Как я создал торговую нейронную сеть: Сборник из 5 книг

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Как я создал торговую нейронную сеть: Сборник из 5 книг
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Характеристики

Артикул
B0F2HHLVYF
Identyfikator produktu
B0F2HHLVYF
Język
Angielski
Wymiary
13.97 x 2.92 x 21.59 cm
Data publikacji
25 marca 2025
Długość wersji drukowanej
426 str.

Описание

Don’t miss this opportunity to own the complete Trading Neural Network Series in one stunning hardcover volume.Normally priced at $88 x 5 = $440 when purchased individually. This 5 Books in One Book Omnibus Edition is yours for just $238.80.That’s a Savings of $201.20 – a Full 46% Discount!How I Built a Trading Neural Network: A Collection of 5 Books(Trading Neural Network Series – Omnibus Edition) In this ultimate compendium, Kenneth Kam brings together five groundbreaking volumes from the Trading Neural Network Series, offering readers an all-in-one reference to master the art of AI-powered trading. Whether you’re a retail trader, quant enthusiast, or a tech-savvy investor seeking strategic advantage in today’s dynamic markets, this collection offers a powerful foundation for building and scaling your own intelligent trading system. This Omnibus Edition includes: Book 1: Foundations of AI-Driven TradingA comprehensive introduction to trading neural networks (TNN), covering data pipelines, feature engineering, and neural architectures—from LSTM to transformer models. Book 2: Building a Transformer-Based Prediction SystemA deep dive into the design and implementation of transformer models for financial forecasting, including technical indicators, real-time integration, and reinforcement learning hybrids. Book 3: Fractional Trading (FT) Implementation in TNNAn optimized strategy for capital efficiency, this book details how Fractional Trading enhances precision, risk management, and execution across stocks, forex, crypto, and commodities. Book 4: Optimizing and Scaling Your TNN SystemPractical guidance on infrastructure scaling, real-time dashboards, AutoML integration, and performance monitoring to transition from small trades to institutional-grade operations. Book 5: Sustaining Long-Term Profitability with TNNThe final volume addresses how to adapt AI systems to evolving markets. Topics include trader psychology, macroeconomic signal integration, compliance, innovation cycles, and giving back through ethical trading. Together, these five volumes deliver a masterclass in modern trading technology. This collection equips readers with actionable blueprints to build resilient, adaptive, and profitable trading systems—merging deep learning with financial intelligence in an era where algorithms outperform instinct.

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