Definition. Entity-Adjusted Long-Term Holder CDD is the Long-Term Holder variant of Entity-Adjusted CDD.

Technical. Coin Days Destroyed for any given transaction is calculated by taking the number of coins in a transaction and multiplying it by the number of days it has been since those coins were last spent. Transactions between addresses of the same entity are discarded. Long- and Short-Term Holder supply is defined with respect to the entity-averaged purchasing date, with weights given by a logistic function centered at an age of 155 days and a transition width of 10 days. 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 on entity-adjustment and account-based metrics, read our articles here and here.

This is the Point-in-Time (PiT) variant of Entity-Adjusted Long-Term Holder CDD. 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.