Algorithmic Short Selling with Python: Refine your algorithmic trading edge, consistently generate investment ideas, and build a robust long/short product

Algorithmic Short Selling with Python: Refine your algorithmic trading edge, consistently generate investment ideas, and build a robust long/short product

Algorithmic Short Selling with Python: Refine your algorithmic trading edge, consistently generate investment ideas, and build a robust long/short product

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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Overview

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.


Product Details

ISBN-13: 9781801810395
Publisher: Packt Publishing
Publication date: 09/30/2021
Sold by: Barnes & Noble
Format: eBook
Pages: 376
File size: 10 MB

About the Author

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

Table of Contents
  1. The Stock Market Game
  2. 10 Classic Myths About Short-Selling
  3. Take a Walk on the Wild Short-Side
  4. Long/Short Methodologies: Absolute and Relative
  5. Regime Definition
  6. The Trading Edge is a Number, and Here is the Formula
  7. Improve Your Trading Edge
  8. Position Sizing: Money is Made in the Money Management Module
  9. Risk is a number
  10. Refining the Investment Universe
  11. The Long/Short Toolbox
  12. Signals and Execution
  13. Portfolio Management System
  14. Appendix
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