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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

The four horsemen of apocalyptic position sizing

"Only listen to advice from people you want to look like."

– Gilbert Bernut, father, superhero, unsung 20th-century philosopher

Whilst at Fidelity, I used to run my algorithm across other managers' portfolios. My unbridled ambition was to help my colleagues improve their performance by a whopping 0.01% at a time. Whilst it does not look like much, 1 basis point even on every other trade compounded over a year would be enough to lift a ranking from the second quartile to the rarefied atmosphere of top-decile performers.

It soon dawned upon me that the same stocks kept popping up across all portfolios. Put smart, passionate people together in a collegial atmosphere, and healthy cross-pollination naturally ensues.

What was more intriguing was the disparity in performance despite the low dispersion in holdings. One would expect similar holdings to generate similar performance. There were...

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