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Algorithmic Trading

Winning Strategies and Their Rationale
By Ernie Chan
Series: Wiley Trading
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Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Algorithmic Trading by Ernie Chan is a comprehensive guide that delves into the strategies of developing and implementing algorithmic trading systems. The book walks you through the essential components of building a trading model, the management of risk, and the various technical tools used in the trading industry. It is a valuable resource for those interested in cutting-edge financial techniques and strategy development in trading.
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Format: Hardback
$15099
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

If you're intrigued by the world of finance and have a keen interest in harnessing the power of algorithms for trading, this book delves into the practical applications of quantitative strategies and statistical models, making it a compelling read for aspiring quants and experienced traders alike.

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Algorithmic Trading

Focuses on quantitative trading. This book offers readers an insight into how and why each trading strategy was developed, how it was implemented, and even how it was coded. It is suitable for anyone looking to create their own systematic trading strategies.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

Praise for Algorithmic Trading

Algorithmic Trading is an insightful book on quantitative trading written by a seasoned practitioner. What sets this book apart from many others in the space is the emphasis on real examples as opposed to just theory. Concepts are not only described, they are brought to life with actual trading strategies, which give the reader insight into how and why each strategy was developed, how it was implemented, and even how it was coded. This book is a valuable resource for anyone looking to create their own systematic trading strategies and those involved in manager selection, where the knowledge contained in this book will lead to a more informed and nuanced conversation with managers.

—DAREN SMITH, CFA, CAIA, FSA, Managing Director, Manager Selection & Portfolio Construction, University of Toronto Asset Management

Using an excellent selection of mean reversion and momentum strategies, Ernie explains the rationale behind each one, shows how to test it, how to improve it, and discusses implementation issues. His book is a careful, detailed exposition of the scientific method applied to strategy development. For serious retail traders, I know of no other book that provides this range of examples and level of detail. His discussions of how regime changes affect strategies, and of risk management, are invaluable bonuses.

—ROGER HUNTER, Mathematician and Algorithmic Trader

Series: Wiley Trading

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Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?

Algorithmic Trading by Ernie Chan receives praise for its practical insights into the world of finance and investment, especially with its focus on quantitative trading strategies. Readers appreciate its straightforward explanations and the way it effectively bridges complex concepts, making them accessible to both novices and experienced traders. The book is lauded for its use of real-world examples and code snippets, providing valuable guidance to those interested in implementing algorithmic trading models.

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Book Details

INFORMATION

ISBN: 9781118460146

Publisher: John Wiley & Sons Inc

Format: Hardback

Date Published: 16 July 2013

Country: United States

Imprint: John Wiley & Sons Inc

Audience: Professional and scholarly

DIMENSIONS

Spine width: 20.0mm

Width: 155.0mm

Height: 231.0mm

Weight: 476g

Pages: 224

Collections

Ernie Chan Finance & Economics Finance & Investment Non-Fiction Series: Wiley Trading

About the Author

ERNEST P. CHAN is the Managing Member of QTS Capital Management, LLC. He has worked for various investment banks (Morgan Stanley, Credit Suisse, Maple) and hedge funds (Mapleridge, Millennium Partners, MANE) since 1997. Chan received his PhD in physics from Cornell University and was a member of IBM's Human Language Technologies group before joining the financial industry. He was a cofounder and principal of EXP Capital Management, LLC, a Chicago-based investment firm. Chan is also the author of Quantitative Trading: How to Build Your Own Algorithmic Trading Business (Wiley) and a popular financial blogger at http://epchan.blogspot.com. Find out more about him at www.epchan.com.

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