Algorithmic Short Selling with Python: Strategies, Signals, Risk Management, Paperback
Product description
For readers exploring short-selling strategies through algorithmic trading, this paperback centers on Python, trading signals, and risk management. Its focused subject makes it relevant to anyone looking to study short trades as a distinct part of trading and investing rather than turn to a general market overview.
The title brings those three themes together, giving readers a clear direction for their research: how algorithmic approaches relate to short selling, how signals fit into that process, and why risk management matters. It is a subject-specific choice for building knowledge around short trades, without implying that any strategy can guarantee profits.
Spec sheet
- Title: Algorithmic Short Selling with Python: Strategies, signals, and risk management techniques for profitable short trades
- Author: Laurent Bernut
- Publisher: Packt Publishing
- Format: Paperback
- Dimensions: 7.5 x 0.96 x 9.25 inches
- Weight: 1.6 pounds
Tips for day-to-day use
Use the book as a focused reading resource when studying algorithmic short selling, or return to its themes as you review your own trading research. Keeping the topic in view can help organize your learning around the relationship between a strategy, its signals, and risk management. For example, when examining a potential short trade, consider how each of those areas informs your analysis rather than treating a signal as a decision on its own.
Readers comparing book topics may prefer a broad investing guide for a wide survey of markets. This title is more specifically framed around short trades and Python, making it the more relevant direction when those are the subjects you want to investigate. The title identifies the subject area, it does not promise a particular trading outcome.
Everyday use
The paperback format suits reading away from a screen or keeping a physical reference nearby during study. Its 7.5 x 0.96 x 9.25-inch dimensions give a concrete sense of its shelf and desk footprint, while the stated 1.6-pound weight helps when deciding where to keep it. Readers can work through its short-selling focus at their own pace and connect the material to their broader study of trading signals and risk.
This is a subject-led book rather than a general introduction to every investing approach. That focus helps readers choose it when they specifically want to explore algorithmic short selling with Python. It can also sit alongside wider trading resources for readers who want a dedicated reference for this particular area.
What to clarify
What does the book focus on? It focuses on algorithmic short selling with Python, including strategies, signals, and risk management techniques for short trades.
Who is the author? The book is by Laurent Bernut and is published by Packt Publishing.
What format is listed? It is listed as a paperback, with dimensions of 7.5 x 0.96 x 9.25 inches and a weight of 1.6 pounds.
Buying verdict
Choose this book when your reading goal is specifically to explore algorithmic short selling through Python, with signals and risk management included in the subject focus. Its defined scope makes it a practical fit for targeted study or as a physical companion to broader trading research.