agent-next/polymarket-paper-trader

Registry

Summary

A paper trading simulator for Polymarket prediction markets, designed for AI agents. It provides an MCP server, live order books, and strategy backtesting capabilities. Install via npx clawhub install polymarket-paper-trader.

Key features

• MCP server integration for AI agents
• Live order book simulation
• Strategy backtesting engine
• Built with Python and SQLite
• Easy installation via ClawHub

Use cases

• AI agent-driven prediction market trading
• Algorithmic trading strategy development
• Risk-free paper trading practice
• Backtesting prediction market strategies
• Educational tool for market mechanics

README excerpt

# polymarket-paper-trader [](https://pypi.org/project/polymarket-paper-trader/) [](https://github.com/agent-next/polymarket-paper-trader/actions/workflows/test.yml) [](https://clawhub.com/robotlearning123/polymarket-paper-trader) [](https://github.com/agent-next/polymarket-paper-trader/blob/main/LICENSE) **Your AI agent just became a Polymarket trader.** Install → your agent gets $10,000 paper money → trades real Polymarket order books → tracks P&L → competes on a public leaderboard. Zero risk. Real prices. > "My AI agent hit +18% ROI on Polymarket in one week. Zero risk, real order books." Part of [agent-next](https://github.com/agent-next) — open research lab for self-evolving autonomous agents. ## 60-second demo ```bash npx clawhub install polymarket-paper-trader # install via ClawHub pm-trader init --balance 10000 # $10k paper money pm-trader markets search "bitcoin" # find markets pm-trader buy will-bitcoin-hit-100k yes 500 # buy $500 of YES pm-trader stats --card # shareable stats card ``` That's it. Your AI agent is now trading Polymarket with zero risk. ## Install ```bash # via pip pip install polymarket-paper-trader # via ClawHub (for OpenClaw agents) npx clawhub install polymarket-paper-trader # from source (development) uv pip install -e ".[dev]" ``` Requires Python 3.10+. ## Not a toy — this is a real exchange simulator Other tools mock prices or use random numbers. We simulate the actual ex

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