How to Build Your Own Algorithmic Trading Business (Wiley Trading)
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|Format:||Electronic Book Text, 182 pages|
|Published In: ||United States, 13 November 2008|
An innovative guide to understanding and implementing highly effective algorithmic trading techniques
The business of algorithmic trading was an activity once reserved for only traders at hedge funds or the proprietary trading operations of financial institutions. Not so anymore says Author [A01] Ernie Chan, a proprietary trader and blogger who runs the quantitative trading blog site, epchan.blogspot.com. In Quantitative Trading, Chan shows investors how to use Excel and MATLAB(r) to build their own algorithmic trading tools using a budget even a home day trader can afford. He then reveals how to conduct quantitative research and analysis, and discusses what it takes to turn quantitative trading strategies into profits using stocks, ETFs, and other financial instruments. Chan also provides downloadable spreadsheets and MATLAB programs that tie into material covered throughout this book.
Ernest P. Chan, PhD (New York, NY), is a quantitative trader and consultant who advises clients on how to implement automated, statistical trading strategies.
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.
|Publisher: ||John Wiley & Sons|