pinescript-quant-analysis

What This Skill Does

The pinescript-quant-analysis skill provides a robust bridge between TradingView's Pine Script ecosystem and modern JavaScript/TypeScript development environments. By leveraging PineTS, it enables LLM agents to execute native Pine Script v5/v6 code outside of a browser tab, allowing for headless quantitative analysis. The skill facilitates a complete pipeline: parsing logic, calculating technical indicators (like EMA, RSI, MACD, or custom strategies) against any OHLCV data source, extracting the resulting numeric series, and optionally rendering professional-grade financial charts using QFChart. This empowers developers to transition from simple script prototyping to automated trading signal generation and high-performance financial data visualization.

Installation

To integrate this skill into your OpenClaw agent environment, use the provided ClawHub command: clawhub install openclaw/skills/skills/alaa-eddine/pinescript-quant-analysis

Ensure your project environment has the necessary dependencies installed for execution and visualization: npm install pinets @qfo/qfchart

Use Cases

• Automated Trading Bots: Compute indicators on-the-fly and generate buy/sell signals based on custom Pine Script logic.
• Quantitative Research: Backtest technical indicators across thousands of historical OHLCV data points with millisecond performance.
• Custom Dashboards: Build browser-based financial interfaces that display live market data with overlays driven by complex indicator calculations.
• Algorithmic Alerts: Program agents to monitor multiple assets simultaneously and trigger notifications when specific technical conditions are met.

Example Prompts

1. "Analyze the last 500 hours of ETH/USDT data using a 20/50 EMA crossover strategy and tell me if the latest candle triggered a buy signal."
2. "Create a Pine Script for a Triple RSI filter, run it against the current BTC/USDT price data, and export the resulting plot values to a JSON file."
3. "Visualize the last 30 days of SPY price action using QFChart, adding an overlay for the VWAP indicator calculated via PineTS."

Tips & Limitations

• Efficiency: While PineTS is highly efficient, avoid running extremely complex iterative loops within the script on massive datasets to maintain agent responsiveness.
• Data Integrity: Ensure your OHLCV input data is cleaned and sorted by time, as Pine Script functions are time-sensitive.
• Versioning: Always verify your script version matches the environment (v5/v6) for full compatibility.
• Sandboxing: While code execution is handled by PineTS, ensure any external data feeds attached to the provider are from trusted sources to maintain financial data accuracy.