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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

Concepts

Financial Technology

Author (1):

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

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Index

Appendix: Stock Screening

Long/Short 1.0: the absolute method

"'But the Emperor has nothing at all on!', said a little child.

'Listen to the voice of innocence!', exclaimed his father."

– Arthur Andersen

The absolute method makes intuitive sense: buy stocks that go up, short stocks that go down. There is a one-to-one relationship between data coming from various providers, price charts on the screen, and what goes into the portfolio. Everybody speaks the same language. Investors, market commentators, and various other market participants talk about the same price and generally valuation levels. Shorting stocks that go down in absolute value generates cash that can be used to buy additional stocks on the long side and increase leverage.

There is only one small problem: the product does not always do what it says on the tin. Let's keep it civil: the absolute method has been a crass utter failure from the get-go and the following sections...

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Authors (1)

Laurent Bernut

Laurent Bernut has 2 decades of experience in alternative investment space. After the US CPA, he compiled financial statements in Japanese and English for a Tokyo Stock Exchange-listed corporation. After serving as an analyst in two Tokyo-based hedge funds, he joined Fidelity Investments Japan as a dedicated quantitative short-seller. Laurent has built numerous portfolio management systems and developed several quantitative models across various platforms. He currently writes and runs algorithmic strategies and is an undisputed authority on short selling on Quora, where he was nominated top writer for 2017, 2018, and 2019.

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