Key Takeaways
- What it is: One number, realized capitalization, divided by another, supply. Everything the metric can and cannot do follows from that division.
- Nobody paid it: It is a quantity-weighted mean of every unit's last-move price, and a mean of a two-humped distribution falls in the valley between the humps.
- Crossing it is not a headcount: Price equal to realized price says the mean basis has been reached. The share of supply above water at that moment can be far from half in either direction.
- Cohort versions exist for a reason: Short-term holder, long-term holder, and balance-band realized prices split the distribution before averaging it, which is the only way an average of it becomes meaningful.
- The denominator is a trap: The supply used to divide must be exactly the supply summed in the numerator. Mixing a full-supply realized cap with a vendor's circulating-supply figure means nothing.
- It is the denominator of MVRV: Market price divided by realized price is the MVRV ratio, which inherits every weakness described here.
Who This Guide Is For
This guide is for anyone who has seen a chart of price against realized price and drawn a conclusion about how many holders are sitting on losses. That conclusion does not follow. Construction of the numerator is covered on the realized capitalization page; this page is about what happens when that sum is divided by supply and treated as a typical holder's break-even level.
Educational material only. Nothing here is individualized financial advice, and all figures are invented to illustrate arithmetic.
What Does Realized Price Measure?
Realized price measures the average price at which the current supply last moved, weighted by quantity. It is a summary statistic, and the useful question is not what it equals but what the distribution behind it looks like.
Suppose a network's supply had been acquired at prices tightly clustered around one level. The average would then describe almost every holder well. That is not how crypto supply distributions look. They tend to have a long-held block acquired years ago at a small fraction of current levels, a large block acquired during the most recent period of heavy turnover, and comparatively little in between, because heavy turnover is what concentrates basis at particular price levels.
Where the average lands
A quantity-weighted mean of a two-humped distribution sits between the humps, in the region with the least supply. The number is arithmetically correct and descriptively empty: it identifies a price level at which very little supply was actually acquired. That is what a mean does to a bimodal population, and it is why single-number cost-basis summaries need to be read alongside the shape they came from.
Technical definition
With supply partitioned into lots of quantity q_i whose last movements occurred at prices p_i, realized price is the sum of q_i × p_i divided by the sum of q_i. That is the definition of a weighted arithmetic mean. It is not a median, not a mode, and not the basis of any identifiable holder.
How Is Realized Price Constructed?
Construction is one division, which is why almost all of the construction risk lives in making the two sides of that division describe the same set of coins.
The universe-mismatch defect
A frequent and serious error is dividing a realized capitalization computed over the entire ledger supply by a circulating supply figure taken from a market-data vendor. Circulating supply typically excludes locked, escrowed, treasury, or unreleased tokens, none of which were excluded from the numerator. The result is inflated by whatever share of supply the vendor removed, and the error scales with the size of the excluded block. Any published realized price should state which supply definition sits underneath both halves.
Choosing the supply universe deliberately
- All ledger supply. The default. Includes lost coins and treasury holdings, so the average is pulled toward whatever prices those blocks last moved at.
- Live supply. Excludes coins untouched since a chosen cutoff, from both halves. Answers a more useful question and requires publishing an arbitrary cutoff.
- Entity-adjusted supply. Removes coins whose last movement was an internal transfer, which stops custodial reorganizations from moving the average.
- Cohort supply. Restricts both halves to an age band, a balance band, or an entity type.
Cohort splits are the real product
Providers publish short-term and long-term holder realized prices precisely because the aggregate hides the bimodality, and averaging across both clusters produces a number describing neither. The split is made at an age threshold the provider chooses: a convention, not a protocol rule, so two providers using different thresholds publish different cohort averages from identical chain data. The long-term holder supply guide and the short-term holder supply guide cover where the boundary behaves badly.
Formula and Measurement Logic
Realized price = realized capitalization / the supply that was summed to produce it
Two properties of this division are routinely assumed away.
The average moves without any holder acting. When a block of very old supply moves at today's price, its contribution to the numerator jumps from a tiny figure to a large one while the denominator does not change. The average can therefore climb sharply on a day the market price did nothing, because of a custodial consolidation involving no buyer and no seller.
