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The inflation rate at which a nominal U.S. Treasury security and a comparable-maturity Treasury Inflation-Protected Security, or TIPS, would deliver the same total return is known as breakeven inflation. It is calculated as the difference between the nominal Treasury’s yield and the TIPS’s real yield, giving bond-market participants a tradable measure of the inflation compensation embedded in Treasury prices.
The measure is useful because it compares two securities issued by the same borrower over a similar horizon: one with payments stated in nominal dollars and another whose principal and coupon payments adjust with the Consumer Price Index. But a breakeven rate is not a clean, literal poll of what investors think inflation will be. It can also reflect the compensation investors demand for inflation uncertainty, differences in liquidity and short-lived trading pressures.
Breakeven inflation is the rate that equalizes nominal Treasury and TIPS returns
A nominal Treasury pays interest and returns principal in fixed dollar terms. Inflation erodes the purchasing power of those cash flows if prices rise over the life of the bond. Investors therefore generally require a nominal yield that incorporates compensation for expected inflation, alongside compensation for real returns and other market factors.
TIPS take a different approach. Their principal and coupon payments are adjusted for changes in the CPI, which is why their yields are commonly read as real yields. A TIPS investor is still exposed to market-price movements if selling before maturity, but the security’s CPI indexation distinguishes its cash-flow structure from that of a conventional Treasury. The Federal Reserve Board’s description of TIPS yield curves and inflation compensation sets out this relationship between nominal Treasury yields, real TIPS yields and the implied breakeven rate.
Set beside each other, the two yields create a threshold. If average inflation over the relevant period matches the breakeven rate, the nominal Treasury and the comparable TIPS would provide the same total return. Inflation above that threshold favors the inflation-indexed structure in this simplified comparison; inflation below it favors the nominal structure.
That is the meaning of “breakeven.” It does not mean inflation is guaranteed to reach that rate, nor does it identify the path CPI will take in each month or year. It represents the rate embedded in the relative pricing of the two instruments.
Subtract the comparable-maturity TIPS yield from the nominal Treasury yield
The basic calculation is straightforward:
Breakeven inflation rate ≈ nominal Treasury yield − comparable-maturity TIPS yield
Comparable maturity is essential. A 10-year nominal Treasury should be compared with a 10-year TIPS, rather than with a five-year or 30-year inflation-protected bond. Interest-rate and inflation expectations can differ materially across time horizons, so a mismatch can turn a useful comparison into a misleading one.
Consider a simple 10-year example. If the nominal Treasury yield is 4.3% and the 10-year TIPS real yield is 2.0%, the implied 10-year breakeven inflation rate is approximately 2.3%:
InputYield 10-year nominal Treasury4.3% 10-year TIPS2.0% Implied breakeven inflation2.3%
The arithmetic is 4.3% minus 2.0%. The Federal Reserve’s discussion of TIPS uses the same approximate framework. The word “approximately” matters: market yields and inflation-linked cash flows involve conventions and pricing details that make the shorthand spread an inflation-compensation measure rather than a complete model of realized returns.
Still, the calculation makes breakevens accessible. When the nominal yield rises while the matched TIPS yield does not, the breakeven widens. When the real TIPS yield rises more than the nominal yield, the breakeven narrows. Those movements describe changes in relative market pricing; explaining why they occurred requires more care.
Nominal Treasuries and TIPS supply the two sides of the market signal
Nominal Treasuries are conventional U.S. government securities. Their coupon and principal payments are not adjusted for inflation. Their stated yield is therefore nominal: it is expressed before accounting for changes in consumer prices.
TIPS are also U.S. Treasury securities, but their principal and coupon payments are adjusted according to CPI changes. That indexation is the crucial component of the breakeven comparison. It allows their quoted yield to be commonly interpreted as a real yield, meaning a yield measured relative to inflation rather than in unadjusted dollars.
The comparison works best when the securities are similar in maturity and when the observer understands what is being compared. A breakeven is a yield spread, not a direct comparison of coupon rates, and it is not simply the difference between two investors’ individual returns. It arises from the prices at which the market values nominal and inflation-indexed Treasury cash flows.
Market participants can use that spread as a common reference point because both legs are Treasury instruments. Central banks, economists, portfolio managers and other observers may track it alongside surveys, inflation data and other measures. None of those tools answers precisely the same question. Survey respondents report views; CPI describes price changes that have occurred; a breakeven reflects prices in a market at a given time.
What a 10-year breakeven rate says about inflation over the next decade
A 10-year breakeven is generally read as market-based inflation compensation over the next decade. In the simplified equal-return interpretation, it is the average inflation rate over that horizon that would make holding a 10-year nominal Treasury and a comparable 10-year TIPS equivalent in total-return terms.
“Average” is a key word. A 10-year figure does not say inflation will be constant at that level every year. A period of high inflation followed by lower inflation could produce the same broad average as a steady path, while producing very different economic conditions and market outcomes along the way.
Readers commonly encounter the measure through the Federal Reserve Bank of St. Louis’ FRED database. Its 10-Year Breakeven Inflation Rate series, T10YIE, is derived from 10-year nominal Treasury constant-maturity yields and 10-year Treasury inflation-indexed constant-maturity yields. FRED’s series listing records a 2.31% observation for August 28, 2026.
That series is a convenient benchmark, but the label should not be overread. It indicates a market-implied compensation measure at a 10-year horizon, not a prediction that CPI will rise by the displayed rate in every future year or a definitive estimate of the public’s inflation outlook.
Historical daily 10-Year Breakeven Inflation Rate, a market-based measure of average expected inflation over the next decade. — Source: Federal Reserve Bank of St. Louis FRED
Why breakeven inflation is not the same as an inflation forecast
The central limitation is that breakeven inflation combines more than expected inflation. The Federal Reserve has summarized the relationship as inflation compensation equaling expected inflation, plus an inflation risk premium, plus other factors. A breakeven rate can be an informative market gauge without being a pure forecast.
An inflation risk premium is compensation associated with uncertainty about future inflation. Investors in nominal bonds face the risk that realized inflation could diminish the purchasing power of fixed cash flows by more than anticipated. Changes in that premium can move the nominal-versus-real yield spread even if investors’ central expectation for inflation has not changed.
Liquidity is another consideration. TIPS liquidity premiums may affect their yields and, by extension, the spread against nominal Treasuries. Temporary market-specific trading effects can also influence the quoted breakeven. The Federal Reserve’s analysis of inflation risk premiums cautions that these components can affect market-based inflation compensation.
As a result, a falling breakeven rate cannot be translated one-for-one into a fall in underlying inflation expectations. It may partly reflect lower expected inflation, but it may also reflect a change in the inflation risk premium, a liquidity effect or other market factors. The reverse is true when the spread rises.
Breakevens are consequently most useful as one input rather than a standalone verdict. Comparing maturities can help distinguish near- and longer-horizon pricing, while comparing the spread with surveys and realized inflation data can provide context. The measure’s value lies in its being market priced and continuously observable; its limitation is that the market price embeds several influences at once.
Frequently Asked Questions
What does a 2% breakeven inflation rate mean?
In the basic matched-maturity comparison, it means average inflation of about 2% over the bond horizon would equalize the total return on the nominal Treasury and the TIPS. It is an implied threshold, not a guarantee of realized inflation.
How is the 10-year breakeven inflation rate calculated?
Subtract the 10-year TIPS real yield from the 10-year nominal Treasury yield. A 4.3% nominal yield and 2.0% real yield imply an approximate 2.3% breakeven.
Why must Treasury and TIPS maturities match?
Yield levels reflect conditions over particular time horizons. Matching maturities helps ensure the spread captures inflation compensation over the same period rather than differences between, for example, five-year and 10-year rates.
Does a higher breakeven always mean investors expect higher inflation?
No. Higher expected inflation can widen the spread, but so can changes in inflation risk premiums, TIPS liquidity premiums and market-specific trading conditions.
Is breakeven inflation the same as CPI inflation?
No. CPI is an index used to measure price changes, while a breakeven is a market-derived yield spread that reflects compensation related to expected future inflation and other factors.
Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

A Megaways slot promises up to 117,649 ways to win. That number does a lot of marketing work, and it describes something real, but it does not describe what most players assume it describes.
Here is where the figure comes from, what it actually tells you, and which crypto casinos carry titles built on the engine.
Where 117,649 Comes From
Big Time Gaming built the mechanic and launched it with Bonanza in December 2016. The studio now sits inside Evolution and holds licences from the UK Gambling Commission and the Malta Gaming Authority.
It licenses the engine to other developers, which is why hundreds of Megaways titles exist across studios that had nothing to do with inventing it.
The arithmetic behind the headline number takes about a minute to follow.
Six reels, changing height. Every spin, each reel independently shows somewhere between two and seven symbols. The grid is a different shape each time you press the button.
Multiply the reel heights together. That product is the number of ways. Two symbols on all six reels gives 64 ways. Seven on all six gives 7 × 7 × 7 × 7 × 7 × 7.
Which comes to 117,649. Seven to the sixth power. The engine cannot produce more, and it only reaches that figure when all six reels land at full height simultaneously, which happens rarely.
Wins run left to right on adjacent reels. Matching symbols pay if they appear anywhere on consecutive reels starting from the first. Vertical position is irrelevant, and that is what makes the ways structure work at all.
Cascades chain further wins. Winning symbols disappear, new ones fall into the spaces, and any fresh combination pays again. One paid spin can produce a run of them.
Some titles add a horizontal reel. Bonanza runs an extra row above the middle reels that contributes symbols to the count, and in that game it is the only place wilds turn up.
More Ways Does Not Mean Better Odds
This is the part the number implies and the maths does not support.
Studios calibrate the paytable against the ways count.
A game offering 117,649 ways pays proportionally less per matching combination than a twenty-payline slot, which is why Bonanza's published return sits at 96%, squarely average, and why Megaways titles across studios cluster in the same range as ordinary slots.
So the figure tells you the grid reshapes and that wins can form in many configurations. It does not tell you the game returns more, because it does not return more.
Treat 117,649 as a ceiling, not a per-spin constant. Most spins produce a small fraction of it.
The Return Lives in the Bonus
Megaways titles run high volatility, and the structure explains why.
Cascades and variable reels produce reasonably frequent small hits during base play. One analysis of Bonanza records hit frequency near 37%, roughly one win every two and a half spins, which sounds generous until you notice most of those wins land below the stake.
The substantial money sits in free spins, where cascading combines with an increasing multiplier that many titles leave uncapped. Each cascade during the round lifts the multiplier, so a long chain escalates quickly. Base play funds that feature, which is the textbook shape of a high-variance slot.
Bonanza triggers its round on four G-O-L-D scatters for twelve free spins, adding five more per additional scatter.
Versions Differ, So Check the Panel
A caution that applies across the whole format.
Reported maximum wins for the same Megaways title vary considerably between sources and builds. Return figures differ between titles too: White Rabbit is commonly listed near 97.24% and reaches 248,832 ways in some versions, while Extra Chilli often appears around 96.82%.
The figures that apply to you are the ones in the game's own information panel at the casino you opened, not the ones on a comparison page, and returns are configured by the studio with the operator choosing which build to run.
Five Crypto Casinos Carrying Megaways Titles
Each of these lists the format, with the studio behind it noted where it matters.
Dexsport carries Big Time Gaming among its slot providers, meaning the format appears at source and not only through licensees. Its catalogue filters by feature, so Megaways titles surface without opening games individually, and demo versions across much of the library let the reel-height variation and cascade chains be watched before staking. The platform is non-custodial and runs under an Anjouan licence, lighter than Curacao or Malta.
Stake carries Megaways content alongside a large slot catalogue and its own originals suite, with balances held by the operator between sessions.
BC.Game lists the format within a substantial library built over years of trading under Curacao licensing, with wide coin support at the cashier.
Vave offers Megaways titles from established studios, with multi-coin funding and a narrower overall catalogue than the platforms above.
Mega Dice draws on around 50 providers across its wider library, with Telegram-native access for players who prefer it.
Provider range is the thing to check here, since a casino without Big Time Gaming or one of its licensees carries no Megaways at all, whatever the slot count says. Which studios a lobby signs decides what appears in it.
Playing the Format Knowingly
Megaways is a genuine piece of slot engineering: a grid that reshapes every spin, wins that chain through cascades, and a free spins multiplier that can escalate without a ceiling.
Read the headline number as a description of structure, expect long stretches without the feature, and check the return figure on the specific build in front of you.
Confirm what is legal where you live, keep stakes within a set budget, and play only if you are of legal age, since KYC or AML checks may apply.
Responsible gambling matters with high-variance formats, where a long run without the bonus can feel like a game building toward something, when the distribution is simply behaving as designed.


Disclaimer: The information here is provided for general purposes only and is not legal, tax, investment, or financial advice. Return figures, maximum wins and mechanics vary by title, version and operator, so consult each game's published information before playing. Betting carries risk, and rules vary by country, so check the law where you live. Please gamble responsibly, within your means, and only if you are of legal age.

Bitcoin UTXO age bands sort the currently unspent transaction outputs on the blockchain by how long they have remained unspent. They measure the age of an output, rather than directly measuring an investor’s personal holding period, identity or conviction. That distinction is central to using the data responsibly.
A Bitcoin transaction creates outputs that can later be spent. Until an output is referenced as an input in a subsequent transaction, it remains part of the unspent transaction output, or UTXO, set. When it is spent, that specific output leaves the set and the new transaction creates new outputs in its place, as outlined in the Bitcoin Developer Guide. Age-band charts follow that lifecycle across the supply that is currently unspent.
UTXO age measures an output’s last movement, not a holder’s identity
A UTXO is a discrete spendable output, not a wallet balance and not an individual. Its age is the elapsed time since it was created or last moved into its present output form. Analysts group those unspent outputs into time ranges, which can run from less than a day through intervals such as one week to one month, one to two years, and more than 10 years.
This approach is often described as a holding-time view of Bitcoin supply. It is useful shorthand, but it should not be mistaken for a census of holders. One person or institution can control many UTXOs of different ages; conversely, one age band can contain outputs controlled by many unrelated parties. The cohort framework described in Scientific Data is based on observable output history, not verified beneficial ownership.
That makes the unit of analysis unusually important. A person who has economically owned bitcoin for years may move it between wallets or custody arrangements, producing new outputs that begin at the youngest age. A long-lived output, meanwhile, may belong to an active investor, a custodian, an exchange-related address, or an owner who no longer has access to the keys. The blockchain records movement of outputs; it does not attach a definitive explanation to that movement.
For this reason, phrases such as “old coins” and “young coins” are best read literally. They describe the time since a UTXO’s most recent on-chain creation or movement. They do not, by themselves, establish whether the underlying bitcoin has changed hands economically.
How spending resets UTXO age bands
An unspent output ages continuously as long as it remains in the UTXO set, moving from a short-duration cohort into progressively older ones without any transaction. Once it is spent, its history as an unspent output ends.
The spending transaction consumes the old UTXO as an input and creates one or more new outputs. Those resulting outputs enter the youngest age category because they have just been created. This reset-and-maturation mechanism is the basic reason age-band charts change: supply either grows older while untouched or returns to the young end of the distribution after a transaction.
Consider a simplified sequence. An output is created and remains unspent for 18 months, placing it in whatever age range includes that duration. If it is then used in a transaction, the 18-month-old output is removed. The recipient output and any change output created by that transaction start again as new UTXOs, even if the same person retains economic control of some or all of the bitcoin.
That example also explains why a growing young cohort does not automatically mean new buyers have entered the market. It shows that outputs have been created recently. Those outputs may reflect a transfer to another owner, but they can also result from wallet management, exchange activity or a custody change. Glassnode’s documentation on HODL Waves describes the same process: spent coins reset the age of the outputs produced by the transaction, while unspent coins continue to mature.
HODL Waves turn UTXO cohorts into a supply distribution
HODL Waves are a common visualization of UTXO age bands. They show the proportion of Bitcoin supply represented by each cohort at a given point in time. Usually displayed as layered bands, the chart lets a reader see whether the share in younger or older ranges is expanding or contracting.
The stacked structure matters more than any one band in isolation. A rising old-age share can reflect outputs remaining unspent long enough to cross into that cohort. A swelling young-age share can reflect recent spending and the creation of replacement outputs. Looking across the distribution helps distinguish broad maturation from a change concentrated in one portion of the age spectrum.
Multiple cohorts are preferable to reducing the data to a single average holding time. Recent academic work on Bitcoin transaction flows found holding-time distributions to be heavy-tailed, extending from roughly one day to more than 200 weeks. That spread supports the use of several ranges because short-lived and very long-lived outputs coexist in the data, according to research published in Physica A.
The precise labels can differ by data provider or chart design, so comparisons should begin by checking the band boundaries. A one-week-to-one-month cohort, for example, answers a different question from a one-month-to-three-month cohort. Changes near a boundary can be caused simply by outputs aging into the next defined range.
What expanding old and young cohorts can indicate during market cycles
Age bands are often used as a market-cycle lens because they show whether more of the observable unspent supply has stayed dormant over extended periods or has recently been moved. A growing share in older cohorts generally indicates accumulation and a decline in liquid supply. In that context, the chart is capturing maturation: outputs were not spent before reaching the relevant threshold.
At the other end, a rise in young cohorts can indicate that older coins have been reactivated, transferred or distributed to newer holders. The possible readings are deliberately broader than “selling.” A transaction can create young outputs without proving the sender sold bitcoin, and an old output can be spent for reasons unrelated to a directional market view.
Used carefully, the comparison can add context to price-focused analysis. A supply distribution tilted toward longer-held outputs may be consistent with fewer coins being recently moved, while renewed growth in young bands may show more on-chain activity affecting the age structure. Glassnode’s research on Bitcoin on-chain market cycles frames these shifts as signals that can be associated with accumulation, reactivation and distribution.
The operative word is “associated.” Age bands describe the result visible on-chain, not the intentions behind it. They are more useful when considered as a changing distribution over time than when treated as a standalone verdict on whether a cycle has reached a particular stage.
Cumulative distribution of Bitcoin UTXOs by age, showing how unspent supply is distributed across holding-time cohorts. — Source: Scientific Data
Why age bands lag and cannot confirm buying, selling or conviction
Long-duration cohorts have an unavoidable built-in lag. A coin accumulated today cannot appear in a two-to-three-year band until it has remained unspent for at least two years. An increase in that cohort therefore confirms that outputs have survived to the threshold; it cannot provide a real-time reading of today’s accumulation.
This lag is not a flaw in the calculation. It follows directly from the definition of the bands. But it means analysts should avoid treating an old-age band as an immediate signal, especially when the question concerns recent market behavior.
Ownership is the second major limitation. Blockchain data does not identify the person or entity controlling an output, and it does not prove whether spending an output represented a sale. Exchange transfers, internal wallet management, custody changes and lost coins can all complicate interpretation, as the cohort-analysis study in Scientific Data notes.
A very old UTXO may therefore represent deliberate long-term storage, operational inertia, or coins that cannot be spent because their keys have been lost. Likewise, a newly created UTXO may belong to a new buyer, but it may just as readily be change returned to the same controller after a transaction. The data establishes the age and movement of outputs, not the economic purpose of every transfer.
Age bands are consequently best treated as a blockchain-native supply and activity measure. They can help organize observations about maturation and reactivation across market cycles, but they do not independently verify demand, conviction, ownership changes or future price direction.
Frequently Asked Questions
Are old UTXOs necessarily held by long-term investors?
No. An old UTXO has remained unspent for a long time, but the blockchain does not identify its owner or show why it was left untouched. It may also be associated with custody arrangements or inaccessible coins.
Does a spent UTXO prove that bitcoin was sold?
No. Spending proves that an output was used as a transaction input. The transaction could reflect a sale, a transfer, wallet consolidation, a custody movement or another purpose.
Why can bitcoin appear young after an internal transfer?
Spending removes the prior output and creates new outputs, including possible change. Those newly created outputs start in the youngest age band even when economic ownership has not changed.
Why do long-term UTXO bands lag market behavior?
Each output must remain unspent until it crosses the band’s lower boundary. A two-to-three-year cohort cannot include a recently accumulated output before two years have elapsed.
Do UTXO age bands predict Bitcoin’s price?
They do not provide a direct price prediction. They describe how unspent supply is distributed by age and can offer context for market-cycle analysis, subject to ownership and transaction-purpose blind spots.
Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

