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

By:

Kaabar, Sofien

Material type:

978-93-5542-497-6

Subject(s):

DDC classification:

005.13 KaaD

Summary: 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.

List(s) this item appears in: New Arrivals 01st-15th April 2026, Vol. 07, Issue 06

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
Books	Indian Institute of Technology Tirupati General Stacks	Mathematics	005.13 KaaD (12490) (Browse shelf(Opens below))	Copy 1	Available	12490

Browsing Indian Institute of Technology Tirupati shelves, Shelving location: General Stacks, Collection: Mathematics Close shelf browser (Hides shelf browser)

Previous								Next
Previous	005.13 HilA (12493) Artificial Intelligence in Finance : A Python-Based Guide /	005.13 HilP (12489) Python for Algorithmic Trading : From Idea to Cloud Deployment /	005.13 HilR (12491) Reinforcement Learning for Finance : A Python-Based Introduction /	005.13 KaaD (12490) Deep Learning for Finance : Creating Machine & Deep Learning Models for Trading in Python /	005.13 KhrF (12488) Financial data engineering : Design and Build Data-Driven Financial Products /	005.13 LanR2 R for Everyone: Advanced Analytics and Graphics /	005.13 TatM (12492) Machine Learning and Data Science Blueprints for Finance : From Building Trading Strategies to Robo-Advisors Using Python /	Next

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.

There are no comments on this title.

to post a comment.