Machine Trading – Deploying Computer Algorithms to Conquer the Markets

Machine Trading – Deploying Computer Algorithms to Conquer the Markets

Description:

Dive into algo trading with step-by-step tutorials and expert insightMachine Trading is a practical guide to building your algorithmic trading business. Written by a recognized trader with major institution expertise, this book provides step-by-step instruction on quantitative trading and the latest technologies available even outside the Wall Street sphere. You’ll discover the latest platforms that are becoming increasingly easy to use, gain access to new markets, and learn new quantitative strategies that are applicable to stocks, options, futures, currencies, and even bitcoins. The companion website provides downloadable software codes, and you’ll learn to design your own proprietary tools using MATLAB. The author’s experiences provide deep insight into both the business and human side of systematic trading and money management, and his evolution from proprietary trader to fund manager contains valuable lessons for investors at any level.

Algorithmic trading is booming, and the theories, tools, technologies, and the markets themselves are evolving at a rapid pace. This book gets you up to speed, and walks you through the process of developing your own proprietary trading operation using the latest tools.

Utilize the newer, easier algorithmic trading platforms
Access markets previously unavailable to systematic traders
Adopt new strategies for a variety of instruments
Gain expert perspective into the human side of trading
The strength of algorithmic trading is its versatility. It can be used in any strategy, including market-making, inter-market spreading, arbitrage, or pure speculation; decision-making and implementation can be augmented at any stage, or may operate completely automatically. Traders looking to step up their strategy need look no further than Machine Trading for clear instruction and expert solutions.

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

Author Information
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.

Bond -Stock Trading course: Learn about Bond -Stock Trading

Bond trading definition
Bond trading is one way of making profit from fluctuations in the value of corporate or government bonds.
Many view it as an essential part of a diversified trading portfolio, alongside stocks and cash.

A bond is a financial instrument that works by allowing individuals to loan cash to institutions such as governments or companies.
The institution will pay a defined interest rate on the investment for the duration of the bond, and then give the original sum back at the end of the loan’s term.

A stock trader or equity trader or share trader is a person or company involved in trading equity securities.
Stock traders may be an agent, hedger, arbitrageur, speculator, stockbroker.
Such equity trading in large publicly traded companies may be through a stock exchange.
Stock shares in smaller public companies may be bought and sold in over-the-counter (OTC) markets.

Stock traders can trade on their own account, called proprietary trading, or through an agent authorized to buy and sell on the owner’s behalf.
Trading through an agent is usually through a stockbroker. Agents are paid a commission for performing the trade.

Major stock exchanges have market makers who help limit price variation (volatility) by buying and selling a particular company’s shares on their own behalf and also on behalf of other clients.

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