Strategy Lab

Backtest Playground

Walk-forward evaluation across patterns, symbols and cost assumptions — train on the past, measure only on out-of-sample bars, then stress the result with Monte Carlo resampling.

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10 symbols · last 6 months · walk-forward

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Configure a strategy below and press Run Backtest to measure it.

Configure

Strategy builder

Universe

10 symbols: AAPL, MSFT, GOOGL, AMZN, NVDA, META…

Date range

Range sets bars retrieved; walk-forward windows split within.

Benchmark

Buy-and-hold baseline the strategy is judged against.

PatternsUsing all 23 patterns

Commission ($/share)Slippage (bps)Stop override (%)Target override (%)Position size ($)

Run Monte Carlo robustness

Block-resamples the trade sequence and injects slippage noise to stress-test outcomes — turning one equity curve into a distribution.