Can I read Deep Learning for Finance: Creating Machine and Deep Learning Models for Trading in Python on EtoBox?

Deep Learning for Finance: Creating Machine and Deep Learning Models for Trading in Python by Kaabar, Sofien is a nonfiction available to read on EtoBox.

What is Deep Learning for Finance: Creating Machine and Deep Learning Models for Trading in Python about?

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

Who reads Deep Learning for Finance: Creating Machine and Deep Learning Models for Trading in Python?

Author

Kaabar, Sofien

Publisher

Oreilly & Associates Inc

Published

2024

Language

EN

ISBN

9781098148393

Category

nonfiction

Subjects

Computer Science, Algorithms And Data Structures, Stem

Updated

2026-03-24