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Valuation models

How do you value a crypto asset?

Seven transparent models — from Stock-to-Flow to cash-flow valuation — applied to live market data. Adjust the assumptions, compare assets and save your own expectation.

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All assets side by side on scarcity, dilution and priced-in market size.

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AssetPriceMarket capS2F model priceTAM 5%Dilution
Bitcoin BTCView models
Ethereum ETHView models
Solana SOLView models
XRP XRPView models
Cardano ADAView models
Polkadot DOTView models
Chainlink LINKView models
Avalanche AVAXView models
Litecoin LTCView models
Dogecoin DOGEView models
Tether USDTView models
USD Coin USDCView models

Models

Stock-to-Flow (S2F)

Scarcity as a yardstick: existing stock divided by annual new issuance.

S2F = voorraad / jaarlijkse uitgifte · prijs ≈ 0,4 × S2F³ (USD)

Stock-to-Flow comes from commodities. Gold scores high because the above-ground stock dwarfs annual mining output. Bitcoin acquired the same profile through its halvings: every four years new issuance halves while the stock keeps growing.

The best-known variant (PlanB, 2019) fitted a power relation between S2F and market value. We show the ratio and the implied price, plus the gap with the market — that gap is often more informative than the model price itself.

Limitation: S2F only models supply, never demand. It failed badly in 2022 and is statistically contested. Treat it as a scarcity indicator, not a price target.

Power law (time model)

Price as a power function of network age in days.

prijs ≈ a × dagen^b (log-log regressie sinds genesis)

On a log-log scale bitcoin's price has tracked a straight line since 2009, suggesting a power relation between time and price similar to growth patterns in networks and cities.

The model gives no top or bottom, only a long-term corridor. The distance to that corridor indicates how stretched or washed-out the market is.

Limitation: A trend line fitted to history is not a law of nature. As the network ages the curve flattens and deviations can persist for years.

Mayer Multiple (200-day average)

How far is price above or below its 200-day moving average?

Mayer = koers / 200-daags voortschrijdend gemiddelde

The simplest model here, and useful precisely for that: it measures only how stretched price is versus its own long-term average.

Historically, readings below 1 marked accumulation phases and above 2.4 euphoric phases. It says nothing about value, only about position in the cycle.

Limitation: An average is not a valuation. In persistent trends the multiple can stay extreme for months.

NVT proxy (network value / turnover)

Crypto's price-earnings analogue: market value divided by traded volume.

NVT = marktkapitalisatie / 24u-volume

NVT compares a network's value with the economic activity running over it. A high NVT means the market pays a lot for little throughput; a low NVT implies more activity per euro of market value.

The original uses on-chain transaction volume. We show a proxy based on reported trading volume, since that is public and comparable across coins. Use it for relative and trend comparisons.

Limitation: Trading volume is not economic activity and can be inflated on some venues. Use NVT relatively, never as an absolute target.

Addressable market model (TAM)

What if this asset captures a share of an existing market?

prijs = (marktomvang × veroverd aandeel) / circulerend aanbod

The model institutional analysts use most, because it needs no historical curve. Pick a reference market — say the roughly EUR 20 trillion of above-ground gold, or global cross-border payments — and estimate the share migrating to this asset.

The output is a sensitivity analysis, not a forecast: it shows how much adoption is already priced in. Set the share so the model price equals the market price and you see what the market implicitly expects today.

Limitation: The result depends entirely on two estimates. Double the share and the price doubles — treat it as a scenario, not a truth.

Cash-flow model (network revenue × multiple)

Value a blockchain like a business: annual fee revenue times a valuation multiple.

prijs = (jaarlijkse netwerkinkomsten × multiple) / circulerend aanbod

Smart-contract networks collect transaction fees — real, measurable revenue, part of which Ethereum burns, accruing directly to holders. That lets you value a chain like a software business: revenue times a multiple.

Enter estimated annual network revenue and pick a multiple consistent with growth expectations. Mature networks typically warrant a lower multiple than fast-growing ones.

Limitation: Network revenue is volatile and not every euro of fees accrues to holders. Verify current figures with an on-chain data source before drawing conclusions.

Supply and dilution model

What happens to price once the full supply is in circulation?

verwaterde prijs = huidige marktwaarde / totaal aanbod

Many assets keep a large part of supply out of circulation: XRP sits in escrow, other projects have vesting schedules for teams and investors. Fully diluted valuation (FDV) shows what you pay today if that future supply is counted.

The gap between market cap and FDV is one of the most underrated risk factors. The wider it is, the more structural sell pressure can reach the market.

Limitation: Not all non-circulating supply actually reaches the market; burned or permanently lost units effectively never do.

Not investment advice. Models are scenarios, not forecasts.

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