Investment Research for Everyone, Everywhere.

基于Python的开源量化交易平台开发框架

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

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

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

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

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

Algorithmic Trading in Python with Machine Learning

基金投资管理回测引擎

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.

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

Kotlin(Java)开源量化交易开发框架

Invest Alchemy is a trading assistant focused on ETF portfolios.

Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]

A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine