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By some estimates, quantitative (or algorithmic) trading now accounts for over one-third of trading volume in the United States. While institutional traders continue to implement this highly effective approach, many independent traderswith limited resources and less computing powerhave wondered if they can still challenge powerful industry professionals at their own game? The answer is "yes," and in Quantitative Trading, author Dr. Ernest Chan, a respected independent trader and consultant, will show you how.
Whether you're an independent "retail" trader looking to start your own quantitative trading business or an individual who aspires to work as a quantitative trader at a major financial institution, this practical guide contains the information you need to succeed.
Organized around the steps you should take to start trading quantitatively, this book skillfully addresses how to:
Find a viable trading strategy that you're both comfortable with and confident in
Backtest your strategywith MATLAB®, Excel, and other platformsto ensure good historical performance
Build and implement an automated trading system to execute your strategy
Scale up or wind down your strategies depending on their real-world profitability
Manage the money and risks involved in holding positions generated by your strategy
Incorporate advanced concepts that most professionals use into your everyday trading activities
And much more
While Dr. Chan takes the time to outline the essential aspects of turning quantitative trading strategies into profits, he doesn't get into overly theoretical or sophisticated theories. Instead, he highlights the simple tools and techniques you can use to gain a much-needed edge over today's institutional traders.
And for those who want to keep up with the latest news, ideas, and trends in quantitative trading, you're welcome to visit Dr. Chan's blog, epchan.blogspot.com, as well as his premium content Web site, epchan.com/subscriptions, which you'll have free access to with purchase of this book.
As an independent trader, you're free from the con-straints found in today's institutional environmentand as long as you adhere to the discipline of quantitative trading, you can achieve significant returns. With this reliable resource as your guide, you'll quickly discover what it takes to make it in such a dynamic and demanding field.
Praise for Quantitative Trading
"As technology has evolved, so has the ease in developing trading strategies. Ernest Chan does all traders, current and prospective, a real service by succinctly outlining the tremendous benefits, but also some of the pitfalls, in utilizing many of the recently implemented quantitative trading techniques."
PETER BORISH, Chairman and CEO, Computer Trading Corporation
"Dr. Ernest Chan provides an optimal framework for strategy development, back-testing, risk management, programming knowledge, and real-time system implementation to develop and run an algorithmic trading business step by step in Quantitative Trading."
YASER ANWAR, trader
"Quantitative systematic trading is a challenging field that has always been shrouded in mystery, seemingly too difficult to master by all but an elite few. In this honest and practical guide, Dr. Chan highlights the essential cornerstones of a successful automated trading operation and shares lessons he learned the hard way while offering clear direction to steer readers away from common traps that both individual and institutional traders often succumb to."
ROSARIO M. INGARGIOLA, CTO, Alphacet, Inc.
"This book provides valuable insight into how private investors can establish a solid structure for success in algorithmic trading. Ernie's extensive hands-on experience in building trading systems is invaluable for aspiring traders who wish to take their knowledge to the next level."
RAMON CUMMINS, private investor
"Out of the many books and articles on quantitative trading that I've read over the years, very few have been of much use at all. In most instances, the authors have no real knowledge of the subject matter, or do have something important to say but are unwilling to do so because of fears of having trade secrets stolen. Ernie subscribes to a different credo: Share meaningful information and have meaningful interactions with the quantitative community at large. Ernie successfully distills a large amount of detailed and difficult subject matter down to a very clear and comprehensive resource for novice and pro alike."
STEVE HALPERN, founder, HCC Capital, LLC
All you need to be an algo trader is computers and some money and some data. The algorithms are the easy part, according to the writer. Read morePublished 2 months ago by ReadABook
The book is good, the problem is that is intended for people with at least 3 years of experience in the trading field (not for the high level of the concepts if not by believe... Read morePublished 3 months ago by Francisco
Helpful book to get started, good structure and tips. Very useful, concise writing style, and valuable sources for strategies and computer platforms/architectures.Published 3 months ago by Michel-Alexandre Cardin
Easy to read? Good book? Best coding? It's really funny to read these reviews. Almost all examples have some problems with MATLAB code. First example? It doesn't work. Read morePublished 4 months ago by Gordon
Ernest P. Chan is the best coding for quant. If you want to be quantitative traders, you should buy this book, He give examples in MatLAB. Read morePublished 4 months ago by Amazon Customer
Summary from my full length review - Good introduction to trading mechanically for yourself as a retail trader. Read morePublished 5 months ago by Lawrence Chan
THIS BOOK HAS ME WONDERING HOW I CAN BE A BETTER TRADER FASTER AND USING MANY RESOURCES MENTIONED IN THE BOOK. Read morePublished 14 months ago by michael
Easy to read, you can learn more from Coursera - Computational Investing Part I.
The book give me the idea but it normal that hard to implement it.
I awarded the book only three stars because it falls short in exposing algorithmic trading.
Algorithmic trading is one of the most sophisticated tools quants practice,... Read more