Liquidity Persistence
Measures whether liquidity survives beyond attention spikes.
Core inputs
Liquidity is a condition for valuation work, not proof of value.
Valuation frameworks for crypto assets
Culture-linked assets evaluated through liquidity persistence, holder distribution, attention durability, and cycle sensitivity.
The model set is selected for the economic behavior of this asset class.
Static class view of valuation gap and evidence quality.
Culture Assets Bubble Map
Static methodology preview. Live data pipeline not yet connected.
Each model states what it measures and where its confidence breaks down.
Measures whether liquidity survives beyond attention spikes.
Core inputs
Liquidity is a condition for valuation work, not proof of value.
Evaluates holder concentration and float fragility.
Core inputs
Wallet-level data can misclassify custody and exchange balances.
Uses attention proxies as a cultural demand variable.
Core inputs
Attention can reverse quickly and is not fundamental evidence.
Compares the asset to a basket of similar culture-linked assets.
Core inputs
Comparable baskets can compress during risk-off regimes.
Measures sensitivity to broad crypto liquidity cycles.
Core inputs
Cycle metrics are descriptive, not predictive.
Method confidence reflects evidence quality, source availability, and token-level capture clarity.
A local assumption shell for testing scenario sensitivity without live data.
Scenario sensitivity
Static methodology preview. Changes here recompute a local scenario number only.
Planned source families for turning this framework into a data-backed dashboard.
Assets currently mapped to this valuation class.