How much profit is being locked in by the Bitcoin outputs moving on-chain today?

How much loss is being locked in by Bitcoin outputs moving below their previous on-chain reference prices?

Are the Bitcoin outputs moving today locking in more profit or more loss overall?

What share of Bitcoin's circulating supply currently sits above its on-chain cost-basis proxy?

How much Bitcoin currently sits below the market price recorded when its UTXOs were created?

Is Bitcoin's market value above or below its aggregate on-chain cost-basis proxy?

How unusual is the gap between Bitcoin's market value and realised value after scaling for market-cap volatility?

How large is Bitcoin's aggregate unrealised profit or loss relative to its current market value?

What changes when the shortest-lived Bitcoin outputs are removed from SOPR?

Are Bitcoin outputs aged at least 155 days being spent above or below their previous on-chain value?

Are Bitcoin outputs younger than 155 days being spent above or below their previous on-chain value?

How much profit and loss is being realised on-chain relative to Bitcoin's realised capital base?

Bitcoin's active market value measured against a model of investor capital rather than the full realised value.

Which ages of Bitcoin supply are spending in profit or loss—and how broad is the move across neighbouring bands?

What share of the crypto market's measured value belongs to Bitcoin—and what sits inside the denominator?

What does a 0–100 crypto sentiment score combine, and which provider's method sits behind it?

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

Is the dollar value of Bitcoin issuance high or low relative to its trailing-year norm?

What does the UTXO set's average last-moved price say about Bitcoin's aggregate profit or loss regime?

How far is Bitcoin's price from a specified power-law fit—and how sensitive is that fit to its assumptions?

How many eligible altcoins beat Bitcoin over the chosen window—and which provider defines the sample?

How much computing work is the Bitcoin network estimated to perform each second?

How does Bitcoin reset proof-of-work difficulty every 2,016 blocks to target a ten-minute average?

What do the fast and slow hashrate averages show about network contraction and recovery?

Which side of the Bitcoin perpetual market is paying at the next settlement—and how expensive is that position?

How much derivative exposure remains open—and what can it tell you before you know the margin or direction?

Forced position closures, how they cascade, and why aggregate totals depend on venue and provider coverage.

How much Bitcoin sits in addresses attributed to exchanges—and how reliable are those labels?

What net ETF creations and redemptions reveal—and what they cannot prove about who bought or why.

How is Bitcoin's current UTXO supply distributed by age, and what changes when old outputs are spent?

How much age-weighted Bitcoin activity occurred when outputs were spent on-chain?

How high is Bitcoin's price relative to the HODL Bank model of accumulated unspent opportunity cost?

Is recent coin-day destruction high enough to lift Bitcoin's cumulative Liveliness ratio?

How large is Bitcoin's network value relative to the transfer value measured on-chain?

What is Bitcoin worth when every current output is valued at its last-moved price rather than today's price?

How much Bitcoin belongs to the statistically less-active long-term holder cohort—and how is that cohort defined?

How much Bitcoin sits with the statistically more-active short-term holder cohort—and what moves it there?

How much return has Bitcoin delivered above the chosen benchmark for each unit of total volatility?

How much return has Bitcoin delivered above a chosen target for each unit of downside deviation?

Whether the coins moving today are being sold above or below what they cost their holder.

Whether the coins being spent today belong to recent buyers or to holders who have waited years.

How much of the Bitcoin supply is being stored rather than circulated.

Whether the value being destroyed by moving coins is running ahead of its own recent norm.

How old the coins in each moving output were, averaged across everything that moved.

How often coin-day destruction has beaten its own norm, counted in days rather than measured in size.

Whether market value is cheap or stretched against the dormancy actually being realised.

The opportunity cost holders have absorbed by choosing, again and again, not to sell.

Spent coin time put on a footing that reads the same whichever decade you look at.

Aged spending read over a long window, so a phase shows and a single dramatic day does not.

How much long-dormant Bitcoin has woken, separated by how long it slept.

Whether the coins changing hands today are getting older or younger, read in years.

The average age of every Bitcoin in existence, whether or not it has moved.

The balance between the active and vaulted halves of supply, read against the point where they are equal.

Circulating supply split into the part that behaves as though it is for sale and the part that does not.

