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Deep Learning in Quantitative Trading

Name: Deep Learning in Quantitative Trading
Brand: Cambridge University Press
SKU: 9781009707114
Price: 2554.00 INR
Availability: InStock
ISBN: 9781009707114

Contributor(s): Zhang, Zihao Author , Zohren, Stefan Author Format: Paperback

Paperback · ISBN 9781009707114

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Key Specifications

ISBN	9781009707114
Publisher	Cambridge University Press
Publication date	October 2025
Language	English
MRP	£18.00 GBP
Page count	184
Item weight	56 g

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 learning, exploring various network architectures, from feedforward to state-of-the-art. To ensure robustness and mitigate overfitting on complex real-world data, a complete workflow is presented, from initial data analysis to cross-validation techniques tailored to financial data. Building on this, the second part applies deep learning methods to a range of financial tasks. The authors demonstrate how deep learning models can enhance both time-series and cross-sectional momentum trading strategies, generate predictive signals, and be formulated as an end-to-end framework for portfolio optimization. Applications include a mixture of data from daily data to high-frequency microstructure data for a variety of asset classes. Throughout, they include illustrative code examples and provide a dedicated GitHub repository with detailed implementations.

Deep Learning in Quantitative Trading

Key Specifications

Zhang, Zihao Author

Zohren, Stefan Author

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