static PyObject *__Pyx_Py3ClassCreate(PyObject *metaclass, PyObject *name, PyObject *bases, - PyObject *dict, PyObject *mkw, - int calculate_metaclass, int allow_py2_metaclass) { - PyObject *result; - PyObject *owned_metaclass = NULL; - PyObject *margs[4] = {NULL, name, bases, dict}; - if (allow_py2_metaclass) { - owned_metaclass = PyObject_GetItem(dict, __pyx_mstate_global->__pyx_n_u_metaclass); - if (owned_metaclass) { - metaclass = owned_metaclass; - } else if (likely(PyErr_ExceptionMatches(PyExc_KeyError))) { - PyErr_Clear(); - } else { - return NULL; - } - } - if (calculate_metaclass && (!metaclass || PyType_Check(metaclass))) { - metaclass = __Pyx_CalculateMetaclass((PyTypeObject*) metaclass, bases); - Py_XDECREF(owned_metaclass); - if (unlikely(!metaclass)) - return NULL; - owned_metaclass = metaclass; - } - result = __Pyx_PyObject_FastCallDict(metaclass, margs+1, 3 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET, mkw); - Py_XDECREF(owned_metaclass); - return result; -} - /* ImportFrom */ static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) { PyObject* value = __Pyx_PyObject_GetAttrStr(module, name); @@ -112490,6 +311902,29 @@ static CYTHON_INLINE int __Pyx_PyObject_Append(PyObject* L, PyObject* x) { return 0; } +/* GetNameInClass */ +static PyObject *__Pyx__GetNameInClass(PyObject *nmspace, PyObject *name) { + PyObject *result; + PyObject *dict; + assert(PyType_Check(nmspace)); +#if CYTHON_USE_TYPE_SLOTS + dict = ((PyTypeObject*)nmspace)->tp_dict; + Py_XINCREF(dict); +#else + dict = PyObject_GetAttr(nmspace, __pyx_mstate_global->__pyx_n_u_dict); +#endif + if (likely(dict)) { + result = PyObject_GetItem(dict, name); + Py_DECREF(dict); + if (result) { + return result; + } + } + PyErr_Clear(); + __Pyx_GetModuleGlobalNameUncached(result, name); + return result; +} + /* CLineInTraceback (used by AddTraceback) */ #if CYTHON_CLINE_IN_TRACEBACK && CYTHON_CLINE_IN_TRACEBACK_RUNTIME #if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030A0000 @@ -115570,6 +315005,325 @@ static CYTHON_INLINE PyObject* __Pyx_PyLong_From_TA_OutputFlags(TA_OutputFlags v } } +/* CIntToPy */ +static CYTHON_INLINE PyObject* __Pyx_PyLong_From_npy_intp(npy_intp value) { +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const npy_intp neg_one = (npy_intp) -1, const_zero = (npy_intp) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; + if (is_unsigned) { + if (sizeof(npy_intp) < sizeof(long)) { + return PyLong_FromLong((long) value); + } else if (sizeof(npy_intp) <= sizeof(unsigned long)) { + return PyLong_FromUnsignedLong((unsigned long) value); +#if !CYTHON_COMPILING_IN_PYPY + } else if (sizeof(npy_intp) <= sizeof(unsigned PY_LONG_LONG)) { + return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value); +#endif + } + } else { + if (sizeof(npy_intp) <= sizeof(long)) { + return PyLong_FromLong((long) value); + } else if (sizeof(npy_intp) <= sizeof(PY_LONG_LONG)) { + return PyLong_FromLongLong((PY_LONG_LONG) value); + } + } + { + unsigned char *bytes = (unsigned char *)&value; +#if !CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX >= 0x030d00A4 + if (is_unsigned) { + return PyLong_FromUnsignedNativeBytes(bytes, sizeof(value), -1); + } else { + return PyLong_FromNativeBytes(bytes, sizeof(value), -1); + } +#elif !CYTHON_COMPILING_IN_LIMITED_API && PY_VERSION_HEX < 0x030d0000 + int one = 1; int little = (int)*(unsigned char *)&one; + return _PyLong_FromByteArray(bytes, sizeof(npy_intp), + little, !is_unsigned); +#else + int one = 1; int little = (int)*(unsigned char *)&one; + PyObject *from_bytes, *result = NULL, *kwds = NULL; + PyObject *py_bytes = NULL, *order_str = NULL; + from_bytes = PyObject_GetAttrString((PyObject*)&PyLong_Type, "from_bytes"); + if (!from_bytes) return NULL; + py_bytes = PyBytes_FromStringAndSize((char*)bytes, sizeof(npy_intp)); + if (!py_bytes) goto limited_bad; + order_str = PyUnicode_FromString(little ? "little" : "big"); + if (!order_str) goto limited_bad; + { + PyObject *args[3+(CYTHON_VECTORCALL ? 1 : 0)] = { NULL, py_bytes, order_str }; + if (!is_unsigned) { + kwds = __Pyx_MakeVectorcallBuilderKwds(1); + if (!kwds) goto limited_bad; + if (__Pyx_VectorcallBuilder_AddArgStr("signed", __Pyx_NewRef(Py_True), kwds, args+3, 0) < 0) goto limited_bad; + } + result = __Pyx_Object_Vectorcall_CallFromBuilder(from_bytes, args+1, 2 | __Pyx_PY_VECTORCALL_ARGUMENTS_OFFSET, kwds); + } + limited_bad: + Py_XDECREF(kwds); + Py_XDECREF(order_str); + Py_XDECREF(py_bytes); + Py_XDECREF(from_bytes); + return result; +#endif + } +} + +/* CIntFromPy */ +static CYTHON_INLINE npy_intp __Pyx_PyLong_As_npy_intp(PyObject *x) { +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic push +#pragma GCC diagnostic ignored "-Wconversion" +#endif + const npy_intp neg_one = (npy_intp) -1, const_zero = (npy_intp) 0; +#ifdef __Pyx_HAS_GCC_DIAGNOSTIC +#pragma GCC diagnostic pop +#endif + const int is_unsigned = neg_one > const_zero; + if (unlikely(!PyLong_Check(x))) { + npy_intp val; + PyObject *tmp = __Pyx_PyNumber_Long(x); + if (!tmp) return (npy_intp) -1; + val = __Pyx_PyLong_As_npy_intp(tmp); + Py_DECREF(tmp); + return val; + } + if (is_unsigned) { +#if CYTHON_USE_PYLONG_INTERNALS + if (unlikely(__Pyx_PyLong_IsNeg(x))) { + goto raise_neg_overflow; + } else if (__Pyx_PyLong_IsCompact(x)) { + __PYX_VERIFY_RETURN_INT(npy_intp, __Pyx_compact_upylong, __Pyx_PyLong_CompactValueUnsigned(x)) + } else { + const digit* digits = __Pyx_PyLong_Digits(x); + assert(__Pyx_PyLong_DigitCount(x) > 1); + switch (__Pyx_PyLong_DigitCount(x)) { + case 2: + if ((8 * sizeof(npy_intp) > 1 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(npy_intp, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(npy_intp) >= 2 * PyLong_SHIFT)) { + return (npy_intp) (((((npy_intp)digits[1]) << PyLong_SHIFT) | (npy_intp)digits[0])); + } + } + break; + case 3: + if ((8 * sizeof(npy_intp) > 2 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(npy_intp, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(npy_intp) >= 3 * PyLong_SHIFT)) { + return (npy_intp) (((((((npy_intp)digits[2]) << PyLong_SHIFT) | (npy_intp)digits[1]) << PyLong_SHIFT) | (npy_intp)digits[0])); + } + } + break; + case 4: + if ((8 * sizeof(npy_intp) > 3 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(npy_intp, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(npy_intp) >= 4 * PyLong_SHIFT)) { + return (npy_intp) (((((((((npy_intp)digits[3]) << PyLong_SHIFT) | (npy_intp)digits[2]) << PyLong_SHIFT) | (npy_intp)digits[1]) << PyLong_SHIFT) | (npy_intp)digits[0])); + } + } + break; + } + } +#endif +#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030C00A7 + if (unlikely(Py_SIZE(x) < 0)) { + goto raise_neg_overflow; + } +#else + { + int result = PyObject_RichCompareBool(x, Py_False, Py_LT); + if (unlikely(result < 0)) + return (npy_intp) -1; + if (unlikely(result == 1)) + goto raise_neg_overflow; + } +#endif + if ((sizeof(npy_intp) <= sizeof(unsigned long))) { + __PYX_VERIFY_RETURN_INT_EXC(npy_intp, unsigned long, PyLong_AsUnsignedLong(x)) + } else if ((sizeof(npy_intp) <= sizeof(unsigned PY_LONG_LONG))) { + __PYX_VERIFY_RETURN_INT_EXC(npy_intp, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x)) + } + } else { +#if CYTHON_USE_PYLONG_INTERNALS + if (__Pyx_PyLong_IsCompact(x)) { + __PYX_VERIFY_RETURN_INT(npy_intp, __Pyx_compact_pylong, __Pyx_PyLong_CompactValue(x)) + } else { + const digit* digits = __Pyx_PyLong_Digits(x); + assert(__Pyx_PyLong_DigitCount(x) > 1); + switch (__Pyx_PyLong_SignedDigitCount(x)) { + case -2: + if ((8 * sizeof(npy_intp) - 1 > 1 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(npy_intp, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(npy_intp) - 1 > 2 * PyLong_SHIFT)) { + return (npy_intp) (((npy_intp)-1)*(((((npy_intp)digits[1]) << PyLong_SHIFT) | (npy_intp)digits[0]))); + } + } + break; + case 2: + if ((8 * sizeof(npy_intp) > 1 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 2 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(npy_intp, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(npy_intp) - 1 > 2 * PyLong_SHIFT)) { + return (npy_intp) ((((((npy_intp)digits[1]) << PyLong_SHIFT) | (npy_intp)digits[0]))); + } + } + break; + case -3: + if ((8 * sizeof(npy_intp) - 1 > 2 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(npy_intp, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(npy_intp) - 1 > 3 * PyLong_SHIFT)) { + return (npy_intp) (((npy_intp)-1)*(((((((npy_intp)digits[2]) << PyLong_SHIFT) | (npy_intp)digits[1]) << PyLong_SHIFT) | (npy_intp)digits[0]))); + } + } + break; + case 3: + if ((8 * sizeof(npy_intp) > 2 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 3 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(npy_intp, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(npy_intp) - 1 > 3 * PyLong_SHIFT)) { + return (npy_intp) ((((((((npy_intp)digits[2]) << PyLong_SHIFT) | (npy_intp)digits[1]) << PyLong_SHIFT) | (npy_intp)digits[0]))); + } + } + break; + case -4: + if ((8 * sizeof(npy_intp) - 1 > 3 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(npy_intp, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(npy_intp) - 1 > 4 * PyLong_SHIFT)) { + return (npy_intp) (((npy_intp)-1)*(((((((((npy_intp)digits[3]) << PyLong_SHIFT) | (npy_intp)digits[2]) << PyLong_SHIFT) | (npy_intp)digits[1]) << PyLong_SHIFT) | (npy_intp)digits[0]))); + } + } + break; + case 4: + if ((8 * sizeof(npy_intp) > 3 * PyLong_SHIFT)) { + if ((8 * sizeof(unsigned long) > 4 * PyLong_SHIFT)) { + __PYX_VERIFY_RETURN_INT(npy_intp, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]))) + } else if ((8 * sizeof(npy_intp) - 1 > 4 * PyLong_SHIFT)) { + return (npy_intp) ((((((((((npy_intp)digits[3]) << PyLong_SHIFT) | (npy_intp)digits[2]) << PyLong_SHIFT) | (npy_intp)digits[1]) << PyLong_SHIFT) | (npy_intp)digits[0]))); + } + } + break; + } + } +#endif + if ((sizeof(npy_intp) <= sizeof(long))) { + __PYX_VERIFY_RETURN_INT_EXC(npy_intp, long, PyLong_AsLong(x)) + } else if ((sizeof(npy_intp) <= sizeof(PY_LONG_LONG))) { + __PYX_VERIFY_RETURN_INT_EXC(npy_intp, PY_LONG_LONG, PyLong_AsLongLong(x)) + } + } + { + npy_intp val; + int ret = -1; +#if PY_VERSION_HEX >= 0x030d00A6 && !CYTHON_COMPILING_IN_LIMITED_API + Py_ssize_t bytes_copied = PyLong_AsNativeBytes( + x, &val, sizeof(val), Py_ASNATIVEBYTES_NATIVE_ENDIAN | (is_unsigned ? Py_ASNATIVEBYTES_UNSIGNED_BUFFER | Py_ASNATIVEBYTES_REJECT_NEGATIVE : 0)); + if (unlikely(bytes_copied == -1)) { + } else if (unlikely(bytes_copied > (Py_ssize_t) sizeof(val))) { + goto raise_overflow; + } else { + ret = 0; + } +#elif PY_VERSION_HEX < 0x030d0000 && !(CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_LIMITED_API) || defined(_PyLong_AsByteArray) + int one = 1; int is_little = (int)*(unsigned char *)&one; + unsigned char *bytes = (unsigned char *)&val; + ret = _PyLong_AsByteArray((PyLongObject *)x, + bytes, sizeof(val), + is_little, !is_unsigned); +#else + PyObject *v; + PyObject *stepval = NULL, *mask = NULL, *shift = NULL; + int bits, remaining_bits, is_negative = 0; + int chunk_size = (sizeof(long) < 8) ? 30 : 62; + if (likely(PyLong_CheckExact(x))) { + v = __Pyx_NewRef(x); + } else { + v = PyNumber_Long(x); + if (unlikely(!v)) return (npy_intp) -1; + assert(PyLong_CheckExact(v)); + } + { + int result = PyObject_RichCompareBool(v, Py_False, Py_LT); + if (unlikely(result < 0)) { + Py_DECREF(v); + return (npy_intp) -1; + } + is_negative = result == 1; + } + if (is_unsigned && unlikely(is_negative)) { + Py_DECREF(v); + goto raise_neg_overflow; + } else if (is_negative) { + stepval = PyNumber_Invert(v); + Py_DECREF(v); + if (unlikely(!stepval)) + return (npy_intp) -1; + } else { + stepval = v; + } + v = NULL; + val = (npy_intp) 0; + mask = PyLong_FromLong((1L << chunk_size) - 1); if (unlikely(!mask)) goto done; + shift = PyLong_FromLong(chunk_size); if (unlikely(!shift)) goto done; + for (bits = 0; bits < (int) sizeof(npy_intp) * 8 - chunk_size; bits += chunk_size) { + PyObject *tmp, *digit; + long idigit; + digit = PyNumber_And(stepval, mask); + if (unlikely(!digit)) goto done; + idigit = PyLong_AsLong(digit); + Py_DECREF(digit); + if (unlikely(idigit < 0)) goto done; + val |= ((npy_intp) idigit) << bits; + tmp = PyNumber_Rshift(stepval, shift); + if (unlikely(!tmp)) goto done; + Py_DECREF(stepval); stepval = tmp; + } + Py_DECREF(shift); shift = NULL; + Py_DECREF(mask); mask = NULL; + { + long idigit = PyLong_AsLong(stepval); + if (unlikely(idigit < 0)) goto done; + remaining_bits = ((int) sizeof(npy_intp) * 8) - bits - (is_unsigned ? 0 : 1); + if (unlikely(idigit >= (1L << remaining_bits))) + goto raise_overflow; + val |= ((npy_intp) idigit) << bits; + } + if (!is_unsigned) { + if (unlikely(val & (((npy_intp) 1) << (sizeof(npy_intp) * 8 - 1)))) + goto raise_overflow; + if (is_negative) + val = ~val; + } + ret = 0; + done: + Py_XDECREF(shift); + Py_XDECREF(mask); + Py_XDECREF(stepval); +#endif + if (unlikely(ret)) + return (npy_intp) -1; + return val; + } +raise_overflow: + PyErr_SetString(PyExc_OverflowError, + "value too large to convert to npy_intp"); + return (npy_intp) -1; +raise_neg_overflow: + PyErr_SetString(PyExc_OverflowError, + "can't convert negative value to npy_intp"); + return (npy_intp) -1; +} + /* FormatTypeName */ #if CYTHON_COMPILING_IN_LIMITED_API && __PYX_LIMITED_VERSION_HEX < 0x030d0000 static __Pyx_TypeName diff --git a/talib/_ta_lib.pyi b/talib/_ta_lib.pyi index 55b6155bd..4a308712d 100644 --- a/talib/_ta_lib.pyi +++ b/talib/_ta_lib.pyi @@ -1255,1240 +1255,3 @@ def IMI( close: NDArray[np.float64], timeperiod: int= 14 )-> NDArray[np.float64]: ... - -#Overlap Studies Functions - -def stream_BBANDS( - real: NDArray[np.float64], - timeperiod: int= 20, - nbdevup: float= 2, - nbdevdn: float= 2, - matype: MA_Type = MA_Type.SMA - )-> Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]: ... - -def stream_DEMA( - real: NDArray[np.float64], - timeperiod: int= 30 - )-> NDArray[np.float64]: ... - -def stream_DONCHIAN( - high: NDArray[np.float64], - low: NDArray[np.float64], - timeperiod: int= 20 - )-> Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]: ... - -def stream_EMA( - real: NDArray[np.float64], - timeperiod: int= 30 - )-> NDArray[np.float64]: ... - -def stream_HMA( - real: NDArray[np.float64], - timeperiod: int= 20 - )-> NDArray[np.float64]: ... - -def stream_HT_TRENDLINE(real: NDArray[np.float64])-> NDArray[np.float64]: ... - -def stream_KAMA( - real: NDArray[np.float64], - timeperiod: int= 30 - )-> NDArray[np.float64]: ... - -def stream_KC( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - timeperiod: int= 20, - atrperiod: int= 10, - nbdev: float= 2.0 - )-> Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]: ... - -def stream_MA( - real: NDArray[np.float64], - timeperiod: int= 30, - matype: MA_Type = MA_Type.SMA - )-> NDArray[np.float64]: ... - -def stream_MAMA( - real: NDArray[np.float64], - fastlimit: float= 0, - slowlimit: float= 0 - )-> Tuple[NDArray[np.float64], NDArray[np.float64]]: ... - -def stream_MAVP( - real: NDArray[np.float64], - periods: float, - minperiod: int= 2, - maxperiod: int= 30, - matype: MA_Type = MA_Type.SMA - )-> NDArray[np.float64]: ... - -def stream_MIDPOINT( - real: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_MIDPRICE( - high: NDArray[np.float64], - low: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_RMA( - real: NDArray[np.float64], - timeperiod: int= 30 - )-> NDArray[np.float64]: ... - -def stream_SAR( - high: NDArray[np.float64], - low: NDArray[np.float64], - acceleration: float= 0, - maximum: float= 0 - )-> NDArray[np.float64]: ... - -def stream_SAREXT( - high: NDArray[np.float64], - low: NDArray[np.float64], - startvalue: float= 0, - offsetonreverse: float= 0, - accelerationinitlong: float= 0, - accelerationlong: float= 0, - accelerationmaxlong: float= 0, - accelerationinitshort: float= 0, - accelerationshort: float= 0, - accelerationmaxshort: float= 0 - )-> NDArray[np.float64]: ... - -def stream_SMA( - real: NDArray[np.float64], - timeperiod: int= 30 - )-> NDArray[np.float64]: ... - -def stream_SUPERTREND( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - timeperiod: int= 10, - multiplier: float= 3.0 - )-> Tuple[NDArray[np.float64], NDArray[np.int32]]: ... - -def stream_T3( - real: NDArray[np.float64], - timeperiod: int= 5, - vfactor: float= 0 - )-> NDArray[np.float64]: ... - -def stream_TEMA( - real: NDArray[np.float64], - timeperiod: int= 30 - )-> NDArray[np.float64]: ... - -def stream_TRIMA( - real: NDArray[np.float64], - timeperiod: int= 30 - )-> NDArray[np.float64]: ... - -def stream_VWMA( - real: NDArray[np.float64], - volume: NDArray[np.float64], - timeperiod: int= 30 - )-> NDArray[np.float64]: ... - -def stream_WMA( - real: NDArray[np.float64], - timeperiod: int= 30 - )-> NDArray[np.float64]: ... - -def stream_ZLEMA( - real: NDArray[np.float64], - timeperiod: int= 30 - )-> NDArray[np.float64]: ... - -#Momentum Indicator Functions - -def stream_AC( - high: NDArray[np.float64], - low: NDArray[np.float64], - fastperiod: int= 5, - slowperiod: int= 34, - signalperiod: int= 5 - )-> NDArray[np.float64]: ... - -def stream_ADX( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_ADXR( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_AO( - high: NDArray[np.float64], - low: NDArray[np.float64], - fastperiod: int= 5, - slowperiod: int= 34 - )-> NDArray[np.float64]: ... - -def stream_APO( - real: NDArray[np.float64], - fastperiod: int= 12, - slowperiod: int= 26, - matype: MA_Type = MA_Type.EMA - )-> NDArray[np.float64]: ... - -def stream_AROON( - high: NDArray[np.float64], - low: NDArray[np.float64], - timeperiod: int= 14 - )-> Tuple[NDArray[np.float64], NDArray[np.float64]]: ... - -def stream_AROONOSC( - high: NDArray[np.float64], - low: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_BOP( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.float64]: ... - -def stream_CCI( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_CMO( - real: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_CMOU( - real: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_COPPOCK( - real: NDArray[np.float64], - wmaperiod: int= 10, - roc1period: int= 11, - roc2period: int= 14 - )-> NDArray[np.float64]: ... - -def stream_DPO( - real: NDArray[np.float64], - timeperiod: int= 20 - )-> NDArray[np.float64]: ... - -def stream_DX( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_ER( - real: NDArray[np.float64], - timeperiod: int= 10 - )-> NDArray[np.float64]: ... - -def stream_ERI( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - timeperiod: int= 13 - )-> Tuple[NDArray[np.float64], NDArray[np.float64]]: ... - -def stream_FOSC( - real: NDArray[np.float64], - timeperiod: int= 5 - )-> NDArray[np.float64]: ... - -def stream_FRACTAL( - high: NDArray[np.float64], - low: NDArray[np.float64], - leftbars: int= 2, - rightbars: int= 2 - )-> Tuple[NDArray[np.int32], NDArray[np.int32]]: ... - -def stream_KDJ( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - fastk_period: int= 9, - slowk_period: int= 3, - slowk_matype: MA_Type = MA_Type.RMA, - slowd_period: int= 3, - slowd_matype: MA_Type = MA_Type.RMA - )-> Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]: ... - -def stream_MACD( - real: NDArray[np.float64], - fastperiod: int= 12, - slowperiod: int= 26, - signalperiod: int= 9 - )-> Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]: ... - -def stream_MACDEXT( - real: NDArray[np.float64], - fastperiod: int= 12, - fastmatype: MA_Type = MA_Type.SMA, - slowperiod: int= 26, - slowmatype: MA_Type = MA_Type.SMA, - signalperiod: int= 9, - signalmatype: MA_Type = MA_Type.SMA - )-> Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]: ... - -def stream_MACDFIX( - real: NDArray[np.float64], - signalperiod: int= 9 - )-> Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]: ... - -def stream_MFI( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - volume: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_MINUS_DI( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_MINUS_DM( - high: NDArray[np.float64], - low: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_MOM( - real: NDArray[np.float64], - timeperiod: int= 10 - )-> NDArray[np.float64]: ... - -def stream_PLUS_DI( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_PLUS_DM( - high: NDArray[np.float64], - low: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_PPO( - real: NDArray[np.float64], - fastperiod: int= 12, - slowperiod: int= 26, - matype: MA_Type = MA_Type.EMA - )-> NDArray[np.float64]: ... - -def stream_QSTICK( - open: NDArray[np.float64], - close: NDArray[np.float64], - timeperiod: int= 10 - )-> NDArray[np.float64]: ... - -def stream_ROC( - real: NDArray[np.float64], - timeperiod: int= 10 - )-> NDArray[np.float64]: ... - -def stream_ROCP( - real: NDArray[np.float64], - timeperiod: int= 10 - )-> NDArray[np.float64]: ... - -def stream_ROCR( - real: NDArray[np.float64], - timeperiod: int= 10 - )-> NDArray[np.float64]: ... - -def stream_ROCR100( - real: NDArray[np.float64], - timeperiod: int= 10 - )-> NDArray[np.float64]: ... - -def stream_RSI( - real: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_SMI( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - timeperiod: int= 13, - fastperiod: int= 2, - slowperiod: int= 25, - signalperiod: int= 9 - )-> Tuple[NDArray[np.float64], NDArray[np.float64]]: ... - -def stream_STOCH( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - fastk_period: int= 5, - slowk_period: int= 3, - slowk_matype: MA_Type = MA_Type.SMA, - slowd_period: int= 3, - slowd_matype: MA_Type = MA_Type.SMA - )-> Tuple[NDArray[np.float64], NDArray[np.float64]]: ... - -def stream_STOCHF( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - fastk_period: int= 5, - fastd_period: int= 3, - fastd_matype: MA_Type = MA_Type.SMA - )-> Tuple[NDArray[np.float64], NDArray[np.float64]]: ... - -def stream_STOCHRSI( - real: NDArray[np.float64], - timeperiod: int= 14, - fastk_period: int= 5, - fastd_period: int= 3, - fastd_matype: MA_Type = MA_Type.SMA - )-> Tuple[NDArray[np.float64], NDArray[np.float64]]: ... - -def stream_TRIX( - real: NDArray[np.float64], - timeperiod: int= 30 - )-> NDArray[np.float64]: ... - -def stream_TSI( - real: NDArray[np.float64], - firstperiod: int= 25, - secondperiod: int= 13 - )-> NDArray[np.float64]: ... - -def stream_ULTOSC( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - timeperiod1: int= 7, - timeperiod2: int= 14, - timeperiod3: int= 28 - )-> NDArray[np.float64]: ... - -def stream_VHF( - real: NDArray[np.float64], - timeperiod: int= 28 - )-> NDArray[np.float64]: ... - -def stream_VORTEX( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - timeperiod: int= 14 - )-> Tuple[NDArray[np.float64], NDArray[np.float64]]: ... - -def stream_WAD( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.float64]: ... - -def stream_WILLR( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -#Volume Indicator Functions - -def stream_AD( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - volume: NDArray[np.float64] - )-> NDArray[np.float64]: ... - -def stream_ADOSC( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - volume: NDArray[np.float64], - fastperiod: int= 3, - slowperiod: int= 10 - )-> NDArray[np.float64]: ... - -def stream_CMF( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - volume: NDArray[np.float64], - timeperiod: int= 20 - )-> NDArray[np.float64]: ... - -def stream_EFI( - close: NDArray[np.float64], - volume: NDArray[np.float64], - timeperiod: int= 13 - )-> NDArray[np.float64]: ... - -def stream_MARKETFI( - high: NDArray[np.float64], - low: NDArray[np.float64], - volume: NDArray[np.float64] - )-> NDArray[np.float64]: ... - -def stream_NVI( - close: NDArray[np.float64], - volume: NDArray[np.float64] - )-> NDArray[np.float64]: ... - -def stream_OBV( - close: NDArray[np.float64], - volume: NDArray[np.float64] - )-> NDArray[np.float64]: ... - -def stream_PVI( - close: NDArray[np.float64], - volume: NDArray[np.float64] - )-> NDArray[np.float64]: ... - -def stream_PVO( - volume: NDArray[np.float64], - fastperiod: int= 12, - slowperiod: int= 26, - matype: int= 1 - )-> NDArray[np.float64]: ... - -def stream_PVT( - close: NDArray[np.float64], - volume: NDArray[np.float64] - )-> NDArray[np.float64]: ... - -def stream_RVOL( - volume: NDArray[np.float64], - timeperiod: int= 20 - )-> NDArray[np.float64]: ... - -def stream_VWAP( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - volume: NDArray[np.float64] - )-> NDArray[np.float64]: ... - -#Volatility Indicator Functions - -def stream_ADR( - high: NDArray[np.float64], - low: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_ATR( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_CVI( - high: NDArray[np.float64], - low: NDArray[np.float64], - timeperiod: int= 10, - rocperiod: int= 10 - )-> NDArray[np.float64]: ... - -def stream_MASSI( - high: NDArray[np.float64], - low: NDArray[np.float64], - fastperiod: int= 9, - slowperiod: int= 25 - )-> NDArray[np.float64]: ... - -def stream_NATR( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_RVI( - real: NDArray[np.float64], - timeperiod: int= 14, - stddevperiod: int= 10 - )-> NDArray[np.float64]: ... - -def stream_TRANGE( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.float64]: ... - -# Price Transform Functions - -def stream_AVGPRICE( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.float64]: ... - -def stream_HA( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]: ... - -def stream_MEDPRICE( - high: NDArray[np.float64], - low: NDArray[np.float64] - )-> NDArray[np.float64]: ... - -def stream_TYPPRICE( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.float64]: ... - -def stream_WCLPRICE( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.float64]: ... - -# Cycle Indicator Functions - -def stream_HT_DCPERIOD(real: NDArray[np.float64])-> NDArray[np.float64]: ... - -def stream_HT_DCPHASE(real: NDArray[np.float64])-> NDArray[np.float64]: ... - -def stream_HT_PHASOR(real: NDArray[np.float64])-> Tuple[NDArray[np.float64], NDArray[np.float64]]: ... - -def stream_HT_SINE(real: NDArray[np.float64])-> Tuple[NDArray[np.float64], NDArray[np.float64]]: ... - -def stream_HT_TRENDMODE(real: NDArray[np.float64])-> Tuple[NDArray[np.float64], NDArray[np.int32]]: ... - -#Pattern Recognition Functions - -def stream_CDL2CROWS( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDL3BLACKCROWS( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDL3INSIDE( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDL3LINESTRIKE( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDL3OUTSIDE( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDL3STARSINSOUTH( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDL3WHITESOLDIERS( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLABANDONEDBABY( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - penetration: float= 0 - )-> NDArray[np.int32]: ... - -def stream_CDLADVANCEBLOCK( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLBELTHOLD( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLBREAKAWAY( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLCLOSINGMARUBOZU( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLCONCEALBABYSWALL( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLCOUNTERATTACK( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLDARKCLOUDCOVER( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - penetration: float= 0 - )-> NDArray[np.int32]: ... - -def stream_CDLDOJI( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLDOJISTAR( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLDRAGONFLYDOJI( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLENGULFING( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLEVENINGDOJISTAR( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - penetration: float= 0 - )-> NDArray[np.int32]: ... - -def stream_CDLEVENINGSTAR( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - penetration: float= 0 - )-> NDArray[np.int32]: ... - -def stream_CDLGAPSIDESIDEWHITE( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLGRAVESTONEDOJI( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLHAMMER( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLHANGINGMAN( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLHARAMI( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLHARAMICROSS( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLHIGHWAVE( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLHIKKAKE( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLHIKKAKEMOD( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLHOMINGPIGEON( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLIDENTICAL3CROWS( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLINNECK( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLINVERTEDHAMMER( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLKICKING( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLKICKINGBYLENGTH( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLLADDERBOTTOM( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLLONGLEGGEDDOJI( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLLONGLINE( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLMARUBOZU( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLMATCHINGLOW( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLMATHOLD( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - penetration: float= 0 - )-> NDArray[np.int32]: ... - -def stream_CDLMORNINGDOJISTAR( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - penetration: float= 0 - )-> NDArray[np.int32]: ... - -def stream_CDLMORNINGSTAR( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - penetration: float= 0 - )-> NDArray[np.int32]: ... - -def stream_CDLONNECK( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLPIERCING( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLRICKSHAWMAN( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLRISEFALL3METHODS( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLSEPARATINGLINES( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLSHOOTINGSTAR( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLSHORTLINE( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLSPINNINGTOP( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLSTALLEDPATTERN( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLSTICKSANDWICH( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLTAKURI( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLTASUKIGAP( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLTHRUSTING( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLTRISTAR( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLUNIQUE3RIVER( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLUPSIDEGAP2CROWS( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -def stream_CDLXSIDEGAP3METHODS( - open: NDArray[np.float64], - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64] - )-> NDArray[np.int32]: ... - -# Statistic Functions - -def stream_BETA( - real0: NDArray[np.float64], - real1: NDArray[np.float64], - timeperiod: int= 5 - )-> NDArray[np.float64]: ... - -def stream_CORREL( - real0: NDArray[np.float64], - real1: NDArray[np.float64], - timeperiod: int= 30 - )-> NDArray[np.float64]: ... - -def stream_LINEARREG( - real: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_LINEARREG_ANGLE( - real: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_LINEARREG_INTERCEPT( - real: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_LINEARREG_SLOPE( - real: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_PERCENTILE( - real: NDArray[np.float64], - timeperiod: int= 30, - percentile: float= 50.0 - )-> NDArray[np.float64]: ... - -def stream_PERCENTRANK( - real: NDArray[np.float64], - timeperiod: int= 100 - )-> NDArray[np.float64]: ... - -def stream_STDDEV( - real: NDArray[np.float64], - timeperiod: int= 5, - nbdev: float= 1 - )-> NDArray[np.float64]: ... - -def stream_TSF( - real: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_VAR( - real: NDArray[np.float64], - timeperiod: int= 5, - nbdev: float= 1 - )-> NDArray[np.float64]: ... - -# Math Transform Functions - -def stream_ACOS(real: NDArray[np.float64])-> NDArray[np.float64]: ... - -def stream_ASIN(real: NDArray[np.float64])-> NDArray[np.float64]: ... - -def stream_ATAN(real: NDArray[np.float64])-> NDArray[np.float64]: ... - -def stream_CEIL(real: NDArray[np.float64])-> NDArray[np.float64]: ... - -def stream_COS(real: NDArray[np.float64])-> NDArray[np.float64]: ... - -def stream_COSH(real: NDArray[np.float64])-> NDArray[np.float64]: ... - -def stream_EXP(real: NDArray[np.float64])-> NDArray[np.float64]: ... - -def stream_FLOOR(real: NDArray[np.float64])-> NDArray[np.float64]: ... - -def stream_LN(real: NDArray[np.float64])-> NDArray[np.float64]: ... - -def stream_LOG10(real: NDArray[np.float64])-> NDArray[np.float64]: ... - -def stream_SIN(real: NDArray[np.float64])-> NDArray[np.float64]: ... - -def stream_SINH(real: NDArray[np.float64])-> NDArray[np.float64]: ... - -def stream_SQRT(real: NDArray[np.float64])-> NDArray[np.float64]: ... - -def stream_TAN(real: NDArray[np.float64])-> NDArray[np.float64]: ... - -def stream_TANH(real: NDArray[np.float64])-> NDArray[np.float64]: ... - -#Math Operator Functions - -def stream_ADD( - real0: NDArray[np.float64], - real1: NDArray[np.float64] - )-> NDArray[np.float64]: ... - -def stream_CUMSUM( - real: NDArray[np.float64] - )-> NDArray[np.float64]: ... - -def stream_DIV( - real0: NDArray[np.float64], - real1: NDArray[np.float64] - )-> NDArray[np.float64]: ... - -def stream_MAX( - real: NDArray[np.float64], - timeperiod: int= 30 - )-> NDArray[np.float64]: ... - -def stream_MAXINDEX( - real: NDArray[np.float64], - timeperiod: int= 30 - )-> NDArray[np.int32]: ... - -def stream_MIN( - real: NDArray[np.float64], - timeperiod: int= 30 - )-> NDArray[np.float64]: ... - -def stream_MININDEX( - real: NDArray[np.float64], - timeperiod: int= 30 - )-> NDArray[np.int32]: ... - -def stream_MINMAX( - real: NDArray[np.float64], - timeperiod: int= 30 - )-> Tuple[NDArray[np.float64], NDArray[np.float64]]: ... - -def stream_MINMAXINDEX( - real: NDArray[np.float64], - timeperiod: int= 30 - )-> Tuple[NDArray[np.float64], NDArray[np.float64]]: ... - -def stream_MULT( - real0: NDArray[np.float64], - real1: NDArray[np.float64] - )-> NDArray[np.float64]: ... - -def stream_SUB( - real0: NDArray[np.float64], - real1: NDArray[np.float64] - )-> NDArray[np.float64]: ... - -def stream_SUM( - real: NDArray[np.float64], - timeperiod: int= 30 - )-> NDArray[np.float64]: ... - -def stream_ACCBANDS( - high: NDArray[np.float64], - low: NDArray[np.float64], - close: NDArray[np.float64], - timeperiod: int= 20 - )-> NDArray[np.float64]: ... - -def stream_AVGDEV( - real: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... - -def stream_IMI( - open: NDArray[np.float64], - close: NDArray[np.float64], - timeperiod: int= 14 - )-> NDArray[np.float64]: ... diff --git a/talib/_ta_lib.pyx b/talib/_ta_lib.pyx index 2b8aec2b6..c6b71c63d 100644 --- a/talib/_ta_lib.pyx +++ b/talib/_ta_lib.pyx @@ -5,4 +5,4 @@ include "_func.pxi" include "_abstract.pxi" include "_stream.pxi" -__all__ = __TA_FUNCTION_NAMES__ + ["stream_%s" % name for name in __TA_FUNCTION_NAMES__] +__all__ = __TA_FUNCTION_NAMES__ diff --git a/talib/stream.py b/talib/stream.py index ee2cc85e9..0030729cf 100644 --- a/talib/stream.py +++ b/talib/stream.py @@ -1,6 +1,65 @@ +"""Streaming API: one handle per indicator, O(1) per closed bar. + +A handle is opened on history, then carried forward one bar at a time. Every +value it produces is bit-identical to what the Function API reports for the +same bar. + + from talib import stream + + s = stream.RSI(history, timeperiod=14) # same arguments as talib.RSI + s.value # value at the last history bar + + for bar in feed: + emit(s.update(bar)) # one closed bar in, its value out + + s.peek(forming) # what update would return; commits + # nothing, so call it as often as + # the forming bar is revised + fork = s.copy() # independent handle at the same bar + s.advance() # count a bar you did not feed + s.out_range # (begidx, nbelement), as batch reports + +Opening needs at least ``lookback + 1`` bars, which ``abstract`` knows -- and a +little more where a function's seeding does, so treat a short history as "not +yet" rather than computing the number: + + while handle is None: + history.append(next(feed)) + try: + handle = stream.RSI(history, timeperiod=14) + except talib.InsufficientHistory: + pass + +Leading bars that are NaN in any input are not history: they are skipped, as the +Function API skips them, and do not count toward the warm-up. A NaN or an +infinity anywhere else in the history is undefined behaviour in TA-Lib C, and +for a few window functions a handle and the Function API do then disagree. + +A bar that is not finite is likewise rejected: ``update`` raises and the handle +is left exactly as it was, neither its value nor its range moved. For a bar you +mean to skip rather than re-feed, say so with ``advance()``, or two handles on +one feed drift a bar apart. + +``open_and_fill`` is the alternate constructor for when you want the batch +series over the history as well -- one pass gives both: + + s, rsi = stream.RSI.open_and_fill(history, timeperiod=14) + +A multi-output function answers with a named tuple whose fields are the output +names in the function's docstring; a single-output one with a bare float (or +int). Handles cannot be pickled. +""" import talib._ta_lib as _ta_lib -from ._ta_lib import __TA_FUNCTION_NAMES__ +from talib._ta_lib import OutRange, Stream, __TA_FUNCTION_NAMES__ +__all__ = ['Stream', 'OutRange'] for func_name in __TA_FUNCTION_NAMES__: - globals()[func_name] = getattr(_ta_lib, "stream_%s" % func_name) + globals()[func_name] = getattr(_ta_lib, '%s_Stream' % func_name) + __all__.append(func_name) + # the named tuple a multi-output handle answers with + value_name = '%s_Value' % func_name + value_type = getattr(_ta_lib, value_name, None) + if value_type is not None: + globals()[value_name] = value_type + __all__.append(value_name) diff --git a/talib/stream.pyi b/talib/stream.pyi new file mode 100644 index 000000000..f87ec8729 --- /dev/null +++ b/talib/stream.pyi @@ -0,0 +1,2128 @@ +from typing import NamedTuple, Tuple + +import numpy as np +from numpy.typing import NDArray + + +class OutRange(NamedTuple): + begidx: int + nbelement: int + + +class Stream: + @property + def out_range(self) -> OutRange: ... + def advance(self) -> None: ... + + +class AC(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], fastperiod: int = 5, slowperiod: int = 34, signalperiod: int = 5) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], fastperiod: int = 5, slowperiod: int = 34, signalperiod: int = 5) -> Tuple["AC", NDArray[np.float64]]: ... + def update(self, high: float, low: float) -> float: ... + def peek(self, high: float, low: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "AC": ... + +class ACCBANDS_Value(NamedTuple): + upperband: float + middleband: float + lowerband: float + +class ACCBANDS(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 20) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 20) -> Tuple["ACCBANDS", Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]]: ... + def update(self, high: float, low: float, close: float) -> ACCBANDS_Value: ... + def peek(self, high: float, low: float, close: float) -> ACCBANDS_Value: ... + @property + def value(self) -> ACCBANDS_Value: ... + def copy(self) -> "ACCBANDS": ... + +class ACOS(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["ACOS", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "ACOS": ... + +class AD(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], volume: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], volume: NDArray[np.float64]) -> Tuple["AD", NDArray[np.float64]]: ... + def update(self, high: float, low: float, close: float, volume: float) -> float: ... + def peek(self, high: float, low: float, close: float, volume: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "AD": ... + +class ADD(Stream): + def __init__(self, real0: NDArray[np.float64], real1: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real0: NDArray[np.float64], real1: NDArray[np.float64]) -> Tuple["ADD", NDArray[np.float64]]: ... + def update(self, real0: float, real1: float) -> float: ... + def peek(self, real0: float, real1: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "ADD": ... + +class ADOSC(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], volume: NDArray[np.float64], fastperiod: int = 3, slowperiod: int = 10) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], volume: NDArray[np.float64], fastperiod: int = 3, slowperiod: int = 10) -> Tuple["ADOSC", NDArray[np.float64]]: ... + def update(self, high: float, low: float, close: float, volume: float) -> float: ... + def peek(self, high: float, low: float, close: float, volume: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "ADOSC": ... + +class ADR(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], timeperiod: int = 14) -> Tuple["ADR", NDArray[np.float64]]: ... + def update(self, high: float, low: float) -> float: ... + def peek(self, high: float, low: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "ADR": ... + +class ADX(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> Tuple["ADX", NDArray[np.float64]]: ... + def update(self, high: float, low: float, close: float) -> float: ... + def peek(self, high: float, low: float, close: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "ADX": ... + +class ADXR(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> Tuple["ADXR", NDArray[np.float64]]: ... + def update(self, high: float, low: float, close: float) -> float: ... + def peek(self, high: float, low: float, close: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "ADXR": ... + +class AO(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], fastperiod: int = 5, slowperiod: int = 34) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], fastperiod: int = 5, slowperiod: int = 34) -> Tuple["AO", NDArray[np.float64]]: ... + def update(self, high: float, low: float) -> float: ... + def peek(self, high: float, low: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "AO": ... + +class APO(Stream): + def __init__(self, real: NDArray[np.float64], fastperiod: int = 12, slowperiod: int = 26, matype: int = 1) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], fastperiod: int = 12, slowperiod: int = 26, matype: int = 1) -> Tuple["APO", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "APO": ... + +class AROON_Value(NamedTuple): + aroondown: float + aroonup: float + +class AROON(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], timeperiod: int = 14) -> Tuple["AROON", Tuple[NDArray[np.float64], NDArray[np.float64]]]: ... + def update(self, high: float, low: float) -> AROON_Value: ... + def peek(self, high: float, low: float) -> AROON_Value: ... + @property + def value(self) -> AROON_Value: ... + def copy(self) -> "AROON": ... + +class AROONOSC(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], timeperiod: int = 14) -> Tuple["AROONOSC", NDArray[np.float64]]: ... + def update(self, high: float, low: float) -> float: ... + def peek(self, high: float, low: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "AROONOSC": ... + +class ASIN(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["ASIN", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "ASIN": ... + +class ATAN(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["ATAN", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "ATAN": ... + +class ATR(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> Tuple["ATR", NDArray[np.float64]]: ... + def update(self, high: float, low: float, close: float) -> float: ... + def peek(self, high: float, low: float, close: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "ATR": ... + +class AVGDEV(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 14) -> Tuple["AVGDEV", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "AVGDEV": ... + +class AVGPRICE(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["AVGPRICE", NDArray[np.float64]]: ... + def update(self, open: float, high: float, low: float, close: float) -> float: ... + def peek(self, open: float, high: float, low: float, close: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "AVGPRICE": ... + +class BBANDS_Value(NamedTuple): + upperband: float + middleband: float + lowerband: float + +class BBANDS(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 20, nbdevup: float = 2.0, nbdevdn: float = 2.0, matype: int = 0) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 20, nbdevup: float = 2.0, nbdevdn: float = 2.0, matype: int = 0) -> Tuple["BBANDS", Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]]: ... + def update(self, real: float) -> BBANDS_Value: ... + def peek(self, real: float) -> BBANDS_Value: ... + @property + def value(self) -> BBANDS_Value: ... + def copy(self) -> "BBANDS": ... + +class BETA(Stream): + def __init__(self, real0: NDArray[np.float64], real1: NDArray[np.float64], timeperiod: int = 5) -> None: ... + @staticmethod + def open_and_fill(real0: NDArray[np.float64], real1: NDArray[np.float64], timeperiod: int = 5) -> Tuple["BETA", NDArray[np.float64]]: ... + def update(self, real0: float, real1: float) -> float: ... + def peek(self, real0: float, real1: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "BETA": ... + +class BOP(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["BOP", NDArray[np.float64]]: ... + def update(self, open: float, high: float, low: float, close: float) -> float: ... + def peek(self, open: float, high: float, low: float, close: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "BOP": ... + +class CCI(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> Tuple["CCI", NDArray[np.float64]]: ... + def update(self, high: float, low: float, close: float) -> float: ... + def peek(self, high: float, low: float, close: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "CCI": ... + +class CDL2CROWS(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDL2CROWS", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDL2CROWS": ... + +class CDL3BLACKCROWS(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDL3BLACKCROWS", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDL3BLACKCROWS": ... + +class CDL3INSIDE(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDL3INSIDE", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDL3INSIDE": ... + +class CDL3LINESTRIKE(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDL3LINESTRIKE", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDL3LINESTRIKE": ... + +class CDL3OUTSIDE(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDL3OUTSIDE", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDL3OUTSIDE": ... + +class CDL3STARSINSOUTH(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDL3STARSINSOUTH", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDL3STARSINSOUTH": ... + +class CDL3WHITESOLDIERS(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDL3WHITESOLDIERS", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDL3WHITESOLDIERS": ... + +class CDLABANDONEDBABY(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], penetration: float = 0.3) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], penetration: float = 0.3) -> Tuple["CDLABANDONEDBABY", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLABANDONEDBABY": ... + +class CDLADVANCEBLOCK(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLADVANCEBLOCK", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLADVANCEBLOCK": ... + +class CDLBELTHOLD(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLBELTHOLD", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLBELTHOLD": ... + +class CDLBREAKAWAY(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLBREAKAWAY", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLBREAKAWAY": ... + +class CDLCLOSINGMARUBOZU(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLCLOSINGMARUBOZU", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLCLOSINGMARUBOZU": ... + +class CDLCONCEALBABYSWALL(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLCONCEALBABYSWALL", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLCONCEALBABYSWALL": ... + +class CDLCOUNTERATTACK(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLCOUNTERATTACK", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLCOUNTERATTACK": ... + +class CDLDARKCLOUDCOVER(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], penetration: float = 0.5) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], penetration: float = 0.5) -> Tuple["CDLDARKCLOUDCOVER", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLDARKCLOUDCOVER": ... + +class CDLDOJI(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLDOJI", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLDOJI": ... + +class CDLDOJISTAR(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLDOJISTAR", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLDOJISTAR": ... + +class CDLDRAGONFLYDOJI(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLDRAGONFLYDOJI", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLDRAGONFLYDOJI": ... + +class CDLENGULFING(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLENGULFING", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLENGULFING": ... + +class CDLEVENINGDOJISTAR(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], penetration: float = 0.3) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], penetration: float = 0.3) -> Tuple["CDLEVENINGDOJISTAR", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLEVENINGDOJISTAR": ... + +class CDLEVENINGSTAR(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], penetration: float = 0.3) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], penetration: float = 0.3) -> Tuple["CDLEVENINGSTAR", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLEVENINGSTAR": ... + +class CDLGAPSIDESIDEWHITE(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLGAPSIDESIDEWHITE", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLGAPSIDESIDEWHITE": ... + +class CDLGRAVESTONEDOJI(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLGRAVESTONEDOJI", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLGRAVESTONEDOJI": ... + +class CDLHAMMER(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLHAMMER", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLHAMMER": ... + +class CDLHANGINGMAN(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLHANGINGMAN", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLHANGINGMAN": ... + +class CDLHARAMI(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLHARAMI", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLHARAMI": ... + +class CDLHARAMICROSS(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLHARAMICROSS", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLHARAMICROSS": ... + +class CDLHIGHWAVE(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLHIGHWAVE", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLHIGHWAVE": ... + +class CDLHIKKAKE(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLHIKKAKE", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLHIKKAKE": ... + +class