Investment Research for Everyone, Everywhere.

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.

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

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

An advanced crypto trading bot written in Python

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.

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

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

modular quant framework.

QTPyLib, Pythonic Algorithmic Trading

🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling

Algorithmic Trading in Python with Machine Learning

Using python and scikit-learn to make stock predictions

Use unsupervised and supervised learning to predict stocks

This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at

stock股票.获取股票数据,计算股票指标,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。

Python library for portfolio optimization built on top of scikit-learn