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UTXO Realized Price Distribution (ATH-Partitioned)

Vaihteluväli
  • Viimeiset 90 päivääViimeiset 90 päivää
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Hinta
Huippuhinta
Voitolla
Tappiolla
Tihein hintaväli
Yhteensä
Hankintahinta alle hinnanHankintahinta yli hinnan
Hintavälit on jaettu tasaisesti nollasta kunkin päivän huippuhintaan, joten jakauma näytetään päivä kerrallaan.
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UTXO Realized Price Distribution (ATH-Partitioned) places each unspent output's BTC amount in the band of the price when that output was created. There are 100 equal cost-price intervals from zero to the snapshot's historical peak, mapping outstanding supply in BTC.

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Supply concentrated below spot has a lower recorded cost and is in paper profit; clusters above spot locate underwater supply that may react near breakeven. On October 17, 2026, the lowest band of roughly $0–$1,262 contained about 3.74 million BTC, or 18.6% of the mapped 20.10 million BTC total.

A transfer between an owner's own addresses creates new outputs and can reset their recorded costs without a trade. Lost coins remain in the map, bands widen with a new ATH, and a cluster is neither an order book nor a guarantee that support or resistance will hold.

Tiheys
Päivittäin (UTC 00:00)
Omaisuuserä
BTC
Tyyppi
Hankintahintajakauma
Yksikkö
BTC
Dataa alkaen
2009-01-03
Uusin data
2026-10-28

UKK

Is URPD a volume profile of Bitcoin trading?

No. A trading volume profile records executions at each price. URPD records the last-move cost of outputs that remain unspent, so activity that leaves no current output does not remain as historical traded volume.

Why can a wallet transfer shift the UTXO cost distribution?

Spending consumes old outputs and creates new ones at the current recorded price. Even a transfer within one owner's wallets can move BTC from an old cost band to a new one.

How does ATH-partitioned URPD differ from the entity-adjusted version?

This version assigns costs output by output. Entity-adjusted URPD groups addresses under estimated holders and uses their average cost, reducing the influence of identified internal transfers while adding clustering assumptions.