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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

Building a robust portfolio management system

Below is a quick step-by-step guide to building a robust PMS. Remember that each PMS requires a high degree of customization. You are building your own Iron Man suit. As a result, this guide will remain fairly vague.

  • Formalize your strategy into simple trading decisions: buy/sell, how much, at what price. A trading sequence is fairly straightforward. Draw a flowchart and fill the sequence.
  • Add decisions that come out of risk management: liquidity, weight, borrow utilization, net beta, and gross and net exposure. We saw earlier a risk reduction across the entire portfolio.
  • From your monitoring tool, create a separate trading sheet with each trading decision in a separate column. This minimalist monitoring tool is particularly efficient for large portfolios.
  • Beyond your field of vision, embed your trading rules. This can be columns in the far right of the sheet, macros on Excel, and scripts on Python. All you...
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