Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python
Author: Sofien Kaabar (Author)
Publisher finelybook 出版社: O’Reilly Media
Edition 版次: 1st
Publication Date 出版日期: 2024-02-20
Language 语言: English
Print Length 页数: 350 pages
ISBN-10: 1098148398
ISBN-13: 9781098148393
Book Description
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, trade, and back-test 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 out-of-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.
- Create and understand machine learning and deep learning models
- Explore the details behind reinforcement learning and see how it’s used in trading
- 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 profitability and the predictability of the models to understand their limitations and potential
About the Author
Having elaborated many successful trading algorithms, Sofien is now sharing back the knowledge he has acquired over the years to make it accessible to everyone.
