£59.82

Deep Learning in Algorithmic Trading - Python Book

E-business

Price data last checked 53 day(s) ago - refreshing...

View at Amazon

Price History & Forecast

Last 38 days • 38 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 38 days • 1 price levels

Days at Price

Price Analysis

Most common price: £60 (38 days, 100.0%)

Price range: £60 - £60

Price levels: 1 different prices over 38 days

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

Barcode

No barcode data available

Deep Learning in Algorithmic Trading - Python Book

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Deep Learning in Algorithmic Trading: Transformers, LSTMs, and Temporal Convolutional Networks With Python (Computational Mathematics Library)

Multifractal Analysis in Algorithmic Trading: MFDFA, Wavelet Leaders, and Multifractal Random Walks With Python (Computational Mathematics Library)

Forward–Backward SDEs in Algorithmic Trading: BSDEs, Deep BSDE Solvers, and Risk-Sensitive Control With Python (Computational Mathematics Library)

How I Built A Trading Neural Network: Building a Transformer-Based Prediction System (Trading Neural Network Series)

Statistical Arbitrage in Algorithmic Trading: Stationarity, Cointegration, and Mean-Reverting Stochastic Processes With Python (Computational Mathematics Library)

The Profitable Algorithmic Trading Manual with AI/ML and Python for Beginners to Advanced: Retail & Institutional. Stocks, ETFs, Forex, Crypto, Options, More. Developing, Deploying & Scaling

How I Built A Trading Neural Network: Foundations of AI-Driven Trading (Trading Neural Network Series)

Training LLM Models with Transformers

Python-based Machine Learning: Mathematical Analysis and Prediction

How I Built A Trading Neural Network: Optimizing and Scaling Your TNN System (Trading Neural Network Series)

Introducción a DEEP LEARNING: Algoritmos, Arquitecturas y Aplicaciones Prácticas en Python

How I Built A Trading Neural Network: Fractional Trading (FT) Implementation in TNN (Trading Neural Network Series)

How I Built A Trading Neural Network: Sustaining Long-Term Profitability with TNN (Trading Neural Network Series)

Artificial Intelligence Neural Networks & Deep Learning: Machine Learning

Limit Order Book Dynamics in High-Frequency Trading: Multivariate Hawkes Processes, Queue-Reactive Models, and Lock-Free Event Pipelines With Rust (Computational Mathematics Library)

Trading with Artificial Intelligence: How to use AI to win in the markets

Deep Learning for Precision Genomics: Algorithms, Interpretation, and the Clinical Translation of the Genetic Code

Information Theory for Machine Learning: Theorems, Proofs, and Python Implementations (Computational Mathematics Library)

Advanced Customized Artificial Intelligence Fundamentals With Python: Domain Adaptation, Personalization, and Deployment (Computational Mathematics Library)

Mastering Deep Learning: From Fundamentals to Cutting-Edge AI (The Professional Tech Skill Stack Series)

Deep Learning and Transformers' Methods Applied to Remotely Captured Data

Reinforcement Learning & Optimal Control: Theorems, Proofs, and Python Implementations (Computational Mathematics Library)

Geometry for Machine Learning With Engineering Applications: Theory, Examples, and Python Implementations (Computational Mathematics Library)

Geometry for Machine Learning With Engineering Applications: Theory, Examples, and Python Implementations (Computational Mathematics Library)