Altcoin open interest is the total number of altcoin futures contracts that remain outstanding rather than having been closed, offset, delivered or fulfilled. It measures the amount of active derivatives exposure in a market. It does not, by itself, show that traders are collectively bullish or bearish.
That distinction matters because every futures contract has a buyer and a seller: one long position and one short position. Only one side of the matched contract is counted in open interest. The aggregate long open interest therefore equals aggregate short open interest, even when one side of the market may be under greater pressure. CME Group and the U.S. Commodity Futures Trading Commission describe open interest as a count of outstanding contracts, not a tally of a market's net directional conviction.
What altcoin open interest counts—and what it cannot tell you
Altcoin open interest in crypto derivatives generally means open perpetual or dated futures positions tied to tokens other than bitcoin. Reported in contracts or dollar value, it is a count of positions still outstanding until offset, delivered, fulfilled or otherwise settled. Because every futures contract has one long and one short, a corresponding long-short pair adds one contract to open interest, not two. For example, a new long SOL futures position matched with a new short raises open interest by one contract; closing the pair lowers it by one.
That count does not identify a market as net long or net short, because it records live contracts rather than a standalone directional vote. A rising total can occur during an advance, a decline or limited price movement. Directional analysis therefore also uses price behavior, funding, futures basis, position data or trader-category data.
Open interest versus volume
Open interest and trading volume answer different questions. Volume counts contracts traded over a specified period. Open interest counts contracts still outstanding at a point in time. A contract can trade several times during a day and add substantially to volume without remaining open by the end of that period.
When both parties create a new futures position, open interest can rise. When existing positions are closed, it can fall. As CME Group's futures guide notes, rising open interest can indicate that new positions are entering the market, while falling open interest often reflects position closure.
Neither relationship supplies a complete explanation for a move. High volume may reflect rapid turnover, profit-taking, hedging or forced exits. Rising open interest says that exposure is being added, but not which side has the better trade or whether those new positions are sustainable. This is why a chart of open interest is more useful as a participation and leverage measure than as a standalone trading signal.
Reading open interest with price, funding, basis and market size
Price and open interest together show when exposure is entering the market, not what that exposure means. A simultaneous rise can accompany an advance, while rising open interest during a price decline also indicates new exposure. The aggregate total cannot distinguish principally between fresh shorting, long accumulation, hedging or a mixture of activities.
For additional context, funding is a periodic payment mechanism used in many perpetual-futures markets, and basis is the relationship between a futures price and the underlying market. They help frame futures pricing and positioning around spot, but position-level data is still needed for a more specific reading.
Raw scale changes the significance of the number: a large open-interest value may be routine for a highly capitalized asset and more consequential for a smaller market. The CFTC places open interest alongside price and volume in assessing participation and liquidity, not as a standalone bullish or bearish signal. It also notes that higher open interest can leave more positions vulnerable to a forced unwind, as described in its discussion of open interest.
Another view compares derivatives exposure with market size. In a Coinbase Institutional chart, altcoins mean all tokens excluding BTC, and altcoin contracts are measured in dollar value for every $1 of BTC derivatives open interest. Combined with altcoin market capitalization, the comparison tracks whether derivatives activity is expanding or contracting relative to the underlying altcoin market.
How margin creates liquidation risk
Open interest becomes especially relevant when positions use margin. Margin allows a trader to control a futures position with less capital than the position's full value. That leverage magnifies the effect of price changes on the equity supporting the trade.
A position becomes vulnerable when account equity or margin falls below the required maintenance margin. At that point, an exchange may automatically close part or all of the position to manage risk. Coinbase's risk-management guidance identifies leverage, position size, margin, available balance and contract rules among the inputs that affect liquidation prices.
The basic sequence is straightforward. A trader opens a leveraged position; the market moves adversely; the equity available to support that position declines; and a maintenance-margin threshold can trigger an automatic reduction or closure. Closing can itself require market transactions, which matters when many traders are approaching similar risk thresholds at once.
Liquidation is generally assessed using a mark price rather than simply the last traded price. The calculation and process differ by venue. Bybit's contract documentation, for example, notes both the use of mark price and the fact that higher leverage places a liquidation threshold closer to the entry price. There is therefore no universal formula that can reliably convert an aggregate altcoin open-interest figure into one liquidation price.
Why high altcoin open interest can amplify a forced unwind
High open interest is not inherently unhealthy. It can accompany deeper participation and greater activity in a futures market. But it also means more outstanding contracts exist, and some portion may be supported by margin that becomes insufficient after an adverse move.
The risk is most acute when leverage is concentrated and price begins to move through levels that pressure one side of the market. Long positions can face liquidations during a sharp decline; short positions can face them during a sharp rise. Forced closures may add buying or selling into the existing move, potentially intensifying it.
An aggregate reading of open interest can flag vulnerability, but it cannot map a precise liquidation cascade or identify the exact point at which this process begins. That limit reflects differences among traders’ leverage, collateral balances, entry levels and contract types, as well as exchanges’ maintenance-margin schedules, mark-price methodologies and liquidation rules.
Altcoin open-interest dominance ratio versus altcoin market capitalization; source note identifies CoinMetrics, TradingView, and Coinbase. — Source: Coinbase Institutional
Practical sequence: interpreting open interest during a price move
Suppose an altcoin's price is rising and its open interest is rising at the same time. The immediate conclusion should be limited: outstanding futures exposure is increasing during the rally. That can reflect strengthening participation, but it can also build a more crowded and leveraged market.
Start with price and open interest. Establish whether exposure is being added or removed as the market moves. A rise in open interest points to contracts remaining outstanding, unlike a volume spike that may merely show heavy trading.
Check funding or basis. These measures provide context on the futures market's pricing and positioning conditions. They do not transform total open interest into a direct count of bullish or bearish traders.
Put the figure in proportion. Compare exposure with the asset's market scale and, where relevant, with BTC derivatives exposure. A relative approach can be more informative than a raw dollar number.
Review venue-specific liquidation conditions. Mark price, leverage, maintenance margin and contract rules determine how close positions may be to forced closure.
If price then reverses, the earlier rise in open interest becomes relevant as a possible source of unwind pressure. Yet the available data still may not show how much exposure belongs to longs, shorts, hedgers or traders using different collateral. The appropriate reading is conditional: elevated open interest can increase the pool of positions vulnerable to forced closure, not guarantee that liquidations will occur or determine their direction.
Frequently Asked Questions
Is rising altcoin open interest bullish?
No. It indicates that more futures contracts are outstanding, not that longs exceed shorts. Price, funding, basis and other positioning information are needed for directional context.
Does open interest show whether there are more longs than shorts?
No. Every open futures contract has a long and a short, so aggregate long and short open interest are equal by construction.
How does open interest differ from futures volume?
Volume measures contracts traded during a period. Open interest measures contracts that remain active after trading, so it is a stock of outstanding exposure rather than a record of activity over time.
Does high open interest guarantee a liquidation event?
High open interest can mean a larger pool of leveraged positions may be exposed to a sharp move, but it does not by itself determine whether liquidations occur. That depends on price changes, margin and each exchange's rules.
Why can liquidation prices differ across exchanges?
Venues can use different mark-price methods, maintenance-margin requirements and contract specifications. A trader's leverage, position size, margin and available balance also affect the threshold.
Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

The Treasury term premium is the extra compensation investors require to own a longer-maturity Treasury rather than repeatedly buying short-term securities. Put simply, a long Treasury yield can be separated into the market's expected future path of short-term interest rates and this additional premium for bearing the uncertainties of holding a bond over time.
That distinction matters because long-term yields can rise for either reason. Investors may expect higher future short rates, often associated with a different outlook for Federal Reserve policy. Or they may demand more compensation for holding duration even if those policy-rate expectations have not risen by a comparable amount. The term premium is not a quoted, directly traded price; it is a model-based estimate. The Federal Reserve Bank of New York describes the decomposition as expected short rates plus a term premium, while noting through its published estimates that the latter is an analytical component of yield rather than an observable security price.
Treasury yield = expected short rates + term premium
A stylized way to express the relationship is:
Long-term Treasury yield ≈ expected future short-term rates + term premium
The first part reflects what market participants collectively price in for short-term interest rates over the life of the bond. For a 10-year Treasury, that includes expectations about the path of short rates over a long horizon, not merely the next Federal Reserve decision.
The second part addresses the choice facing an investor. An investor can lock money into a longer bond, or hold short-dated securities and roll them over as they mature. Holding the longer instrument exposes the investor to changing market conditions and potentially substantial price movements before maturity. The term premium is the return compensation associated with accepting that exposure.
This is a decomposition, not a fixed accounting identity that can be read directly from a screen. A 10-year yield is observable in the market. The expected-rate component and the premium must be inferred using a model and available market information. That is why an observed rise in a long yield does not, by itself, establish whether markets are anticipating tighter monetary policy, seeking more duration compensation, or pricing some combination of both.
Which risks investors are being paid to bear
The term premium is commonly described as compensation for risks that may affect long-bond returns. The Federal Reserve Board identifies interest-rate changes, inflation uncertainty and liquidity conditions among those risks, alongside other factors that can influence returns on long-term bonds.
Interest-rate risk is central. Bond prices generally fall when yields rise, and the effect is larger for securities whose cash flows extend farther into the future. An owner of a long Treasury who sells before maturity can therefore sustain a mark-to-market loss when the yield demanded by the market moves higher.
Inflation uncertainty can matter because it clouds the purchasing power of the fixed payments promised by a nominal Treasury. Liquidity conditions can matter because investors may place a higher value on the ability to trade, finance or reposition holdings readily when markets are under strain. These are not separate fees visibly added to a bond yield. They are overlapping forces that models seek to summarize in a single residual component.
The premium need not be constant, and its movement should not be reduced to a single story. A market can reassess inflation uncertainty, the supply of long-maturity debt, the willingness of investors to absorb duration, or broader economic uncertainty. Those shifts can alter the compensation investors demand without requiring an equivalent reassessment of the near-term policy-rate path.
How a higher term premium raises yields without Fed-rate expectations moving
Consider a simplified example. If the expected short-rate portion of a 10-year Treasury yield is unchanged but investors require more compensation to hold the 10-year bond, the term-premium component rises. The yield on the bond can then rise even though the expected path of Federal Reserve policy has not changed by the same amount.
Because a bond's coupon and principal payments are fixed, its price must adjust downward for its yield to increase. Existing long Treasuries are therefore particularly exposed to a term-premium shock. New buyers receive a higher prospective yield, while existing holders face lower market values if they need or choose to sell before maturity.
The 2023 Treasury selloff offers a useful historical illustration of the distinction, rather than a template for every market move. A Federal Reserve analysis published in 2024 concluded that much of the increase in the 10-year Treasury yield during that episode was associated with a higher term premium. It cited quantitative tightening, greater Treasury issuance and heightened economic uncertainty as possible drivers.
The lesson is narrow but important: a higher long-term Treasury yield does not automatically mean markets have marked up the expected level of future Fed policy rates by an equal amount. Yield decomposition can help separate those explanations, subject to the limits of the model used.
Why long Treasuries and stocks can both come under pressure
A higher term premium can pressure long-term Treasuries and equities simultaneously without a comparable change in expected future policy rates, but the channels differ. Longer-duration Treasury bonds are more exposed to rising required yields because their distant cash flows can generate larger mark-to-market losses. Former Fed Chair Ben Bernanke noted this sensitivity in a 2013 speech; the compensation investors require for holding them partly reflects interest-rate risk.
For stocks and other long-duration assets, higher yields raise the discount rate on future cash flows and reduce their present value, putting downward pressure on valuations, as the Federal Reserve has noted. “Long duration” refers to value tied to cash flows expected further in the future, not a stock’s having a maturity date. This is a potential valuation effect, not a rule that stocks and bonds always fall together or that every equity selloff reflects the term premium.
Treasury supply, quantitative tightening and demand for duration
The term premium is the compensation investors require to hold longer-maturity Treasuries rather than short-term securities, reflecting risks associated with duration.
In its analysis of the 2023 Treasury selloff, the Federal Reserve identified greater Treasury issuance, quantitative tightening and heightened economic uncertainty as possible contributors to the rise in the term premium. More supply means the market may have more long-maturity debt to absorb. The analysis does not establish a universal one-for-one relationship between issuance or quantitative tightening and the premium; it identifies them as possible influences in that episode.
Demand for duration comes from investors and institutions seeking long-dated, high-quality fixed-income assets. The Treasury Borrowing Advisory Committee has identified higher global long-duration debt supply and structural changes in demand as forces that can increase term premiums and government debt-service costs.
Term premiums are estimated from Treasury yields rather than directly observed or directly traded, and different models can produce materially different estimates. Changes in the supply of long-duration debt or structural demand can therefore matter to pricing without providing a precise explanation for a daily yield move.
Why term-premium readings are useful but not a quoted price
Term-premium estimates provide a framework for asking whether rising Treasury yields reflect the expected short-rate path, duration compensation, or both.
The term premium cannot be observed directly; it must be estimated with models. Different models can produce materially different estimates, according to the Federal Reserve Board's review of long-maturity term-premium measures.
That makes a reading an estimate from a particular model, not an exact traded price or an amount that every investor demands.
The New York Fed's Adrian, Crump and Moench, or ACM, model publishes daily and monthly estimates for Treasury maturities from one to 10 years. Its term-premia data page offers a consistent series for tracking estimates over time.
Results can change as data are updated and as methodologies emphasize different features of the yield curve. Use the estimate as a decomposition tool with expected-rate measures and broader market context, not as proof of a single cause.
Frequently Asked Questions
Is the term premium the same as the Federal Reserve's policy rate?
No. The policy rate is a short-term rate set by the Federal Reserve, while the term premium is estimated compensation for holding longer-maturity Treasuries instead of rolling over short-term securities.
Can Treasury yields rise if markets do not expect higher Fed rates?
Yes. A higher term premium can lift long-term yields even without a comparable increase in expected future policy rates.
Why does a higher term premium hurt existing bond prices?
Existing bonds have fixed promised cash flows. When the market demands a higher yield, their prices typically fall, with longer-duration bonds generally more sensitive to the adjustment.
Does a rising term premium always mean inflation is expected to rise?
No. Inflation uncertainty is one relevant risk, but interest-rate risk, liquidity conditions, debt supply, demand for duration and broader uncertainty may also influence the estimated premium.
Where can readers find a Treasury term-premium estimate?
The New York Fed publishes daily and monthly ACM-model estimates for Treasury maturities from one to 10 years. They should be read as model outputs rather than directly observable market prices.
Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

Bitcoin Reserve Risk is a long-term cyclical indicator that divides Bitcoin’s current price by its cumulative HODL Bank. In practical terms, it compares the market’s incentive for holders to sell with the conviction implied by their continued decision not to sell.
That distinction matters because Bitcoin’s price alone cannot show whether older holders are distributing their coins or remaining patient. Reserve Risk is designed to bring both sides of that relationship into one measure: the price being offered by the market and the accumulated opportunity cost of passing up previous opportunities to sell.
Reserve Risk compares Bitcoin’s price with the HODL Bank
The numerator of Reserve Risk is straightforward: Bitcoin’s current price. The denominator, the HODL Bank, is the framework’s measure of accumulated holder conviction. The indicator is therefore not a direct price target, nor is it simply another momentum reading.
Glassnode defines Reserve Risk as current price divided by the cumulative HODL Bank and characterizes it as a measure of the incentive to sell relative to long-term-holder conviction and the opportunity cost of not selling. That construction makes it a market-cycle tool, intended to put price into the context of holder behavior rather than assess price in isolation.
A rising Bitcoin price can increase the economic appeal of selling. Yet if coins that have been held for long periods remain largely dormant, the conviction side of the equation may remain substantial. Conversely, when selling pressure from older supply becomes more evident alongside elevated prices, the relationship can look less favorable on historical terms.
The word “risk” can be misleading if read as a forecast. Reserve Risk does not state that Bitcoin must fall at a high reading or rise at a low reading. It describes a historically observed relationship between price and the accumulated willingness of holders to defer selling.
Coin-days turn dormant supply into a conviction measure
Coin-days accumulate while a coin remains unspent and dormant. When the coin is spent, that accumulated lifespan is destroyed, forming the basis of Coin Days Destroyed data. Because older dormant supply has accumulated more coin-days, spending it carries more weight in this framework than spending a recently moved coin.
The original Reserve Risk framework treats deferred spending, reflected in continued coin dormancy, as an observable expression of market confidence. Although holders cannot be observed deciding against every possible sale, dormancy creates an on-chain record of that restraint; when older coins are spent, the destroyed coin-days can reduce the HODL Bank. The measure captures aggregate, age-weighted supply behavior from blockchain activity rather than an individual holder's motive, whether coins were sold, or what the holder expects next.
How VOCDD and the HODL Bank produce the ratio
Reserve Risk’s calculation can be understood as a sequence built from Coin Days Destroyed rather than as a simple count of dormant coins.
Measure Coin Days Destroyed. The process starts with data on the accumulated coin lifespan that is destroyed when coins are spent.
Calculate Value of Coin Days Destroyed. Glassnode derives Value of Coin Days Destroyed, commonly abbreviated as VOCDD, from that data.
Use the median VOCDD. Glassnode uses the median of VOCDD as an estimate of actual spending.
Build the HODL Bank. The difference between Bitcoin’s price and median VOCDD is accumulated into the HODL Bank.
Divide price by the HODL Bank. Current Bitcoin price divided by the resulting cumulative HODL Bank is Reserve Risk.
The key point is that the HODL Bank is not a wallet balance or a reserve of bitcoins held in one place. It is a constructed cumulative measure derived from the relationship between price and median VOCDD. Calling it a “bank” is a shorthand for the stored opportunity cost attributed to holders continuing to defer spending.
Consider a simplified sequence. Bitcoin’s price may rise sharply, raising the apparent reward for selling. If activity involving older coins remains restrained, the holder-conviction component can remain strong, leaving Reserve Risk subdued relative to what price alone might suggest. If price is high while long-dormant supply is increasingly spent, the balance captured by the ratio can move in the other direction.
That is why the metric requires its underlying components. A reader looking only at the Reserve Risk line sees the final relationship, while Coin Days Destroyed, VOCDD and the HODL Bank explain the behavior the ratio is meant to summarize.
Low and high Reserve Risk describe different combinations
Low Reserve Risk has historically appeared when Bitcoin’s price is relatively low and HODLer conviction is high. Glassnode describes those conditions as producing a more attractive historical risk/reward profile.
High Reserve Risk, by contrast, occurs when price is high and long-term-holder conviction is weakening. Historically, Glassnode associates that combination with market overvaluation. The interpretation is comparative: it concerns the balance between price and the opportunity cost accumulated by holders who have not sold.
Neither label should be reduced to “low means buy” or “high means sell.” A low reading is not proof that a market low has been reached, and a high reading does not establish the date or scale of a potential reversal. The historical associations are the reason the indicator is monitored, but they are not a mechanical prediction rule.
Reserve Risk is also inherently cyclical. It is more suited to considering broad market conditions and long-term-holder behavior than to evaluating short-term price fluctuations. Readers using it as a daily timing device would be asking it to answer a different question from the one it was built to address.
The 0.0026 and 0.0200 zones are reference points, not triggers
Glassnode presents readings below 0.0026 as an empirical historical undervaluation area and readings above 0.0200 as an empirical historical overvaluation area. These figures offer a common reference for placing a reading within prior Bitcoin cycles.
Reserve Risk zoneHistorical framing from GlassnodeBelow 0.0026Empirical undervaluation areaAbove 0.0200Empirical overvaluation area
The zones are historical heuristics, not guarantees or standalone trading signals. An indicator can enter or remain in a zone without producing an immediate price outcome, and past cycle behavior does not ensure that later cycles will follow the same path.
They should also not be confused with fixed boundaries between objectively cheap and expensive Bitcoin. The labels describe how the price-conviction relationship has looked in historical data under this methodology. They do not replace an assessment of broader market conditions or other on-chain measures.
A more disciplined use is to treat the zones as prompts for further investigation. A historically elevated reading may lead an observer to examine long-term-holder spending more closely. A depressed reading may invite examination of whether dormant supply and holder conviction remain unusually strong. In both cases, the ratio is a starting point for context, not the final verdict.
Why a six-figure Bitcoin price can still coincide with subdued Reserve Risk
High Bitcoin prices can coexist with subdued Reserve Risk because the metric depends on the HODL Bank as well as price. If older holders have not been aggressively distributing, the HODL Bank can remain large even at a high nominal price. Fidelity Digital Assets illustrated this in its Q3 2025 Signals Report, where Bitcoin traded as high as $124,000 and Fidelity interpreted subdued Reserve Risk as evidence that long-term holders were not aggressively distributing.
That makes Reserve Risk more than a price-only valuation gauge: periods with similar Bitcoin prices can have different readings when aged-supply behavior differs. Price captures what the market is paying at a point in time; the HODL Bank captures the accumulated cost of holders continuing to pass up opportunities to sell. Fidelity’s report uses Reserve Risk alongside other indicators, not as a standalone measure of market direction.
Frequently Asked Questions
What does Bitcoin Reserve Risk measure?
It measures current Bitcoin price relative to the cumulative HODL Bank. The ratio is intended to compare the incentive to sell with the conviction and opportunity cost associated with long-term holders not selling.
What is the HODL Bank?
The HODL Bank is a cumulative measure in the Reserve Risk methodology, not a pool of coins or a specific wallet. It is built by accumulating the difference between price and median VOCDD.
Why do older coins matter to Reserve Risk?
Older dormant coins have accumulated more coin-days. When they are spent, more accumulated lifespan is destroyed, allowing the framework to place greater emphasis on activity involving long-held supply.
What do Reserve Risk readings below 0.0026 and above 0.0200 mean?
Glassnode identifies below 0.0026 as a historical empirical undervaluation area and above 0.0200 as a historical empirical overvaluation area. They are reference zones based on history, not guaranteed turning points.
Can Bitcoin be expensive while Reserve Risk remains low?
Yes. Bitcoin can trade at a high price while Reserve Risk remains subdued if long-term holders are not aggressively distributing and the HODL Bank remains strong, as Fidelity Digital Assets’ Q3 2025 example illustrates.
Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

