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Algorithmic Short Selling with Python

You're reading from   Algorithmic Short Selling with Python Refine your algorithmic trading edge, consistently generate investment ideas, and build a robust long/short product

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Product type Paperback
Published in Sep 2021
Publisher Packt
ISBN-13 9781801815192
Length 376 pages
Edition 1st Edition
Languages
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Author (1):
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Laurent Bernut Laurent Bernut
Author Profile Icon Laurent Bernut
Laurent Bernut
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Table of Contents (17) Chapters Close

Preface The Stock Market Game 10 Classic Myths About Short Selling FREE CHAPTER Take a Walk on the Wild Short Side Long/Short Methodologies: Absolute and Relative Regime Definition The Trading Edge is a Number, and Here is the Formula Improve Your Trading Edge Position Sizing: Money is Made in the Money Management Module Risk is a Number Refining the Investment Universe The Long/Short Toolbox Signals and Execution Portfolio Management System Other Books You May Enjoy
Index
Appendix: Stock Screening

Take a Walk on the Wild Short Side

"In theory, theory and practice are the same. In practice, they are different."

– Yogi Berra, Yankees philosopher

Short selling is a secret fantasy for many long-only participants. They have all come across some stock they have analyzed, concluded it was doomed to fail, and wished they could short it. Then, they watched it crater. They feel confident their analytical superpowers would work wonders on the short side as well. It all works well in theory until it has to work in practice. When market participants come to the world of short selling, they assume they should simply do the opposite of what they do on the long side.

In this chapter, we will map the journey from the long side to the short side. We consider why most traders think they can sell short yet fail in practice. First, we will look at why shorting on valuations fails. Then, we will eviscerate the structural short tourist trap for good...

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