Detect and analyze trending market themes across sectors. Use when user asks about current market themes, trending sectors, sector rotation, thematic…
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. 3-Dimensional Scoring Model: Theme Heat (0-100): Direction-neutral strength of the theme (momentum, volume, uptrend ratio, breadth) Lifecycle Maturity: Stage classification (Emerging / Accelerating / Trending / Mature / Exhausting) based on duration, extremity clustering, valuation, and ETF proliferation Confidence (Low / Medium / High): Reliability of the detection, combining quantitative breadth with narrative confirmation. Script output is capped at Medium; Claude's WebSearch narrative confirmation step can elevate to High. Key Features: Cross-sector theme detection using FINVIZ industry data Direction-aware scoring (bullish and bearish themes) Lifecycle maturity assessment to identify crowded vs. emerging trades ETF proliferation scoring (more ETFs = more mature/crowded theme) Integration with uptrend-dashboard for 3-point evaluation Dual-mode operation: FINVIZ Elite (fast) or public scraping (slower, limited) WebSearch-based narrative confirmation for top themes
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