If you enjoyed this book, you may be interested in these other books by Packt:

Mastering Python for Finance - Second Edition
James Ma Weiming

ISBN: 9781789346466

• Solve linear and nonlinear models representing various financial problems
• Perform principal component analysis on the DOW index and its components
• Analyze, predict, and forecast stationary and non-stationary time series processes
• Create an event-driven backtesting tool and measure your strategies
• Build a high-frequency algorithmic trading platform with Python
• Replicate the CBOT VIX index with SPX options for studying VIX-based strategies
• Perform regression-based and classification-based machine learning tasks for prediction
• Use TensorFlow and Keras in deep learning neural network architecture

Hands-On Machine Learning for Algorithmic Trading
Stefan Jansen

ISBN: 9781789346411

• Implement machine learning techniques to solve investment and trading problems
• Leverage market, fundamental, and alternative data to research alpha factors
• Design and fine-tune supervised, unsupervised, and reinforcement learning models
• Optimize portfolio risk and performance using pandas, NumPy, and scikit-learn
• Integrate machine learning models into a live trading strategy on Quantopian
• Evaluate strategies using reliable backtesting methodologies for time series
• Design and evaluate deep neural networks using Keras, PyTorch, and TensorFlow
• Work with reinforcement learning for trading strategies in the OpenAI Gym