Anonymous shelf assessment
Introduction to Algorithmic Trading and DMA
Shelf score 8.0 / 10
On Algorithmic trading & DMA · Barry Johnson · Risk Books
Published 21 March 2026
This guide offers insights into direct access trading strategies and algorithmic trading.
Overview
Algorithmic Trading & DMA provides a thorough exploration of direct access trading strategies, with a particular emphasis on algorithmic trading and its impact on market microstructure. The text serves as a resource for traders and analysts, equipping them with essential mathematical models and practical insights necessary for navigating the complexities of modern trading environments.
Published by Risk Books in 2010, the book spans 574 pages and is aimed at an intermediate reading level. It covers topics such as investment analysis, market microstructure, and quantitative methods, making it suitable for those involved in trading and financial analysis.
By area & interest
Comprehensive Coverage
The book addresses a wide range of topics related to algorithmic trading, including mathematical models and practical trading strategies.
Target Audience
Designed for traders, analysts, and researchers, this guide provides the necessary tools and insights for those looking to enhance their understanding of direct access trading.
Market Microstructure Insights
The text delves into the implications of algorithmic trading on market microstructure, offering valuable perspectives for practitioners in the field.
Basis of this assessment
This assessment is based on the catalogue description and Google Books metadata.
Strengths
The book's comprehensive approach to algorithmic trading and its practical insights make it a valuable resource for traders and analysts seeking to deepen their understanding of direct access trading strategies.
Limitations
The intermediate reading level may pose challenges for beginners, and the depth of mathematical content may not appeal to all readers.
Ideal reader
This book is ideal for intermediate traders and analysts who are looking to enhance their knowledge of algorithmic trading and its application in modern financial markets.