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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

Playing the short selling game

"Follow me if you want to live."

– Arnold Schwarzenegger, Terminator

The mechanics of short selling are deceptively simple. For example, you sell a stock at 100, buy it back at 90, and pocket the 10. It works in absolute or relative to a benchmark. There is only one additional step that needs to take place before the short sale. Short sellers deliver shares they do not own. So, they borrow those shares from a stock lending desk with their brokerage house first. Once they buy the shares back and close the trade, they return those shares.

Do not let that simplicity fool you. Due to the infinite, complex, random nature of the game that we have considered in this chapter, 90% of market participants fail. Of the remaining 10%, fewer than half will ever engage in short selling. That is the unapologetic reality of the markets.

Our objective is to navigate these challenges and succeed on both sides of the portfolio...

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