bitunix

Binary CDD (Supply-Adjusted CDD Above Average)

Tartomány
  • 1M1M
  • 3M3M
  • 6M6M
  • 1Y1Y
  • ALLALL
Skála
  • LineárisLineáris
  • LogaritmikusLogaritmikus
Legutóbbi
0
2026-10-28 · 0
1D változás
—
Előző 0
7D változás
-100.00%
Előző 1
30D változás
-100.00%
Előző 1
4Y percentilis
65%
Teljes előzmény 58%
Történelmi csúcs
1
2009-01-12 · -100.00%
1Y tartomány
0 – 1
Kezdete 2009-01-03
Adatok betöltése…

A mutatóról

Mit mér

Binary CDD compares daily Supply-Adjusted Coin Days Destroyed with its historical average. It returns 1 when the daily reading is above that baseline and 0 otherwise, giving a unitless flag for elevated coin-age expenditure rather than its magnitude.

Hogyan értelmezzük

Clusters of 1s indicate repeated days of above-average adjusted age spending; long runs of 0s indicate fewer such days. Both states occur throughout the record: the 2012 and 2016 halvings had readings of 1, while the 2020 and 2024 halvings had readings of 0, so a halving alone does not determine the flag.

The conversion discards size: a marginal exceedance and an enormous spike both show 1. The historical baseline and non-sale wallet transfers influence the signal; inspect the underlying Supply-Adjusted CDD to judge magnitude, and do not treat a binary state as a probability or directional forecast.

Gyakoriság
Napi (UTC 00:00)
Eszköz
BTC
Típus
Egyetlen érték
Adatok kezdete
2009-01-03
Legfrissebb adatok
2026-10-28
Adatpontok
6,508

GYIK

What does a Binary CDD reading of 0 mean?

Supply-adjusted age expenditure did not exceed its historical-average baseline. It does not mean there were no transfers or no coin days destroyed.

What would a moving average of Binary CDD represent?

It would show the fraction of observations flagged 1 within that window. For example, an average of 0.4 means 40% of observations were above the baseline, not a 40% probability of a price move.

Why use Binary CDD instead of the underlying CDD?

It makes the persistence of above-average activity easier to see without a few huge spikes dominating the vertical scale. The trade-off is losing information about how large each day's age expenditure was.

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