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OverviewSentiment LabOn-Chain LabMarket Lab
Crypto · On-Chain Lab
Applies to all labs

What the blockchain says Bitcoin is worth

A quick read on whether Bitcoin looks cheap, expensive, or fairly valued right now — based on ten signals taken straight from the blockchain.

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What makes an indicator on-chain

An on-chain indicator is derived from the blockchain itself rather than from price. The distinction matters more than it sounds: many indicators marketed as on-chain are price technicals wearing a different label. This lab holds a strict line — every factor here needs ledger data to compute, not just a moving average of price.

What the ledger adds is cost basis. Because every coin's last movement is recorded, it is possible to estimate what holders collectively paid, how long they have held, and how much unrealized profit sits in the network. No equity market exposes anything comparable, and it is the foundation most Bitcoin valuation work is built on.

The families of factor in this lab

Cost-basis ratios compare market value to what holders paid. MVRV and its variations sit here — high readings mean the average coin is deep in profit, which historically clusters near cycle tops because paper profit is what gets sold.

Profit and loss distribution measures how gains are spread across the supply. NUPL and related measures ask not just whether the network is in profit but how concentrated that profit is, which distinguishes a broad advance from a narrow one.

Miner economics— the Puell Multiple and its relatives — track issuance value against its own history, on the logic that miners are structural sellers whose pressure varies with profitability. Together these give the composite a view of the market's cost structure that price alone cannot supply.

Why equal weights and in-sample caveats

Every enabled factor carries an equal share. With only about four completed Bitcoin cycles in the record, fitted weights would describe history rather than predict anything, and the temptation to keep tuning until the backtest looks good is exactly the failure mode worth designing against. Equal weighting removes that degree of freedom entirely. The evaluation statistics displayed with each factor are computed in-sample on collected history and should be read as descriptions of the past, not as validated forward performance.

Common questions

Do I need an account to use the On-Chain Lab?

The live readings and composite score are visible to everyone. A free account unlocks the research controls — switching individual factors on and off, and replaying the composite through history.

Is this the same as the risk model's on-chain category?

It draws on the same family of data but is not the same composite. The risk model blends on-chain with valuation, momentum and macro categories at published category weights; this lab is on-chain only, equal-weighted, and yours to reconfigure.

Which on-chain indicator is most reliable?

None individually. Cost-basis measures like MVRV have the longest track record at marking cycle extremes, but every one of them has produced early or false signals in at least one cycle — which is the argument for looking at a composite rather than a favourite.

Why do some factors show no data on some dates?

Different on-chain series begin at different points and some have gaps from their upstream providers. The composite reports its coverage so you can see how many enabled factors actually contributed to any given reading.

Related on Alphabit

Data is provided for research and education. Nothing here is financial advice — see the disclosure.