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Screener Confluence Candidate

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Auto-generated. This article is rebuilt from app/signals/config/alert_thresholds.json by scripts/build_alerts_kb.py. Edit the alert config and re-run the script β€” do not edit this file directly.

Screener Confluence Candidate

Alert ID: SCREENER_CONFLUENCE
Category: screener
Cross-detection: no

A single-name screener candidate fired N+ archetypes the same day (confluence_count >= the configured floor, default 3 β€” screener_config.json screener_alerts.confluence_min). Multiple independent archetypes corroborating one name. Fired per-ticker by the screener pipeline; only when a firing archetype is CALIBRATED. The calibrated hit-rate is labeled in the message.

Severity

INFO β€” positive signal or notable event; no action needed

Trigger condition

{
  "type": "computed",
  "computation": "screener_confluence"
}

Marker, not a rule the macro alert engine evaluates. app/signals/alerts.py:_eval_computed does not recognise screener_confluence, so the per-cycle evaluate_alerts loop returns False for it every cycle and this alert can never fire from the macro path.

The real trigger lives in app/signals/screener_alerts.py (emit_screener_alerts), which writes the alert row into the alerts table directly. It is fired from the screener run β€” emit_screener_alerts is a loud-not-fatal leg of run_screener (step 7, app/screener/pipeline.py). The definition stays in alert_thresholds.json so severity, message template, cooldown, the alerts_config admin surface, and this catalog all read from one place.

Message template

Screener: {ticker} β€” confluence of {confluence_count} archetypes (conviction {conviction}/100, regime {regime_tag}, {calibration_label}).

Rendered by app/signals/screener_alerts.py (_render_message) via Python str.format over the per-event context it builds for the fire, NOT the macro signals dict. A placeholder that fails to resolve falls back to the RAW template β€” the same posture as the macro engine’s _format_message.

Cooldown / dedup

Notifies

See also