Valuation frameworks for crypto assets
Venue-linked tokens evaluated through fee pools, volume share, liquidity depth, token capture, and float pressure.
The model set is selected for the economic behavior of this asset class.
Static class view of valuation gap and evidence quality.
Exchange Tokens Bubble Map
Static methodology preview. Live data pipeline not yet connected.
Each model states what it measures and where its confidence breaks down.
Capitalizes fee generation using explicit multiple assumptions.
Core inputs
Fees and tokenholder capture are separate questions.
Assesses how much venue or protocol revenue is economically connected to the token.
Core inputs
Revenue linkage can change through governance or venue policy.
Evaluates share of trading volume or venue activity against comparable platforms.
Core inputs
Volume share can be incentive-sensitive.
Measures supply reduction or treasury return mechanics where disclosed.
Core inputs
Mechanics must be verified through source trails.
Evaluates exchange-token relevance through liquidity and open-interest depth.
Core inputs
Liquidity metrics can be cyclical and venue-specific.
Adjusts valuation ranges for unlock schedules and effective float.
Core inputs
Unlock pressure is a risk adjustment, not a valuation model by itself.
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.