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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
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.
🚀 💸 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.
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 <img alt="neckbeard" src="https://github.githubassets.com/images/icons/emoji/neckbeard.png?v8" />]
FinHack®，一个易于拓展的量化金融框架，它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。
量化投资入门资料整理：1.多因子股票量化框架开源教程 2.学术界和业界的经典资料收录