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

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

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


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

Most crypto sportsbooks do not stream anything. That is not an oversight or a cost-cutting decision; it follows from how sports rights are sold, and it separates the crypto sector from the large regulated operators fairly cleanly.
This covers why the split exists, what you can watch elsewhere, and a technical point that makes integrated streaming less valuable than it appears.
Why Rights Are the Obstacle
Streaming inside a betting site is not a feature an operator builds. It is a licence an operator buys.
Rights are sold per sport and per territory, usually through intermediaries who package betting-specific streaming for operators.
The cost is real and recurring, and the territorial slicing means a book streaming a competition to customers in one country may show nothing to customers in another, for the same event.
Large regulated operators buy those packages because streaming keeps customers in the product and demonstrably increases in-play activity. Offshore crypto platforms generally do not, partly on cost and partly because rights holders are selective about who they license to.
Where books do stream, access is almost always gated: a funded account, or a bet placed on the event, before the picture appears.
Viewing Routes Sport by Sport
The practical position varies enormously by sport, and one category is genuinely free.
Sport
Typical viewing route
Cost
Esports
Twitch and YouTube
Free
Major football
Domestic broadcast rights holder
Subscription
Tennis
Tour subscription services
Subscription
Darts and snooker
Broadcast television
Subscription or free-to-air
NFL, NBA, NHL, MLB
League subscription products
Subscription
Lower-tier and minor sports
Federation or league streams
Often free or cheap
The first row is the reason streaming matters less in esports than anywhere else. Every significant match is broadcast free on open platforms, so a sportsbook without a feed costs an esports bettor nothing but a second tab.
That bottom row matters more than it looks. Federations frequently stream their own lower-tier competitions free, which covers a lot of the fixtures where sportsbook streaming would not exist anyway.
Stream Delay Nobody Mentions
Here is the technical point that reframes the value of integrated streaming, and it applies to every operator that offers it.
Every stream runs behind the live action. Encoding, distribution and buffering introduce a delay measured in seconds, and betting-specific feeds are not exempt. Meanwhile the operator's pricing runs on a data feed that arrives faster than the pictures do.
In practice, in-play prices already reflect events you have not seen yet. When a price moves before anything visible happens on your screen, that is not the market anticipating; it is the market knowing.
So integrated streaming is a convenience for watching, and it is never an information advantage. Anyone treating a delayed picture as a basis for beating a live line has the relationship backwards, and in-play betting rewards understanding the market's pace more than watching it.
Two Things Streaming Genuinely Provides
Two things, and they are worth having.
Convenience. One screen instead of two, particularly on mobile where switching apps mid-event is clumsy. For a bettor following several events at once, this is a real quality-of-life difference.
Access to fixtures you cannot otherwise watch. Lower-tier competitions that no broadcaster carries sometimes appear in operator streaming packages, which is the strongest argument for the feature.
Neither of those is an edge. Both are reasons someone might reasonably choose one platform over another.
Dexsport Does Not Offer Streaming
Dexsport carries no live streaming, and on this particular axis that places it behind platforms that do.
The honest assessment depends entirely on what you bet. For its esports roster, which spans CS2, Dota 2, League of Legends, Valorant and the mobile MOBAs, the absence costs almost nothing, since esports streams are free on open platforms anyway.
Much the same applies to lower-tier football and the minor sports where no operator holds rights.
Where it bites is the heavily televised end: NFL Sundays, NBA nights, Premier League fixtures and the snooker and darts majors. If you bet those live, you are running two screens, and on a phone that is genuinely awkward.
What the platform does offer in place of it is Cash Out on eligible bets, which lets a position be managed without watching, and a board spanning around twenty sports so the second screen is the only thing missing.
Settlement is written to a public on-chain desk, and because the platform is non-custodial a settled bet returns to a wallet the player holds. It operates under an Anjouan licence, and breadth across a season is a separate question from whether the pictures come with it.
Working Around It
Three practical approaches, depending on what you follow.
Bet pre-match on the sports you cannot watch in the interface, since a considered position placed in advance does not require a live feed at all.
Keep the broadcast on a second device instead of a second tab, which is far less disruptive on mobile. And accept that for esports the question barely arises, because the free broadcast is better than any operator feed anyway.
If integrated streaming genuinely matters to how you bet, that is a legitimate reason to use a platform that has it. It is simply worth knowing that you are buying convenience and not advantage.
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 has a streaming dimension worth naming: a feed inside the betting interface is designed to keep you in the product between markets, which is precisely why operators pay for it.


Disclaimer: The information here is provided for general purposes only and is not legal, tax, investment, or financial advice, and nothing here is a betting tip or prediction. Streaming rights, availability and platform features vary by territory and operator and change over time, so confirm current details before subscribing or depositing. 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.

Machine learning has made sportsbooks measurably better at three things: pricing markets, spotting accounts that beat them, and deciding what to offer each customer. A retail bettor receives none of those tools.
That asymmetry is the honest summary of what AI has changed in betting. The technology is real, the improvements are real, and almost all of them accrue to one side of the transaction. This explains where AI odds modelling actually sits and what the practical consequences are.
Five Layers, Not One Feature
AI is no longer a feature inside a sportsbook. It runs as a layer across the whole operation, and the five applications differ in maturity.
Pricing and trading. The oldest and most developed use, supported by a substantial academic literature on machine learning for odds modelling. Models generate and adjust prices across thousands of markets faster than a trading desk could review them.
Risk management and account limiting. Automated systems identify which accounts are consistently beating the closing line and apply stake restrictions. This used to be a manual judgement made slowly; it is now continuous.
Personalisation and recommendations. Behavioural models decide which markets, promotions and bet suggestions each customer sees, based on what that customer has done before.
Bet-builder suggestion engines. Same-game combination prompts generated by models trained on what people tend to bet and what tends to be profitable for the book.
Churn and lifetime-value prediction. Models forecasting which customers are about to stop playing and what a given account is worth, which drives who receives what offer.
Only the first is about the odds. The other four are about you.
Dynamic Pricing in Practice
The pricing layer is worth understanding properly because it explains why lines move the way they do.
Models ingest betting volume, injury news and in-game developments continuously, and adjust prices in response. When money concentrates heavily on one side, the algorithm recalibrates to attract offsetting action, which is the same balancing logic bookmakers have always used, applied in seconds instead of minutes.
The genuine change is portfolio thinking. Operators now manage exposure across thousands of simultaneous markets as a single book, optimising total risk instead of the outcome of any individual bet. A position that looks unbalanced on one market may be deliberately held because it offsets something elsewhere.
Underneath, the techniques are unremarkable to anyone who has met them: support vector machines for binary questions, random forests for messy feature interactions, neural networks for non-linear relationships.
None of it is exotic. The advantage comes from data volume and speed, and reading how prices are constructed is more useful to a bettor than knowing which algorithm produced them.
Micro-Markets Exist Because of This
One visible product change follows directly from cheap automated pricing.
Generating hundreds of in-play markets on a single fixture, repriced every few seconds, is only economic when the pricing is automated. That is why boards have expanded so sharply, and why in-play sections now carry markets that would have been impossible to staff manually.
More markets is genuinely more choice. It is also more opportunities to bet within the same fixture, priced by a system optimising the operator's book, and platforms built for live betting lean on exactly this capability.
The Limiting Problem Is the Real Story
For a bettor who wins, this is the part that matters more than pricing.
Automated risk systems now identify profitable accounts quickly and consistently. Where a shrewd customer might once have gone unnoticed for months, models flag beating-the-closing-line behaviour in a much shorter window, and stake limits follow.
That creates an awkward position for the industry. Operators restricting accounts or adjusting prices for individuals face a reasonable expectation of explaining those decisions, and black-box models are difficult to explain.
The sector's own commentary acknowledges the tension, which is why explainability and human review sit alongside the automation instead of being replaced by it.
For the bettor, the practical takeaway is unromantic: sustained success on a retail account is now detected faster than it was, and the response is procedural.
What AI Does Not Do for You
A necessary corrective, because a market has grown around the opposite claim.
Services selling AI predictions to bettors are, with few exceptions, marketing and not technology. The tell is in how they report performance. A claimed accuracy of 70% in picking winners sounds impressive and means nothing on its own, because picking favourites correctly is easy and unprofitable.
The only measurement that matters is performance against the closing line. A model that beats the closing price consistently has found something; a model with a high raw win rate has probably found favourites. Any service quoting the second figure and not the first is telling you which one it can produce.
There is no version of this where a subscription gives a retail bettor the data volume, latency and market access an operator's trading stack has.
One Genuine Upside for Players
Worth stating fairly, because it is real.
The same behavioural models that drive marketing can be pointed at harm detection, flagging loss-chasing, sudden escalation in stake size and abrupt changes in betting pattern.
Several regulators now expect operators to use them for that purpose, and the capability is more effective than the manual review it replaced.
That is AI working for the player instead of on them, and it is the clearest example of the technology improving the product instead of the margin.
Dexsport Prices Off-Chain Like Any Hybrid Book
Dexsport prices its odds off-chain like any hybrid platform, which means the pricing layer described above applies here as it does at conventional books.
What differs is where the record ends up. Settlement is written to a public on-chain desk, so a resolved market leaves a timestamped record independent of the account screen.
That does not make the pricing transparent, and it should not be read as doing so: how a price was arrived at remains the operator's business, and the on-chain element documents outcomes and not models.
Because the platform is non-custodial, settled bets return to a wallet the player holds. It operates under an Anjouan licence, a lighter regime than Curacao or Malta.
Betting Against a Faster Book
AI has not changed what a bet is. It has changed how quickly the other side reprices, how soon a winning account is noticed, and how precisely offers are aimed at individual behaviour.
None of that is a reason to stop betting, and none of it is fixed by buying predictions. It is a reason to treat the price in front of you as the output of a well-resourced system, and to be sceptical of anyone claiming to sell you the same advantage.
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 intersects with this directly, since the personalisation models deciding which offers reach you are optimised for engagement, and the limits worth setting are the ones you choose, not the ones suggested to you.


Disclaimer: The information here is provided for general purposes only and is not legal, tax, investment, or financial advice, and nothing here is a betting tip or prediction. Descriptions of operator technology are drawn from published industry sources and practices vary between platforms. 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.

