Machine Learning For Algorithmic Trading by Stefan Jansen
This comprehensive guide delves into the intersection of machine learning and finance, offering readers a detailed exploration of how to leverage advanced algorithms for trading strategies. It covers a wide array of topics, from data acquisition and feature engineering to model evaluation and backtesting, all tailored to the financial markets. The book provides practical insights into implementing machine learning models, such as deep learning and reinforcement learning, to predict market trends and optimize trading decisions. With a focus on real-world applications, it equips readers with the tools and techniques necessary to harness the power of machine learning in algorithmic trading.
- Published
- 2018
- Nationality
- Unknown
- Length
- Long
- Pages
- 800-900
- Original Language
- English
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- Alternate Titles
- None
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