AI Trading Strategy Backtester for Polymarket
Use an AI trading strategy backtester for Polymarket to generate rules, replay resolved markets, and measure realistic fills.
An AI trading strategy backtester for Polymarket should do more than produce generic trading advice. It needs to translate a strategy idea into executable replay rules and test those rules on historical prediction-market data.
Core Requirements
| Requirement | Why it matters |
|---|---|
| Resolved markets | Prevents testing against markets without final outcomes. |
| Order book depth | Models fill price, size, and slippage. |
| Prompt-to-rule generation | Turns natural language ideas into repeatable tests. |
| Market-level results | Shows whether edge is broad or concentrated in a few markets. |
Where AI Helps
AI helps with first-draft strategy translation: conditions, side selection, stop logic, and output structure. The backtester is what decides whether the idea survives real historical execution.
PolyHistorical Workflow
Backtest AI Agent combines natural-language strategy generation with historical Polymarket replay. It is designed for BTC, ETH, and SOL Up/Down markets where spread, depth, and timing materially change results.