Polymarket Paper Trading Lab
A paper trading framework that runs 100 bots simultaneously, each with $1,000 of simulated capital to identify the most effective strategies through competition.
The lab creates a controlled environment where multiple trading bots compete with equal starting capital ($1,000 each) on Polymarket. This comparative approach allows systematic evaluation of different strategy types—momentum, mean reversion, arbitrage, and others—under identical market conditions. The framework is written in TypeScript and was created on 2026-09-06.
Bots are ranked based on their final portfolio value after a testing period, with the best performers being candidates for deployment with real capital. The strategy's edge comes from rapid iteration and empirical validation of quantitative approaches rather than any single algorithmic insight.
Entry and exit are determined by each individual bot's underlying logic, while the meta-strategy identifies winners through tournament-style evaluation. This approach significantly reduces the risk of deploying unprofitable strategies by front-loading the research phase.
The repository currently shows minimal engagement (0 stars, 0 forks), suggesting it's early-stage. The main risk is that paper trading results may not perfectly transfer to live execution due to slippage, latency, and liquidity differences.