Short selling is often seen as one of the toughest sides of trading, yet it offers unique opportunities for alpha generation and risk control. Algorithmic Short Selling with Python – 2nd Edition is a complete guide to mastering systematic short-side trading, combining financial theory, behavioral insights, and hands-on Python code.

You’ll begin by challenging common myths about short selling and understanding its unique psychology and risks. From there, the book introduces algorithmic strategies including relative long/short, regime detection, pairs trading, and trading edge formulas. You’ll learn how to code and test these strategies in Python, while also mastering stop-loss science, exit optimization, and volatility-based position sizing.

Later chapters cover portfolio construction, sector and factor exposures, mandate design, and execution techniques, ensuring your strategies integrate seamlessly into broader investment workflows. With coverage extending to equities, derivatives, and even Bitcoin shorts, this edition provides a practical, end-to-end framework for systematic short selling.

By the end, you’ll be able to design, test, and implement robust short-selling strategies, manage risk effectively, and enhance portfolio performance across market conditions.

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Spis treści

Algorithmic Short Selling With Python. Strategies, signals, and risk management techniques for profitable short trades - Second Edition eBook -- spis treści

• 1. The Stock Market Game
• 2. 10 Classic Myths About Short-Selling
• 3. Long/Short Methodologies: Absolute and Relative
• 4. Regime Definition
• 5. The Trading Edge is a Number, and Here is the Formula
• 6. Position Sizing: Money is Made in the Money Management Module
• 7. Refining the Investment UniverseInvestment Universe
• 8. The Long/Short Toolbox
• 9. Risk Management & Asset Allocation
• 10. Putting It All Together: Screening