#计算机科学#Qlib 是一个 AI 量化投资平台，涵盖了量化投资的全过程，为用户的 AI 算法提供了高性能的底层基础架构
#计算机科学#Code for Machine Learning for Algorithmic Trading, 2nd edition.
#区块链#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
#区块链#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.
#区块链#🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
#计算机科学#Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
#计算机科学#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
Invest Alchemy is a trading assistant focused on ETF portfolios.
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]
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