£59.82

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Deep Learning Algorithmic Trading - Transformers & LSTMs

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£59.82 £56.83 £58.03 £59.22 £60.42 £61.61 £62.81 18 December 2025 09 February 2026 04 April 2026 27 May 2026 20 July 2026
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Description

Master advanced deep learning techniques for algorithmic trading with this comprehensive guide to Transformers, LSTMs, and Temporal Convolutional Networks. This book from the Computational Mathematics Library provides practical Python implementations and strategies for building neural network models that analyse financial markets and execute trades. Whether you're a quantitative trader, data scientist, or financial engineer seeking to harness machine learning for trading systems, you'll learn how to apply cutting-edge deep learning architectures to time series prediction, market analysis, and automated trading logic. The hands-on approach combines theory with real-world code examples, making complex neural network concepts accessible and immediately applicable to your trading strategy development.

Key Features

Covers Transformers, LSTMs, and Temporal Convolutional Networks specifically designed for financial market analysis and trading applications.

Provides practical Python implementations throughout, enabling you to build and deploy deep learning models for algorithmic trading systems.

Part of the Computational Mathematics Library, offering mathematically rigorous foundations for quantitative finance and machine learning.

Bridges academic deep learning theory with real trading scenarios, helping traders and engineers understand how neural networks predict market behaviour.

Independently published with focus on algorithmic trading applications, combining temporal pattern recognition with financial forecasting techniques.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
13 December 2025
Listed Since
13 December 2025

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