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Quantitative Trading: How to Build Your Own Algorithmic Trading Business (Wiley Trading Book 381) by [Ernie Chan]

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Quantitative Trading: How to Build Your Own Algorithmic Trading Business (Wiley Trading Book 381) Kindle Edition

4.0 out of 5 stars 95 ratings

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Length: 203 pages Word Wise: Enabled Enhanced Typesetting: Enabled
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Editorial Reviews

From the Inside Flap

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 traders--with limited resources and less computing power--have 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 strategy--with MATLAB(R), Excel, and other platforms--to 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 environment--and 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.

--This text refers to the hardcover edition.

About the Author

Ernest P. Chan, PhD, is a quantitative trader and consultant who advises clients on how to implement automated statistical trading strategies. He has worked as a quantitative researcher and trader in various investment banks including Morgan Stanley and Credit Suisse, as well as hedge funds such as Mapleridge Capital, Millennium Partners, and MANE Fund Management. Dr. Chan earned a PhD in physics from Cornell University. --This text refers to the hardcover edition.

Product details

  • File size : 2760 KB
  • Publication date : January 12, 2009
  • Word Wise : Enabled
  • Print length : 203 pages
  • Publisher : Wiley; 1st edition (January 12, 2009)
  • Language: : English
  • Screen Reader : Supported
  • Text-to-Speech : Enabled
  • X-Ray : Not Enabled
  • ASIN : B001FA0GGC
  • Enhanced typesetting : Enabled
  • Lending : Enabled
  • Customer Reviews:
    4.0 out of 5 stars 95 ratings

Customer reviews

4.0 out of 5 stars
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Reviewed in the United States on November 23, 2015
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Reviewed in the United States on June 1, 2017
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Reviewed in the United States on December 22, 2019
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Reviewed in the United States on November 12, 2016
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P.
5.0 out of 5 stars Good book
Reviewed in the United Kingdom on September 9, 2019
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3.0 out of 5 stars Three Stars
Reviewed in the United Kingdom on November 3, 2014
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JORGE BARRETO
4.0 out of 5 stars Four Stars
Reviewed in the United Kingdom on July 13, 2015
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Amazon Customer
5.0 out of 5 stars Interesting book on quant trading
Reviewed in Canada on December 13, 2018
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Phds
5.0 out of 5 stars Primeiro passo
Reviewed in Brazil on September 28, 2019
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