Investment Research for Everyone, Everywhere.

基于Python的开源量化交易平台开发框架

Data Apps & Dashboards for Python. No JavaScript Required.

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

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.

TuShare is a utility for crawling historical data of China stocks

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

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

🔎 📈 🐍 💰 Backtest trading strategies in Python.

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

Portfolio analytics for quants, written in Python

High-performance TensorFlow library for quantitative finance.

Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

A python wrapper for Alpha Vantage API for financial data.

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

Financial Markets Data Visualization using Matplotlib

Transparent and Efficient Financial Analysis

Extract data from a wide range of Internet sources into a pandas DataFrame.