"Non-custodial" has become one of the loosest words in crypto gambling. A great many platforms marketed as web3 casinos are custodial operations with a wallet button on the login screen, and the distinction matters enormously the day something goes wrong.
Before ranking anything, this sets out what the term actually describes, because the ranking is meaningless without it.
Custody Tiers: Three Levels of Control
Platforms sit at one of three points, and only the first is non-custodial in any strict sense.
Tier 1: Fully Non-custodial
Settled funds sit in a wallet the player controls. The operator does not hold the balance, cannot freeze it, and cannot lose it in an insolvency. Withdrawal is not a request, since the funds are already yours.
Tier 2: Hybrid
A wallet connects to the platform, but a working balance is held by the operator during play and withdrawn back afterwards. Custody is temporary but real, and while funds sit in that balance, the operator controls them.
Tier 3: Custodial with Wallet Login
The wallet authenticates you and nothing more. Deposits move into an operator-controlled account exactly as at a conventional casino, and the web3 branding describes the sign-in method, not the money.
Most platforms advertising themselves as web3 casinos are tier three. That is not fraud, and tier three is how the majority of online gambling has always worked, but it is not what "non-custodial" implies to anyone reading the word plainly.
The Platforms Compared
Ordered by how much control over funds actually stays with the player.
1. Dexsport
Dexsport operates a non-custodial model, which places it first on this particular axis.
Settled bets return to a wallet the player holds, so the balance is not sitting in an operator account between sessions.
Settlement written to a public on-chain desk, leaving a record of resolved markets independent of the account screen.
Contracts audited by CertiK and Pessimistic, which is a code-level assurance distinct from the gambling licence.
Wallet, email or Telegram access, so the wallet route is available without being the only option.
Two honest qualifications. Odds are priced off-chain by the operator, so the architecture is hybrid in the pricing sense even though custody sits with the player.
And on the platform side, the Anjouan licence is lighter than Curacao or Malta, with restricted territories covering the United States, the United Kingdom and Australia.
2. Rollbit
Wallet-forward with a substantial on-chain product alongside the casino.
On-chain elements outside the casino lobby.
Wallet connection central to the product.
Operator-held balances during play, placing it in the hybrid tier.
3. BC.Game
A large platform with wallet support layered onto a conventional structure.
Wide wallet compatibility across many assets.
In-house originals alongside licensed content.
Custodial balances, held by the operator between sessions.
4. Stake
Extensive wallet support with a conventional custody model underneath.
Multi-chain deposits across many assets.
Established operating history under Curacao licensing.
Custodial, with funds in an operator account until withdrawn.
5. Cloudbet
Long-running and transparent about its structure instead of marketed as web3.
Named operating company on a Curacao licence since 2013.
High limits and low margins on major markets.
Custodial by design, with no non-custodial claim made.
6. Vave
Broad coin support with standard custody arrangements.
Multi-coin funding across several chains.
Deep sportsbook markets alongside the casino.
Custodial balances throughout.
7. BetPanda
Multi-network funding with limited disclosure elsewhere.
Several supported chains for deposits.
Cashback promotions aimed at regular play.
Licensing not clearly published, which weighs against it on any trust measure.
Why Custody Matters on a Specific Day
The distinction is abstract until it is not, and there are three moments when it becomes concrete.
An operator that holds your balance can freeze it, whether during a dispute, a verification review or a suspected terms breach. An operator that holds your balance can also lose it, since insolvency risk makes player funds a claim against the estate instead of your property.
And an operator that holds your balance decides when you get it back, which is what withdrawal processing time actually measures.
None of those risks disappears entirely with a non-custodial model, because funds committed to an active bet are committed. What changes is the default state between bets, and across a season that is where a balance spends most of its life.
A Test You Can Run
Reading marketing copy will not tell you which tier a platform occupies. One small experiment will.
Deposit a modest amount, place one bet, and then look at where the settled funds are. If they have returned to your own wallet without you requesting anything, the platform is non-custodial in practice. If they are sitting in an operator balance awaiting a withdrawal request, it is not, whatever the homepage says.
Then read the terms for the operator's rights over that balance. A clause permitting suspension of an account balance pending investigation only exists where the operator holds the balance in the first place, and how a platform records and settles activity is a separate question from who holds the money.
Wallet Support Is Not Custody
A final clarification, since the two are constantly conflated in platform marketing.
Supporting MetaMask or Trust Wallet says nothing about custody. It says the platform accepts a wallet as a connection method, which is a convenience feature. Plenty of fully custodial casinos support both, and wallet compatibility varies for its own reasons unrelated to who controls your balance.
The question to ask is not "can I connect my wallet" but "where do my funds sit when I am not betting". Those have different answers at most platforms in this category.
Ranking on the Thing That Matters
Fund control is one axis among several, and it is the one this comparison measures. A custodial platform with a Malta licence may serve you better overall than a non-custodial one licensed lightly, depending on what you value.
What is not defensible is a platform claiming non-custodial status while holding your balance. Check which tier you are actually on before depositing.
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 is unaffected by custody model: funds in your own wallet are just as easy to stake as funds in an operator account, and the limits worth setting are the same either way.


Disclaimer: The information here is provided for general purposes only and is not legal, tax, investment, or financial advice. Custody models, licensing and platform features change over time, so verify current arrangements directly before depositing. 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.

A card payment to a fraudulent merchant can be reversed. A crypto deposit to a fraudulent casino cannot. That single asymmetry is why the checks below are worth running before you fund an account and not after, and why fake casino operations have concentrated on crypto in the first place.
These are the seven signals that separate a thin operator from the fake casino sites now circulating, in the order they are worth checking.
Seven Checks Before You Deposit
The licence seal does not resolve. This is the fastest-growing category of casino fraud, and it has three variants. One version is a flat image linking nowhere. The seal links to the regulator's homepage instead of the specific licence record. Or the licence number is genuine but registered to a different company. All three rely on nobody clicking through.
The operator is not in the public register. Curacao, Malta, the UK Gambling Commission and Anjouan all publish searchable registers. A correct method is to open the regulator's own website directly, not the casino's link, and search for the operating company. No entry means no licence, whatever the footer displays.
The domain is younger than the claimed history. A site announcing that it has operated since 2017 on a domain registered three months ago is telling you something plainly. Domain registration dates are public and take seconds to check.
A withdrawal requires a new deposit. No legitimate operator asks for fresh funds to release an existing balance. Whatever the stated reason, whether a verification fee, a tax prepayment, or an account upgrade, this pattern is the defining mechanic of the withdrawal trap, and it has no honest version.
The bonus is implausible. Offers running to several hundred percent, or headline figures far above what established operators advertise, are bait. Real bonuses are constrained by real economics; fake ones are constrained by nothing.
Verification rules appear only after a win. A legitimate platform states its identity requirements in its terms before you deposit. A fraudulent one introduces them once a withdrawal is requested, then rejects documents repeatedly. Endless document requests following a large win are a recognised stalling pattern and not diligence.
Support goes quiet at the word "complaint". Responsive chat that stops responding the moment you mention a regulator, a dispute body or a chargeback is a strong signal. So is support reachable only through a web form with no named company behind it.
Licence Verification Changed in 2026
Understanding why fake seals proliferated this year helps you read them.
Curacao's LOK reform replaced the old master-and-sublicence structure with direct licensing under the Curacao Gaming Authority.
By 2026, that has matured: licensees hold their own licence with named beneficial owners, pay real fees, meet local substance requirements and answer to a working player-complaint channel.
The side effect is that grandfathered sublicence holders who never completed the transition have been dropping off the register in batches. Each removal orphans a cluster of white-label brands that keep trading with a seal that no longer verifies against anything.
So a Curacao seal now means considerably more than it did, but only when the verification link resolves to a live entry naming the company and the domain.
An unverifiable seal is not a weaker licence; it is no licence, and licensing regimes differ substantially in what they actually require.
Impersonation Has Become the Growth Area
The second shift worth knowing concerns how players arrive at these sites.
AI-generated video and audio are now used to fabricate celebrity and influencer endorsements promoting fake platforms across YouTube, Instagram, Telegram and X. Chainalysis recorded impersonation scams targeting crypto users growing roughly fourteenfold year on year through 2025.
The related pattern is slower and more personal: contact established over days or weeks on social or messaging platforms, trust built, then a link shared to a platform or a wallet connection. It works because it does not look like a scam until the funds have gone.
Defence here is procedural, not perceptive. Reach casinos through addresses you typed yourself, never through a link someone sent you, and never connect a wallet or share a recovery phrase because support asked. No legitimate operator requires a seed phrase for anything.
Two Signals Inside the Product
Past the paperwork, the lobby itself carries evidence.
A catalogue filled with unfamiliar studios and clones of well-known titles usually means the major providers have withdrawn their feeds, which they do when an operator's standing or payment record deteriorates.
And withdrawal terms reserving the right to pay large wins in monthly instalments are a legal way of not paying you promptly, disclosed in a document most players never open.
Neither is proof of fraud on its own. Both are reasons to read the terms before depositing, and verifying game outcomes independently tells you about fairness but nothing about whether the operator will pay.
Apply the Same Checks to Dexsport
Dexsport publishes an Anjouan licence, names CertiK and Pessimistic as having audited its contracts, and lists its restricted territories openly.
The point of this article is that none of those statements should be taken on trust from any platform, including this one.
Run the same procedure: find the Anjouan register yourself, search for the operating entity, and confirm the audit reports exist where the platform says they do. A claim you verified is worth something; a claim you read on a homepage is worth nothing.
The Anjouan licence is a lighter regime than Curacao or Malta, which is a separate question from whether it is genuine, and both questions are worth answering before depositing anywhere.
Verification Costs Five Minutes
Every check here is free and none takes long. Search the register. Check the domain age. Read the withdrawal terms. Ask support a pointed question and see what comes back.
Crypto deposits do not reverse, so the entire defence is in what you do before the transfer.
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 and platform safety overlap here, because the operators most willing to take your money are usually the ones least interested in whether you can afford to lose it.


Disclaimer: The information here is provided for general purposes only and is not legal, tax, investment, or financial advice. Licensing status, platform practices and scam patterns change over time, so verify current details with the relevant regulator directly. 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.

