bitunix

Entity-Adjusted Long-Term Holder URPD

Tartomány
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Ár
Csúcsár
Nyereségben
Veszteségben
Legsűrűbb sáv
Összesen
Bekerülési érték az ár alattBekerülési érték az ár felett
A sávok egyenletesen oszlanak el 0 és az adott napi csúcsár között, ezért az eloszlás naponként jelenik meg.
Adatok betöltése…

A mutatóról

Mit mér

Entity-Adjusted Long-Term Holder URPD groups addresses into estimated holders and maps their long-term holdings by entity-level average cost basis. BTC amounts are assigned to 100 equal price bands from zero to the snapshot's historical peak, focusing on the cohort around and beyond 155 days of holding.

Hogyan értelmezzük

Clusters below the snapshot price show long-term holdings with a profit cushion; clusters above it locate aged holdings still underwater and possible breakeven pressure on recovery. On October 17, 2026, the lowest band, about $0–$1,262, held roughly 3.74 million BTC out of a mapped cohort total of 14.59 million BTC.

Low-cost holdings can remain dormant or be lost, so a large cluster does not establish available supply. Entity estimates and cohort aging can change the map without a fresh purchase, and the approximate age boundary should not be treated as a precise classification of investor intent.

Gyakoriság
Napi (UTC 00:00)
Eszköz
BTC
Típus
Bekerülésiérték-eloszlás
Egység
BTC
Adatok kezdete
2009-01-03
Legfrissebb adatok
2026-10-28

GYIK

Why does LTH URPD have a large low-cost band?

Early and long-dormant holdings can retain very low estimated costs. The band groups all such costs into one interval; it does not establish how much of that BTC is lost or likely to move.

Can BTC enter the long-term cost distribution without moving?

Yes. Holdings can mature into the long-term cohort as time passes. A growing cost cluster can therefore reflect aging rather than purchases at that price today.

How does entity-level cost differ from output-level cost?

Output-level cost follows the price when each UTXO was created. Entity adjustment groups related addresses and uses the holder's average cost, reducing resets from identified internal moves but depending on clustering estimates.

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