Valuation frameworks for crypto assets

ZEC Valuation

Zcash inherits the Store of Value / Monetary Premium model set.

Static methodology preview. Live data pipeline planned. Not investment advice.

ZEC Monetary Premium Static methodology preview

Zcash

Market cap: data pipeline not connected

Composite model-implied value

$59.5B Valuation gap 19%

Model Cards

The asset page uses the model set assigned to its asset class.

Monetary premium

Power Law Band

Frames network value inside long-horizon adoption bands rather than near-term flow multiples.

Model-implied value method Maps current network value against a static percentile band.

Core inputs

Network ageband percentilemarket valueconfidence interval

Useful for regime context, weak for short-horizon precision.

On-chain cost basis

MVRV / Realized Value

Compares market value with realized value to assess cycle pressure and holder profitability.

Model-implied value method Applies a realized-value multiple range to the asset's cost-basis base.

Core inputs

realized valueMVRV rangeholder cohorts

Best suited to assets with mature on-chain accounting.

Settlement demand

NVT Settlement Multiple

Relates network value to economically meaningful transfer volume.

Model-implied value method Applies a settlement multiple to adjusted transfer value.

Core inputs

adjusted transfer volumevelocity screenNVT range

Requires careful filtering of self-churn and exchange movement.

Addressable monetary premium

Monetary TAM Share

Tests store-of-value share capture against monetary asset pools.

Model-implied value method Applies capture assumptions to a monetary addressable market.

Core inputs

addressable marketcapture sharesupply base

Highly sensitive to terminal adoption assumptions.

Network security

Security Budget

Links network value to miner or validator incentives required for durable security.

Model-implied value method Compares security spend and attack cost with network value.

Core inputs

security spendfee shareissuanceattack-cost proxy

Security value is jointly determined with market value.

Supply behavior

Scarcity / Holder Persistence

Evaluates long-term holder persistence and effective liquid supply.

Model-implied value method Adjusts valuation bands for persistent supply and dormant holder behavior.

Core inputs

long-term supplyliquid supplydormancyholder concentration

Supply persistence can reverse during liquidity stress.

Fundamentals Panel

Current fundamental fields are static methodology categories, not live data.

Data completeness 66/100

Method confidence 72/100

Tokenholder capture Not applicable

Fundamental evidence score 80/100

realized valueholder persistencesecurity budget

Method Rating Panel

Confidence scores are class-level method ratings, not asset guidance.

High confidence

78/100

Monetary premium evidence

Strongest where realized value, holder behavior, and security spend can be sourced.

Medium confidence

58/100

Transaction utility evidence

Settlement metrics require careful filtering before they become valuation inputs.

Scenario Simulator

A local assumption shell for scenario sensitivity.

Scenario sensitivity

Monetary premium scenario

Model-implied FDV $100.0B

power-law percentile % 58 realized cap multiple x 3.1 transaction volume bn 18 security budget bn 8 long-term holder supply % 62

Static methodology preview. Changes here recompute a local scenario number only.

Source Trail

Planned data sources for the valuation architecture.

CoinGecko

price, market cap, FDV, supply, and volume

Source

DefiLlama

TVL, fees, revenue, and DeFi volumes

Source

Coin Metrics

BTC-style realized cap, MVRV, and network metrics

Source

Dune or manual source trails

custom on-chain datasets and methodology notes

Source

Static methodology preview. Live data pipeline planned. Not investment advice. The displayed model-implied value is an architecture test for assumption-led valuation.