bitunix

Entity- and Age-Adjusted 90D Coin Days Destroyed

Interval
  • 1M1M
  • 3M3M
  • 6M6M
  • 1Y1Y
  • ALLALL
Skala
  • LineærLineær
  • LogaritmiskLogaritmisk
Seneste
216.73K
2026-10-28 · 216,733.3626 · BTC-dage
1D-ændring
+0.28%
Forr. 216.13K
7D-ændring
+1.10%
Forr. 214.38K
30D-ændring
+6.65%
Forr. 203.22K
4Y-percentil
72%
Hele historikken 45%
Højeste niveau nogensinde
674.63K
2017-08-19 · -67.87%
1Y-interval
125.29K – 227.55K
Siden 2009-01-12
Indlæser data…

Om denne måling

Hvad den måler

Entity-Adjusted CDD-90 aggregates 90 days of Coin Days Destroyed from transfers between identified entities, then applies time normalization to account for the network's growing age. The chart reports the normalized coin-age series on its configured BTC-days scale, rather than an unadjusted 90-day total.

Sådan læses den

An upward trend indicates more age expenditure over the recent quarter on a time-adjusted basis; a decline indicates less. The series reached about 674,628 on August 19, 2017, while its 2022 low was about 143,123, distinguishing periods of heavier and lighter adjusted age spending.

A single large transfer can influence the rolling window for months and its departure can lower the curve without new restraint from holders. Entity estimates and time normalization change the scale, so do not compare the number directly with daily CDD or assume it must be below the unadjusted series.

Frekvens
Dagligt (UTC 00:00)
Aktiv
BTC
Type
Enkelt værdi
Enhed
BTC-dage
Data siden
2009-01-12
Seneste data
2026-10-28
Datapunkter
6,499

FAQ

What do the entity and age adjustments each do?

Entity adjustment filters transfers within the same identified participant. Time adjustment reduces the upward drift caused by a network whose coins can accumulate more age as it gets older.

Is CDD-90 a 90-day moving average of daily CDD?

No. This metric combines a 90-day accumulation with time normalization. Its reported values are not simply daily CDD averaged over 90 observations.

Why can the curve fall when today's CDD rises?

The window also drops an older observation. If the age expenditure leaving the window exceeds what enters, or the time adjustment reduces the result, the normalized curve can still fall.