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.
Automated Trading with R:
Quantitative Research and Platform Development
Chris Conlan -
Automated Trading with R explains automated trading, starting with its mathematics and moving to its computation and execution.