Claude Skill

agent-next/polymarket-paper-trader

专为AI代理打造的Polymarket预测市场模拟交易系统。支持MCP服务器、实时订单簿和策略回测。安装命令:npx clawhub install polymarket-paper-trader。

概览

Stars346
Forks46
语言Python
最后更新2026-03-02
最近同步2026-06-17
前往 GitHub

仓库信息

拥有者agent-next
仓库polymarket-paper-trader
完整名称agent-next/polymarket-paper-trader
Repo ID1,169,648,406

安装这个 Skill

npx clawhub install polymarket-paper-trader # install via ClawHub

Registry 信息

类型mcp_server
质量分80/100
验证状态readme_parsed
最近验证2026-06-14
平台
ClaudeMCPOpenClaw
能力
searchterminalworkflowai-agentalgorithmic-tradingbacktestingclawhubmcpopenclawpaper-trading
识别文件
README.mddocsexamplespyproject.tomltests
安装方式
  • npx clawhub install polymarket-paper-trader # install via ClawHub
  • pip install polymarket-paper-trader
  • npx clawhub install polymarket-paper-trader

项目简介

一个专为AI代理打造的Polymarket预测市场模拟交易系统。提供MCP服务器、实时订单簿和策略回测功能。安装命令:npx clawhub install polymarket-paper-trader。

英文描述

Paper trading simulator for Polymarket — built for AI agents. MCP server, live order books, strategy backtesting. Install: npx clawhub install polymarket-paper-trader

要点

  • 支持AI代理的MCP服务器集成
  • 实时订单簿模拟
  • 策略回测引擎
  • 基于Python和SQLite构建
  • 通过ClawHub一键安装

使用场景

  • AI代理驱动的预测市场交易
  • 算法交易策略开发
  • 无风险模拟交易练习
  • 预测市场策略回测
  • 市场机制教学工具

README 摘要

# polymarket-paper-trader [![PyPI](https://img.shields.io/pypi/v/polymarket-paper-trader.svg)](https://pypi.org/project/polymarket-paper-trader/) [![Tests](https://github.com/agent-next/polymarket-paper-trader/actions/workflows/test.yml/badge.svg)](https://github.com/agent-next/polymarket-paper-trader/actions/workflows/test.yml) [![ClawHub](https://img.shields.io/badge/ClawHub-install-orange.svg)](https://clawhub.com/robotlearning123/polymarket-paper-trader) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](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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数据来自 GitHub,同步时间:2026-06-17