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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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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
Category :
Languages :

What do you get with eBook?

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Product feature icon Download this book in EPUB and PDF formats
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Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
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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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Frequently bought together


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Total $ 159.97
Hands-On Financial Trading with Python
$46.99
Algorithmic Short Selling with Python
$54.99
Machine Learning for Algorithmic Trading
$57.99
Total $ 159.97 Stars icon
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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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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.
Amazon Verified review Amazon
Bücherwurm Dec 10, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Short selling is a broadly misunderstood concept in finance (and the reviewer belonged to the set of people who misunderstood short selling). To be clear, I'm not advocating for or against short selling as a speculation tool - though this is also a moral conumdrum that the book's writer also hopes to clarify.This is a wholesome book that will teach you about the whole trading business: starting with idea generation, the behavioural biases, required infrastructure, and most importantly money management and how to avoid getting roasted.So, even if you're not a value investor, you won't repent by going long this one. Not only that, the author has graciously provided code that 1. works, is 2. readable and can be easily accessible from a 3. open source repository. Ah, and wait: the code is available in Jupyter notebooks making it really easy to reproduce the experiments being discussed and start adding your own twists. There are very few quant books that provide this level of service and intellectual transparency.The author is not claiming either you'll get rich by cranking the wheel: this is not a "get rich recipe book" either. But you'll come out in the other side wiser, and with a greater appreciation for serious quant trading and for short selling as a risk magement tool.
Amazon Verified review Amazon
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
Jennifer P. Oct 27, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
A book by someone who has done it--Laurent is a veteran trader and his knowledge of the tools and techniques is top-notch. Short-selling is not easy, and it requires a whole different toolkit. Laurent's experience in this book is evident and invaluable.
Amazon Verified review Amazon
Danny boy Jan 26, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Very insightful, one of the most excellent books on trading I’ve ever read. I really recommend it to anyone at any trading level 🙏
Amazon Verified review Amazon
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