Crypto World
Why Perfectly Fair Crypto Transaction Ordering Isn’t Achievable
Today’s blockchains already treat consensus as a matter of two properties: nodes must agree on the same history (consistency) and the system must keep processing transactions (liveness). But that framing leaves a crucial gap—what users ultimately care about is not only whether transactions get confirmed, but whether their relative ordering is meaningfully fair when multiple parties submit transactions that can interact economically.
A new line of research is trying to formalize “transaction order fairness” and map out what is possible under real-world networking constraints. The core takeaway: perfect “first-come, first-served” ordering is mathematically out of reach in asynchronous distributed systems, even before considering adversaries. The practical question becomes how to approximate fairness while keeping liveness and minimizing opportunities for extractive behavior.
Key takeaways
- Perfect receive-order fairness (“first-seen, first-executed”) cannot be guaranteed on public networks because messages arrive at different times and there is no shared clock.
- Even when each node has a clear local arrival order, group preferences can conflict—captured by the Condorcet paradox—making a single linear order impossible to satisfy.
- Hashgraph’s fairness model uses a DAG of events with median timestamps to respect causal relationships while bounding how far adversarial influence can shift ordering.
- BOF-style protocols (from the Aequitas/Themis line of work) relax fairness by ordering transaction “batches” derived from Condorcet cycles, enabling stronger liveness guarantees.
Why “fair ordering” is harder than it sounds
In public blockchains, ordering isn’t just an implementation detail—it can decide who captures value and who pays. When privileged roles like block builders or sequencers determine execution order, they can potentially exploit that power through strategies that front-run, back-run, or sandwich transactions. Research on maximal extractable value (MEV) describes this as a direct consequence of who can influence ordering.
To counteract this, some proposals treat transaction ordering fairness as a third consensus objective alongside consistency and liveness. The general idea is to constrain the block producer’s ability to bias ordering beyond what the network conditions and protocol rules imply—making execution more predictable and less vulnerable to systematic exploitation.
But the most intuitive fairness notion runs into a structural limitation. In an asynchronous distributed system, there is no globally defined reception order because different nodes observe transaction messages at different times. Without a shared clock and with arbitrary message delays, no protocol can ensure that every node’s “arrival order” maps perfectly onto a single network-wide execution order.
The Condorcet paradox: why majority “first” can loop
The strongest form of fairness is often described as Receive-Order-Fairness (ROF): if most nodes receive transaction A before transaction B, then A should be processed before B. ROF sounds straightforward, but the network reality undermines it. Nodes see messages at different speeds, so different nodes can legitimately observe different pairwise “firsts.” Even if those local observations are consistent for each node, the collective can still become inconsistent.
This is where the Condorcet paradox comes in from voting theory, and it translates cleanly to distributed ordering. Even when each participant has an internal preference for which of two items comes first, the majority preference across multiple pairs can form a cycle:
- Most nodes see A before B
- Most nodes see B before C
- Most nodes see C before A
When that happens, there is no single linear ordering that satisfies all majority pairwise preferences. The implication for blockchain consensus is direct: if fairness is defined too strictly in terms of majority “first-seen” comparisons, the protocol may be unable to produce any ordering that matches the majority view across all pairs.
Because of this impossibility, systems aiming for “fairness” must adopt weaker—but more achievable—guarantees.
Hashgraph’s approach: DAG causality plus median timestamps
Hedera’s hashgraph algorithm tackles transaction ordering fairness through a leaderless, event-driven model. According to the described model, transactions are transformed into cryptographically linked events inside a directed acyclic graph (DAG). Consensus ordering then emerges from how nodes collectively observe and sign those events, rather than from a single proposer unilaterally choosing a sequence.
Operationally, when a node receives a transaction, it creates an event and gossips it to peers. Subsequent events record hashes of earlier events they have seen, and nodes digitally sign the result. This creates a provable causal structure: if one event is an ancestor (direct or indirect) of another, the protocol provides a cryptographic guarantee about which event was created first by some node.
