
فایل PDF اصلی کتاب Deep Learning for Financial Markets: A Practical Guide
نوع
فایل PDF اصلی
تعداد صفحات
534
نویسندگان
Hayden Van Der Post (Author), Reactive Publishing (Author), Johann Strauss (Author), Vincent Bisette (Author)
ناشر
Reactive publishing
زبان
انگلیسی
تاریخ انتشار
March 31, 2025
فایل PDF اصلی کتاب Deep Learning for Financial Markets: A Practical Guide
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https://www.amazon.com/dp/B0F37F5KXP
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توضیحات:
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.