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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

Higher highs/higher lows

This is another popular method. Stocks that trend up make higher highs and higher lows. Conversely, stocks trending down make lower lows and lower highs in that order, and therefore suggest sustained weakness. This method makes intuitive sense. Unfortunately, it is not statistically as robust as it looks. Markets sometimes print lower/higher lows/highs that throw calculations off, before resuming their journey. Secondly, this method requires three conditions to be simultaneously met:

  1. A lower low.
  2. A lower high.
  3. Both lower low and lower high conditions must be met sequentially, which only works in orderly markets.

Those three conditions have to be met consecutively in that precise order for the regime to turn bearish. Markets are random and noisier than people generally assume.

The main advantage of this method are entries and exits. On the long side, buy long on a low and exit on a high. On the short side, sell short on a...

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