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

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

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

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then s…

Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until recently only expert humans could perform. As it relates to…

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

DEPRECATED Former Python version of Quantiacs toolbox and sample trading strategies. New toolbox available at: https://github.com/quantiacs/toolbox

Stock Fundamental Analysis using Machine Learning Classification Models

Course content for Practical AI on the Google Cloud Platform