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

Python wrapper for TA-Lib (http://ta-lib.org/).

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins and options).

Collection of notebooks about quantitative finance, with interactive python code.

The QuantLib C++ library

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

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

High-performance TensorFlow library for quantitative finance.

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

A list of online resources for quantitative modeling, trading, portfolio management

Use unsupervised and supervised learning to predict stocks

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

QTPyLib, Pythonic Algorithmic Trading

a lightweight modular quant framework

Notebooks based on financial machine learning.

Using python and scikit-learn to make stock predictions

⚠️ Deprecrated in favor of https://github.com/piquette/finance-go

Open source analytics and market risk library from OpenGamma

Backtesting for sleepless cryptocurrency markets

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

Introducing neural networks to predict stock prices

🔬 Machine learning strategies and useful tools use in financial market.

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

Technical Indicators implemented in Python using Pandas

An open source, hands-on and fully reproducible book in quantitative finance, data science and econophysics. Join us and help Make Wall Street Great Again!

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

Mathematical Finance Library: Algorithms and methodologies related to mathematical finance.

Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI

QLNet C# Library

Machine learning models for time series analysis