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Sector Radar scans a sector and gives you a structured view of what’s happening inside it: which names are leading, which are lagging, and what’s driving the dispersion. It sits between a whole-market read and a single-stock analysis.

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Framework

Sector Radar is built on cross-sector relative-strength rotation, a named, citable framework for ranking names by relative performance and reading the rotation between leaders and laggards. It is not a one-off prompt: the framework runs as real code over live data, so the same scan is reproducible and auditable every time.

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When to use it

  • Understanding which companies are leading or lagging within a sector
  • Spotting rotation or relative-strength shifts
  • Building a shortlist of names to research within a theme
  • Getting context before drilling into one company

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What it does

Sector Radar pulls performance and key metrics across the companies in a sector, ranks and groups them, and highlights the movers and the laggards along with the reasons. The output is a map of the sector you can use to decide where to focus.

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Prompt template

Run Sector Radar on [sector]. Show the leaders and laggards, relative strength, key metrics, and what's driving the dispersion.

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Example

Sector Radar on US semiconductors. Who's outperforming, who's lagging, and what's the story behind the spread?

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Tips

  • Use it to build a shortlist, then hand the strongest names to Stock Analysis or Valuation Matrix.
  • Combine with Smart Money. Ask whether institutions are accumulating the leaders or rotating out, using Smart Money.
  • Define the sector precisely. “AI infrastructure” and “semiconductors” overlap but are not the same scan; name the one you mean.