Deep Learning for Financial Markets: A Practical Guide

By Hayden Van Der Post, Johann Strauss, Reactive Publishing

Reactive Publishing

Deep Learning for Financial Markets bridges the gap between theory and execution-offering a hands-on roadmap for leveraging AI to navigate, analyze, and outperform modern markets.

Written for quants, traders, data scientists, and financial professionals, this practical guide demystifies cutting-edge neural network techniques and shows how to apply them directly to algorithmic trading, portfolio optimization, risk modeling, and financial forecasting. With a focus on actionable implementations using Python, PyTorch, and TensorFlow, Hayden Van Der Post walks you through end-to-end workflows, including data preprocessing, model architecture, hyperparameter tuning, and live deployment strategies.

From LSTMs for time-series prediction to transformers for market pattern recognition, this book is designed to give you a real competitive edge-whether you're developing your first model or optimizing complex trading strategies.

If you're ready to move beyond buzzwords and into profit-driven, AI-powered finance, this is your field manual.

• Format: Paperback
• Language: English
• ISBN: B0F38SPHG4
• ISBN13: 9798316335022
• Release Date: April 2025
• Publisher: Independently Published
• Length: 518 Pages
• Weight: 1.51 lbs.
• Dimensions: 1.0" x 6.0" x 9.0"