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Top 10 weight %

What it is

Top 10 weight % — registry key top10_weight.

Top-10 S&P 500 cap concentration; companion to mag7_weight_pct. Already a sparkline target.

Data-pyramid tier

T1 — Signal. This metric sits at the signal layer of the platform’s six-tier data pyramid (T0 raw inputs → T5 actionable read). The tier reflects how far the value is from a raw measurement — not how strongly it is validated. Abstraction and validation are separate axes: a higher tier is not a claim of stronger evidence.

Horizon & validation

No validated skill horizon is on file for this metric — read it as context / a data carrier, not a validated edge. Stamps are added only when a gated research verdict lands.

Source

Source module: breadth
Data source: back_fillable

Fetched directly from app/sources/breadth.py; see source code for the upstream API call and any provider-specific handling.

How it’s computed

Combined market-cap weight of the S&P 500’s top 10 constituents as a percent of the index: sum(MC[top10]) / sum(MC[SPX]) × 100. See app/sources/breadth.py:202.

Where it surfaces

• API field: signals.top10_weight_pct on GET /api/v1/signals/latest
• Surface: daily_signals row (daily-cadence persistence)
• Surface: /signals/history time series
• Surface: /signals/sparklines (UI sparklines)
• Surface: change markers in the rendered report
• Sparkline aliases: top10

Health-score / alignment role

Data carrier — no implication, no health-score contribution.

Persisted for downstream consumers (sparklines, base-rate matcher, calibration substrate) but does not classify into BULLISH / NEUTRAL / BEARISH and does not contribute to the 0-100 health score.

Release cadence

• Publishes: intraday

See also

• /kb/api/get-signals-latest — API endpoint that serves this field.