CDLHIKKAKEMOD(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLHIKKAKEMOD", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLHIKKAKEMOD": ... + +class CDLHOMINGPIGEON(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLHOMINGPIGEON", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLHOMINGPIGEON": ... + +class CDLIDENTICAL3CROWS(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLIDENTICAL3CROWS", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLIDENTICAL3CROWS": ... + +class CDLINNECK(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLINNECK", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLINNECK": ... + +class CDLINVERTEDHAMMER(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLINVERTEDHAMMER", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLINVERTEDHAMMER": ... + +class CDLKICKING(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLKICKING", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLKICKING": ... + +class CDLKICKINGBYLENGTH(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLKICKINGBYLENGTH", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLKICKINGBYLENGTH": ... + +class CDLLADDERBOTTOM(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLLADDERBOTTOM", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLLADDERBOTTOM": ... + +class CDLLONGLEGGEDDOJI(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLLONGLEGGEDDOJI", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLLONGLEGGEDDOJI": ... + +class CDLLONGLINE(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLLONGLINE", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLLONGLINE": ... + +class CDLMARUBOZU(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLMARUBOZU", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLMARUBOZU": ... + +class CDLMATCHINGLOW(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLMATCHINGLOW", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLMATCHINGLOW": ... + +class CDLMATHOLD(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], penetration: float = 0.5) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], penetration: float = 0.5) -> Tuple["CDLMATHOLD", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLMATHOLD": ... + +class CDLMORNINGDOJISTAR(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], penetration: float = 0.3) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], penetration: float = 0.3) -> Tuple["CDLMORNINGDOJISTAR", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLMORNINGDOJISTAR": ... + +class CDLMORNINGSTAR(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], penetration: float = 0.3) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], penetration: float = 0.3) -> Tuple["CDLMORNINGSTAR", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLMORNINGSTAR": ... + +class CDLONNECK(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLONNECK", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLONNECK": ... + +class CDLPIERCING(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLPIERCING", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLPIERCING": ... + +class CDLRICKSHAWMAN(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLRICKSHAWMAN", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLRICKSHAWMAN": ... + +class CDLRISEFALL3METHODS(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLRISEFALL3METHODS", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLRISEFALL3METHODS": ... + +class CDLSEPARATINGLINES(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLSEPARATINGLINES", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLSEPARATINGLINES": ... + +class CDLSHOOTINGSTAR(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLSHOOTINGSTAR", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLSHOOTINGSTAR": ... + +class CDLSHORTLINE(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLSHORTLINE", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLSHORTLINE": ... + +class CDLSPINNINGTOP(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLSPINNINGTOP", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLSPINNINGTOP": ... + +class CDLSTALLEDPATTERN(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLSTALLEDPATTERN", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLSTALLEDPATTERN": ... + +class CDLSTICKSANDWICH(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLSTICKSANDWICH", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLSTICKSANDWICH": ... + +class CDLTAKURI(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLTAKURI", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLTAKURI": ... + +class CDLTASUKIGAP(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLTASUKIGAP", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLTASUKIGAP": ... + +class CDLTHRUSTING(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLTHRUSTING", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLTHRUSTING": ... + +class CDLTRISTAR(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLTRISTAR", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLTRISTAR": ... + +class CDLUNIQUE3RIVER(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLUNIQUE3RIVER", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLUNIQUE3RIVER": ... + +class CDLUPSIDEGAP2CROWS(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLUPSIDEGAP2CROWS", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLUPSIDEGAP2CROWS": ... + +class CDLXSIDEGAP3METHODS(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["CDLXSIDEGAP3METHODS", NDArray[np.int32]]: ... + def update(self, open: float, high: float, low: float, close: float) -> int: ... + def peek(self, open: float, high: float, low: float, close: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "CDLXSIDEGAP3METHODS": ... + +class CEIL(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["CEIL", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "CEIL": ... + +class CMF(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], volume: NDArray[np.float64], timeperiod: int = 20) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], volume: NDArray[np.float64], timeperiod: int = 20) -> Tuple["CMF", NDArray[np.float64]]: ... + def update(self, high: float, low: float, close: float, volume: float) -> float: ... + def peek(self, high: float, low: float, close: float, volume: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "CMF": ... + +class CMO(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 14) -> Tuple["CMO", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "CMO": ... + +class CMOU(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 14) -> Tuple["CMOU", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "CMOU": ... + +class COPPOCK(Stream): + def __init__(self, real: NDArray[np.float64], wmaperiod: int = 10, roc1period: int = 11, roc2period: int = 14) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], wmaperiod: int = 10, roc1period: int = 11, roc2period: int = 14) -> Tuple["COPPOCK", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "COPPOCK": ... + +class CORREL(Stream): + def __init__(self, real0: NDArray[np.float64], real1: NDArray[np.float64], timeperiod: int = 30) -> None: ... + @staticmethod + def open_and_fill(real0: NDArray[np.float64], real1: NDArray[np.float64], timeperiod: int = 30) -> Tuple["CORREL", NDArray[np.float64]]: ... + def update(self, real0: float, real1: float) -> float: ... + def peek(self, real0: float, real1: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "CORREL": ... + +class COS(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["COS", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "COS": ... + +class COSH(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["COSH", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "COSH": ... + +class CUMSUM(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["CUMSUM", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "CUMSUM": ... + +class CVI(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], timeperiod: int = 10, rocperiod: int = 10) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], timeperiod: int = 10, rocperiod: int = 10) -> Tuple["CVI", NDArray[np.float64]]: ... + def update(self, high: float, low: float) -> float: ... + def peek(self, high: float, low: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "CVI": ... + +class DEMA(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 30) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 30) -> Tuple["DEMA", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "DEMA": ... + +class DIV(Stream): + def __init__(self, real0: NDArray[np.float64], real1: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real0: NDArray[np.float64], real1: NDArray[np.float64]) -> Tuple["DIV", NDArray[np.float64]]: ... + def update(self, real0: float, real1: float) -> float: ... + def peek(self, real0: float, real1: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "DIV": ... + +class DONCHIAN_Value(NamedTuple): + upperband: float + middleband: float + lowerband: float + +class DONCHIAN(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], timeperiod: int = 20) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], timeperiod: int = 20) -> Tuple["DONCHIAN", Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]]: ... + def update(self, high: float, low: float) -> DONCHIAN_Value: ... + def peek(self, high: float, low: float) -> DONCHIAN_Value: ... + @property + def value(self) -> DONCHIAN_Value: ... + def copy(self) -> "DONCHIAN": ... + +class DPO(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 20) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 20) -> Tuple["DPO", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "DPO": ... + +class DX(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> Tuple["DX", NDArray[np.float64]]: ... + def update(self, high: float, low: float, close: float) -> float: ... + def peek(self, high: float, low: float, close: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "DX": ... + +class EFI(Stream): + def __init__(self, close: NDArray[np.float64], volume: NDArray[np.float64], timeperiod: int = 13) -> None: ... + @staticmethod + def open_and_fill(close: NDArray[np.float64], volume: NDArray[np.float64], timeperiod: int = 13) -> Tuple["EFI", NDArray[np.float64]]: ... + def update(self, close: float, volume: float) -> float: ... + def peek(self, close: float, volume: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "EFI": ... + +class EMA(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 30) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 30) -> Tuple["EMA", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "EMA": ... + +class ER(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 10) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 10) -> Tuple["ER", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "ER": ... + +class ERI_Value(NamedTuple): + bullpower: float + bearpower: float + +class ERI(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 13) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 13) -> Tuple["ERI", Tuple[NDArray[np.float64], NDArray[np.float64]]]: ... + def update(self, high: float, low: float, close: float) -> ERI_Value: ... + def peek(self, high: float, low: float, close: float) -> ERI_Value: ... + @property + def value(self) -> ERI_Value: ... + def copy(self) -> "ERI": ... + +class EXP(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["EXP", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "EXP": ... + +class FLOOR(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["FLOOR", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "FLOOR": ... + +class FOSC(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 5) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 5) -> Tuple["FOSC", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "FOSC": ... + +class FRACTAL_Value(NamedTuple): + swinghigh: int + swinglow: int + +class FRACTAL(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], leftbars: int = 2, rightbars: int = 2) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], leftbars: int = 2, rightbars: int = 2) -> Tuple["FRACTAL", Tuple[NDArray[np.int32], NDArray[np.int32]]]: ... + def update(self, high: float, low: float) -> FRACTAL_Value: ... + def peek(self, high: float, low: float) -> FRACTAL_Value: ... + @property + def value(self) -> FRACTAL_Value: ... + def copy(self) -> "FRACTAL": ... + +class HA_Value(NamedTuple): + haopen: float + hahigh: float + halow: float + haclose: float + +class HA(Stream): + def __init__(self, open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["HA", Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]]: ... + def update(self, open: float, high: float, low: float, close: float) -> HA_Value: ... + def peek(self, open: float, high: float, low: float, close: float) -> HA_Value: ... + @property + def value(self) -> HA_Value: ... + def copy(self) -> "HA": ... + +class HMA(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 20) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 20) -> Tuple["HMA", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "HMA": ... + +class HT_DCPERIOD(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["HT_DCPERIOD", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "HT_DCPERIOD": ... + +class HT_DCPHASE(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["HT_DCPHASE", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "HT_DCPHASE": ... + +class HT_PHASOR_Value(NamedTuple): + inphase: float + quadrature: float + +class HT_PHASOR(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["HT_PHASOR", Tuple[NDArray[np.float64], NDArray[np.float64]]]: ... + def update(self, real: float) -> HT_PHASOR_Value: ... + def peek(self, real: float) -> HT_PHASOR_Value: ... + @property + def value(self) -> HT_PHASOR_Value: ... + def copy(self) -> "HT_PHASOR": ... + +class HT_SINE_Value(NamedTuple): + sine: float + leadsine: float + +class HT_SINE(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["HT_SINE", Tuple[NDArray[np.float64], NDArray[np.float64]]]: ... + def update(self, real: float) -> HT_SINE_Value: ... + def peek(self, real: float) -> HT_SINE_Value: ... + @property + def value(self) -> HT_SINE_Value: ... + def copy(self) -> "HT_SINE": ... + +class HT_TRENDLINE(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["HT_TRENDLINE", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "HT_TRENDLINE": ... + +class HT_TRENDMODE(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["HT_TRENDMODE", NDArray[np.int32]]: ... + def update(self, real: float) -> int: ... + def peek(self, real: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "HT_TRENDMODE": ... + +class IMI(Stream): + def __init__(self, open: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> Tuple["IMI", NDArray[np.float64]]: ... + def update(self, open: float, close: float) -> float: ... + def peek(self, open: float, close: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "IMI": ... + +class KAMA(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 30) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 30) -> Tuple["KAMA", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "KAMA": ... + +class KC_Value(NamedTuple): + upperband: float + middleband: float + lowerband: float + +class KC(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 20, atrperiod: int = 10, nbdev: float = 2.0) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 20, atrperiod: int = 10, nbdev: float = 2.0) -> Tuple["KC", Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]]: ... + def update(self, high: float, low: float, close: float) -> KC_Value: ... + def peek(self, high: float, low: float, close: float) -> KC_Value: ... + @property + def value(self) -> KC_Value: ... + def copy(self) -> "KC": ... + +class KDJ_Value(NamedTuple): + k: float + d: float + j: float + +class KDJ(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], fastk_period: int = 9, slowk_period: int = 3, slowk_matype: int = 13, slowd_period: int = 3, slowd_matype: int = 13) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], fastk_period: int = 9, slowk_period: int = 3, slowk_matype: int = 13, slowd_period: int = 3, slowd_matype: int = 13) -> Tuple["KDJ", Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]]: ... + def update(self, high: float, low: float, close: float) -> KDJ_Value: ... + def peek(self, high: float, low: float, close: float) -> KDJ_Value: ... + @property + def value(self) -> KDJ_Value: ... + def copy(self) -> "KDJ": ... + +class LINEARREG(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 14) -> Tuple["LINEARREG", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "LINEARREG": ... + +class LINEARREG_ANGLE(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 14) -> Tuple["LINEARREG_ANGLE", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "LINEARREG_ANGLE": ... + +class LINEARREG_INTERCEPT(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 