Overview
Building Winning Algorithmic Trading Systems is a book by Kevin J. Davey, first published in 2014. In this catalogue it is classified mainly under Algorithmic Trading and Portfolio Optimization, with secondary coverage of Numerical Methods and High-Frequency Trading.
Audience and depth. The rule-based model places its mathematical difficulty at advanced level (7/10); readers are typically expected to know calculus, linear algebra, numerical analysis, probability theory and stochastic processes.
Orientation. The theory-versus-practice balance could not be determined from metadata. The archive holds 6 papers whose topics and vocabulary overlap with this book; those links are inferred (see the research connections below).
How to read this page. Topics, difficulty, prerequisites and orientation are model-derived (rule-based, rule_based_v1) from bibliographic metadata such as title, subject headings and edition data. They were not produced by reading the book and are not a review. Relevance confidence is 96% and difficulty confidence is 66%; the catalogue lists no ratings or awards.