The ordering logic then distinguishes between events with causal relationships and those that are concurrent. Events connected by DAG ancestry are ordered according to their causal dependencies. For concurrent events (those without ancestor relationships), the protocol resolves relative ordering using a “round-received” concept and then refines that using median timestamps.
Median timestamps, as described, are derived from a set of node-reported local receive times, but constrained by the hashgraph’s ancestry. That constraint matters: nodes cannot claim to have observed an event before its causal predecessors without creating detectable inconsistency in the DAG. Under the standard assumption used in Byzantine fault tolerance—fewer than one-third of nodes are Byzantine—the median timestamp should remain within a bounded range of honest timing reports, limiting adversarial ability to arbitrarily skew ordering.
However, hashgraph’s fairness is not infinite. The described research emphasizes that fairness is bounded by an adversarial “surface” where a node can still influence its gossip behavior: which events it relays first and whether it delays relaying. While the DAG cannot fabricate a false causal history, strategic propagation patterns can reshape the inputs that ultimately feed into median timestamp computation.
There is also the Condorcet paradox risk for concurrent events. The DAG eliminates ambiguity for causally linked events because the ancestry is fixed at creation. But concurrent events can still be observed in different orders by different nodes, leaving some ordering tension that is then handled by the protocol’s round and median mechanisms.
BOF protocols: fairness by collapsing Condorcet cycles
Another line of work frames fairness differently—by explicitly embracing cycles. BOF (Batch-based Order Fairness) protocols define “blocks” as sets of transactions that form a Condorcet cycle, then enforce fairness at the level of how those blocks relate, while allowing arbitrary internal ordering inside each block.
In the BOF formulation described, fairness is controlled by a parameter γ: if a sufficient fraction γ of nodes observe block b before block b′, then honest nodes cannot output b after b′. When fairness constraints induce a cyclic relation, the protocol collapses the strongly connected component (SCC) into a single batch/block, because no linear order can satisfy all the directed constraints simultaneously.
A key practical point is that this approach relaxes strict ROF requirements. When a cycle occurs, internal ordering becomes irrelevant to the fairness guarantee, since the protocol treats the entire cycle participation as atomic at the batch level. The research description notes that deterministic rules (such as a hash-based rule) may then sort transactions within the batch, but the fairness criterion does not attempt to make those internal orders correspond to any global first-seen preference.
The Aequitas protocol line is described as having weaker liveness: its strict fairness constraints require waiting for complete Condorcet cycles, and if cycles can chain indefinitely, finalization delays could grow without bound—creating a “freeze” risk.
Themis is introduced as a refinement intended to preserve γ-BOF while improving liveness. As described, Themis also builds a dependency graph and collapses SCCs during a “FairFinalize” stage, but it avoids waiting for the full cycle to close. Instead, it uses deferred ordering and “batch unspooling” so SCCs can be output incrementally while new transactions keep flowing. The result, as presented, upgrades Aequitas’ weak liveness into standard liveness with a delay bound.
Themis also addresses communication scaling concerns. In its basic form, participants exchange messages with most other nodes, leading to communication growth roughly proportional to the square of the network size. An optimized variant, SNARK-Themis, replaces much of that direct exchange with succinct cryptographic proofs, so verification can scale more efficiently as the node count increases.
Finally, the protocol design includes a mechanism to prevent denial-style manipulation. If a malicious proposer tries to exploit the system by proposing an empty block, Themis’s deferred ordering accepts a partially ordered batch and leaves exact finalization to a subsequent honest proposer, based on verifiable transaction relationships rather than discretionary choices by the current proposer. This is framed as a way to tie finalization to bounded network delay rather than arbitrary proposer behavior.
What to watch next
The central unresolved question across these approaches is how to balance fairness guarantees against the operational costs—especially complexity, communication overhead, and the practical handling of concurrency. As more consensus designs incorporate formal ordering fairness ideas, investors and builders should watch for implementations that demonstrate bounded delays in real network conditions while maintaining robustness against adversarial reordering.
Cboe, one of the largest U.S. derivatives exchanges, said it is entering the prediction-market arena and is reviving binary options on the S&P 500 index after abandoning them more than a decade ago, a move that brings it into competition with platforms such as Kalshi and the crypto-native Polymarket.