Washington, United States, August 28th, 2026, Chainwire
As prediction-market volume hits record highs and regulators circle, identically worded midterm questions are trading several points apart depending on the venue. Predictions.io now tracks 9,700+ markets across Kalshi, Polymarket and Manifold in one place - with free fee and odds calculators so traders can see what a price actually costs them.
Prediction markets have never been bigger, or more contested. Kalshi, Polymarket and Polymarket US together posted a record $50.59 billion in combined volume in July, with Kalshi accounting for roughly 74.5% of the total. In the same month, New York City opened a probe into both leading venues, a Washington judge ordered Kalshi to halt most wagers in the state, and the CFTC began an internal review of so-called “mention markets.”
Amid that scrutiny, a simpler question has gone largely unexamined: when two venues list the same question, do they agree on the answer?
Often, they do not. On identically worded midterm markets tracked by Predictions.io, “Blue tsunami in 2026?” was priced at 44.5% on Polymarket and 36.0% on Kalshi. “Blue wave in 2026?” showed 82.5% against 74.0%. Both gaps are 8.5 percentage points — on questions whose wording is identical on the two venues. Across a sample of directly comparable binary markets live on more than one venue, the median gap was more than four points, and nearly half of the pairs differed by five points or more. (Prices as of 05:08 UTC on 28 August 2026; both venues’ live prices are shown side by side on Predictions.io.)
Those gaps matter to anyone quoting a single number. A market priced at 44.5% on one venue and 36.0% on another does not have one “market-implied probability” - it has two, and which one gets cited is arbitrary unless the reader is told both.
“A single venue’s price is a data point. The spread between venues is the information. When the two biggest markets in the world disagree by seven points on the same sentence, that disagreement is the story - and nobody who runs one of those markets is in a position to report it.” said spokesperson of Predictions.io
Predictions.io aggregates markets from Kalshi, Polymarket and Manifold, matching equivalent questions across venues so the same event can be compared directly. The platform currently tracks more than 9,700 event pages across 23 categories including US politics, economics, crypto, sport and geopolitics.
Alongside the comparison pages, Predictions.io publishes two free tools:
● Fee Calculator — enter any trade and see the fee, total outlay and effective all-in price on each venue, including Kalshi’s 0.07 × P × (1−P) taker formula and maker discount against Polymarket’s zero-fee standard markets.
https://predictions.io/tools/fee-calculator
● Odds Converter — convert American, decimal and fractional odds into implied probability and prediction-market prices, and see the vig-free line.
https://predictions.io/tools/odds-converter
A direct venue comparison is available at https://predictions.io/compare/polymarket-vs-kalshi, and live midterms markets at https://predictions.io/lobby/us-politics.
Predictions.io operates no market and takes no position in any contract. It is a data and comparison service, not an exchange, broker or investment adviser.
About Predictions.io
Predictions.io is an independent aggregator of prediction markets, bringing prices from Kalshi, Polymarket and Manifold into a single view so the same question can be compared across venues. It publishes free tools for traders and journalists, including a cross-venue fee calculator and odds converter.
Users can learn more about Predictions.io here: https://predictions.io/
Predictions.io socials: https://bio.site/predictions.io
ContactSpokespersonPredictions.iosupport@predictions.io
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 Coinbase Premium Index is a percentage comparison between Bitcoin’s BTC-USD price on Coinbase Pro/Advanced Trade and its BTC-USDT price on Binance. When the reading is positive, Bitcoin is priced higher on Coinbase; when it is negative, Bitcoin is cheaper there. It is commonly used as a gauge of relative U.S. buying pressure, not as a record of who bought Bitcoin or how much they bought.
What the Coinbase Premium Index measures
The index tracks a venue and quote-currency spread. It compares the price of Bitcoin in U.S. dollars on Coinbase with the price of Bitcoin quoted in Tether’s USDT stablecoin on Binance. CryptoQuant’s market-data description defines the measure as the percentage difference between those two prices.
A positive value means the Coinbase BTC-USD market is trading at a higher price than Binance’s BTC-USDT market. A negative value means the Coinbase price is lower. A reading at or close to zero indicates little difference between the two quoted markets at that moment.
The word “premium” can be misleading if treated as a verdict on Bitcoin’s overall fair value. The index does not say that Bitcoin is universally expensive or cheap. It says only that one specified Bitcoin market is trading above or below another after the comparison is expressed as a percentage.
CryptoQuant characterizes a positive premium as a sign of stronger relative buying pressure from U.S.-based participants. Conversely, it describes a negative premium as weaker relative U.S. demand or selling pressure. That framing is useful because Coinbase’s USD market and Binance’s USDT market can reflect different pools of capital and trading activity, but it remains a relative signal rather than a direct census of market participants.
How the BTC-USD and BTC-USDT price spread is calculated
At its simplest, the calculation takes the difference between Coinbase BTC-USD and Binance BTC-USDT, then divides that difference by the Binance price and expresses the result as a percentage:
((Coinbase BTC-USD price − Binance BTC-USDT price) ÷ Binance BTC-USDT price) × 100
Suppose, purely as an illustration, BTC-USD on Coinbase is $100,500 and BTC-USDT on Binance is 100,000 USDT. The difference is $500. Dividing $500 by 100,000 and multiplying by 100 produces a positive premium of 0.5%.
Reverse the prices and the result becomes negative. If Coinbase shows $99,500 while Binance shows 100,000 USDT, the same method yields -0.5%. The sign matters because it identifies which venue is pricing Bitcoin higher in the comparison.
USD and USDT are not the same quote currency, even though USDT is designed to maintain a value around one U.S. dollar. The index nevertheless uses the designated BTC-USD and BTC-USDT markets as its inputs. Readers attempting to reproduce a displayed reading should use comparable timestamps and the same market definitions; otherwise, rapid Bitcoin moves can make a spread appear larger or smaller simply because the two observations were taken at different times.
Price choice also affects a manual calculation. A last-traded price can be stale in a fast market, while a bid and ask represent executable sides of an order book. Comparing like with like—such as contemporaneous last prices, or an appropriately constructed mid-price—makes the result more interpretable. It does not turn the result into a direct demand-flow measure.
Why Coinbase-Binance spreads can reflect relative U.S. demand
The practical logic is straightforward. If buyers are relatively more active in the Coinbase USD market than sellers, they can push that venue’s Bitcoin price above the Binance USDT price. A positive spread can therefore coincide with stronger relative demand associated with the Coinbase side of the comparison.
This is why the measure is often described as an indicator of U.S. demand. The description is directional and comparative: it concerns buying pressure on a U.S.-dollar Coinbase market relative to a Binance USDT market. It does not establish that every Coinbase trader is U.S.-based, that every Binance trader is outside the U.S., or that a particular class of investor caused the move.
Venue composition matters. Research examining Coinbase and Binance specifically found that differences in investor bases and market events can create and alter the Bitcoin price spread between the exchanges. That supports using the premium as a relative-demand gauge, while arguing against treating it as a standalone buy or sell instruction. The underlying study is available through Shu’s research on arbitrage across Bitcoin exchange venues.
The signal is most informative when read as part of a sequence rather than as an isolated print. A sustained positive reading alongside a rising Bitcoin price may be more consistent with persistent relative pressure on Coinbase than a brief spike that disappears within minutes. The index alone cannot determine whether the difference reflects new demand, temporary liquidity conditions, or trading and settlement constraints.
How to track and validate the underlying prices
A chart provider can offer the most convenient view of the index, but users can check its underlying Coinbase leg directly. Coinbase Advanced Trade provides real-time charts, order books and trade history, according to Coinbase’s Advanced Trade documentation. Those tools allow a reader to inspect BTC-USD price activity instead of relying only on a single indicator line.
For a quick manual review, first identify the current BTC-USD price on Coinbase and the comparable BTC-USDT price on Binance. Record the time for both observations, apply the percentage formula, and check whether the result has the same sign and a broadly similar magnitude as the displayed index. Small discrepancies can arise from timing, the precise price field used, or a provider’s calculation methodology.
Order books add context. A higher Coinbase last price may reflect trades that have already occurred, whereas the current bid and ask show where market participants are presently willing to transact. Trade history can help show whether the market has been actively trading around that price or whether the last trade is no longer representative.
Programmatic users can monitor the Coinbase side through the exchange’s API. Coinbase identifies BTC-USD as a product, and its product-book endpoint provides bid, ask and last-price data, as described in the official product-book API documentation. That can support a repeatable venue-price comparison, provided the Binance observation is gathered on a comparable basis.
Validation is not the same as prediction. Reconstructing the spread helps confirm what a metric is measuring and whether an unusual reading is plausible. It cannot by itself establish why the two markets diverged or where Bitcoin will trade next.
What a positive or negative premium cannot prove
The central limitation is that the Coinbase Premium Index is a price-spread indicator. It is not a direct measure of net purchases, exchange inflows, ETF flows, or the identity of buyers and sellers. CryptoQuant’s Coinbase Premium Index page explicitly advises interpreting it alongside volume, exchange flows, ETF flows and price action.
A positive premium is not proof that U.S. institutions are buying Bitcoin. A negative figure is no more conclusive: it does not prove broad selling by U.S. investors, capital leaving an exchange, or a flow in a particular ETF.
Consider a positive reading alongside thin trading. It may be less persuasive as evidence of broad demand than a positive spread that is accompanied by meaningful activity and a consistent price move. Similarly, a widening negative premium may deserve attention, but it remains an observation about relative pricing until other evidence supports an explanation.
Useful confirmation depends on the question being asked. Volume can show whether trading activity is substantial. Exchange-flow data may offer separate evidence about transfers. ETF-flow data addresses a different market channel, while Bitcoin’s price action shows how the broader market is behaving. None should be assumed from the premium itself.
Arbitrage and market fragmentation can widen the spread
In a frictionless market, arbitrageurs would quickly buy Bitcoin where it is cheaper and sell where it is more expensive, narrowing venue differences. Cryptocurrency markets are not frictionless. Persistent cross-exchange price gaps can exist even when traders can see both prices.
Academic work by Makarov and Schoar found that Bitcoin prices can differ persistently across exchanges because markets are fragmented and arbitrage is constrained by capital controls, fiat settlement, liquidity and transfer frictions. Their research on cryptocurrency trading and arbitrage is a reminder that a spread need not have a single demand-based explanation.
Fiat settlement is especially relevant to a BTC-USD versus BTC-USDT comparison because moving capital between venues and quote-currency systems can involve costs, timing and operational constraints. Liquidity can also differ: a comparatively small amount of aggressive trading may move the price more on one order book than on another.
Investor-base differences and market events can further change the Coinbase-Binance spread. The premium may therefore contain information about relative pressure while also reflecting the mechanics of two distinct trading venues. The right interpretation is conditional: a spread is evidence of a price difference first, and a possible demand signal only after its market context is examined.
For regular monitoring, focus on persistence, magnitude and corroboration. Check that both underlying markets moved as expected, inspect trading conditions where possible, and compare the reading with volume, flows and Bitcoin’s price behavior. This approach retains the index’s value without asking it to answer questions its construction cannot answer.
Frequently Asked Questions
Is a positive Coinbase Premium Index bullish for Bitcoin?
It can indicate stronger relative buying pressure in Coinbase’s BTC-USD market than in Binance’s BTC-USDT market. It is not, on its own, a reliable directional forecast or trading signal.
What does a negative Coinbase Premium Index mean?
Bitcoin is trading at a lower price on Coinbase than on Binance in the specified comparison. CryptoQuant associates that condition with weaker relative U.S. demand or selling pressure, subject to exchange and liquidity frictions.
Does the index measure U.S. spot Bitcoin ETF flows?
No. ETF flows are separate data, and the index does not directly report them. ETF-flow information can be used as complementary context when assessing a premium reading.
Can I calculate the Coinbase Premium Index myself?
Yes. Use contemporaneous BTC-USD and BTC-USDT prices, subtract the Binance price from the Coinbase price, divide by the Binance price, and multiply by 100. Matching timestamps and price conventions is essential.
Why can the premium remain away from zero?
Arbitrage does not always eliminate gaps immediately. Market fragmentation, liquidity differences, fiat settlement, transfer frictions, capital constraints, investor-base differences and market events can all contribute.
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.

