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AI Powered Day Trading: Leveraging Machine Learning for Market Domination (Future Finance Book 2)


Price: $9.99
(as of Dec 21, 2025 07:45:25 UTC – Details)



Reactive Publishing

AI-Powered Day Trading: Leveraging Machine Learning for Market Domination

Gain an edge in the financial markets with AI-Powered Day Trading, the definitive guide to integrating machine learning and algorithmic trading strategies for superior performance. This book bridges the gap between artificial intelligence and real-world trading, helping traders of all levels harness AI-driven techniques for smarter, faster, and more profitable trades.

What You’ll Learn:AI-Driven Trading Strategies – Use machine learning to identify market patterns and execute high-probability trades.Python for Algorithmic Trading – Implement AI-powered models using Python and cutting-edge libraries.Data-Driven Decision Making – Leverage big data, predictive analytics, and sentiment analysis to enhance trading accuracy.Risk Management with AI – Optimize risk exposure and maximize returns with intelligent position sizing and stop-loss techniques.Real-Time Market Execution – Develop AI-driven systems for automated trade execution and real-time market adaptation.

With practical code examples, backtesting strategies, and deployment techniques, this book equips traders with the tools to outperform human intuition and adapt to evolving market conditions.

Master the future of trading—get your copy today and start leveraging AI for financial success.

ASIN ‏ : ‎ B0DVNQBBV5
Publisher ‏ : ‎ Reactive Publishing
Accessibility ‏ : ‎ Learn more
Publication date ‏ : ‎ January 31, 2025
Edition ‏ : ‎ 5th
Language ‏ : ‎ English
File size ‏ : ‎ 2.4 MB
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 469 pages
Page Flip ‏ : ‎ Enabled
Book 2 of 3 ‏ : ‎ Future Finance
Best Sellers Rank: #1,468,227 in Kindle Store (See Top 100 in Kindle Store) #191 in Financial Engineering (Kindle Store) #371 in Financial Risk Management (Kindle Store) #384 in Financial Engineering (Books)

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