pine-backtester

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.

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.

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.

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.

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.

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.