Rwa Analysis

RWA Analysis

RWA questions look like simple aggregations ("what's the AUM of X," "how many holders does Y have") but the naive query is usually wrong in a specific, recurring way. Read this before writing SQL for an RWA question — it's cheaper than debugging a 30x-inflated number after the fact.

Aggregation: snapshot, don't sum

AUM, market cap, and supply are stock quantities (a balance at a point in time), not flow quantities. Summing a daily-snapshot table across a date range compounds the same balance over and over.

• Take the latest row per grouping key (QUALIFY ROW_NUMBER() OVER (PARTITION BY ... ORDER BY date DESC) = 1, or MAX(date) per group), never SUM(market_cap_usd) / SUM(supply) across days.
• This mistake is easy to miss because the wrong number is still plausible-looking — one real case reported "$220B" AUM that was actually $7.2B, a ~30x inflation from summing ~30 days of the same snapshot.

Multi-chain products: sum across chains, but say so

A tokenized fund (BUIDL, BENJI, etc.) deploys separately on multiple chains. Each per-chain deployment is a real, distinct supply — summing across chains at the same snapshot date gives the true total AUM, but a query scoped to one chain will undercount and look like a much smaller fund than it is (one real case: $415M on Ethereum alone vs. the real $1.67B across 8 chains).

• When reporting a cross-chain total, also surface COUNT(DISTINCT chain) or list the chains — the reader needs to know the number is an aggregate, not a single deployment.

Classification: risk factor, not legal wrapper

Classify by the underlying risk factor (asset_class/asset_type), not by legal structure or naive keyword matching on the product name. A tokenized Treasury ETF is rates, not equities, even though "ETF" sounds equity-like. If you find a deprecated rwa_class column still in a table, don't use it — check whether it's been superseded by a newer classification field before trusting it.

For "tokenized treasuries" specifically, the intended filter is usually asset_class = 'rates' AND asset_type IN ('government_debt_us', 'money_market_funds_us', 'repurchase_agreements') — confirm the exact enum values against the live schema, since they're the kind of thing that gets renamed.

Pre-IPO / tokenized equities: no shortcut flag exists

There's no is_pre_ipo boolean. A ticker alone is not enough to tell — some genuinely novel-sounding tickers (SKHX/SK Hynix, CRCL/Circle, KIOXIA) are already publicly traded. To compute a real pre-IPO share of volume, look up each ticker's actual IPO date independently and cut the time series there (e.g. SpaceX/SPCX IPO'd 2026-06-12 — volume before that date is pre-IPO, after is not).

Also watch for product duplication across issuing platforms: the same underlying instrument can exist as separate onchain products with different symbol suffixes per platform (e.g. Dinari's dShares FBTC.d/BTCO.d vs. Robinhood's plain FBTC/BTCO are two distinct products tracking the same underlying ETF, each with its own supply/value — summing them as if one product double-counts; treating them as unrelated undercounts the ecosystem's real coverage of that name). When a ticker search comes back empty, search symbol, name, and product_name — the same instrument can be indexed under any of the three depending on platform.

Missing prices: don't report a blank

Newly-listed or illiquid tokenized assets often have price_usd/market_cap_usd = NULL in supply tables — there's no live price feed yet. Rather than surfacing a blank or silently dropping the row, fall back to supply × external NAV/share price as an estimate, and label it clearly as an estimate rather than a measured value.

Exclude known bad-data tokens before ranking

RWA holder/concentration rankings are vulnerable to tokens with large onchain supply and no verifiable real-world backing (seen in practice: "QGold," "UGold" — billions of tokens, no real reserve). These dominate a naive top-holders or top-token ranking with numbers that mean nothing. Sanity-check any RWA token that appears unexpectedly large before including it, rather than assuming supply-onchain implies legitimacy.

Similarly, filter out one-off launch-day migration spikes in mint/burn activity (e.g. a token's initial listing mint/burn from migrating existing balances onto a new contract) before charting "issuance" or "flow" over time — a single migration event can dwarf every subsequent real economic period and make the whole chart about one day.

TVL / collateral double-counting

When joining RWA tokens into a DeFi TVL context (RWA-as-collateral), sum only is_primary balances (or the equivalent "primary ledger position" flag) — a position can appear in more than one protocol-side ledger entry for the same collateral, and summing all of them double-counts.

Geography is a proxy, not a measurement

Allium has no native geographic data for RWA holders or flows — the chain is pseudonymous. Entity/issuer-jurisdiction labels (via identity/entity tables) are the closest legitimate proxy for "where is this happening," but say so explicitly rather than presenting it as measured geographic data.

Time windows: don't trust a relative default for "all of [year]"

When a request is "all RWA transfers in 2024" or similarly scoped to a calendar period, use literal date bounds (BETWEEN '2024-01-01' AND '2024-12-31'), not a relative rolling window (CURRENT_DATE - INTERVAL). RWA tables aren't necessarily clustered tightly enough to make a silently-wrong window cheap to catch — verify the bounds explicitly.

Data source

Every chain database has its own rwa schema (<chain>.rwa.* — e.g. ethereum.rwa.transfers, ethereum.rwa.supply_change, ethereum.rwa.supply_daily). For anything that spans more than one chain, prefer the dedicated rwa database over crosschain.rwa — the crosschain-rollup naming has moved to its own top-level database: rwa.core.transfers, rwa.core.supply_daily/supply_latest, rwa.core.balances_daily/balances_latest, and rwa.registry.catalog/deployments for issuer/asset-class/asset-type taxonomy and native-vs-bridged deployment metadata. Don't reach for an old crosschain.rwa.* name from memory or a prior session — that naming has been superseded.

Table and column names move as this schema evolves, so don't hard-code any of the names above from memory. Run data-matching first to confirm the current tables for your specific question, and use search_schemas/search_docs (or browse_schemas) directly if you need to double check a column before writing SQL.