stablecoins.metrics.volume_daily aggregates stablecoin activity by day, chain, and token address. It includes sender_count, recipient_count, and the largest single transfer per day (max_transfer_volume), making it useful for identifying dominant flows without processing raw transfer events.
This table replaces crosschain.metrics.stablecoin_volume. Note: the adjusted volume columns (single_direction_*, entity_adjusted_*, transfer_volume_is_anomaly) from the old table are not present in the new schema. Anomalous transactions (exploits, sentinel mints/burns) are excluded upstream in each chain model before aggregation.
Sample Query
Monthly USD stablecoin volume, last 24 monthsTable Columns
Unique Key:chain, activity_date, token_address
| Column Name | Data Type | Description |
|---|---|---|
| activity_date | TIMESTAMP_NTZ(9) | UTC date of the aggregated activity |
| chain | VARCHAR | Blockchain name |
| token_address | VARCHAR | Contract address of the stablecoin |
| product_id | VARCHAR | Allium stablecoin product identifier (e.g. usdc, usdt) |
| issuer_id | VARCHAR | Allium issuer identifier (e.g. circle, tether) |
| token_name | VARCHAR | Name of the stablecoin |
| token_symbol | VARCHAR | Symbol of the stablecoin |
| currency | VARCHAR | ISO currency code the stablecoin is pegged to (e.g. usd, eur) |
| peg_mechanism | VARCHAR | Mechanism used to maintain the peg (e.g. fiat-backed, crypto-collateralized) |
| stablecoin_type | VARCHAR | Backing model of the stablecoin |
| is_native | BOOLEAN | Whether this is a chain-native issuance (vs. bridged/wrapped) |
| transfer_tx_count | BIGINT | Number of distinct transactions containing at least one stablecoin transfer |
| transfer_count | BIGINT | Total number of stablecoin transfer events |
| transfer_volume | FLOAT | Sum of stablecoin amounts transferred (token-native units) |
| transfer_volume_usd | FLOAT | Sum of stablecoin amounts transferred in USD |
| max_transfer_volume | FLOAT | Largest single transfer amount within the day (token-native units) |
| max_transfer_volume_usd | FLOAT | Largest single transfer amount within the day in USD |
| sender_count | BIGINT | Number of distinct sender addresses |
| recipient_count | BIGINT | Number of distinct recipient addresses |
| _created_at | TIMESTAMP_NTZ(9) | Timestamp when the row was first created |
| _updated_at | TIMESTAMP_NTZ(9) | Timestamp when the row was last updated |