Transformers in Finance: Harnessing Modern AI for Market Forecasting: Cutting-Edge Deep Learning Models for Smarter Predictions, Risk Management, and

By Vincent Bisette

Reactive Publishing

Financial markets are more complex and volatile than ever, demanding tools that can capture subtle patterns and anticipate shifts in real time. Transformers in Finance introduces you to the revolutionary AI architecture that has transformed language, vision, and now, finance.

Vincent Bisette explains how transformer models can be applied to forecasting, portfolio optimization, sentiment analysis, and risk management. Through clear explanations and practical examples, you'll see how attention mechanisms, sequence modeling, and hybrid AI-finance approaches open new frontiers for traders, analysts, and financial engineers.

Whether you're a seasoned quant, an AI practitioner entering finance, or a professional eager to future-proof your skillset, this book provides the essential roadmap to applying transformer architectures for competitive advantage in global markets.

You will learn how to:

Understand the mechanics of transformers and attention in a finance context

Build models for time-series forecasting, volatility prediction, and event detection

Integrate alternative data sources to capture sentiment and macro signals

Design and evaluate trading strategies powered by modern AI

Anticipate the future of finance as deep learning reshapes the industry

Transformers in Finance bridges the gap between cutting-edge AI and real-world financial applications, helping you master the tools that will define the next era of market intelligence.

• Format: Paperback
• Language: English
• ISBN: B0FQK2KDP2
• ISBN13: 9798264670589
• Release Date: September 2025
• Publisher: Independently Published
• Length: 552 Pages
• Weight: 1.61 lbs.
• Dimensions: 1.1" x 6.0" x 9.0"