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OpenPineScript 🚀

OpenPineScript is a high-speed, local engine built to run your trading scripts anywhere. No cloud limits, no proprietary walls—just pure execution on your own hardware.

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🌟 Why OpenPineScript?

• ⚡ Local-First Speed: Built for modern, high-performance CPUs. Run backtests in seconds, not minutes.
• 🔓 Total Freedom: Execute your logic in an open environment. Your strategies stay on your machine.
• 🛠 Rock Solid: Over 5,000+ mathematical stress tests passed, ensuring your calculations are 100% accurate.
• 📦 Zero Bloat: A modular, lightweight engine that runs wherever Node.js lives.

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📍 Current Status: v2 (Beta) is LIVE!

We have successfully built the core engine for v2. You can currently:

• Convert scripts into lightning-fast JavaScript.
• Run an interactive terminal (REPL) to test logic on the fly.
• Execute complex Technical Analysis (TA) functions with mathematically perfect lookback logic.

⏭ Next Milestones:

1. Full v2 Optimization: Hardening the current beta for production use.
2. v3 Compatibility: Expanding the engine to support the next generation of script logic.
3. UI Integration: Bringing the engine to a visual charting interface.

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🚀 Getting Started

1. Prerequisites

Make sure you have Node.js 20+ installed.

2. Setup

# Clone the repository
git clone https://github.com/be-thomas/OpenPineScript.git
cd OpenPineScript

# Install dependencies
npm install

3. Try the Interactive Terminal

Test your logic instantly without writing a full file:

npm run replv2

Example session:

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💻 CLI Usage (opsv2)

Run a Pine Script against a local CSV data file:

npm run opsv2 -- <script.pine> --data <data.csv> [flags]

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🔍 Discover script inputs (--dry-run)

Use --dry-run to execute a single bar and discover all input() variables without running a full backtest. The output is a strict JSON document on stdout, ready to pipe into other tools.

npm run opsv2 -- strategy.pine --data data.csv --dry-run 2>/dev/null

{
  "script": "strategy.pine",
  "bars_processed": 1,
  "inputs": [
    { "id": "input_0", "title": "Fast Length", "type": "integer", "default": 9,  "current": 9,  "overridden": false },
    { "id": "input_1", "title": "Slow Length", "type": "integer", "default": 21, "current": 21, "overridden": false }
  ],
  "performance": null
}

This makes it trivial to pipe into other tools:

# Extract just the inputs for a UI to render
npm run opsv2 -- strategy.pine --data data.csv --dry-run 2>/dev/null | jq '.inputs'

# Feed straight into a Python optimizer
npm run opsv2 -- strategy.pine --data data.csv --dry-run 2>/dev/null | python3 optimizer.py

Override inputs on the next run with --input:

npm run opsv2 -- strategy.pine --data data.csv \
  --input input_0=20 --input input_1=50 \
  --out-dir ./results

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📁 Export results to a folder

npm run opsv2 -- strategy.pine --data data.csv --out-dir ./results

  Compiling: strategy.pine...
  Running backtest: 506 bars...
+ ✔ Done.
+ ✔ Chart    → ./results/chart.csv
+ ✔ Trades   → ./results/trades.csv  (38 trades)
+ ✔ Summary  → ./results/summary.json

results/
├── chart.csv       ← OHLCV + one column per plot()
├── trades.csv      ← Entry & exit rows for every trade
└── summary.json    ← Full performance metrics

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🔬 Validate against a TradingView export

Point --compare-dir at a folder containing your TradingView CSV exports:

npm run opsv2 -- strategy.pine --data data.csv \
  --out-dir ./results \
  --compare-dir ./tv_exports

tv_exports/          ← your TradingView exports go here
├── chart_data.csv
├── trades.csv
└── summary.json

results/             ← opsv2 writes its output + the report here
├── chart.csv
├── trades.csv
├── summary.json
└── comparison_report.json

When all outputs match TradingView:

  === Comparison Report ===
  Overall: PASS    Tolerance: 0.0001

+ Chart Data: PASS  (506 rows compared, 0 mismatches, max Δ 2.9e-5)
+ Trades:     PASS  (38 tv / 38 opsv2)
+ Summary:    PASS  (net profit Δ 0.0000%)

+ Report written: ./results/comparison_report.json

When there is a discrepancy:

  === Comparison Report ===
  Overall: PARTIAL    Tolerance: 0.0001

+ Chart Data: PASS  (506 rows compared, 0 mismatches)
- Trades:     FAIL  (38 tv / 37 opsv2 — 1 discrepancy)
-   Trade #42: exit_price_mismatch  tv=45000.5000  opsv2=45001.0000  Δ=0.5
+ Summary:    PASS  (net profit Δ 0.05%)

  Report written: ./results/comparison_report.json

For granular flags (--out-chart, --out-trades, --compare-chart, --tolerance, etc.) see the full CLI Usage Guide.

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🧪 Proven Accuracy

We don't guess; we test. The engine has passed extensive stress tests, including:

• Variable Lookbacks: Stable and oscillating lengths (5,000+ iterations).
• End-to-End Backtests: Verified against real-world SMA crossover strategies.
• TA Engine Integrity: Mathematically perfect reference implementation checks.

To run the suite yourself:

npm test

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🗺️ Project Roadmap

📍 Current Phase: V2 Core Completion (95%)

We are in the "Last Mile" of the Pine Script v2 implementation. Our focus is on mathematical parity with TradingView.

• Foundation: Lexer/Parser for v2 grammar.
• Core Math: Implementation of sma, ema, rsi, and macd.
• Final 5%: * [ ] Refined security() function logic for multi-timeframe data.
• Implicit variable reassignment edge cases (The := behavior in v2).
• Support for fill() and basic plotshape() constants.

🔜 Next: Validation & Tooling (Q2 2026)

• The Ground Truth Suite: Automated comparison engine to test OpenPineScript outputs against TradingView CSV exports.
• CSV Exporting: Native capability to dump indicator results to CSV for external analysis.
• CLI Backtester: An interactive shell to test Pine v2 snippets instantly.
• UI based charting support A UI for running pinescript code so we can compare it side-by-side with tradingview!
• Support for running OpenPinescript in Python
• Version 3 Migration: Adding support for the //@version=3 syntax.

🔭 Future Horizons (Late Q2 2026)

• Version 4 Migration: Adding support for the //@version=4 syntax.

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📂 Repository Architecture

• grammar/ — The AST and Lexer (The DNA of the engine).
• transpiler/ — Logic that converts Pine into high-performance executable code.
• tests/ — Comprehensive test suites to ensure zero logic-drift.
• validation/ — [NEW] Real-world scripts and CSVs used for "Ground Truth" testing.

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🤝 Community & Support

OpenPineScript is built by a solo developer with a passion for craftsmanship.

• Found a bug? Open an Issue.
• Have an idea? Start a Discussion.
• Want to help? Check out CONTRIBUTING.md.
• Code of Conduct
• Security Policy

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⚠️ Technical Limitations (By Design)

Unlike the TradingView cloud environment, OpenPineScript is a local-first engine. We have intentionally deviated from standard Pine Script limits to allow for high-performance research:

• No Loop Timeouts: We do not enforce the 500ms loop limit. Your local CPU can handle complex iterative logic that would normally crash a TradingView chart.
• Infinite Plotting: The 64-plot limit is removed. You can generate hundreds of data streams for deep analysis.
• Deep Historical Buffer: We bypass the 5,000-bar max_bars_back limit. Your lookback depth is limited only by your system's RAM.
• AST-Based Compilation: We do not use "tokens." Even massive 10,000+ line scripts will compile as long as they follow the v2 grammar.

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What's next?

You are sitting on a very cool piece of tech—a local Pine v2 engine is rare. Would you like me to help you draft the specific "Ground Truth" comparison script? (Basically a small script that reads your engine's output and the TradingView CSV to tell you exactly where the numbers differ).

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⚖️ License

GNU GPL-3.0. Built for the community, owned by the community.

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