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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

Interpreting risk

On the short side, the markets do not cooperate. Market Darwinism dictates that short sellers become exceptional risk managers. In the coming sections, we will explore three vastly underrated risk metrics and their source code. Calibrate risk using any or all of them, and you may have a long-term fighting chance. When asked about risk, market participants usually do one of two things.

The first one is to roll out a battery of metrics. They start with the Sharpe ratio, add a measure of tracking error, spice it up with Sortino, a teaspoon of Treynor, a drop of Jensen Alpha to make it look good, apply the finishing touch with information ratio, and it is ready to serve to a bunch of incredulous clients, who pretend to love the number "haute-cuisine." The indiscriminate proliferation of metrics tells us one thing: we are hardwired to not understand risk.

The second thing market participants do is to drop into dissertation mode. They tell...

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