Bitmine owns 4.9% of the total ETH coin supply of 120.7 million
Bitmine is 98% of the way to the 'Alchemy of 5%' in just 15 months
ETH is the best performing macro asset in 3Q26 so far, outperforming the S&P 500 by 5,430bp
Bitmine was added to the Russell 1000 Large-cap index on June 26, 2026
Bitmine's Series A Preferred Stock is trading on the NYSE under the symbol BMNP
Bitmine has 5,067,309 staked ETH, representing $12.7 billion at $2,511 per ETH. MAVAN (Made in America VAlidator Network) is a premier Ethereum staking destination for BMNR and institutional investors
Bitmine owns $81 million of Eightco (NASDAQ: ORBS), now one of the only publicly listed equities in the world to provide investors indirect exposure to OpenAI
Bitmine Crypto + Total Cash Holdings & Marketable Securities + "Moonshots" total $15.6 billion, including 5.90 million ETH tokens, total cash & marketable securities of $541 million, and other crypto holdings
Bitmine remains supported by a premier group of institutional investors including ARK's Cathie Wood, MOZAYYX, Founders Fund, Bill Miller III, Pantera, Kraken, DCG, Galaxy Digital and personal investor Thomas "Tom" Lee to support Bitmine's goal of acquiring 5% of ETH
NORWALK, Conn., Aug. 31, 2026 /PRNewswire/ -- (NYSE: BMNR) Bitmine Immersion Technologies, Inc. ("Bitmine" or the "Company") a Bitcoin and Ethereum Network company with a focus on the accumulation of crypto for long term investment, today announced Bitmine crypto + total cash & marketable securities + "moonshots" holdings totaling $15.6 billion.
As of August 30, 2026 at 3:00pm ET, the Company's crypto holdings are comprised of 5,901,112 ETH at $2,511 per ETH (per Coinbase NASDAQ: COIN), 211 Bitcoin (BTC), $180 million stake in Beast Industries, $81 million stake in Eightco Holdings (NASDAQ: ORBS) ("moonshots") and total cash & marketable securities of $541 million. Bitmine's ETH holdings are 4.9% of the ETH supply (of 120.7 million ETH).
"As we enter the final month of 3Q26, ETH is the best performing macro asset, outperforming the S&P 500 by 5,430bp through last Friday. In fact, the top 3 performing assets since June 30th are ETH, BTC and SOL," stated Thomas "Tom" Lee, Chairman of Bitmine. "We believe this sets the stage for institutions to add to their crypto holdings given the substantial outperformance of crypto versus other macro assets in 3Q so far."
"We believe there are multiple positive catalysts as we head into the final months of 2026," stated Lee. "These include the upcoming CLARITY Act vote scheduled in mid-Sept. Additionally, Korean investors have again started buying crypto and rotating away from AI stocks. The 4-year cycle is bottoming within the next few weeks in our view. And this sets the stage for what we expect to be sizable institutional participation in buying crypto in the final months of 2026, especially given the tailwinds of tokenization and Agentic-AI."
"This ETH/BTC ratio has moved up during crypto bull cycles, driven by increasing use of Ethereum relative to bitcoin. These prior cycles were fueled by ICOs (2017-2018), NFTs (2020-2021), and stablecoins (2025). In this upcoming crypto cycle, we see the ETH/BTC ratio rising, driven by Wall Street tokenizing on the blockchain and by agentic-AI using blockchains," continued Lee.
"Over the past week, we acquired 53,501 ETH. Bitmine has bought ETH for each of the past 65 weeks (every week since the inception of the ETH Treasury Strategy on June 30, 2025)," stated Lee.
On July 16, 2026, Bitmine released the latest Chairman's Message (link here) for July 2026. The title of the Message is "ETH is the cure for the Uncanny Valley of Wealth."
Earlier in 2026, Bitmine launched MAVAN (the Made in America VAlidator Network), the institutional-grade staking platform. While MAVAN was originally developed to support Bitmine's own Ethereum treasury, MAVAN intends to expand to serve institutional investors, custodians, and ecosystem partners seeking best-in-class staking infrastructure. A portion of Bitmine's ETH is already staked on the MAVAN platform.
As of August 30, 2026, Bitmine total staked ETH stands at 5,067,309 ($12.7 billion at $2,511 per ETH). "Bitmine has staked more ETH than other entities in the world. At scale (when Bitmine's ETH is fully staked by MAVAN and its staking partners), the projected ETH staking reward is $390 million on an annualized basis (using 2.63% 7-day BMNR yield)," stated Lee.
"Annualized staking revenues are now projected at $335 million. And this 5.1 million ETH is 86% of the 5.90 million ETH held by Bitmine. Bitmine's own staking operations generated a 7-day yield of 2.63% (annualized)," continued Lee.
Bitmine is one of the most widely traded stocks in the US. According to data from Fundstrat, the stock has traded average daily dollar volume of $1.36 billion (5-day average, as of August 29, 2026), ranking #62 in the US, behind Texas Instruments (rank #61) and ahead of UnitedHealth Group (rank #63) among 5,704 US-listed stocks (statista.com and Fundstrat research).
Bitmine's crypto holdings reign as the #1 Ethereum treasury and #2 global treasury, behind Strategy Inc. (NASDAQ: MSTR), which reportedly owns 840,447 BTC valued at approximately $66 billion. Bitmine remains the largest ETH treasury in the world.
Bitmine management believes the GENIUS Act and the Securities and Exchange Commission's (SEC) Project Crypto are as transformational to financial services in 2026 as the US action on August 15, 1971, which ended the Bretton Woods system and took the U.S. dollar off the gold standard 55 years ago. This 1971 event was the catalyst for the modernization of Wall Street, creating the iconic Wall Street titans and financial and payment rails of today. These proved to be better investments than gold.
The Chairman's message can be found here:
https://www.Bitminetech.io/chairmans-message
The Fiscal Full Year 2025 Earnings presentation and corporate presentation can be found here: https://Bitminetech.io/investor-relations/
To stay informed, please sign up at: https://Bitminetech.io/contact-us/
About Bitmine
Bitmine Immersion Technologies, Inc. (NYSE: BMNR), together with its subsidiaries ("Bitmine" or the "Company"), is a blockchain technology infrastructure company operating across institutional digital asset staking and validation services, bitcoin mining, and strategic digital asset management. As the world's leading Ethereum Treasury company, it implements an innovative digital asset strategy for institutional investors and public market participants. The Company provides institutional-grade staking and validation infrastructure—through which it earns staking rewards and validation income—alongside bitcoin mining activities. Bitmine holds digital assets strategically, generating yield on those holdings to support liquidity and capital formation. Since 2025, the Company has expanded its blockchain infrastructure capabilities, including developing and deploying MAVAN, its institutional staking and validation platform. The Company's activities further include investments in early-stage blockchain opportunities ("moonshot" investments) and ancillary mining, hosting, and consulting services.
For additional details, follow on X:
https://x.com/bitmnr
https://x.com/fundstrat
Forward Looking Statements
This press release contains statements that constitute "forward-looking statements" within the meaning of the Private Securities Litigation Reform Act of 1995, as amended. Forward-looking statements include all statements that are not purely historical and can generally be identified by terms such as "expects," "projects," "intends," "plans," "believes," "anticipates," "estimates," "forecasts," "targets," "goals," "may," "will," "would," "could," "should," "view," "see," or similar expressions, or the negative of such terms, or other comparable terminology. This press release specifically contains forward-looking statements regarding, among other things: (i) the Company's goal of acquiring 5% of the total ETH supply (the "Alchemy of 5%" initiative) and statements regarding its progress toward this goal; (ii) the Company's digital asset accumulation and treasury strategy, including statements regarding continued weekly ETH acquisitions and the Company's status as the largest ETH treasury in the world; (iii) the Company's staking operations, including projected annualized ETH staking rewards of approximately $396 million at scale (assuming Bitmine's ETH is fully staked by MAVAN and its staking partners), currently projected annualized staking revenues of approximately $340 million, and the 7-day yield of 2.67% (annualized); (iv) MAVAN's intended expansion to serve institutional investors, custodians, and ecosystem partners seeking best-in-class staking infrastructure, and its intended position as a premier Ethereum staking destination for BMNR and institutional investors; (v) expectations regarding future ETH and other digital asset price performance, including statements regarding ETH's performance relative to the S&P 500 and other macro assets in 3Q26 and the expectation that institutions will add to their crypto holdings; (vi) management's belief that multiple positive catalysts exist heading into the final months of 2026, including the CLARITY Act vote scheduled for mid-September 2026, renewed buying by Korean investors and rotation away from AI stocks, the view that the four-year crypto cycle is bottoming within the next few weeks, and the expectation of sizable institutional participation in buying crypto in the final months of 2026, including the anticipated tailwinds of tokenization and agentic-AI; (vii) statements and expectations regarding the ETH/BTC ratio, including that the ratio will rise in the upcoming crypto cycle driven by Wall Street tokenizing on the blockchain and by agentic-AI using blockchains; (viii) management's belief that the GENIUS Act and SEC Project Crypto are "as transformational to financial services" as the end of the Bretton Woods system in 1971, and that the resulting investments will prove better than gold; (ix) statements regarding the Company's investment in Eightco Holdings (NASDAQ: ORBS) as providing indirect exposure to OpenAI, and its investment in Beast Industries; (x) statements regarding the value of the Company's crypto, cash, marketable securities, and "moonshot" holdings, including aggregate holdings of $15.6 billion and ETH holdings representing 4.9% of the total ETH supply; and (xi) the future growth, advancement, and strategic direction of the Company's Ethereum treasury strategy, blockchain infrastructure capabilities, bitcoin mining operations, and MAVAN staking platform.
These forward-looking statements involve substantial risks and uncertainties that could cause actual results to differ materially from those expressed or implied. Factors that could cause or contribute to such differences include, but are not limited to: the extreme volatility and unpredictability of digital asset prices, including ETH and Bitcoin, and the speculative nature of digital asset investments; the risk that historical ETH price movements and relative performance versus other macro assets will not recur or are not indicative of future performance; the Company's reliance on third-party pricing sources and reported market values in calculating the value of its crypto, cash, marketable securities, and "moonshot" holdings, and the risk that such values fluctuate materially after the date and time referenced in this release; changes in market conditions affecting the trading price and trading volume of the Company's common stock and Series A Preferred Stock, and the risk that the Company's inclusion in the Russell 1000 index does not produce anticipated benefits; the Company's ability to successfully execute its digital asset acquisition strategy and achieve its ETH accumulation targets, including the "Alchemy of 5%" goal; the Company's ability to finance its business operations, Ethereum treasury operations, and MAVAN expansion; operational, security, and technological risks associated with the Company's staking and validation operations, including network failures, slashing events, cybersecurity breaches, and protocol changes; the risk that actual staking participation, yields, rewards, and revenues differ materially from the projected amounts described in this release, which are based on a 7-day yield and assume ETH is fully staked at scale; competition in the digital asset treasury, staking, and mining industries; the Company's dependence on key personnel, including executive leadership; regulatory developments affecting digital assets, blockchain technology, and staking activities in the United States and globally, including the timing and outcome of the scheduled CLARITY Act vote and the ultimate enactment, implementation, and interpretation of the GENIUS Act and other pending legislation and regulatory initiatives; actions by the SEC, CFTC, and other regulatory bodies affecting digital assets and related businesses; risks related to the Company's investments in early-stage blockchain opportunities ("moonshot" investments), including the investments in Eightco Holdings and Beast Industries and any indirect exposure to OpenAI; macroeconomic factors, including inflation, interest rates, Federal Reserve monetary policy, labor market conditions, investor flows in international markets, and general economic conditions affecting investor sentiment toward digital assets; the accuracy of management's expectations regarding the ETH/BTC ratio and the impact of tokenization and agentic-AI applications on Ethereum; the unpredictability of cryptocurrency market cycles and the accuracy of expectations regarding future crypto cycles, including whether the four-year cycle bottoms as anticipated and whether institutional participation materializes; changes to the Ethereum protocol, including staking mechanics, validator requirements, and reward structures; risks related to AI systems and their potential impact on cryptocurrency markets and blockchain technology; the performance of third-party service providers, exchanges, custodians, and staking partners; risks related to the concentration of the Company's assets in digital currencies, particularly Ethereum; and the other risk factors described in the Company's filings with the SEC.
The forward-looking statements contained in this press release are based on information available to management as of the date of this release and reflect management's current expectations, estimates, forecasts, projections, views, and beliefs concerning future events and circumstances. Actual results may vary materially from those expressed or implied by forward-looking statements based on a number of factors, including those described above and in the Risk Factors section of the Company's Annual Report on Form 10-K for the fiscal year ended September 30, 2025 filed with the SEC on November 21, 2025, the Company's Quarterly Reports on Form 10-Q, and the Company's other filings with the SEC, as amended or updated from time to time. Copies of these filings are available on the SEC's website at www.sec.gov and on the Company's website at https://Bitminetech.io/investor-relations/. The Company cautions readers not to place undue reliance on any forward-looking statements, which speak only as of the date on which they are made. Bitmine expressly disclaims any obligation or undertaking to update, revise, or supplement any forward-looking statements to reflect any change in its expectations or any change in events, conditions, or circumstances on which any such statements are based, except as required by applicable law or regulation.
Disclaimer: This is a sponsored press release and is for informational purposes only. It does not reflect the views of Bitzo, nor is it intended to be used as legal, tax, investment, or financial advice.

The Treasury term premium is the extra compensation investors require to hold a longer-term Treasury rather than continually rolling over shorter-term Treasury securities. It compensates primarily for uncertainty over future interest rates, inflation and volatility, as well as the risk that a rise in yields will produce capital losses on a bond held today.
That distinction matters because a higher long-term Treasury yield does not automatically mean markets expect the Federal Reserve to set short-term rates higher for longer. A long yield has an expected-short-rate component and a term-premium component. Either can rise, and the market implications are not identical.
Treasury term premium: the extra return for holding duration
Buying a long-dated Treasury commits an investor to a fixed stream of payments over a longer period. An alternative is to buy a short-term Treasury, let it mature, and reinvest the proceeds in another short-term security. The latter approach allows the investor to reset the interest rate earned more frequently.
The term premium is the added return required to choose the long-term commitment over that sequence of short-term investments. In market language, it is compensation for bearing duration risk: the sensitivity of a bond’s price to changes in interest rates.
When yields rise, the market value of an existing fixed-rate bond falls. The investor who owns a longer-maturity security can therefore face a larger price move before maturity than an investor who owns a short-dated bill. Uncertainty about inflation and the future path of rates makes that exposure harder to assess. The Federal Reserve Board describes the term premium as compensation for these risks, including the possibility of capital losses.
It is not a coupon paid separately by the Treasury, nor is it a fee that appears on a brokerage statement. It is an analytical component embedded in the yield investors demand in the market. Its value can be positive, low or, in model estimates, negative; the key question is whether investors require more or less compensation for holding duration than the model’s benchmark for expected short rates.
How a Treasury yield splits into expected short rates and term premium
A useful simplified expression is:
Long-term Treasury yield = expected average future short-term rates + term premium.
The first component captures what investors expect short-term interest rates to average over the life of the longer-term bond. Those expectations are closely connected to the anticipated path of monetary policy, though they also reflect the broader economic outlook. The second component reflects the compensation investors demand for committing to the longer maturity and absorbing its risks.
Consider a stylized 10-year yield of 4%. If expected average short-term rates account for 3% and the term premium accounts for 1%, the two pieces add to the 4% yield. If expectations for short rates do not change but the term premium rises by 0.5 percentage point, the 10-year yield would rise to 4.5% in this illustration.
Investors may be asking for greater compensation to own the longer-term bond, even without a new expectation of a Federal Reserve rate increase. These components are not directly observed in a market quote; the Federal Reserve and the New York Fed estimate them using no-arbitrage term-structure models.
What makes investors demand a higher term premium
The premium can increase when investors see more interest-rate risk in owning long-term Treasuries. A less certain inflation outlook can matter because inflation influences both the purchasing power of a bond’s fixed payments and the likely path of nominal interest rates. Greater volatility can similarly raise the cost of bearing duration risk.
Disagreement about the economic or policy outlook is another potential driver. If market participants have more divergent views of where rates, inflation or growth may go, the compensation required by investors willing to hold duration can increase. These influences need not move together, and no single change in the term premium proves which one was decisive.
Treasury duration supply can also play a role. The New York Fed has noted that term premiums tend to rise when investors require more compensation for interest-rate risk, uncertainty or disagreement, or when the supply of Treasury duration increases. This is a market-pricing mechanism: more duration must be absorbed by investors, who may demand a higher yield to do so.
Demand conditions matter as well. The premium is shaped by the balance between those seeking the relative safety and liquidity of Treasuries and those prepared to take the risk of holding them for longer periods. It should not be treated as a single, clean reading of inflation expectations, fiscal developments or Federal Reserve intentions.
Why a term-premium increase can tighten financial conditions without a Fed-policy shift
Long-term Treasury yields are a foundation for pricing across financial markets. When those yields rise, borrowing and valuation benchmarks tied to longer maturities can move higher even if expectations for the near-term policy rate have not changed. That is why an increase in the term premium can tighten financial conditions on its own.
A rise in expected future short-term rates conveys a different signal. It more directly reflects an anticipated change in monetary policy over time. A term-premium shock, by contrast, can lift long yields because the market requires more compensation for uncertainty and risk-bearing costs.
The distinction is important for interpreting a selloff in long-dated Treasuries. The same increase in a 10-year yield can arise from different combinations of expected short rates and term premium. Looking only at the headline yield cannot establish whether investors have repriced the expected policy path, repriced duration risk, or done both.
Neither component operates in isolation in actual markets. Changes in the outlook for policy, inflation and the economy can alter uncertainty and risk appetite at the same time. Decomposition is therefore a framework for understanding a yield move, not a mechanical diagnosis of its cause.
How higher term premiums pressure existing bonds and stock valuations
The most direct effect is on outstanding bonds. Bond prices generally move inversely to yields: when newly available Treasuries offer higher yields, the prices of existing bonds with lower fixed coupons must fall to remain competitive. Longer-duration securities generally experience larger price changes for a given yield move.
For an investor planning to hold an individual Treasury until maturity, interim price losses do not change the stated principal repayment at maturity, assuming the issuer pays as promised. But market value still matters to investors who may sell before maturity, rebalance portfolios, meet collateral needs or report mark-to-market results.
Higher long-term Treasury yields can also weigh on equities. Equity valuation depends in part on discounting expected future corporate cash flows. A higher discount rate reduces the present value assigned to cash flows expected further in the future, all else equal. The effect can be especially relevant for shares whose valuations depend more heavily on profits expected in distant years.
There is a second channel. Higher yields on relatively safer fixed-income securities can make those assets more attractive compared with stocks. That does not mean stocks must fall whenever the term premium rises: earnings expectations, risk appetite and many other factors also influence equity prices. It explains why a term-premium-driven rise in long yields can nonetheless create pressure across both bond and equity markets.
Official Federal Reserve chart showing the estimated term premium on 10-year nominal Treasury securities. — Source: Federal Reserve Board, Figure 1-2: Term Premium on 10-Year Nominal Treasury Securities
Measuring an unobservable term premium
Unlike a Treasury’s quoted yield, the term premium cannot be read directly from a trading screen. It must be inferred using a model that separates observed yields into expected future short rates and an estimated premium for maturity risk. Results therefore depend on the model’s assumptions and methodology.
The Federal Reserve Bank of New York publishes the Adrian-Crump-Moench, or ACM, model estimates of Treasury term premiums. Its dataset includes daily and monthly estimates for maturities from one to 10 years, as well as fitted yields and expected average short-term rates.
These estimates are valuable because they give analysts a consistent way to examine the components of Treasury yields over time. They are not a definitive measurement of investor beliefs or a direct record of the precise premium demanded by every buyer and seller. Different models can produce different estimates, particularly when market conditions are changing quickly.
For practical use, the term premium is best read alongside the total Treasury yield and the expected-short-rate component. A rising yield accompanied by a stable expected-rate estimate points toward a larger role for the premium; a rise in both components suggests a more mixed repricing. The decomposition can clarify the question, but it cannot eliminate judgment about the forces behind a market move.
Frequently Asked Questions
Is the term premium the same as an expected Fed rate hike?
No. Expected future short-term rates more directly capture anticipated monetary policy, while the term premium reflects compensation for holding longer-duration bonds amid uncertainty and risk.
Why can a term premium be negative?
Because it is an estimate rather than a separately traded instrument. A negative estimate indicates that, under the model, investors accepted a long-term yield below the expected average path of short-term rates.
Does a higher term premium always mean inflation will rise?
No. Inflation uncertainty can affect the premium, but so can interest-rate risk, volatility, disagreement about the outlook, duration supply and demand for risk-bearing.
Why are long-dated bonds more exposed to a rise in the term premium?
Longer-duration bonds are generally more sensitive to changes in yields. When long-term yields rise, their existing fixed payments become less valuable relative to new bonds issued at higher yields.
Where can investors find Treasury term-premium estimates?
The Federal Reserve Bank of New York publishes ACM estimates, including daily and monthly series across one- to 10-year maturities.
Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

