A hands-on guide to high frequency trading strategies and models
Accounting for over sixty percent of stock market trading volume and generating huge profits for a small number of firms, high frequency trading is one of the most talked about topics in the world of finance. Given the success of this approach, many firms are quickly beginning to implement their own high frequency strategies.
In High Frequency Trading Models, Dr. Gewei Ye describes the technology, architecture, and algorithms underlying current high frequency trading models, which exploit order flow imbalances and temporary pricing inefficiencies. Along the way, he explains how to develop a HFT trading system and introduces you to his own system for building high frequency strategies based on behavioral algorithms.
Engaging and informative, High Frequency Trading Models is a must-read for anyone who wants to stay ahead of the curve in this hot new area.
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GEWEI YE, PhD, teaches graduate-level courses on financial engineering, derivatives, and program trading strategies at Johns Hopkins University. Recently, he has released the Sentiment Asset Pricing Engine (SAPE), a Web-based strategy builder for algorithmic trading and high-frequency trading systems (http://sap.yeswici.com). Dr. Ye has been a senior architect or consultant for investment and technology companies such as CitiBank, T. Rowe Price, Federal Reserve Banks, and IBM. He has published about forty articles in peer-reviewed journals or conference proceedings and has been building financial models and computing systems for ten years. Dr. Ye earned a PhD degree from University of Tilburg, the Netherlands.
Gewei Ye, PhD, teaches graduate-level courses on financial engineering, derivatives, and program trading strategies at Johns Hopkins University. Recently, he has released the Sentiment Asset Pricing Engine (SAPE), a Web-based strategy builder for algorithmic trading and high-frequency trading systems (http://sap.yeswici.com). Dr. Ye has been a senior architect or consultant for investment and technology companies such as CitiBank, T. Rowe Price, Federal Reserve Banks, and IBM. He has published about forty articles in peer-reviewed journals or conference proceedings and has been building financial models and computing systems for ten years. Dr. Ye earned a PhD degree from University of Tilburg, the Netherlands.
PRAISE FOR
HIGH-FREQUENCY TRADING MODELS
"In his new book, Dr. Ye develops fascinating cross-discipline applications and applies them in a high-frequency setting. Sentiment analysis is a particularly interesting subject included in the book."
IRENE ALDRIDGE, quantitative portfolio manager and managing partner, Able Alpha Trading, Ltd., and author, High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems
"A very detailed discussion on the topic of high-frequency stock trading."
KARYL B. LEGGIO, PhD, Dean, Sellinger School of Business and Management, Loyola University, Maryland
Filled with in-depth insights and expert advice, this reliable resource takes you through the technology, architecture, and algorithms underlying high-frequency trading models. Along the way, it skillfully covers a variety of issues, including existing revenue models; new revenue models, which include high-frequency trading in derivatives markets; theoretical models for building unique investment strategies for high-frequency trading; and computer algorithms for high-frequency trading and portfolio management.
And to enhance your understanding of the concepts covered within these pages, author Gewei Ye's Web site, Yeswici.com which is also a quantitative modeling and computing platform for innovative investment research contains ancillary materials of the models and computer algorithms mentioned throughout this book.
Engaging and informative, High-Frequency Trading Models is a must-read for anyone who wants to make the most of their time in today's dynamic markets.
Accounting for over 60 percent of equity trading volume and generating huge profits for a number of firms, high-frequency trading is one of the most talked about topics in the world of finance. Given the success of this approach, many institutions and individuals are looking for ways to make high-frequency trading work for them.
In High-Frequency Trading Models, Dr. Gewei Ye describes the technology, architecture, and algorithms (algos) underlying current high-frequency trading models, which exploit order flow imbalances and temporary pricing inefficiencies. Along the way, he explains how to develop a high-frequency trading system and introduces you to his own system for building high-frequency strategies based on behavioral algos.
Divided into four comprehensive parts, this timely guide:
Describes the fundamental revenue models of high-frequency trading
Introduces a series of theoretical models behavioral, financial, and quantitative for building unique investment strategies for high-frequency trading
Develops a unique set of computer algos, called Sentiment Asset Pricing Engine (SAPE), to automate the process of building behavioral strategies for high-frequency trading and portfolio management
Discusses the potential of new revenue models in derivatives with high-frequency trading systems and the creation of computer algos for high-frequency trading
To help solidify your understanding of the information found here, the author's Web site, Yeswici.com, contains ancillary materials of the models and computer algos mentioned throughout this book. Yeswici.com is also a quantitative modeling and computing platform for innovative investment research, which transfers this research into Internet and mobile applications.
High-frequency trading has quickly become a profitable path in today's market. With the proliferation of computing power and algos, this approach will only continue to grow. Engaging and informative, High-Frequency Trading Models will help you stay ahead of the¿curve in this hot new area and put you in a better position to capture consistent profits along the way.
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