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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

Building a combined risk metric

The next three metrics are arguably closer approximations of risk and are more intuitive.

The Grit Index

"When I left the dining room after sitting next to Gladstone, I thought he was the cleverest man in England. But when I sat next to Disraeli, I left feeling that I was the cleverest woman."

– Jennie Jerome, mother of Winston Churchill

Investors often seem to act counterintuitively to their interests. They say they want returns, but they react to drawdowns. More specifically, they react to drawdowns in three ways:

  • Magnitude: never test the stomach of your investors
  • Frequency: never test the nerves of your investors
  • Period of recovery: never test the patience of your investors

The Grit Index is arguably the most underrated metric in the entire finance multiverse. Less than a handful of metrics capture robustness so elegantly. Broadly speaking, it looks at downside risk by...

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