The Advance-Decline Line, often shortened to the A/D Line, is a cumulative market-breadth indicator. It adds the number of declining securities from the number of advancing securities for each period, then adds that net result to the line’s previous value. The result is a running measure of whether gains or losses are being shared across the selected market universe.
It is most useful beside a stock index. An index can rise even when relatively few constituents are advancing, particularly if its largest companies are doing much of the lifting. The A/D Line provides a different question: how many issues are participating? That makes it a tool for testing the character of a rally, rather than a replacement for price analysis.
How the A/D Line works
For any trading day, start with two counts: advancing issues and declining issues. Subtract declines from advances to find net advances. A positive result means more issues rose than fell; a negative result means more fell than rose.
The calculation is then carried forward rather than reset every day:
Current A/D Line = Prior A/D Line + (Advancing Issues − Declining Issues)
Suppose a line begins at 1,000. On the first day, 600 securities advance and 400 decline, producing net advances of 200 and a new line value of 1,200. The following day, 450 advance and 550 decline. Net advances are negative 100, so the line falls to 1,100. The level itself is less important than its direction, trend and relationship with the chosen index.
This cumulative design distinguishes the A/D Line from a one-day advance-decline reading. A single session can be noisy or driven by a short-lived event. By continually incorporating daily net advances, the line can show whether participation has generally been improving or deteriorating over a longer stretch. StockCharts ChartSchool describes the indicator as a cumulative total of each period’s net advances.
A rising line generally indicates that more securities are taking part in advances. A falling line points to broader weakness among the issues included in the calculation. Neither reading says, by itself, where an index must go next.
Why breadth and index price can diverge
The A/D Line and a major equity index do not give every stock equal influence. In a traditional A/D calculation, each advancing or declining issue generally contributes one count, regardless of its market capitalization or trading volume. As a result, a small company affects the daily breadth count as much as a much larger company.
Many widely followed indexes, by contrast, are capitalization-weighted. Their largest constituents carry the greatest influence over daily index movement. If a handful of very large companies rise sharply, they can lift such an index even while a greater number of smaller constituents decline.
A rising index and a weakening A/D Line can therefore coexist: the two measures capture different dimensions of the market. Index price reflects weighted price movement; breadth reflects the balance of winning and losing issues. Since the A/D Line is not capitalization-weighted, it can be useful for detecting whether participation extends beyond the market’s largest names.
A broad advance is not automatically stronger in every respect, and a concentrated advance is not automatically unsustainable. But the comparison can reveal concentration that an index level alone does not show.
Confirmation, divergence and lower highs
Analysts usually read the A/D Line by comparing its path with the path of an index drawn over the same period. When the index and the line both make higher highs or continue rising together, the move is often described as breadth confirmation. More stocks are participating in the advance, rather than price being supported by a narrower group.
The more closely watched contrast occurs when the index rises while the A/D Line falls or fails to keep pace. That is a negative breadth divergence. It suggests that participation is narrowing beneath the headline index gain and may leave the rally more vulnerable to reversal, though it does not establish that a reversal will occur.
Lower highs can add another layer. Imagine an index reaches a new peak, pulls back, and then rises to another new peak. If the A/D Line’s second rally fails to exceed its prior high, the breadth measure has formed a lower high while the index has strengthened. The gap does not identify a date for a market turn. It identifies a change in the internal participation behind the move.
Nasdaq offered a recent illustration in a June 2026 market review, reporting that the S&P 500’s A/D Line had made a lower high while the large-cap index continued to rise. The example shows how a breadth divergence can flag increasing concentration during an apparently strong rally; it should not be read as a market call. Nasdaq’s review framed the observation as a measure of the market’s internal condition.
The reverse pattern can also matter. An index may be weak or range-bound while the A/D Line improves, indicating that advancing issues are becoming more numerous. Such positive divergence can be worth monitoring, but it is still context rather than a mechanical buy or sell instruction.
The universe behind the line
An A/D Line is only as interpretable as the group of securities it counts. Before drawing conclusions, a reader should establish whether the data cover an exchange, an index’s constituents, common stocks only, or a broader set of listed issues. Lines with similar names may not measure the same market.
The distinction can be material. An SEC-filed fund document distinguishes an NYSE all-issues line from an NYSE common-stocks-only line. The all-issues version includes securities such as preferred stocks and closed-end funds, while the common-stocks-only version is focused on operating-company stocks.
Including non-operating-company securities can produce a reading different from one based solely on common stocks. Neither version is inherently incorrect. They answer slightly different questions because their participants differ. A comparison with an equity index is generally clearest when the breadth universe is relevant to the index or market segment under review.
This is also why historical comparisons require care. A change in the composition of the selected universe, or a comparison of differently constructed series, can alter what appears to be a change in breadth. The label attached to the line is not enough; the underlying inclusion rules matter.
S&P 500 advance/decline line chart, showing the cumulative breadth measure over time. — Source: Fidelity Viewpoints
Using breadth without overreading it
The practical role of the A/D Line is to add context to price action. An investor or analyst following a major index can observe whether the line is rising with the index, lagging it, or moving in the opposite direction. That comparison may help frame questions about how widely a trend is shared and whether leadership has become more concentrated.
It is not a timing device. Divergences can persist, and markets can continue rising despite weak breadth or falling despite improving breadth. Treating every divergence as a prediction of an immediate reversal confuses a condition of participation with a forecast of timing.
Academic discussion of the measure cautions against assuming that its usefulness as a leading indicator is established. The A/D Line is better used with price, volume and risk analysis than in isolation, according to a University of Edinburgh research paper examining market-breadth measures.
A disciplined approach therefore has three parts. First, identify the security universe. Second, compare the cumulative line with the relevant index over a meaningful period rather than reacting to one daily reading. Third, treat confirmation or divergence as evidence to investigate alongside other information, not as a substitute for risk management or an automatic trading signal.
Frequently Asked Questions
What is the Advance-Decline Line formula?
Add each period’s net advances to the previous line value. Net advances equal the number of advancing issues minus the number of declining issues.
Does a falling A/D Line guarantee a stock-market crash?
No. It indicates broader weakness in the selected universe, and a divergence with a rising index can warrant analysis, but it does not guarantee either a reversal or its timing.
Is the A/D Line capitalization-weighted?
Traditional versions are not. Each advancing or declining issue generally contributes one count, so the calculation does not give a larger company more weight because of its market value.
Which Advance-Decline Line should I use?
Use a series whose universe matches the market question being asked. Check whether it covers all issues, common stocks only, a particular exchange, or the constituents of a particular index.
How does the A/D Line differ from daily advance-decline data?
Daily data show that session’s balance of advancing and declining issues. The A/D Line accumulates those net readings over time, making its trend easier to compare with an index trend.
Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

Max pain in Bitcoin options is the strike price at which the total intrinsic value payable to option buyers would be lowest for a particular expiry, using the open interest in outstanding calls and puts. It is a calculation of possible expiry payouts, not a prediction that Bitcoin will necessarily trade or settle at that level.
To find it, an analyst tests candidate settlement prices against every open option at that expiry. The candidate that produces the smallest aggregate intrinsic-value payout is called the max-pain level. The result can change as traders open, close or roll positions, and the actual outcome depends on the settlement rules of the exchange where the contracts trade.
Max pain measures the lowest aggregate intrinsic-value payout
For each candidate settlement price, the calculation applies the intrinsic value of all outstanding calls and puts and selects the price with the smallest aggregate payout. That price is the max-pain level for the specified expiration. Deribit’s explanation defines it as the strike where aggregate intrinsic value owed to option buyers is minimized.
The measure is expiration-specific: daily, weekly, monthly and longer-dated BTC options can produce different readings because their listed strikes and open-interest distributions differ. Match a quoted level to its expiration rather than treating it as a general Bitcoin price target.
Max pain sums intrinsic value; it does not measure the price where the largest number of contracts expire worthless and is not, in the usual chart-based sense, a support or resistance level. Before expiry, option prices may include time value as well. The max-pain exercise concerns the intrinsic-value outcome at settlement, when that time value has disappeared.
Open interest, calls and puts determine the max-pain level
Open interest is the key input to max-pain calculations: it counts contracts that remain open, whereas trading volume counts contracts traded during a period whether or not those positions remain open. Heavy BTC options volume may signal market activity, but it does not determine max pain if the trades were closed or offset before expiry.
At each proposed settlement price, calls and puts contribute only their intrinsic value. For a call, that value is the greater of settlement price minus strike price or zero; for a put, it is the greater of strike price minus settlement price or zero, as shown in Deribit’s option payoff examples. Thus, a $100,000-strike call has $5,000 of intrinsic value at a $105,000 settlement price and none at $100,000 or below. A $100,000-strike put has $5,000 at $95,000 and none at or above $100,000.
The calculation multiplies each option’s intrinsic value by the open interest at its strike, then sums the call and put results for that proposed price. Running the calculation across candidate settlement prices produces a payout schedule; its lowest point is the max-pain level.
A simplified BTC options max-pain calculation
A small hypothetical options chain shows the method. Assume an expiry has three strikes—$90, $100 and $110—and use simplified one-unit contracts. The open interest is one call at $90, four calls at $100 and two calls at $110. On the put side, there are two puts at $90, three at $100 and one at $110.
Assumed settlement priceAggregate call intrinsic valueAggregate put intrinsic valueTotal intrinsic value$90050 units50 units$10010 units10 units20 units$11060 units060 units
At $90, the three $100 puts are worth 10 units each, and the $110 put is worth 20 units, for 50 units of put intrinsic value. At $100, the $90 call and the $110 put are each worth 10 units; every other contract in the example has zero intrinsic value. That produces a total of 20 units, the lowest of the three tested outcomes.
At $110, the $90 call is worth 20 units and the four $100 calls are worth 10 units each, taking aggregate call intrinsic value to 60 units. In this simplified chain, $100 is therefore max pain. It is not a claim that the underlying asset is likely to close at $100; it simply produces the smallest modeled aggregate intrinsic payout from the positions assumed.
Real BTC option chains contain many more strikes, open-interest quantities and contract specifications. The arithmetic is the same, but published max-pain figures should be read with awareness of the timestamp used for open-interest data. A calculation based on earlier positions can become stale before expiry.
How BTC options expiry turns a price into a payout
Expiry is the point at which an option’s remaining time value disappears. What remains is intrinsic value, if any. An in-the-money call has a settlement price above its strike; an in-the-money put has a settlement price below its strike. Out-of-the-money options have no intrinsic-value payout at expiry.
On Deribit, BTC options are European-style, meaning they may be exercised only at expiry. The exchange states in its settlement documentation that it automatically exercises in-the-money options, while out-of-the-money contracts expire without an intrinsic-value payout.
This distinction matters when interpreting max pain. The model arrives at a possible settlement-price outcome by combining all outstanding contracts. The exchange’s expiry process then applies its specified delivery price to each individual call and put, determines whether it is in the money, and settles it according to the contract rules.
A strike is not itself the final payout price. A $100,000 call settles according to the difference between the official delivery price and $100,000 if that difference is positive. Thus, even if a reported max-pain level coincides with a listed strike, the relevant question at expiry is the venue’s official settlement calculation—not merely whether a live spot chart briefly touched that number.
Deribit’s delivery price is a 30-minute BTC index average
For Deribit contracts that expire at 08:00 UTC, the official delivery price is not simply one Bitcoin quote recorded at 08:00. It is a 30-minute time-weighted average price of the relevant Deribit Index, covering 07:30 to 08:00 UTC. The methodology uses snapshots every four seconds.
That rule can make the result different from a single exchange’s last-traded spot price at the expiry timestamp. A move late in the window is part of the average, but it does not erase all earlier observations in the delivery period. For a Deribit option, this formal delivery price is the number used to establish intrinsic value and the resulting settlement outcome.
The practical lesson is to distinguish three figures that may be discussed together but are not interchangeable: a max-pain estimate based on open interest, a live BTC market price, and the exchange’s official delivery price. The first is an analytical output; the last determines the contract’s expiry value.
Official Deribit visual introducing a max-pain calculation tool; the associated article explains that the chart combines call and put open interest with total intrinsic value by strike and highlights the max-pain level. — Source: Deribit Insights
Using max pain without treating it as a forecast
Usually quoted as a strike in an expiry’s options chain, max pain is the modeled low point for aggregate intrinsic value across all open calls and puts. It is an analytical output based on open interest, not a standalone forecast of Bitcoin’s trading or settlement price. The live BTC price and the exchange’s official delivery price are separate figures; the latter determines the contract’s expiry value.
The theory behind the measure says prices tend to converge toward the strike that minimizes aggregate option-holder payouts. In their research, Filippou, Garcia-Ares and Zapatero find that the apparent predictability of max pain can instead be accounted for by effects such as price reversal and possible expiration-related trading activity. That evidence supports using max pain to describe an options chain, rather than treating it as a dependable directional signal.
There is no basis in the calculation for inferring traders’ intent. Open interest does not show why a holder or writer entered a position, what else that participant holds, or whether the risk is hedged elsewhere, so it cannot establish who would benefit from a particular settlement level.
Venue rules then determine how an expiry works. CME cryptocurrency options are European-style. CME says most are delivered into financially settled futures contracts, whereas Bitcoin Friday futures options are financially settled against a fixing price. The applicable CME contract and settlement framework, or the corresponding rules on another venue, should be checked before using the measure for an actual expiry.
Frequently Asked Questions
Is max pain the same as a Bitcoin options strike price?
It is usually expressed as one of the strikes considered in an expiry’s options chain, but it represents the modeled low point for aggregate intrinsic value. A strike is simply a contract term; max pain is the result of evaluating all open calls and puts together.
Why is open interest used instead of options volume?
Max pain concerns contracts still outstanding at expiration. Volume records trading activity over a period and can include positions that were subsequently closed, so it is not the appropriate measure of remaining expiry exposure.
Will Bitcoin always move to the max-pain level before expiry?
Max pain offers an open-interest-based reference point, not a guaranteed BTC price destination. Research also cautions that apparent predictive patterns may reflect other market effects.
What happens to a BTC option that expires out of the money?
It has no intrinsic value at expiry. Under Deribit’s stated process, in-the-money options are automatically exercised, while out-of-the-money options receive no intrinsic-value payout.
Does every Bitcoin options exchange use the same settlement price?
No. Deribit uses a defined delivery-price methodology based on a 30-minute index TWAP for contracts expiring at 08:00 UTC, while CME’s cryptocurrency options have different delivery arrangements. Always consult the specifications for the particular contract.
Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

A high-yield credit spread is the additional yield investors require to hold below-investment-grade corporate debt rather than a comparable U.S. Treasury. Because that premium reflects perceived default risk, liquidity conditions and other credit risks, a rising spread can show that investors are becoming more cautious about companies’ ability to service their debt—often before an actual missed payment or a broad equity sell-off occurs.
High-yield bonds are generally securities rated below investment grade, along with unrated debt considered to have comparable credit quality. Their issuers face a greater risk of being unable to pay interest or repay principal, making this corner of the corporate-bond market particularly sensitive to changing expectations about profits, financing and the economy. That sensitivity is why investors watch high-yield spreads as a gauge of stress, rather than as a standalone forecast. Federal Reserve Board; U.S. Securities and Exchange Commission filing
What a high-yield credit spread measures
Yield is the return demanded by investors on a bond. A credit spread isolates the premium over a comparable risk-free Treasury: if a corporate bond offers a higher yield than the Treasury, the difference is its spread. Investors require that extra compensation because corporate bonds can default, may be less liquid than Treasuries and carry other credit-related risks.
The comparison matters. Treasury yields can change because of shifts in interest-rate expectations or demand for safe assets, while a spread is intended to focus attention on the incremental compensation for taking corporate credit risk. A falling Treasury yield, for example, does not necessarily mean corporate credit has become safer. The spread may be stable, narrowing or widening at the same time.
In high yield, the risk premium is especially consequential. Lower-rated issuers often have less room to absorb weaker earnings or more difficult borrowing conditions than higher-rated companies. Investors therefore scrutinize the price and yield of their bonds for indications that the market is revising its view of repayment prospects.
Spreads are usually expressed in basis points, where 100 basis points equal one percentage point. The arithmetic is simple: a corporate bond yielding 8% when a comparable Treasury yields 4% has a 4-percentage-point, or 400-basis-point, spread. That example explains the measure, not what level is normal or what any given reading predicts.
Why spreads widen before defaults occur
A bond price does not need to wait for a default to fall. If investors begin to expect more defaults, weaker corporate profits, reduced market liquidity or a lower willingness to bear risk, they may demand a higher yield immediately. Since bond prices and yields generally move in opposite directions, that repricing lowers the market value of outstanding bonds and widens their spreads.
The sequence is forward-looking. A company can still be making every scheduled interest payment while investors reassess whether it will have sufficient earnings, access to funding or refinancing capacity later. Those concerns can spread beyond a single issuer when investors believe the pressures affect a sector or the economy more broadly.
That does not mean a widening spread proves that defaults are imminent. It means the compensation investors demand for uncertainty has increased. Federal Reserve research describes corporate credit spreads as incorporating expectations about future defaults and economic activity, and finds that they can help anticipate downturn risk. Federal Reserve Board research
Risk appetite is an important part of this distinction. A spread can rise both because investors see weaker fundamentals and because they are less willing to hold risky assets at the same price. In practice, markets are pricing both expected losses and the price of bearing uncertainty; neither element alone can be cleanly inferred from the headline spread.
Option-adjusted spread and the high-yield benchmark
Not every bond can be compared with a Treasury using a simple yield difference. Some bonds contain embedded options, including call or put features, that can affect their value. A call may allow an issuer to redeem debt early, while a put may give an investor the right to sell it back under specified terms.
Option-adjusted spread, or OAS, adjusts a bond’s spread for the value of those embedded options. It is therefore a more useful comparison tool for many portfolios and bond indexes than an unadjusted yield spread. OAS does not eliminate credit risk or turn an index reading into a forecast; it refines the measurement by accounting for contract features that can otherwise distort the apparent yield premium.
A widely watched gauge is the ICE BofA U.S. High Yield Index Option-Adjusted Spread, available through the Federal Reserve Bank of St. Louis’s FRED database. Index measures are useful because they show changes across a broad basket of high-yield debt rather than the idiosyncratic move of one company’s bonds.
Even a broad index has boundaries. It reflects the securities and methodology within that benchmark, not every form of corporate borrowing. Its clearest use is often as a common reference point: investors can track whether compensation for broad U.S. high-yield credit risk is becoming more or less demanding over time.
Using spreads as an early stress signal
Credit investors use the direction and character of spread moves to assess whether market concern is building. Persistent widening across a broad high-yield index can indicate that investors are assigning greater weight to weaker earnings, tighter funding conditions, prospective defaults or diminished liquidity. Those are conditions that can become visible in company results and economic data only later.
This can make high-yield spreads informative ahead of stocks in some episodes. Equity holders participate in upside as well as downside, whereas creditors are principally focused on whether they will receive promised interest and principal. When repayment risk appears to be increasing, bond investors may reprice that risk sharply even while equity-market optimism remains intact.
The relationship is neither mechanical nor guaranteed. Equity prices and high-yield spreads respond to overlapping forces, but they are different markets with different claims, valuations and participants. A widening spread may accompany an equity decline, precede one, or remain largely a credit-market event. It should be read as evidence of changing probabilities and risk tolerance, not as a trigger that says stocks must fall next.
A practical approach is to ask three questions: Is the move broad or confined to a few issuers? Is it persisting rather than reversing quickly? And is there corroboration from other measures of credit conditions? Those questions shift attention from a single daily index change to the underlying source and breadth of the repricing.
When a spread spike is not a broad market warning
History offers reasons to take sharp increases seriously, but also reasons not to overread them. The Bank for International Settlements has noted episodes in which high-yield spread increases preceded broader economic downturns, including technology-sector stress before the 2000 bubble burst and financial-sector stress before the global financial crisis.
Those episodes do not establish a universal rule. Sector-specific shocks can push spreads wider without signalling a general recession. If the weakness is concentrated in one industry, the move may primarily reflect that sector’s cash-flow, balance-sheet or funding concerns rather than a deterioration in the entire corporate sector.
That is why breadth matters. An index can widen because its constituents are affected unevenly, and individual bond moves can be much more dramatic than the aggregate measure. Investors need to distinguish a market-wide reassessment of credit risk from stress that is concentrated in a vulnerable group of borrowers. Bank for International Settlements analysis
Another misconception is that high yield is synonymous with the economy. High-yield debt is an important risk-sensitive market, but it is not a complete map of household finances, bank lending, government borrowing or equity valuation. Its strongest contribution is a specific one: it captures the price investors place on bearing risk in a lower-rated segment of corporate credit.
Historical ICE BofA U.S. High Yield Index Option-Adjusted Spread, a market gauge of the additional yield demanded for below-investment-grade corporate debt. — Source: Federal Reserve Bank of St. Louis / ICE Data Indices
Compare high-yield spreads with other credit indicators
Compressed spreads mean investors are demanding relatively little additional compensation for credit risk; wider spreads mean they are demanding more. Neither condition is self-explanatory, so interpretation should consider changes in expected defaults, liquidity, corporate profits and risk appetite, as well as whether those changes are consistent across credit markets.
That comparison can include leveraged-loan spreads, private-credit conditions and broader signs of funding or liquidity pressure. Investors should also follow whether a move is sustained and how broadly it is occurring. Agreement across measures can be more informative than a headline reading in isolation.
A BIS assessment published in March 2026 found that U.S. and European high-yield spreads remained compressed relative to historical norms, while leveraged-loan spreads began rising and strains emerged in private credit. The example is not a general prediction from those conditions; it shows why a calm-looking high-yield index should not end the analysis when other credit-market signals are moving differently. BIS Quarterly Review
For readers monitoring market stress, the disciplined approach is to assess the trend and its breadth, compare related credit indicators, and distinguish broad repricing from a localized shock. High-yield spreads can signal rising concern about corporate credit without providing a precise timer for the next stock-market or economic turn.
Frequently Asked Questions
Do high-yield credit spreads predict stock-market declines?
They can signal rising concern about corporate credit before a broader equity decline, but they do not reliably dictate what stocks will do next. A spread move reflects changing assessments of credit risk and risk appetite, not a guaranteed equity-market outcome.
What does it mean when high-yield spreads widen?
Widening means investors are demanding more yield over comparable Treasuries to own lower-rated corporate bonds. It may reflect higher expected defaults, weaker profit expectations, liquidity concerns or lower willingness to bear risk.
Why do investors use option-adjusted spread instead of a simple yield spread?
OAS accounts for the value of embedded call and put options in bonds. Adjusting for those features makes comparisons across securities and index constituents more meaningful.
Are high-yield bonds the same as investment-grade bonds?
No. High-yield bonds are generally rated below investment grade, or are unrated securities viewed as having comparable credit quality. They carry greater risk that the issuer may not pay interest or repay principal.
Can a surge in high-yield spreads be limited to one sector?
Yes. Historical experience shows sector-specific shocks can widen high-yield spreads without pointing to a general recession. Looking at the breadth of the move and other credit indicators helps separate a localized problem from broader stress.
Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

