Price: $19.99 - $7.99
(as of Dec 27, 2025 14:38:27 UTC – Details)
Harness the incredible power of deep learning to transform the way you approach the financial markets. This groundbreaking textbook blends financial theory and practical Python implementations seamlessly, providing you with the real-world skills demanded by investment banks, hedge funds, trading firms, and fintech startups.
Starting from intuitive neural network foundations, move swiftly through hands-on exercises and clear Python examples:
Use LSTM networks to forecast stock prices and volatility with unmatched accuracy.Employ reinforcement learning techniques to design automated trading strategies, adaptively tuning your systems to real-time market conditions.Monitor and dissect news sentiment in real-time using advanced Natural Language Processing (NLP) models.Identify hidden fraud patterns efficiently with powerful autoencoder and anomaly detection algorithms.Master portfolio optimization and risk management through deep probabilistic modeling, enabling smart diversification even under market uncertainty.
With step-by-step Python coding tutorials integrated directly into every chapter, you’ll craft your own cutting-edge deep learning models for finance, from trading bots and risk assessment to fraud detection and powerful multi-modal analytics. Whether you’re a finance professional, a data scientist, or an academic researcher, this comprehensive resource empowers you to excel in the evolving landscape of modern finance.
Learn. Code. Innovate. Unlock the future of finance today.
ASIN : B0F2F5ZYY4
Accessibility : Learn more
Publication date : March 24, 2025
Language : English
File size : 6.5 MB
Enhanced typesetting : Not Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 289 pages
Format : Print Replica
Page Flip : Not Enabled
Part of series : Algorithmic Trading Masterclass
Best Sellers Rank: #1,126,103 in Kindle Store (See Top 100 in Kindle Store) #135 in Financial Engineering (Kindle Store) #215 in Financial Engineering (Books) #479 in Neural Networks
Customer Reviews: 3.0 3.0 out of 5 stars (1) var dpAcrHasRegisteredArcLinkClickAction; P.when(‘A’, ‘ready’).execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( ‘acrLink-click-metrics’, ‘click’, { “allowLinkDefault”: true }, function (event) { if (window.ue) { ue.count(“acrLinkClickCount”, (ue.count(“acrLinkClickCount”) || 0) + 1); } } ); } }); P.when(‘A’, ‘cf’).execute(function(A) { A.declarative(‘acrStarsLink-click-metrics’, ‘click’, { “allowLinkDefault” : true }, function(event){ if(window.ue) { ue.count(“acrStarsLinkWithPopoverClickCount”, (ue.count(“acrStarsLinkWithPopoverClickCount”) || 0) + 1); } }); });
