BITZ0

London, London, September 1st, 2026, Chainwire
ALKEMYA METACORE SCSp SECURES INITIAL USD 50 MILLION INVESTMENT AHEAD OF LISTING OF TOKENISED EQUITY NICKEL OFFERING
Alkemya Luxembourg S.à.r.l. (“Alkemya”), the sponsor, is pleased to announce that Alkemya Metacore SCSp has secured USD 50 million in a pre-launch capital raise for its precision industrial nickel wire business backed by Class 1 nickel wire. It is announcing the sale of additional ALKN tokens in a new tranche (the “Token”) at USD 1.0 per Token.
The offer, which is being arranged by Hanover Square Capital (UK) Ltd, will take place on Bitfinex Securities. The offer is available to institutional and professional investors and will close on 15 October 2026.
The Tokens are issued by Alkemya Metacore SCSp (“Alkemya Metacore”), a special limited partnership based in Luxembourg, which is registered as an Issuer with CNAD (National Commission of Digital Assets) in El Salvador.
Alkemya Metacore is a Luxembourg-based investment and operating platform focused on the industrial development, commercialisation, and financial structuring of high-technology metals. It owns approximately 7 million metres of 99.99% ultra-pure nickel wire with 0.025 mm diameter, which has been independently verified and valued at approximately USD 1.64 billion. The asset is held in institutional custody in Lugano, Switzerland.
Alkemya will use part of the initial capital raise and further funds raised in additional tranches to invest working capital in Alkemya Metacore to finance its commercialisation strategy of transforming its ultra-pure wire into engineered mesh products tailored to high-growth applications across seven sectors: EMI shielding, aerospace and defence, marine and desalination, power and industrials, semiconductors, green hydrogen and rare/precious metals recovery.
The successful capital raise, before secondary market listing, represents a major milestone for the offering and demonstrates confidence in the underlying exposure to high-purity nickel and the structure of the issue. The Token affords investors a combination of an asset-backed investment and a thematic play on energy transition and electronic security technologies.
The listing on Bitfinex Securities of the Token will enable Alkemya to leverage tokenisation to access a wider pool of global investors and be part of a regulated, 24/7 trading venue.
The Tokens aim to provide long-term investment value linked to real-world applications and technology.
Cash distributions will be governed by a strict waterfall that first returns investor capital in full, cumulative distributions equal to a 6% per annum compound interest calculated annually (i.e., the preferred return) on the investor capital at any time outstanding, from the date of payment of the same up to the date of final repayment of the invested capital and an additional 80/20 profit split with a carry partner in favour of Token holders from the commercial business.
Carlo Guido Della Peruta, Manager of the General Partner of Alkemya Metacore, commented: "Securing this initial investment is a significant milestone for Alkemya and validates both the quality of our asset and the strength of our commercialisation strategy. We chose to list on Bitfinex Securities because tokenisation offers us access to a genuinely global investor base within a regulated framework, and because it reflects the innovative approach we are taking across all aspects of our business. This raise will allow us to begin transforming our nickel wire asset into high-value engineered products serving some of the fastest-growing sectors in the global economy, and we look forward to welcoming further investors as the listing progresses."
Jesse Knutson, Head of Operations at Bitfinex Securities, commented: “Bitfinex Securities exists to connect exciting investment opportunities with a broader and deeper investor base, giving more people access to investments that were previously out of reach and giving businesses access to a wider pool of capital. Alkemya Metacore will represent yet another example of how we’re using blockchain technology to bring previously inaccessible asset classes to market within stringent regulatory guardrails, and Alkemya’s initial $50 million capital raise is a sign of appetite for this exciting opportunity.”
Arvinder Sood, CEO and Director at Hanover Square Capital (UK) Ltd, said: "Hanover Square Capital is delighted to announce this transaction in collaboration with Bitfinex Securities and its successful pre-launch close of USD 50 million investment, which not only underscores the evolving direction of global capital markets but also establishes a compelling foundation for a groundbreaking transaction with the launch of ALKN tokens. This milestone reflects a broader structural shift in how financial assets are created, accessed, and exchanged, as traditional frameworks increasingly converge with digital innovation. By embracing tokenised equity, the transaction highlights a more efficient, transparent, and accessible model for capital formation, one that is better aligned with the demands of modern investors and issuers alike, with the capacity to trade on a peer-to-peer basis.
Hanover Square Capital believes that this transaction not only validates that trajectory but also signals the growing importance of blockchain-enabled solutions in redefining how assets are issued, managed, and traded on a global scale."
Bitfinex Securities provides a regulated venue for the issuance and trading of tokenised securities, combining blockchain technology with regulated market access for issuers and eligible investors.
The offering was advised by the following law firms: CMS DeBacker in Luxembourg (as regards Luxembourg law aspects), Dentons El Salvador (as regards El Salvador law aspects), Foley and Lardner in the US (as regards US law aspects), and CNPLaw LLP in Singapore (as regards Singapore law aspects). Winston Taylor acted for Bitfinex Securities. The Edison Group advised on investor relations and issued a pre-IPO research note. The ALKN tokens will be available for trading across three regulated exchanges: Bitfinex Securities, AGX (operated by LabyrinthX Technologies Pte Ltd, a company in the Hydra X group) and Archax Ltd. HydraX Digital Assets Pte. Ltd. is the custodian and distribution partner in Asia, with Archax playing a similar role in the UK. Scytale, the technology firm, is providing onboarding technology services for compliance to Alkemya Metacore under Luxembourg and EU law.
About Hanover
Hanover Square Capital (UK) Ltd (“HSC”) is an independent, regulated advisory firm headquartered in London, comprising a small team of highly experienced finance professionals. The firm provides strategic advice across a broad range of areas, including energy transition and climate-related solutions, public and private debt and equity placements, bank financing, and both project and commodity finance, alongside advisory services on financial investments. HSC brings deep sector expertise spanning environment-related projects, infrastructure development, next-generation technologies with applications to electromagnetic shielding and efficient green energy production, with a particular emphasis on sustainability and the global energy transition.
As a member of the UK Sustainable Investment and Finance Association (UKSIF), the firm is closely aligned with leading sustainability practices. Its client base is global, encompassing large and mid-cap corporations, government and state agencies, selected institutional investors, and professional investors. HSC is further supported by its connected company, Hanover Square Investments Pte. Ltd, based in Singapore.
About Bitfinex Securities
Bitfinex Securities provides a regulated platform for the issuance, listing and trading of tokenised securities. Licensed in El Salvador and Kazakhstan, Bitfinex Securities gives issuers and eligible investors access to digital securities markets within established regulatory frameworks.
The platform supports capital raising and secondary market trading for tokenised securities, including real-world asset-linked opportunities. By combining market infrastructure, technology and regulatory oversight, Bitfinex Securities aims to make capital formation more efficient, transparent and accessible for issuers and investors.
Media Contact:
Richard Morgan Evans
rmorganevans@sapiencecomms.co.uk
Jonathan Batchelor
jbatchelor@sapiencecomms.co.uk
Sapience Communications
+44 (0) 203 841 7610
Disclaimer:
No offering is being made in the European Union or the European Economic Area, and no retail investors within the meaning of Directive 2014/65/EU (as amended, “MiFID II”) will be admitted as purchasers of the ALKN Tokens. The ALKN Tokens are also exempt from the obligation to publish a prospectus for offers to the public under Regulation (EU) 2017/1129, as amended (the "Prospectus Regulation"), as the offering will only be addressed to qualified investors in the EEA/EU. The offering is limited to institutional investors in Singapore. This news release does not constitute an offer to sell or a solicitation of an offer to buy, nor shall there be any sale of any of the ALKN Tokens in any jurisdiction in which such offer, solicitation or sale would be unlawful. These securities have not been and will not be registered under the US Securities Act of 1933, as amended (the "Securities Act"), the securities laws of any U.S. state or the securities laws of any other jurisdiction outside El Salvador, nor is such registration contemplated. The ALKN Tokens will only be offered and sold outside the United States (as defined in Regulation S under the Securities Act (“Regulation S”)) in offshore transactions pursuant to Rule 903 or Rule 904 of Regulation S and in accordance with any other applicable securities laws where such offers and sales are made. The ALKN Tokens have not been and will not be offered or sold within the United States.
Forward-Looking Statements: Information outlined in this news release may involve forward-looking statements under applicable securities laws. The forward-looking statements contained herein are expressly qualified in their entirety by this cautionary statement. The forward-looking statements included in this document are made as of the date of this document, and Alkemya Metacore and Alkemya disclaim any intention or obligation to update or revise any forward-looking statements, whether because of new information, future events or otherwise, except as expressly required by applicable securities legislation. Although management believes that the expectations represented in such forward-looking statements are reasonable, there can be no assurance that such expectations will prove to be correct.
Notice: None of Bitfinex Securities, Archax Ltd or the Hydra X group accepts responsibility for the adequacy or accuracy of this news release.
Since this offering is not targeting US investors as it is made under Regulation S and similarly it is not targeting EU retail investors under the EU Directive 2014/65/EU (as amended, “MiFID II”) or non-institutional investors in Singapore, this announcement is not intended for US investors, retail investors in the EU or non-institutional investors in Singapore. US investors, EU retail investors and non-institutional investors in Singapore are considered prohibited investors under the ALKN Token offering.
ContactJonathan BatchelorSapiencejbatchelor@sapiencecomms.co.uk
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.

Investors historically earned, or expect to earn, an extra return for owning stocks instead of relatively safer fixed-income assets such as government bills or bonds. Known as the equity risk premium (ERP), it compensates them for the uncertainty of equity ownership, including the possibility that share prices can fall sharply, dividends can change and the return ultimately received is not contractual.
In practice, the ERP is also a valuation tool. It helps investors, analysts and companies form a required return on equity and estimate a cost of equity. The essential question is straightforward: after allowing for what a comparatively low-risk bond offers, how much additional return does the stock market appear to offer for taking equity risk? The CFA Institute describes the premium as the historical or expected excess return of equities over fixed-income assets.
Equity risk premium: the excess return investors demand from stocks
“Premium” can sound like an observable interest rate, but the ERP is not a single rate printed on a market screen. It is an estimate. That distinction matters because the estimate can be backward-looking, based on returns that have already occurred, or forward-looking, based on prices and expectations today.
A historical ERP asks how much stocks returned above bonds or bills over a selected past period. It can offer perspective on the long-run reward investors have received for bearing equity risk. But its result depends on choices including the start and end dates, the equity market used, the fixed-income benchmark and whether returns are measured arithmetically or geometrically. Past returns are evidence, not a contractual promise about the future.
An expected ERP instead asks what return investors require or appear to be pricing into equities now. This is the version commonly used in a required-return framework. In simplified form:
Required return on equity = risk-free rate + equity risk premium
The equation is a framework rather than a guarantee of performance. A company or index may face risks beyond those reflected in a broad market measure, and different valuation methods may make further adjustments. Still, it captures the basic economic logic: investors generally require a higher expected return from a residual claim on a business than from a benchmark government bond.
Why a low premium can make stocks expensive relative to bonds
Stocks can look expensive relative to bonds when the expected extra return for owning them becomes small. One practical forward-looking comparison starts with the S&P 500’s forward earnings yield and subtracts the expected real yield on a 10-year Treasury. The Federal Reserve Board has used that spread as a practical measure of expected equity risk premium and relative stock-bond valuation.
A narrowing spread means investors are receiving less expected compensation, by this measure, for holding equities rather than long-term Treasuries. That can be consistent with richer equity valuations, greater risk appetite, or both. It does not establish that a market decline is imminent. Rather, it says the valuation cushion relative to the selected bond benchmark has become thinner.
The comparison is relative, not absolute. A stock market can have a positive expected return while still appearing less attractive against bonds than it did earlier. Conversely, bond yields can fall enough to widen the spread even if share prices have not declined. Looking only at an index level or only at a Treasury yield misses the relationship between the two.
There is also an important difference between an earnings yield and a bond yield. A Treasury yield is tied to specified payments and repayment terms, subject to interest-rate and inflation effects and, for non-government issuers, credit risk. Equity earnings are neither a coupon nor cash automatically paid to shareholders. They are a starting point for estimating the cash flows a business may generate over time.
From stock prices to earnings yield to the stock-bond spread
The mechanics are easier to see by reversing the familiar price-to-earnings ratio. Earnings yield is earnings divided by price. If an index trades at 20 times expected earnings, its forward earnings yield is 1 divided by 20, or 5%. The reciprocal relationship is useful because it puts an equity valuation measure into percentage terms that can be compared with a bond yield.
A basic sequence is:
Obtain a forward price-to-earnings ratio for the equity index.
Convert it to a forward earnings yield by dividing 1 by the P/E ratio.
Select a long-term Treasury benchmark and determine whether the comparison uses a nominal or expected real yield.
Subtract the Treasury yield from the earnings yield to obtain a simple stock-bond spread.
For illustration only, suppose an index has a forward P/E of 25. Its forward earnings yield is 4%. If the relevant expected real 10-year Treasury yield is 2%, the simple spread is 2 percentage points. If the index price rises while expected earnings do not, the P/E rises, the earnings yield falls, and the spread narrows. If the Treasury yield rises with the earnings yield unchanged, the spread narrows as well.
That arithmetic makes clear why a shrinking spread does not have one cause. It may reflect higher stock prices, lower expected earnings, higher bond yields, or a combination. Interpretation requires checking which inputs moved and whether the earnings forecasts and Treasury-yield measure are comparable.
The 10-year U.S. Treasury is widely used because it is a long-term government-rate benchmark and has readily available history. The Federal Reserve Bank of St. Louis’ FRED series provides the 10-year Treasury constant-maturity yield at daily, weekly, monthly and annual frequencies. A nominal 10-year yield is not interchangeable with an expected real yield, however. A comparison should name the yield concept being used.
Implied ERP estimates reverse-engineer the market’s assumptions
The simple earnings-yield spread is a useful proxy, not a complete implied ERP model. ERP cannot be observed directly, so analysts estimate it through historical returns, investor surveys or valuation models. Each approach addresses a related but distinct question.
An implied ERP model begins with the current level of an equity index and assumptions about future cash flows. It then solves for the discount rate that makes the present value of those expected cash flows equal to today’s market price. Subtracting the relevant risk-free rate from that expected return produces the implied premium. Aswath Damodaran of NYU Stern describes this approach as solving for the premium consistent with the current index level and expected future equity cash flows.
This is sometimes called reverse-engineering market expectations. Rather than starting with a preferred premium and calculating a fair value, the analyst starts with the observed market value and asks what return assumption would justify it. The answer is conditional on the assumptions used for earnings, cash distributions, growth and the risk-free rate.
Damodaran’s U.S. estimates illustrate the broader mechanics: an expected S&P 500 return is compared with a dollar risk-free rate, with adjustments involving the U.S. default spread and mature-market risk premium. Those inputs show why an implied ERP should not be treated as a universal market fact. It is a model output built from explicit choices.
What the premium can and cannot tell an investor
ERP is useful when a decision requires a disciplined hurdle rate. An analyst valuing future business cash flows can use an equity risk premium as one component of the discount rate. A market observer can use a stock-bond spread to frame whether equities offer relatively more or less expected reward than a bond benchmark. Corporate-finance estimates of the cost of equity also commonly rely on the concept.
It is not a timing signal with a fixed trigger. A low implied premium or narrow earnings-yield spread may persist, widen because Treasury yields fall, or change because earnings expectations are revised. It does not say that every company is expensive, that every bond is attractive, or that an investor’s appropriate allocation can be inferred from a single number.
Most importantly, a smaller ERP does not make equities as safe as bonds. Stocks generally have greater volatility and greater potential for loss, while bonds typically provide more predictable contractual payments, though bondholders still face risks including issuer default and changing interest rates. The U.S. Securities and Exchange Commission’s Investor.gov distinguishes those characteristics of stocks and bonds.
The premium concerns expected compensation, not a conversion of one asset’s risk into another’s. An investor can conclude that the compensation available for equity risk appears slim and still recognize that the underlying risks of stocks and bonds remain fundamentally different.
Federal Reserve chart showing the spread between the S&P 500 forward earnings-to-price ratio and the expected 10-year real Treasury yield, a practical measure of expected equity risk premium and relative stock-versus-bond valuation. — Source: Federal Reserve Board
Why different ERP estimates can disagree
Disagreement among ERP estimates is normal because the methods do not use the same evidence or answer precisely the same question. A historical estimate summarizes a chosen period. A survey records respondents’ expectations. An implied estimate translates current prices and forecast cash flows into an expected return. None is automatically the definitive number.
Even two implied models can diverge materially. One may use different forecasts for aggregate earnings or cash returned to shareholders. Another may make different assumptions about long-run growth, the appropriate risk-free rate, default spreads or the mature-market premium. Small changes to a long-term assumption can alter the rate that equates present value with a market price.
The treatment of inflation is another source of confusion. A forward earnings yield may be compared with a nominal Treasury yield in one presentation and an expected real Treasury yield in another. Those measures serve different purposes. Mixing them without explanation can make a spread look more precise than it is.
For readers assessing a published ERP figure, the most useful questions are practical: Is it historical, surveyed or implied? What equity market and bond benchmark does it use? Are earnings and cash-flow assumptions forward-looking? Is the rate nominal or real? Clear answers turn an opaque percentage into a usable, appropriately limited valuation input.
Frequently Asked Questions
What is a good equity risk premium?
There is no single permanent “good” figure. The appropriate estimate depends on the method, market, bond benchmark, time horizon and assumptions about future cash flows and returns.
Is the equity risk premium the same as the S&P 500 earnings yield?
No. The earnings yield measures equity valuation. A simple stock-bond spread subtracts a Treasury yield from the earnings yield, whereas a fuller implied ERP model uses expected cash flows and current market prices to solve for an expected return.
Why does a higher Treasury yield pressure the stock-bond spread?
If the forward earnings yield is unchanged, a higher Treasury yield leaves less excess yield from equities over bonds. That narrows the comparison used as a proxy for expected equity compensation.
Can a negative stock-bond spread occur?
Yes. It can occur when the selected Treasury yield exceeds the index’s forward earnings yield. The result should be interpreted carefully because the two measures represent different claims and because the chosen rate and earnings forecasts matter.
Does a low ERP mean investors should sell stocks?
Not by itself. It is a valuation and required-return input, not a stand-alone instruction. Investment decisions also depend on objectives, time horizon, diversification, risk tolerance and the assumptions behind the estimate.
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 Mayer Multiple measures Bitcoin’s spot price against its 200-day simple moving average. The formula is straightforward: price divided by the 200-day moving average, or 200DMA. A result of 1.0 means spot price is exactly at that long-term average; a result above 1.0 means it is trading at a premium, and one below 1.0 means it is at a discount.
That simplicity makes the indicator useful for putting a Bitcoin price move into context without focusing on the dollar price alone. It does not, however, tell an investor where Bitcoin will trade next. The metric’s commonly cited bands are drawn from Bitcoin’s own historical behavior, and unusually high or low readings identify market regimes more readily than they identify exact turning points.
Mayer Multiple = Bitcoin spot price ÷ 200-day moving average
The Mayer Multiple has two inputs: Bitcoin’s current spot price and its 200-day simple moving average. The first is the market price at the point of observation. The second is an arithmetic average of the preceding 200 daily prices.
Dividing one by the other produces a ratio rather than a dollar figure. If Bitcoin is priced at the same level as its 200DMA, the calculation returns 1.0. A price that is 50% above the average returns 1.5; a price 20% below it returns 0.8.
The ratio can be read in plain terms:
Above 1.0: Bitcoin is above its 200-day average and trading at a premium to that baseline.
At 1.0: Bitcoin is trading in line with its 200-day average.
Below 1.0: Bitcoin is below the average and trading at a discount to it.
Neither a premium nor a discount is automatically good or bad. Bitcoin can remain above a long-term average during a sustained advance, just as it can remain below it through an extended drawdown. The Multiple describes the distance from a trend reference; it does not establish whether that distance must close immediately.
How a 200-day baseline turns price into a cycle-context ratio
A moving average smooths daily price fluctuations by rolling many observations into one reference level. In this case, the 200-day window is long enough that one sharp daily move has limited influence on the average itself. The spot price can change quickly, while the baseline generally adjusts more gradually as each new daily price enters the calculation and the oldest one drops out.
That difference is central to the Mayer Multiple. When spot price rises much faster than the 200DMA, the ratio increases. When price falls below the average, the ratio declines. The measure therefore expresses the gap from the longer-run baseline in relative terms.
Relative terms make different price eras easier to compare. A $10,000 move in Bitcoin has a very different meaning at a low price level than at a much higher one. A ratio instead asks how far spot sits above or below its prevailing 200-day trend. According to Glassnode’s description of the metric, it is best used as a long-horizon tool for cycle context rather than precise market timing.
The 200DMA is also not a fixed benchmark. If Bitcoin spends a prolonged period above it, the average rises over time. In a persistent decline, the average can fall. This means a Mayer Multiple reading reflects both today’s price and the path of prices over the prior 200 days.
What the 0.8, 2.4, 0.6 and 3.0 bands have historically signaled
Historical Mayer Multiple charts commonly use 0.8 and 2.4 as their principal reference bands. Readings above 2.4 have historically marked overheated conditions, while readings below 0.8 have coincided with severe bear-market drawdowns and capitulation-like conditions, according to Glassnode’s chart framework.
These are not symmetrical predictions of a peak or a bottom. A reading above 2.4 says that spot price is more than 2.4 times the 200DMA, a historically elevated relationship. A reading below 0.8 says that spot is less than 80% of the average, a historically depressed one. In each case, the label is about the relationship to trend and the historical regime associated with it.
Some versions of the framework also identify more unusual extremes at 3.0 on the upside and 0.6 on the downside. Those levels are used for rarer euphoric and capitulation regimes. Most of Bitcoin’s historical trading has occurred between the main 0.8 and 2.4 bands.
Reading or rangeRelationship to the 200DMAHistorical context Below 0.6Spot is less than 60% of the averageRare, deeper capitulation regime Below 0.8Spot is less than 80% of the averageSevere drawdown and capitulation-like conditions 1.0Spot equals the averageThe long-term baseline Above 2.4Spot exceeds 2.4 times the averageHistorically overheated conditions Above 3.0Spot exceeds three times the averageRarer euphoric regime
The bands are best understood as a historical map, not boundaries enforced by the market. Price can approach a band, cross it or retreat from it without producing the same outcome on every occasion. Their usefulness lies in flagging an unusual separation between price and its 200-day trend.
A practical Mayer Multiple reading sequence
Calculating the Multiple requires no specialist model. Start with the Bitcoin spot price and the current 200DMA drawn from the same price series. Divide the first figure by the second, then compare the result with 1.0 and the historical reference bands.
Consider a purely illustrative example. If Bitcoin spot price is $72,000 and its 200DMA is $60,000, the calculation is:
$72,000 ÷ $60,000 = 1.2
A reading of 1.2 means spot price is 20% above the 200-day average. It is above the baseline but well below the 2.4 historical overheating reference. On its own, that observation says nothing about whether the price will rise or fall in the next day, week or month.
A disciplined reading sequence separates calculation from interpretation:
Confirm the current spot price and the 200DMA.
Calculate price divided by the average.
Establish whether the result is above, at or below 1.0.
Locate it in relation to 0.8 and 2.4, with 0.6 and 3.0 reserved for rarer extremes.
Treat the result as evidence of the market’s distance from its long-term trend, rather than as an automatic instruction to buy or sell.
This sequence also helps avoid a common mistake: treating a number such as 1.2 as a universal valuation score. It is a trend-relative reading. The same ratio can occur at very different nominal Bitcoin prices because what matters is the relationship between price and the moving average.
Why the bands are not Bitcoin buy and sell signals
The Mayer Multiple’s most visible feature—its historical bands—is also its main limitation. The thresholds were calibrated from Bitcoin’s own past price data. They summarize where rare conditions have appeared historically, but they do not create a rule that prices must reverse upon reaching a particular level.
That distinction matters most at extremes. An elevated reading may describe an overheated market without identifying the final high, and a deeply depressed reading may describe severe stress without identifying the final low. In volatile markets, technical indicators can generate false signals, and historical performance does not guarantee future returns, as FINRA notes in its discussion of momentum investing.
The measure is backward-looking in two ways. The 200DMA is built from prior prices, and the interpretation of its bands is based on previous Bitcoin cycles. A rapid market change can move spot price before the slower-moving average has fully adjusted, which may be useful for identifying deviation but does not resolve what happens after that deviation appears.
It is also not a complete account of market conditions. The Multiple does not independently measure liquidity, market structure, custody conditions, regulatory developments or the behavior of individual holders. A reader should be wary of claims that a single ratio has found a guaranteed floor, ceiling or cycle timetable.
Using the Mayer Multiple alongside other Bitcoin risk evidence
Used appropriately, the Mayer Multiple is one input into a broader view of Bitcoin market risk. Glassnode recommends combining it with other market and on-chain indicators because no single metric offers a complete assessment of risk, according to its research on assessing risk in a Bitcoin bull market.
The practical question is not whether another indicator confirms a predetermined trade. It is whether separate evidence changes the interpretation of the price-to-trend ratio. A high Multiple, for example, describes an extended relationship between spot price and the 200DMA; other evidence may provide additional context, but it cannot remove uncertainty.
Market indicators also address only part of the risk involved in Bitcoin-related investments. The U.S. Securities and Exchange Commission’s Investor.gov warning highlights substantial risks including extreme volatility, exchange or custody failures, hacking and possible regulatory restrictions. None is captured by a moving-average ratio.
For that reason, the Mayer Multiple is most useful as a compact way to ask a limited question: how far is Bitcoin trading from its 200-day trend, and has that relationship historically been unusual? Its answer can frame further research, but it cannot substitute for it.
Frequently Asked Questions
What is the Bitcoin Mayer Multiple?
It is Bitcoin’s spot price divided by its 200-day simple moving average. The result shows the price as a multiple of that long-term average.
What does a Mayer Multiple of 1.0 mean?
Relative to the 200DMA, Bitcoin’s spot price is at the average at a 1.0 reading, at a premium above 1.0 and at a discount below 1.0.
Why are 0.8 and 2.4 watched?
These are historically used reference bands: readings below 0.8 have coincided with severe drawdowns and capitulation-like conditions, while readings above 2.4 have marked historically overheated conditions.
Does a high Mayer Multiple mean Bitcoin must fall?
No. A high figure identifies a historically unusual premium to the 200DMA, not a mandatory or immediate reversal point. Extreme conditions can persist.
How is the Mayer Multiple different from Bitcoin’s price?
Bitcoin’s price is a dollar value at a given time. The Mayer Multiple normalizes that price against the 200-day average, allowing the distance from trend to be compared across different price levels.
Can the Mayer Multiple be used by itself?
It should not be treated as a complete risk measure or a standalone trading signal. Other market evidence and non-market risks, including custody and regulatory exposure, remain relevant.
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 ISM Manufacturing PMI is a monthly diffusion measure that combines five equally weighted indexes—New Orders, Production, Employment, Supplier Deliveries and Inventories—to show whether activity is broadening or narrowing across U.S. manufacturing. Above 50 denotes expansion from the prior month; below 50 denotes contraction. The PMI is not, however, a direct measure of factory output, a percentage growth rate or an inflation rate.
Markets use the headline as a compact sector signal, while the components separate demand, hiring and input-cost conditions. The Prices Index shows the direction and breadth of manufacturers’ input-price changes, not their magnitude.
How the ISM Manufacturing PMI is calculated
The Institute for Supply Management asks respondents to compare conditions in the current month with the prior month. Its panel is stratified and weighted according to manufacturing industries’ contributions to GDP, an approach intended to make the survey reflect the industry’s composition rather than simply count every industry equally.
Each underlying measure is a diffusion index. The calculation is the share of respondents reporting improvement plus one-half of the share reporting no change. If, purely as an illustration, 40% report improvement, 30% report no change and 30% report deterioration, the diffusion index is 55: 40 plus half of 30. The number describes the balance of responses, rather than the amount by which conditions changed at any one company.
The headline PMI then gives equal weight to five component diffusion indexes: New Orders, Production, Employment, Supplier Deliveries and Inventories. ISM’s methodology establishes both the equal-weighted construction and the month-on-month comparison at the center of the survey.
Because it is a breadth measure, a move from 49 to 51 should not be read as a fixed amount of additional output. It says that the balance of reporting manufacturers shifted from contraction to expansion. Likewise, a higher number can reflect more widespread improvement without revealing the dollar value of orders or the physical volume produced.
The five headline components
The five inputs to the headline are equally weighted but not interchangeable: New Orders measures incoming demand, Production captures activity, Employment reflects manufacturing hiring conditions, and Supplier Deliveries and Inventories complete the composite. Reading them together can show whether an improvement is associated with demand, labor conditions or another part of the manufacturing cycle.
New Orders receives particular attention because it enters the headline directly and can provide an early directional signal for future manufacturing activity. Rising orders can point toward stronger future production, while declining orders may precede softer output, hiring and investment, according to an ISM explanation of the Report on Business.
New Orders remains a survey-based directional input, not a guarantee of the next official production or employment report. Production and Employment therefore provide important context: a headline gain led by orders may mean something different from one supported by other components. The useful reading is the pattern across the indexes, rather than treating one subindex as a mechanical explanation of every market move.
Thresholds beyond 50
The 50 line is the first threshold to know. Above 50 means manufacturing expanded from the prior month, while below 50 means it contracted. It is a sector-level, month-to-month breadth threshold—not a declaration that the whole U.S. economy is expanding or contracting.
ISM also identifies a different long-run benchmark: a Manufacturing PMI reading above 47.5 over time is generally associated with expansion in overall economic activity. That relationship helps explain why investors may not treat a sub-50 factory reading as synonymous with an economy-wide downturn. Manufacturing is important, but the PMI’s 50 threshold and its broader-economy benchmark answer different questions.
The Employment Index has its own historical reference point. It is a seasonally adjusted diffusion measure of manufacturing hiring conditions, and ISM says readings above 50.3 have generally been consistent over time with increases in Bureau of Labor Statistics manufacturing employment. That is a historical relationship, not a promise that a single month’s reading will be matched by the next official payroll data.
These separate cutoffs are best treated as interpretive tools rather than trading rules. The headline describes manufacturing breadth. The 47.5 relationship provides context for broader activity over time. Employment’s 50.3 marker relates specifically to the direction of manufacturing jobs in BLS data.
Reading Prices with demand and employment
The ISM Prices Index asks whether manufacturers are paying more or less for raw materials. Persistent readings above 50 indicate that input prices are rising across a broader share of respondents and can signal inflationary pressure. They do not state the magnitude of those price increases.
This is one of the most common PMI mistakes. A Prices reading of 70 does not mean input costs rose 70%, nor does a one-point move in the index equal a one-percentage-point change in inflation. It means the survey’s diffusion calculation registered a strong balance of reports pointing toward higher input prices.
Read alongside the rest of the report, High Prices can point to different conditions. With firm New Orders, they can be read as demand strength occurring with continuing cost pressure. With weaker orders and employment, they may still reflect broad input-price pressure, but that combination does not on its own establish that final demand is strengthening.
Employment adds another dimension. A rising Employment Index can indicate improving manufacturing hiring breadth, while a weak reading can qualify an upbeat headline. ISM’s report documentation describes both the Prices measure and the Employment Index’s historical link to manufacturing payroll direction, but neither index supplies a complete account of consumer inflation or total U.S. employment.
A release sequence in practice
ISM’s July 2026 report recorded a Manufacturing PMI of 55.6, New Orders of 56.7, Employment of 52.8 and Prices of 71.1.
Read as a sequence, the headline PMI above 50 indicated manufacturing expansion and New Orders above 50 reinforced the demand-side reading. Employment was above ISM’s 50.3 historical benchmark, a level consistent over time with increases in BLS manufacturing employment. Prices indicated continued breadth of higher raw-material costs. The combined picture was stronger demand and hiring alongside continued input-cost pressure.
The figures remain diffusion-index signals rather than complete measures. Prices at 71.1 did not measure the magnitude of raw-material price increases; the PMI did not quantify the precise increase in factory output; and it did not by itself settle the outlook for economy-wide inflation, output or payrolls.
What the PMI can—and cannot—signal
The PMI is closely watched in part because it arrives as a timely survey of manufacturing conditions. Federal Reserve research has identified the ISM manufacturing index as a leading indicator and used it in models of industrial production and economic cycles. For investors and economists, that makes it a useful early input before some slower-moving official measures are available.
Its usefulness rests on its design. Month-on-month questions and a diffusion calculation can show whether improvement or deterioration is becoming more widespread among manufacturers. The industry-weighted panel adds a structured view across manufacturing rather than relying on a single company or industry.
But breadth is not magnitude. The survey cannot tell a reader how much production rose, how much an individual firm’s orders changed or by how many dollars input costs increased. Nor should a single release be treated as a complete forecast of the economy, inflation or BLS employment data.
A disciplined reading starts with the headline’s direction, then checks whether New Orders support the demand story, whether Employment supports it on the labor side and whether Prices introduce a separate cost-pressure signal. That approach preserves what the PMI does well: it offers a timely map of changing manufacturing conditions, not a standalone verdict on every macroeconomic question.
Frequently Asked Questions
What does an ISM Manufacturing PMI above 50 mean?
It means manufacturing activity expanded compared with the prior month on ISM’s diffusion-index basis. It does not mean manufacturing output increased by 50% or that the overall economy necessarily expanded.
Why is 47.5 relevant for the ISM Manufacturing PMI?
ISM says a PMI above 47.5 over time is generally associated with expansion in overall economic activity. That is a longer-run economy-wide reference point, distinct from 50, which marks expansion or contraction within manufacturing.
Does a higher Prices Index mean inflation accelerated by the same amount?
No—the index is about direction and breadth, showing whether more manufacturers are reporting higher rather than lower raw-material prices, rather than measuring the size of price changes.
Why do markets focus on New Orders?
New Orders is part of the headline PMI and is a direct demand indicator. Broader improvement in orders can point toward future production, hiring and investment, though it is not a guarantee of those outcomes.
Does the ISM Employment Index predict official payroll data?
It is a seasonally adjusted measure of manufacturing hiring conditions. ISM notes that readings above 50.3 have generally aligned over time with increases in BLS manufacturing employment, but one monthly reading does not determine the official result.
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.

CME Bitcoin futures basis is the difference between a CME Bitcoin futures price and the Bitcoin spot price. Using the convention common in crypto markets, a futures price above spot is a positive basis, often called a premium or contango; a futures price below spot is a negative basis, or backwardation. It is a tradable spread, not a direct count of institutional buyers or a standalone forecast for Bitcoin.
That distinction matters because the spread can compensate traders for time, financing, custody, margin and execution costs. It can also attract arbitrage activity designed to narrow the gap. CME futures are cash-settled in U.S. dollars against a benchmark derived from spot-market activity, rather than by delivery of Bitcoin into a trader's account.
CME Bitcoin basis: the futures price minus the spot price
For this article, basis means:
Basis = CME futures price − Bitcoin spot price.
Under the futures-minus-spot convention, basis is the difference between the futures price and the spot price. If spot Bitcoin is quoted at $100,000 and a CME futures contract expiring in one month trades at $101,000, the basis is positive $1,000 and the contract carries a 1% premium. At $99,000, the basis is negative $1,000 and the market is in backwardation.
The sign convention must be stated explicitly. The U.S. Commodity Futures Trading Commission glossary defines basis as cash minus futures, the opposite of the futures-minus-spot convention often used in crypto-market discussion. The economics do not change, but switching conventions can reverse the meaning of a chart or calculation.
“CME premium” is shorthand for the positive difference between a particular CME futures contract and a selected spot price at a specific time, not a separate instrument. Any reading should identify both the expiry and the spot reference; contracts with different remaining lives should not be compared casually. Contango can reflect the economic cost of carrying exposure through time, while backwardation is not by itself a simple bearish signal. Futures pricing also reflects the balance of positions, funding conditions, hedging needs and the practical ability of market participants to arbitrage the spread.
What CME Bitcoin futures are priced against
CME Bitcoin futures are U.S.-dollar cash-settled contracts based on the CME CF Bitcoin Reference Rate, or BRR. According to CME Group, the BRR aggregates trading activity from major spot Bitcoin exchanges during a one-hour calculation window.
Cash settlement means a trader does not receive Bitcoin merely because a long futures position reaches expiry, nor does a short deliver coins. Instead, the contract is settled in dollars by reference to the benchmark. That is central to interpreting basis: the futures contract is linked to the underlying spot market through the settlement benchmark, but it is not identical to any single exchange's live Bitcoin quote before expiry.
A displayed spot price can vary across venues and can move continuously. The BRR, by contrast, uses its specified methodology and calculation period. As a result, a meaningful basis comparison should use a clearly defined spot reference and a futures quote captured at the same time. Comparing stale spot data with a live futures quote can create an apparent premium or discount that is mainly a timing mismatch.
At settlement, the remaining time value of the contract disappears and the futures price converges toward its settlement reference. Before then, the spread has time in which to reflect the costs and risks of maintaining equivalent exposure in spot and futures markets.
How a CME premium becomes a cash-and-carry trade
A positive basis can support cash-and-carry: buy Bitcoin spot and sell a richer futures contract, then hold both legs to expiry while convergence toward the settlement benchmark is intended to realize the spread. In the $100,000 spot/$101,000 one-month example, the paired positions produce a $1,000 gross spread—not an automatic profit.
The net economics require the premium to exceed financing, custody, margin, execution and other costs, as CF Benchmarks describes. The calculation includes financing or committed capital, custody or exchange access, futures margin, and trading and execution costs. Liquidity, operational arrangements and balance-sheet limits may also prevent the trade from being captured at meaningful size.
Arbitrage may pressure a wide premium: spot purchases add demand to the cash leg and futures sales add supply to the futures leg. But the spread need not narrow immediately. Its level is therefore a market price for a package of exposures and frictions, not a clean reading of sentiment.
Cash-and-carry reduces directional exposure by pairing a spot long with a futures short, unlike simply buying Bitcoin. It does not remove risk: imperfect hedges, differences between the spot venue and settlement benchmark, margin demands and execution slippage can all matter.
Who uses CME contracts—and what the premium cannot identify
CME offers standard Bitcoin futures representing 5 bitcoin and Micro Bitcoin futures representing 0.1 bitcoin, with both contracts settling to the BRR, according to CME's cryptocurrency futures FAQ.
They can be used for leveraged exposure, hedging or spreads without holding spot Bitcoin in the futures account: a Bitcoin holder may sell futures, a directional participant may buy them, and a relative-value trader may combine spot and futures. A positive basis can accompany any of these uses, including outright longs, hedgers, arbitrageurs and expiry rolls.
The CME premium consequently cannot identify a trader class or prove that institutions as a group have become more bullish. The same limitation applies to “institutional demand.” Futures participation can offer market-structure evidence, but open interest contains matched long and short positions and does not by itself reveal directional long, short, hedging or arbitrage activity.
Interpret the spread with its accompanying trading data: the relevant combination may involve carry, hedging, directional positioning and constraints.
Reading basis with open interest, volume and contract maturity
Start with like-for-like basis inputs: a named CME contract, a defined spot reference and prices observed at roughly the same time. Record the remaining time to expiry as well. A $1,000 gap means something different when settlement is days away than when it is months away.
CME reported average daily volume of 280,000 cryptocurrency futures and options contracts in the first half of 2026, up 44% from the first half of 2025, in its second-quarter cryptocurrency highlights.
Volume measures trading during a period; open interest measures outstanding contracts. CME publishes both measures in its market-data materials. A large volume reading can reflect active turnover without a lasting increase in positions, while rising open interest shows that more contracts remain open without revealing who holds each side or whether either side is hedged elsewhere.
These measures can help put basis in context. Rising basis alongside rising open interest may point to expanding leveraged or hedged participation, but it cannot determine participants’ directional intent or distinguish a wave of arbitrage from outright bullish positions. The reported activity helps explain why regulated-market participation is followed, not why any particular basis reading should be considered bullish or bearish.
Annualizing a spread can normalize comparisons across maturities, but it does not turn the quoted spread into a guaranteed return. Carry costs, trading costs, margin requirements and the availability of capital can change, while the annualized figure can look more dramatic than the actual time-limited gap.
Why a positive basis is not a Bitcoin price forecast
A positive basis can coexist with optimism about Bitcoin, but it is not equivalent to a forecast that spot prices will rise. In a functioning cash-and-carry market, a portion of the premium may be compensation for holding and financing spot exposure while managing a futures position. That economic role can be present regardless of whether the arbitrageur has a directional view.
Academic research published in Research in International Business and Finance found that Bitcoin futures basis contains information about subsequent spot-price changes and risk premia. The research also characterizes basis as a biased predictor, rather than a guaranteed directional signal. That is a more useful framing than treating contango as proof of a coming rally or backwardation as proof of a decline.
Trading the spread carries its own risks. Futures positions use margin, allowing control of a larger notional position with a fraction of that value. The CFTC warns that margin can amplify gains and losses, require additional funds and lead to forced closure of positions.
For a trader attempting cash-and-carry, a sharp market move may therefore create margin pressure even where the intended spot-and-futures relationship is broadly hedged. Operational issues, benchmark differences, liquidity and the cost of maintaining both legs can also alter the realized result. For an observer, the practical conclusion is narrower: treat the CME premium as evidence about a futures-versus-spot relationship, then test it against maturity, costs, volume and open interest before drawing conclusions about demand.
Frequently Asked Questions
What does a positive CME Bitcoin basis mean?
It means the selected CME Bitcoin futures contract trades above the selected spot Bitcoin price under the futures-minus-spot convention. The gap is commonly called a futures premium or contango.
Is the CME Bitcoin premium the same as institutional bullishness?
No. Institutions and other market participants can use CME futures for hedging, directional exposure or arbitrage. The premium alone does not identify which activity is driving the market.
Why do CME Bitcoin futures and spot Bitcoin prices differ?
Futures have a defined expiry and settle to the BRR, while spot prices are live venue-specific quotes. Financing, custody, margin, execution costs and supply-demand conditions for the contract can all affect the pre-expiry spread.
How do cash-and-carry trades use Bitcoin futures basis?
A trader generally buys spot Bitcoin and shorts a futures contract trading at a sufficient premium, aiming to capture convergence after covering all costs rather than make a directional bet on Bitcoin.
What should be checked alongside CME basis?
For context, compare contemporaneous spot and futures prices, identify the contract’s remaining maturity, and review volume and open interest—but recognize that these data do not reveal every participant’s position or motive.
Can basis predict Bitcoin's next move?
It may contain information about future spot-price changes and risk premia, but research does not support treating it as a certain signal. A positive spread is not a price target or investment recommendation.
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.

Cumulative Volume Delta (CVD) is a running total of buying volume minus selling volume over a selected period. More precisely, it aims to show whether trades initiated aggressively by buyers or sellers have dominated the executed order flow, rather than showing all crypto volume or the number of market participants in a market.
That distinction matters. In order-flow terminology, aggressive buying is generally volume executed at the ask, while aggressive selling is volume executed at the bid. CVD is therefore an attempt to measure the imbalance between those two forms of executed volume. Bookmap describes it as the cumulative difference between buying and selling volume, while a CME Group research paper sets out the bid-and-ask framing for aggressive trade execution.
For crypto traders, the useful question is not simply whether CVD is rising or falling. It is what data the indicator covers, how the platform classified trades, where price is trading, and whether liquidity supports the interpretation. A CVD line can be informative order-flow context; it is not a complete measure of market-wide demand.
CVD measures aggressive order flow, not total crypto volume
Every completed trade has a buyer and a seller, so total traded volume alone does not establish that buyers “outnumbered” sellers. CVD instead assigns volume according to which side was aggressive at execution. A trader willing to pay the available ask is typically treated as an aggressive buyer. A trader willing to sell into the available bid is typically treated as an aggressive seller.
The resting orders at the bid and ask provide available liquidity. The incoming order that crosses the spread to execute against that liquidity is the aggressive side. When trades execute at the ask, they add to buy volume in a conventional volume-delta calculation; executions at the bid add to sell volume.
This makes CVD an order-flow measure, not a broad sentiment survey. It does not directly reveal why a trade occurred, whether a participant is hedging, or whether the same economic actor has positions elsewhere. Nor does it say that every buyer is bullish or every seller is bearish. It records the direction assigned to executed aggression within the data set being measured.
That narrower definition is also why a large volume bar can have little effect on CVD. If aggressive buying and selling are close to balanced during the bar, the net delta may be small even where total volume is high. Conversely, a relatively modest amount of one-sided aggressive execution can produce a notable delta reading.
How buy-sell delta becomes a cumulative line
The calculation begins with volume delta for an interval, which could be a bar or another aggregation chosen by the charting tool:
Delta = Buy Volume − Sell Volume
A positive result means buy volume exceeded sell volume for that interval. A negative result means sell volume was greater. CVD then adds each new delta to the preceding running total:
CVD(t) = CVD(t−1) + Delta(t)
As Bookmap’s documentation notes, a rising CVD indicates net aggressive buying over the selected sequence, while a falling line indicates net aggressive selling. The value is cumulative, so its slope is often more immediately useful than its absolute level. A line can remain above zero while declining, for example, because recent sell delta is being added to an earlier positive total.
The starting point matters as well. If a chart starts CVD at zero at the beginning of a session, day, week, or custom range, the line reflects net delta since that reset. A different reset creates a different cumulative history. Two charts can therefore display different CVD values without either necessarily being wrong.
Readers should also separate the interval delta from the cumulative line. Bar delta describes the imbalance in one period. CVD carries that imbalance forward, allowing a trader to see whether net aggression has persisted, paused, or reversed across a longer sequence.
A trade-by-trade CVD example
Consider a simplified sequence in which CVD begins at zero. In the first interval, 120 units of volume are classified as aggressive buys and 80 as aggressive sells. Delta is therefore +40, and CVD rises to +40.
IntervalBuy volumeSell volumeDeltaCVDStart———0112080+40+40270110-40039060+30+30
In the second interval, sell volume exceeds buy volume by 40 units. That -40 delta is added to the existing +40 CVD reading, returning the cumulative line to zero. The third interval contributes +30, taking CVD to +30.
The example illustrates two common points of confusion. First, CVD does not move up simply because there was trading volume: it moves according to the net classified imbalance. Second, a positive CVD at the end does not mean that there was no selling. It means that, from the chosen starting point through the latest interval, the accumulated aggressive buy volume exceeded accumulated aggressive sell volume by 30 units.
Actual platform displays may calculate at a much finer level than this example and then present the result in chart bars. The arithmetic remains the same, but the reliability of the buy-versus-sell classification depends on the available data and the platform’s method.
Reading CVD alongside price: confirmation and divergence
CVD is most commonly interpreted alongside price rather than in isolation. When both price and CVD rise, the price advance is occurring alongside net aggressive buying; when both fall, the decline is occurring alongside net aggressive selling. Such alignment can support a reading that aggressive order flow is participating in the prevailing price move.
The more closely watched contrast is divergence. Price may rise while CVD is flat or falling, meaning the advance is not accompanied by increasing net aggressive buying in that data set. Price may also decline while CVD is stable or rising. TradingView’s footprint-chart guide characterizes such divergence as a possible sign of weakening participation, while stressing that it is not a standalone signal.
“Possible” is the operative word. A price/CVD mismatch is a prompt to examine the market more closely, not proof that a reversal must follow. Price can continue in its direction despite a divergence, and the divergence may reflect the instrument, time window, or classification method rather than a decisive shift in broader crypto positioning.
Price structure and nearby liquidity give the reading context. A trader looking at a divergence might ask whether price is approaching a prior area of interest, whether the move has held or rejected a level, and whether conditions in the relevant market are orderly. CVD contributes a view of executed aggression; it does not replace the price chart.
Why crypto CVD can differ across charts and exchanges
A CVD indicator is only as comprehensive as its underlying data. In crypto, a reading from one exchange’s BTC-USDT spot market is not automatically a reading for every BTC market. A perpetual contract, a spot pair, and another venue can have different trading activity, and a single instrument’s CVD may not represent aggregate market-wide buying and selling pressure.
Platform methodology can create further differences. Where tick-level bid/ask data is unavailable, many charting platforms estimate volume delta using lower-timeframe bars. TradingView says its volume-delta classification uses intrabar price direction, meaning its CVD can be an estimate rather than a direct reconstruction of every trade’s aggressor side. Its methodology and settings are outlined in the TradingView Help Center.
That does not make an estimated indicator unusable. It means comparisons should be made carefully. A difference between two CVD charts may arise because they use different exchanges, instruments, lower timeframes, trade-classification rules, or reset periods. Comparing their absolute readings without first checking those settings can be misleading.
Reset settings are especially easy to overlook. One chart may begin its running total at a session boundary; another may retain a longer history. Since CVD is cumulative by design, a change in the starting point can substantially alter the displayed level even if the more recent deltas are similar.
Using CVD with liquidity and price action
A practical CVD workflow starts by defining the market under observation. Confirm whether the chart uses a spot pair, a futures or perpetual contract, or another instrument; identify the venue; and check the chosen reset period. Those decisions define the scope of the claim a CVD reading can support.
Next, assess CVD in relation to the same market’s price action. Sustained positive or negative slope can show whether aggressive flow has been net one-sided during the measured period. A sharp change in slope may be worth noting, especially if it coincides with a change in price behaviour. Neither observation establishes a future outcome on its own.
Liquidity is the other essential comparison. Aggressive orders execute against resting liquidity, so price movement is shaped by both the flow that crosses the spread and the liquidity available to absorb it. A CVD reading describes one side of that interaction: executed, classified volume. It does not by itself show the full set of resting orders or guarantee how much liquidity will remain available.
For that reason, CVD is better treated as a contextual indicator than as a market-wide pressure gauge or automatic entry-and-exit tool. The durable interpretation is straightforward: positive delta adds to the line, negative delta subtracts from it, and the result reflects net aggressive execution within a selected data set. The harder and more important task is deciding how much weight that particular data set deserves.
Frequently Asked Questions
What does a rising CVD mean in crypto?
It means that, since the indicator’s reset point, classified aggressive buy volume has exceeded classified aggressive sell volume. It does not establish that all crypto markets are experiencing broader buying pressure.
Is CVD the same as trading volume?
No. Total volume counts traded quantity, whereas CVD tracks the accumulated difference between buy-side and sell-side aggressive execution. High total volume can produce a small delta when the two sides are closely balanced.
Why does CVD differ between exchanges or charting platforms?
The underlying venue or instrument may differ, along with the trade-classification method, available granularity, and reset setting. When direct tick-level bid/ask data is unavailable, some platforms estimate delta from lower-timeframe price movement.
Does bearish CVD divergence mean price will fall?
No. A rising price paired with flat or falling CVD can flag a participation mismatch, but it is not a prediction. Price action and liquidity context are needed before drawing a stronger conclusion.
Can CVD show market-wide crypto buying pressure?
Not from one exchange or one contract alone. A single CVD series describes the data it receives, such as a particular spot pair or perpetual market, rather than the entire crypto market.
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.

JOLTS is the U.S. Bureau of Labor Statistics’ monthly survey of job openings, hires and separations. Its most closely watched number, job openings, measures the number of qualifying unfilled positions employers had on the last business day of a month—not the number of jobs added during that month.
That distinction is central to why the report matters. Vacancies offer one view of employers’ demand for workers, while hiring and separation figures show the movement of workers into and out of jobs. Investors, economists and Federal Reserve watchers read those measures together for evidence on whether the labor market is tightening, cooling or broadly in balance.
What JOLTS measures—and what counts as a job opening
The Job Openings and Labor Turnover Survey, known as JOLTS, covers private nonfarm establishments and government entities in the 50 states and the District of Columbia. The Bureau of Labor Statistics publishes six core measures: job openings, hires, quits, layoffs and discharges, other separations, and total separations.
The BLS uses a narrower definition of an opening than simply an employer saying it would like more staff. A position must exist and be unfilled on the last business day of the month; it must be available for a worker to start within 30 days; and the employer must be actively recruiting outside the establishment. A future role that has not yet become available, or a role without outside recruiting, does not meet that definition.
This makes the headline useful but specific. It is a count of vacancies meeting the survey’s criteria at one point in time. It does not directly tell a reader how many people were newly employed, how many vacancies will be filled, or whether every posted role represents equivalent demand across industries, locations or pay levels.
The survey’s breadth also explains why it attracts more attention than a single company’s hiring plans. It is designed to provide an economy-wide view across its covered employers, though it remains an estimate rather than a census of every vacancy in the United States.
Job openings are a stock; hires and separations show the monthly flows
The most useful way to read JOLTS is to separate a stock from flows. Openings are the stock: the number of qualifying vacant positions outstanding at month-end. Hires and separations are flows: activity recorded over the course of the month.
That means a high openings number does not equal monthly job creation. An employer may carry a vacancy across more than one month, fill one opening while creating another, or recruit for a role that ultimately remains unfilled. Likewise, hiring can be substantial even if openings change little, depending on how quickly employers fill available positions.
Total separations combine quits, layoffs and discharges, and other separations. Looking at the components can produce a more complete picture than the vacancies headline alone. Quits are particularly watched because they are a distinct type of separation, while layoffs and discharges capture a different part of labor turnover.
A compact example shows why the sequence matters. In the BLS release covering June 2026, job openings were little changed at 7.4 million, hires were 5.3 million and total separations were 5.4 million. Those figures describe different concepts: 7.4 million was the month-end stock of qualifying openings, while the latter two figures record monthly movements. They should not be added together or read as interchangeable measures of jobs created or lost.
For a practical read, start with the direction of openings, then ask whether hires and separations point in the same direction or tell a more complicated story. A change in vacancies may reflect a shift in employers’ desired staffing, but the flow measures help indicate what is happening as workers are actually brought on or leave jobs.
How vacancies feed into the Fed’s assessment of labor-market balance
Federal Reserve policymakers do not set policy from one JOLTS number. They assess labor-market conditions alongside other economic and financial information, and vacancies are one part of that assessment.
The economic logic is straightforward. A rise in openings can suggest that employers have more unmet demand for workers. If businesses are competing harder to fill roles, observers may infer a greater chance of wage pressure and, potentially, inflation pressure. A decline in openings can instead be read as evidence that labor demand is cooling.
Neither inference is automatic. An openings decline does not by itself establish that employment is weakening, just as a rise does not prove that inflation will accelerate. The hiring and separation measures, the scale and persistence of the move, and the wider economic setting all shape the interpretation.
The Fed itself frames vacancies within a broader question of labor-market balance. In its July 2026 Monetary Policy Report, the central bank described vacancies as roughly flat and characterized labor demand and supply as broadly in balance. That language illustrates the point: policymakers use vacancies as an indicator of the relationship between demand for workers and worker availability, rather than as a stand-alone policy trigger.
For market participants, the key question is often whether a JOLTS release changes the expected path of that balance. A reading that appears stronger than anticipated can lead investors to reconsider how quickly policy might ease. A weaker-looking report can pull expectations in the other direction. Those are judgments about implications, not conclusions supplied by the survey itself.
Why a JOLTS surprise can move Treasury yields, the dollar and stocks
Markets react to JOLTS when the data alter expectations for Federal Reserve policy. The chain runs from a labor-demand signal to expected interest rates, and then to the assets sensitive to those expected rates.
If investors see unexpectedly strong openings as evidence of resilient labor demand and possible wage or inflation pressure, they may expect a less accommodative Fed path than they had previously priced. Treasury yields can respond as expected policy rates are reassessed. The dollar may also move as relative return expectations change, while equities can respond to the prospect of different discount rates and borrowing conditions.
