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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

What do investors really want?

The long/short industry seems to go through a severe existential crisis every time the market "hits a soft patch." Investors are rudely reminded that downside protection only means limited downside with virtually no upside. The industry has operated from a "build it and they will come" product supply model. If the objective is to build sustainable businesses, it is high time we paused and looked at the world from an investor's perspective. This will provide crucial context to build a long/short product that meets investors' demands step by step.

Lessons from the 2007 quants debacle

"And so castles made of sand,
melt into the sea,
eventually."

– Jimi Hendrix

In August 2007, cross-sectional volatility took markets around the world by surprise. Although indices did not move much, constituents jumped across the board for a few days. Soon, rumors of unwinding from various quantitative...

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