Deep Learning in Quantitative Trading Zhang Zohren Paperback 9781009707114
Deep Learning in Quantitative TradingAuthor(s): Zihao Zhang, Stefan Zohren
Format: Paperback
Publisher: Cambridge University Press, United Kingdom
Imprint: Cambridge University Press
ISBN-13: 9781009707114, 978-1009707114
Synopsis
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,.
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Details:Deep Learning in Quantitative Trading Zhang Zohren Paperback 9781009707114
Deep Learning in Quantitative TradingAuthor(s): Zihao Zhang, Stefan Zohren
Format: Paperback
Publisher: Cambridge University Press, United Kingdom
Imprint: Cambridge University Press
ISBN-13: 9781009707114, 978-1009707114
Synopsis
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,.
Price now:
From
£17.75
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£21.06
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Product Description
Deep Learning in Quantitative TradingAuthor(s): Zihao Zhang, Stefan Zohren
Format: Paperback
Publisher: Cambridge University Press, United Kingdom
Imprint: Cambridge University Press
ISBN-13: 9781009707114, 978-1009707114
Synopsis
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,.
Product Specifications
General | |
|---|---|
Brand | Cambridge University Press |
format | trade paperback |
Language | english |
type | book |
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