The Crypto Fear & Greed Index is a daily sentiment gauge that turns Bitcoin-market behavior into a score from 0 to 100. On Alternative.me’s scale, 0 represents extreme fear and 100 represents extreme greed. It is designed to offer a compact view of whether market conditions appear driven more by caution or enthusiasm at a given point in time.
That simplicity can be useful, but it also creates a common misunderstanding: a single number is not a universal measure of every crypto asset, nor is it an instruction to buy or sell. Alternative.me’s version is primarily focused on Bitcoin-market sentiment, using a mix of observable market and attention-related inputs rather than a direct poll of all crypto investors.
The daily 0–100 score measures Bitcoin-market sentiment
The index places sentiment on a continuum. Readings toward the low end indicate a market environment associated with extreme fear; readings toward the high end indicate extreme greed. The middle of the range is simply less extreme. It should not be treated as a declaration that the market is fundamentally cheap, expensive, safe or unsafe.
Alternative.me publishes the index as a daily reading, along with a plain-language classification. The score’s main value is compression: it brings several measures that may otherwise point in different directions into one easily tracked sentiment reference point. The provider describes the methodology and Bitcoin focus on its Crypto Fear & Greed Index page.
Bitcoin matters here because it is the market around which this particular index is built. A trader looking at a smaller token should therefore resist assuming the reading precisely captures conditions in that token’s market. An asset can have project-specific liquidity, custody, supply, technical or regulatory considerations that a Bitcoin-centered sentiment gauge does not describe.
The index is best understood as a measure of market temperature. It can show that behavior has become unusually defensive or unusually exuberant; it cannot explain every reason why participants are behaving that way.
How volatility, volume, dominance and search behavior become one reading
Alternative.me combines several inputs into its score: Bitcoin volatility, market momentum and volume, social-media activity, Bitcoin dominance, Google Trends data and survey data. These categories are intended to capture both market action and signs of public attention or participation.
The two largest published components are volatility and market momentum/volume, each assigned a 25% weight in the methodology. That makes the index substantially responsive to how the Bitcoin market is moving and trading, rather than being solely a count of online discussion or search interest.
Volatility addresses how sharply Bitcoin-market conditions are moving relative to the index’s historical reference points.
Momentum and volume bring trading activity and market direction into the composite reading.
Social-media activity and Google Trends provide indicators of public attention and discussion.
Bitcoin dominance adds information about Bitcoin’s position relative to the wider crypto market.
Survey data is also listed in the provider’s methodology.
These inputs should not be read as independent votes that all need to point the same way. They are ingredients in a composite. A jump in searches, for example, does not by itself establish greed or fear; its contribution sits alongside volatility, trading behavior and the other inputs.
Nor does the published component list reveal the full experience of every market participant. It does not turn a score into a balance-sheet analysis, a review of a protocol’s security, or a measure of an investor’s financial circumstances. The published methodology is more narrowly about synthesizing specified indicators of market behavior and attention.
Why the score compares today with 30- and 90-day market behavior
A daily price move does not provide a complete account of sentiment. The index compares current market behavior with historical reference periods that include 30-day and 90-day averages, according to Alternative.me. That comparison provides context for whether current volatility, momentum or other behavior is unusually strong relative to more recent conditions.
Consider two hypothetical Bitcoin declines of the same size. If one occurs after a quiet period with comparatively subdued movement, it may look very different in the index’s historical framework from an equal decline during an already turbulent stretch. The point is not that either scenario predicts the next move. It is that the score is designed to assess present conditions against a recent baseline, rather than react to one price change in isolation.
This is also why a reader should avoid treating the index as a price chart with a different label. Price is one expression of market activity. The index incorporates price-related behavior through inputs such as volatility and momentum/volume, but it also draws on dominance and attention-related measures.
Historical comparison can make a reading more interpretable over time. A score seen in isolation tells a reader where the gauge stands that day; a sequence of past readings may better show whether sentiment has been persistently cautious, rapidly shifting or remaining elevated. It still does not establish a causal explanation for those changes.
How to read extreme fear and extreme greed without treating them as signals
Extreme readings are where the index attracts the most attention. Alternative.me frames extreme fear as a possible sign that investors are excessively worried, while extreme greed can be a possible warning that the market is due for a correction. Those are behavioral interpretations, not promises of a reversal.
A practical way to use a reading is to put it in sequence:
Check the day’s numeric value and classification.
Compare it with recent readings to see whether sentiment is changing or merely remaining at an extreme.
Review the relevant market conditions and asset-specific facts separately.
Use the sentiment reading as context, not as the final decision rule.
For example, an extreme-fear reading may flag a period in which worry is unusually pronounced. A contrarian reader may regard that as a reason to look more closely at whether selling has become indiscriminate. It is not proof that the selling has ended, that an asset offers value, or that losses cannot continue. The same discipline applies to extreme greed: it may warrant more scrutiny of exuberant conditions, but it does not dictate that prices must immediately fall.
The wider fear-and-greed concept rests on the view that emotion can move market prices away from fundamentals: excessive fear may depress prices and excessive greed may inflate them. The difficult question is timing. Sentiment can remain fearful or greedy longer than a participant expects, and an index cannot settle that question on its own.
A crypto Fear & Greed reading is not CNN’s stock-market index
CNN’s traditional-market Fear & Greed Index uses seven stock-market indicators. Alternative.me’s Crypto Fear & Greed Index is a Bitcoin-focused composite, so the two readings describe different asset markets through different methodologies.
Both indexes use the language of fear and greed, but that shared vocabulary does not make them interchangeable. The crypto reading draws on its own inputs and historical reference behavior, whereas the stock-market reading concerns conditions relevant to equities.
Comparison is therefore conceptual rather than numerical. Each framework attempts to summarize how emotion and market behavior may interact, and the underlying data, assets measured and score construction set the limits on what its number can reasonably indicate. A matching pair of readings would not create one common signal; a mismatch would not by itself show that either reading was wrong. CNN outlines its methodology on its Fear & Greed Index page.
Official self-updating Crypto Fear & Greed Index gauge showing the current score and sentiment classification. — Source: Alternative.me
Where to check the index and what it leaves out of an investment decision
Alternative.me updates the Crypto Fear & Greed Index daily. It also makes historical readings and an API available; the API documentation lists a numeric value, a classification such as Fear or Greed, and a timestamp among the returned fields.
A current score can be examined against preceding readings. The history provides context rather than a reliable forecast, while the daily cadence leaves out some intraday changes in market mood.
Sentiment is only one part of a crypto-asset decision. Liquidity, custody arrangements, leverage, valuation and an individual’s risk tolerance can also be material. The U.S. Securities and Exchange Commission says crypto assets can be exceptionally volatile and speculative and that investors face a significant risk of loss; its Investor.gov alert is a reminder that the gauge cannot replace broader due diligence.
As Alternative.me’s methodology defines it, the index identifies the prevailing emotional backdrop in the Bitcoin market. That makes it a context indicator, not a standalone way to determine value, resolve uncertainty about future prices or tailor a decision to a particular investor.
Frequently Asked Questions
What score means fear or greed on the Crypto Fear & Greed Index?
Alternative.me uses a 0–100 scale, with 0 indicating extreme fear and 100 indicating extreme greed. The provider also supplies a classification alongside the numeric value.
Does the Crypto Fear & Greed Index cover every cryptocurrency?
No. Its reading can offer broad context for crypto conditions, but Alternative.me’s index is primarily focused on Bitcoin-market sentiment rather than serving as a tailored measure for every token or project.
Does extreme fear mean it is time to buy crypto?
Not by itself: while extreme fear can indicate unusually high worry and prompt further research, it neither guarantees a recovery nor rules out further losses.
How often does the index change?
The index is updated daily. A daily reading is therefore better viewed as a recurring market-context measure than an intraday trading tool.
Where can I find past Crypto Fear & Greed Index readings?
Alternative.me provides historical values on its index service and through its API. API responses include the score, sentiment classification and timestamp for returned observations.
Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

The MOVE Index is the ICE BofA U.S. Bond Market Option Volatility Estimate: a widely used measure of implied volatility in the U.S. fixed-income market. Rather than reporting where Treasury yields have moved, it reflects the options market’s pricing of uncertainty around future interest-rate changes over roughly the next month.
The standard index draws on over-the-counter options tied to U.S. Treasury securities at approximately the 2-year, 5-year, 10-year and 30-year points of the curve. That makes MOVE a gauge of expected rate volatility across several key Treasury maturities, not a Treasury yield index and not a direct forecast of whether yields will rise or fall.
What the MOVE Index measures across the Treasury curve
ICE identifies MOVE as an implied-volatility gauge for the U.S. bond market. In practical terms, a reading incorporates the price of options used to manage exposure to changes in Treasury rates. Options become more valuable when the market expects larger or less certain movements, all else equal, because they can provide protection against adverse outcomes.
Because the index looks one month ahead, it captures the market’s currently priced uncertainty over the coming month rather than volatility recorded over the previous month. Its underlying maturity points matter as well: interest-rate risk is not identical at the short, intermediate and long ends of the Treasury curve.
MOVE aggregates signals from approximately 2-, 5-, 10- and 30-year Treasury maturities. A single headline number is useful for monitoring broad rate uncertainty, but it necessarily compresses information from different parts of the curve. A user looking for a full explanation of a market move still needs to examine Treasury yields and curve shape directly.
The index is often described as the bond-market analogue of an options-implied volatility gauge. That description is helpful only up to a point: MOVE concerns Treasury and interest-rate uncertainty, while the assets, risks and market structure behind other volatility gauges may differ.
How Treasury options become a single MOVE reading
MOVE is built from normalized implied volatility in one-month over-the-counter Treasury options. The calculation combines option-implied volatility across the four Treasury contract maturities into one measure spanning the yield curve. The Bank for International Settlements describes the methodology as similar to that used for the VIX in the sense that normalized, options-implied volatility is aggregated into an index.
“Implied volatility” is inferred from option prices. It is not an observation of future volatility and is not the same thing as a simple count of basis-point changes in Treasury yields. An option price reflects what market participants are willing to pay or receive for the contingent protection or exposure represented by that contract.
This distinction also explains why MOVE can change even if cash Treasury yields have not yet made an unusually large move. If demand to hedge rate risk rises, option prices and the volatility embedded in those prices can rise. Conversely, a calmer options market can reduce implied volatility even though uncertainty has not disappeared.
ICE says the standard index uses approximately 2-, 5-, 10- and 30-year maturities and a one-month option horizon. Those specifications make the headline reading a broad cross-curve measure, rather than a measure of only the benchmark 10-year Treasury or only very short-term policy-rate expectations.
Implied volatility is not realized yield volatility
The most important limitation is also the central reason MOVE is useful: it is forward-looking. It captures the market’s pricing of uncertainty about future interest-rate changes, not the volatility Treasury yields have already realized. The price can be influenced by expected volatility and by the premium investors are prepared to pay for volatility protection, according to BIS research.
That means a higher MOVE reading should not be translated mechanically into a prediction that yields will move sharply in one particular direction. The index does not say whether the next large move, if one occurs, will be higher or lower yields. Nor does it guarantee that the realized move in yields will match the uncertainty embedded in options prices.
A simple sequence illustrates the point. Investors may become concerned that an upcoming period could bring unexpectedly large changes in rates and seek Treasury-option hedges. Greater demand for that protection can push up the implied volatility used in MOVE before the event is resolved. If the eventual yield move is modest, MOVE was not necessarily “wrong”; it reflected the price of uncertainty and protection at the time, rather than a one-way call on the result.
The same principle is relevant when comparing periods. A rise in the index can reflect a changing balance between anticipated rate swings and the cost of insuring against them. It should not be treated as a clean, standalone measure of investor sentiment or a definitive account of why Treasury yields are moving.
What a rise in MOVE can signal about rates and Treasury-market trading
A rising index generally points to greater uncertainty around the path of interest rates, inflation, monetary policy, or Treasury-market supply and demand. Those forces can overlap. For example, changing views on inflation can affect expectations for policy rates, while broader uncertainty can alter the willingness of market participants to take or warehouse Treasury risk.
Rate volatility can also matter for Treasury-market functioning. The Federal Reserve has noted that elevated interest-rate volatility can make Treasury markets less liquid, with dealers widening bid-ask spreads and reducing market depth. Wider spreads raise the cost of trading; reduced depth means less capacity to transact at quoted prices without moving the market.
March 2023 provides an illustration of this channel rather than a template for every episode. The Federal Reserve reported that elevated interest-rate volatility contributed to Treasury-market liquidity strains that month, amid sharply increased uncertainty around the banking sector and the future path of rates.
MOVE alone does not diagnose a liquidity event. Liquidity depends on trading conditions and market participation as well as volatility. Still, a sustained or abrupt rise can be a useful prompt to inspect bid-ask spreads, market depth and other direct measures of Treasury-market conditions.
Why duration investors and the wider economy monitor rate volatility
MOVE is monitored by investors managing duration exposure and Treasury portfolios, as well as participants with mortgage-related assets. Duration describes an asset’s sensitivity to interest-rate changes; when rate uncertainty rises, managing that sensitivity can become more consequential and potentially more costly.
The relevance extends beyond investors who trade Treasury securities directly. Treasury yields are reference rates across financial markets, and rate volatility can feed into broader financial conditions. Mortgage-related assets are particularly exposed to changing rate expectations and volatility because their cash-flow characteristics can be sensitive to how borrowers respond to interest-rate movements.
BIS research finds that a positive shock to MOVE, representing heightened uncertainty about future interest-rate changes, can raise the bond term premium and exert contractionary effects on economic activity. The term premium is the compensation investors require for bearing interest-rate risk over time, separate from expectations about the future path of short-term rates.
This evidence does not make MOVE a complete macroeconomic forecast. It does show why rate volatility can matter beyond daily Treasury trading: if uncertainty raises the compensation demanded to hold longer-dated bonds, financing conditions can tighten through a channel not captured by a single policy-rate expectation.
How to use MOVE without treating it as a trading signal
MOVE is most useful as a risk-monitoring indicator, not a standalone market-timing tool. A higher reading identifies more expensive or more heavily priced rate uncertainty in the options market. It does not, by itself, settle whether a Treasury rally or sell-off is likely, which maturity will move most, or when volatility will fade.
Context is essential. Investors can compare the index with the level of Treasury yields, the shape of the yield curve, credit spreads, direct liquidity measures and equity volatility. A move in the index alongside a sharp change in the curve may carry a different interpretation from an identical move while yields are stable but options hedging demand is increasing.
It is also worth separating market signal from market cause. MOVE may rise alongside concerns about inflation, policy, Treasury supply and demand, or financial-market stress, but the index does not independently identify which factor dominates. The relevant evidence must come from the underlying rates, options and liquidity conditions.
Used this way, the index offers a compact view of how much uncertainty the Treasury-options market is pricing across major maturities. Used in isolation, it can encourage false precision about the direction and timing of the next move.
Frequently Asked Questions
What does a high MOVE Index reading mean?
A high reading indicates that Treasury options are pricing greater one-month uncertainty about future interest-rate changes across the maturities included in the index. It can also reflect a higher premium for volatility protection.
How is MOVE different from the VIX?
Both are options-implied volatility measures constructed by aggregating normalized volatility signals. MOVE covers key U.S. Treasury maturities, whereas the VIX methodology concerns a different market.
Does MOVE predict whether Treasury yields will rise or fall?
No. MOVE is direction-neutral: it measures the price of uncertainty about rate movements, not a forecast of the direction of yields.
Which Treasury maturities are included in MOVE?
The standard index uses one-month over-the-counter options on Treasury securities at approximately 2-year, 5-year, 10-year and 30-year maturities.
Who uses the MOVE Index?
It is used as a risk-monitoring reference by investors managing duration, Treasury portfolios and mortgage-related assets, and by those assessing broader financial conditions.
Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

