The net growth of unique entities in the network. This metric is defined as the difference between new entities and "disappearing" entities (entities with a zero balance that had a non–zero balance at the previous timestamp). 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. Note that entity–based metrics are based on data science techniques and statistical information that changes over time and are therefore mutable – the data is stable, but most recent data points are subject to slight fluctuations as time progresses. For more information see this article.

The computation of this metric requires statistical information from several days, and is therefore only available with a lag of one week.

This is the Point-in-Time (PiT) variant of Entities Net Growth. 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.