Algorithmic Short Selling with Python, 2nd Edition
Algorithmic Short Selling with Python is a second-edition guide to developing and managing systematic short-selling strategies. It describes working Python examples based on S&P 500 data and covers signals, position sizing, portfolio exposures, and short-side risk. The listing assumes working knowledge of Python and basic trading concepts.
At a glance
- Covers building and testing algorithmic short-selling strategies in Python.
- Examples are described as using S&P 500 data.
- Topics include market-regime classification, sector rotation, pairs trading, portfolio exposures, and risk-adjusted position sizing.
- Explores long/short portfolio allocation and trading-journal use, including an AI-powered journal.
Reference price: $59.99
Price checked: Nov 14, 2026
View offerAhead of Black FridayExplore the selectionPros and cons
Pros
- Combines coding-oriented strategy development with discussion of short-specific risks such as crowded trades and short squeezes.
- Broad coverage spans signals, position sizing, portfolio exposure management, and asset allocation.
- The listing identifies a useful prerequisite level: working Python knowledge and basic trading concepts.
Cons
- The stated prerequisites make it a poor fit for readers new to Python or trading.
Technical specifications
9 specifications| Publisher | Packt Publishing |
|---|---|
| Edition | 2nd ed. |
| Publication date | June 19, 2026 |
| Language | English |
| Print length | 426 pages |
| ISBN-13 | 978-1806025930 |
| ISBN-10 | 1806025930 |
| Weight listed | 1.6 pounds |
|---|---|
| Dimensions | 7.5 x 0.96 x 9.25 inches |
Who is it for?
A good fit for
- Quantitative traders and portfolio managers seeking a systematic approach to short-selling strategies.
- Algorithmic trading developers and advanced retail traders comfortable with Python and basic trading concepts.
Less suited to
- Beginners who need an introduction to Python programming or foundational trading concepts.
- Readers seeking a general investing book rather than a coded, quantitative guide to long/short strategies.
Customer reviews on Amazon
- 5 stars
89% 89% - 4 stars
11% 11% - 3 stars
0% 0% - 2 stars
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The supplied rating information is strongly positive, with most ratings in the top category and the remainder in the next category. It does not include written review summaries, so it cannot establish which specific topics or features readers liked. For buyers considering a technically focused guide, the rating is encouraging but offers little detail about how well the assumed Python and trading level matches their needs.
Frequently asked questions
What experience does this book assume?
The listing says readers should have working knowledge of Python and basic trading concepts.
What kinds of strategies and topics does it cover?
It describes systematic short-selling strategy development and testing, signal and market-regime work, position sizing, portfolio exposures, pairs trading, and asset allocation.
What data do the examples use?
The book description says its working Python examples are based on S&P 500 data.
Does the listing say this is the second edition?
Yes. The product details list the edition as 2nd ed.
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