Bitcoin funding rates are periodic payments exchanged between traders holding long and short positions in Bitcoin perpetual futures. They are not an exchange trading fee. Funding exists because perpetual contracts do not expire: the payment mechanism is designed to help keep the contract price aligned with Bitcoin’s spot or index price.
When funding is positive, longs pay shorts; when it is negative, shorts pay longs. The direction, size and persistence of those payments can show how leveraged traders are positioned, but a funding rate alone does not dictate where Bitcoin’s price will go next.
Bitcoin perpetual funding: the payment that replaces contract expiry
A conventional futures contract has an expiry date. As that date approaches, its price tends to converge with the price of the underlying asset. A perpetual future, often called a perp, has no such date. Traders can hold it indefinitely, subject to margin requirements and the contract’s rules.
That lack of expiry creates a practical problem. Without a mechanism to discourage a persistent gap, a perpetual contract could trade materially above or below the underlying Bitcoin market. Funding is the recurring transfer intended to address that gap. BitMEX’s perpetual contracts guide describes funding as a payment directly exchanged by long and short traders to keep the perpetual price aligned with the spot or index price.
The two sides are straightforward. A long position benefits if the perpetual contract price rises. A short position benefits if it falls. At each scheduled funding timestamp, one side pays and the other receives, according to the funding rate in force for that interval.
Funding therefore belongs to the derivatives position rather than to the act of opening or closing a trade. A trader who is not holding a qualifying position when funding is settled will not have that particular funding payment associated with that position. Contract rules differ by venue, so traders need to check the terms of the specific perpetual they use.
Positive and negative funding: who pays whom
The sign of funding tells traders which side makes the payment. A positive rate generally occurs when the perpetual is trading at a premium to spot. Long holders pay short holders, creating an economic cost for maintaining long exposure and a receipt for the short side.
A negative rate generally means the perpetual is trading at a discount to spot. In that case, short holders pay long holders. Bybit’s funding-fee documentation sets out this positive-long-to-short and negative-short-to-long convention.
Funding’s payment direction does not, by itself, amount to a market judgment: positive funding does not mean every trader is bullish, and negative funding does not mean every trader expects a decline. Under the exchange’s funding methodology, it reflects the relationship between the perpetual and the underlying reference price. Positions may also be held for hedging, market-making or other purposes, rather than a simple directional view.
It is equally important not to confuse funding with a commission. Exchanges can charge trading fees separately. Funding is a transfer between opposing perpetual holders, though the exact operational treatment, timing and calculation are set by the exchange.
How exchanges calculate and settle Bitcoin funding
Funding is not calculated identically everywhere. Rates typically combine an interest-rate component with a premium or discount component that measures the difference between the perpetual contract and its underlying index. The premium portion is the part most directly connected to whether the perp is trading above or below its reference market.
Exchanges can also apply dampeners, caps and floors to their formulas. Those controls can limit or alter how a calculated rate is passed through to traders. BitMEX’s funding payment explanation notes that funding arrangements may incorporate such features, including dynamic settlement intervals.
The interval matters as much as the displayed rate. Many contracts use an eight-hour interval, according to Bybit, but intervals are contract- and exchange-specific. During high volatility, funding limits may be adjusted or settlement may occur more frequently. A rate should therefore be read alongside the contract’s settlement schedule rather than casually compared with a rate quoted for another venue.
For the same reason, traders should distinguish the current displayed rate from the cost already realized. Funding is assessed at settlement under the applicable terms; a screen showing an indicative or current rate is not, by itself, a complete statement of what a position will pay over a longer holding period.
Funding cost on a Bitcoin perpetual position
A simplified calculation is:
Funding fee = position value × funding rate
The position value is the notional value of the perpetual exposure. If the applicable rate is positive, the resulting amount is paid by a long and received by a short. If the rate is negative, the economic direction is reversed.
Consider a hypothetical $10,000 Bitcoin perpetual position at a positive funding rate of 0.01% for one funding interval. Multiplying $10,000 by 0.01% produces a $1 funding payment. A long would pay $1 and a short would receive $1, assuming the position is eligible at settlement and disregarding any other charges or contract-specific details.
If the same rate and position value applied over three separate settlement intervals, the simplified cumulative amount would be $3. In real trading, neither the rate nor position value must remain unchanged: Bitcoin’s price may move, the trader may alter the position, and the exchange’s funding rate may change from one period to the next.
Leverage does not change the notional position value used in that calculation. It can nonetheless make funding more consequential to a trader’s return because leverage lets a trader control a larger position with a smaller amount of collateral. BitMEX notes both the position-value basis of funding calculations and the potential effect on leveraged returns.
That is why looking only at the percentage rate can be misleading. A seemingly small periodic figure can become meaningful when applied repeatedly to a substantial notional position, particularly for a trader holding exposure for an extended period.
What extreme Bitcoin funding reveals—and cannot predict
Funding is widely watched as a derivatives-positioning measure. Persistently high positive funding can indicate crowded, leveraged long positioning. Persistently negative readings can point to crowded shorts or demand for hedges.
The key words are “can indicate.” Funding captures an aspect of perpetual-market positioning, not a complete map of the Bitcoin market. It does not reveal every trader’s time horizon, collateral arrangement or reason for holding exposure. Nor does it account for activity outside the perpetual contract being observed.
Extreme readings can matter because crowded leverage may make a market more sensitive to price moves and position adjustments. But they are not a standalone timing signal. As CryptoQuant’s Bitcoin funding-rate material notes, extreme funding is useful for assessing positioning and risk, not for establishing that price must reverse immediately.
That distinction is particularly relevant with positive funding. Traders sometimes treat a high positive rate as an automatic sell signal because longs are paying shorts. The rate may instead remain positive while the perpetual continues trading at a premium. Negative funding carries the mirror-image limitation: it may reflect short crowding or hedging demand without guaranteeing an immediate rally.
A more disciplined reading puts funding beside other information rather than elevating it above everything else. Its practical value lies in showing the ongoing cost or receipt attached to a perpetual position and the directional imbalance implied by the contract’s pricing.
Funding arbitrage: positive-rate cash and carry and its trade-offs
Funding can also be part of a market-neutral-style structure. When funding is positive, a trader may buy spot Bitcoin while shorting an equivalent Bitcoin perpetual position. The spot long and perpetual short are intended to offset much of the directional Bitcoin exposure, while the short perp receives funding as long as positive funding persists.
This is commonly described as cash and carry or funding arbitrage. Bybit’s introduction to arbitrage identifies buying spot and shorting an equivalent perpetual during positive funding as one such use of the mechanism.
The paired trade may appear simple, but its risks remain. Funding can fall, turn negative or otherwise vary, eliminating the expected receipt; the difference between spot and perpetual prices—often called basis—can move as well. Liquidity conditions may affect execution and exit, and collateral management and exchange exposure remain material considerations.
Matching the size of the spot holding and perpetual short does not eliminate every operational issue. A trader still has to manage the derivative position, its collateral and the possibility that contract or venue conditions change. Funding arbitrage is therefore not a guaranteed yield simply because a positive rate is visible at one point in time.
Frequently Asked Questions
Is Bitcoin funding paid to an exchange?
Funding is generally a payment exchanged between long and short perpetual-futures traders. It is separate from any trading fees an exchange may charge.
Why do Bitcoin perpetual futures have funding rates?
Perpetuals have no expiry date. Funding is designed to encourage alignment between the contract price and the underlying spot or index price that expiry would otherwise help produce in dated futures.
Does positive funding mean Bitcoin will fall?
No. It means longs generally pay shorts and may indicate leveraged long positioning, but it does not reliably predict an immediate reversal.
How often is Bitcoin funding charged?
The schedule depends on the exchange and contract. Many contracts use eight-hour intervals, though venues may use different schedules or adjust arrangements during volatile conditions.
Does leverage increase the funding fee?
The simplified calculation uses position value and the funding rate, not leverage itself. However, leverage can make the same notional funding payment larger relative to the collateral committed.
Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

For assessing inflation for monetary-policy purposes, Core PCE generally matters more than CPI. Although the Fed defines its 2% longer-run inflation objective using the annual change in the headline Personal Consumption Expenditures price index—not the Consumer Price Index—Core PCE is not the formal target. It excludes food and energy and is instead a closely watched tool for judging underlying inflation trends.
CPI remains a major and useful inflation measure. It is designed around out-of-pocket spending by urban households, whereas PCE has a broader coverage and a method that accounts for changes in consumer spending patterns. Those design choices mean the two indexes can show different inflation rates without either one necessarily being wrong.
The Fed’s 2% target is PCE, not CPI
The most direct answer is that PCE is the measure that anchors the Fed’s stated inflation goal. The Federal Reserve Board says its 2% longer-run objective is based on the annual change in the PCE price index. A reader trying to gauge progress toward that objective should therefore begin with headline PCE inflation.
That distinction is easily blurred because CPI is often the more familiar public release. It is widely used to describe changes in consumer prices, and it can be highly relevant to the cost increases households experience directly. But public visibility does not make it the Fed’s target index.
Nor does the target mean policymakers mechanically react to a single monthly PCE reading. The Fed says it examines multiple measures and components of inflation rather than relying on one statistic. Its choice of PCE for the target establishes the benchmark; the broader policy assessment can draw on core and headline readings, as well as what is occurring across the underlying categories.
Headline PCE sets the target; core PCE helps read the trend
Headline PCE includes all of the categories in the PCE price index. This is the measure used for the 2% goal, so food and energy are part of the destination the Fed has set.
Core PCE removes food and energy prices. The Bureau of Economic Analysis explains that the exclusion is intended to reduce the influence of volatile movements and make the underlying trend in inflation easier to see. A sharp move in either category can affect household budgets and headline inflation, yet it may obscure whether price pressure is broadening or easing elsewhere in the economy.
Excluding those categories is not a claim that they do not matter. Food and energy are real expenditures, and they remain in headline PCE. Core PCE instead serves a different analytical purpose: it filters two components that can move sharply, allowing policymakers and readers to examine a less volatile series alongside the all-items measure.
Although the Fed has described core inflation as historically a better guide to future inflation than headline inflation, it also emphasizes that no single statistic settles the question. Core PCE thus helps interpret the direction of inflation without replacing headline PCE as the formal objective.
A useful shorthand is: headline PCE tells readers how inflation compares with the Fed’s stated target, while core PCE helps them assess the underlying trend behind that comparison.
How PCE captures changing spending patterns
PCE and CPI do not merely apply different labels to the same shopping basket. The PCE price index uses a chained Fisher formula, according to the Bureau of Economic Analysis. In practical terms, this approach incorporates changes in consumer spending patterns rather than treating purchasing choices as fixed in the same way over time.
That matters when relative prices change. If one category becomes more expensive and consumers alter their spending, an index that captures changing spending patterns can produce a different result from one based on a more fixed expenditure structure. The difference is methodological, not evidence that one release has made an arithmetic mistake.
PCE also covers spending by households and nonprofit institutions. Its scope includes certain expenses paid on consumers’ behalf, not solely bills paid directly out of a household’s pocket. This broader coverage is one reason PCE should not be read as a simple measure of a household’s checkout-price experience.
Consider a simplified comparison. A family may feel a sizable increase in prices for goods and services it pays for directly. At the same time, the broader PCE framework can reflect categories whose costs are paid on consumers’ behalf and can respond to shifts in overall spending patterns. The CPI and PCE results may consequently diverge even if both are measuring inflation faithfully within their respective definitions.
Why CPI can tell a different inflation story
CPI is centered on out-of-pocket consumption expenditures by urban households. Its expenditure weights are derived primarily from household surveys, and it uses a modified Laspeyres-type formula, as outlined in a BEA comparison of the indexes. These features give CPI a different population, spending scope and weighting approach from PCE.
For a person asking, “What is happening to prices that urban households pay directly?” CPI can be an especially intuitive reference point. For a person asking, “What measure defines the Fed’s inflation objective?” PCE is the relevant answer. The questions overlap, but they are not interchangeable.
FeaturePCE price indexCPI Fed’s formal 2% objectiveYes, using headline PCENo Spending scopeHouseholds and nonprofit institutions; includes some expenses paid on consumers’ behalfOut-of-pocket consumption expenditures by urban households Method described by BEAChained Fisher formula that incorporates changing spending patternsModified Laspeyres-type formula, with weights derived primarily from household surveys Core versionExcludes food and energyExcludes food and energy
The comparison also cautions against treating a gap between the measures as a simple contest. A gap may arise from their different scopes, expenditure weights and formulas. The constructive question is which measure best fits the purpose of the comparison being made.
Core CPI is useful, but it is not the Fed’s target
Core CPI is CPI excluding food and energy. The Bureau of Labor Statistics publishes it as an analytical series; headline CPI does not exclude those categories. In other words, the practice of looking at a core measure is not unique to PCE.
Core CPI can help readers separate broad price movements from swings in food and energy. It is particularly useful when the aim is to understand the behavior of the CPI basket apart from those two categories. But core CPI is still a CPI-based measure, with CPI’s out-of-pocket urban-household scope and methodology.
That leads to two common misconceptions. First, core PCE is not the Fed’s official 2% target; headline PCE is. Second, CPI is not automatically “headline” simply because it is CPI: BLS also publishes a core CPI series. The meaningful comparison is often among four distinct labels—headline PCE, core PCE, headline CPI and core CPI—rather than between two vaguely defined inflation numbers.
Official chart comparing PCE inflation measures, including headline and core PCE, with the Federal Reserve’s 2% objective. — Source: Federal Reserve Board, Monetary Policy Report—July 2026
How to interpret a gap between core PCE and CPI
Start with the question being asked. If the issue is whether inflation is moving toward or away from the Fed’s stated longer-run goal, headline PCE is the direct reference measure. If the question is whether the inflation trend looks less affected by volatile food and energy prices, core PCE is a central diagnostic.
If the focus is on direct household expenditures among urban consumers, CPI provides a different but valid lens. A headline CPI figure can be important to households even though it is not the formal gauge for the Fed’s 2% objective. Core CPI can then offer a filtered view of that same CPI framework.
Next, avoid drawing a conclusion from the labels alone. PCE covers household and nonprofit spending and includes some expenses paid on consumers’ behalf; CPI covers out-of-pocket expenditures by urban households. PCE’s chained Fisher approach incorporates changing spending patterns, while CPI uses a modified Laspeyres-type formula with weights derived primarily from household surveys. Those distinctions can create persistent or temporary differences in measured inflation.
Finally, resist the idea that an observer must choose one release and ignore the other. The Fed’s own description of its process is broader: policymakers examine multiple inflation measures and components. For readers, the practical hierarchy is straightforward—use headline PCE for the official target, core PCE for a closely watched view of underlying inflation, and CPI or core CPI when the question concerns the CPI measure of prices paid directly by urban households.
Frequently Asked Questions
Is core PCE the Federal Reserve’s official 2% inflation target?
No. The Fed defines its longer-run 2% objective using the annual change in the headline PCE price index. Core PCE is used to help assess the underlying inflation trend.
Why does core PCE exclude food and energy?
Food and energy can experience volatile price movements. Removing them is intended to reduce that volatility’s effect on the measure and make broader inflation patterns more visible.
Why can PCE inflation and CPI inflation differ?
They have different coverage and methods. PCE incorporates changing spending patterns and includes some spending paid on consumers’ behalf, while CPI measures out-of-pocket expenditures by urban households.
Does CPI exclude food and energy?
Headline CPI includes both categories. BLS also publishes core CPI, an analytical series that excludes food and energy.
Should readers ignore CPI because the Fed targets PCE?
No. CPI remains useful for tracking changes in out-of-pocket prices faced by urban households. It simply answers a different question from whether inflation is at the Fed’s PCE-based target.
Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

The 10-year Treasury yield is the market-implied annualized return on a standardized, theoretical U.S. government security with a 10-year maturity. It is one of the most widely watched interest-rate benchmarks because it summarizes the return investors demand for lending to the U.S. government over a long horizon.
The quoted figure is not necessarily the yield on a Treasury bond that has exactly 10 years left before it matures. The U.S. Treasury publishes the figure as a Constant Maturity Treasury rate, derived by interpolation from its daily Treasury par-yield curve. That creates a consistent 10-year reference point even when no outstanding security fits that maturity exactly. Treasury’s daily yield-curve data provide the published benchmark.
The 10-Year Treasury Yield Is a Constant-Maturity Market Benchmark
“Treasury yield” can refer to the return associated with a particular government security, but the 10-year rate normally cited in markets and news reports is a standardized benchmark. Constant maturity means the maturity point remains 10 years, rather than rolling down with a single bond as time passes.
This distinction matters. A Treasury issued years ago may now have less than 10 years remaining, while a newly issued 10-year note begins with a full decade to maturity. The published constant-maturity figure uses the broader curve of Treasury yields to estimate the rate at the 10-year point. It is therefore best understood as a market-built reference rate, not the price of one permanently identified bond.
U.S. Treasuries are obligations of the federal government. Their yields form a baseline for borrowing costs and asset valuations throughout financial markets because investors and institutions can compare returns elsewhere with those available on government securities. A higher 10-year yield means the market is demanding a higher annualized return at that point on the curve; a lower yield means it is demanding less.
How Treasury Prices Become the Published 10-Year Rate
Bond trading is the starting point. Treasury par yields are derived from indicative bid-side prices for recently auctioned Treasury securities traded over the counter. The Federal Reserve Bank of New York collects those quotations at or near 3:30 p.m. each business day, and the resulting inputs are used to construct the curve from which Treasury interpolates its constant-maturity rates. Treasury’s methodology description sets out that process.
That chain explains why the 10-year yield moves throughout the day in market discussion but is also available as an official daily reference. Investors, dealers and other market participants update the prices they are willing to pay for Treasury securities as conditions change. The official published rate turns those market prices into a common maturity-based measure.
The par-yield curve is especially useful because it presents comparable yields across maturities. Rather than treating every individual Treasury as a separate benchmark with its own coupon and remaining life, the curve supplies standardized points ranging from short-term to longer-term borrowing. The 10-year point is simply the one that has become especially influential.
It is not set directly by the Federal Reserve. The Fed sets its policy rate, while the 10-year Treasury yield is determined in the market and incorporates what investors expect over a much longer period. The two can move together at times, but they answer different questions.
Why Bond Prices and Yields Move in Opposite Directions
Bond prices and yields generally move in opposite directions. When market rates rise, the prices of existing fixed-rate bonds tend to fall and their yields rise. When market rates fall, existing bond prices tend to rise and their yields decline. The SEC’s Investor.gov guidance describes this fundamental fixed-income relationship.
A simplified example shows the logic. Imagine an existing bond that pays a fixed $4 annual coupon for every $100 of face value. If newly available bonds offer higher income for a comparable investment, a buyer has less reason to pay $100 for the older $4-coupon bond. Its market price must decline until the income it provides, together with repayment of principal at maturity, offers a competitive return.
The reverse applies when newly available rates are lower. The fixed $4 payment on the existing bond becomes more appealing relative to what new securities offer, so investors may pay more for it. Its yield falls as its price rises. Coupon payments do not change, but the price at which an investor buys the bond does.
This is why a headline saying that the 10-year yield “rose” generally describes a fall in the market value of the relevant Treasury securities, not a larger coupon suddenly being paid to current holders. Yield is the return implied by the bond’s price and cash flows.
Fed Expectations and the Term Premium
Movements in the 10-year yield are often interpreted as a view on where the Fed will take short-term interest rates. That interpretation is incomplete. The yield reflects both expectations for the future path of short-term rates and a term premium: the compensation investors require for bearing interest-rate risk over a longer horizon.
The term premium can change independently of expectations for the policy rate. As a result, a rise in the 10-year yield does not establish that markets expect an equivalent increase in the Fed’s policy rate, and a decline does not prove the opposite. The New York Fed’s term-premium materials make this separation explicit.
For readers, the useful sequence is: market participants price Treasury securities; those prices imply yields; and the 10-year yield combines a view about future short-term rates with compensation for holding rate risk over time. Treating every move as a direct Fed forecast skips the final component.
Nor does a higher yield carry one universal message about the economy or financial markets. It can reflect changes in the components embedded in the rate, while the effect on another asset depends on that asset’s own cash flows, valuation and investor base.
How the 10-Year Yield Reprices Stocks
Long-term Treasury yields matter to stocks through valuation and competition for capital. A share represents a claim on a company’s future cash flows. When investors use a higher discount rate to value those future cash flows, their present value is lower, all else equal. That effect can be more consequential for companies whose expected cash flows lie further in the future.
Government bonds also offer an alternative return that is generally viewed as relatively low risk. If long-term Treasury yields rise, investors may demand a greater expected return from equities to justify the additional uncertainty. The Federal Reserve monitors this relationship with an equity-risk-premium measure based on forward earnings yield minus the real 10-year Treasury yield. The Fed’s Financial Stability Report describes that measure.
These channels help explain why equity markets often pay close attention to the 10-year rate. They do not create a mechanical rule that stocks must fall whenever the yield rises. Stock prices also reflect expectations for profits and a range of other market conditions. A yield increase associated with stronger expected economic activity, for example, need not be interpreted in the same way as one driven by a higher required term premium.
Ten-Year Yield Decomposition: observed 10-year yield, risk-adjusted yield and estimated term premium, 1961–2015. — Source: Federal Reserve Bank of New York, Liberty Street Economics
Why Gold Responds More Directly to Real Yields
For gold, the more relevant comparison is often the real yield: an interest rate adjusted for inflation, rather than the nominal 10-year Treasury yield alone. Gold does not generate regular income. When real yields rise, the foregone income from holding gold instead of an interest-bearing asset generally becomes larger. When real yields fall, gold can become relatively more attractive.
A nominal Treasury yield can rise without delivering the same signal about gold if inflation expectations rise as well. In that case, the inflation-adjusted return may move less than the nominal rate suggests. This is why a simple comparison between gold and the headline 10-year yield can miss an important part of the relationship.
Even real yields are not a complete explanation. The dollar, inflation risks, central-bank purchases and safe-haven demand can all affect gold prices, according to the World Gold Council. Gold’s sensitivity to real rates is a useful framework for assessing opportunity cost, not a guarantee of its price direction on a particular day.
Why Bitcoin Is Not a Reliable Treasury-Yield Hedge
Bitcoin is sometimes presented as an asset that should provide a straightforward hedge against conventional financial conditions. Evidence does not support treating it as a reliable inverse trade on Treasury yields. Its market behavior has often been tied to liquidity and appetite for risk.
Research from the International Monetary Fund found that U.S. monetary-policy shocks affect crypto markets in a manner similar to global equities: low-interest-rate conditions support crypto-market returns, while tighter financial conditions weigh on them. The IMF study points to a risk-sensitive transmission channel rather than a consistent hedging relationship.
The 10-year yield is not itself a policy setting, so it should not be treated as a single-cause explanation for Bitcoin’s moves. Still, a rise in long-term yields can matter when it accompanies tighter financial conditions or a higher return on relatively low-risk assets. In that environment, Bitcoin may face pressures similar to those affecting other risk-sensitive holdings.
That differs from gold’s usual real-yield framework. Gold is commonly assessed against the opportunity cost of holding a non-income-producing asset; Bitcoin’s response has been more closely associated with liquidity and risk appetite. Neither relationship eliminates the influence of other forces, and neither turns the 10-year yield into a standalone trading signal.
Frequently Asked Questions
Is the 10-year Treasury yield the same as the Fed’s interest rate?
No. The Fed’s policy rate is a short-term rate set by the central bank. The 10-year yield is market determined and includes expectations for future short-term rates as well as a term premium.
Why does a Treasury bond’s price fall when its yield rises?
Its fixed coupon becomes less competitive when comparable market rates increase. The bond’s price adjusts downward so that a new buyer receives a higher implied return.
Does a higher 10-year yield always mean stocks will decline?
No. Higher yields can reduce equity valuations through discounting and alter the relative appeal of government bonds, but expected corporate earnings and the reason yields are moving also matter.
Why are real yields more important than nominal yields for gold?
Because gold provides no regular income, real yields better capture the inflation-adjusted income an investor may forgo by holding it. Nominal yields alone do not account for changes in inflation expectations.
Is Bitcoin a hedge against rising Treasury yields?
There is no consistent basis for that assumption. IMF research characterizes crypto markets as sensitive to monetary conditions and risk appetite, meaning tighter conditions can weigh on Bitcoin as they can on global equities.
Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

