Comprehensive guide to deep learning in quantitative trading for professionals and students
Covers fundamentals of financial time series and supervised learning for a solid foundation
Hands-on applications with code examples for practical learning
Dedicated GitHub repository with detailed implementations for further exploration
Tailored workflow for financial data analysis and cross-validation techniques
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Report copyright infringement by Zihao Zhang (Author), Stefan Zohren (Author) This Element provides a comprehensive guide to deep learning in quantitative trading, merging foundational theory with hands-on applications. It is organized into two parts. The first part introduces the fundamentals of financial time-series and supervised learnin