14) -> Tuple["LINEARREG_INTERCEPT", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "LINEARREG_INTERCEPT": ... + +class LINEARREG_SLOPE(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 14) -> Tuple["LINEARREG_SLOPE", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "LINEARREG_SLOPE": ... + +class LN(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["LN", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "LN": ... + +class LOG10(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["LOG10", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "LOG10": ... + +class MA(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 30, matype: int = 0) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 30, matype: int = 0) -> Tuple["MA", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "MA": ... + +class MACD_Value(NamedTuple): + macd: float + macdsignal: float + macdhist: float + +class MACD(Stream): + def __init__(self, real: NDArray[np.float64], fastperiod: int = 12, slowperiod: int = 26, signalperiod: int = 9) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], fastperiod: int = 12, slowperiod: int = 26, signalperiod: int = 9) -> Tuple["MACD", Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]]: ... + def update(self, real: float) -> MACD_Value: ... + def peek(self, real: float) -> MACD_Value: ... + @property + def value(self) -> MACD_Value: ... + def copy(self) -> "MACD": ... + +class MACDEXT_Value(NamedTuple): + macd: float + macdsignal: float + macdhist: float + +class MACDEXT(Stream): + def __init__(self, real: NDArray[np.float64], fastperiod: int = 12, fastmatype: int = 0, slowperiod: int = 26, slowmatype: int = 0, signalperiod: int = 9, signalmatype: int = 0) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], fastperiod: int = 12, fastmatype: int = 0, slowperiod: int = 26, slowmatype: int = 0, signalperiod: int = 9, signalmatype: int = 0) -> Tuple["MACDEXT", Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]]: ... + def update(self, real: float) -> MACDEXT_Value: ... + def peek(self, real: float) -> MACDEXT_Value: ... + @property + def value(self) -> MACDEXT_Value: ... + def copy(self) -> "MACDEXT": ... + +class MACDFIX_Value(NamedTuple): + macd: float + macdsignal: float + macdhist: float + +class MACDFIX(Stream): + def __init__(self, real: NDArray[np.float64], signalperiod: int = 9) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], signalperiod: int = 9) -> Tuple["MACDFIX", Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]]: ... + def update(self, real: float) -> MACDFIX_Value: ... + def peek(self, real: float) -> MACDFIX_Value: ... + @property + def value(self) -> MACDFIX_Value: ... + def copy(self) -> "MACDFIX": ... + +class MAMA_Value(NamedTuple): + mama: float + fama: float + +class MAMA(Stream): + def __init__(self, real: NDArray[np.float64], fastlimit: float = 0.5, slowlimit: float = 0.05) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], fastlimit: float = 0.5, slowlimit: float = 0.05) -> Tuple["MAMA", Tuple[NDArray[np.float64], NDArray[np.float64]]]: ... + def update(self, real: float) -> MAMA_Value: ... + def peek(self, real: float) -> MAMA_Value: ... + @property + def value(self) -> MAMA_Value: ... + def copy(self) -> "MAMA": ... + +class MARKETFI(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], volume: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], volume: NDArray[np.float64]) -> Tuple["MARKETFI", NDArray[np.float64]]: ... + def update(self, high: float, low: float, volume: float) -> float: ... + def peek(self, high: float, low: float, volume: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "MARKETFI": ... + +class MASSI(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], fastperiod: int = 9, slowperiod: int = 25) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], fastperiod: int = 9, slowperiod: int = 25) -> Tuple["MASSI", NDArray[np.float64]]: ... + def update(self, high: float, low: float) -> float: ... + def peek(self, high: float, low: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "MASSI": ... + +class MAVP(Stream): + def __init__(self, real: NDArray[np.float64], periods: NDArray[np.float64], minperiod: int = 2, maxperiod: int = 30, matype: int = 0) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], periods: NDArray[np.float64], minperiod: int = 2, maxperiod: int = 30, matype: int = 0) -> Tuple["MAVP", NDArray[np.float64]]: ... + def update(self, real: float, periods: float) -> float: ... + def peek(self, real: float, periods: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "MAVP": ... + +class MAX(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 30) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 30) -> Tuple["MAX", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "MAX": ... + +class MAXINDEX(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 30) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 30) -> Tuple["MAXINDEX", NDArray[np.int32]]: ... + def update(self, real: float) -> int: ... + def peek(self, real: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "MAXINDEX": ... + +class MEDPRICE(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64]) -> Tuple["MEDPRICE", NDArray[np.float64]]: ... + def update(self, high: float, low: float) -> float: ... + def peek(self, high: float, low: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "MEDPRICE": ... + +class MFI(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], volume: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], volume: NDArray[np.float64], timeperiod: int = 14) -> Tuple["MFI", NDArray[np.float64]]: ... + def update(self, high: float, low: float, close: float, volume: float) -> float: ... + def peek(self, high: float, low: float, close: float, volume: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "MFI": ... + +class MIDPOINT(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 14) -> Tuple["MIDPOINT", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "MIDPOINT": ... + +class MIDPRICE(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], timeperiod: int = 14) -> Tuple["MIDPRICE", NDArray[np.float64]]: ... + def update(self, high: float, low: float) -> float: ... + def peek(self, high: float, low: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "MIDPRICE": ... + +class MIN(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 30) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 30) -> Tuple["MIN", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "MIN": ... + +class MININDEX(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 30) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 30) -> Tuple["MININDEX", NDArray[np.int32]]: ... + def update(self, real: float) -> int: ... + def peek(self, real: float) -> int: ... + @property + def value(self) -> int: ... + def copy(self) -> "MININDEX": ... + +class MINMAX_Value(NamedTuple): + min: float + max: float + +class MINMAX(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 30) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 30) -> Tuple["MINMAX", Tuple[NDArray[np.float64], NDArray[np.float64]]]: ... + def update(self, real: float) -> MINMAX_Value: ... + def peek(self, real: float) -> MINMAX_Value: ... + @property + def value(self) -> MINMAX_Value: ... + def copy(self) -> "MINMAX": ... + +class MINMAXINDEX_Value(NamedTuple): + minidx: int + maxidx: int + +class MINMAXINDEX(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 30) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 30) -> Tuple["MINMAXINDEX", Tuple[NDArray[np.int32], NDArray[np.int32]]]: ... + def update(self, real: float) -> MINMAXINDEX_Value: ... + def peek(self, real: float) -> MINMAXINDEX_Value: ... + @property + def value(self) -> MINMAXINDEX_Value: ... + def copy(self) -> "MINMAXINDEX": ... + +class MINUS_DI(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> Tuple["MINUS_DI", NDArray[np.float64]]: ... + def update(self, high: float, low: float, close: float) -> float: ... + def peek(self, high: float, low: float, close: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "MINUS_DI": ... + +class MINUS_DM(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], timeperiod: int = 14) -> Tuple["MINUS_DM", NDArray[np.float64]]: ... + def update(self, high: float, low: float) -> float: ... + def peek(self, high: float, low: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "MINUS_DM": ... + +class MOM(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 10) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 10) -> Tuple["MOM", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "MOM": ... + +class MULT(Stream): + def __init__(self, real0: NDArray[np.float64], real1: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real0: NDArray[np.float64], real1: NDArray[np.float64]) -> Tuple["MULT", NDArray[np.float64]]: ... + def update(self, real0: float, real1: float) -> float: ... + def peek(self, real0: float, real1: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "MULT": ... + +class NATR(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> Tuple["NATR", NDArray[np.float64]]: ... + def update(self, high: float, low: float, close: float) -> float: ... + def peek(self, high: float, low: float, close: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "NATR": ... + +class NVI(Stream): + def __init__(self, close: NDArray[np.float64], volume: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(close: NDArray[np.float64], volume: NDArray[np.float64]) -> Tuple["NVI", NDArray[np.float64]]: ... + def update(self, close: float, volume: float) -> float: ... + def peek(self, close: float, volume: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "NVI": ... + +class OBV(Stream): + def __init__(self, real: NDArray[np.float64], volume: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], volume: NDArray[np.float64]) -> Tuple["OBV", NDArray[np.float64]]: ... + def update(self, real: float, volume: float) -> float: ... + def peek(self, real: float, volume: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "OBV": ... + +class PERCENTILE(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 30, percentile: float = 50.0) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 30, percentile: float = 50.0) -> Tuple["PERCENTILE", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "PERCENTILE": ... + +class PERCENTRANK(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 100) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 100) -> Tuple["PERCENTRANK", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "PERCENTRANK": ... + +class PLUS_DI(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> Tuple["PLUS_DI", NDArray[np.float64]]: ... + def update(self, high: float, low: float, close: float) -> float: ... + def peek(self, high: float, low: float, close: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "PLUS_DI": ... + +class PLUS_DM(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], timeperiod: int = 14) -> Tuple["PLUS_DM", NDArray[np.float64]]: ... + def update(self, high: float, low: float) -> float: ... + def peek(self, high: float, low: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "PLUS_DM": ... + +class PPO(Stream): + def __init__(self, real: NDArray[np.float64], fastperiod: int = 12, slowperiod: int = 26, matype: int = 1) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], fastperiod: int = 12, slowperiod: int = 26, matype: int = 1) -> Tuple["PPO", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "PPO": ... + +class PVI(Stream): + def __init__(self, close: NDArray[np.float64], volume: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(close: NDArray[np.float64], volume: NDArray[np.float64]) -> Tuple["PVI", NDArray[np.float64]]: ... + def update(self, close: float, volume: float) -> float: ... + def peek(self, close: float, volume: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "PVI": ... + +class PVO(Stream): + def __init__(self, volume: NDArray[np.float64], fastperiod: int = 12, slowperiod: int = 26, matype: int = 1) -> None: ... + @staticmethod + def open_and_fill(volume: NDArray[np.float64], fastperiod: int = 12, slowperiod: int = 26, matype: int = 1) -> Tuple["PVO", NDArray[np.float64]]: ... + def update(self, volume: float) -> float: ... + def peek(self, volume: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "PVO": ... + +class PVT(Stream): + def __init__(self, close: NDArray[np.float64], volume: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(close: NDArray[np.float64], volume: NDArray[np.float64]) -> Tuple["PVT", NDArray[np.float64]]: ... + def update(self, close: float, volume: float) -> float: ... + def peek(self, close: float, volume: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "PVT": ... + +class QSTICK(Stream): + def __init__(self, open: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 10) -> None: ... + @staticmethod + def open_and_fill(open: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 10) -> Tuple["QSTICK", NDArray[np.float64]]: ... + def update(self, open: float, close: float) -> float: ... + def peek(self, open: float, close: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "QSTICK": ... + +class RMA(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 30) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 30) -> Tuple["RMA", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "RMA": ... + +class ROC(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 10) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 10) -> Tuple["ROC", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "ROC": ... + +class ROCP(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 10) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 10) -> Tuple["ROCP", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "ROCP": ... + +class ROCR(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 10) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 10) -> Tuple["ROCR", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "ROCR": ... + +class ROCR100(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 10) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 10) -> Tuple["ROCR100", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "ROCR100": ... + +class RSI(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 14) -> Tuple["RSI", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "RSI": ... + +class RVI(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 14, stddevperiod: int = 10) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 14, stddevperiod: int = 10) -> Tuple["RVI", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "RVI": ... + +class RVOL(Stream): + def __init__(self, volume: NDArray[np.float64], timeperiod: int = 20) -> None: ... + @staticmethod + def open_and_fill(volume: NDArray[np.float64], timeperiod: int = 20) -> Tuple["RVOL", NDArray[np.float64]]: ... + def update(self, volume: float) -> float: ... + def peek(self, volume: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "RVOL": ... + +class SAR(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], acceleration: float = 0.02, maximum: float = 0.2) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], acceleration: float = 0.02, maximum: float = 0.2) -> Tuple["SAR", NDArray[np.float64]]: ... + def update(self, high: float, low: float) -> float: ... + def peek(self, high: float, low: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "SAR": ... + +class SAREXT(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], startvalue: float = 0.0, offsetonreverse: float = 0.0, accelerationinitlong: float = 0.02, accelerationlong: float = 0.02, accelerationmaxlong: float = 0.2, accelerationinitshort: float = 0.02, accelerationshort: float = 0.02, accelerationmaxshort: float = 0.2) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], startvalue: float = 0.0, offsetonreverse: float = 0.0, accelerationinitlong: float = 0.02, accelerationlong: float = 0.02, accelerationmaxlong: float = 0.2, accelerationinitshort: float = 0.02, accelerationshort: float = 0.02, accelerationmaxshort: float = 0.2) -> Tuple["SAREXT", NDArray[np.float64]]: ... + def update(self, high: float, low: float) -> float: ... + def peek(self, high: float, low: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "SAREXT": ... + +class SIN(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["SIN", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "SIN": ... + +class SINH(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["SINH", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "SINH": ... + +class SMA(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 30) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 30) -> Tuple["SMA", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "SMA": ... + +class SMI_Value(NamedTuple): + smi: float + smisignal: float + +class SMI(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 13, fastperiod: int = 2, slowperiod: int = 25, signalperiod: int = 9) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 13, fastperiod: int = 2, slowperiod: int = 25, signalperiod: