Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

基于Python的开源量化交易平台开发框架

FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.

Code for Machine Learning for Algorithmic Trading, 2nd edition.

ValueCell is a community-driven, multi-agent platform for financial applications.

A curated list of practical financial machine learning tools and applications.

🔎 📈 🐍 💰 Backtest trading strategies in Python.

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

Algorithmic Trading in Python with Machine Learning

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

基金投资管理回测引擎

🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Find big moving stocks before they move using machine learning and anomaly detection

A program for financial portfolio management, analysis and optimisation.

入门资料整理：1.多因子股票量化框架开源教程 2.学界和业界的经典资料收录 3.AI + 金融的相关工作，包括LLM, Agent, benchmark(evaluation), etc.

Korea Investment & Securities Open API Github

An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎

Claude Code for Finance