An AI Hedge Fund Team

Files for the Python Workout book

Pen and paper exercises in machine learning

Curated list of data science interview questions and answers

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Systematic Trading in python

Machine Learning in Finance: From Theory to Practice Book

A highly efficient implementation of Gaussian Processes in PyTorch

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…

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…

PyMC educational resources

Resources for Quantitative Finance

RiskQuantLib is a derivative of Quantlib, a famous quantitative library of financial engineering. Unlike QuantLib, RiskQuantLib is a scaffolding of financial analysis.

DX Analytics | Financial and Derivatives Analytics with Python

Backtesting toolbox for trading strategies

Ipython notebooks for math and finance tutorials

Quantitative analysis, strategies and backtests

Deep Learning for humans

ffn - a financial function library for Python

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

Extensible time series class that provides uniform handling of many R time series classes by extending zoo.

Quantitative Financial Modelling Framework

Quantamental finance research with python

Using python and scikit-learn to make stock predictions

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

An automated stock screening system which isolates top companies based on time-tested growth criteria.

Investment Research for Everyone, Everywhere.

Machine learning on FPGAs using HLS

Easy rate-limiting for python requests