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Neural Finance|Reactive Publishing

Neural Finance : Deep Learning Architectures for Predicting Markets and Managing Risk

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Overview

Reactive Publishing

Unlock the Future of Finance with Deep Learning

In an age where markets move faster than human intuition can follow, Neural Finance delivers a breakthrough roadmap for leveraging deep learning to outpace traditional investment strategies. This comprehensive guide bridges the gap between cutting-edge AI architectures and real-world financial application, offering readers a powerful toolkit to forecast trends, manage risk, and engineer intelligent trading systems.

From convolutional neural networks for time-series analysis to transformer models in portfolio optimization, Johann Strauss demystifies the science behind the models and equips financial professionals, quants, and developers with practical implementation strategies.

Inside this book:

  • How to use LSTMs and GRUs for sequential market prediction

  • Applying autoencoders for anomaly detection and risk control

  • Building reinforcement learning agents for algorithmic trading

  • Integrating transformers to interpret macroeconomic signals

  • Using real market datasets to train and validate neural models

Whether you're a financial analyst looking to future-proof your skills, or a data scientist venturing into capital markets, Neural Finance is your definitive guide to mastering AI in the financial arena.

This item is Non-Returnable

Details

  • ISBN-13: 9798280011243
  • ISBN-10: 9798280011243
  • Publisher: Independently Published
  • Publish Date: April 2025
  • Dimensions: 9 x 6 x 0.69 inches
  • Shipping Weight: 0.98 pounds
  • Page Count: 332

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