Valuation frameworks for crypto assets
Assets primarily evaluated through scarcity, holder persistence, settlement demand, network security, and monetary premium.
The model set is selected for the economic behavior of this asset class.
Static class view of valuation gap and evidence quality.
Monetary Premium Bubble Map
Static methodology preview. Live data pipeline not yet connected.
Each model states what it measures and where its confidence breaks down.
Frames network value inside long-horizon adoption bands rather than near-term flow multiples.
Core inputs
Useful for regime context, weak for short-horizon precision.
Compares market value with realized value to assess cycle pressure and holder profitability.
Core inputs
Best suited to assets with mature on-chain accounting.
Relates network value to economically meaningful transfer volume.
Core inputs
Requires careful filtering of self-churn and exchange movement.
Tests store-of-value share capture against monetary asset pools.
Core inputs
Highly sensitive to terminal adoption assumptions.
Links network value to miner or validator incentives required for durable security.
Core inputs
Security value is jointly determined with market value.
Evaluates long-term holder persistence and effective liquid supply.
Core inputs
Supply persistence can reverse during liquidity stress.
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.