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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

The unique challenges of the short side

"When things go wrong, don't go with them."

– Elvis Presley, the King

People fail at short selling because they overlook three critical factors working against them: market dynamics, scarcity mentality, and asymmetry of information.

Market dynamics: short selling is not a stock-picking contest, but a position-sizing exercise

"This is space, the environment does not cooperate."

– The Martian

Successful longs expand. Successful shorts contract. On the long side, the market does the heavy lifting. On the short side, the market does not cooperate. Unsuccessful shorts balloon, while the successful ones shrink.

To illustrate this point, let's take a look at the table below. Imagine we have four stocks: two on the long side (A and B) and two on the short (C and D). The objective here is to illustrate how the long and short sides behave differently...

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