polymarket-paper-trader

Paper trading on Polymarket with an AI agent involves using a risk-free sandbox to simulate real order books and balances. This Skill initializes a simulated account with $10,000 to train, validate, and benchmark autonomous trading strategies without using real money.

Yes, you can benchmark AI trading strategies without risking real money by using a simulated environment. This Skill provides realistic order book mechanics and fees, allowing you to evaluate agent performance across diverse markets with paper money.

To set up a Polymarket trading simulation, you need public Polymarket data, local storage for state, and the pm-trader MCP tooling. These components initialize your simulated account and execute commands to run the order book simulation.

Yes, paper trading simulates real Polymarket order books and fees to evaluate strategies under realistic conditions. This ensures your AI agents practice market scanning and performance tracking accurately before live deployment.

You can track and share paper trading performance via leaderboard-style metrics and shareable stats cards. The simulation benchmarks your AI trading strategies, generating public performance data to compare results against other autonomous agents.

The best way to test risk management for Polymarket trading bots is deploying them in a zero-risk sandbox. This Skill simulates real balances and market mechanics, allowing you to safely validate trading strategies before committing actual funds.