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Data streams & provenance

Freshness & Staleness

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Definition

How recent a reading is. Every series carries an 'as of' timestamp; when it stops advancing on its expected cadence, the series is stale.

How to read it

Freshness answers 'how old is this number?' Each indicator has an expected update cadence — intraday, daily, or weekly — and an 'as of' timestamp showing when it last refreshed. A series is fresh when the timestamp is within its normal cadence, and stale when it falls behind (a daily series that hasn't moved in three days, a vendor feed that froze at the cutoff). Staleness is separate from data class: a Class-A series is high-provenance but can still be stale, and a fast-updating series can still be low-provenance. Always read the timestamp alongside the value, because a confident-looking number that stopped updating yesterday can quietly mislead you.

How practitioners use it

Used as context among multiple indicators — never as a standalone signal to act.

Less common professional uses

Power user: set your mental threshold per cadence — intraday series stale in minutes, weekly series stale only after a missed release. Caveat: a timestamp can update while the underlying value is a modeled carry-forward; check the class tag if a 'fresh' reading looks suspiciously unchanged. Around 2026-08-14, expect vendor series to go stale while Class-A continuity series stay fresh — that contrast is the whole point of the continuity panel.

Sources & provenance

Portal data-freshness monitor

This page is educational content published by Pachira Aquatica Global LLC. It is not investment advice and not a recommendation.

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