US banks are building blockchain systems chiefly to place commercial-bank deposits on programmable ledgers without giving up the deposit relationship. In this model, the digital token is meant to represent money that remains a liability of the issuing bank and is redeemable at par with an ordinary deposit. That is materially different from a bank simply facilitating crypto trading or issuing an independently backed stablecoin.
The competitive pressure comes from stablecoins, which can offer programmable and cross-border digital payments and may compete for transaction balances. Federal Reserve research says banks have responded not only by developing tokenized deposits, but also by serving stablecoin issuers and offering custody or related services. The Fed’s research frames this as a banking-sector response to a new form of payments competition, rather than a wholesale replacement of the conventional deposit system.
Tokenized deposits keep money on a bank’s balance sheet
A tokenized deposit is a digital representation of a customer’s deposit claim against a bank. The Bank for International Settlements describes banks’ efforts as putting commercial-bank money onto programmable ledgers while retaining the underlying funds as bank liabilities. In other words, tokenization changes how the claim can be recorded, transferred and used; the bank still owes the customer the money.
The BIS account says such deposits are intended to be redeemable at par with traditional deposits. Calling a deposit “tokenized” does not turn it into a free-floating crypto asset: it creates a new transaction rail for a familiar bank liability.
Why stablecoins changed banks’ incentive to build ledger infrastructure
Stablecoins have shown that digital money can be transferred through software, used across borders and incorporated into automated processes. For institutions, that opens a way to schedule payments, collateral movements and treasury actions under conditions set in code.
The banking incentive follows from where the money sits. If customer payment activity and transactional balances move to systems in which the bank is no longer the issuer of the settlement money, stablecoins become more than a popular payment instrument. Federal Reserve research describes a range of bank responses, including tokenized deposits, services for stablecoin issuers, custody and related offerings.
The bank-issued deposit token is one such response: commercial bank money remains a bank liability, but is represented on a programmable ledger with features associated with blockchain-based payments. In that setting, institutional payments, collateral transfers, treasury management and transactions involving ledger-based assets or processes can move more continuously and programmably. The proposition is aimed at institutional money movement, not at making a token necessary for ordinary spending by every customer.
How permissioned ledgers make deposits programmable
Most bank designs begin with controlled access rather than an unrestricted network. A permissioned ledger limits participation to approved parties, allowing the bank and its institutional clients to operate within a defined set of access, governance and compliance arrangements. The issuer creates the deposit claim on the ledger, and authorized users can transfer or deploy it according to the platform’s rules.
Programmability means that transfers can be linked to predetermined instructions. In practice, that could support treasury management, collateral-related activity or a payment that occurs only when specified conditions are met. J.P. Morgan’s Kinexys platform describes deposit tokens as enabling institutions to use regulated bank deposits on public or private blockchains for 24/7 settlement, collateral, treasury management and programmable transactions. Kinexys’ description is a statement of the platform’s intended institutional uses, not evidence that every use case is already broadly deployed.
The components are straightforward in principle:
The issuing bank maintains the deposit liability and sets the terms for its tokenized form.
Approved users hold and transfer the token within the permitted arrangement.
The ledger records transfers and can apply transaction rules.
Connected assets or systems may allow the deposit token to settle a purchase, support collateral activity or feed a treasury workflow.
Permissioning does not make a system frictionless or eliminate all risk. It does, however, reflect why banks’ versions of blockchain infrastructure are likely to look different from open crypto networks: banks are trying to combine programmable settlement with controlled participation and a regulated deposit claim.
Continuous settlement and atomic delivery-versus-payment are the operational case
The operational case is clearest where today’s processes involve timing gaps. Blockchain-based settlement can operate continuously and support near-real-time transfers, according to a Federal Reserve Board speech. It can also support atomic delivery-versus-payment, meaning an asset and its payment settle simultaneously. The Federal Reserve’s explanation says these features may reduce settlement delays, counterparty exposure and liquidity-management friction.
Consider a simplified institutional transaction. One party is due to deliver an asset and another is due to deliver payment. In a conventional sequence, one leg may be completed before the other, creating a period in which one side has performed while awaiting the counter-performance. With atomic delivery-versus-payment, the ledger is designed to complete both legs together or neither of them. The value lies in synchronizing the exchange, not in making credit or market risk disappear.
Continuous availability can also matter for firms operating across time zones or managing liquidity outside traditional processing windows. Deposit tokens are being positioned as a way to move regulated bank money in those settings, while keeping the money tied to the issuing bank’s liability rather than converting it into a separate settlement asset.
JPMD shows how a bank deposit token can extend onto a public chain
J.P. Morgan’s JPMD offers a concrete illustration of the approach. In June 2025, the bank announced JPMD, a US-dollar deposit token being piloted on Base for institutional clients. J.P. Morgan positioned it as a bank-backed alternative to stablecoins for near-instant settlement and liquidity movement. The announcement is notable because it describes a bank deposit token being tested on a public blockchain environment, rather than only within a wholly private bank network.
The pilot should not be confused with universal availability or proof that one structure will suit every bank. But it shows how the boundary between public and private infrastructure can be more nuanced than a simple either-or choice. A bank can seek controlled institutional use of its deposit liability while connecting that use to a public-chain setting.
Kinexys separately describes public and private blockchains as possible environments for institutional deposit-token use. The key question is not simply which chain is used. It is how access, the bank’s liability, transaction rules and settlement arrangements are structured around it.
Interoperability, legal treatment and faster runs limit the promise
Interoperability is a major practical hurdle, according to BIS research. Banks may operate separate tokenized-deposit platforms or develop a shared programmable platform, but widespread use requires systems to connect across institutions and settlement assets. Fragmented platforms can limit the broader payment utility of tokenized money.
The BIS identifies cyber and operational vulnerabilities and legal uncertainty over deposit treatment and insurance. It has also warned that tokenized money could enable faster withdrawals during a crisis, potentially amplifying bank-run dynamics.
Tokenization does not by itself ensure interoperability or resolve legal questions about a particular product. Its practical promise depends on the rules governing the deposit token, the systems it can reach and the resilience of the institutions operating it.
Frequently Asked Questions
Are tokenized deposits the same as stablecoins?
No: the intended structure is a token that represents the issuing bank’s deposit liability and redeems at par with an ordinary deposit. Although stablecoins can serve similar digital-payment functions, banks are pursuing deposit tokens to keep commercial-bank money within the bank-deposit framework.
Are tokenized deposits insured?
Because BIS materials identify legal uncertainty around deposit treatment and insurance as a significant issue, the applicable treatment cannot be assumed from the label; it depends on the product’s legal structure and relevant rules.
Why do banks favor permissioned networks?
Permissioned arrangements allow access to be limited to approved participants and enable defined governance around the transfer of a bank-issued deposit claim. They are intended to bring controlled institutional use to programmable ledger technology.
What does atomic delivery-versus-payment mean?
It means the asset leg and payment leg of a transaction settle at the same time. If properly implemented, that can reduce the exposure created when one side delivers before receiving what it is owed.
Do tokenized deposits make all bank payments instant?
No. Blockchain-based systems can support continuous operation and near-real-time transfers, but results depend on the particular platform, connected institutions and settlement arrangements. Fragmentation and weak interoperability remain material constraints.
Is JPMD available to all retail customers?
J.P. Morgan announced JPMD as a pilot on Base for institutional clients. The announcement does not establish broad retail availability.
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 Bitcoin-backed mortgage is typically not one mortgage secured by both a house and Bitcoin. It is a paired arrangement: a conventional mortgage secured by the home, plus a separate loan intended to cover the down payment and secured by Bitcoin the borrower pledges as collateral. The structure can allow a buyer to retain Bitcoin exposure rather than selling BTC to raise cash, but it also adds a second debt, a custody arrangement and a distinct route to collateral liquidation.
Better Mortgage, which offers one current version of the structure, says both loans may be originated by the same lender and that the crypto is held in custody until repayment. The terms of any product are decisive: borrowers need to separate what can happen to the pledged Bitcoin from what can happen to the house if payments are missed.
The two loans behind a Bitcoin-backed mortgage
The home mortgage is the familiar portion of the transaction. It finances the property and is secured by that property. The buyer makes mortgage payments under the loan terms, and the lender has the usual mortgage-related remedies if the borrower defaults, subject to applicable procedures and law.
The Bitcoin-backed down-payment loan is separate. Instead of converting Bitcoin into dollars for the down payment, the borrower pledges BTC as security for a loan that supplies that portion of the purchase funds. The Bitcoin serves as collateral for this second obligation, not as a replacement for the house securing the mortgage.
That distinction is more than a naming issue. A borrower can have two repayment obligations, potentially with different rates, durations, servicing arrangements and default provisions. The value of the home, the balance of the mortgage and the market value of Bitcoin are also separate variables. A decline in one does not inherently determine what happens to the other, although the contracts may create links between them.
In Better’s described product, qualified borrowers can pledge Bitcoin in place of selling it for a cash down payment. The company advertises 15-year and 30-year fixed mortgage options. Those fixed terms refer to the advertised home-mortgage choices; they should not be read as establishing the terms of every associated down-payment loan or every crypto-backed lending product.
How pledged Bitcoin replaces a cash down payment
In a conventional purchase, a buyer brings cash for the down payment and borrows the remaining amount through a mortgage. With the two-loan Bitcoin structure, the buyer instead seeks a down-payment loan backed by BTC while also applying for the home mortgage. Qualification remains important: pledging an asset does not by itself establish approval for a mortgage.
The practical sequence generally looks like this:
The prospective buyer applies for the home mortgage and the separate BTC-secured down-payment financing.
If approved under the lender’s terms, the buyer pledges an agreed amount of Bitcoin as collateral rather than selling it for cash.
The Bitcoin moves into the custody arrangement specified by the product.
The down-payment loan provides the financing used for that part of the transaction, while the mortgage finances the home.
The borrower must service the obligations as required and satisfy the conditions for release of the Bitcoin collateral.
Better says its pledged Bitcoin is held in a custodial account on the Coinbase platform. That is a material operational feature, not a cosmetic one. Once Bitcoin is pledged and placed into custody, the borrower may no longer have the same direct control over transfers or private keys that they had when holding the asset independently. The governing loan and custody documents, rather than the broad product label, determine the parties’ rights.
A simple illustration shows why the structure appeals to some holders. A buyer who wants to preserve a Bitcoin position could borrow for a home and use BTC to support financing of the down payment, rather than selling BTC first. In exchange, the buyer takes on the obligation to repay the down-payment loan and accepts the possibility that the BTC can be sold under the agreement. Retaining price exposure is therefore not the same as retaining unrestricted possession or eliminating the economic cost of a sale.
