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Machine Trading
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Table of Contents

Preface ix

Chapter 1 The Basics of Algorithmic Trading 1

Chapter 2 Factor Models 27

Chapter 3 Time-Series Analysis 59

Chapter 4 Artificial Intelligence Techniques 83

Chapter 5 Options Strategies 119

Chapter 6 Intraday Trading and Market Microstructure 159

Chapter 7 Bitcoins 201

Chapter 8 Algorithmic Trading Is Good for Body and Soul 215

Bibliography 227

About the Author 235

Index 237

About the Author

ERNEST P. CHAN is the managing member of QTS Capital Management, LLC, a commodity pool operator and trading advisor since 2011. An alumnus of Morgan Stanley and Credit Suisse, he received his PhD in physics from Cornell University, and was a researcher in machine learning at IBM's T. J. Watson Research Center before joining the financial industry. He is the author of Quantitative Trading and Algorithmic Trading. Find out more about Ernie at www.epchan.com.

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