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Algorithmic Short Selling with Python

You're reading from  Algorithmic Short Selling with Python

Product type Book
Published in Sep 2021
Publisher Packt
ISBN-13 9781801815192
Pages 376 pages
Edition 1st Edition
Languages
Author (1):
Laurent Bernut Laurent Bernut
Profile icon Laurent Bernut

Table of Contents (17) Chapters

Preface The Stock Market Game 10 Classic Myths About Short Selling 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 Methodologies: Absolute and Relative

In this chapter, we will be comparing methodologies, with a particular focus on absolute versus relative series. Absolute series are the Open High Low Close (OHLC) prices you can see on any website or platform. They often come either adjusted for dividends, stock splits, and other corporate actions. Relative series are the above absolute series divided by the closing price of the benchmark, adjusted for currency.

We hope to demonstrate the weaknesses of the absolute method, and strengths of the relative weakness method, which will define our methodology for the rest of the book. We will cover the following topics on the way:

  • Importing libraries
  • Long/Short 1.0: The absolute method
  • Long/Short 2.0: The relative weakness method

    You can access color versions of all images in this chapter via the following link: https://static.packt-cdn.com/downloads/9781801815192_ColorImages.pdf. You can also access...

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