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
