Get Free Shipping on orders over $79
Deep Alpha : Building Intelligent Systems for Stock Market Prediction: Intelligent System Using Deep Learning - MANU BANGA

Deep Alpha

Building Intelligent Systems for Stock Market Prediction: Intelligent System Using Deep Learning

By: MANU BANGA

Paperback | 7 November 2025

At a Glance

Paperback


RRP $113.52

$109.75

or 4 interest-free payments of $27.44 with

 or 

Ships in 5 to 7 business days

Deep Alpha: Building Intelligent Systems for Stock Market Prediction is an insightful exploration of the cutting-edge technologies and methodologies used to predict stock market movements. Drawing from machine learning, artificial intelligence, and data science, this book takes readers through the complex process of designing and building intelligent systems capable of analyzing vast amounts of financial data, identifying trends, and making predictions with high accuracy. Written for both aspiring and seasoned professionals in finance and technology, Deep Alpha provides practical guidance, real-world case studies, and advanced techniques to harness the power of AI in financial decision-making. Whether you're looking to build your own predictive models or understand the future of algorithmic trading, this book offers the tools and knowledge necessary to succeed in the fast-paced world of stock market prediction.

More in Systems Analysis & Design

Site Reliability Engineering : How Google Runs Production Systems - Betsy Beyer
Spark : The Definitive Guide : Big Data Processing Made Simple - Bill Chambers
Business Driven Information Systems ISE : 9th Edition - Paige Baltzan
Systems Analysis and Design : 12th edition - Harry J. Rosenblatt

RRP $169.95

$137.99

19%
OFF
Linux Pocket Guide : 4th Edition - Essential Commands - Daniel J. Barrett
Fundamentals of Software Engineering : From Coder to Engineer - Dan Vega
Rust Atomics and Locks : Low-Level Concurrency in Practice - Mara Bos
DAMA-DMBOK : Data Management Body of Knowledge - DAMA International

RRP $137.49

$104.99

24%
OFF
Tidy First? : A Personal Exercise in Empirical Software Design - Kent Beck