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Reinforcement Learning for Trading: Build Intelligent Agents with Python and AI – A Comprehensive Guide for 2025


Price: $41.99
(as of Jun 21, 2025 10:03:04 UTC – Details)



Reactive Publishing

Step beyond traditional algorithmic trading—into the realm of true machine intelligence.

In this groundbreaking guide, James Preston empowers you to build trading agents that learn, adapt, and thrive in dynamic markets using Reinforcement Learning (RL). Whether you’re a quant, data scientist, or ambitious retail trader, this book gives you the tools to implement cutting-edge AI that thinks like a trader—and evolves like one.

Inside, you’ll master:

The foundations of RL: Q-learning, Policy Gradients, and Actor-Critic methods

Designing trading environments with OpenAI Gym-style simulations

Building and training deep RL agents using TensorFlow & PyTorch

Real-world market applications: position sizing, momentum strategies, and risk-aware decision-making

Backtesting RL agents vs. traditional algos for performance benchmarks

Online learning loops that adapt to changing volatility and macro regimes

This is more than theory. It’s a practical blueprint for developing intelligent, autonomous trading strategies using the most powerful AI framework available today.

Whether you’re developing institutional-grade systems or pioneering the frontier of retail automation—this book is your launchpad.

ASIN ‏ : ‎ B0F54D8TKL
Publisher ‏ : ‎ Independently published
Publication date ‏ : ‎ April 15, 2025
Language ‏ : ‎ English
Print length ‏ : ‎ 484 pages
ISBN-13 ‏ : ‎ 979-8280119420
Item Weight ‏ : ‎ 1.42 pounds
Dimensions ‏ : ‎ 6 x 1.09 x 9 inches

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