int = 9) -> Tuple["SMI", Tuple[NDArray[np.float64], NDArray[np.float64]]]: ... + def update(self, high: float, low: float, close: float) -> SMI_Value: ... + def peek(self, high: float, low: float, close: float) -> SMI_Value: ... + @property + def value(self) -> SMI_Value: ... + def copy(self) -> "SMI": ... + +class SQRT(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["SQRT", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "SQRT": ... + +class STDDEV(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 5, nbdev: float = 1.0) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 5, nbdev: float = 1.0) -> Tuple["STDDEV", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "STDDEV": ... + +class STOCH_Value(NamedTuple): + slowk: float + slowd: float + +class STOCH(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], fastk_period: int = 5, slowk_period: int = 3, slowk_matype: int = 0, slowd_period: int = 3, slowd_matype: int = 0) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], fastk_period: int = 5, slowk_period: int = 3, slowk_matype: int = 0, slowd_period: int = 3, slowd_matype: int = 0) -> Tuple["STOCH", Tuple[NDArray[np.float64], NDArray[np.float64]]]: ... + def update(self, high: float, low: float, close: float) -> STOCH_Value: ... + def peek(self, high: float, low: float, close: float) -> STOCH_Value: ... + @property + def value(self) -> STOCH_Value: ... + def copy(self) -> "STOCH": ... + +class STOCHF_Value(NamedTuple): + fastk: float + fastd: float + +class STOCHF(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], fastk_period: int = 5, fastd_period: int = 3, fastd_matype: int = 0) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], fastk_period: int = 5, fastd_period: int = 3, fastd_matype: int = 0) -> Tuple["STOCHF", Tuple[NDArray[np.float64], NDArray[np.float64]]]: ... + def update(self, high: float, low: float, close: float) -> STOCHF_Value: ... + def peek(self, high: float, low: float, close: float) -> STOCHF_Value: ... + @property + def value(self) -> STOCHF_Value: ... + def copy(self) -> "STOCHF": ... + +class STOCHRSI_Value(NamedTuple): + fastk: float + fastd: float + +class STOCHRSI(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 14, fastk_period: int = 5, fastd_period: int = 3, fastd_matype: int = 0) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 14, fastk_period: int = 5, fastd_period: int = 3, fastd_matype: int = 0) -> Tuple["STOCHRSI", Tuple[NDArray[np.float64], NDArray[np.float64]]]: ... + def update(self, real: float) -> STOCHRSI_Value: ... + def peek(self, real: float) -> STOCHRSI_Value: ... + @property + def value(self) -> STOCHRSI_Value: ... + def copy(self) -> "STOCHRSI": ... + +class SUB(Stream): + def __init__(self, real0: NDArray[np.float64], real1: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real0: NDArray[np.float64], real1: NDArray[np.float64]) -> Tuple["SUB", NDArray[np.float64]]: ... + def update(self, real0: float, real1: float) -> float: ... + def peek(self, real0: float, real1: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "SUB": ... + +class SUM(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 30) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 30) -> Tuple["SUM", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "SUM": ... + +class SUPERTREND_Value(NamedTuple): + real: float + integer: int + +class SUPERTREND(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 10, multiplier: float = 3.0) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 10, multiplier: float = 3.0) -> Tuple["SUPERTREND", Tuple[NDArray[np.float64], NDArray[np.int32]]]: ... + def update(self, high: float, low: float, close: float) -> SUPERTREND_Value: ... + def peek(self, high: float, low: float, close: float) -> SUPERTREND_Value: ... + @property + def value(self) -> SUPERTREND_Value: ... + def copy(self) -> "SUPERTREND": ... + +class T3(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 5, vfactor: float = 0.7) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 5, vfactor: float = 0.7) -> Tuple["T3", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "T3": ... + +class TAN(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["TAN", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "TAN": ... + +class TANH(Stream): + def __init__(self, real: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64]) -> Tuple["TANH", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "TANH": ... + +class TEMA(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 30) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 30) -> Tuple["TEMA", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "TEMA": ... + +class TRANGE(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["TRANGE", NDArray[np.float64]]: ... + def update(self, high: float, low: float, close: float) -> float: ... + def peek(self, high: float, low: float, close: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "TRANGE": ... + +class TRIMA(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 30) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 30) -> Tuple["TRIMA", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "TRIMA": ... + +class TRIX(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 30) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 30) -> Tuple["TRIX", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "TRIX": ... + +class TSF(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 14) -> Tuple["TSF", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "TSF": ... + +class TSI(Stream): + def __init__(self, real: NDArray[np.float64], firstperiod: int = 25, secondperiod: int = 13) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], firstperiod: int = 25, secondperiod: int = 13) -> Tuple["TSI", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "TSI": ... + +class TYPPRICE(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["TYPPRICE", NDArray[np.float64]]: ... + def update(self, high: float, low: float, close: float) -> float: ... + def peek(self, high: float, low: float, close: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "TYPPRICE": ... + +class ULTOSC(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod1: int = 7, timeperiod2: int = 14, timeperiod3: int = 28) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod1: int = 7, timeperiod2: int = 14, timeperiod3: int = 28) -> Tuple["ULTOSC", NDArray[np.float64]]: ... + def update(self, high: float, low: float, close: float) -> float: ... + def peek(self, high: float, low: float, close: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "ULTOSC": ... + +class VAR(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 5, nbdev: float = 1.0) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 5, nbdev: float = 1.0) -> Tuple["VAR", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "VAR": ... + +class VHF(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 28) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 28) -> Tuple["VHF", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "VHF": ... + +class VORTEX_Value(NamedTuple): + plusvi: float + minusvi: float + +class VORTEX(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> Tuple["VORTEX", Tuple[NDArray[np.float64], NDArray[np.float64]]]: ... + def update(self, high: float, low: float, close: float) -> VORTEX_Value: ... + def peek(self, high: float, low: float, close: float) -> VORTEX_Value: ... + @property + def value(self) -> VORTEX_Value: ... + def copy(self) -> "VORTEX": ... + +class VWAP(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], volume: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], volume: NDArray[np.float64]) -> Tuple["VWAP", NDArray[np.float64]]: ... + def update(self, high: float, low: float, close: float, volume: float) -> float: ... + def peek(self, high: float, low: float, close: float, volume: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "VWAP": ... + +class VWMA(Stream): + def __init__(self, real: NDArray[np.float64], volume: NDArray[np.float64], timeperiod: int = 30) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], volume: NDArray[np.float64], timeperiod: int = 30) -> Tuple["VWMA", NDArray[np.float64]]: ... + def update(self, real: float, volume: float) -> float: ... + def peek(self, real: float, volume: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "VWMA": ... + +class WAD(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["WAD", NDArray[np.float64]]: ... + def update(self, high: float, low: float, close: float) -> float: ... + def peek(self, high: float, low: float, close: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "WAD": ... + +class WCLPRICE(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64]) -> Tuple["WCLPRICE", NDArray[np.float64]]: ... + def update(self, high: float, low: float, close: float) -> float: ... + def peek(self, high: float, low: float, close: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "WCLPRICE": ... + +class WILLR(Stream): + def __init__(self, high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> None: ... + @staticmethod + def open_and_fill(high: NDArray[np.float64], low: NDArray[np.float64], close: NDArray[np.float64], timeperiod: int = 14) -> Tuple["WILLR", NDArray[np.float64]]: ... + def update(self, high: float, low: float, close: float) -> float: ... + def peek(self, high: float, low: float, close: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "WILLR": ... + +class WMA(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 30) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 30) -> Tuple["WMA", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "WMA": ... + +class ZLEMA(Stream): + def __init__(self, real: NDArray[np.float64], timeperiod: int = 30) -> None: ... + @staticmethod + def open_and_fill(real: NDArray[np.float64], timeperiod: int = 30) -> Tuple["ZLEMA", NDArray[np.float64]]: ... + def update(self, real: float) -> float: ... + def peek(self, real: float) -> float: ... + @property + def value(self) -> float: ... + def copy(self) -> "ZLEMA": ... diff --git a/tests/test_pandas.py b/tests/test_pandas.py index 78f1a1236..1839a70f7 100644 --- a/tests/test_pandas.py +++ b/tests/test_pandas.py @@ -3,6 +3,7 @@ import pandas as pd import talib +from talib import stream def test_MOM(): @@ -49,3 +50,25 @@ def test_MAVP(): assert_array_equal(sma3.index, range(10, 20)) assert_array_equal(result.values[2::2], sma2.values[2::2]) assert_array_equal(result.values[3::2], sma3.values[3::2]) + + +def test_stream_MOM(): + values = pd.Series([90.0, 88.0, 89.0], index=[10, 20, 30]) + assert stream.MOM(values, timeperiod=1).value == 1 + assert stream.MOM(values, timeperiod=2).update(94.0) == 6 + + handle, filled = stream.MOM.open_and_fill(values, timeperiod=1) + assert isinstance(filled, pd.Series) + assert_array_equal(filled.values, talib.MOM(values, timeperiod=1).values) + assert_array_equal(filled.index, [10, 20, 30]) + assert handle.value == filled.iloc[-1] + + +def test_stream_MAVP(): + a = pd.Series([1, 5, 3, 4, 7, 3, 8, 1, 4, 6], index=range(10, 20), dtype=float) + b = pd.Series([2, 4, 2, 4, 2, 4, 2, 4, 2, 4], index=range(20, 30), dtype=float) + handle, filled = stream.MAVP.open_and_fill(a, b, minperiod=2, maxperiod=4) + assert isinstance(filled, pd.Series) + assert_array_equal(filled.values, talib.MAVP(a, b, minperiod=2, maxperiod=4).values) + assert_array_equal(filled.index, range(10, 20)) + assert handle.value == filled.iloc[-1] diff --git a/tests/test_polars.py b/tests/test_polars.py index f83e594d9..b281fa9bc 100644 --- a/tests/test_polars.py +++ b/tests/test_polars.py @@ -3,7 +3,7 @@ import polars as pl import talib -from talib import abstract +from talib import abstract, stream def test_MOM(): values = pl.Series([90.0,88.0,89.0]) @@ -86,3 +86,14 @@ def test_AVR(): low = df['low'] close = df['close'] atr = talib.ATR(high, low, close, timeperiod=14) + + +def test_stream_MOM(): + values = pl.Series([90.0, 88.0, 89.0]) + assert stream.MOM(values, timeperiod=1).value == 1 + assert stream.MOM(values, timeperiod=2).update(94.0) == 6 + + handle, filled = stream.MOM.open_and_fill(values, timeperiod=1) + assert isinstance(filled, pl.Series) + assert_array_equal(filled.to_numpy(), talib.MOM(values, timeperiod=1).to_numpy()) + assert handle.value == filled[-1] diff --git a/tests/test_stream.py b/tests/test_stream.py index afb99edcf..f029b92e1 100644 --- a/tests/test_stream.py +++ b/tests/test_stream.py @@ -1,66 +1,347 @@ +import ast +import copy +import os +import pickle +from functools import lru_cache + import numpy as np -import pandas as pd - -from talib import stream - - -def test_streaming(): - a = np.array([1,1,2,3,5,8,13], dtype=float) - r = stream.MOM(a, timeperiod=1) - assert r == 5 - r = stream.MOM(a, timeperiod=2) - assert r == 8 - r = stream.MOM(a, timeperiod=3) - assert r == 10 - r = stream.MOM(a, timeperiod=4) - assert r == 11 - r = stream.MOM(a, timeperiod=5) - assert r == 12 - r = stream.MOM(a, timeperiod=6) - assert r == 12 - r = stream.MOM(a, timeperiod=7) - assert np.isnan(r) - - -def test_streaming_pandas(): - a = pd.Series([1,1,2,3,5,8,13]) - r = stream.MOM(a, timeperiod=1) - assert r == 5 - r = stream.MOM(a, timeperiod=2) - assert r == 8 - r = stream.MOM(a, timeperiod=3) - assert r == 10 - r = stream.MOM(a, timeperiod=4) - assert r == 11 - r = stream.MOM(a, timeperiod=5) - assert r == 12 - r = stream.MOM(a, timeperiod=6) - assert r == 12 - r = stream.MOM(a, timeperiod=7) - assert np.isnan(r) - - -def test_CDL3BLACKCROWS(): - o = np.array([39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 40.32, 40.51, 38.09, 35.00]) - h = np.array([40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 41.69, 40.84, 38.12, 35.50]) - l = np.array([35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 39.26, 36.73, 33.37, 30.03]) - c = np.array([40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.46, 37.08, 33.37, 30.03]) - - r = stream.CDL3BLACKCROWS(o, h, l, c) - assert r == -100 - - -def test_CDL3BLACKCROWS_pandas(): - o = pd.Series([39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 39.00, 40.32, 40.51, 38.09, 35.00]) - h = pd.Series([40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 40.84, 41.69, 40.84, 38.12, 35.50]) - l = pd.Series([35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 35.80, 39.26, 36.73, 33.37, 30.03]) - c = pd.Series([40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.29, 40.46, 37.08, 33.37, 30.03]) - - r = stream.CDL3BLACKCROWS(o, h, l, c) - assert r == -100 - - -def test_MAXINDEX(): - a = np.array([1., 2, 3, 4, 5, 6, 7, 8, 7, 7, 3, 4, 5, 6, 7, 8, 9, 2, 3, 4, 5, 15]) - r = stream.MAXINDEX(a, 10) - assert r == 21 +import pytest + +import talib +from talib import abstract, stream + + +def _flagged(flag): + return {name for name in talib.__TA_FUNCTION_NAMES__ + if flag in abstract.Function(name).function_flags} + + +# The corpus is what the C library itself says streams, not the hand-maintained +# group dict: a function the flag knows and the dict does not would otherwise be +# silently absent from every parametrised test below. +FUNCTIONS = sorted(_flagged('Function has a streaming API')) +CANDLESTICKS = _flagged('Output is a candlestick') +NAN_BARS = 5 + +with open(os.path.join(os.path.dirname(talib.