ai-trader and polymarket-paper-trader

ai-trader
72
Verified
Maintenance 17/25
Adoption 10/25
Maturity 25/25
Community 20/25
Maintenance 10/25
Adoption 4/25
Maturity 20/25
Community 13/25
Stars: 507
Forks: 71
Downloads:
Commits (30d): 7
Language: Python
License: GPL-3.0
Stars: 6
Forks: 2
Downloads:
Commits (30d): 0
Language: Python
License: MIT
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About ai-trader

whchien/ai-trader

Backtrader-powered backtesting framework for algorithmic trading, featuring 20+ strategies, multi-market support, CLI tools, and an integrated MCP server for professional traders.

This tool helps professional traders and quantitative analysts test and refine their algorithmic trading strategies. You provide historical market data (stocks, crypto, forex) and a trading strategy, and it simulates how that strategy would have performed, generating detailed backtest results. It's designed for anyone managing or developing trading algorithms who needs robust testing.

algorithmic-trading quantitative-finance portfolio-backtesting market-analysis trading-strategy-development

About polymarket-paper-trader

agent-next/polymarket-paper-trader

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

Executes trades against real Polymarket order books with level-by-level fill simulation and exact fee modeling, ensuring paper P&L matches real-world results within the spread. Exposes 26 MCP tools for AI agents alongside CLI commands, supporting limit orders with GTC/GTD lifecycles, multi-outcome markets, and historical backtesting via price snapshots. Integrates with ClawHub for OpenClaw agent deployment and includes built-in leaderboard tracking and head-to-head strategy comparison.

Scores updated daily from GitHub, PyPI, and npm data. How scores work