The ratio to price is MVRV. Market cap divided by realized cap equals market price divided by realized price, since the same supply cancels from both. That identity means the MVRV ratio is not independent evidence about a realized price reading; it is the same reading expressed as a multiple.
| Choice | Options | Effect on the published level |
|---|---|---|
| Supply universe | All ledger supply, live supply, entity-adjusted, cohort | Must match the numerator exactly or the number is meaningless |
| Cohort threshold | Provider-chosen age or balance boundary | Moves the split point of the bimodal distribution |
| Lost supply | Included by default, excluded only by proxy rules | Holds the average down permanently |
| Self-transfers | Repriced or suppressed | Lets the average jump with no trading |
| Summary statistic | Mean by construction, rarely median | A mean of a bimodal population sits where no supply is |
| Quote currency | Fiat or native unit | A native-unit realized price answers a different question entirely |
How Should Realized Price Be Interpreted?
Read realized price as the first moment of the cost-basis distribution and nothing more. It answers where the quantity-weighted centre of gravity of that distribution sits, and it answers no question about counts.
What "price crossed below realized price" actually claims
It claims that the current market price is below the mean last-move price of supply: a statement about one summary number. The question people usually mean to ask is different. What share of supply is currently worth less than it last moved at? That is the cumulative distribution evaluated at today's price, and it has its own metric. Supply in profit and loss counts coins directly rather than averaging their prices, and it can move in the opposite direction from realized price on the same day.
Reading the two together
- Price below realized price with most supply in profit. A small quantity of recently repriced expensive supply is dragging the mean up. The pain is concentrated, not widespread.
- Price above realized price with most supply in loss. A large block of very cheap old supply is holding the mean down. The average flatters a majority that is underwater.
- Both agree. The distribution is closer to unimodal, and in that specific case the average is doing real descriptive work.
The third case is the only one in which realized price alone supports a claim about typical holders, and the only way to know you are in it is to look at the distribution.
Step-by-Step Workflow
- Confirm that the supply in the denominator is the same supply that was summed in the numerator.
- Pull the cost-basis distribution, or failing that the cohort realized prices, before the aggregate.
- Judge whether the distribution is closer to one hump or two. Only in the first case does the average describe anyone.
- If the question is how many coins are underwater, use supply in profit and loss instead.
- Check whether a recent move traces to one large old block being repriced rather than to broad turnover.
- Note the provider's cohort thresholds and whether they changed, since a threshold change moves every cohort average at once.
- State the supply definition alongside any published level.
Worked Hypothetical Scenario
All figures below are invented for illustration and describe no real network.
Take a hypothetical chain with 1,000,000 units of supply in three cohorts, deliberately shaped to be bimodal.
| Cohort | Units | Share of supply | Cost basis | Contribution to realized cap |
|---|---|---|---|---|
| Old | 550,000 | 55% | $3.00 | $1,650,000 |
| Middle | 50,000 | 5% | $28.00 | $1,400,000 |
| Recent | 400,000 | 40% | $61.00 | $24,400,000 |
| Total | 1,000,000 | 100% | $27,450,000 |
Realized price is $27,450,000 divided by 1,000,000, or $27.45. Only 5 percent of supply has a basis anywhere near it: the average describes the smallest cohort and misdescribes the other 95 percent in opposite directions.
The moment price equals realized price
Suppose the market price falls to exactly $27.45. A common reading is that the typical holder has just reached break-even, so roughly half the network should be underwater. Count the coins instead. Only the old cohort has a basis below $27.45, so supply in profit is 550,000 units, or 55 percent. The middle cohort at $28.00 and the recent cohort at $61.00 are both underwater, giving 450,000 units in loss, or 45 percent. The mean was crossed while a clear majority of supply was still above water.
