Entity-Adjusted Transaction Count
- 1M1M
- 3M3M
- 6M6M
- 1Y1Y
- ALLALL
- ЛінійнаЛінійна
- ЛогарифмічнаЛогарифмічна
Про цю метрику
Що вимірює
Entity-Adjusted Transaction Count measures the daily number of confirmed Bitcoin transactions after filtering identified transfers within the same entity. Addresses believed to share a controller are grouped before internal activity is excluded, leaving a transaction count intended to better represent transfers between holders.
Як читати
A rising count means more transactions survive the internal-transfer filter; a falling count means less identified activity between entities. The recorded peak was 649,316 on November 12, 2023, while the 2024 maximum was 597,854 on January 13. These highs measure transaction activity rather than transferred value or the number of participants.
Entity adjustment relies on address-clustering estimates and can change as identification improves. It does not remove all automated activity or distinguish payments from other protocol uses, and one transaction can serve multiple recipients. Compare it with unadjusted counts, transfer volume and fees to judge how the pattern of use is changing.
- Частота
- Щодня (UTC 00:00)
- Актив
- BTC
- Категорія
- Перекази та транзакції
- Тип
- Одне значення
- Дані з
- 2009-01-03
- Останні дані
- 2026-10-28
- Точки даних
- 6,508
Часті запитання
What does entity-adjusted transaction count remove?
It filters transfers identified as moving coins within a single controlling entity, such as movements between that entity's own wallets. Transfers that cannot be identified as internal may still remain.
Is entity-adjusted transaction count the number of Bitcoin users?
No. A holder can transact many times, and a batched transaction can pay multiple recipients. The series counts transactions after adjustment, rather than unique entities or users.
Can entity-adjusted transactions rise without more value being settled?
Yes. Many small transfers can raise the count while the total BTC or USD value stays flat or falls. Count and volume capture different dimensions of on-chain activity.