__file__), 'stream.pyi')) as _stub: + STUB = _stub.read() + + +@lru_cache(maxsize=None) +def _input_names(name): + return abstract.Function(name).info['input_names'] + + +def series(name, data): + """The arrays talib. and stream. take, in order.""" + args = [] + for role, price in _input_names(name).items(): + if isinstance(price, list): + args.extend(data[p] for p in price) + else: + args.append(data[price if price in data else role]) + return args + + +def lookback(name): + # Not cached: the unstable period moves it. + return abstract.Function(name).lookback + + +def outputs(result): + return result if isinstance(result, tuple) else (result,) + + +def paired(got, want): + """zip() stops at the shorter side; a handle short of an output would + otherwise compare nothing.""" + assert len(got) == len(want), (len(got), len(want)) + return zip(got, want) + + +def batch(name, data): + return [np.asarray(a) for a in outputs(getattr(talib, name)(*series(name, data)))] + + +def opened(name, args, warmup): + """A handle over the first `warmup` bars, or over as few more as its seeding + needs: lookback + 1 is a floor, not a promise.""" + for size in range(warmup, warmup + 4): + try: + return size, getattr(stream, name)(*[a[:size] for a in args]) + except talib.InsufficientHistory: + continue + pytest.fail('%s did not open on %d bars' % (name, warmup + 3)) + + +def carried(name, data, warmup): + """Open on a prefix, then update through the rest, against the batch series.""" + args = series(name, data) + expected = batch(name, data) + warmup, handle = opened(name, args, warmup) + for got, want in paired(outputs(handle.value), expected): + assert repr(got) == repr(want[warmup - 1].item()), name + updated = 0 + for bar in range(warmup, len(data['close'])): + produced = handle.update(*[a[bar] for a in args]) + for got, want in paired(outputs(produced), expected): + assert repr(got) == repr(want[bar].item()), (name, bar) + updated += 1 + assert updated == len(data['close']) - warmup + return handle + + +def identical(got, want): + """Bit-exact for arrays: NaN equals NaN, and -0.0 does not equal 0.0.""" + got, want = np.asarray(got).astype(float), np.asarray(want).astype(float) + if not np.array_equal(got, want, equal_nan=True): + return False + real = ~np.isnan(got) + return np.array_equal(np.signbit(got[real]), np.signbit(want[real])) + + +def parameters(doc): + """Names and defaults from the signature Cython embeds on the first line.""" + head = doc.split('\n')[0] + body = head[head.index('(') + 1:head.rindex(')')] + named = [] + for argument in body.split(','): + argument = argument.strip() + if argument and argument != 'self': + name, _, default = argument.partition('=') + named.append((name.split()[-1], default)) + return named + + +def varies(out, warmup): + out = np.asarray(out[warmup:], dtype=float) + return len(np.unique(out[~np.isnan(out)])) > 1 + + +@pytest.fixture(scope='session') +def datasets(ford_2012): + """The real prices, and the same prices mapped into [-1, 1] so that the + domain-limited transforms produce something other than NaN.""" + ford = {k: np.asarray(v, dtype=float) for k, v in ford_2012.items()} + prices = np.concatenate([ford[k] for k in ('open', 'high', 'low', 'close')]) + lo, hi = prices.min(), prices.max() + volume = ford['volume'] + scaled = {k: (v - lo) / (hi - lo) * 2 - 1 for k, v in ford.items() if k != 'volume'} + scaled['volume'] = (volume - volume.min()) / (volume.max() - volume.min()) * 0.9 + 0.1 + # And one with degenerate bars, which real prices never have: a bar with no + # range at all and a bar with no trades are the inputs that reach the + # zero-denominator guards. + flat = {k: v.copy() for k, v in ford.items()} + for k in ('open', 'high', 'low'): + flat[k][::7] = flat['close'][::7] + flat['volume'][::11] = 0.0 + for data in (ford, scaled, flat): + data['periods'] = np.linspace(2, 20, len(data['close'])) + return ford, scaled, flat + + +@pytest.fixture(scope='session') +def nan_prefixed(datasets): + """The real prices behind NAN_BARS bars of NaN -- what a shifted or resampled + column looks like. The Function API opens past those bars; so does a handle.""" + return {k: np.concatenate([np.full(NAN_BARS, np.nan), v]) + for k, v in datasets[0].items()} + + +@pytest.mark.parametrize('name', FUNCTIONS) +def test_matches_batch(name, datasets): + """Two warm-up prefixes: an open-side seeding bug hides at a single one.""" + for data in datasets: + for warmup in (lookback(name) + 1, len(data['close']) // 2): + carried(name, data, max(warmup, lookback(name) + 1)) + + +@pytest.mark.parametrize('name', FUNCTIONS) +def test_leading_nan_bars_are_not_history(name, nan_prefixed): + """They are not counted as warm-up, and an index output still comes back in + the caller's coordinates, exactly as the Function API reports it.""" + handle = carried(name, nan_prefixed, NAN_BARS + lookback(name) + 1) + bars = len(nan_prefixed['close']) - NAN_BARS - lookback(name) + assert handle.out_range == (NAN_BARS + lookback(name), bars) + + args = series(name, nan_prefixed) + filled = outputs(getattr(stream, name).open_and_fill(*args)[1]) + for got, want in paired(filled, batch(name, nan_prefixed)): + assert identical(got, want) + + if lookback(name): + with pytest.raises(talib.InsufficientHistory): + getattr(stream, name)(*[a[:NAN_BARS + lookback(name)] for a in args]) + + +def test_the_data_discriminates(datasets): + """A stream-equals-batch comparison proves nothing about an output whose + batch series never varies. Only candlesticks are flat here, and data rich + enough to fire every pattern is the C library's own gate.""" + flat, checked = set(), 0 + for name in FUNCTIONS: + warmup = lookback(name) + 1 + seen = [varies(out, warmup) for out in batch(name, datasets[0])] + for data in datasets[1:]: + seen = [was or varies(out, warmup) + for was, out in zip(seen, batch(name, data))] + checked += 1 + if not all(seen): + flat.add(name) + assert checked == len(FUNCTIONS) + assert flat <= CANDLESTICKS + + +@pytest.mark.parametrize('name', FUNCTIONS) +def test_open_and_fill_matches_batch(name, datasets): + data = datasets[0] + expected = batch(name, data) + handle, filled = getattr(stream, name).open_and_fill(*series(name, data)) + for got, want in paired(outputs(filled), expected): + assert got.dtype == want.dtype + assert identical(got, want) + for got, want in paired(outputs(handle.value), expected): + assert repr(got) == repr(want[-1].item()) + assert handle.out_range == (lookback(name), len(data['close']) - lookback(name)) + if len(expected) > 1: + assert handle.value._fields == tuple(abstract.Function(name).output_names) + + +@pytest.mark.parametrize('name', FUNCTIONS) +def test_peek_and_copy_commit_nothing(name, datasets): + data = datasets[0] + args = series(name, data) + handle, _ = getattr(stream, name).open_and_fill(*args) + fork = handle.copy() + value, span = repr(handle.value), handle.out_range + bar = [a[-2] for a in args] # a bar other than the one it just consumed + + provisional = repr(handle.peek(*bar)) + assert repr(handle.peek(*bar)) == provisional + assert (repr(handle.value), handle.out_range) == (value, span) + assert repr(handle.update(*bar)) == provisional + assert handle.out_range == (span.begidx, span.nbelement + 1) + assert (repr(fork.value), fork.out_range) == (value, span) + + +@pytest.mark.parametrize('name', FUNCTIONS) +def test_advance_counts_a_skipped_bar(name, datasets): + handle, _ = getattr(stream, name).open_and_fill(*series(name, datasets[0])) + value, span = repr(handle.value), handle.out_range + handle.advance() + assert handle.out_range == (span.begidx, span.nbelement + 1) + assert repr(handle.value) == value + + +@pytest.mark.parametrize('name', FUNCTIONS) +def test_the_open_boundary_is_sharp(name, datasets): + """Opening needs at least lookback + 1 bars, and more where the seeding does, + so what holds everywhere is that every shorter history is refused.""" + args = series(name, datasets[0]) + need = lookback(name) + 1 + for size in range(need + 3): + try: + getattr(stream, name)(*[a[:size] for a in args]) + except talib.InsufficientHistory: + continue + assert size >= need + return + pytest.fail('%s never opened' % name) + + +@pytest.mark.parametrize('name', FUNCTIONS) +def test_takes_the_arguments_the_function_takes(name): + """Including the bar arguments' names and order, which no value comparison + reaches: swapping high and low leaves MEDPRICE bit-identical.""" + handle, function = getattr(stream, name), getattr(talib, name) + assert parameters(handle.__doc__) == parameters(function.__doc__) + assert parameters(handle.open_and_fill.__doc__) == parameters(function.__doc__) + bars = parameters(handle.update.__doc__) + assert bars == parameters(handle.peek.__doc__) + assert bars == parameters(function.__doc__)[:len(bars)] + + +@pytest.mark.parametrize('name', FUNCTIONS) +def test_the_stub_matches_the_handle(name): + """talib/stream.pyi is generated from the same headers, but nothing in a + plain test run regenerates it, so compare it to what actually shipped.""" + declared = {node.name: node for node in ast.parse(STUB).body + if isinstance(node, ast.ClassDef)} + for method, signature in (('__init__', getattr(stream, name).__doc__), + ('update', getattr(stream, name).update.__doc__)): + stub = [argument.arg + for node in declared[name].body + if isinstance(node, ast.FunctionDef) and node.name == method + for argument in node.args.args if argument.arg != 'self'] + assert stub == [n for n, _ in parameters(signature)], (name, method) + + +def test_the_corpus_is_what_the_library_says_streams(): + """FUNCTIONS is derived from TA_FUNC_FLG_STREAM. Pin it against the other two + lists of the same thing, so a function added to one and not the others fails + here rather than quietly dropping out of the tests above.""" + assert FUNCTIONS + assert set(FUNCTIONS) == set(talib.__TA_FUNCTION_NAMES__) + assert set(FUNCTIONS) == set(talib.get_functions()) + assert all(isinstance(getattr(stream, name), type) for name in FUNCTIONS) + + +def test_multi_output_is_a_named_tuple(datasets): + handle = stream.MACD(datasets[0]['close']) + macd, macdsignal, macdhist = handle.value + assert (handle.value.macd, handle.value.macdsignal, handle.value.macdhist) \ + == (macd, macdsignal, macdhist) + + +def test_single_output_is_a_scalar(datasets): + assert isinstance(stream.SMA(datasets[0]['close']).value, float) + assert isinstance(stream.CDLDOJI(*series('CDLDOJI', datasets[0])).value, int) + + +def test_a_handle_takes_what_the_function_takes(datasets): + close = datasets[0]['close'] + for rejected in (list(close), close.astype(int), close.reshape(-1, 1)): + with pytest.raises((TypeError, Exception)): + stream.SMA(rejected) + + +def test_a_result_pickles(datasets): + import pandas as pd + import polars as pl + handle = stream.MACD(datasets[0]['close']) + assert pickle.loads(pickle.dumps(handle.value)) == handle.value + assert pickle.loads(pickle.dumps(handle.out_range)) == handle.out_range + with pytest.raises(Exception, match='Cannot mix polars and pandas'): + stream.MAVP.open_and_fill(pd.Series(datasets[0]['close']), + pl.Series(datasets[0]['periods'])) + + +def test_a_handle_does_not_pickle(datasets): + handle = stream.SMA(datasets[0]['close']) + with pytest.raises(TypeError): + pickle.dumps(handle) + assert copy.copy(handle).value == handle.value + assert copy.deepcopy(handle).value == handle.value + + +def test_update_rejects_a_non_finite_bar(datasets): + close = datasets[0]['close'] + handle = stream.SMA(close) + span = handle.out_range + for bar in (np.nan, np.inf, -np.inf): + with pytest.raises(Exception, match='Bad Parameter'): + handle.update(bar) + assert handle.value == talib.SMA(close)[-1] + assert handle.out_range == span + + +def test_insufficient_history_says_what_it_counted(datasets): + with pytest.raises(talib.InsufficientHistory, + match='29 bars of history, at least 30 needed'): + stream.SMA(datasets[0]['close'][:29], timeperiod=30) + + +def test_a_handle_takes_the_arguments_the_function_takes(datasets): + close = datasets[0]['close'] + assert stream.SMA(close, timeperiod=10).value == talib.SMA(close, timeperiod=10)[-1] + assert stream.SMA(close, 10).value == talib.SMA(close, 10)[-1] diff --git a/tests/test_stubs.py b/tests/test_stubs.py index 6c47e8d36..975a219ce 100644 --- a/tests/test_stubs.py +++ b/tests/test_stubs.py @@ -14,14 +14,15 @@ def _stub(name): # The stubs ship as package data beside py.typed, and nothing else in the build # reads them, so a broken one reaches every downstream type checker in silence. def test_stubs_parse(): - for name in ('_ta_lib.pyi', 'abstract.pyi'): + for name in ('_ta_lib.pyi', 'abstract.pyi', 'stream.pyi'): ast.parse(_stub(name), filename=name) def test_stubs_cover_every_function(): - stub = _stub('_ta_lib.pyi') - declared = {node.name for node in ast.parse(stub).body + declared = {node.name for node in ast.parse(_stub('_ta_lib.pyi')).body if isinstance(node, ast.FunctionDef)} + handles = {node.name for node in ast.parse(_stub('stream.pyi')).body + if isinstance(node, ast.ClassDef)} for name in talib.__TA_FUNCTION_NAMES__: assert name in declared, name - assert 'stream_%s' % name in declared, name + assert name in handles, name diff --git a/tools/generate_stream.py b/tools/generate_stream.py index 4688b94b9..d768655f8 100644 --- a/tools/generate_stream.py +++ b/tools/generate_stream.py @@ -4,11 +4,9 @@ from talib import abstract -# FIXME: initialize once, then shutdown at the end, rather than each call? -# FIXME: should we pass startIdx and endIdx into function? -# FIXME: don't return number of elements since it always equals allocation? +VERBS = ('OpenAndFill', 'Open', 'Update', 'Peek', 'Value', 'Clone', 'Close', + 'OutRange', 'Advance') -functions = [] if sys.platform == 'win32': include_dirs = [ r"c:\ta-lib\c\include", @@ -37,46 +35,30 @@ if not header_found: print('Error: ta-lib/ta_func.h not found', file=sys.stderr) sys.exit(1) + with open(ta_func_header) as f: - tmp = [] - for line in f: - if line.startswith('TA_LIB_API'): - line = line[10:] - line = line.strip() - if tmp or \ - line.startswith('TA_RetCode TA_') or \ - line.startswith('int TA_'): - line = re.sub(r'/\*[^\*]+\*/', '', line) # strip comments - tmp.append(line) - if not line: - s = ' '.join(tmp) - s = re.sub(r'\s+', ' ', s) - functions.append(s) - tmp = [] - -# strip "float" functions -functions = [s for s in functions if not s.startswith('TA_RetCode TA_S_')] - -# strip non-indicators -functions = [s for s in functions if not s.startswith('TA_RetCode TA_Set')] -functions = [s for s in functions if not s.startswith('TA_RetCode TA_Restore')] - -# strip TA-Lib C's own streaming API (ta-lib >= 0.8.1). Those declarations take -# an opaque TA__Stream handle, not the batch argument shape parsed below. -functions = [s for s in functions if '_Stream' not in s] - -# print headers -print("""\ -cimport numpy as np -from cython import boundscheck, wraparound -cimport _ta_lib as lib -from _ta_lib cimport TA_RetCode -# NOTE: _ta_check_success, NaN are defined in common.pxi + source = re.sub(r'/\*.*?\*/', '', f.read(), flags=re.S) + +# One entry per TA__ declaration; the argument lists never nest +# parentheses, so splitting on commas is enough. +declarations = {} +pattern = r'TA_LIB_API\s+TA_RetCode\s+TA_(\w+)_(%s)\s*\(([^;]*)\)\s*;' % '|'.join(VERBS) +for name, verb, args in re.findall(pattern, source): + args = [re.sub(r'\s+', ' ', a).strip() for a in args.split(',')] + declarations.setdefault(name, {})[verb] = args + +if not declarations: + print('Error: %s declares no streaming API; TA-Lib C 0.8.1 or later is required' + % ta_func_header, file=sys.stderr) + sys.exit(1) + +for name, decls in declarations.items(): + missing = [verb for verb in VERBS if verb not in decls] + if missing: + print('Error: TA_%s is missing %s' % (name, ', '.join(missing)), file=sys.stderr) + sys.exit(1) -np.import_array() # Initialize the NumPy C API -""") -# cleanup variable names to make them more pythonic def cleanup(name): if name.startswith('in'): return name[2:].lower() @@ -85,215 +67,422 @@ def cleanup(name): else: return name.lower() -# print functions -names = [] -for f in functions: - if 'Lookback' in f: # skip lookback functions - continue - - i = f.index('(') - name = f[:i].split()[1] - args = f[i:].split(',') - args = [re.sub(r'[\(\);]', '', s).strip() for s in args] - - shortname = name[3:] - names.append(shortname) - try: - func_info = abstract.Function(shortname).info - defaults, documentation = abstract._get_defaults_and_docs(func_info) - except: - print("cannot find defaults and docs for", shortname, file=sys.stderr) - defaults, documentation = {}, "" - - print('@wraparound(False) # turn off relative indexing from end of lists') - print('@boundscheck(False) # turn off bounds-checking for entire function') - print('def stream_%s(' % shortname, end=' ') - docs = [' %s(' % shortname] - i = 0 - for arg in args: - var = arg.split()[-1] - if var in ('startIdx', 'endIdx'): +def split_arg(arg): + """'const double inReal[]' -> ('const double', 'inReal', 0, True)""" + array = arg.endswith('[]') + if array: + arg = arg[:-2] + ctype, _, var = arg.rpartition(' ') + stars = len(var) - len(var.lstrip('*')) + return ctype.strip(), var[stars:], stars, array + + +def declare(name, decls): + yield ' ctypedef struct TA_%s_Stream:' % name + yield ' pass' + for verb in VERBS: + args = [] + for arg in decls[verb]: + ctype, var, stars, array = split_arg(arg) + args.append('%s%s %s' % (ctype, '*' * (stars + array), var)) + yield ' TA_RetCode TA_%s_%s(%s)' % (name, verb, ', '.join(args)) + + +def parse(name, decls, defaults, output_names): + open_args = decls['Open'] + history = open_args.index('int historyLen') + inputs, params, outputs = [], [], [] + for arg in open_args[1:history]: + ctype, var, stars, array = split_arg(arg) + assert (ctype, array) == ('const double', True), arg + inputs.append(cleanup(var)) + for arg in open_args[history + 1:]: + ctype, var, stars, array = split_arg(arg) + if var.startswith('out'): + spelled = (output_names[len(outputs)] if output_names + else cleanup(var)[len('out'):]) + outputs.append((ctype, 'out%s' % spelled)) continue + key = var[len('optIn'):] + key = key[0].lower() + key[1:] + if ctype == 'double': + default = defaults.get(key, '-4e37') # TA_REAL_DEFAULT + elif ctype == 'int': + default = defaults.get(key, '-2**31') # TA_INTEGER_DEFAULT + else: + assert ctype == 'TA_MAType', arg + # abstract lowercases the whole name, and a prefixed one (KDJ's + # slowk_matype) is not spelled 'matype'. + default = defaults.get(key.lower(), 11) # TA_MAType_DEFAULT + params.append(('double' if ctype == 'double' else 'int', + cleanup(var), default)) + assert output_names is None or len(outputs) == len(output_names), name + return {'name': name, 