Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python

類型： 簡裝書 語言： 英語（English） 作者： Kaabar, Sofien 頁數： 350 頁 出版于： 2024-01-31 ISBN13： 9781098148393 ISBN10： 1098148398 出版社： O'Reilly Media 規格： 232 x 186 x 19 mm 重量： 640 克

This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create, trade, and back-test trading algorithms based on machine learning and reinforcement learning.
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<p>Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning. <p> Sofien Kaabar--financial author, trading consultant, and institutional market strategist--introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization. <ul> <li>Understand and create machine learning and deep learning models <li>Explore the details behind reinforcement learning and see how it's used in time series <li>Understand how to interpret performance evaluation metrics <li>Examine technical analysis and learn how it works in financial markets <li>Create technical indicators in Python and combine them with ML models for optimization <li>Evaluate the models' profitability and predictability to understand their limitations and potential </ul>

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