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Algorithmic Short Selling with Python

You're reading from  Algorithmic Short Selling with Python

Product type Book
Published in Sep 2021
Publisher Packt
ISBN-13 9781801815192
Pages 376 pages
Edition 1st Edition
Languages
Author (1):
Laurent Bernut Laurent Bernut
Profile icon Laurent Bernut

Table of Contents (17) Chapters

Preface The Stock Market Game 10 Classic Myths About Short Selling 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

Risk is a Number

"Facts are stubborn, but statistics are more pliable."

– Mark Twain

At the end of the day, whether you trade U.S. equities, pork bellies, or colorful language with your significant other, you trade only one thing: risk. Academics build their careers on developing complicated abstract metrics with fancy names. The more arcane, the more likely they will land tenure somewhere. Proof by mathematical intimidation is an easy path to a cushy academic tenure. Unfortunately, those metrics ignore the experience of unsophisticated clients who stomach gut-wrenching drawdowns. When market participants and investors cannot reconcile abstract numbers with the reality of managing portfolios, they fall back on stories.

In this chapter, we will introduce three metrics: Grit Index, Common Sense Ratio, and t-stat of gain expectancy. The objective is to demystify risk and bring it back to something everyone can intuitively relate to.

We will...

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