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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

The science of the stop loss

"Profits look big only to the extent losses are kept small."

– Michael Martin

Most market participants have some vague idea that losses hurt the bottom line. They have just never really visualized the damage. Losses work geometrically against you. A 50% drawdown means you will have to make 100% profit just to get back to break even. As an example: someone buys a stock at 100. You take the other side of the trade and escort it down to 50. The tourist holds on all this time because the long-term story is still intact. That obstinate amateur will have to clock 100% to make it back to break-even.

The innocuous graph below shows something powerful enough to convince any rational market participant that keeping losses small is the only way to go. The lower line represents drawdowns from peak to -90%. The upper line represents the percentage growth needed to recoup those drawdowns. At -10% drawdown, the account must...

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