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Algorithmic Short Selling with Python
Algorithmic Short Selling with Python

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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Profile Icon Laurent Bernut
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zł59.99 zł177.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (29 Ratings)
eBook Sep 2021 376 pages 1st Edition
eBook
zł59.99 zł177.99
Paperback
zł221.99
Subscription
Free Trial
Arrow left icon
Profile Icon Laurent Bernut
Arrow right icon
zł59.99 zł177.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (29 Ratings)
eBook Sep 2021 376 pages 1st Edition
eBook
zł59.99 zł177.99
Paperback
zł221.99
Subscription
Free Trial
eBook
zł59.99 zł177.99
Paperback
zł221.99
Subscription
Free Trial

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Algorithmic Short Selling with Python

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Key benefits

  • 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

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.

Who is this book 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.

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Sep 30, 2021
Length: 376 pages
Edition : 1st
Language : English
ISBN-13 : 9781801810395
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Product Details

Publication date : Sep 30, 2021
Length: 376 pages
Edition : 1st
Language : English
ISBN-13 : 9781801810395
Category :
Languages :

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Table of Contents

15 Chapters
The Stock Market Game Chevron down icon Chevron up icon
10 Classic Myths About Short Selling Chevron down icon Chevron up icon
Take a Walk on the Wild Short Side Chevron down icon Chevron up icon
Long/Short Methodologies: Absolute and Relative Chevron down icon Chevron up icon
Regime Definition Chevron down icon Chevron up icon
The Trading Edge is a Number, and Here is the Formula Chevron down icon Chevron up icon
Improve Your Trading Edge Chevron down icon Chevron up icon
Position Sizing: Money is Made in the Money Management Module Chevron down icon Chevron up icon
Risk is a Number Chevron down icon Chevron up icon
Refining the Investment Universe Chevron down icon Chevron up icon
The Long/Short Toolbox Chevron down icon Chevron up icon
Signals and Execution Chevron down icon Chevron up icon
Portfolio Management System Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7
(29 Ratings)
5 star 89.7%
4 star 0%
3 star 3.4%
2 star 6.9%
1 star 0%
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Guy R. Porter Sep 24, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
If you're trading for your own account or managing portfolios for other investors, the insights in this book are priceless. As a short seller, Bernut's methods shine in market crashes especially. But long only managers have much to learn from what's in this book.As Ken Grant noted in "Trading Risk," every manager needs to make sure at least some part of the portfolio does better when the benchmark sinks. And that's a big part of what is addressed here.About two thirds of the book is NOT about short-selling, but about making any trading system better. Bernut provides a set of rational, step by step methods for developing, deploying, monitoring and improving your best ideas for trading systems.Here are a few highlights:If you ask 10 traders what their edge is, 8 of them will tell you a story instead. Winners and professionals quantify that edge and their strategy (pp 109 - 133)I liked the refreshingly frank talk about what your stops should be and how they should be enforced. Operational Risk (the chance of a manager making a mistake) is the largest risk among individuals and you'll find solid measures here to shore up weaknesses to improve your results quantifiably (pp134-169).If you're still using the "2% risk per trade heuristic," you really need to understand your peril better. Especially true in times of market chaos, position sizing is the link between your financial and your emotional capital. (pp171-202)ABOUT THE PROGRAMMING PART: I have only a passing knowledge of Python, therefore much of the real gold is hidden from me so far. The narrative itself is enough to provide a good guide. However, if you have been moved, as I have, to study and learn to program in order to automate what can be automated, there is even more value here with code supplied through GitHub and color graphics available through the publishers website.
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Daniel Feb 04, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Insightful and enjoyable read. I am Groot.
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Ivan Vasilev Oct 25, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book was clearly written with passion and it shows the author's in-depth knowledge and hands-on experience in the financial field.
Amazon Verified review Amazon
Michal Malík Aug 21, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is a book I will be periodically returning to in my trading journey. Reading it I realized that there is more to the market than I had ever thought. My brain also found out new ways to approach the market and a guideline on how to create a trading system and how to grade it. The source code is a great addition. The book gives a general outline of what the code does and the code show details and implementation. They complement each other and make the point clear. Finally, Laurent understands that even with a trading system, we are humans, not machines and gives us tips to better sleep at night.
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Amazon Customer May 16, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I’ve known about Laurent Bernut for a couple years from his Quara posts. I purchased his book day one and have been absorbing the content ever since. I am a young software engineer with no professional trading knowledge, only self taught. I have made significant progress building my own trading system using the ideas in this book. The main value of this book is it teaches the building blocks of creating a successful strategy, while providing a very generous starting point with the code provided.
Amazon Verified review Amazon
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