The Spent Supply Distribution (SSD) Quantiles metric calculates the distribution of the cost basis for spent supply at a given timestamp, dividing it into 100 quantiles (percentiles). This metric offers a detailed view of the price levels at which digital assets were originally acquired before being spent, helping to illustrate the cost basis distribution of the supply currently moving in the market. By analyzing the quantile lines, investors can observe the typical acquisition prices of assets being sold, identifying price levels with increased activity and providing insights into areas where profit-taking or loss realization may be concentrated. This information aids in understanding the dynamics of supply turnover relative to historical acquisition costs.

Note: All CBD and SSD metrics utilize an address-based approach, analyzing holdings based on individual wallet addresses for consistency across digital assets and comparability across blockchain architectures. This differs from a UTXO-based approach, as used in metrics like URPD, which categorizes supply based on unspent transaction outputs, typically used for chains like Bitcoin. Therefore, metrics for UTXO-based assets may show slight differences when compared across these distinct computational methods.

This is the Point-in-Time (PiT) variant of Spent Supply Distribution Quantiles. 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.