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Praise for Algorithmic Trading "Algorithmic Trading is an insightful book on quantitative trading written by a seasoned practitioner. What sets this book apart from many others in the space is the emphasis on real examples as opposed to just theory. Concepts are not only described, they are brought to life with actual trading strategies, which give the reader insight into how and why each strategy was developed, how it was implemented, and even how it was coded. This book is a valuable resource for anyone looking to create their own systematic trading strategies and those involved in manager selection, where the knowledge contained in this book will lead to a more informed and nuanced conversation with managers." —DAREN SMITH, CFA, CAIA, FSA, President and Chief Investment Officer, University of Toronto Asset Management "Using an excellent selection of mean reversion and momentum strategies, Ernie explains the rationale behind each one, shows how to test it, how to improve it, and discusses implementation issues. His book is a careful, detailed exposition of the scientific method applied to strategy development. For serious retail traders, I know of no other book that provides this range of examples and level of detail. His discussions of how regime changes affect strategies, and of risk management, are invaluable bonuses." —Roger Hunter, Mathematician and Algorithmic Trader Review: great book - great book Review: One Star - not as per my expectations. And it too pricey...
| Best Sellers Rank | #274,270 in Books ( See Top 100 in Books ) #527 in Investments & Securities #10,518 in Analysis & Strategy #20,781 in Reference (Books) |
| Customer Reviews | 4.4 out of 5 stars 213 Reviews |
S**H
great book
great book
K**U
One Star
not as per my expectations. And it too pricey...
R**Y
Great sequel to his original book...
As a retail participant dealing in quantitative approaches to trading and investing in futures, options and stocks, I found Dr. Chan's book very well done, pragmatic and useful. The book describes methods to locate short to long term trading strategies and to systematically make money from them over time. The author carefully describes not just the mechanics and details of several algorithmic strategies, but also their enabling market factors. Popular technical indicators are avoided in favor of a more rigorous quantitative analysis. This is not a get-rich-quick-book. Dr. Chan rightly points out that even with his strategies' trading rules, program code and backtesting discipline, trading these strategies on a daily basis is a lot tougher than people expect. Without additional homework, you could end up depleting your capital accounts. Why would he tell you all of this in view of the secrecy and mystique that quantitative traders typically exhibit? He does not describe details of extremely high frequency trading strategies or strategies with low capacity that would suffer or cease to be profitable if more capital comes into the same game. It's a great sequel to his original book, Quantitative Trading. It amplifies and expands on his earlier strategies -- and that helps you make up your own mind about their usefulness.
T**S
Segundo libro de este excelente autor.
El libro profundiza aun más que su primer libro de Trading Cuantitativo en el Trading Algorítmico planteando estrategias concretas para probarlas.
M**J
Great book on complex subject matter.
This book hits all the major important points and issues related to Algorithmic trading. If you don't have personal experience with this type of trading it will certainly fast track your knowledge. Second book I've read from Ernst, looking forward to reading the 3rd.
J**A
Excellent Book
Clearly explained concepts, along with code snippets to apply the strategies straight away. The best book I have read on the topic. Highly recommended!
C**S
Five Stars
Excellent explanation of quant strategies, with accompanying theoretical background and matlab coding
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