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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

Summary

This short chapter is not meant to test the braincells of the reader. It is simply a collection of practical tips on how to avoid classic expensive pitfalls and meet investors' expectations. Investors do not buy into long/short products for long ideas. They want low-volatility uncorrelated returns. This chapter considered investors' expectations, while avoiding the trap of thinking of the short book as an afterthought of the more fun long book. If those problem stocks are removed from your field of vision, they will not be on your mind and this will eliminate temptation.

Once you have distilled your investment universe and understood what is expected of you by investors, it is time to pull the trigger. In the next chapters, we will put everything together, and see how this can be done in practice.

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