Theme Detector
Pulls trending market themes from FINVIZ by analyzing cross-sector momentum, volume, and breadth signals. You get a three-dimensional score: theme heat (0-100), lifecycle stage (emerging to exhausting), and confidence level. It flags both bullish and bearish narratives, checks ETF proliferation to spot crowded trades, and caps confidence at medium until you confirm with web search. Works in two modes: FINVIZ Elite for speed and full coverage, or public scraping if you don't have the API key. The lifecycle detection is the real value here, it tells you whether you're early to a rotation or late to an overhyped trade. Outputs both JSON and markdown reports.
- skills.sh installs
- 3.5K
- GitHub stars
- 3.7K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add tradermonty/claude-trading-skills --skill theme-detector --agent claude-codeInstalls into .claude/skills of the current project.
Files
Theme Detector
Overview
This skill detects and ranks trending market themes by analyzing cross-sector momentum, volume, and breadth signals. It identifies both bullish (upward momentum) and bearish (downward pressure) themes, assesses lifecycle maturity (Emerging/Accelerating/Trending/Mature/Exhausting), and provides a confidence score combining quantitative data with narrative analysis.
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- Repository
- github.com/tradermonty/claude-trading-skills
- Category
- Finance & Trading
- First seen
- Jun 3, 2026
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