pine-backtester

Name: pine-backtester
Availability: InStock
Author: ainell-owi

Evaluate Pine Script strategies with backtesting metrics and statistical validation.

Updated Apr 2, 2026

Search Tags:#backtesting #risk-analysis #pine-script #walk-forward #performance-metrics #equity-curve #backtester

Ready to run

npx skills add https://github.com/ainell-owi/LePine --skill pine-backtester-ainell-owi

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pine-backtester
Source: https://github.com/ainell-owi/LePine/tree/main/GH%20PINE%20REPOS/pinescript-agents/.claude/skills/pine-backtester
Command: npx skills add https://github.com/ainell-owi/LePine --skill pine-backtester-ainell-owi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a comprehensive toolkit to evaluate Pine Script indicators and strategies by generating robust performance metrics and risk analytics, removing guesswork from strategy validation.

Core Features & Use Cases

Backtesting metrics: win rate, profit factor, max drawdown, and equity curves for strategies.
Indicator validation: measure signal accuracy, lag, and robustness across timeframes.
Use Case: Validate a new strategy by running retrospective tests and comparing performance across multiple assets and parameter sets.

Quick Start

Load your Pine Script indicator or strategy and run a full backtest with a sample dataset to generate performance metrics.

Frequently Asked Questions about pine-backtester

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

FAQPage Schema

How do I backtest Pine Script indicators to measure signal accuracy?▼

Backtest Pine Script indicators by computing performance metrics like signal accuracy, win rate, and profit factor. This Skill automates the evaluation process across multiple timeframes to validate trading ideas robustly.

What statistical validation methods can I apply to trading strategies?▼

Apply statistical validation methods like Monte Carlo simulations and walk-forward analysis to trading strategies. These features enforce rigorous risk analytics and drawdown metrics to evaluate strategy robustness.

Can I validate a trading strategy across multiple asset classes and timeframes?▼

Validate a trading strategy across multiple asset classes and timeframes by running retrospective tests. This allows you to compare performance across different assets and parameter sets to ensure strategy reliability.

What performance metrics are available for evaluating Pine Script strategies?▼

Performance metrics available for evaluating Pine Script strategies include win rate, profit factor, maximum drawdown, and equity curves. These metrics provide comprehensive risk analytics and remove guesswork from strategy validation.

How do I generate an equity curve for my custom Pine Script indicator?▼

Generate an equity curve for your custom Pine Script indicator by loading the script and running a full backtest with a sample dataset. The Skill computes the equity curve alongside other performance metrics.

Does this backtesting tool support walk-forward analysis?▼

This backtesting tool supports walk-forward analysis alongside Monte Carlo simulations and drawdown risk metrics. These statistical validation features ensure comprehensive evaluation of Pine Script indicators and strategies.