pinescript-mastery

What This Skill Does

Pine Script Mastery transforms your AI agent into a senior-level quantitative trading developer, capable of building production-grade scripts for the TradingView platform. Unlike basic code generators, this skill encompasses the entire trading system lifecycle: architectural planning, signal logic design, risk management implementation, and performance optimization. It supports both Pine Script v5 and the latest v6 specifications, including advanced features like dynamic request.*() calls, strictly typed boolean logic, and enhanced library structures introduced in 2025. Whether you need a custom technical indicator to visualize market flow or a fully automated backtesting strategy with complex position sizing and drawdown controls, this skill ensures the output is professional, efficient, and publication-ready.

Installation

To integrate this specialized developer capability, execute the following command in your terminal or agent console: clawhub install openclaw/skills/skills/alradyin/pinescript-mastery

Use Cases

• Algorithm Prototyping: Rapidly convert high-level trading ideas into functional Pine Script backtesting models.
• Indicator Development: Create custom overlays, oscillators, and market scanners with clean, optimized code.
• Strategy Optimization: Audit existing code to prevent overfitting, improve execution speed, and refine exit strategies (SL/TP, Trailing stops).
• Educational Support: Learn Pine Script syntax, debugging, and best practices through step-by-step guidance.
• TradingView Publishing: Ensure your scripts follow strict coding standards, documentation requirements, and visual UI/UX best practices for public library submission.

Example Prompts

1. "Build a trend-following strategy using a custom Hull Moving Average crossover, include an ATR-based trailing stop, and add a dashboard to show current win-rate and drawdown metrics."
2. "I have this v4 script that is giving me calculation errors in v5. Can you help me debug the request.security() calls and optimize it for the new v6 execution model?"
3. "Convert this Python-based mean reversion algorithm into a robust Pine Script strategy. It needs to account for market sessions and only execute trades during high-volume periods."

Tips & Limitations

• Information completeness: For the best strategy results, provide clear entry/exit logic and risk management rules before coding begins.
• Version Control: Always specify if you require v6 features; otherwise, the agent will default to v5 for maximum compatibility.
• Risk Warning: Remember that Pine Script models are simulations. Always perform thorough manual review and paper trading before deploying any strategy with real capital.