Bitcoin realized price is an on-chain estimate of the average cost basis across Bitcoin’s circulating supply. It is calculated by dividing realized capitalization by current circulating supply. Unlike the spot price, it does not value every coin at today’s market price: each unspent transaction output, or UTXO, is valued at the market price when that output last moved on-chain.
That makes realized price a supply-wide reference point rather than the average price paid by every individual investor. It is useful for examining the broad relationship between the market price and the prices at which coins were last transacted, but it cannot identify the precise acquisition cost of a particular holder or wallet.
Bitcoin realized price: realized capitalization divided by circulating supply
The calculation is straightforward:
Bitcoin realized price = realized capitalization ÷ circulating supply.
Realized capitalization is the key input. Conventional market capitalization takes circulating supply and values it all at the current market price. Realized capitalization instead adds up the value of each UTXO at the price prevailing when it was last moved. Glassnode’s market documentation defines realized price through that relationship between realized cap and circulating supply.
The distinction changes what the metric represents. Market capitalization answers a present-value question: what would the circulating supply be worth if each coin were marked at the current price? Realized capitalization is closer to a historical valuation of supply based on observable on-chain movement. Dividing that total by supply produces a per-bitcoin figure that serves as an aggregate cost-basis proxy.
Coin Metrics notes that this approach reduces the influence of long-dormant and potentially lost coins relative to conventional market capitalization. A coin that has not moved for a long period is not continuously marked up or down with the spot market in realized-cap calculations; its valuation remains linked to its last observed on-chain movement.
“Cost basis” needs careful treatment here. In ordinary investing, a cost basis is the amount an owner paid. Bitcoin realized price does not observe every trade, every beneficial owner, or every off-chain transfer. It estimates the last on-chain valuation assigned to the existing supply, then expresses that aggregate in price-per-coin terms.
How UTXOs give each coin a last-moved valuation
Realized-price metrics depend on Bitcoin’s UTXO accounting model. A UTXO is an unspent transaction output: a discrete quantity of bitcoin controlled by a wallet. Rather than treating a wallet balance as a single account balance that is amended in place, Bitcoin transactions consume existing outputs and create new outputs.
For example, a transaction can spend one or more UTXOs as inputs and generate new UTXOs for the recipient and, where applicable, for change returned to the sender. The spent outputs cease to exist. The newly created outputs become part of the unspent supply until they are used in a later transaction.
This creation-and-spending sequence gives on-chain analysts a timestamped event at which to associate an output with a market price. As Glassnode’s UTXO guide explains, realized-price calculations use those output creation and spending events. In effect, each currently unspent output carries a valuation from its last movement.
That does not mean an on-chain transaction necessarily represents a sale. A person may move bitcoin between wallets they control. An exchange may reorganize custody. A business may consolidate many smaller outputs into fewer larger ones. The blockchain can show that outputs moved; it does not reliably reveal the economic reason for every movement.
Still, the UTXO structure provides a consistent way to construct a chain-wide historical valuation. Every existing output can be linked to a last-moved point, and those valuations can be summed into realized capitalization.
Why realized capitalization changes when bitcoin moves
Realized capitalization changes when coins are spent and the replacement outputs receive a new last-moved valuation. The direction of the change depends on the price at the new movement relative to the price associated with the prior output.
Consider a simplified sequence. Assume a 1 BTC UTXO last moved when bitcoin traded at $20,000. Its contribution to realized capitalization is therefore $20,000. If that UTXO is later spent when bitcoin trades at $50,000, the new output or outputs representing that 1 BTC, ignoring transaction-fee complications for simplicity, are assigned a $50,000 last-moved valuation. Realized capitalization rises by the difference between those two valuations.
If the same coin instead moves at a lower price than its prior valuation, realized capitalization falls through repricing. Glassnode’s realized-capitalization guide describes these shifts as capital being realized on-chain.
This is not a ledger of fiat money flowing into or out of Bitcoin. A higher realized cap after coins move at a higher price does not prove that an equivalent amount of new cash entered the network. Nor does a lower figure prove corresponding fiat outflows. The metric changes because its methodology replaces an old last-moved valuation with a newer one.
The distinction matters particularly when interpreting periods of heavy on-chain activity. More transactions can create more opportunities for repricing, but transaction volume alone does not tell an observer whether transfers reflected purchases, sales, internal custody operations, or a mixture of those actions.
Spot price versus realized price: the aggregate profit-and-loss baseline
The most common use of realized price is to compare it with Bitcoin’s spot price. When spot is above realized price, the supply as a whole is, on average, in an unrealized profit position under this methodology. When spot is below realized price, aggregate supply is, on average, in unrealized loss.
This is a broad baseline, not a statement that every holder is profitable or unprofitable. A holder who acquired bitcoin recently may have a very different position from a holder whose coins have remained unmoved for years. The comparison is about aggregate supply and its last-moved valuations, not a census of each investor’s trading history.
The MVRV ratio provides a related way to express the relationship. MVRV is market capitalization divided by realized capitalization. Because market capitalization marks supply at the current price while realized capitalization uses last-moved prices, the ratio compares the market’s current valuation of supply with its realized valuation.
An MVRV ratio above 1 means market capitalization is greater than realized capitalization; a ratio below 1 means the reverse. Glassnode’s MVRV documentation frames both measures as a way to assess aggregate unrealized profitability or loss.
Neither realized price nor MVRV supplies a mechanical trading signal. They describe relationships derived from on-chain supply accounting and market pricing. Investors may use them alongside other information, but the metrics cannot establish how prices will move next.
What realized price can and cannot tell investors
Realized price can help put Bitcoin’s market price in a wider historical and on-chain context. It offers a single, understandable benchmark for asking whether spot price is above or below the aggregate last-moved valuation of circulating supply. That can be more informative than looking at spot price alone when the question is broad holder profitability.
It can also help distinguish two concepts often conflated in market commentary. Current market capitalization changes whenever spot price changes, even if no bitcoin moves on-chain. Realized capitalization is comparatively anchored by UTXOs’ last-moved prices and changes as outputs are repriced through spending activity.
But realized price is not the average price all investors paid. The on-chain record does not capture off-chain trading within an exchange’s internal ledger, and the entity controlling a wallet may not be the beneficial owner of the coins. A withdrawal from an exchange, for instance, creates an observable output but does not necessarily reveal the customer’s original purchase price.
Exchange custody is one source of distortion. Other potential complications include transfers between a holder’s own wallets, wallet-management changes, and consolidation of multiple UTXOs. Each can create on-chain movement and thus a new valuation without necessarily representing a new economic purchase or sale.
Coins that have never moved after issuance, or have been dormant for very long periods, present a different issue. Their realized valuation can remain tied to an old price even as spot price changes substantially. This feature is partly why realized capitalization is less affected by dormant or potentially inaccessible supply than market cap, but it also means the metric is not a real-time survey of all holders’ current decisions.
Coin Metrics’ documentation characterizes realized capitalization as an estimate based on observable movement and pricing assumptions. That is the right way to read realized price: a rigorous on-chain proxy with defined methodological limits, rather than an exact accounting statement for Bitcoin owners.
URPD maps where supply last changed hands
UTXO Realized Price Distribution, usually called URPD, extends the same framework. Instead of reducing the entire supply to one realized-price figure, URPD groups existing bitcoin supply into price buckets based on where each UTXO last moved.
A distribution may show that a relatively large quantity of supply last moved around a particular range of prices. Analysts use these concentrations to identify areas where a substantial portion of supply has a similar last-moved valuation.
Those areas may be treated as potential support or resistance zones. If spot price approaches a large cost-basis concentration, some market participants may view the level as relevant to holder behavior. But the distribution does not guarantee that buyers or sellers will act at that price, and it does not identify the intentions, time horizons, or financial circumstances of the holders represented in a bucket.
Glassnode’s URPD guide describes the metric as a view of supply by the price range in which it last moved. Used with realized price, it adds detail: realized price gives an aggregate reference, while URPD shows how the underlying last-moved supply is distributed across price levels.
Frequently Asked Questions
Is Bitcoin realized price the same as Bitcoin’s average purchase price?
No. It is a supply-wide estimate derived from the price at which current UTXOs last moved on-chain, not a record of every investor’s purchase price.
How is Bitcoin realized price calculated?
Analysts divide realized capitalization by current circulating supply. Realized capitalization values each unspent output at the market price associated with its last on-chain movement.
What does it mean when Bitcoin trades above realized price?
The realized-cap methodology indicates that aggregate supply is in unrealized profit on average, although individual holders can still be at gains or losses depending on when and how they acquired their bitcoin.
Does a rise in realized capitalization mean new money entered Bitcoin?
Not necessarily. It can result when coins with an older, lower last-moved valuation are spent and repriced at a higher market price.
Why can wallet transfers affect realized price metrics?
A transfer consumes old UTXOs and creates new ones, giving the new outputs a fresh last-moved valuation. The transaction may be a sale, but it may also be an internal transfer or a custody operation.
What is the difference between realized price and URPD?
Realized price condenses the supply’s realized valuation into one per-coin figure. URPD separates supply into price buckets to show where existing UTXOs last moved.
Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

A token unlock is the release of tokens that were previously restricted under a vesting or lock-up schedule. Once unlocked, tokens can become claimable or transferable by the designated beneficiary, which may include a project team member, investor, advisor or treasury wallet. That change in access does not, by itself, mean those tokens have been sold on the open market.
Token unlocks release tokens that were previously restricted
Projects often allocate part of a token supply before or around a launch but place restrictions on when recipients can access it. A vesting arrangement sets the terms for releasing those tokens over time. The underlying purpose is practical: different allocations can be subject to different release dates and rates rather than all becoming available on day one.
In technical terms, vesting contracts can make assets releasable according to a schedule. OpenZeppelin’s finance documentation, for example, describes vesting-wallet mechanisms under which tokens are released to a beneficiary according to a vesting curve.
“Unlock” is therefore a statement about availability. It is not a synonym for a market sale, an exchange deposit or a fixed amount of newly tradable supply. A recipient might claim the assets and hold them, use them in staking, transfer them privately, or sell them. They might also leave available tokens unclaimed for a time.
Cliffs, linear vesting and tranches determine when tokens become available
The schedule matters as much as the allocation. Three common designs are a cliff, linear vesting and discrete tranches. A cliff is a period during which no tokens are released; after its specified timestamp, a scheduled amount may become available. OpenZeppelin’s VestingWalletCliff, for instance, prevents release before the cliff timestamp.
Linear vesting releases tokens progressively over a stated period. If a beneficiary has an allocation subject to a one-year linear schedule after a cliff, the amount available typically builds over that year rather than arriving in one block. A tranche schedule instead releases specified portions on particular dates.
A simple sequence illustrates the difference. Consider a 1 million-token allocation with a six-month cliff followed by monthly tranches over the next 10 months. Nothing is available during the first six months. At the first release date, one tranche becomes available; additional tranches follow monthly. If the same allocation vested linearly after the cliff, availability would accrue continuously or according to the contract’s chosen calculation rather than in monthly steps.
There is no single mandatory curve. The schedule is set in the project’s tokenomics and, where applicable, its smart-contract implementation. A large “unlock” shown on a calendar may thus be a one-off cliff release, the next installment in a long-running emission, or several allocations reaching release dates at once.
Teams, investors, advisors and treasuries can receive unlocked tokens
Teams, early investors, advisors and treasury wallets are among the beneficiaries that may receive previously restricted allocations when they unlock. Their different time horizons, constraints and reasons for using tokens mean that recipient category can add context beyond the headline unlock figure.
The project and its stakeholders set allocations and vesting periods. Beneficiaries make the separate decision whether to claim the tokens, according to Tokenomist’s concepts and methodology. The scheduled release is consequently one part of the process; later wallet activity, including an actual claim, is another.
That distinction matters particularly for treasury wallets: treasury-held tokens are not automatically tokens entering an exchange order book. Nor does an investor allocation show that the owner will sell at the first opportunity. The relevant review asks who receives access, what amount is scheduled, and whether claims or subsequent transfers can be observed.
Scheduled unlocks, claimed tokens and circulating supply are different measures
Three figures are frequently conflated: tokens scheduled to unlock, tokens actually claimed, and circulating supply. They measure different points in the process. A schedule can state that a beneficiary is entitled to release a given amount; an on-chain claim can show that the beneficiary has accessed it; circulating supply is a broader market-supply measure with methodology that can vary by provider.
Tokenomist’s post-unlock analysis distinguishes scheduled unlocks from tokens actually claimed on-chain. That gap can matter. Tokens that are technically unlocked may remain untouched, while claimed tokens can be retained, staked, moved through private transactions or sold.
For that reason, a calendar entry should be read as a potential change in access rather than a direct reading of immediate sell-side volume. It also does not establish an immediate, one-for-one change in any particular circulating-supply estimate. Readers assessing a release should look for the schedule’s terms and, after the event, any available claim history and wallet activity rather than assuming a single outcome.
Unlock size and market liquidity shape potential price pressure
The most useful comparison is usually not the dollar value of an unlock in isolation. It is the release relative to existing circulating supply, alongside the market’s capacity to absorb trading. Average daily trading volume, market depth, demand and the likely behavior of recipients can all affect how readily sales, if they occur, are absorbed.
Fully diluted valuation, or FDV, can add another perspective because it reflects a valuation based on the total token supply rather than only the circulating portion. A substantial difference between circulating supply and fully diluted supply may signal that sizeable future releases remain part of the token’s supply profile. It does not predict a price move on its own.
Historical work cited by 6th Man Ventures found little meaningful relationship between price performance and unlocks adding 0% to 1% of circulating supply, while larger unlocks were associated with more noticeable negative effects. The finding is a useful proportionality check, not a rule that applies to every asset or trading period.
Scheduled amount versus circulating supply: How large is the release as a share of tokens already circulating?
Release shape: Is it a cliff event, a discrete tranche or a gradual emission?
Market conditions: What do trading volume and available liquidity indicate about absorption capacity?
Recipient type and claims: Which allocation is unlocking, and is there evidence that prior releases were claimed or moved?
FDV and remaining schedule: How does the event fit into the broader supply outlook?
These checks do not turn an unlock into a forecast. They help separate a comparatively small scheduled release in a deep market from a larger event involving a low-float token and limited liquidity.
Why prices can move before an unlock—and why an unlock does not prove causation
Scheduled unlocks are commonly public. Traders can position for a date they expect to affect available supply or sentiment, which means related price pressure may arrive before the release itself.
The historical record is narrower than a simple “unlock means decline” rule. Tokenomist’s 2026 study of 236 events found conditional effects concentrated in early-stage, thin-float tokens. In a separate preliminary 2026 study, HoKwang Kim reported negative 72-hour returns for 46 of 52 Binance-listed unlocks; the SSRN paper calls the evidence correlational and preliminary, not proof that unlocks alone caused the declines.
“Thin float” means that relatively little supply is available to the market compared with the broader supply picture. That context, along with the scheduled amount, circulating supply, liquidity, trading volume, allocation and vesting terms, belongs in the analysis. The calendar is a research prompt: it does not show that beneficiaries will claim or sell the tokens, and it does not determine where the price will trade.
Frequently Asked Questions
Does every token unlock cause the price to fall?
No. Price outcomes depend on the unlock’s size relative to circulating supply, liquidity, demand, recipient behavior and market conditions. Research has found conditional effects rather than a uniform outcome across events.
Does an unlock immediately increase circulating supply?
Not necessarily. A beneficiary can delay a claim, hold the tokens after claiming, stake them or transfer them without selling. Scheduled releases, claims and circulating-supply estimates should be treated as separate measures.
What does a token vesting cliff mean?
A cliff is the point before which no tokens can be released under that portion of a vesting schedule. After the cliff, the tokens may vest through a lump-sum release, tranches or a gradual schedule.
Where can I find a token’s vesting schedule?
Start with the project’s tokenomics materials and official documentation. Where vesting is implemented on-chain, the relevant contracts and claim activity may provide additional evidence about releases.
Which numbers matter most before a token unlock?
Compare the scheduled amount with circulating supply, then examine FDV, average daily trading volume, recipient category, prior claim behavior and whether the release is a cliff or gradual emission. No one metric is sufficient on its own.
Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

