Electronic and Algorithmic Trading Technology: The Complete Guide »

Kendall Kim consults as a Business Analyst and lives in Greenwich, CT. He specializes in delivering technology solutions to Wall Street securities firms. In this role he has been responsible for the specification and implementation of large trading, risk management, and real-time market data systems. He has consulted and worked for firms such as UBS Investment Bank, Deutsche Bank, and Goldman Sachs. Kendall holds a bachelor's degree in Economics from Boston University, Boston, MA and a master's degree in Business Administration from The College of William and Mary, Williamsburg, VA.

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.

CHAPTER 1 Overview of Program and Algorithmic Trading

CHAPTER 2 Automating Trade and Order Flow

CHAPTER 3 The Growth of Program and Algorithmic Trading

CHAPTER 4 Alternative Execution Venues

CHAPTER 5 Algorithmic Strategies

CHAPTER 6 Algorithmic Feasibility and Limitations

CHAPTER 7 Electronic Trading Networks

CHAPTER 8 Effective Data Management

CHAPTER 9 Minimizing Execution Costs

CHAPTER 10 Transaction Cost Research (TCR)

CHAPTER 11 Program and Algorithmic Trading for Different Asset Classes

CHAPTER 12 Regulation NMS and other Regulatory Challenges

CHAPTER 13 Build vs. Buy

CHAPTER 14 Trading Technology and Prime Brokerage

CHAPTER 15 Profiling The Leading Vendors

Appendix

Implementation of Trading Systems