Algorithmic Short Selling with Python

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

Laurent Bernut, Michael Covel (Autoren)

Buch | Softcover

376 Seiten

2021
Packt Publishing Limited (Verlag)
978-1-80181-519-2 (ISBN)

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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 algorithmic traders. Along the way, we will explore several key concepts, such as trading edge, frequency, signal processing, trading psychology, capital efficiency, risk management, and asset allocation, one stumbling block at a time.

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 DescriptionIf 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 alpa 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 forThis 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.

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.

Table of Contents

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
Appendix

Erscheinungsdatum	04.10.2021
Verlagsort	Birmingham
Sprache	englisch
Maße	75 x 93 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Wirtschaft ► Betriebswirtschaft / Management ► Finanzierung
ISBN-10	1-80181-519-4 / 1801815194
ISBN-13	978-1-80181-519-2 / 9781801815192
Zustand	Neuware