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Deep Learning in Algorithmic Trading - Python Book

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Description

Expand your knowledge of financial technology with Deep Learning in Algorithmic Trading. This book, part of the Computational Mathematics Library, focuses on advanced models including Transformers, LSTMs, and Temporal Convolutional Networks. Designed for readers interested in the intersection of finance and computer science, this text provides a specialized look at how deep learning architectures can be applied to trading strategies using Python. By exploring these specific neural network structures, you can better understand the technical side of modern algorithmic trading systems. Whether you are studying computational mathematics or looking to deepen your understanding of time-series modeling in a financial context, this independently published work offers a focused look at the tools used in the industry today.

Key Features

Covers essential deep learning architectures including Transformers, LSTMs, and Temporal Convolutional Networks.

Provides technical insights into applying these models specifically to the field of algorithmic trading.

Focuses on practical implementation using the Python programming language.

Part of the Computational Mathematics Library for specialized technical study.

Explores the use of advanced neural networks for analyzing financial data patterns.

Product Specifications

Format: paperback
ASIN: B0G6TCC48N
Category: Books > Subjects > Business, Finance & Law > E-Commerce > E-business
Domain: Amazon UK
Release Date: 13 December 2025
Listed Since: 13 December 2025

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Deep Learning in Algorithmic Trading - Python Book

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