No-margin-call structures versus ordinary Bitcoin-backed credit
Bitcoin collateral does not always operate under the same rules. In many ordinary Bitcoin-backed credit arrangements, lenders require collateral worth more than the loan and monitor the ratio as Bitcoin’s price changes. If the collateral value falls, the borrower may have to add collateral, reduce the loan balance or face a sale of the pledged asset.
A 2026 SEC filing describing one arrangement sets out how such thresholds can work: a 150% initial margin ratio, a margin call at 130%, and potential liquidation at 120% if the deficiency is not cured. Those figures are specific to that disclosed arrangement, not a universal schedule for Bitcoin lending. They nevertheless illustrate why a borrower cannot assume that posting BTC means the collateral can simply sit untouched until the loan matures.
Better says price movements alone do not trigger margin calls or collateral top-ups in its structure. In other words, a Bitcoin price decline by itself is not described as requiring the borrower to post more BTC or repay part of the loan to maintain a collateral ratio. That feature distinguishes the product from conventional overcollateralized crypto credit.
It does not mean the collateral is insulated from loss. Better also states that pledged crypto may be liquidated following prolonged payment delinquency. “No margin call” addresses a particular trigger—Bitcoin price movement—not every event that can lead to sale of the collateral. Borrowers should identify every trigger in the documents, including payment delinquency, and determine whether a lender has discretion in timing or method of liquidation.
Default can put the Bitcoin and home on separate tracks
The two-loan design means the Bitcoin and the home can be dealt with through separate contractual processes. Better states that liquidation of pledged crypto may occur after 60 days of delinquency, while foreclosure proceedings on the home begin separately under applicable mortgage procedures. A BTC liquidation therefore should not be understood as resolving all mortgage obligations or as preventing a separate foreclosure process.
For a borrower, this creates a difficult scenario during financial stress. A missed-payment problem can expose the Bitcoin collateral to sale while the mortgage remains outstanding and subject to its own enforcement process. If Bitcoin has appreciated, liquidation may also remove future upside that the borrower intended to preserve by avoiding an initial sale.
The exact sequence, notices, cure rights, fees and treatment of any proceeds depend on the loan documents and applicable rules. This is an area where a product page is not enough. Before pledging assets, a buyer should be able to identify which loan is delinquent, when a sale can occur, how sale proceeds are applied and whether obligations can remain after collateral is liquidated.
Risks associated with collateralized borrowing are not unique to digital assets. FINRA, in discussing securities-backed lines of credit, highlights forced sales, changing collateral requirements and the potential for amplified losses during market declines. Bitcoin-backed products have their own terms, but the basic lesson carries over: collateral can be sold at an unfavorable time, and credit does not remove market risk.
Custody, rehypothecation and lender-failure questions
Price volatility is only one part of the risk. Pledging Bitcoin generally requires the borrower to hand over some degree of control to a lender, custodian or designated platform. The first practical question is where the assets will be held and which entity has authority to move them. The answer may differ between a lender’s own custody system and an arrangement involving an external platform.
Borrowers should also examine whether the agreement permits rehypothecation—that is, the sale, transfer or repledging of collateral in specified circumstances. A 2026 SEC filing from a digital-asset lender says collateral may be transferred to third-party custody wallets and, where permitted, sold or repledged. That disclosure does not describe every mortgage-linked Bitcoin product, but it shows why the custody agreement and lending terms deserve the same scrutiny as the interest rate.
Key questions include whether the Bitcoin is segregated or pooled, whether it can be reused, who bears losses tied to a custodian or lender failure, and what claim the borrower has if that failure occurs. A borrower should also establish the process for release of collateral after repayment, including timing and any conditions that must be met.
Variable-rate risk belongs in the review as well. Not every loan component necessarily carries the same rate structure, even where a provider advertises fixed-rate mortgage options. The cost of credit, servicing fees, prepayment terms and collateral provisions can materially affect the transaction alongside the headline mortgage rate.
Tax treatment when pledged Bitcoin is liquidated
Pledging Bitcoin as collateral is not automatically equivalent to selling it. That distinction may allow borrowers to avoid selling BTC for a cash down payment before a home purchase.
If the lender later liquidates the pledged Bitcoin, the liquidation can be a taxable disposition. The Internal Revenue Service says gains and losses generally arise from sales or other dispositions of digital assets and must be reported.
Pledged Bitcoin may be liquidated after a prolonged payment delinquency. The resulting sale may create a reporting obligation, and borrowers should obtain individualized tax advice instead of assuming that the collateral pledge guarantees tax deferral.
Frequently Asked Questions
Is a Bitcoin-backed mortgage paid in Bitcoin?
Not necessarily. The common structure described here uses a conventional mortgage for the home and a separate loan secured by pledged Bitcoin to fund the down payment.
Can Bitcoin’s price drop trigger a margin call?
It depends on the contract. Better says price movement alone does not trigger margin calls or collateral top-ups in its product, while many other BTC-backed loans use collateral-ratio thresholds and may require action after a decline.
Can a lender sell pledged Bitcoin if mortgage payments are missed?
The relevant default provisions control. Better says pledged crypto may be liquidated after 60 days of delinquency, while foreclosure on the home proceeds separately under applicable mortgage procedures.
Who holds Bitcoin used as mortgage collateral?
That depends on the product’s custody arrangement. Better says its pledged Bitcoin is held in a custodial account on the Coinbase platform; borrowers should review who controls the assets and the release process.
Does pledging BTC avoid taxes?
A pledge is not automatically a sale, but a later liquidation can be a reportable digital-asset disposition. Tax consequences should be assessed with individualized professional advice.
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 $1 decline in bank deposits could reduce lending by $1.26, according to newer research cited by the Federal Reserve. That is a striking estimate because it suggests a deposit loss need not translate one-for-one into less credit: banks may also adjust their balance sheets for liquidity, leverage and capital requirements.
But that result does not mean tokenized deposits themselves make loans more expensive. The more consequential distinction is between digitising a deposit that remains on a bank’s balance sheet and digital-money competition that draws funds away from low-cost bank deposits. Tokenization could support the former. The risk to loan pricing arises under the latter.
Tokenized deposits keep deposits inside the bank lending model
Tokenized deposits are generally commercial-bank deposits represented on programmable ledgers. As the Bank for International Settlements has argued, that structure can preserve banks’ established balance-sheet role in creating deposits through lending rather than force a narrow-banking model.
This matters for a question often framed too broadly. A bank customer holding a tokenized version of a bank deposit has not, by that fact alone, removed funding from the bank. The deposit remains part of the banking system’s funding base, even if the instrument can move or be used in more programmable ways.
That is different from a shift into a digital form of money that does not remain as a commercial-bank deposit. In that case, the bank has to replace lost funding, either by paying more to retain deposits or by turning more heavily to wholesale markets. Whether tokenized deposits raise borrowing costs therefore depends less on the technology used to record a claim than on where the claim sits after customers choose among digital-money options.
Deposit substitution can amplify into loan repricing and reduced credit
The funding mechanism is straightforward, even if the eventual scale is uncertain. If competition erodes cheap retail deposits, banks can offer higher deposit rates, obtain more wholesale funding, or alter the mix of their assets. Each response can lift marginal funding costs or constrain the balance-sheet capacity available for lending.
The BIS says such changes can lead banks to reprice loans and shift portfolios toward more liquid assets. Those are connected decisions: a bank managing a less stable or more expensive funding base may not simply accept a lower margin on every loan. It can charge more, lend less, or retain more liquidity.
The Federal Reserve’s discussion of deposit outflows explains why the credit effect can exceed the initial funding change. Banks facing outflows also rebalance to meet liquidity, leverage and capital requirements. The Fed cites one study in which a 1% decline in deposits reduced lending to the same borrower by 0.6%, alongside newer research estimating that a $1 reduction in deposits could cut lending by $1.26. The figures are evidence about transmission, not a forecast for tokenized deposits.
Loan costs are thus only one possible expression of the adjustment. Where pricing cannot fully absorb higher funding costs, credit availability can tighten instead. The outcome will depend on the competitiveness of deposit markets, banks’ ability to access alternative funding and the extent to which borrowers can switch lenders.
Smaller relationship banks face the sharper funding mismatch
Any effect would be uneven across banks and borrowers. The BIS notes that large banks may be better placed to attract replacement wholesale or institutional funding, while digital-money competition that disproportionately drains deposits from smaller institutions could pose a more acute funding problem for those lenders.
That distinction carries through to borrowers. Small and midsize businesses depend more heavily on relationship banks, according to the BIS. If those banks face a greater increase in funding costs, their customers could encounter tighter credit or wider lending spreads even where large corporate borrowers retain access to deep capital markets or multiple bank relationships.
It is not a claim that every smaller lender would lose deposits or every small business would pay more. It does mean that an aggregate deposit figure can obscure the distribution that matters for credit. A stable total for the banking system would not by itself settle whether funding had shifted away from institutions that are particularly important to relationship lending.
The same point limits a simple claim that tokenization is either pro-credit or anti-credit. Keeping deposits within banks could preserve lending capacity. But a competitive market in digital money could change which banks hold those deposits, and at what price.
Figure 6: Wholesale funding as a share of total assets, a useful baseline for analyzing whether tokenized deposits alter banks’ funding mix and loan-pricing pressure. — Source: Federal Reserve Board, Banking System Conditions
Cost savings and today’s funding base determine whether the pressure materializes
The higher-cost scenario is not the only plausible one. The BIS has identified potential operating and settlement efficiencies from programmable ledgers, which can combine messaging, reconciliation and asset transfer. Atomic settlement, less manual intervention and lower pre-funding needs could reduce costs, potentially offsetting part of a rise in deposit remuneration or wholesale funding costs.
Competition can also have less damaging effects than a pure funding squeeze. The BIS says it can raise deposit remuneration, compress excess margins, encourage banks to reduce operating costs and improve policy-rate pass-through. Banks have adapted to earlier competition from money-market funds and online payment platforms, a reminder that funding pressure need not translate mechanically into a lasting reduction in credit supply.
The relevant U.S. baseline is substantial but not static. Aggregate commercial-bank deposits reached $19.5 trillion in February 2026, while loan balances ended 2025 up 5.6% from a year earlier. Wholesale funding remained above 2022 levels despite declining slightly in late 2025, according to the Federal Reserve’s Banking System Conditions report.
Those figures put the central test in focus. If tokenized deposits draw additional funds into banks or lower enough operating friction, they can reinforce rather than weaken the deposit-funded lending model. If they mostly rearrange existing funding while accelerating the loss of cheap retail balances, banks may face a more expensive contest for deposits and wholesale funding. For borrowers, particularly those served by smaller relationship banks, that composition change matters at least as much as the total amount of deposits in the system.
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.

