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TSMOM

A complete guide to Time Series Momentum (TSMOM) - the strategy that bets on trends continuing. Covers the math, Python implementation from scratch, backtesting, performance metrics, volatility scaling, and common pitfalls. Based on Moskowitz, Ooi & Pedersen (2012). Includes code examples, visualizations, and resources for further learning.

Install / Use

/learn @mirkovicdev/TSMOM
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

TSMOM

A complete guide to Time Series Momentum (TSMOM) - the strategy that bets on trends continuing. Covers the math, Python implementation from scratch, backtesting, performance metrics, volatility scaling, and common pitfalls. Based on Moskowitz, Ooi & Pedersen (2012). Includes code examples, visualizations, and resources for further learning.

Related Skills

View on GitHub
GitHub Stars16
CategoryDevelopment
Updated8d ago
Forks6

Languages

Jupyter Notebook

Security Score

75/100

Audited on Mar 26, 2026

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