Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras Key FeaturesImplement machine learning algorithms
Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensi
This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational discipli
Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The t
Understand the fundamentals of algorithmic trading to apply algorithms to real market data and analyze the results of real-world trading strategies Key Features