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Breadth (50d)

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Breadth (50d)

What it is

Breadth (50d) β€” registry key breadth_50d.

Classifier metric. See the bands table below for the band-by-band reading.

Data-pyramid tier

T1 β€” Signal. This metric sits at the signal layer of the platform’s six-tier data pyramid (T0 raw inputs β†’ T5 actionable read). The tier reflects how far the value is from a raw measurement β€” 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 β€” 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

Percent of S&P 500 constituents whose latest close is above their own 50-day SMA: count(close > sma50) / count(valid) Γ— 100. See app/sources/breadth.py:83.

Where it surfaces

Bands / thresholds

Classifier direction: higher_is_better.

Range Label Dot Implication Points
β€” Broad participation favorable BULLISH 7
β€” Moderate breadth leaning BULLISH 5
β€” Mixed neutral NEUTRAL 3
β€” Narrowing cautionary BEARISH 1
β€” Widespread selling adverse BEARISH 0

Health-score / alignment role

Release cadence

See also