The CME FedWatch Tool is a market-pricing monitor. It uses prices of 30-Day Federal Funds futures to estimate the market-implied probabilities of possible interest-rate outcomes at upcoming Federal Open Market Committee meetings. It does not publish the Federal Reserve’s own forecast, nor does it guarantee what the FOMC will decide.
That distinction matters because FedWatch translates a traded futures market into an easily read set of probabilities. The numbers reflect the pricing embedded in those contracts at a given time, using CME’s stated methodology and assumptions. They can change as futures prices change.
What the CME FedWatch Tool measures
CME Group’s FedWatch Tool presents market-implied probabilities for upcoming FOMC rate outcomes. The underlying instrument is the 30-Day Federal Funds futures contract, rather than a survey of economists or a direct statement from Fed officials.
The FOMC is the Federal Reserve committee that sets the target range for the federal funds rate. FedWatch starts somewhere different: with the price at which market participants trade contracts tied to the average effective federal funds rate during a particular calendar month. CME then converts the information in a sequence of contract months into possible outcomes around scheduled policy meetings.
This makes the tool useful for observing how the market is positioned around a meeting. A displayed probability is best understood as an estimate inferred from futures pricing, not a declaration that the central bank is likely or required to take a particular action.
EFFR and the FOMC target range
Two related rates sit at the center of the calculation, and they should not be treated as identical. The FOMC sets a target range for the federal funds market. The effective federal funds rate, or EFFR, is a reference rate calculated by the Federal Reserve Bank of New York as the volume-weighted median of overnight federal funds transactions.
In other words, the target range is the policy setting, while EFFR is an observed market rate. The New York Fed’s EFFR methodology explains that the rate is derived from overnight federal funds transactions; the FOMC’s target range guides the market in which those transactions occur.
FedWatch relies on futures linked to EFFR because the futures contract settles against that observed rate. Its output is then expressed in terms readers recognize from FOMC decisions: target-range outcomes, including a possible unchanged setting, hike or cut.
FedWatch presents a structured estimate of market pricing, not a direct measurement of policymakers’ intentions. CME’s methodology can make that conversion because policy and EFFR are closely connected, though the conversion remains an analytical step.
How a Fed Funds futures price becomes an expected monthly rate
A 30-Day Fed Funds futures price follows a simple quotation convention: it is priced as 100 minus the expected average EFFR for the contract month. CME states that the contract’s final settlement is based on the arithmetic average of daily effective federal funds rates in that month.
For a simple hypothetical illustration, a futures price of 96.00 corresponds to an implied average monthly EFFR of 4.00%: 100 minus 96.00. A price of 95.75 would correspond to 4.25%. These examples show the quotation arithmetic only; they are not forecasts or current market prices.
The monthly-average feature is crucial around an FOMC meeting. A contract month may include days before and after the policy decision. Its price therefore reflects the expected average EFFR across the whole month, not solely the rate expected immediately after the meeting.
That is why a FedWatch-style calculation needs more than one subtraction from a futures price. It must account for the calendar placement of the meeting and infer the rate outcome consistent with the monthly averages priced in the relevant contracts. CME’s description of Fed Funds futures sets out both the 100-minus-price convention and the final-settlement basis.
How FedWatch turns monthly pricing into meeting probabilities
CME’s methodology converts changes implied by futures pricing into probabilities by using simplifying assumptions. It assumes policy moves occur in 25-basis-point increments and that EFFR responds proportionally to changes in the target rate.
Those assumptions allow the tool to map an implied EFFR change into discrete policy possibilities. Rather than presenting a single fractional outcome, FedWatch can assign estimated probabilities across possible target-range results at an individual meeting.
The traditional calculation uses a probability tree. It first derives probabilities for individual meetings from the relevant monthly futures contracts, then combines successive meeting outcomes to calculate cumulative probabilities for rate levels further into the future.
A simplified sequence helps illustrate the distinction. For the next meeting, the market may price a range of possible outcomes. For a later meeting, the result depends not only on what happens then, but also on the path taken at the earlier meeting. The probability-tree approach combines those branches to show the possible cumulative rate levels by the later date.
This is also why a probability shown for a distant meeting should not be read as a stand-alone judgment on that meeting alone. It incorporates the path of possible intervening decisions under the model. CME describes the 25-basis-point and proportional-response assumptions, as well as the probability-tree framework, in its FedWatch methodology overview.
Aggregated versus conditional probabilities
FedWatch offers views that answer related but different questions. Confusing them can lead readers to mistake a cumulative expected path for the implied move at one particular meeting.
The aggregated view measures the total number of hikes or cuts priced relative to the current target range. It is designed to show how far above or below the current setting the market has priced a future policy level.
The conditional view is meeting-specific. It estimates the move at a meeting relative to the rate implied by the preceding contract month. Put simply, it focuses on the increment associated with that decision rather than the total change from today’s target range.
Suppose a future date displays an outcome that is lower than the current range. In an aggregated reading, that reflects the total easing priced between the current point and that date. In a conditional reading, the displayed move for a particular meeting is assessed against the rate implied immediately before it. CME explains this distinction in its note on the aggregated FedWatch view.
Neither display is inherently more authoritative. They are different ways of organizing the same broad task: translating futures-market pricing into an expected sequence of potential FOMC outcomes.
CME educational visual introducing the FedWatch Tool and its use of Fed Funds futures to assess market expectations for FOMC rate moves. — Source: CME Group
How to use FedWatch without treating it as a Fed forecast
FedWatch can be a useful shorthand for what is priced in the Fed Funds futures market at a particular moment. It is especially helpful when readers want to see whether pricing has shifted toward a hold, a hike or a cut, and how that shift extends across several meetings.
The percentages are estimates of futures-market pricing, not literal or objective odds that the FOMC will make a specific decision. That pricing may reflect risk premia, hedging demand, liquidity effects and expectation errors. In addition, the conversion rests on methodological assumptions, including CME’s use of discrete 25-basis-point policy increments.
The Bank for International Settlements has noted the broader limitation in extracting expectations from market prices: prices can include compensation for risk and other market effects, rather than pure expectations alone. That does not make FedWatch uninformative; it means the estimates describe pricing, not certainty.
A practical reading starts with the date and the view being displayed. Next, distinguish the probability of a move at one meeting from the cumulative policy level priced for a later meeting. Finally, compare changes over time as changes in market pricing, while keeping the underlying futures contract and the tool’s assumptions in view.
FedWatch is therefore a translation tool. It turns prices tied to the monthly average EFFR into a standardized, meeting-by-meeting presentation of possible FOMC outcomes. The input is a futures market; the output is an estimate of what that market implies.
Frequently Asked Questions
Does the FedWatch Tool predict what the Federal Reserve will do?
No. It estimates probabilities implied by 30-Day Federal Funds futures prices. Those prices can reflect market expectations as well as risk premia, hedging, liquidity conditions and other influences.
What futures contract does FedWatch use?
FedWatch uses 30-Day Federal Funds futures. These contracts are quoted as 100 minus the expected average effective federal funds rate for the contract month and settle using the arithmetic average of daily EFFR observations.
Why do FedWatch probabilities change?
The figures change when the prices of the underlying futures contracts change. Since the tool derives its estimates from market pricing, new trading conditions can alter the implied distribution of rate outcomes.
What is the difference between aggregated and conditional FedWatch views?
Aggregated probabilities show total hikes or cuts relative to the current target range. Conditional probabilities focus on the move at a specified meeting relative to the rate implied by the preceding contract month.
What does a FedWatch probability of a rate move mean?
It represents CME’s model-based estimate of the outcome implied by Fed Funds futures pricing under its assumptions, including 25-basis-point policy increments and a proportional EFFR response to target-rate changes.
Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

Counter-Strike 2 betting follows the structure of the game. Two teams compete across maps, each map consists of individual rounds, and every round creates measurable outcomes ranging from the winner to kills, bomb plants and pistol-round results.
That gives sportsbooks several layers on which to build markets. Bettors can predict the winner of an entire CS2 series, an individual map or a particular round. More detailed markets cover round handicaps, total rounds, player kills, headshots and pistol rounds.
Web3 sportsbooks apply the same basic betting structure while allowing accounts to be funded with assets such as Bitcoin, Ethereum and USDT. Dexsport is one example. Its esports rules specifically cover Counter-Strike, and the platform has expanded its involvement in the game through a partnership with OG Esports.
Before comparing these markets, it helps to understand how a competitive CS2 match works.
How competitive Counter-Strike 2 works
A CS2 match is played between two teams of five. One side begins as Terrorists and the other as Counter-Terrorists. The teams switch sides during the map.
The Terrorist side can win a round by eliminating the opposing team or successfully detonating the bomb. Counter-Terrorists can win by eliminating the Terrorists, defusing a planted bomb or preventing the Terrorists from completing their objective before the round timer expires.
Competitive CS2 uses an MR12 format. A regulation half consists of up to 12 rounds, and the first team to reach 13 rounds wins the map under normal circumstances.
A close regulation map can therefore finish 13:11. If it reaches 12:12, tournament rules can send the map into overtime. Dexsport's current Counter-Strike rules state that winning at least 13 rounds normally secures a map and describe overtime being used at 12:12.
Matches are then constructed from one or more maps.
Common formats include:
Bo1: one map determines the match.
Bo3: the first team to win two maps wins the match.
Bo5: the first team to win three maps wins the match.
The format changes the nature of the bet. A Bo1 leaves little room to recover from a poor map. A Bo3 requires teams to compete across a broader portion of their map pool. A Bo5 tests that depth further.
Why the map pool matters in CS2 betting
CS2 teams do not play every competitive map equally well.
The active competitive pool changes over time, and professional teams develop preferences within it. Recent major events illustrate the current structure. BLAST Premier Open Rotterdam 2026, for example, used Inferno, Dust 2, Anubis, Mirage, Nuke, Ancient and Overpass.
Before a series, teams go through a veto process that determines which maps are removed and which will be played.
This makes the map veto one of the most useful pieces of information available to a CS2 bettor.
A team can be the stronger roster overall while entering a particular match with an unfavourable map matchup. Conversely, an underdog that reaches one of its strongest maps can be considerably more competitive than the pre-match moneyline suggests.
The deeper the betting market, the more important this becomes. Match winner requires an assessment of the complete series. A Map 1 round handicap requires a much narrower assessment of one team against another on one specific map.
1. CS2 match winner
The match winner, often called the moneyline, is the basic CS2 market.
The bettor selects which team will win the complete series.
Suppose Team A beats Team B:
Map 1: 13-8 Team AMap 2: 9-13 Team BMap 3: 13-10 Team A
Team A wins the series 2-1, so a Team A match-winner bet succeeds.
The individual round scores do not affect settlement of the basic moneyline. Only the series result matters.
The match format should always be checked before comparing odds. Predicting the winner of a Bo1 differs considerably from predicting a Bo3 because a longer series incorporates more of each team's map pool.
2. Map winner
A map-winner bet isolates one part of the series.
For example:
Map 1 winner: Team B
The wager wins if Team B takes the first map, even if Team B subsequently loses the complete series 1-2.
Map markets are particularly useful in CS2 because team performance varies substantially by map.
Recent win rate, opponent quality and side performance can all be relevant. The veto provides further context because it shows how the map entered the series.
A team's own selection may indicate confidence, although that alone does not make it the favourite. The opponent has access to the same veto information and may have deliberately allowed that map through.
3. Map handicap
A map handicap applies an artificial advantage or disadvantage to the final series score.
Consider a Bo3:
Team A -1.5 maps
Team A needs to win 2-0 for this wager to succeed.
If Team A wins 2-1, it wins the match but fails to cover the -1.5 handicap.
The opposite position could be:
Team B +1.5 maps
This bet wins if Team B takes at least one map or wins the series outright.
Map handicaps therefore require a more precise prediction than the moneyline. Instead of asking who wins, the bettor is estimating the margin of victory across the series.
Dexsport's published market definitions include handicaps expressed through maps and correct map scores such as 2-0.
4. Correct map score
Correct-score markets require the bettor to predict the exact series result.
In a Bo3, the main possibilities are:
Selection
Required outcome
Team A 2-0
Team A wins both maps
Team A 2-1
Team A wins after losing one map
Team B 2-0
Team B wins both maps
Team B 2-1
Team B wins after losing one map
Correct-score odds are normally longer than the standard moneyline because the bettor must predict both the winner and the shape of the series.
Map-pool analysis becomes particularly useful here. A bettor considering Team A 2-1 needs to identify where Team B is realistically capable of winning its map.
5. Total maps
Instead of predicting the winner, bettors can wager on how many maps will be required to complete the series.
In a Bo3, a sportsbook could offer:
Over 2.5 maps
The match must reach the third map.
Under 2.5 maps
The series must finish 2-0.
This market can suit situations where the teams appear evenly matched but selecting the eventual winner is difficult.
Some sportsbooks also offer odd/even map totals. Dexsport's published market rules define both total maps and odd/even total-map markets.
6. Round handicap
CS2 betting becomes considerably more granular at the individual-map level.
A round handicap adjusts the map score.
Suppose Team A is offered at:
Team A -3.5 rounds
If Team A wins 13-8, the bet covers because its five-round winning margin exceeds the handicap.
If Team A wins 13-11, the moneyline succeeds but the -3.5 round handicap loses.
Positive handicaps work in the opposite direction.
Team B +4.5 rounds can win even if Team B loses the map, provided its adjusted score beats the opponent's.
Round handicaps therefore allow bettors to express how competitive they expect a map to be rather than simply predicting its winner.
Sportsbook market rules commonly define these wagers as an advantage or disadvantage expressed in rounds.
7. Total rounds
Total-round markets are one of the most natural products of the MR12 format.
The sportsbook establishes a line and the bettor chooses whether the map will contain more or fewer rounds.
For example:
Over 21.5 rounds
A 13-9 result contains 22 regulation rounds, so the over wins.
Under 21.5 rounds
A 13-7 result contains 20 rounds, so the under wins.
Totals therefore measure competitiveness rather than the identity of the winner.
A closely matched map is more likely to approach 12:12, while a dominant performance can produce a much lower round count.
Sportsbooks can also offer team-specific totals, asking how many rounds one team will win on a particular map. More specialized markets separate Terrorist and Counter-Terrorist round totals.
8. Pistol round winner
Each regulation half begins with a pistol round, creating another recognizable CS2 betting market.
A sportsbook can offer the winner of the first pistol round, second pistol round or both pistol rounds.
Pistol rounds have additional strategic importance because teams start with limited equipment and the result influences the economy available for subsequent rounds.
A pistol win can give a team an early economic advantage. The losing side must decide whether to spend limited resources immediately or conserve money for a stronger purchase later.
This creates markets such as:
Map 1 first pistol round winner
Team to win both pistol rounds
Correct pistol-round score
Sportsbook rules also support combinations such as winning the first pistol round and winning the complete map.
A pistol-round bet should still be treated as a narrow proposition. A team can lose both pistols and win the map because gun rounds and later economic cycles account for most of the contest.
9. Player kill markets
Player props move the wager from team performance to individual statistics.
One common market is:
Player X total kills: Over/Under 17.5
Settlement depends on how many kills the specified player records on the relevant map or series, according to the sportsbook's market definition.
Sportsbooks can go further with player-versus-player kill markets. Two players are compared and the bettor predicts who records more kills.
Other possible CS2 player markets include total headshots and kill handicaps between players. Current CS2 sportsbook listings show player props covering kills and headshots, while detailed market specifications also define player kill totals and player kill duels.
These markets require information that a standard match-winner analysis may not capture.
A player's role matters. An aggressive entry player, AWPer and support player can contribute to a team in different ways while producing different kill distributions.
Expected map length matters as well. A player has more opportunities to accumulate kills in a 24-round regulation map or overtime than in a 13-4 defeat.
10. Headshot and specialist kill markets
Some sportsbooks offer markets below the basic kill level.
These can include:
total headshots;
odd/even kills;
first kill of a round;
double or triple kill in a specified round;
whether an ace occurs;
grenade kills.
An ace means one player eliminates all five opponents during the round.
Detailed sportsbook specifications even define markets for HE grenade, incendiary grenade and Zeus x27 kills.
Availability is much less consistent than match, map and round markets. These props are more likely to appear when a sportsbook has detailed real-time data coverage for the event.
11. Bomb markets
The objective system creates another category of CS2 bets.
Sportsbooks can track rounds ending through bomb explosions and other bomb-related events. One documented market, for example, asks bettors to predict the total number of rounds on a map that finish with the bomb exploding.
These markets require more than a prediction of which team is stronger.
Map tendencies, Terrorist-side success, site-retake ability and team style can all affect the frequency of bomb plants and detonations.
They are therefore better understood as specialist statistical props rather than substitutes for the basic match-winner market.
12. Will the map go to overtime?
The MR12 structure creates a clear overtime threshold.
If regulation reaches 12:12 and the tournament requires a winner, additional rounds can be played.
That supports markets predicting whether overtime will occur.
A bettor backing Yes is effectively predicting that neither team will establish a regulation advantage sufficient to reach 13 wins before the score reaches 12:12.
The sportsbook's settlement rules need particular attention here because treatment of overtime varies between markets.
Dexsport's current Counter-Strike rules state that markets can be offered both with and without overtime. Its rules specify that markets are without overtime by default unless the market name explicitly says that overtime is included.
That distinction can change the result of totals and handicaps, so the market label should be checked before the bet is placed.
13. First-half and side-specific markets
CS2's side switch creates additional betting possibilities.
Sportsbooks can offer a winner for the first half, correct first-half score, first-half round handicap and second-half equivalents.
Under MR12, the second half begins with Round 13.
Some markets go further by separating team performance as Terrorists and Counter-Terrorists. For example, a bettor may be able to wager on how many rounds a team wins while playing CT.
These markets can be useful when teams have pronounced side-specific strengths.
They also require careful interpretation. A team's starting side depends on the tournament and map-selection procedure, so historical CT and T performance should be placed in the context of the actual map being played.
14. Live CS2 betting
CS2 creates frequent opportunities for live repricing.
Odds can move after rounds, pistol results, economic swings and completed maps.
The current score alone does not describe the state of a CS2 map.
Consider a team trailing 4-7. One side may have a full rifle buy with utility while its opponent has just exhausted its economy. A single round can force the leading team onto weaker equipment and change the next several rounds.
The side switch can also alter the matchup.
Live bettors therefore need to follow the score, team economy, equipment, side, map and series situation simultaneously.
Crypto sportsbooks including Dexsport provide live esports wagering alongside pre-match markets. Dexsport's rules explicitly account for map, round and match settlement across esports series.
Betting on CS2 with crypto at Dexsport
Dexsport has a direct connection to the current Counter-Strike ecosystem.
The sportsbook covers CS2 and publishes dedicated Counter-Strike settlement rules. In 2026, Dexsport also became the official Web3 betting partner and headline sponsor of OG Esports' CS2 roster, which competes under the OG.Dexsport name.
The platform combines esports betting with crypto deposits and withdrawals. Dexsport's supplied platform information lists Bitcoin, Ethereum, USDT, BNB and TRON among its principal supported cryptocurrencies and describes support across numerous blockchain networks.
For CS2 bettors, the more relevant feature is market depth. Dexsport's published esports materials describe markets covering match and map winners, map handicaps, correct scores, totals and other outcomes. Its own CS2 betting guide specifically discusses moneylines, map winners, round totals, handicaps and pistol-round markets.
Its settlement rules deserve attention before betting.
Dexsport states that Counter-Strike markets may be offered with or without overtime. Its current terms also explain how technical defeats, disqualifications, interrupted maps, match-format changes and major roster changes can affect settlement.
For example, if the planned number of maps changes, Dexsport's rules state that map markets can be settled accordingly while affected match markets, including match winner, exact score, map handicaps and totals, can be voided. A roster change involving more than 50% of the team after a match has been listed can also give the sportsbook the right to void bets.
Those provisions are particularly relevant in esports, where substitutions and tournament format changes occur more frequently than in many traditional sports.
What to check before betting on CS2
Start with the match format. A Bo1, Bo3 and Bo5 require different assessments of map depth.
Then check the map veto. Team-level statistics become considerably more useful once the actual maps are known.
For map markets, compare recent results on the selected map rather than relying entirely on overall team form. Opponent quality and sample size should also be considered.
For round and kill markets, determine whether overtime is included. The answer affects the maximum number of rounds and the opportunities players have to accumulate kills.
For player props, check the current roster. Roles, substitutions and recent lineup changes can materially change individual statistics.
Finally, read the sportsbook's settlement rules. Technical defeats, abandoned maps, substitutions, overtime and format changes can all affect whether a wager is settled normally or voided.
Which CS2 betting market is easiest for beginners?
Match winner is the simplest starting point because it requires the fewest predictions. The bettor chooses which team will win the complete series.
Map winner requires knowledge of the map pool.
Map handicaps and correct scores require an assessment of the likely margin.
Round totals and handicaps demand a more detailed prediction of an individual map.
Player kills, headshots, pistol rounds and other props introduce additional variables.
The most detailed market is therefore not automatically the most useful one. A bettor who has researched team form and map pools but has little information about individual players may have a stronger basis for a match or map wager than a player-kill prop.
Final thoughts
Counter-Strike 2 supports one of the deepest betting structures in esports because the game produces results at several levels.
There is a winner for the series, each map and every round. Maps generate round totals and handicaps. Players generate kills and headshots. The economy, pistol rounds, bomb objective and CT/T side structure create further measurable events.
Crypto sportsbooks such as Dexsport package these markets with cryptocurrency payments and live esports betting. Dexsport's direct involvement with OG's CS2 roster also gives the platform a visible presence within the competitive Counter-Strike ecosystem.
For bettors, the underlying analytical sequence remains straightforward: identify the match format, study the map pool and veto, understand the exact market being priced, determine whether overtime counts and check the sportsbook's settlement rules.
FAQ
Can you bet on CS2 with Bitcoin?
Yes. Crypto sportsbooks offer Counter-Strike markets while accepting digital assets. Dexsport supports CS2 betting and accepts cryptocurrencies including Bitcoin, Ethereum and USDT.
What is a CS2 map handicap?
A map handicap applies a virtual advantage or disadvantage to the series score. In a Bo3, a favourite priced at -1.5 maps must win 2-0 for the bet to succeed.
What is a CS2 round handicap?
A round handicap applies to the score within a map. A team at -3.5 rounds must finish sufficiently far ahead for its score to cover the handicap.
What does Over 21.5 rounds mean in CS2?
It means at least 22 rounds must be played for the over to win, subject to the sportsbook's overtime settlement rules. A 13-9 regulation result contains 22 rounds.
How many rounds are needed to win a CS2 map?
Under the standard MR12 structure, a team normally needs 13 regulation rounds. A 12-12 score can lead to overtime when the competition requires a winner.
Can you bet on pistol rounds in CS2?
Yes. Depending on the sportsbook and event, markets can cover the first pistol round, second pistol round, both pistol rounds and related combinations.
Can you bet on CS2 player kills?
Yes. Player props can include total kills, headshots and head-to-head kill comparisons. Availability depends on the event and sportsbook.
Does overtime count in CS2 bets?
It depends on the market and sportsbook rules. Dexsport states that Counter-Strike markets can be offered with or without overtime and that overtime must be explicitly included where applicable.
Can you bet on individual CS2 maps?
Yes. Map winner, map round handicap, total rounds and player props are among the markets that sportsbooks can offer for individual maps.
What should you check before betting on a CS2 match?
Check the series format, map veto, recent map-specific performance, roster, starting sides where relevant, and whether overtime is included in the selected market. The sportsbook's rules should also be checked for technical defeats, substitutions and interrupted matches.


Disclaimer: The information here is provided for general purposes only and is not legal, tax, investment, or financial advice. Nothing here is guidance on avoiding verification, reporting or tax obligations, all of which apply regardless of the asset used. Exchange listings, platform coin support, and regulations change frequently, so confirm current details before transferring. Betting carries risk, and rules vary by country, so check the law where you live. Please gamble responsibly, within your means, and only if you are of legal age.