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How I Built A Trading Neural Network: Fractional Trading (FT) Implementation in TNN (Trading Neural Network Series)

Online Trading & Investing

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Description

How I Built a Trading Neural Network – Fractional Trading (FT) Implementation in TNN Fractional trading is transforming the way traders allocate capital, manage risk, and optimize their portfolios. In How I Built a Trading Neural Network: Fractional Trading (FT) Implementation in TNN, Kenneth Kam delves into the powerful intersection of AI-driven trading models and fractional trade execution, offering readers a step-by-step blueprint to mastering this cutting-edge approach. This book is designed for traders, investors, and AI enthusiasts seeking to harness the power of algorithmic fractional trading for greater flexibility, scalability, and risk management. Whether you're an individual trader looking to invest efficiently in high-priced stocks or a quant developer refining AI-based strategies, this book provides deep insights into the mechanics, challenges, and advantages of fractional trading within a machine learning-driven framework. What You Will Learn The fundamentals of fractional trading in AI-driven strategies and how to integrate it into a trading neural network How to implement dynamic risk management techniques and optimize position sizing with fractional trade execution Advanced statistical techniques and machine learning enhancements to improve trade performance How fractional trading applies to high-frequency trading (HFT), portfolio management, and wealth allocation The regulatory and compliance considerations impacting fractional trading in global markets The future of fractional trading, including AI evolution, quantum computing, and behavioral finance integration Who Should Read This Book? Retail traders looking to maximize capital efficiency through fractional trading Algorithmic traders and quant developers interested in integrating AI-driven execution models Portfolio managers and institutional investors exploring fractionalized asset allocation strategies Data scientists and machine learning enthusiasts aiming to apply AI models in financial trading Through a detailed, practical, and research-backed approach, How I Built a Trading Neural Network – Fractional Trading (FT) Implementation in TNN equips readers with the knowledge, tools, and strategies to successfully navigate modern financial markets using fractional trading and AI-powered decision-making. Bonus Contents – Exclusive Access Readers of this book gain exclusive access to additional resources by scanning the QR code inside the book, including: Podcasts & Expert Discussions on AI trading, machine learning, and risk management Extended Chapters & Case Studies for deeper insights into AI model development and trade execution strategies Free TNN Test Drive – Explore a free trial of our Trading Neural Network and experience AI-powered trading insights (terms & conditions apply) Previews of Upcoming Books in the series, guiding you through the entire AI trading journey Take your trading, investing, and AI expertise to the next level—discover how fractional trading can revolutionize capital allocation and risk management in today’s fast-evolving markets.

Product Specifications

Format: hardcover
ASIN: B0F27VQM8T
Category: Books > Subjects > Business, Finance & Law > Personal Finance > Online Trading & Investing
Domain: Amazon UK
Release Date: 22 March 2025
Listed Since: 23 March 2025

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How I Built A Trading Neural Network: Fractional Trading (FT) Implementation in TNN (Trading Neural Network Series)

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