Sector & Breadth

See whether the wider market agrees.

A stock can look strong on its own chart while its sector weakens underneath it. Sector and breadth views add the missing market context.

Sector view

Group the watchlist by the business underneath.

Move from a regional list to sector and industry groupings without turning the sidebar into a separate dashboard.

  • Sector and industry grouping for supported equity lists
  • Top groups ranked by technical strength or one-month z-score (σ) — how far the move sits from its own average
  • Forward PEG context when coverage is sufficient
  • Selections shared between the chip and full sector view
Sector insights view ranking India sectors by Tech score with one-month z-scores, member counts and forward PEG coverage
Illustrative data. Prices, signals and verdicts are drawn examples, not product output.

Breadth view

Separate a broad move from a narrow one.

Breadth helps show how much of the tracked market participates. Use it beside price and sector context, not as a standalone verdict.

  • Regional breadth views for supported universes
  • Cross-watchlist context without losing the current symbol
  • Clear handling of unavailable or incomplete rows
  • Data timestamps visible where timing matters
Market breadth page showing advancing and declining counts, participation, moving-average context and a sector breakdown for the India universe
Illustrative data. Prices, signals and verdicts are drawn examples, not product output.

Three useful questions

Move from symbol to context in a deliberate order.

What is the chart showing?

Read the current channel, signal class, and distance before moving to a wider view.

What are peers showing?

Check the sector or industry group for participation, relative strength, and valuation context.

How broad is the move?

Use breadth to see whether strength or weakness extends across the tracked universe.

Context is not certainty. Sector classifications, coverage, prices, and derived metrics can be incomplete or delayed. Confirm the underlying data before relying on a view.

Move beyond the single-stock view.

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