Trading Strategy Simulation Python Packages

keel-trade

Keel — CLI and MCP server for AI-driven crypto strategy development on Hyperliquid

polyalpha

Polymarket sdk to quickly build strategies

tradingkit-py

Async Python trading framework — Polars + ClickHouse, pluggable local/subprocess/remote/sandboxed execution, same strategy code for backtesting and live trading.

easyquant-eqlib

📊 EasyQuant - Event-driven quantitative trading framework for China A-share market. Backtest strategies, analyze risk metrics, and deploy with eqlib core library.

schwabdev-context

A unified environment for deployment and backtesting of trading algorithms with Schwabdev.

trade-sandbox

A unified, mode-agnostic execution sandbox for testing and running trading strategies.

quantspt

Stochastic Portfolio Theory toolkit for quantitative finance — functionally generated portfolios, relative arbitrage, excess growth optimization.