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Entity-Adjusted Long-Term Holder URPD

Zakres
  • Ostatnie 90 dniOstatnie 90 dni
  • ALLALL
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Najgęstszy przedział
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Przedziały są rozłożone równomiernie od 0 do najwyższej ceny danego dnia, dlatego rozkład pokazywany jest dla jednego dnia naraz.
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O tym wskaźniku

Co mierzy

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.

Jak to czytać

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.

Częstotliwość
Dziennie (UTC 00:00)
Aktywo
BTC
Typ
Rozkład kosztów
Jednostka
BTC
Dane od
2009-01-03
Najnowsze dane
2026-10-28

FAQ

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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