asset_type in ('tokenized-stocks', 'tokenized-funds', 'tokenized-commodities', 'tokenized-cryptoasset').
dimensions.assets: one row per tokenized asset.dimensions.asset_tokens: one row per chain each asset is issued on.dimensions.reference_assets: the things those assets stand for, equities to cryptoassets.
Sample queries
- Assets by type
- One underlying's tokens
- Most-tokenized underlyings
Count tokenized assets by type.
Notes
reference_assets is the list of things tokenized assets stand for. Each row names one, classifies it in type, and points back to a tokenized asset through linked_asset_id where one exists. Some references are broad categories rather than single securities, such as etf and realestate, so the biggest counts land on those rather than on individual companies.
type = 'fiat' is what makes a reference a currency peg, and currency_code is filled in on the fiat rows only. The stablecoin columns peg_currency and mica_indicator on assets are both worked out from that pair. A reference that is a fund strategy, an equity or a commodity leaves peg_currency empty on its assets, rather than passing a non-currency label through as if it were one.