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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

Let the market regime dictate the best strategy

"When you have eliminated all which is impossible, then whatever remains, however improbable, must be the truth."

– Sir Arthur Conan Doyle

Over the years, I have come to believe that the two primary determinants of performance are position sizing and market regime. Trade too big and you could be out of business. Trade too small and you do not have a business. Secondly, seasoned market participants usually have several strategies to cope with different market types.

The difficulty is which strategy to use when and more importantly when to fade them. This comes down to regime definition. The floor/ceiling method could potentially change the way you trade markets.

There are two types of strategy: mean reversion and trend following. Mean reversion works best in range-bound markets. The price oscillates around a mean in a semi-predictable fashion. Mean reversion strategies perform poorly in...

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