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Synopsis
Business/Finance
Electronic and Algorithmic Trading Technology The Complete Guide
Kendall Kim
“Kendall Kim's work is a thorough snapshot of the world of automated trading… Packed with examples and anecdotes, it makes an impressive reference guide to the multitudes of algorithms, systems and regulations in existence across the globe.”
—Matthew J. Smalley, Director - ETD Execution Technology, UBS Investment Bank
“Kendall Kim provides readers with a valuable insight into the highly specialized world of computer trading. This includes key terminology and definitions, regulatory background, and industry drivers. In addition, the book provides an overview of the technologies and methodologies that comprise this complex industry. Electronic and Algorithmic Trading Technology is a roadmap to the world of computer trading and is an essential reading for both buy- and sell-side market participants.”
—Sean Gilman, CTO, Currenex
“Kendall Kim has managed to give a comprehensive overview of the mechanisms, the competitive landscape, and even some forecasts on the complex and quickly evolving topic of electronic and algorithmic trading technology. Deep domain knowledge is critical to success on Wall Street. Anyone who wants to learn more about this rapidly evolving phenomenon can benefit by reading Kendall’s book.”
—Jeff Hudson, CEO, Vhayu Technologies Corporation
“Electronic and Algorithmic Trading Technology is an excellent resource for both academics and financial professionals… Kendall Kim has managed to provide an insightful, engaging, and eminently accessible summary of the core elements of algorithmic and electronic trading, the challenges faced by all trading businesses today, and what lies in store for the future of trading across a multitude of asset classes.”
—Manny Santayana, Managing Director Advanced Execution Services-Equities, Credit Suisse
Electronic and Algorithmic Trading Technology is the ultimate guide for trading managers, brokers, and back-office processing directors to understand the new technologies that can cut transaction costs, eliminate human error, boost trading efficiency, and supplement productivity—in short, save and make money for the firm.
Kendall Kim consults as a Business Analyst based out of New York, NY. He has consulted and worked for firms such as UBS Investment Bank, Deutsche Bank and Goldman Sachs. He specializes in delivering technology solutions to Wall Street securities firms.