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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

Regardless of the asset class, there are only two strategies

Jack Schwager often points out that there is no universal holy grail. Market wizards come in all shapes and forms, sometimes even with contradicting strategies. They have one thing in common though. They excel at managing risk and controlling losses. They consistently focus on the downside. Winning positions take care of themselves. Market participants' job is to take care of losers.

Market participants usually define themselves by "what" they trade (asset class, markets, time horizon), rarely "how" they trade. Regardless of the asset class, there are only two types of strategies: trend following and mean reversion. The reason why there are only two strategies is not entries but exits. How you choose to close a trade determines your dominant trading style. The mean reversion camp closes early when inefficiencies are corrected. The trend-following crowd loves to ride their winners. A classic example...

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