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.

No run yet

10 symbols · 6 months · walk-forward

—

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

Configure

Strategy builder

Universe

10 symbols: AAPL, MSFT, GOOGL, AMZN, NVDA, META… · hand-picked large caps, not the full index constituents

Date range

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

Patterns optionalUsing all 34 patterns

Advancedvs SPY · $0.005/sh · 5 bps · $10,000 · MC off

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

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.

10 symbols · last 6 months · all 34 patterns · vs SPY