A cointime valuation reading that runs opposite to the rest of the dormancy suite.

A price-shaped line drawn from the coins that moved, read against spot.

How many genuinely independent buying eras sit inside today’s Bitcoin supply.

What recent buyers collectively paid, and why price crossing it decides so many pullbacks.

What aged supply collectively paid, and why price rarely gets anywhere near it.

An estimate of fair value drawn only from money that is genuinely still in play.

The value attributable to the coins that almost never move.

What the tradeable float paid for itself, leaving out coins that never come back to market.

A floor calibrated to the absolute lows of past cycles, and touched almost never.

A fair-value floor sitting between the aggregate cost basis and the deepest models.

What investors themselves paid, with coins nobody ever bought removed.

A cycle-top reference that moves as the network does, so the number is never fixed.

The price with as much supply sitting above it as below, split down the middle.

The closest thick band of coins overhead, all of it waiting to get back to level.

What the supply that has proved it holds actually paid for it.

A cost basis weighted by how long coins have been held, not just by how many there are.

The MVRV ratio drawn as a price, marking the point where paper gains are neither rich nor thin.

A long-run fair-value curve read against price on a calendar axis.

How far beneath the long-run model the market is trading, and nothing else.

The unfiltered distance between price and the highest level ever recorded.

Return measured against the worst loss you would have had to survive to earn it.

The share of all holding days across the record that currently sit in profit.

Every drawdown in the record, measured for how deep it went and how long it took to heal.

How deep the pullbacks inside a confirmed uptrend have run, cycle by cycle.

How large the counter-trend bounces inside a downtrend have been, bear market by bear market.

Which calendar months have closed positive more often than not, across the record.

How long the market has gone without setting a record, coloured across the price line.

Seven moving averages read as one shape, from fully fanned to completely tangled.

How many satoshis a single dollar commands, which is the price chart seen from the buyer’s side.

Whether the newest coins or the oldest ones carry more of the network’s invested value.

All twenty-one million coins accounted for at once: mined, unmined, lost and held.

The supply cap walked down to the coin that could realistically be bought today.

The prices at which the supply last changed hands, mapped across the whole history.

Where the coins sit once holders are sorted by how much each of them is carrying.

Whether the network as a whole has been adding to balances or shedding them.

Bitcoin held at institutional scale: funds, company balance sheets and governments.

Which coin ages hold the network’s invested capital, rather than which hold the coins.

How the prices recent buyers paid are spread out, rather than reduced to one average.

How the prices aged supply paid are spread, across years rather than months.

Whether the market is soaking up coin quicker than fresh coin turns up for sale.

What the smallest address cohorts are doing, ranked against their own history.

What the largest wallet cohorts paid for their coins, estimated and drawn against spot.

Which buying era still holds its coins, grouped by the year each one last moved.

Every age cohort over every day, drawn as a map so cohorts can be followed as they age.

Coin graduating into the seasoned bands, weighed against coin dropping back out of them.

The price band inside which most current holders are in profit, and how crowded it is.

How much leveraged exposure the market carries against the collateral actually sitting on exchanges.

The running balance of aggressive buying against aggressive selling, since the record begins.

Where forced closures have clustered by price level, rather than by the date they happened.

How leveraged exposure is split across venues, and what happens when one carries too much.

The flow attributable to the largest participants, read separately from the crowd.

The prevailing volatility regime, read as a slow wave rather than a daily print.

Whether the market’s biggest ranges are landing on up days or on down days.

How much genuine structure sits in price action, and how much of it is noise.

The real shape of daily returns, including the tails a bell curve refuses to admit.

Bitcoin’s realised movement set beside its peers rather than only against itself.

Whether the seller setting today’s tape is banking a gain or taking a loss.

Gains that have genuinely walked away, as opposed to gains sitting on a screen.

How hard each age cohort is selling relative to its own size, not in raw dollars.

The valuation question asked of the coin that actually circulates, not the whole supply.

The distance between what seasoned coin is worth now and what was paid for it.

Where the twitchiest money in the market stands against a very recent purchase price.

How well the newest money is being paid for the coin it is actually parting with.

What one unit of mining work earns, rather than what the whole industry takes in.

What it costs the network to produce a coin, and where price sits against that.

