Explore official economic release dates
Choose a source and period, inspect an actual scheduled release and keep the same selection with its provenance.
1. Choose the source and period
From Macro, open the Economic calendar. It starts with official US Bureau of Economic Analysis releases, which need no key. Explore a month or week, choose a day and use search or the release-family filter. An empty week means this dataset has no scheduled event in that period; it is not populated with sample events.
The BEA and FRED calendars have separate sources and coverage. FRED requires a configured server-side key; without it that source remains unavailable. Missing actual events are never replaced with fictional ones.
2. Distinguish scheduled time from measured data
BEA supplies an original timestamp with an offset; the screen retains it and also displays UTC. Open an event to inspect its original title and detail. This is a scheduled release, rather than confirmation that it occurred or that a measured value is available. Reference period, revision, consensus, impact and indicator values are not inferred from the schedule.
3. Inspect provenance and repeated entries
The receipt includes the original machine-readable source URL, capture and document hash. These differ from the scheduled event time. The source file-update value may lack a time zone; it then remains original text with an explicitly unknown zone rather than a UTC timestamp.
The same release family at the same instant appears as one event. Original occurrences and positions remain in the receipt and export. Different families scheduled at the same time are not combined. Whole-source coverage is separate from the filtered month or week.
4. Export the same selection
Calendar, list, detail and complete exports use the same loaded result and filters. CSV and JSON are not limited to the current table page. BEA ICS uses the supplied UTC timestamp and identifies a tentative event without inventing a duration. FRED date-only and sample events remain all-day entries with their respective source labels.
This is a guide to Datisto. Private features require sign-in and access to your own data. Personal models use your assumptions; availability and permitted use of source data are checked with the particular result. This is not investment advice.