Presented by Marco Neffelli and Omar Bazara
Learn portfolio optimization, asset pricing, and risk management with R.
Machine Learning for Algorithmic Trading:
Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition
Stefan Jansen -
Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio.