Auto-generated. This article is rebuilt from app/signals/config/signal_definitions.json by scripts/build_signals_kb.py. Edit the registry entry and re-run the script — do not edit this file directly.

Bullish category count

What it is

Bullish category count — registry key bullish_count.

Daily-signals column exposed for sparkline charts; raw value, no classification bands.

Source

Source module: capture
Data source: computed

Derived metric — produced inside the platform (app/signals/capture.py or equivalent) rather than fetched as a raw upstream value. See the How it's computed section below for the formula.

How it’s computed

Number of the 12 alignment categories whose implication evaluates to BULLISH on this row (11 by default; news_sentiment flag-gated behind ENABLE_AI_SENTIMENT_ALIGNMENT). Companion to alignment_score.

Where it surfaces

• API field: alignment.bullish_count on GET /api/v1/signals/latest
• Surface: daily_signals row (daily-cadence persistence)
• Surface: /signals/sparklines (UI sparklines)

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-alignment — API endpoint that serves this field.