Algorithmic Short-Selling with Python: Refine your algorithmic trading edge, consistently generate investment ideas

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 when the markets are down. This book will help you demystify and rehabilitate the short-selling craft, providing Python source code to construct a robust long/short portfolio. It explains everything you have ever read about short selling from a long-only perspective.

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 make consistent profits from 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
Perform superior risk management for high returns
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.