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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

Summary

Managing a long/short portfolio feels like upgrading from a family SUV to a sports car. Without proper training, people tend to take their shiny new toy for an off-road spin. In this chapter, we looked at the major levers to engineer the returns you need to attract the clientele you want. Those are gross exposure or leverage, portfolio heat or open risk, net exposure or directionality, net beta or residual sensitivity to the market, and concentration or the net number of names in the portfolio. Those variables give access to volatility, performance, correlation, and liquidity as in market impact.

Over the next chapters, we will take you through a step-by-step method to build an equities long/short product. We will use a powerful technique to reclassify stocks in a bullish, bearish, sideways regime. From there, we will discuss execution: entries, exits, order prioritization. We will conclude with a portfolio management system, the most underrated tool. But first, let&apos...

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