How to Build a Polymarket Paper Trading Bot in Python Using Public APIs

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A paper trading bot for Polymarket lets developers test signal logic, order handling, and position accounting using real market data without risking actual funds. The architecture separates data ingestion, strategy execution, simulated order fills, and portfolio accounting into distinct layers, ensuring the strategy engine cannot distinguish between simulated and live orders. Polymarket's public Gamma API enables market discovery without authentication, while its CLOB REST endpoint and WebSocket channel provide real-time order-book data. A key design principle is that the paper execution engine must realistically simulate fill conditions — accounting for price executability, available liquidity, and partial fills — rather than assuming instant execution. Once validated in simulation, the same architecture can be graduated to a live production bot by swapping in real execution credentials.

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