A binary option is a yes-or-no bet that pays a fixed amount if an outcome occurs, in this case whether the benchmark U.S. equity index crosses a specific level. That is close to what Polymarket and Kalshi already offer, though their offerings go beyond stock market forecasts to cover political and sporting outcomes as well as other topics.
The introduction follows Cboe’s success with same-day S&P 500 options, contracts that expire within hours and now make up about 30% of U.S. options volume, calling attention to the demand for fast, outcome-based trades.
“Investors increasingly seek products that allow them to express a specific view on future events and market outcomes,” said Milan Galik, CEO of Interactive Brokers, which is carrying the binary contracts, in a statement.
The contracts will also become available on Charles Schwab later this year.
Second time round
Cboe has tried this market before. It first listed binary options on the S&P 500 and the Cboe Volatility Index in 2008, but they failed to draw interest and were pulled, with the last such contract expiring in 2017.
YZi rejected suggestions that the settlement amounts to a takeover, a person close to the settlement told CoinDesk in an interview, describing it instead as a governance reset intended to unlock shareholder value. The firm also stressed that Binance founder Changpeng “CZ” Zhao was not involved in the initiative.
The investment firm was rebranded from the venture arm of crypto exchange Binance in 2024. Following Zhao’s release from prison that year, he took a more active role in venture project. YZI Labs is often referred to as Zhao’s family office – the name for an investment vehicle that manages a family’s wealth. YZi, however, says its structure is different, as it does not involve itself in estate planning, tax structuring and other similar functions.
YZi’s goal is to reposition CEA as a leading BNB treasury vehicle, comparable to Strategy’s (MSTR) role in bitcoin markets. The firm argues that CEA’s shares trade at a significant discount to the value of its underlying BNB holdings, a gap it believes can be narrowed through governance reforms and a clearer operating strategy.
The move comes as digital asset treasury companies enter what some investors describe as a second phase of development. While early treasury firms focused primarily on accumulating crypto assets, newer models are increasingly looking to generate revenue from ecosystem participation and infrastructure businesses tied to those holdings.
Arredondo argues that the industry has spent years building separate blockchain networks, stablecoins and digital money projects, but has spent less time ensuring those systems can work together.
“We need to move the market from everyone doing their own very cool things to actually thinking about standard-setting across the piece.”
The issue has become more important as governments, banks and private companies increasingly experiment with tokenized deposits, stablecoins and central bank digital currencies (CBDCs).
Arredondo pointed to the European Union (EU) as an example of a jurisdiction seeking to accommodate multiple forms of digital money simultaneously.
The EU’s approach allows stablecoins, tokenized bank deposits and central bank money to coexist under the same broad framework, she said.
Wall Street’s crypto role
The growing role of banks, asset managers and large financial institutions in crypto has divided the industry. Some early crypto supporters argue the sector is moving away from its original goals of decentralization and disintermediation.
Arredondo sees it differently. “The early crypto vision raised fundamental economic questions and brought them to the mainstream,” she said.
For Arredondo, the rise of institutional crypto does not mean the industry’s early ideas failed.
Instead, she sees it as evidence that ideas first developed inside the crypto sphere are increasingly being adopted by mainstream finance. “It shouldn’t be disappointing that we are maintaining the pillars that have long anchored trust in money.”
Key Points
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President Trump postpones housing legislation signing, halting CBDC prohibition.
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Legislation includes provision blocking Federal Reserve digital dollar until 2030.
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Signing contingent on Congressional passage of SAVE America Act.
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Stablecoin exemptions preserved within housing legislation framework.
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Senate faces mounting pressure on cryptocurrency regulatory framework discussions.
President Donald Trump has postponed the implementation of a federal prohibition on central bank digital currencies by canceling Wednesday’s scheduled signing ceremony for comprehensive bipartisan housing legislation. The measure includes provisions preventing the Federal Reserve from launching a digital dollar until 2030, though Trump has made his approval conditional on separate voting reform legislation.
