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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

How to tilt your trading edge if your dominant style is mean reversion

"Grant me the serenity to cut the losers,The courage to ride the winners,And the wisdom to know the difference."

– The trader's serenity prayer

Mean reversion strategies have a negative skew with a mode on the profit side: short right and long left tails. The solution is to shorten the left tail and elongate the right one.

Mean reversion market participants are naturally gifted at short selling. They short on a high and cover at a low. They are also better equipped to deal with sideways markets. The main danger however is to ignore the regime. While it is tempting to short rich valuations, or overbought RSI, stocks on an uptrend will often continue on their ascending trajectory. For example, RSI will travel from 40 to 80 on bullish stocks, and 60 to 20 on bearish ones. Overbought and oversold conditions are usually signs of continuation.

The solution is...

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