FDV / Fees
Compares fully diluted value with annualized fees.
Core inputs
Fees may not accrue to tokenholders.
Valuation frameworks for crypto assets
Protocol assets evaluated through fees, protocol revenue, TVL efficiency, utilization, treasury value, and tokenholder capture.
The model set is selected for the economic behavior of this asset class.
Static class view of valuation gap and evidence quality.
DeFi Bubble Map
Static methodology preview. Live data pipeline not yet connected.
Each model states what it measures and where its confidence breaks down.
Compares fully diluted value with annualized fees.
Core inputs
Fees may not accrue to tokenholders.
Capitalizes protocol revenue where revenue definitions are sourceable.
Core inputs
Definitions vary across data vendors.
Relates revenue and usage to capital locked in the protocol.
Core inputs
High efficiency can reflect higher risk or incentives.
Models value through lending, liquidity, or protocol utilization.
Core inputs
Utilization should be risk-adjusted.
Tests whether protocol activity translates into token-level economics.
Core inputs
Weak capture can make strong protocol metrics less relevant.
Assesses treasury assets and governance option value.
Core inputs
Option value is subjective and should stay scenario-based.
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.