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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

Long/Short 1.0: the absolute method

"'But the Emperor has nothing at all on!', said a little child.

'Listen to the voice of innocence!', exclaimed his father."

– Arthur Andersen

The absolute method makes intuitive sense: buy stocks that go up, short stocks that go down. There is a one-to-one relationship between data coming from various providers, price charts on the screen, and what goes into the portfolio. Everybody speaks the same language. Investors, market commentators, and various other market participants talk about the same price and generally valuation levels. Shorting stocks that go down in absolute value generates cash that can be used to buy additional stocks on the long side and increase leverage.

There is only one small problem: the product does not always do what it says on the tin. Let's keep it civil: the absolute method has been a crass utter failure from the get-go and the following sections...

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