Deep Learning in Finance With Python: AI Tools for Analyzing Financial Markets - Brossura

Amatsuki, Kaito

Brossura

ISBN 13: 9798315458432

Casa editrice: Independently published, 2025

Riassunto

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.

Dettagli dell'edizione

• Editore: Independently published
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 13: 9798315458432
• Rilegatura: Copertina flessibile
• Numero di pagine: 289
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile