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£95.90
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£96 today · cheaper than every other day in the last 3 months
How I Built A Trading Neural Network: Optimizing and Scaling Your TNN System (Trading Neural Network Series)
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Most common price: £96 (61 days, 100.0%)
Price range: £96 - £96
Price levels: 1 different prices over 61 days
Description
How I Built a Trading Neural Network – Optimizing and Scaling Your TNN System Scaling an AI-powered trading system requires more than just advanced models—it demands strategic optimization, robust infrastructure, and a comprehensive understanding of risk, execution, and growth management. In How I Built a Trading Neural Network: Optimizing and Scaling Your TNN System, Kenneth Kam presents a practical, in-depth guide to navigating the complexities of turning a high-performing prototype into a scalable, sustainable, and compliant AI trading solution. This book is essential reading for developers, traders, and fintech entrepreneurs looking to refine their TNN systems for larger capital deployment, institutional integration, and global market reach. Whether you're enhancing real-time performance dashboards, transitioning to cloud-based infrastructure, or implementing AutoML workflows, this volume equips you with the tools and strategies required to scale intelligently and sustainably. What You Will Learn How to transition from small trades to institutional-scale positions using TNN architecture The core principles of scalable AI design, including modular architecture and hybrid infrastructure Advanced risk management techniques tailored for high-volume AI trading systems Execution optimization strategies using smart order routing, low-latency APIs, and high-frequency trading logic How to automate system monitoring, model retraining, and trade performance evaluation Legal, licensing, and ethical considerations when expanding across jurisdictions and client bases Real-world case studies of high-performance, AI-driven trading systems and the lessons behind their success Who Should Read This Book? Quant traders and AI developers preparing their models for institutional-grade scaling Fintech founders building white-label trading platforms powered by AI Compliance officers and risk managers supporting algorithmic trading operations Portfolio managers and analysts seeking infrastructure that supports smart capital allocation at scale Data scientists exploring the deployment of ML models in live trading environments Through a combination of field-tested methodologies, system architecture insights, and compliance-aware strategies, How I Built a Trading Neural Network – Optimizing and Scaling Your TNN System is your playbook for building scalable, high-performance AI trading systems that thrive in today’s dynamic financial markets. Bonus Contents – Exclusive Access Readers of this book gain exclusive access to additional resources by scanning the QR code inside the book, including: Podcasts & Roundtables with experts on scalable AI trading system design Extended Chapters & Technical Blueprints for advanced optimization and deployment workflows Free TNN Test Drive – Experience real-time AI trading analytics and system monitoring tools (terms & conditions apply) Upcoming Book Previews to guide your journey across the full Trading Neural Network Series Scale smarter. Trade stronger. Discover what it takes to build a resilient, optimized, and institution-ready AI trading system from the ground up.
Product Specifications
- Format
- hardcover
- ASIN
- B0F27TG65F
- Domain
- Amazon UK
- Release Date
- 22 March 2025
- Listed Since
- 23 March 2025
Barcode
No barcode data available
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