President Conditions Housing Bill on Electoral Reforms
Through a Truth Social announcement, Trump canceled the ceremony mere hours before its scheduled start. He indicated that Congressional approval of the SAVE America Act must occur before he proceeds with the housing package. This decision immediately created uncertainty surrounding the housing bill’s CBDC prohibition language.
The SAVE America Act mandates citizenship verification for individuals registering to vote in federal elections. Proponents characterize this requirement as necessary election integrity protection, while critics contend it may disenfranchise legitimate voters. Trump has urged Senate Republicans to expedite the measure despite minimal Democratic backing.
Congressional approval for the housing bill was substantial, with the House voting 358 to 32 following Senate passage at 85 to five. This bipartisan support demonstrated rare legislative consensus across party lines. Nevertheless, Trump chose to delay the signing despite broad congressional backing.
Digital Currency Ban Embedded in Housing Legislation
The 21st Century ROAD to Housing Act focuses predominantly on housing availability, cost reduction, mortgage regulations, and development obstacles. Yet legislators inserted provisions prohibiting the Federal Reserve from developing or distributing a retail CBDC. This restriction extends through December 31, 2030.
The language encompasses digital instruments that function similarly to central bank digital currencies. Conversely, it carves out private dollar-denominated assets operating on transparent, permissionless, and decentralized networks. This exemption safeguards eligible stablecoins from the federal prohibition.
Trump has previously instructed federal departments to refrain from creating, distributing, or advocating for a United States CBDC absent explicit legislative authority. While the Federal Reserve has conducted digital currency research, no digital dollar has been introduced. The congressional language would codify existing administrative policy into statutory law.
Postponement Creates Uncertainty for Crypto Regulatory Framework
Trump retains the option to sign the housing legislation once Congress addresses his voting reform priorities. Constitutional mechanisms also permit the bill to become law without presidential signature. However, formal transmission procedures and legislative scheduling will dictate available timeframes.
This postponement may generate additional concerns regarding the Digital Asset Market Clarity Act. That legislation would establish regulatory jurisdiction for digital assets and allocate supervision among federal agencies. Trump has expressed support for establishing permanent market structure frameworks for the cryptocurrency industry.
The CLARITY Act awaits Senate deliberation, potential modifications, and ultimate floor consideration. Concurrently, legislators are negotiating ethics requirements concerning political figures’ involvement in digital asset enterprises. The housing bill dispute now introduces another political prerequisite to an already congested Senate agenda.
Trump has not explicitly threatened vetoes against market structure legislation or other cryptocurrency bills. However, his linkage of unrelated measures may decelerate congressional progress across multiple policy domains. The CBDC prohibition consequently remains entangled with broader controversies involving housing policy, electoral procedures, and digital asset oversight.
Several Democrats and one Republican who were supported by more than $8 million worth of ads funded by cryptocurrency-aligned political action committees (PACs) won their respective US primaries on Tuesday, setting up their candidacies for the November election.
Party primaries for US House of Representatives and Senate candidates in Utah, Maryland and New York resulted in wins for many aligned with crypto industry interests. PACs like Fairshake and its affiliates, largely backed by crypto companies Coinbase and Ripple Labs, spent a combined $8 million on media to support the candidates it considered likely in favor of digital asset policies for the next session of Congress.
In New York, Democrat Ritchie Torres won a primary for the state’s 15th congressional district with 71.9% of the vote, while in Utah, Republican Blake Moore won in the 2nd district with 57.5% of the vote. Fairshake affiliate Protect Progress reported $5.5 million in expenditures to support Adrian Boafo, who won the Democratic primary for Maryland’s 5th district with 32% against other candidates who opposed “spending from crypto billionaires.”
“We went big and we went early,” said Fairshake spokesperson Geoff Vetter. “We did our part to move Adrian Boafo from fifth place to the halls of Congress.”
Source: The New York Times
Fairshake, which reported having “$150 million cash on hand” in June after its spending in several US state primaries, may have already influenced voters in key elections in its attempts to send candidates to Congress it considers to be “pro-crypto.” Other PACs aligned with crypto interests that have reported spending on 2026 candidates included Fellowship, backed by Cantor Fitzgerald and Anchorage Digital, and the Blockchain Leadership Fund, a hybrid PAC backed by Anchorage and Chainlink Labs.
