Deep Learning for Finance: Creating Machine and Deep Learning Models for Trading in Python - Brossura

Kaabar, Sofien

Brossura

ISBN 10: 1098148398 ISBN 13: 9781098148393

Casa editrice: Oreilly & Associates Inc, 2024

Riassunto

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

Dettagli dell'edizione

• Editore: Oreilly & Associates Inc
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 1098148398
• ISBN 13: 9781098148393
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 359
• Contatto del produttore: O'Reilly; https://oreilly.com; ; 1005 Gravenstein Highway North; Sebastopol; CA; 95472; U.S.A.
• Persona responsabile: GPSR Kontakt; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Germania