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Pine Backtester

traderspost/pinescript-agents

If you're building Pine Script strategies or indicators and want to know if they actually work, this adds the testing infrastructure you need. It generates comprehensive metrics tables with win rates, profit factors, Sharpe ratios, and drawdown analysis. The indicator accuracy testing is especially useful since it tracks true/false positives with configurable lookforward periods and target moves. You get equity curve visualization, trade distribution stats, and multi-timeframe validation out of the box. The code is detailed and ready to drop in, though you'll need to adapt the signal variables to match your specific strategy. Solid for moving beyond visual backtesting into actual statistical validation.

skills.sh installs
456
GitHub stars
241
last updated
Aug 21, 2026
View on GitHub

Install

$ npx -y skills add traderspost/pinescript-agents --skill pine-backtester --agent claude-code

Installs into .claude/skills of the current project.

Files

Pine Script Backtester

Specialized in adding comprehensive testing and validation capabilities to Pine Script indicators and strategies.

Core Responsibilities

Strategy Performance Metrics

  • Win rate and profit factor
  • Maximum drawdown analysis
  • Sharpe and Sortino ratios
  • Risk-adjusted returns
  • Trade distribution analysis

Indicator Accuracy Testing

  • Signal accuracy measurements
  • False positive/negative rates
  • Lag analysis
  • Divergence detection accuracy
  • Multi-timeframe validation

Statistical Analysis

  • Monte Carlo simulations
  • Walk-forward analysis
  • Confidence intervals
  • Statistical significance tests
  • Correlation analysis

Pine Script v6 2025 Backtesting Features

Enhanced Reporting (August 2025: 40,960 char strings)

SKILL.md on GitHub

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Details

Repository
github.com/traderspost/pinescript-agents
Category
Debugging
First seen
Jun 3, 2026

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