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£95.90
It has never been this cheap. We have no record of a lower price.
£96 today · cheaper than every other day in the last 3 months
How I Built A Trading Neural Network: Sustaining Long-Term Profitability with TNN (Trading Neural Network Series)
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Price Distribution
Price distribution over 62 days • 1 price levels
Price Analysis
Most common price: £96 (62 days, 100.0%)
Price range: £96 - £96
Price levels: 1 different prices over 62 days
Description
How I Built a Trading Neural Network – Sustaining Long-Term Profitability with TNN Building a powerful AI trading system is only the beginning—keeping it profitable over time is the true challenge. In How I Built a Trading Neural Network: Sustaining Long-Term Profitability with TNN, Kenneth Kam reveals the principles, practices, and strategies behind maintaining consistent performance in rapidly changing markets. This book is crafted for traders, AI practitioners, and system designers who want to go beyond short-term results and build a durable trading edge. Drawing from real-world experience, it provides readers with a structured approach to risk control, system longevity, and the psychological resilience needed to thrive in the long run with AI-powered trading models. What You Will Learn How to build sustainable trading practices that extend beyond short-term gains The psychology of trading discipline and how to transition from manual to fully autonomous trading How to implement continuous learning frameworks to keep your TNN system adaptive and relevant Why macroeconomic awareness is crucial for long-term strategy alignment and model performance How to document, share, and license your TNN to build a scalable legacy or commercial asset Best practices for journaling, backtesting, and integrating community or support networks to enhance trading performance Who Should Read This Book? Traders and investors looking to maintain long-term profitability through structure, discipline, and innovation Quantitative developers and AI researchers seeking to enhance the robustness and adaptability of trading models Financial educators and mentors aiming to pass on sustainable trading systems to the next generation Traders transitioning from manual execution to autonomous trading using AI-driven strategies Wealth creators interested in turning their personal TNN systems into funds, DAOs, or licensable technologies Through a clear, practical, and future-forward approach, How I Built a Trading Neural Network – Sustaining Long-Term Profitability with TNN equips readers with a comprehensive roadmap to stay profitable, resilient, and relevant—no matter how markets evolve. 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 journey beyond short-term wins—build a legacy with a Trading Neural Network designed to thrive in the real world.
Product Specifications
- Format
- hardcover
- ASIN
- B0F27TXVY9
- Domain
- Amazon UK
- Release Date
- 22 March 2025
- Listed Since
- 23 March 2025
Barcode
No barcode data available
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