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Open-source Rust framework for building event-driven live-trading & backtesting systems

QuantSkills组织的全景导航 ：面向 AI Agent 的开源量化 Skill & Agent 生态，从数据、因子研究、回测验证到风险监控与交易自动化。｜Open-source Quant Skills & Agents for AI-driven research, backtesting, risk and trading automation.——Panoramic navigator for the QuantSkills organization

Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.

Python trading framework with AI agents that actually place the trade. Backtest, paper and live trade on 12 brokers: stocks, options, futures, forex, crypto and prediction markets.

qstock由“Python金融量化”公众号开发，试图打造成个人量化投研分析包，目前包括数据获取（data）、可视化(plot)、选股(stock)和量化回测（策略backtest）模块。 qstock将为用户提供简洁的数据接口和规整化后的金融市场数据。可视化模块为用户提供基于web的交互图形的简单接口； 选股模块提供了同花顺的选股数据和自定义选股，包括RPS、MM趋势、财务指标、资金流模型等； 回测模块为大家提供向量化（基于pandas）和基于事件驱动的基本框架和模型。 关注“Python金融量化“微信公众号，获取更多应用信息。

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

High-performance technical analysis indicators and backtesting framework in Go. Zero dependencies. ✨ See how! 👀

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

Algorithmic trading framework for cryptocurrencies.

A nimble options research and backtesting library for Python