Algorithmic Short Selling with Python

£30.98

Algorithmic Short Selling with Python

Refine your algorithmic trading edge, consistently generate investment ideas, and build a robust long/short product

Authors: Laurent Bernut, Michael Covel

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Language: English

Published by: Packt Publishing

Published on: 30th September 2021

Format: LCP-protected ePub

Size: 376 pages

ISBN: 9781801810395


Leverage Python source code to revolutionize your short selling strategy and to consistently make profits in bull, bear, and sideways markets

Key Features

Understand techniques such as trend following, mean reversion, position sizing, and risk management in a short-selling context

Implement Python source code to explore and develop your own investment strategy

Test your trading strategies to limit risk and increase profits

Book Description

If you are in the long/short business, learning how to sell short is not a choice. Short selling is the key to raising assets under management. This book will help you demystify and hone the short selling craft, providing Python source code to construct a robust long/short portfolio. It discusses fundamental and advanced trading concepts from the perspective of a veteran short seller.

This book will take you on a journey from an idea (“buy bullish stocks, sell bearish ones”) to becoming part of the elite club of long/short hedge fund algorithmic traders. You''ll explore key concepts such as trading psychology, trading edge, regime definition, signal processing, position sizing, risk management, and asset allocation, one obstacle at a time. Along the way, you''ll will discover simple methods to consistently generate investment ideas, and consider variables that impact returns, volatility, and overall attractiveness of returns.

By the end of this book, you''ll not only become familiar with some of the most sophisticated concepts in capital markets, but also have Python source code to construct a long/short product that investors are bound to find attractive.

What you will learn

Develop the mindset required to win the infinite, complex, random game called the stock market

Demystify short selling in order to generate alpha in bull, bear, and sideways markets

Generate ideas consistently on both sides of the portfolio

Implement Python source code to engineer a statistically robust trading edge

Develop superior risk management habits

Build a long/short product that investors will find appealing

Who this book is for

This is a book by a practitioner for practitioners. It is designed to benefit a wide range of people, including long/short market participants, quantitative participants, proprietary traders, commodity trading advisors, retail investors (pro retailers, students, and retail quants), and long-only investors.

At least 2 years of active trading experience, intermediate-level experience of the Python programming language, and basic mathematical literacy (basic statistics and algebra) are expected.

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