Related: Trump cancels signing of housing bill with CBDC ban
Not every pro-crypto candidate emerged a winner on Tuesday. Alex Bores, a Democrat running in New York’s 12th District, lost to Micah Lasher. He criticized Bores in a June debate, saying that he potentially benefitted from Ripple Labs co-founder Chris Larsen spending $3.5 million to support his campaign.
Next primaries in Colorado and Arizona, but no reports of spending yet
Many expect Fairshake and other crypto-aligned PACs to turn their attention to candidates in Colorado and Arizona next. The two states are scheduled to hold primaries on June 30 and July 21, respectively, but Fairshake affiliates had not disclosed significant spending in any of the races as of Wednesday.
In 2024, the PAC and its affiliates poured more than $10 million into media to support Ruben Gallego’s Senate race in Arizona and $2.1 million for Democratic Representative Yadira Caraveo in Colorado’s 8th district. Gallego won his race, while Caraveo lost in the November 2024 election to Republican Gabe Evans.
Magazine: AI is banking the unbanked in Africa… faster than crypto
Crypto World
Bitcoin Price Prediction: CryptoQuant Believes Strategy Ought to Pause Its Bitcoin Purchases
Bitcoin price is trading around $62,000, with relatively no movement, but it’s doing little to mask a deeper structural prediction that is playing out publicly. CryptoQuant has issued a pointed recommendation. According to CryptoQuant analyst, Strategy, the Michael Saylor-led corporate Bitcoin buyer should stop accumulating BTC and focus on rebuilding cash reserves before its preferred stock situation turns into a full credibility crisis.
CryptoQuant’s head of research, Julio Moreno, outlined the pressure points in a Tuesday report. Strategy’s preferred stock STRC hit a record 17.5% discount to par value last week, closing at $82.50 against its $100 par. Cash reserves have dropped 38% since January 2026, partly because Strategy retired $1.5 billion in convertible notes, shrinking its dividend buffer at exactly the wrong moment.
Not just the above, Strategy’s dividend obligations have ballooned from $300 million annualized at the start of the year to $1.2 billion today, a nearly fourfold increase in under six months. STRC’s dividend coverage has collapsed from over seven years to just 14 months.
Now, for Strategy, selling Bitcoin to close the gap isn’t going to be straightforward either. It currently carries an aggregate unrealized BTC loss of roughly $10.6 billion, with every coin purchased in 2024, 2025, and 2026 underwater at current prices.
Strategy’s bind matters to the market because it removes one of the most consistent marginal buyers from the demand side, at a moment when on-chain data already points to significant weakness across the board. Can Bitcoin survive this?
Discover: The Best Crypto to Diversify Your Portfolio
Bitcoin Price Prediction: Recover to $81,000, or a Drop to $55,000?
Bitcoin’s current setup reads bearish on most metrics that matter. CryptoQuant’s cycle framework also classifies this as a bear phase, with 30-day apparent demand down approximately ‑63,000 BTC, a level consistent with distribution. The Coinbase premium remains negative, signaling U.S. spot buyers are not stepping in to absorb sell-side pressure. Bitcoin is already down 50% from its October all-time high near $126,080.
On the downside, CryptoQuant’s base case targets $55,000 as the structural bear-market bottom, or 20% below current levels. Standard Chartered has flagged a similar downside risk toward $50,000 before any sustained push toward $100,000. The $55,000–$56,000 zone represents the confluence of prior accumulation levels, and where realized-loss exhaustion has historically resolved prior cycles.
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The bull case is conditional, not dismissed. CryptoQuant’s own scenario analysis allows for a relief rally into the $71,500–$81,200 band if geopolitical and macro tensions ease materially. The “Trader Realized Price” near $81,200 capped the last bear-market rally in January 2026 and would likely act as resistance again. Current long positioning data suggests the market is not pricing a clean breakout, and it’s pricing uncertainty.
The most likely scenario is a consolidation between $60,000 and $66,000 near-term, with the $55,000 target in play if demand metrics deteriorate further. Invalidation of the bearish thesis requires a sustained close above $81,200 on volume.
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Bitcoin Hyper Eyes Early-Stage Upside as BTC Buyers Wait on the Sidelines
With Bitcoin price prediction tumbling and its large institutional buyers potentially sidelined and spot demand contracting, the near-term upside on BTC itself looks capped, at least until macro conditions shift. That dynamic is pushing some traders to look earlier in the risk curve, specifically at infrastructure plays building on top of Bitcoin rather than trading it outright.
Bitcoin Hyper ($HYPER) is positioning directly in that gap. It’s a Bitcoin Layer 2 protocol integrating the Solana Virtual Machine, making it, by design, the first BTC L2 capable of delivering SVM-powered smart contracts while settling on Bitcoin’s security layer.
The pitch addresses Bitcoin’s core bottlenecks: slow finality, high fees, and the absence of programmable execution. The presale has raised $33 million at a current token price of $0.0136821, with staking available during the presale phase.
Early participants also access a Decentralized Canonical Bridge for BTC transfers, the infrastructure layer that makes the SVM integration usable in practice, not just on paper.
The post Bitcoin Price Prediction: CryptoQuant Believes Strategy Ought to Pause Its Bitcoin Purchases appeared first on Cryptonews.
Crypto World
White House Denies Trump Crypto Link to UAE AI Deal After Senate Democrats Demand Hearings
The White House has denied that the Trump administration’s AI agreement with the United Arab Emirates had any connection to World Liberty Financial.
This comes after Senate Democrats called for hearings into the Trump family-backed crypto firm’s reported ties to Abu Dhabi.
In comments provided to BeInCrypto, White House spokeswoman Anna Kelly said the UAE AI agreement was designed to deepen a strategic technology partnership between Washington and Abu Dhabi.
“The Trump administration’s historic agreement to enhance the partnership between the United States and the United Arab Emirates on artificial intelligence was designed to ensure the global AI ecosystem will be built with American chips and use American models, all while guaranteeing significant UAE investments into the United States,” Kelly said.
Democrats Press for Hearings
Five Senate Democrats asked Republican committee chairs this week to hold hearings into World Liberty Financial and foreign crypto deals linked to Trump, his family, and Special Envoy Steve Witkoff.
The request followed reports that a UAE-linked investment vehicle agreed to buy a 49% stake in World Liberty Financial for roughly $500 million shortly before Trump returned to office.
The lawmakers said the timing raised questions about whether foreign-linked money flowing into a Trump family crypto venture overlapped with later US policy decisions involving the UAE.
The White House rejected that connection directly.
“This has everything to do with what is best for the United States and nothing to do with World Liberty Financial – President Trump’s assets are in a trust managed by his children, and Special Envoy Witkoff has completely divested from the company,” said White House spokeswoman Anna Kelly.
White House Says AI Deal Serves US Interests
The White House framed the UAE agreement as a national security and industrial policy move, rather than a private business matter.
Kelly said the agreement “contains historic commitments by the UAE to further align their national security regulations with the United States, including strong protections to prevent the diversion of US-origin technology.”
That point goes to the center of the dispute.
Democrats argue that the UAE’s role in World Liberty Financial deserves scrutiny because the administration later approved sensitive technology and policy benefits involving Abu Dhabi.
The White House says the AI agreement advanced US strategic interests and included safeguards for American technology.
Ethics Questions Remain at the Center
White House Counsel David Warrington also rejected the suggestion that Trump’s private business interests affected official policy.
“The President has no involvement in business deals that would implicate his constitutional responsibilities. President Trump performs his constitutional duties in an ethically sound manner and to suggest so otherwise is either ill-informed or malicious,” Warrington said.
World Liberty Financial has become a political flashpoint because it sits at the intersection of crypto, foreign capital, and Trump family business interests.
The reported UAE-linked investment has drawn attention because Abu Dhabi has also played a growing role in AI, semiconductors, and digital assets. UAE-backed MGX was separately linked to a $2 billion Binance deal that used World Liberty Financial’s USD1 stablecoin.
Democrats have used those connections to argue that Congress should examine whether foreign actors gained influence through crypto-linked transactions.
The White House says that the argument is politically motivated.
“These Democrats are hellbent on pushing the same, tired narrative that they have used to attack President Trump, his family, and his administration for a decade, even after Americans rejected their lies by re-electing the President to office,” Kelly said.
Witkoff Denies Role in G42 Talks
The senators have also focused on Steve Witkoff, Trump’s Special Envoy for Peace Missions, because of his family’s connection to World Liberty Financial.
Warrington said Witkoff complied with ethics rules and had stepped away from the company.
“Mr. Witkoff, like all Administration officials, takes seriously his compliance with the government ethics rules. As Special Envoy for Peace Missions, he has not and does not participate in any official matters that could impact his financial interests. He has also divested from World Liberty Financial, notwithstanding his ability and willingness to recuse,” Warrington said.
A source close to Witkoff, speaking on background, said his children run World Liberty Financial and that he had no role in the company.
“Steve’s children run World Liberty Financial. Steve has nothing to do with it. The business was started one year before the presidential election. As we have said numerous times, Steve was not involved in negotiations related to G42. He was only briefed on these discussions, which is totally appropriate given his role at the time as Special Envoy to the Middle East. Like President Trump, all of Special Envoy Witkoff’s actions have been for the benefit of the American people,” the source said.
The comments leave the core dispute unresolved.
Democrats want sworn testimony and committee hearings into whether World Liberty Financial’s foreign-linked deals created conflicts inside the administration.
The White House says the UAE AI agreement had no connection to the firm and that both Trump and Witkoff were separated from relevant business interests.
For now, the fight has moved from crypto markets into congressional oversight.
The post White House Denies Trump Crypto Link to UAE AI Deal After Senate Democrats Demand Hearings appeared first on BeInCrypto.
Binance has withdrawn its application for a Markets in Crypto-Assets (MiCA) license in Greece and will seek authorization in another European Union country, the crypto exchange said Wednesday via several X posts.
While Binance did not immediately respond to CoinDesk’s request for comment, Gillian Lynch, head of Europe and the United Kingdom, told Reuters that “Binance is not leaving Europe.” Her comment follows her firm’s bid to secure a licence in Greece to offer crypto services in the EU went sour.
Last week, Binance said its European regulatory MiCA application was compliant despite reports of Greek rejection. “Our understanding is that the HCMC (Hellenic Capital Market Commission) completed its review of the application and considered it compliant with MiCA requirements, and that the application was also reviewed at ESMA level,” a Binance spokesman told CoinDesk via email on June 16.
The decision comes days before a June 30 deadline. Under MiCA rules, crypto firms must obtain a license from at least one EU member state by July 1 to serve clients across the 27-nation trading bloc. Unlicensed firms must wind down their EU activities.
A Wendy’s restaurant is seen on November 10, 2025 in Austin, Texas.
Brandon Bell | Getty Images News | Getty Images
Wendy’s shares surged on Wednesday, fueled by a burst of retail investor enthusiasm that appears disconnected from the fast-food chain’s latest executive appointment.
The stock climbed more than 42% on heavy volume at one point after Wendy’s disclosed the appointment of former Potbelly executive Steven Cirulis as chief financial officer and chief strategy officer. While management changes can influence investor sentiment, the magnitude of the move suggests other forces may be at play.
Trading was briefly halted by the New York Stock Exchange for volatility shortly after the open. When it resumed, it shot to a high of $8.89 a share. The stock was last up 30%.
Retail traders have increasingly turned their attention to the burger chain after the shares lost roughly half their value over the past 12 months. Wendy’s ranked as the second-most mentioned stock across Reddit trading forums over the past 24 hours, according to data tracked by Swaggy Stocks.
Posts circulating on social media have framed Wendy’s as a turnaround and recovery play. On WallStreetBets, one post titled “We need to save Wendy’s” garnered significant engagement. “We need to save Wendy’s before it’s too late,” the user wrote. Other posts framed the fast-food chain as a beaten-down consumer brand that retail investors could rally behind.
The surge in online attention echoes previous meme stock episodes like GameStop where retail traders piled into struggling companies with elevated bearish bets against them.
That dynamic could be particularly relevant for Wendy’s. Roughly 23% of the company’s free float is currently sold short, according to S3 Partners, leaving the stock vulnerable to a squeeze if rising prices force bearish investors to cover positions.
Wendy’s didn’t immediately respond to CNBC’s request for comment.
— CNBC’s Nick Wells contributed reporting.
ChatGPT AI just put a fresh shocking predicts on Bitcoin price prediction that paints a very different picture from where price sits right now. The model sees a climb toward $140,000 to $180,000 by the end of 2026, nearly triple current levels.
The bull case leans on timing as much as fundamentals. Bitcoin is trading near $62,640 today, and if the market follows a typical post halving rhythm, the next major leg higher could kick off around November as liquidity improves and risk appetite returns.
A handful of catalysts are stacked up behind that thesis. The CLARITY Act could finally deliver long awaited regulatory certainty for digital assets. Continued support from the Trump administration adds another layer, given its stated goal of making the United States a global leader in crypto.
The Strategic Bitcoin Reserve initiative is another piece worth watching, alongside accelerating institutional adoption through ETFs and deeper stablecoin integration across traditional finance.
If those forces line up the way the model expects, bitcoin could reclaim $100,000 first before pushing into that $140,000 to $180,000 zone.
The bear case keeps the door open for a much slower outcome. Macroeconomic weakness, delayed regulation, or weaker ETF inflows could keep demand muted for longer than bulls want.
Under that scenario, bitcoin stays trapped somewhere between $50,000 and $80,000 for an extended stretch instead of breaking out. Even so, the model still leans toward higher prices overall, with November standing out as the most likely window for a broader resurgence.
Bitcoin Price Prediction: BTC Grinds Toward Its November Reckoning
The daily chart shows bitcoin at $62,769 after sliding from a high near $124,000 set last fall. That entire move down has been one long, grinding downtrend with a brief relief rally into May that topped out near $82,000 before rolling over again.
Price recently bottomed near $60,000 in early June and has spent the last few weeks stabilizing in the low $60,000s. That kind of basing action after a sharp drop often signals sellers losing steam rather than a trend reversal just yet.
Immediate resistance sits near $68,000, then a tougher wall around $76,000 where the May rally stalled out. Support holds at $60,000, with that recent low acting as the line bulls need to defend.
RSI is reading 37.84 against a signal line of 38.27, so momentum is sitting just under its own average, essentially flat after months of weakness. That tiny gap shows neither buyers nor sellers have firm control right now.
Overall momentum looks like it is leveling off rather than trending hard in either direction. If bitcoin can clear $76,000 and turn it into support, the runway toward six figures and that bigger 2026 target starts to look a lot more believable.
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LiquidChain Is Catching the Attention of Bitcoin holders: ChatGPT AI Predicts It’s the Next 100x
Most rotations are only obvious after they’re done. This one is still happening.
Bitcoin, Ethereum, and XRP have stalled against the same resistance for weeks, waiting on macro catalysts that keep sliding to next quarter. Holding and hoping isn’t a strategy. It’s a queue.
Smart capital doesn’t wait in that queue. It moves before the trade is obvious to everyone else.
Here’s why early-stage infrastructure plays differently: a small market cap means a modest rotation can move price by multiples. The gap between what a project is worth and what the market currently prices it at is where the return lives, and that gap only exists before the crowd finds it.
DeFi loses real money to fragmentation every day. Bitcoin, Ethereum, and Solana run on separate liquidity systems with no native bridge between them, so every cross-chain move costs fees, slippage, and failed transactions.
LiquidChain merges all three into a single execution layer. One deployment, full access, no cross-chain tax.
The market hasn’t found it yet.
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Worth saying plainly: execution is unproven and adoption is unknown. This isn’t a safe bet, it’s an early one. Established coins offer a calmer ride to a ceiling you can already see. This is a bet on a ceiling that doesn’t exist yet.
Explore the LiquidChain Presale
The post Sam Altman ChatGPT AI Predicts Shocking Bitcoin Price By The End of 2026 appeared first on Cryptonews.
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