Daily data freshness is now consistent, with better update checks before analysis

Published on October 29, 2026

FactDecodeアイキャッチ
FactDecode now uses the number of calendar days since the latest observation to assess freshness for both daily FRED data and market data. This makes it easier to identify datasets that may need an update check before analysis. Previously saved analysis results remain unchanged.

FactDecode has improved how it assesses the freshness of daily datasets, making their update status easier to understand.

With this release, daily FRED data and market data follow the same freshness rules, and update checks before analysis have also been improved.

Consistent freshness rules for daily data

Previously, daily FRED data and market data, such as stock prices, used different methods to determine freshness.

Now, both are classified by the number of calendar days since the latest recorded observation:

  • Fresh: 0–1 days
  • Lagging: 2–14 days
  • Stale: 15 days or more

Weekends and public holidays are included, so the same rule applies to both data sources.

On the Data page, you can check a dataset’s freshness status alongside its latest observation date and last checked time.

“Fresh” means that the latest stored observation is no more than one calendar day old. It does not guarantee that the latest values published by the data provider have already been retrieved.

Improved update checks before analysis

When a dataset used in an analysis is marked “Lagging” or “Stale,” it appears in the pre-analysis review as a dataset eligible for an update check.

If you choose to refresh the data before analysis, FactDecode attempts to check for updates from the data provider.

Before analysis, review datasets eligible for an update check and see how many calendar days have passed since their latest observations.

If no new observations are found but the check succeeds, FactDecode suppresses unnecessary repeat checks for a period of time. The dataset remains “Lagging” or “Stale” if its latest observation date has not changed.

Even if an update check fails, you can continue the analysis using a previously saved dataset version if it meets the required data-quality and availability conditions.

Previously saved analysis results stay unchanged

This release does not rewrite past analysis results.

Saved Results, out-of-sample (OOS) evaluations, SHAP calculations, and the data freshness status recorded at the time of each analysis are preserved.

Weekly, monthly, and other non-daily FRED data continue to use their existing freshness rules.