Deep Learning for Financial Markets: A Practical Guide

Reactive PublishingDeep 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.

• | Author: Reactive Publishing
• | Publisher: Independently Published
• | Publication Date: Apr 01, 2025
• | Number of Pages: 00518 pages
• | Binding: Paperback or Softback
• | ISBN-10: NA
• | ISBN-13: 9798316335022