Several pressures on mining folded into one reading, where agreement is the point.

The total the network pays out, and how much of it comes from fees rather than issuance.

Price judged against the work securing the network, rather than against what holders paid.

The nearest thing available to a count of people genuinely using the network.

Listed miners set against the asset they mine, which is the comparison that decides.

What a block earns in fees once block-timing luck is taken back out of it.

How many pieces of coin the network consumed, read against how many it made.

Whether the people using the network have kept up with what the network is worth.

How much changed hands each day, measured against what this market has lately done.

Whether participation is building or draining, measured against this market’s own baseline.

How closely Bitcoin has been moving with the pool of capital already sitting in stablecoins.

What the trading achieved, as the money it has been taking to move price one percent.

The price levels this market keeps returning to, drawn from how long it has stayed at each.

A second summary of derivatives posture, built from different inputs to the first.

Which instrument the market is leaning on, and why the two behave so differently.

How much leverage the market carries relative to its own size, rather than in dollars.

The money genuinely committing to the network each day, rather than the value being traded.

How far each dollar of fresh capital travels once it meets a market this thin.

Whether dollars are entering the system, and whether Bitcoin is the thing capturing them.

The share of capital flow that comes from vehicles the dashboard can actually name.

Price restated as distance from its own average, on a scale that travels across assets.

Several measures blended into one percentile, built to be informative only at its edges.

A regime call that holds until price clears a threshold scaled to the market’s own noise.

The pool of dollars already converted and sitting on-chain, waiting to be spent or not.

Whether dollars are being created faster or slower than this market has lately managed.

The dollar pool scaled to the size of the asset it could buy, rather than counted in dollars.

How the supply splits across issuers, and how much of the market rests on one balance sheet.

Which chains hold the dollars, and what a sustained shift between them is telling you.

How much supply last changed hands at each price, split either side of today’s.

Where cost basis bunches tightly enough to have mattered, and how it sits around spot.

The share of supply in profit at any price, which turns the distribution into a what-if.

Which bands are taking on cost basis and which are giving it up, rather than where it sits.

The broad money stock plotted against the assets people buy to escape it.

Bitcoin against the dollar index turned upside down, so both lines point the same way.

What equity markets expect the next month to feel like, read as a gauge of nerve.

The policy rate and the balance sheet together, because either alone is half the story.

The balance sheet after the money parked out of reach is taken back out.

Consumer prices against the target, because inflation is what limits how much easing is available.

Government yields after inflation, which is what holding a non-yielding asset actually costs.

What lenders charge for time, and what the shape of that charge implies about growth.

What riskier borrowers pay above governments, which tends to move before equities do.

Weekly jobless claims, the fastest employment reading available and the noisiest.

A survey of the people placing orders, read against the line dividing growth from decline.

The broadest measure of output, and the slowest, which is the point of having it here.

How much of Bitcoin’s movement the macro channels currently account for, and no more.

How stretched the market is against its own history, read on deliberately slow closes.

How persistent the pressure is, which is why it can stay pinned through a whole trend.

An oscillator scaled to its own recent range, which is why it travels edge to edge so often.

The same trend measure at five horizons at once, so the week and the year can be compared.

Which way coin is moving on and off venues, smoothed enough to be readable.

What fraction of all the coin ever issued is parked where a sale takes seconds.

Each venue’s share of the coin held on exchanges, read as a question about custody.

The gap between one venue’s price and the global market, read as a clue about who is buying.

One number for whether money is backing Bitcoin or backing everything else.

Bitcoin’s share of the market’s total value, which rises whenever it is winning.

How many assets rose against how many fell, accumulated day after day.

How much of the field is currently sitting under its own slow trend line.

Whether this asset actually moves with shares, with gold or with the dollar.

How widely the buying is shared across the funds, rather than what the total says.

What the funds hold, split into money actually paid in and gain added on top.

What the complex is up or down in money against what it actually paid.

Every spot fund ranked by what it holds, with its share of the whole complex.

The running total of money committed since launch, rather than the daily rate.

How far committed capital has retraced from its high, which is not a price measure.

How much money is moving, with the direction deliberately stripped out.

Fund buying set against the new coin created that day, on a scale where one is parity.

The average price this holder base paid, which is a level people actually respond to.