-
Machine Learning for Algorithmic Trading - Second Edition
Author 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.Key FeaturesDesign, train, and evaluate machine lea....
Release Date 2020/07 -
Hands-On Machine Learning for Algorithmic Trading
Author Stefan Jansen
Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and KerasKey FeaturesImplement machine learning algorithms to build, train, and validate algorithmic models Create your own algorithmic design process to apply prob....
Release Date 2018/12