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.
"synopsis" may belong to another edition of this title.
Seller: Best Price, Torrance, CA, U.S.A.
Condition: New. SUPER FAST SHIPPING. Seller Inventory # 9798316335022
Quantity: 2 available
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Print on Demand. Seller Inventory # I-9798316335022
Quantity: Over 20 available
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In. Seller Inventory # ria9798316335022_new
Quantity: Over 20 available
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798316335022
Quantity: 1 available