£59.82

Deep Learning in Algorithmic Trading - Python Book

E-business

Price data last checked 44 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

It has never been this cheap. We have no record of a lower price.

£60 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 47 days • 47 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 47 days • 1 price levels

Days at Price

Price Analysis

Most common price: £60 (47 days, 100.0%)

Price range: £60 - £60

Price levels: 1 different prices over 47 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

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

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

Intermarket Analysis in Forex: Coding Cross-Market Predictive Systems With Python (The Artificial Edge: Quantitative Trading Strategies with Python)

High-Frequency Trading Algorithms and Real-Time Market Analysis With CUDA (The Artificial Edge: Quantitative Trading Strategies with Python)

DATA PREPROCESSING USING PYTHON AND R: A Advanced Practical Reference (Data Science & Machine Learning)

The Mathematics of EUV Lithography: PDEs, Stochastic Optics, and Variational Inverse Problems for Semiconductor Manufacturing In Python (Computational Mathematics Library)

The Mathematics of EUV Lithography: PDEs, Stochastic Optics, and Variational Inverse Problems for Semiconductor Manufacturing In Python (Computational Mathematics Library)

The Mathematics of Plasma Etching and Deposition: Kinetic Theory, Nonlinear PDEs, and Control for Semiconductor Manufacturing in Python (Computational Mathematics Library)

AI Edge in Capital Markets: Harnessing Artificial Intelligence to Maximize Returns and Transform Investment Strategies

Mastering Poker: The Game Theory of No-Limit Hold'em (Computational Models)

The AI Consulting Playbook: Sell and Deliver AI Transformation

Multi-LLM Agent Collaborative Intelligence Book

Pratique et analyse du trading : exercices en temps réel: Stratégies et modèles

The Pixelated Universe: Computational Finitism and the End of Infinity

Bayesian Networks for Artificial Intelligence: Build Smarter AI Systems with Probabilistic Models, Inference, and Decision-Making

The Financial Data Factory: How AI, Variance Awareness, and Structured Judgement Create Early Understanding and Planned Response (Practitioners Series)

Ethical Artificial Intelligence In Modern Medicine: Evidence, Equity, and Accountability for The Modern Clinician

Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python

Rising Profits - Mastering Bullish Pattern Recognition

Computational Physics Lab: Electromagnetism & Modern Physics

Knowledge-Driven Multilingual Text Analysis and Transparent Information Retrieval: Language Technology for Industrial Applications (Cognitive Technologies)

Data Analytics for Business: AI-ML-PBI-SQL-R

Deep Learning Models for Economic Research (Routledge Studies in Economic Theory, Method and Philosophy)

Computational Physics Lab: Mechanics & Thermodynamics

The Creator's Evidence: A Multidisciplinary Case for Biblical Truth (Apologetics)