The circulating supply in loss, i.e. the amount of coins whose price at the time they last moved was higher than the current price. For more information see this article.

This is the Point-in-Time (PiT) variant of Supply in Loss. 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.