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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

Summary

In this chapter, we did not have a polite conversation about risk. We explored risk metrics that will unapologetically assess your ability to live to trade another day. We considered the Grit Index, which integrates drawdowns (magnitude, frequency, and duration). Then, we introduced the common sense ratio, which recaptures risk specific to both trend-following and mean reversion strategies. Finally, we looked at the system quality number ratio, before combining all three into a combined robustness score, which helps assess risk by combining trading frequency and trading edge.

In Part II, The Outer Game: Developing a Robust Trading Edge, we looked at how to generate ideas on the short side. We then looked at what the trading edge exactly is and how to boost it. We came up with an innovative equity trading algorithm. Finally, we looked at risk metrics that really measure robustness.

Now that we have plenty of ideas on both sides, and know how to size and prioritize them...

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