One tranche moves, and the average jumps
Now 100,000 units of the old cohort move at $27.45, with the market price unchanged. The numerator loses 100,000 × $3.00 = $300,000 and gains 100,000 × $27.45 = $2,745,000. The denominator does not change.
| Before the move | After the move | |
|---|---|---|
| Realized capitalization | $27,450,000 | $29,895,000 |
| Supply | 1,000,000 | 1,000,000 |
| Realized price | $27.45 | $29.895 |
| Market price | $27.45 | $27.45 |
| Supply in profit | 55% | 45% |
| Supply at break-even | 0% | 10% |
Realized price rose about 8.9 percent in a day. The market price did not move, no new capital arrived, and the transaction could have been one custodian consolidating its own wallets. The market price is now below realized price, which reads as the network being underwater, while 45 percent of supply is in profit and 10 percent is exactly at break-even. The average and the count have given opposite impressions of the same chain.
What Can Make the Interpretation Wrong?
- Treating the average as a typical holder's entry. On a bimodal distribution the average describes the emptiest part of the population.
- Reading a crossing as a headcount. The share of supply underwater is a separate measurement and can sit far from 50 percent when the average is crossed.
- Mismatched numerator and denominator. Full-supply realized cap over a vendor circulating-supply figure produces a number with no interpretation at all.
- Treating MVRV as confirmation. It is price divided by realized price, so it agrees with realized price by construction rather than by evidence.
- Ignoring cohort threshold changes. Moving a provider's age boundary shifts every cohort average simultaneously, which looks like market behaviour and is not.
- Forgetting lost supply. Coins that can never move sit in the denominator at full weight while contributing an ancient price to the numerator, holding the average permanently below the live supply's true average.
- Comparing levels across chains. Two chains' realized prices are averages over different supply universes with different turnover histories and are not on a common scale.
Cross-Network and Provider Comparison
Realized price is harder to compare across providers than realized capitalization, because a divergence can come from either half of the fraction and the two causes look identical in a chart.
Start by checking whether the two providers use the same supply universe. A few percent difference in the denominator produces a few percent difference in the level, easily mistaken for a disagreement about pricing. Then check the cohort thresholds: two providers publishing a long-term holder realized price at different age boundaries are describing different populations under the same label.
Across networks, the deeper problem is that the shape of the cost-basis distribution differs by chain. A network with a large early allocation held by few entities has a heavier low-price hump than one distributed gradually, so its average is pulled further from the bulk of recent supply. Comparing two realized prices compares two summary statistics of two differently shaped populations. Supply-model differences compound this, as set out in the UTXO versus account model guide.
Advanced Analytical Methods
Publish the median, not just the mean
The median cost basis is computable from the same lot-level data and answers the question people are usually asking: what price is half of supply above? It is rarely published because it is not a ratio of two headline aggregates, but it is far more robust to a single large old block being repriced.
The cost-basis ladder
Plotting the quantity of supply whose basis falls in each price bucket turns the metric from a number into a shape: the humps, the empty middle, and where today's price sits relative to both.
Vintage realized price
Restricting both halves of the fraction to supply that last moved inside a chosen window gives that vintage's average entry. A ladder of vintages shows which acquisition periods are above and below water without collapsing them into one figure.
Sensitivity to the largest lot
Recompute the average with the single largest repriced lot of the period removed. If the level moves materially, the period's change was one transaction and should not be described as a shift in holder behaviour.
Swoopr Investment Tool: Cost Basis Ladder
Concept: a chart that shows the distribution behind the average rather than the average alone. Supply is bucketed by last-move price, the market price and the aggregate realized price are drawn as vertical markers, and the share of supply on each side of the market price is stated numerically.
The design goal is to make the failure mode described on this page impossible to reproduce. A reader can see immediately whether the distribution has one hump or two, whether the average sits in a populated region or an empty one, and how far the share of supply in profit is from half at the moment price crosses the average. Any such tool would stay descriptive, disclosing the supply universe and cohort thresholds it uses rather than labelling an asset cheap or expensive.
Practical Checklist
- I confirmed the denominator supply matches the supply summed in the numerator.
- I looked at the cost-basis distribution or the cohort averages before the aggregate.
- I judged whether the distribution is unimodal or bimodal.
- I used supply in profit and loss, not realized price, to answer how many coins are underwater.
- I checked whether one large repriced lot explains the period's change.
- I recorded the provider's cohort thresholds and whether they were revised.
- I did not treat MVRV as independent confirmation of a realized price reading.
- I stated the supply definition beside the published level.
Frequently Asked Questions
Did anyone actually buy at the realized price?
Almost certainly not. Realized price is a quantity-weighted mean of every unit's last-move price, and on a bimodal distribution the mean falls between the two clusters, in the region holding the least supply. The figure is arithmetically correct and describes a price level at which very little supply was acquired.
If price falls below realized price, are most holders underwater?
Not necessarily, and the two can disagree sharply. Realized price is the mean of the basis distribution; the share of supply underwater is the cumulative distribution evaluated at today's price. A large block of very cheap old supply can keep the majority of coins profitable while a smaller block of expensive recent supply pulls the mean above the market price. Supply in profit and loss answers the headcount question directly.
How do lost coins affect realized price?
They sit in the denominator at full weight while contributing an old, usually very low, price to the numerator. That holds the aggregate below where the live supply's true average sits, and the gap cannot close because those coins can never be repriced. Live-supply variants exclude coins untouched since a chosen cutoff from both halves, at the cost of publishing an arbitrary date.
Would a median cost basis be more useful than the average?
For the question most readers are asking, yes. The median identifies the price above which half of supply sits, which is exactly the break-even question, and it barely moves when one very large old lot is repriced. It is computable from the same lot-level data and is published far less often, mainly because it is not a ratio of two existing headline aggregates.
How is realized price different from an average of historical market prices?
An average of market prices weights each moment in time equally, or by whatever weighting is chosen, regardless of how much supply changed hands. Realized price weights each price by the quantity of coins that last moved at it, so periods of heavy on-chain activity dominate and quiet periods contribute almost nothing however long they lasted. A long stretch at one price with little movement leaves realized price largely unchanged, while a brief burst of activity can shift it noticeably.
Why can realized price rise while the market price falls?
Because it updates only for coins that move, and coins can move at prices above the prevailing level even during a decline. If the supply transacting during a falling market last moved at even lower prices, repricing it upward raises the aggregate cost basis. Issuance adds units at current prices as well. The two series are therefore not tied together, and divergence between them is the entire content of the ratios built on top of the pair.
Can realized price act as a support level?
It is often described that way and the description is not supported by the construction. Realized price is an average cost basis, and nothing about an average obliges the market to respect it. What can be said is that it marks the level at which aggregate unrealized profit across the network turns negative, which is a meaningful reference for interpreting holder position. Treating a reference level as a mechanism that will stop a price move is an assumption added on top of the metric, not a property of it.
How does a large distribution of newly issued coins affect realized price?
It pulls the average toward the price at which those coins were issued, in proportion to how large the distribution is relative to existing supply. On a network in an early phase where issuance is large compared with the outstanding total, realized price is dominated by issuance prices rather than by trading. As issuance falls relative to supply, the influence diminishes and the measure increasingly reflects coins changing hands. This makes the metric's meaning shift across a network's life.
Does realized price change when coins move between two addresses of one owner?
Yes, because the calculation cannot distinguish a self-transfer from a sale. Coins moved internally are repriced at the current market price exactly as if they had changed hands, which shifts the aggregate cost basis toward today's price without any economic transaction. Large entities restructuring their storage can therefore move realized price measurably. Entity-adjusted variants attempt to exclude these transfers, which improves the measure and makes it dependent on clustering heuristics.
References
These sources should be reviewed during editorial verification. They support data structures and methods, not the hypothetical conclusion. Provider formulas, chain rules, and APIs can change. Confirm current documentation before publication.
- Coin Metrics: Valuation Metrics: realized value definitions and the supply series they are divided by.
- Glassnode: Realized Capitalization Guide: the numerator this metric divides.
- Glassnode: Metric Catalog: where cohort and balance-band variants of cost-basis metrics are catalogued.
- Coin Metrics: Network Data Glossary: supply definitions, which decide the denominator.
- Bitcoin Developer Guide: Transactions: the output-level structure that makes lot-level cost basis observable.