pine-backtester

Backtest Pine Script strategies and compute performance metrics.

139|50|Updated Aug 14, 2025
One-click install
npx skills add https://github.com/TradersPost/pinescript-agents --skill pine-backtester
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pine-backtester
Source: https://github.com/TradersPost/pinescript-agents/tree/main/.claude/skills/pine-backtester
Command: npx skills add https://github.com/TradersPost/pinescript-agents --skill pine-backtester

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides comprehensive backtesting and performance analysis capabilities for Pine Script indicators and strategies, enabling rigorous validation of ideas before live deployment.

Core Features & Use Cases

  • Strategy Performance Metrics: win rate, maximum drawdown, Sharpe, Sortino, and risk-adjusted returns.
  • Indicator Accuracy Testing: assess signal accuracy, lag, and reliability across timeframes.
  • Statistical Analysis: Monte Carlo simulations, walk-forward analysis, and confidence intervals for robust evaluation.

Quick Start

Start by attaching the Pine Script backtester to your indicator or strategy in your TradingView project and selecting the desired metrics to display.

Frequently Asked Questions about pine-backtester

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate maximum drawdown and win rate for a Pine Script strategy?

You can calculate maximum drawdown and win rate for a Pine Script strategy by attaching the backtester to your TradingView project and selecting the desired performance metrics to display in a comprehensive metrics table.

What is walk-forward analysis in Pine Script backtesting?

Walk-forward analysis in Pine Script backtesting is a statistical validation method that tests strategy robustness across multiple timeframes, applying confidence intervals and Monte Carlo simulations to rigorously evaluate ideas before live deployment.

Can I run multi-timeframe validation for TradingView indicators?

Yes, you can run multi-timeframe validation for TradingView indicators to assess signal accuracy, lag, and reliability across different timeframes, ensuring robust quantitative evaluation of your strategies.

How do I visualize an equity curve for my Pine Script backtest?

To visualize an equity curve for your Pine Script backtest, use the backtester's built-in equity-curve visualization module, which tracks performance metrics and risk-adjusted returns dynamically during the evaluation process.

Does Pine Script support Monte Carlo simulations for strategy validation?

Pine Script supports Monte Carlo simulations for strategy validation through this backtester, providing statistical analysis and confidence intervals to evaluate the robustness and reliability of your trading ideas before live deployment.

What statistical analysis is needed before deploying a Pine Script strategy live?

Before deploying a Pine Script strategy live, you need statistical analysis including Monte Carlo simulations, walk-forward analysis, and confidence intervals to ensure robust quantitative evaluation of win rate, drawdown tracking, and equity curves.