This repository offers a collection of Jupyter Notebooks for quantitative analysis, strategy development, and backtesting. It covers topics from portfolio optimization and risk management to machine learning applications for financial markets. You'll find implementations for classical models, Bayesian approaches, and deep learning techniques.
Develop and test quantitative trading strategies.
Quantitative analysts, researchers, and traders looking to build and evaluate algorithmic trading systems.