Backtesting your strategy

Proof before risk

The backtester answers one question: would this strategy have made money? It replays your strategy against more than six months of historical Polymarket market data — plus reference crypto prices for BTC, ETH, SOL and others — and produces a complete report in under a minute. You iterate on an idea in minutes, not days.

The metrics you get

Every run produces a full metrics set, not just a profit number:

• Profit and win rate, with a trade-level breakdown
• Maximum drawdown and recovery time
• Risk-adjusted ratios: Sharpe, Sortino, Ulcer Index
• Average holding time, MAE / MFE per trade
• Statistical confidence: bootstrap intervals and significance tests

Validation that resists self-deception

Good backtest numbers can be an illusion — a strategy tuned too tightly to the past. The backtester includes tools that catch this: walk-forward validation re-tests the strategy on data it was not tuned on, Monte Carlo stress testing shuffles outcomes to show the range of realistic results, and an out-of-sample holdout keeps a slice of history untouched for the final check.

Compare strategies side by side

Run several strategy variants on the same data and compare them in one view (A/B/C comparison). This is the fastest way to answer questions like "is a tighter stop-loss actually better?" — the difference shows up directly in the metrics.

AI analysis of results

The built-in AI assistant reads your backtest results, explains in plain language what is driving performance and flags weak spots — for example, that all the profit comes from one lucky week, or that the strategy only works at certain hours. Treat it as a second pair of eyes on every run.