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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

Summary

In this chapter, we outlined the benefits of switching from absolute OHLC prices to the relative series. Absolute participants are laggard indicators while relative players lead the pack. Market participants who adopt the methodology outlined in this chapter will have a distinct edge. They will be able to build and liquidate positions ahead of the crowd. They will look like prescient investment geniuses. They will have more ideas to choose from. Their portfolios will have lower correlation to the markets, and lower volatility as well. These are traits investors are looking for.

Once all stocks are rebased relative to the benchmark in fund currency, the next step is to reclassify the investment universe according to their regime: bullish, bearish, sideways. We take this up in the next chapter.

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