Crypto Value Lab v 0.1.0
X Substack

Valuation frameworks for crypto assets

CC Valuation

Canton Network inherits the RWA / Tokenized Real Assets model set.

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

Canton Network

Market cap: data pipeline not connected

Composite model-implied value

$31.3B Valuation gap 8%

Model Cards

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

Asset management economics

AUM Multiple

Relates value to tokenized asset base or assets under management.

Model-implied value method Applies an AUM multiple range to verified asset base.

Core inputs

AUMfee rateretentiondistribution

AUM does not automatically accrue to tokenholders.

Fee economics

Fee Take Rate

Evaluates the fee rate captured from managed or tokenized assets.

Model-implied value method Converts AUM and fee rate into revenue scenarios.

Core inputs

AUMfee take rateoperating leverage

Fee rights and token rights must be separated.

Revenue

Revenue Multiple

Applies a revenue multiple to network or protocol revenue.

Model-implied value method Capitalizes annualized revenue with scenario multiples.

Core inputs

annualized revenuemultiple rangemargin quality

Revenue comparability varies materially by asset class.

Policy risk

Regulatory Risk Discount

Applies explicit discounts for policy, licensing, or structure risk.

Model-implied value method Adjusts model-implied value by a policy risk factor.

Core inputs

jurisdictionclaim structurecompliance status

Risk discount is qualitative unless source trails are strong.

Asset backing

Treasury / Asset Backing

Assesses treasury or asset backing where claims are sourceable.

Model-implied value method Adds asset-backing value after haircut assumptions.

Core inputs

asset backinghaircutclaim seniority

Token claims may not match asset ownership.

Fundamentals Panel

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

Data completeness 54/100
Method confidence 57/100
Tokenholder capture Partial
Fundamental evidence score 54/100
AUMfee take rateasset backingpolicy risk

Method Rating Panel

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

Medium confidence

57/100

AUM and fee evidence

AUM is useful only when paired with fee rights and token claim structure.

Medium confidence

50/100

Policy classification

Regulatory structure can dominate the model-implied value range.

Scenario Simulator

A local assumption shell for scenario sensitivity.

Scenario sensitivity

RWA network scenario

Model-implied FDV $10.0B

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.