Dataset

Pro

Major Event Taxonomy

A classification taxonomy over material announcements — per row: event class, subject, event time, confidence, and rule version; sourced from MOPS material announcements.

What this data is

Each row is one classified material announcement, carrying event_class / subject / event_time / confidence / rule_version (event class, subject, event time, confidence, and rule version). Sourced from MOPS material announcements, graded reference / master. Keyed on the data as-of date and point-in-time safe; The backend /v2/datasets meta exposes only grade / tier / point-in-time and no coverage window, so none is stated here.

Use cases

  • Group material announcements into an analyzable event stream via event_class.
  • Filter by confidence for classification reliability.
  • Track rule_version for reproducible, versioned classification.

Why it matters for stock analysis

Material announcements are free text; this dataset structures them via a versioned taxonomy with confidence, point-in-time safe.

Coverage / Freshness / Source Policy

A classification taxonomy over material announcements; one row per classified material announcement, fields event_class / subject / event_time / confidence / rule_version; sourced from MOPS material announcements (graded reference / master). Keyed on the data as-of date and point-in-time safe; (The backend /v2/datasets meta provides no coverage window, so none is stated.)

Updated as the backend refreshes; cadence follows the source's release schedule.

Sourced from MOPS material announcements (graded reference / master); not investment advice.

Developer entry points

Related links