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.