investment

基于Python的开源量化交易平台开发框架

Investment Research for Everyone, Anywhere.

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

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

🔎 📈 🐍 💰 Backtest trading strategies in Python.

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

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

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

基金投资管理回测引擎

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

🚀 💸 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.

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

A program for financial portfolio management, analysis and optimisation.

Kotlin(Java)开源量化交易开发框架

Portfolio Management Framework for risk and performance analysis 投资组合管理

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

Invest Alchemy is a trading assistant focused on ETF portfolios.

Algorithmic Trading in Python with Machine Learning

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