Tokenized nickel, in the ALKN structure offered through Bitfinex Securities, is a regulated digital security linked to a financing arrangement supported by physical nickel inventory. It is not a token that gives its holder a claim to a particular length of nickel wire or puts metal itself on a blockchain.
Bitfinex Securities announced a planned $50 million tokenized capital raise for Luxembourg-based Alkemya Metacore on August 27, 2026. The offering token, ALKN, represents limited-partnership interests connected to an estimated $1.6 billion stockpile of high-purity nickel wire held in Switzerland, according to CoinDesk. Understanding the legal interest, the custody of the metal and the rules for transferring the token matters more than the fact that a blockchain is involved.
ALKN is a limited-partnership interest, not nickel wire
ALKN represents a digital limited-partnership interest. Its holder therefore has a legal and economic interest in an investment structure, not direct title to individual pieces of the supporting nickel inventory.
Physical nickel supports the arrangement, and the capital raised is intended to fund a business producing engineered nickel products. The token’s rights—including its economic claims and any applicable redemption terms—are set by the offering’s governing documentation.
Those terms matter because buying ALKN does not necessarily entitle the holder to delivery of a specified amount of nickel, and the token’s value is not necessarily identical to nickel’s spot price. ALKN is best understood as a regulated financing instrument with off-chain asset support, rather than digitized warehouse receipts for retail metal collection.
In the tokenized-commodity model, Bitfinex says blockchain can record and transfer a legal claim or exposure linked to an off-chain commodity. The underlying nickel does not thereby become native to the network.
Swiss nickel inventory supports the structure
The reported underlying inventory consists of 7,026,905 linear metres of NP1-grade nickel wire, with stated purity of 99.99% and a diameter of 0.025 millimetres. Bitfinex describes the material as ring-fenced and unencumbered, held by Helvetic Securgest in a Swiss vault.
The reported approximately $1.6 billion value of that inventory is relevant because it provides the stated asset base behind a much smaller planned $50 million raise. But the presence of a substantial inventory does not itself define every right of an ALKN holder. Investors still need the legal terms to establish how the inventory relates to their limited-partnership interest and what happens if custody, valuation or the issuer’s operations are challenged.
Physical assets require a chain of evidence that a distributed ledger cannot replace. Bitfinex says the nickel inventory is subject to physical inspections, valuation review and financial auditing by independent firms. Those processes address questions that exist outside the blockchain: whether the metal exists in the stated form and location, whether it remains free of competing claims, and how its value is assessed.
A useful comparison is a digitized record connected to a secured financing arrangement. The token may make the record easier to issue and transfer among eligible investors, while vaulting, inspection and audit remain the means by which the physical foundation is maintained and checked.
Proceeds target engineered-nickel operations
Bitfinex’s ALKN materials describe proceeds for working capital, research and development, and manufacturing and distribution through Green Transitional Metals. The stated focus is engineered nickel products for electromagnetic shielding, aerospace and defense, semiconductors, power systems, green hydrogen and metals recovery.
Nickel’s established industrial uses include stainless steel, nickel-based superalloys for jet engines and rechargeable batteries, according to the U.S. Geological Survey.
In this structure, that industrial demand provides a commercial rationale for using nickel inventory as financing support or for financing businesses that process and apply nickel-based materials. It does not, by itself, define the investment exposure: investors are also tied to execution in the businesses and markets the proceeds are intended to fund. Manufacturing costs, research outcomes, customer demand, distribution and other operating factors can matter alongside changes in the value attributed to the inventory, so a nickel-linked security is not necessarily a straightforward commodity bet.
How investors enter and trade ALKN
ALKN is issued on the Liquid Network using Blockstream AMP. Unlike an unrestricted cryptoasset that can generally be sent to any compatible wallet, the security-token structure uses account whitelisting.
Only investors who complete required know-your-customer and anti-money-laundering checks can hold or transfer the token, according to Bitfinex. Investor eligibility and registration with the issuer are also part of the process. These controls are intended to keep transfers within the set of permitted holders rather than treating the token as freely transferable to any on-chain address.
The sequence can be understood in practical terms:
An investor establishes eligibility and completes the required KYC/AML process.
The investor registers with the issuer and, where approved, receives access to the capital raise.
Funds are pledged during the primary offering and tokens are allocated under the raise’s applicable allocation rules.
Following the offering, tokens may be available for secondary-market trading among eligible participants.
Bitfinex Securities says its capital-raise model can tokenize representations of shares or debt in a primary offering. Pledged funds are held during the raise, while allocations can use first-in-first-out or pro-rata rules; tokens may then trade on a secondary market. Availability, allocation and secondary trading remain subject to the terms and conditions of the specific offering.
This is why “on-chain” should not be confused with “permissionless.” The blockchain provides the infrastructure for issuance and transfer, but regulated eligibility rules can remain embedded in how holders and transfers are administered.
What blockchain changes—and what stays off-chain
Tokenization can make a financial interest divisible into smaller digital units and potentially streamline how eligible investors hold, transfer or settle that interest. Bitfinex identifies fractional ownership, faster settlement, continuous market access and potential use as collateral among the possible attractions of tokenized commodity exposure.
These are properties of the digital representation and the market infrastructure around it. They do not remove the institutions and contracts supporting the asset. A vault operator still holds the wire. Independent firms still need to inspect, value and audit it. An issuer and the relevant legal framework still determine investor rights, while compliance processes govern who can receive the token.
Consider a hypothetical transfer between two eligible ALKN holders. The on-chain transfer could update the token’s recorded holder under the whitelisting rules. It would not require the nickel wire to leave the Swiss vault or be physically divided. Nor would that transfer, by itself, answer whether a buyer can redeem metal; that depends on the contractual terms attached to the security.
For investors, the practical question is therefore not whether the token can move digitally. It is what exactly moves with it: the legal interest, the economic rights, the transfer restrictions and any claim connected to the underlying arrangement.
Official workflow diagram showing eligibility, issuer review and access to the ALKN capital raise and secondary market. — Source: Bitfinex Support
Custody, enforceability and liquidity are the constraints
Tokenization does not eliminate traditional financial and operational risks. The physical inventory remains dependent on custody arrangements, inspections, valuation review and audit. If any of those elements fails, a blockchain record alone cannot restore missing, impaired or incorrectly valued collateral.
Legal enforceability is equally important. A security token can accurately record a transfer, yet an investor’s ultimate protection rests on the legal documents, jurisdiction, issuer obligations and priority of claims. Prospective holders should distinguish between the existence of an on-chain token and the enforceable rights that token is intended to represent.
Valuation presents another issue. A token linked to inventory and an operating business may not trade in line with a simple quoted nickel benchmark. The assessed value of the specific wire, the terms of the structure and demand in the secondary market can all affect the price at which a holder can buy or sell.
The Bank for International Settlements’ Financial Stability Institute, summarizing work by the Financial Stability Board and BIS, has identified liquidity mismatches, valuation and oracle risks, operational and cyber vulnerabilities, legal uncertainty, third-party custody dependence and fragmented secondary-market liquidity as risks in tokenized arrangements. A compliant secondary venue may offer a route to trade, but it does not guarantee deep liquidity or an immediate exit at a desired price.
ALKN illustrates the essential trade-off. Blockchain infrastructure may modernize issuance and controlled transfer, but it concentrates attention on the things a token cannot independently verify: the asset’s custody, the quality of the legal claim, the accuracy of valuation and the availability of real buyers and sellers.
Frequently Asked Questions
Does ALKN give investors direct ownership of nickel wire?
No. ALKN represents a digital limited-partnership interest, rather than direct ownership of particular pieces or lengths of the Swiss-held nickel wire.
What physical asset is linked to the ALKN structure?
The stated inventory is 7,026,905 linear metres of 99.99%-pure, 0.025-millimetre NP1-grade nickel wire. Bitfinex says it is held in a Swiss vault by Helvetic Securgest.
What is the planned $50 million intended to fund?
Alkemya Metacore says the capital is intended for working capital, R&D, manufacturing and distribution of engineered nickel products through Green Transitional Metals.
Can anyone buy or transfer ALKN?
No. The structure uses whitelisted accounts, and holders must complete applicable KYC/AML requirements and investor-registration steps with the issuer.
Does a tokenized nickel security remove custody or liquidity risk?
It does not. The arrangement still depends on physical custody, verification, enforceable legal terms, valuation processes and a functioning secondary market among eligible investors.
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 ball drops through a triangle of pegs, bounces its way down, and lands in a slot carrying a multiplier. That is the whole game.
What makes Plinko worth understanding is that the odds are not set by the casino at all: they are set by the geometry of the board, and they have been calculable since the nineteenth century.
This covers where the numbers come from, what the three settings actually change, and why the biggest multipliers sit where they do.
A Board That Is a Probability Machine
Plinko's ancestor is the Galton board, a Victorian device built to demonstrate the binomial distribution. The modern game arrived via The Price Is Right in 1983 and reached crypto casinos largely unchanged in principle.
Every time the ball meets a peg it goes left or right, with equal probability. A drop is therefore a sequence of coin flips, and the landing slot is simply the tally of those flips. Many different paths lead to the middle; exactly one path leads to each far edge.
That is why the centre fills up and the edges almost never pay. It is not a design decision layered above the game. It is the direct arithmetic of how the ball travels.
What the Numbers Look Like
A board with n rows produces n + 1 landing slots. The probability of each is given by the binomial coefficient.
Rows
Landing slots
Centre slot probability
Single edge lane
8
9
Roughly 27%
About 1 in 256
12
13
Roughly 23%
About 1 in 4,096
16
17
Roughly 24.6%
About 1 in 65,536
The right-hand column is the one to sit with. On a full 16-row board, an individual edge lane comes up about once in every 65,536 drops. The advertised 1,000x multiplier is attached to that lane, and it is attached there precisely because the lane is almost never hit.
Large multipliers are not generosity. They are the price of rarity, calculated to hold the return where the provider set it.
Three Settings, and What Each One Does
Every Plinko interface exposes the same three controls. Only one of them changes anything about your odds of a given outcome.
Rows
Adding rows adds landing slots and stretches the distribution. More rows push the maximum multiplier higher while making the edges proportionally harder to reach. Fewer rows compress the board, lowering the ceiling and concentrating results near the middle.
Every headline multiplier you see quoted assumes the full 16 rows.
Risk Level
Low, medium and high rewrite the multiplier table without touching the physics. The ball still bounces the same way and still lands in the same distribution of slots. What changes is the payout attached to each slot.
High risk shifts value out of the centre and into the edges. Low risk raises the middle multipliers and flattens the extremes. The probability of landing anywhere is identical in both.
Return to Player
This is set by the provider, not the player. Published figures typically run between 97% and 99%, which puts Plinko among the better-priced games in a casino lobby. BGaming's version runs at 99%, Spribe's at 97%, and Pragmatic's Plinko+ at around 96%.
The house edge is therefore roughly 1% to 4% depending on whose Plinko you are playing, which is a bigger difference than most players check for.
One Setting That Does Not Help
Worth stating flatly, because it is the most common misunderstanding of the game.
The house edge is effectively identical across every risk level and every row count on a given provider's board. Switching from low risk to high risk does not improve your expected return; it widens the distribution of outcomes around the same expectation.
Low risk produces frequent small results and gentle drawdowns
High risk produces long stretches of sub-stake returns punctuated by rare large hits
Both return the same percentage over a long enough run
Choosing a risk level is choosing how the session feels, not how much it costs. Anyone selling a Plinko strategy is describing a variance preference.
Most Drops Land in the Middle
One practical consequence deserves attention because it shapes the experience.
On high risk, the central slots frequently carry multipliers below 1x, meaning a drop that lands in the most likely position returns less than the stake.
That is the mechanism funding the edge multipliers, and it means a high-risk session can grind a balance down steadily while the animation keeps showing the ball landing somewhere.
Watching the balance instead of the drop is the correction, and verifying that the outcome was not altered is a separate question from whether the game is priced in your favour.
Plinko Sits in Dexsport's Arcade Section
Dexsport carries Plinko within its quick-round arcade alongside Mines, Tower, Limbo and the crash titles.
As with every game in that section, the content is licensed from third-party studios instead of built in-house, which has a specific consequence for this format: the return figure, the multiplier table and the verification system all belong to the provider.
Two Plinko games in the same lobby can carry different returns, so the figure to check is the one in that title's information panel.
Demo versions are available across much of the section, which is genuinely useful here, since a hundred demo drops shows the distribution far better than any explanation of it.
The platform is non-custodial and holds an Anjouan licence, and provably fair implementations differ between platforms because they differ between studios.
Playing the Board With the Maths in View
Plinko is a well-priced game by casino standards and a completely transparent one mathematically.
The distribution is fixed by the board's shape, the risk setting redistributes multipliers without touching probabilities, and the provider's return figure is the only number that changes the cost of playing.
Check that figure before you drop anything, and treat the edge multipliers as what they are: outcomes priced for a lane you will almost certainly never hit.
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 in a format this quick, where drops resolve in seconds and a low house edge applied to hundreds of rounds still works steadily in the operator's favour.


Disclaimer: The information here is provided for general purposes only and is not legal, tax, investment, or financial advice. Probability figures are approximate and vary with the specific board configuration, and return figures vary by provider, 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.

Singapore, Singapore, August 27th, 2026, Chainwire
TermMax, a fixed-rate lending protocol built by Term Structure Labs, announced on August 26 that it has received a strategic investment from YZi Labs. Terms were not disclosed.
TermMax was selected for YZi Labs’ EASY Residency Season 3 and has raised more than $8 million to date. Its earlier backers include Cumberland DRW — which led the 2023 seed round — HashKey Capital, Decima Fund, Longling Capital and MZ Web3 Fund.
The protocol has been live on mainnet since April 2025 and now runs across 10 EVM-compatible chains, with 60 fixed-rate markets, 40 strategy vaults, tens of millions of dollars in total value locked and more than 1.5 million registered wallets. Keyrock, Hardcore Labs, Edge Capital and Origami serve as Curators, managing strategy vaults on the protocol. The $TMX token completed its TGE on August 25.
The investor’s own public position points to the gap this investment is meant to fill. In an August 14 post describing what it wants to see built, YZi Labs wrote that tokenized blue-chip equities have reached meaningful volume, but that the financial application layer around them — credit, collateral management, risk transfer and structured products — remains underdeveloped, and that options and other risk-transfer products in particular remain conspicuously absent.
YZi Labs placed this investment precisely where that gap sits.
“When I left banking, there were a few hundred billion dollars of assets sitting on-chain without a single directly observable interest rate curve between them. In traditional markets, that would be unheard of. That is what made me decide to build this infrastructure on-chain.” - Jerry Li, Co-founder and CEO, TermMax.
Tokenized equities are the fastest-growing asset class on-chain, now at $2.48 billion, with holder count up 165% in 30 days.
TermMax integrated Ondo Global Markets in January 2026 to launch the first fixed-rate borrowing market to accept tokenized U.S. equities as collateral, then added Binance’s bStock. In August it went live on Robinhood Chain, where QQQ, SPY and NVDA can be posted against USDG.
But financing is only half of what tokenized equities need. Nearly all of this year’s tokenized-equity infrastructure has gone into perpetual futures, and almost none into options.
TermMax Alpha is where that changes: physical delivery options, with no liquidation before expiry. The conversion price is fixed when the position is opened, and the position is settled by physical delivery at expiry. A directionally correct position therefore cannot be knocked out by a few minutes of volatile trading in thin liquidity — the failure mode that makes perpetuals unsuitable at the illiquid end of tokenized equities.
This no-liquidation design rests on a choice running through the whole protocol: when liquidation does happen, it settles by physical delivery, with collateral delivered directly to the lender rather than sold into the market. The usual assumption — that collateral can be sold at fair value on demand — holds for ETH and fails for a tokenized equity with a few million dollars of depth.
On the institutional side, TermPrime completed its first live trade on Canton Network at the end of June and has since grown its counterparty network to nine institutions.
TermMax runs an early validator node on Canton, and TermPrime is ready to support lending business for institutions there through open markets.
TermMax holds a DeFiSafety Process Quality Review score of 93%, matching Aave V3.
“What we set out to do is not to teach traditional institutions DeFi. It is to let DeFi grow into something professional enough to genuinely serve finance.” - Jerry Li, Co-founder and CEO, TermMax.
What TermMax wants to be is not another lending protocol, but the on-chain interest rate curve itself.
About TermMax
TermMax is a fixed-rate, fixed-term borrowing and lending marketplace built by Term Structure Labs, live on mainnet since April 2025 and deployed across 10 EVM-compatible chains, where it runs 60 fixed-rate markets and 40 strategy vaults. The protocol splits debt into three tradable tokens: FT (principal), XT (interest and option value) and GT (an ERC-721 receipt for leveraged positions). Professional Curators set target APR ranges across isolated markets and manage strategy vaults, and liquidations settle by physical delivery of collateral. Co-founder and CEO Jerry Li has 25 years in global financial markets and served as Managing Director at Deutsche Bank, running fixed income and FX for Greater China.
Website: https://ts.finance/
About YZi Labs
YZi Labs manages over $10 billion in assets globally. Our investment philosophy emphasizes impact first — we believe that meaningful returns will naturally follow. We invest in ventures at every stage, prioritizing those with solid fundamentals in Web3, AI, and biotech. YZi Labs’ portfolio covers over 300 projects from over 25 countries across six continents. Some notable portfolios include Trust Wallet, CoinMarketCap, Polygon, Injective, Ethena, SafePal Wallet, Better Payment Network, Aster, XAI, and more. More than 65 of YZi Labs’ portfolio companies have gone through our incubation program, EASY Residency. For more information, follow YZi Labs on X (@yzilabs).
ContactTermMax Marketing Teamhello@cipherdance.com
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 Bank of England’s June framework allows systemic stablecoin issuers to hold up to 70% of backing assets in interest-bearing short-term UK government debt, up from 60% in the Bank’s 2025 proposal. The remaining balance would sit in Bank of England deposits, preserving a pool intended to support immediate redemptions.
That adjustment is important because it makes the economics of a payment stablecoin less punitive without abandoning the liquidity safeguards that distinguish it from an ordinary investment product. Now the government wants the Bank’s remit to include a secondary objective to support innovation in payment systems and emerging digital money—an explicit instruction that commercial feasibility should matter, though not more than financial stability.
An innovation objective for systemic stablecoins
On August 27, HM Treasury announced plans to give the Bank the secondary objective. Financial stability would remain its primary objective, and the Bank would have to report annually to Parliament on its progress.
The proposed change is not a general instruction to promote all forms of cryptoasset activity. It is intended to extend the Bank’s existing innovation mandate for central counterparties and central securities depositories to systemic payment systems, including those using digital settlement assets such as stablecoins. In practical terms, it brings an innovation consideration into the part of the market where a stablecoin’s payment use has become large enough—or potentially risky enough—to warrant Bank supervision.
The statutory route matters. The government expects to amend the Financial Services and Markets Bill, with House of Lords debates scheduled for September 7 and 9, 2026. Annual reporting creates a measure of public accountability, but the objective’s significance will ultimately depend on how it is reflected in supervisory decisions and final rules.
The policy tension is already visible in the Bank’s framework. Ministers are seeking a regulator that can accommodate new payment infrastructure; the Bank is designing a regime on the premise that a stablecoin used at scale can affect the wider financial system. The new objective formalises pressure to navigate that tension rather than resolving it in favour of looser rules.
Reserves and issuer economics
The Bank’s June policy statement allows 70% of backing assets to sit in interest-bearing short-term UK government debt and requires the remaining 30% to be held in Bank of England deposits. The Bank’s announcement identifies the purpose as improving issuer economics while preserving immediate redemption liquidity.
The same framework abandons proposed temporary individual holding limits. Instead, it sets a temporary aggregate issuance guardrail of £40 billion for each systemic stablecoin.
Its stated aim is to protect credit supply during the transition to a new form of money. The restriction applies at system level rather than user level: households and businesses remain free to use systemic stablecoins without individual caps.
Payment use, not yield
The same distinction runs through the Bank’s approach to returns. Issuers will be prohibited from paying interest linked to holding or retaining a systemic stablecoin. They may, however, offer payment-linked incentives, discounts and rewards, under the Bank’s policy statement.
This line is designed to keep a systemic stablecoin in the category of payment money rather than turn it into a yield-bearing alternative to a deposit or investment product. It also leaves issuers and payment providers with ways to encourage use at checkout or within payment networks. A discount for paying with a coin and interest for simply holding it may both be commercially valuable, but the regulatory treatment separates their economic roles.
The removal of individual holding limits fits that model. Households and businesses can use a systemic stablecoin without a personal ceiling, provided total issuance remains inside the temporary £40 billion guardrail. For payment adoption, that is more permissive than a rule that treats every large user balance as inherently problematic.
It does not mean systemic stablecoins will compete on every dimension with bank deposits. The regime permits a reserve structure that can support an issuer, but it prevents the issuer from sharing returns with coinholders merely for retaining the token. That boundary may narrow the appeal for users seeking yield, while focusing competition on payments functionality, incentives and acceptance.
A narrow systemic market
The Bank’s innovation objective will apply to a narrower market than discussion of “stablecoin regulation” can imply. Its rules cover only stablecoins recognised as systemic by HM Treasury: coins widely used in payments or otherwise capable of threatening UK financial stability.
Stablecoins are predominantly used today for cryptoasset trading, and that activity remains outside the Bank’s systemic regime and solely under Financial Conduct Authority supervision. The Bank’s framework is therefore not a rulebook for the dominant current use of stablecoins; it is a framework for the potential payment-market segment that reaches systemic importance.
This institutional divide also produces two implementation tracks. The Bank intends to finalise its Code of Practice by the end of 2026, and expects regulated stablecoins to operate in the UK from 2027. The FCA’s broader cryptoasset regime, including stablecoin issuance, is scheduled to begin in October 2027.
The timing suggests that the policy debate is not only about the destination of UK stablecoin regulation but also about which regulator governs which activity as the market develops. A payment coin that becomes systemically significant would be subject to a different regulatory logic from a stablecoin used mainly in crypto trading, even if both are described with the same label.
Innovation does not create insured money
Systemic stablecoin holdings will not be covered by the Financial Services Compensation Scheme.
If backing assets and reserves prove inadequate in a failure, coinholders could receive less than 100 pence per pound, the Bank says. It compares their position to that of uninsured bank depositors.
Stronger regulation may reduce or manage risks without transferring failure losses to the FSCS. The Bank says regulated systemic stablecoins may begin operating from 2027, but they would remain regulated payment instruments rather than insured money held in protected bank deposits.
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 SEC’s crypto-custody shift in 2026 is less a finished rulebook than a set of separate regulatory pathways with different legal weight. The agency’s broader custody modernization effort remained at the proposed-rule stage as of Aug. 27, 2026, while registered advisers, regulated funds and broker-dealers have been offered narrower forms of staff relief or guidance.
That distinction matters. A headline suggesting that the SEC has broadly opened crypto custody would miss the practical issue facing firms: whether a particular legal entity, asset and operating model fits one of the available routes. The agency’s emerging approach could widen institutional access, but it puts substantial weight on custody design, documentation and safeguards rather than simply on a custodian’s label.
The SEC’s custody framework remains unfinished
The SEC’s Unified Agenda entry describes a planned framework intended to clarify crypto-asset custody by investment advisers and investment companies and modernize outdated custody provisions. But an agenda item is not an adopted rule, and the initiative still appeared to be proposed rather than final as of Aug. 27.
The gap between the broader project and the relief already available is central to the 2026 landscape. On Sept. 30, 2025, SEC staff issued a no-action letter that conditionally permits registered investment advisers and regulated funds to treat qualifying state-chartered trust companies as banks for crypto-asset custody. That is a usable route for eligible firms, but not a revision of the underlying statutory custodian definitions.
Commissioner Hester Peirce underscored that limit in a statement accompanying the relief. The no-action position applies only to crypto assets and related cash within the relevant Advisers Act or Investment Company Act custody provisions; it does not expand the statutory definition of a permissible custodian. In other words, the SEC has provided an enforcement position in a defined setting rather than a permanent, universal custody solution.
Advisers and funds gain a conditional state-trust-company route
For advisers and regulated funds, the state-trust-company letter is the most immediate operational development. It gives qualifying state-chartered trust companies a path to act in a role that, for the limited purpose of the staff position, can be treated as bank custody for crypto assets.
The route is deliberately conditional. The staff letter requires state authorization and written protections against theft and misuse. Advisers and funds must conduct due diligence and obtain audited financial information, while the custody arrangement must address segregation, prohibit rehypothecation and include risk disclosures.
Those conditions make the relief more than a question of charter status. A firm considering a state trust company must be able to demonstrate that its diligence and contractual arrangements satisfy the letter’s safeguards. The practical effect is to create a potential additional provider category, while leaving managers responsible for testing the resilience and legal terms of the individual arrangement.
That may be especially consequential where a manager’s custody decision has previously been constrained by the availability of traditional providers willing to support particular crypto assets or workflows. Yet the letter does not eliminate the need to map assets and cash to the applicable custody provisions, or to establish that the trust company qualifies under the terms of the staff position.
Custody controls over custodian labels
The SEC Crypto Task Force’s December 2025 custody-modernization framework points toward a broader change in emphasis. Its proposal would allow registered investment advisers to use qualified custodians and certain non-qualified safeguarding arrangements under a reasonableness standard.
Rather than treating custody as a binary question answered entirely by an institution’s category, the framework identifies the controls surrounding an arrangement. It contemplates multi-signature and multiparty-computation controls, contractual protections, asset segregation and independent verification.
That approach is potentially significant for institutional crypto operations because key management and transaction authorization can be distributed across parties and systems. A firm may be able to build protections through the allocation of authority, verification and contractual duties, not solely by placing assets in a conventional custody structure. But the same flexibility shifts more of the compliance burden into the architecture of those controls.
Multisignature or multiparty-computation technology, on its own, would not answer every custody question under the proposed approach. The framework also contemplates segregation, contracts and independent verification. For advisers, the evidence trail supporting each element could become as important as the underlying technology: who can authorize transfers, how assets are separated, what protections apply on paper, and how the arrangement is checked independently.
That is why the proposal should not be read as a simple deregulatory expansion. It could increase the number of possible custody configurations, but only by making reasonableness assessments and control documentation more important. Until a final rule exists, firms also face the ordinary challenge of building around a framework whose ultimate terms may change.
Broker-dealer exchanges face a separate stack
Exchanges operating through broker-dealer entities should not assume that the adviser-and-fund custody pathway applies to their business. In a Dec. 17, 2025 statement, the SEC Division of Trading and Markets said a broker-dealer may treat itself as having physical possession of customer crypto-asset securities if it can access and transfer the assets, assess the relevant distributed-ledger technology, protect private keys, and maintain contingency procedures for forks, attacks, freezes, bankruptcy and other disruptions.
The statement is expressly interim staff guidance and addresses only the physical-possession prong of Rule 15c3-3; it does not resolve other broker-dealer financial-responsibility obligations. Nor does establishing physical possession clear an exchange’s broader operating model. Custody, trading, lending and clearing may raise distinct regulatory issues, and the SEC noted that those functions may require separate legal entities, registrations, controls or approvals.
State-trust access tests investor protection
The state-trust-company relief is also where the policy trade-off is clearest. It can broaden the pool of custody providers available to advisers and funds, potentially reducing a structural bottleneck in institutional crypto access. But Commissioner Caroline Crenshaw argued that state-chartered trust companies may not offer the same protections as traditional custodians.
In her response to the no-action relief, Crenshaw warned that the conditional approach could weaken the established trust-based custody regime. The disagreement is not merely about whether crypto assets deserve specialized operating controls. It is about whether those controls, diligence requirements and disclosures can adequately substitute for protections associated with traditional custody categories.
The SEC staff letter attempts to manage that concern through audited financial information, segregation, anti-rehypothecation terms and other conditions. Its narrow scope, however, also preserves the unresolved policy question. If the broader modernization project eventually reaches a final rule, the agency will need to decide how far a controls-based framework can extend without diluting the investor protections that custody rules are meant to preserve.
For now, the broker-dealer statement remains interim and confined to one prong of Rule 15c3-3, while the adviser and fund relief does not alter the statutory custodian definition. The apparent expansion is real, but it is fragmented—and state-trust-company access remains subject to the investor-protection concerns Crenshaw raised.
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.

Core Lightning confirmed multiple previously undisclosed vulnerabilities on August 27 and told node operators to upgrade to an upcoming security release.
For operators who cannot upgrade immediately, the interim instruction is to restart the node with --offline. The daemon continues running in that mode, but payments and routing are disabled, leaving operators to choose whether to retain Lightning payment activity while awaiting the security release.
Public information did not establish which versions are affected or whether the newly disclosed vulnerabilities have been exploited.
August 27 advisory and offline fallback
According to the August 27 report, Core Lightning advised operators to install the forthcoming security update when possible; those unable to do so immediately were instructed to restart with --offline.
The fallback keeps the Core Lightning daemon running but prevents the node from making payments or routing them for others, interrupting service for operators that rely on routing activity or direct Lightning payments while the security build remains pending.
According to the August 27 report, the advisory provided no public release timetable or more granular mitigation by release branch or configuration. The disclosure did not establish that a specific installed version was safe or identify which particular vulnerability was being addressed.
Undisclosed scope and exploit status
Core technical particulars remained undisclosed as of the advisory date. There was no public list of affected versions, no CVE identifiers, no description of the vulnerability mechanics, and no stated exploitation status or loss figures.
Those omissions matter because they limit the checks an operator can perform before the official release arrives. The disclosure confirms that multiple vulnerabilities exist and that the project considers an upgrade necessary, but it does not support conclusions about the attack path, exposure of an individual node, or whether any funds were lost.
It is also important not to merge the August advisory with prior Core Lightning reports solely because all concern the same implementation. Earlier 2026 disclosures were public and technically described. The August issues were still undisclosed, so the available record does not establish that they are identical to those earlier bugs, related to them, or resolved by the same versions.
Earlier 2026 denial-of-service disclosures
Two prior disclosures nevertheless illustrate the kind of operational disruption that has appeared in publicly documented Core Lightning security work this year. On July 19, a Delving Bitcoin disclosure described two separate remotely triggerable memory-exhaustion denial-of-service flaws.
One affected connectd and was fixed in v26.04. The other affected gossipd and was fixed in v26.06rc2. Both could be triggered by flooding a node with valid-looking channel_update gossip messages, according to the disclosure.
A separate report published May 16 described an assertion-based denial-of-service issue during channel opening. A remote peer could crash Core Lightning by sending a crafted message with an all-zero funding transaction ID; the public disclosure said the issue was fixed in Core Lightning v26.04.
These reports provide useful context for operators reviewing their software maintenance practices, but they are not a technical explanation of the August advisory. The project has not publicly tied the newly confirmed vulnerabilities to the memory-exhaustion or channel-opening flaws.
Official signed release channel
The practical next step is to monitor the official release channel instead of relying on circulating version claims or unofficial builds. The ElementsProject Core Lightning releases page is the project’s release source and identifies Core Lightning as a Blockstream-maintained Lightning Network implementation.
When the security release appears, operators should apply only the project’s signed security build. Until then, the confirmed interim measure for operators who cannot upgrade is a restart with --offline, with the associated halt to payments and routing.
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 briefly reached $80,475 on August 27 before trading near $79,520, putting the market within touching distance of—and then just below—the closely watched $80,000 level. The price test came after U.S. spot Bitcoin exchange-traded funds took in roughly $2.8 billion over eight consecutive trading sessions through August 26.
That is meaningful demand by any recent measure. Yet the move should not be reduced to a simple story of ETF buying lifting Bitcoin through a round-number barrier. Daily ETF inflows had already slowed from their August 20 peak, the latest day’s demand was heavily concentrated in BlackRock’s IBIT, and the rally was accelerated by a major short-liquidation event. A trade above $80,000 is therefore not the same thing as a confirmed breakout.
The $2.8 billion ETF streak is substantial, but daily momentum has cooled
The eight-session run delivered approximately $2.8 billion in net inflows to U.S. spot Bitcoin ETFs through August 26, according to Decrypt. The preceding week was particularly strong: reported inflows of about $1.92 billion for the week ended August 22 marked the strongest weekly total since October 2025 and the best weekly result of 2026 at that point, according to Bitkan, citing SoSoValue and market data.
Those figures help explain why Bitcoin has been able to revisit $80,000. Multi-session net inflows point to a sustained period in which more capital entered the funds than left them. This is materially different from attempting to interpret a price move through one day of fund data or one sharp move in derivatives markets.
But the composition over time matters as much as the cumulative total. Daily net inflows peaked at $606 million on August 20 and had fallen to $232.2 million by August 26. The latter remains a positive number, but it is less than half the peak reached six days earlier.
That deceleration does not establish that demand is ending. It does mean, however, that the latest price test occurred as the daily pace of reported fund buying was cooling rather than building. For a market confronting a highly visible price threshold, the distinction is important: a large cumulative flow streak can support the broader recovery without providing evidence that marginal demand is intensifying at the exact point of resistance.
IBIT supplied most of the latest demand while GBTC remained a drag
The August 26 headline masks a sharp issuer split: BlackRock’s IBIT attracted $200.8 million, while Grayscale’s GBTC recorded $50.4 million in outflows, according to Bloomingbit, citing Farside Investors.
IBIT therefore supplied most of the day’s $232.2 million net inflow into U.S. spot Bitcoin ETFs. The aggregate figure remains positive, but the issuer-level data show that demand was not evenly distributed; the result relied principally on IBIT while GBTC continued to see redemptions.
Daily net flows offer a clear, comparable gauge of money entering or leaving the U.S. spot ETF group, yet they can obscure the composition of that demand. The reported data support an aggregate-demand conclusion, not a conclusion that participation was broad across every issuer.
The run to $80,475 was amplified by forced short buying
During the recent squeeze window, U.S. spot Bitcoin ETFs recorded $2.23 billion in inflows, according to Glassnode-linked analysis. August 19 also brought the largest single-day short-liquidation event in the data set since 2019; short positions represented 85% of liquidations, according to FXStreet’s summary of Glassnode research.
Forcibly closed shorts can require traders to buy back Bitcoin or otherwise close exposure. That purchase pressure can accelerate a rising market and push it quickly through nearby levels, particularly when underlying demand has improved.
Read together, the August data show substantial ETF inflows alongside unusually one-sided short liquidations. The forced buying helps account for the speed of the advance toward $80,000, while the fund-flow streak indicates that the move did not arise solely from derivatives positioning. Its effect is temporary by nature: as vulnerable short positions are closed, that source of mechanical demand can diminish even if ETF inflows stay positive.
Bitcoin still faces $83,000–$86,000 after the $80,000 test
Bitcoin’s intraday high of $80,475 put it above the round-number threshold, but it was trading near $79,520 on August 27. The difference between an intraday move and sustained trading above a level is not merely semantic in a market where large price markers can concentrate attention and positioning.
More importantly, Glassnode identified $83,000 to $86,000 as a significant overhead resistance region. That places a further market-structure test above $80,000 rather than treating the psychological level as the final obstacle.
The historical relationship cited by Decrypt also argues against assigning a fixed price outcome to a flow total. HashKey research found a positive but limited correlation between daily ETF flows and Bitcoin’s price, with a coefficient below 0.5. Its estimate suggested roughly a 0.4% Bitcoin move for each $100 million of net inflows, while cautioning that one day’s flows have weak predictive power for the following day.
That finding fits the current sequence. Eight positive sessions are relevant market evidence, particularly alongside the $1.92 billion weekly result. But they do not turn the path from $80,000 to the $83,000–$86,000 zone into a mechanical calculation. Price can reflect fund flows, derivatives liquidations and the market’s response around established resistance at the same time.
July showed how quickly an ETF inflow streak can reverse
Recent history provides a reason to avoid treating consecutive positive ETF days as a standalone confirmation signal. A seven-session inflow streak in July collected nearly $1 billion before ending abruptly with a $225.18 million outflow day, Investing.com reported. July 2026 was described as the year’s weakest month for Bitcoin ETF flows.
The current eight-session streak is larger and follows a stronger reported weekly impulse than that July episode. Still, the comparison underscores the narrow point that a streak measures what has happened over a defined set of sessions; it does not guarantee the next session will extend it.
For Bitcoin, the immediate question is therefore not simply whether it has touched $80,000. The stronger test is whether ETF demand remains sufficiently durable after daily inflows have eased, without relying on another burst of short covering, as the market approaches the $83,000–$86,000 resistance region.
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.

On August 26, 2026, StarkWare reported that a QSB transaction had been mined on Bitcoin mainnet without changing Bitcoin’s consensus rules. The report concerns a construction—not a network-wide change—that places particular bitcoin outputs behind an additional hash-based condition while retaining Bitcoin’s existing elliptic-curve authorization.
Using currently accepted rules, a sender can move coins into a specially constructed output with this more narrowly scoped protection. QSB therefore does not make the Bitcoin network universally quantum-resistant, replace Bitcoin’s signature system, or retroactively protect all coins.
What StarkWare’s quantum-safe Bitcoin transaction actually changed
Bitcoin transactions normally rely on elliptic-curve cryptography to establish who may spend an output. QSB adds a separate hash-based lock, making spending depend on a condition designed to rest on the difficulty of reversing a hash rather than solely on recovering a private key. A holder moves coins into a hash-dependent output and later uses the method to spend that output.
According to StarkWare’s announcement, that construction was used in a Bitcoin mainnet transaction without changing Bitcoin consensus rules or requiring nodes and miners to validate a new signature algorithm. Its backward compatibility is limited to existing consensus accepting the transaction; QSB is not a blanket security upgrade for every address or unspent output.
The quantum threat targets exposed elliptic-curve public keys
QSB addresses a defined quantum risk: Bitcoin’s elliptic-curve signatures are vulnerable in principle to Shor’s algorithm, which could allow a sufficiently capable quantum computer to derive a private key from an exposed public key. This is a threat to conventional public-key authorization’s mathematical foundation, not evidence that quantum computers can immediately seize every bitcoin.
Its protection depends on timing and output type. StarkWare says already exposed public keys are outside the method’s protection; coins must instead be moved into a QSB-style, hash-dependent output. The construction places a hash-based lock alongside Bitcoin’s existing elliptic-curve authorization, rather than making Bitcoin universally quantum-safe or replacing its cryptographic design.
That targeted approach fits the broader post-quantum landscape. The National Institute of Standards and Technology lists hash-based signatures, including SLH-DSA, among its post-quantum cryptography standards and warns that quantum computing threatens many widely used public-key systems. QSB’s potential usefulness lies in that hash-dependent spending condition, not in a wholesale redesign of Bitcoin’s cryptography.
How signature grinding turns a transaction hash into a second lock
The unusual part of QSB comes when the protected output is spent. The sender does not produce an ordinary elliptic-curve signature in the usual way for this component. Instead, the sender searches off-chain for a transaction whose hash can be accepted as a validly formatted Bitcoin signature.
This search process is known as signature grinding. The sender varies transaction details and hashes candidate transactions until finding one that satisfies the required signature-format rules. Once a satisfactory candidate is found, the transaction can be submitted for mining.
A simplified sequence looks like this:
A holder moves bitcoin into an output incorporating the hash-dependent QSB condition.
When spending, the holder constructs candidate transactions off-chain.
The holder repeatedly hashes candidates, searching for a result that meets Bitcoin’s signature-format requirements.
The successful transaction is sent for mining and, once confirmed, spends the protected output.
The security premise is hash preimage resistance: an attacker should not be able to work backward from the relevant hash value to obtain the required input. The associated QSB research paper describes the construction in those terms and says it modifies Binohash by replacing its non-quantum-safe component with a hash-to-signature puzzle.
That differs from simply attaching a second conventional key to an output. The additional condition is arranged so that the transaction hash itself serves a role in satisfying Bitcoin’s existing signature-format expectations. The result is clever precisely because it works within the rule set already deployed, but that compatibility comes with a substantial computational burden.
Why the transaction reached mainnet without a soft fork
A soft fork changes the set of transaction forms that upgraded nodes treat as valid, while remaining compatible with older nodes in a defined way. QSB did not require that process for its mainnet demonstration because the resulting transaction was accepted under existing consensus rules.
Consensus acceptance and ordinary network propagation are not the same thing, however. StarkWare says the QSB transaction format is nonstandard and required a direct mining route rather than normal network relay. In practical terms, a sender could not assume that standard transaction relay channels would carry the transaction through the network in the same manner as a conventional payment.
That separates the roles of the main participants. The sender performs the costly off-chain search. A miner willing and able to receive the transaction directly can include it in a block. Bitcoin’s consensus rules then determine whether the block and transaction are valid. The proof of construction established that these pieces could work together on mainnet; it did not establish frictionless wallet support, standard mempool relay, or broad mining availability.
Which coins QSB can protect—and which it cannot
QSB can apply to coins that are deliberately moved into the new hash-dependent output. The timing of that move matters because the approach is aimed at avoiding reliance on an elliptic-curve public key that has already been exposed under the transaction’s threat model.
It cannot protect addresses whose public keys were previously exposed, according to StarkWare. Nor does the existence of one mined QSB transaction alter the security properties of bitcoin that remain in ordinary outputs. A holder must take the specific action of moving eligible coins into the construction before receiving its intended protection.
The more immediate practical limitation is computation. The open-source implementation by Avihu Levy describes signature grinding as requiring substantial computation. This is not comparable to generating a routine signature in a wallet. The sender must search for a transaction hash with the needed characteristics, and the cost of that search constrains routine use.
The direct-mining requirement adds another operational constraint. Even if a user can perform the search, they need an available route to a miner for a nonstandard transaction. QSB thus demonstrates an available construction under present rules, rather than a plug-and-play spending method for the average Bitcoin wallet user.
Official announcement graphic for the first quantum-safe Bitcoin transaction mined on mainnet without a soft fork. — Source: StarkWare
QSB versus a protocol-level quantum migration such as BIP 360
QSB and a protocol proposal such as BIP 360 address related concerns at different layers. QSB is a workaround built from existing consensus behavior: it creates a particular kind of output and uses off-chain grinding to form a spend that Bitcoin can accept today.
BIP 360, by contrast, proposes Pay-to-Merkle-Root as a new soft-fork output type. The proposal is intended to support quantum-resistant script trees and reduce exposure to future attacks on elliptic-curve cryptography. Because it would introduce a protocol-level output type, it depends on the Bitcoin ecosystem’s process for considering and activating soft forks.
The comparison is not one of competing claims that Bitcoin is already or not yet “quantum safe.” They solve different implementation problems. QSB demonstrates that selected coins can receive a hash-based layer without a consensus change, at the cost of expensive computation and nonstandard transaction handling. A protocol-level migration would seek more systematic support, but would require agreement on new rules and deployment.
StarkWare’s mined transaction is consequently best read as evidence about construction feasibility. The underlying risk remains the prospective ability of a sufficiently capable quantum computer to exploit exposed elliptic-curve public keys through Shor’s algorithm. The demonstration provides one way to protect certain newly moved outputs against that particular concern, not a completed migration for Bitcoin as a whole.
Frequently Asked Questions
Did StarkWare make all Bitcoin quantum-resistant?
No. The QSB construction protects only coins moved into its hash-dependent output and does not change Bitcoin’s consensus rules or the security of all existing outputs.
What is signature grinding in the QSB method?
It is an off-chain search for a spending transaction whose hash meets Bitcoin’s signature-format requirements. The search is computationally intensive under the currently described implementation.
Why is an exposed public key relevant to quantum risk?
QSB does not protect keys that were already exposed: if a sufficiently capable quantum computer existed, Shor’s algorithm could, in principle, derive a private key from an exposed elliptic-curve public key.
Did the QSB transaction require a Bitcoin soft fork?
No: it was mined under existing consensus rules. Its format was nonstandard, however, so it required a direct route to a miner rather than ordinary network relay.
How does QSB differ from BIP 360?
QSB is a transaction-level construction using present rules. BIP 360 proposes a soft-fork output type, Pay-to-Merkle-Root, intended to support quantum-resistant script trees at the protocol level.
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.