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polymarket-paper-trader
polymarket-paper-trader logo

polymarket-paper-trader

Active·★ 504·MIT·Updated 2026-10-20
★ Trending★ Hidden Gem

Polymarket Paper Trader provides a zero-risk simulated environment for AI agents to practice and evaluate trading strategies on real prediction market data. It offers faithful market mechanics, including live order books and official fees, to benchmark decision intelligence without financial risk.

polymarket-paper-trader sits in the Dev Tooling category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Zero-risk paper trading on live Polymarket order books.. A representative use case is Develop and test AI trading strategies against live prediction market data without financial exposure.. The listed license is MIT. GitHub stars are currently 504. Relevant tags include Prediction Markets, AI Agents.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

#Prediction Markets#AI Agents#Paper Trading#Market Simulation#Benchmarking#CLI Tool#MCP Protocol#Python
$ Install
$ pip install polymarket-paper-trader
↗ Visit site★ GitHub
01

Features

01Zero-risk paper trading on live Polymarket order books.
02Comprehensive evaluation of AI agent performance using metrics like Brier score and calibration.
03Supports multiple accounts for A/B testing and agent comparison.
04Simulates real market mechanics including slippage, official fees, and order book execution.
05Provides an MCP (Model Context Protocol) server for seamless integration with various AI agent runtimes.
02

Why choose it

+Zero-risk paper trading on live Polymarket order books.
+Comprehensive evaluation of AI agent performance using metrics like Brier score and calibration.
+Develop and test AI trading strategies against live prediction market data without financial exposure.
+Supports 9 platforms or runtime environments.
03

Trade-offs

!The final decision should still be made through side-by-side comparison with similar tools.
04

Compatibility

Python
Runtime
Verified via docs
Docker
Container
Verified via docs
Claude Code
Agent Runtime
Verified via docs
Codex CLI
Agent Runtime
Verified via docs
Cursor
Agent Runtime
Verified via docs
Gemini CLI
Agent Runtime
Verified via docs
05

Quick start

1
$ pip install polymarket-paper-trader
06

Use cases

↳Develop and test AI trading strategies against live prediction market data without financial exposure.
↳Benchmark and compare the performance of different AI models or strategies in a controlled environment.
↳Integrate with popular AI agent frameworks (e.g., LangChain, CrewAI) to give agents prediction market trading capabilities.
↳Learn about prediction market mechanics and dynamics in a simulated, consequence-free setting.
07

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07Alternatives
agent-next /
polymarket-paper-trader
↗

Paper trading simulator for Polymarket

504MIT
Last commit3d ago
StatusActive
CategoryDev Tooling
Links
Documentation↗Discussion↗Issues↗Releases↗
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