Definition. The number of unique entities that were active either as a sender or receiver. Entities are defined as a cluster of addresses that are controlled by the same network entity and are estimated through advanced heuristics and Glassnode's proprietary clustering algorithms.

Technical. Entities are clusters of addresses estimated to be controlled by the same actor, identified through advanced heuristics and Glassnode's proprietary clustering algorithms. Entity-based metrics rely on statistical and data-science methods that are refined over time. The series is therefore mutable: its established history is stable, but recent data points may revise as clustering improves. For methodology, see our article on account-based metrics.

Notes. For more information, see our article on how many entities hold Bitcoin.

This is the Point-in-Time (PiT) variant of Active Entities. PiT metrics are strictly append-only and their history is immutable. The historic data does not necessarily reflect the best current knowledge, but the information at the time when a data point was first computed. PiT metrics are ideal candidates for applications in model backtesting and related quantitative purposes. Read our article on PiT metrics for more information.