'inputs': inputs, 'params': params, 'outputs': outputs} + + +PREAMBLE = '''\ +cimport cython +cimport numpy as np +import numpy +from collections import namedtuple - elif 'out' in var: - break - - if i > 0: - print(',', end=' ') - i += 1 - - if var.endswith('[]'): - var = cleanup(var[:-2]) - assert arg.startswith('const double'), arg - print('np.ndarray %s not None' % var, end=' ') - docs.append(var) - docs.append(', ') - - elif var.startswith('opt'): - var = cleanup(var) - default_arg = arg.split()[-1][len('optIn'):] # chop off typedef and 'optIn' - default_arg = default_arg[0].lower() + default_arg[1:] # lowercase first letter - - if arg.startswith('double'): - if default_arg in defaults: - print('double %s=%s' % (var, defaults[default_arg]), end=' ') - else: - print('double %s=-4e37' % var, end=' ') # TA_REAL_DEFAULT - elif arg.startswith('int'): - if default_arg in defaults: - print('int %s=%s' % (var, defaults[default_arg]), end=' ') - else: - print('int %s=-2**31' % var, end=' ') # TA_INTEGER_DEFAULT - elif arg.startswith('TA_MAType'): - # abstract lowercases the whole name, and a prefixed one (KDJ's - # slowk_matype) is not spelled 'matype'. - print('int %s=%s' % (var, defaults.get(default_arg.lower(), 11)), end=' ') # TA_MAType_DEFAULT - else: - assert False, arg - if '[, ' not in docs: - docs[-1] = ('[, ') - docs.append('%s=?' % var) - docs.append(', ') +cimport _ta_lib as lib +from _ta_lib cimport TA_RetCode, TA_MAType, TA_BAD_PARAM +# NOTE: _ta_check_success and InsufficientHistory come from _common.pxi, +# check_array / make_*_array from _func.pxi, and __PANDAS_SERIES / +# __POLARS_SERIES from _abstract.pxi. +np.import_array() # Initialize the NumPy C API +''' + +ARRAYS = '''\ +cdef np.npy_intp check_length(tuple arrays) except -1: + cdef np.npy_intp length = (arrays[0]).shape[0] + for other in arrays[1:]: + if length != (other).shape[0]: + raise Exception("input array lengths are different") + return length + + +cdef int check_begidx(np.npy_intp length, tuple arrays) except -2: + """The first bar that is not NaN in any input, as the batch tier reads it.""" + cdef double* data[8] + cdef np.npy_intp i + cdef int k, count = len(arrays) + if count > 8: + raise Exception("too many input arrays") + for k in range(count): + data[k] = (arrays[k]).data + for i in range(length): + for k in range(count): + if data[k][i] != data[k][i]: + break + else: + return i + return length - 1 + + +''' + +HELPERS = '''\ +OutRange = namedtuple("OutRange", "begidx nbelement", module=__name__) + + +cdef np.ndarray _stream_input(object values): + """What the Function API accepts, through the same checks.""" + if isinstance(values, np.ndarray): + return check_array(values) + for series in (__PANDAS_SERIES, __POLARS_SERIES): + if series is not None and isinstance(values, series): + return check_array(values.to_numpy().astype(float)) + raise TypeError("input must be a numpy array or a pandas or polars Series, " + "not %s" % type(values).__name__) + + +cdef int _stream_history(np.npy_intp length, int begidx) except -1: + if begidx < 0: + raise InsufficientHistory("no history: the input array is empty") + return (length - begidx) + + +cdef _stream_open_failed(str function_name, TA_RetCode retCode, int historylen, int need): + if retCode == 17: + if need <= historylen: + need = historylen + 1 # a seeding that wants more than the lookback + raise InsufficientHistory( + "%s: %d bars of history, at least %d needed (a leading bar that is " + "NaN in any input is not history)" % (function_name, historylen, need)) + _ta_check_success(function_name, retCode) + + +cdef _stream_like(tuple sources, object result): + pandas = [s for s in sources + if __PANDAS_SERIES is not None and isinstance(s, __PANDAS_SERIES)] + polars = [s for s in sources + if __POLARS_SERIES is not None and isinstance(s, __POLARS_SERIES)] + if pandas and polars: + raise Exception("Cannot mix polars and pandas") + if pandas: + return __PANDAS_SERIES(result, index=pandas[0].index) + if polars: + return __POLARS_SERIES(result) + return result + + +cdef class Stream: + """Base class of every talib.stream handle. + + Carries what does not depend on the function: the opaque C handle, and the + offset of the first history bar the batch tier would have used.""" + cdef void* _handle + cdef int _begidx + cdef object __weakref__ + + def __cinit__(self): + self._handle = NULL + + cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement): + return TA_BAD_PARAM + + cdef TA_RetCode _advance(self): + return TA_BAD_PARAM + + @property + def out_range(self): + cdef int outbegidx + cdef int outnbelement + cdef TA_RetCode retCode = self._out_range(&outbegidx, &outnbelement) + if retCode != 0: + _ta_check_success("%s.out_range" % type(self).__name__, retCode) + return OutRange(outbegidx + self._begidx, outnbelement) + + @cython.binding(False) + def advance(self): + cdef TA_RetCode retCode = self._advance() + if retCode != 0: + _ta_check_success("%s.advance" % type(self).__name__, retCode) + + def __copy__(self): + return self.copy() + + def __deepcopy__(self, memo): + return self.copy() + + def __reduce__(self): + raise TypeError( + "cannot pickle %s: a stream handle points into the TA-Lib C library, " + "and does not cross a process boundary" % type(self).__name__) +''' + + +def emit(func, docstring): + name, inputs = func['name'], func['inputs'] + params, outputs = func['params'], func['outputs'] + handle, cls = 'TA_%s_Stream' % name, '%s_Stream' % name + arguments = inputs + ['%s %s=%s' % p for p in params] + out_ptrs = ['&%s' % py for _, py in outputs] + # An index output counts from the first bar the stream opened on; the batch + # tier reports it in the caller's coordinates, so shift it back the same way. + shift = ' + self._begidx' if 'INDEX' in name else '' + value = (outputs[0][1] + shift if len(outputs) == 1 else '%s_Value(%s)' % ( + name, ', '.join(py + shift for _, py in outputs))) + live = '<%s*>self._handle' % handle + lookback_args = ', '.join(py for _, py, _ in params) + out = [] + + def call(verb, *args): + return 'TA_%s_%s(%s)' % (name, verb, ', '.join(args)) + + def emit_call(verb, *args): + out.append(' cdef TA_RetCode retCode = %s' % call(verb, *args)) + out.append(' if retCode != 0:') + out.append(' _ta_check_success("TA_%s_%s", retCode)' % (name, verb)) + + def emit_history(): + """Read the inputs as the batch tier does: leading bars that are NaN in + any input are not history, and the stream opens past them.""" + for py in inputs: + out.append(' cdef np.ndarray a_%s = _stream_input(%s)' % (py, py)) + out.append(' cdef tuple arrays = (%s,)' + % ', '.join('a_%s' % py for py in inputs)) + out.append(' cdef np.npy_intp length = check_length(arrays)') + out.append(' cdef int begidx = check_begidx(length, arrays)') + out.append(' cdef int historylen = _stream_history(length, begidx)') + + def opened(*tail): + return (['&handle'] + ['a_%s.data + begidx' % py for py in inputs] + + ['historylen'] + [py for _, py, _ in params] + list(tail)) + + if len(outputs) > 1: + out.append('%s_Value = namedtuple("%s_Value", "%s", module=__name__)\n' + % (name, name, ' '.join(py[3:] for _, py in outputs))) + out.append('cdef class %s(Stream):' % cls) + out.append(' """%s"""' % docstring) + out.append('') + out.append(' def __dealloc__(self):') + out.append(' if self._handle is not NULL:') + out.append(' %s' % call('Close', live)) + out.append(' self._handle = NULL') + out.append('') + out.append(' def __init__(self, %s):' % ', '.join(arguments)) + emit_history() + out.append(' cdef %s* handle = NULL' % handle) + out.extend(' cdef %s %s' % o for o in outputs) + out.append(' cdef TA_RetCode retCode = %s' % call('Open', *opened(*out_ptrs))) + out.append(' if retCode != 0:') + out.append(' _stream_open_failed("TA_%s_Open", retCode, historylen, ' + 'lib.TA_%s_Lookback(%s) + 1)' % (name, name, lookback_args)) + out.append(' if self._handle is not NULL:') + out.append(' %s' % call('Close', live)) + out.append(' self._handle = handle') + out.append(' self._begidx = begidx') + out.append('') + out.append(' @staticmethod') + out.append(' def open_and_fill(%s):' % ', '.join(arguments)) + emit_history() + out.append(' cdef int lookback = begidx + lib.TA_%s_Lookback(%s)' + % (name, lookback_args)) + out.extend(' cdef np.ndarray %s = make_%s_array(length, lookback)' % (py, ctype) + for ctype, py in outputs) + out.append(' cdef int outbegidx') + out.append(' cdef int outnbelement') + out.append(' cdef %s* handle = NULL' % handle) + out.append(' cdef TA_RetCode retCode = %s' % call('OpenAndFill', *opened( + '&outbegidx', '&outnbelement', + *['<%s*>%s.data + lookback' % o for o in outputs]))) + out.append(' if retCode != 0:') + out.append(' _stream_open_failed("TA_%s_OpenAndFill", retCode, historylen, ' + 'lookback - begidx + 1)' % name) + if shift: + out.append(' cdef np.npy_intp i') + for ctype, py in outputs: + out.append(' cdef %s* %s_data = <%s*>%s.data' % (ctype, py, ctype, py)) + out.append(' for i in range(lookback, length):') + out.append(' %s_data[i] += begidx' % py) + out.append(' cdef %s stream = %s.__new__(%s)' % (cls, cls, cls)) + out.append(' stream._handle = handle') + out.append(' stream._begidx = begidx') + filled = ['_stream_like((%s,), %s)' % (', '.join(inputs), py) for _, py in outputs] + out.append(' return stream, %s' % ( + filled[0] if len(outputs) == 1 + else '%s_Value(%s)' % (name, ', '.join(filled)))) + for verb in ('Update', 'Peek'): + out.append('') + out.append(' @cython.binding(False)') + out.append(' def %s(self, %s):' + % (verb.lower(), ', '.join('double %s' % py for py in inputs))) + out.extend(' cdef %s %s' % o for o in outputs) + emit_call(verb, *([live] + inputs + out_ptrs)) + out.append(' return %s' % value) + out.append('') + out.append(' @property') + out.append(' def value(self):') + out.extend(' cdef %s %s' % o for o in outputs) + emit_call('Value', *([live] + out_ptrs)) + out.append(' return %s' % value) + out.append('') + out.append(' cdef TA_RetCode _out_range(self, int* outbegidx, int* outnbelement):') + out.append(' return %s' % call('OutRange', live, 'outbegidx', 'outnbelement')) + out.append('') + out.append(' cdef TA_RetCode _advance(self):') + out.append(' return %s' % call('Advance', live)) + out.append('') + out.append(' @cython.binding(False)') + out.append(' def copy(self):') + out.append(' cdef %s* clone = NULL' % handle) + out.append(' cdef TA_RetCode retCode = %s' % call('Clone', live, '&clone')) + out.append(' if retCode != 0:') + out.append(' _ta_check_success("TA_%s_Clone", retCode)' % name) + out.append(' cdef %s stream = %s.__new__(type(self))' % (cls, cls)) + out.append(' stream._handle = clone') + out.append(' stream._begidx = self._begidx') + out.append(' return stream') + return '\n'.join(out) + + +STUB = '''\ +from typing import NamedTuple, Tuple + +import numpy as np +from numpy.typing import NDArray + + +class OutRange(NamedTuple): + begidx: int + nbelement: int + + +class Stream: + @property + def out_range(self) -> OutRange: ... + def advance(self) -> None: ... +''' + + +def emit_stub(func, documented): + """The talib/stream.pyi entry, defaults spelled as the documentation does.""" + name, inputs, params, outputs = (func['name'], func['inputs'], + func['params'], func['outputs']) + args = ', '.join(['%s: NDArray[np.float64]' % py for py in inputs] + + ['%s: %s = %r' % (py, 'float' if ctype == 'double' else 'int', + documented[py]) for ctype, py, _ in params]) + scalars = ['float' if ctype == 'double' else 'int' for ctype, _ in outputs] + arrays = ['NDArray[np.float64]' if ctype == 'double' else 'NDArray[np.int32]' + for ctype, _ in outputs] + out = [] + if len(outputs) > 1: + out.append('class %s_Value(NamedTuple):' % name) + out.extend(' %s: %s' % (py[3:], t) for (_, py), t in zip(outputs, scalars)) + out.append('') + value, filled = '%s_Value' % name, 'Tuple[%s]' % ', '.join(arrays) + else: + value, filled = scalars[0], arrays[0] + bars = ', '.join('%s: float' % py for py in inputs) + out.append('class %s(Stream):' % name) + out.append(' def __init__(self, %s) -> None: ...' % args) + out.append(' @staticmethod') + out.append(' def open_and_fill(%s) -> Tuple["%s", %s]: ...' % (args, name, filled)) + out.append(' def update(self, %s) -> %s: ...' % (bars, value)) + out.append(' def peek(self, %s) -> %s: ...' % (bars, value)) + out.append(' @property') + out.append(' def value(self) -> %s: ...' % value) + out.append(' def copy(self) -> "%s": ...' % name) + return '\n'.join(out) + + +def docstring_for(func, documentation): + """The batch function's docstring, verbatim: same call, same defaults.""" + docs = [' %s(' % func['name']] + for py in func['inputs']: + docs.append(py) + docs.append(', ') + for _, py, _ in func['params']: + if '[, ' not in docs: + docs[-1] = '[, ' + docs.append('%s=?' % py) + docs.append(', ') docs[-1] = '])' if '[, ' in docs else ')' if documentation: - tmp_docs = [] - lower_case = False - documentation = documentation.split('\n')[2:] # discard abstract calling definition - for line in documentation: + lines = [] + for line in documentation.split('\n')[2:]: # discard the calling definition line = line.replace('Substraction', 'Subtraction') if 'prices' not in line and 'price' in line: line = line.replace('price', 'real') - if not line or line.isspace(): - tmp_docs.append('') - else: - tmp_docs.append(' %s' % line) # add an indent of 4 spaces + lines.append('' if not line or line.isspace() else ' %s' % line) docs.append('\n\n') - docs.append('\n'.join(tmp_docs)) + docs.append('\n'.join(lines)) docs.append('\n ') - print('):') - print(' """%s"""' % ''.join(docs)) - print(' cdef:') - print(' np.npy_intp length') - print(' TA_RetCode retCode') - for arg in args: - var = arg.split()[-1] - if 'out' in var: - break - if var.endswith('[]'): - var = cleanup(var[:-2]) - if 'double' in arg: - print(' double* %s_data' % var) - elif 'int' in arg: - print(' int* %s_data' % var) - else: - assert False, args - - for arg in args: - var = arg.split()[-1] - if 'out' not in var: - continue - if var.endswith('[]'): - var = cleanup(var[:-2]) - if 'double' in arg: - print(' double %s' % var) - elif 'int' in arg: - print(' int %s' % var) - else: - assert False, args - elif var.startswith('*'): - var = cleanup(var[1:]) - print(' int %s' % var) - else: - assert False, arg - - for arg in args: - var = arg.split()[-1] - if 'out' in var: - break - if var.endswith('[]'): - var = cleanup(var[:-2]) - if 'double' in arg: - cast = '' - else: - assert False, arg - print(' %s = check_array(%s)' % (var, var)) - print(' %s_data = %s%s.data' % (var, cast, var)) - - # check all input array lengths are the same - inputs = [] - for arg in args: - var = arg.split()[-1] - if 'out' in var: - break - if var.endswith('[]'): - var = cleanup(var[:-2]) - inputs.append(var) - - if len(inputs) == 1: - print(' length = %s.shape[0]' % inputs[0]) - else: - print(' length = check_length%s(%s)' % (len(inputs), ', '.join(inputs))) - - for arg in args: - var = arg.split()[-1] - - if 'out' not in var: - continue - - if var.endswith('[]'): - var = cleanup(var[:-2]) - if 'double' in arg: - print(' %s = NaN' % var) - elif 'int' in arg: - print(' %s = 0' % var) - else: - assert False, args - - print(' retCode = lib.%s(' % name, end=' ') - - for i, arg in enumerate(args): - if i > 0: - print(',', end=' ') - var = arg.split()[-1] + return ''.join(docs) - if var.endswith('[]'): - var = cleanup(var[:-2]) - if 'out' in var: - print('&%s' % var, end=' ') - else: - print('%s_data' % var, end=' ') - elif var.startswith('*'): - var = cleanup(var[1:]) - print('&%s' % var, end=' ') +stub = '--stub' in sys.argv - elif var in ('startIdx', 'endIdx'): - print('(length) - 1', end= ' ') - - else: - cleaned = cleanup(var) - print(cleaned, end=' ') - - print(')') - print(' _ta_check_success("%s", retCode)' % name) - print(' return ', end='') - i = 0 - for arg in args: - var = arg.split()[-1] - if var.endswith('[]'): - var = var[:-2] - elif var.startswith('*'): - var = var[1:] - if var.startswith('out'): - if var not in ("outNBElement", "outBegIdx"): - if i > 0: - print(',', end=' ') - i += 1 - print(cleanup(var), end=' ') - else: - assert re.match('.*(void|startIdx|endIdx|opt|in)/*', arg), arg - print('') - print('') +if not stub: + print(PREAMBLE) + print('cdef extern from "ta-lib/ta_func.h":') + for name in sorted(declarations): + print() + for line in declare(name, declarations[name]): + print(line) + print() + print(ARRAYS) + print(HELPERS) +else: + print(STUB) +for name in sorted(declarations): + try: + info = abstract.Function(name).info + defaults, documentation = abstract._get_defaults_and_docs(info) + except Exception: + print("cannot find defaults and docs for", name, file=sys.stderr) + info = {'output_names': None, 'parameters': {}} + defaults, documentation = {}, "" + func = parse(name, declarations[name], defaults, info['output_names']) + print() + if stub: + print(emit_stub(func, info['parameters'])) + else: + print(emit(func, docstring_for(func, documentation))) + print()