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Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python
Paperback
Publisher Price: $69.99
ISBN13: 9781098148393
Publisher: O'Reilly Media
Published: Feb 13 2024
Pages: 359
Weight: 1.27
Height: 0.75 Width: 7.00 Depth: 9.19
Language: English
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.
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.
- Understand and create machine learning and deep learning models
- Explore the details behind reinforcement learning and see how it's used in time series
- Understand how to interpret performance evaluation metrics
- Examine technical analysis and learn how it works in financial markets
- Create technical indicators in Python and combine them with ML models for optimization
- Evaluate the models' profitability and predictability to understand their limitations and potential
2 different editions
Also available
Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python
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Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python
Kaabar, Sofien
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Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python
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Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python
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