The reverse interpretation is also possible. A surprise decline in openings may be viewed as cooling demand, potentially supporting expectations for easier policy. But stocks do not have a guaranteed direction in either case. Lower expected rates can support valuations, while the same weak labor signal may raise concerns about growth or corporate earnings.
That is why “higher openings are good” and “lower openings are bad” are unreliable shortcuts for investors. The relevant issue is the surprise relative to expectations, the accompanying JOLTS components, and whether the release changes the market’s view of inflation, growth and the Fed. The relationship is an economic inference rather than a mechanical trading rule.
Monthly U.S. total nonfarm job openings, seasonally adjusted, in thousands. — Source: Federal Reserve Bank of St. Louis — FRED
How to read JOLTS without overinterpreting one release
JOLTS is a monthly survey, so the openings figure is already a month-end reading when it is released. It is valuable as a broad labor-demand indicator, but it is not a real-time count of every vacancy or an instant verdict on current economic conditions.
The BLS produces the estimates through a process that includes survey weighting, adjustments for nonresponse, benchmarking to Current Employment Statistics employment, birth-and-death modeling, alignment, seasonal adjustment and variance estimation. In plain terms, the published figures are constructed statistical estimates from survey data, with procedures intended to make them useful for aggregate analysis.
Readers should therefore give more weight to a pattern than to a single monthly move. The June 2026 figures, for example, are best used as an illustration of how the three headline concepts differ—7.4 million openings, 5.3 million hires and 5.4 million total separations—rather than as a self-contained verdict on the labor market.
Revisions matter as well. The BLS says JOLTS estimates are subject to sampling and nonsampling error, and its annual updates revise five years of history to incorporate updated CES benchmarks, revised seasonal factors and other adjustments. A first market reaction may be based on numbers that later change, while prior-month revisions can alter the apparent trend.
A disciplined reading checks three things: whether openings moved materially, whether hires and separations support or complicate the headline, and whether revisions changed the starting point. It also avoids treating a vacancy count as the same thing as payroll employment. JOLTS is most informative when it is treated as one component of a wider labor-market assessment.
Frequently Asked Questions
Do JOLTS job openings equal available jobs?
Not exactly. They count existing, unfilled positions that are available to start within 30 days and are being actively recruited for outside the establishment, as of the month’s last business day.
What is the difference between JOLTS and the payrolls report?
JOLTS focuses on vacancies and labor turnover, including hires and separations. The payrolls report is used to track employment levels and changes in payroll employment, so the two releases answer different questions about the labor market.
Why do investors watch quits in JOLTS?
Quits are a separately reported form of separation. They add context to openings, hiring and layoffs by showing one distinct channel through which workers leave employers.
When is JOLTS released?
The BLS publishes JOLTS monthly. Because it measures openings at the end of a reference month, readers should distinguish the period covered by the data from the day the release is published.
Is a higher JOLTS openings reading always bullish for stocks?
No. Stronger openings may be seen as supportive of economic demand, but they can also lead markets to expect a less accommodative Fed path and higher discount rates. Equity reactions depend on how investors weigh those competing implications.
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.

Search for a low-deposit casino, and you will find plenty of $1 claims. Most of them refer to something other than what you assume, because casinos operate three separate floors and players routinely treat them as one number.
Sorting the three apart is the difference between funding an account for a pound and discovering your balance cannot leave it.
Three Floors, Not One
Each is set by a different party for a different reason.
The minimum deposit is what the operator will accept into your account. It is set by policy and by economics, and it varies by coin and network instead of sitting at one platform-wide figure.
The bet or spin minimum is the smallest stake a specific game or market accepts. Studios set this per title, and operators set it per market on the sportsbook side. This is the number most often quoted as a headline, because it is usually the lowest of the three.
The withdrawal minimum is the smallest amount you can take out. Operators set it to avoid paying network fees on trivial amounts, and it is frequently the highest of the three by a wide margin.
That last one is where small-balance players get caught. A platform accepting a $5 deposit and requiring a $20 withdrawal has a floor your money can fall below, and nothing about the deposit page tells you so.
Why the Deposit Floor Moves by Coin
Network economics set this, not marketing.
Moving a deposit costs a network fee, and that fee is paid regardless of how much you send. A deposit smaller than the cost of moving it makes no sense for anyone, so the sensible floor tracks the fee on whichever chain you use.
On a low-fee network, a deposit of a dollar or two is perfectly rational because the fee rounds to nothing. On Bitcoin mainnet during congestion, the same deposit could cost more in fees than it delivers.
That is why a single platform can accept genuinely tiny deposits on one network and set a much higher floor on another.
Read the deposit page per coin instead of looking for one headline figure, and which network you choose changes the cost more than which casino you pick.
Six Platforms Compared on Their Floors
Where a platform publishes a figure, it appears. Where it does not, the cell says so instead of guessing.
Platform
Deposit floor
Bet floor
Withdrawal floor
Dexsport
Varies by coin and network
$1 sportsbook, lower in some pools
Non-custodial, funds held in your wallet
Stake
Varies by coin
Game-dependent
Published per coin
BC.Game
Varies by coin
Game-dependent
Published per coin
Vave
Varies by coin
Game-dependent
Not clearly published
Mega Dice
Varies by coin
Game-dependent
Not clearly published

Dexsport
Dexsport publishes a $1 minimum bet in its help centre, with some pools accepting less. That makes small stakes practical across a long season instead of theoretical.
Deposit floors still vary by coin and network here as everywhere, so the number to read before funding sits on the cashier screen for your chosen asset.
Its third floor works differently to every other entry on this list. Because the platform is non-custodial, settled funds return to a wallet you hold, so there is no operator balance waiting behind a withdrawal threshold. The licence is Anjouan, lighter than Curacao or Malta.
Stake
Scale is what helps a small depositor here. A large cashier means more assets to choose from, and with per-coin withdrawal minimums published, you can pick the asset whose floor suits the size you are working with before you send anything.
The trade is custody. Your balance sits with the operator between sessions, so the withdrawal minimum is a live constraint and not a formality.
BC.Game
Years of trading under a Curaçao licence have settled the terms, and settled terms are easy to look up. Coin support is wide enough that a small balance can usually find a cheap network to leave on.
Same custody caveat applies: funds wait in an operator account, so check the withdrawal figure for your asset before the deposit, not after.
Cloudbet
Worth naming as the poor fit on this particular list. Operating since 2013 with its company named on the licence, Cloudbet is built around higher limits and larger stakes, and small-balance play is not what it optimises for.
If you are depositing a few pounds, the platforms above serve you better. If your stakes grow, this is where the ceiling stops being a problem.
Vave
Multi-coin funding across several chains, which covers the deposit side adequately.
The shortfall sits at the other end. Withdrawal terms are not prominently published, and for someone funding small, that is the specific unknown that matters, because it is the floor deciding whether the balance can leave at all.
Mega Dice
Telegram-first access changes the funding path itself, since you are working inside a messaging client instead of a browser cashier. Around 50 providers feed the catalogue behind it.
Withdrawal terms are less clearly documented than at the larger platforms, so treat the same caution as above and confirm the figure in the interface before depositing.
Checking Before You Fund Small
Three checks, in this order, and they take a minute.
Open the cashier, select the coin you intend to use, and read the stated deposit minimum for that asset specifically.
Then find the withdrawal minimum for the same asset, because that is the number that decides whether a small balance can ever leave. Only then look at the game or market minimum, which determines how long the deposit will last once it arrives.
Doing them in that order catches the trap. A $2 deposit floor beside a $25 withdrawal floor is a combination worth knowing about before you use it, not after, and how a platform handles deposits and withdrawals is the practical detail behind every one of these figures.
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 connects to this directly, since a low minimum makes small, frequent deposits easy, and a series of small deposits adds up to the same total as one large one without ever feeling like it.


Disclaimer: The information here is provided for general purposes only and is not legal, tax, investment, or financial advice. Deposit, bet, and withdrawal minimums vary by operator, coin and network and change over time, so confirm current figures on the cashier 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.

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.