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Ripple-linked XRP pushes toward $1.40 as tightening range lowers breakout chances

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Ripple-linked XRP pushes toward $1.40 as tightening range lowers breakout chances

XRP keeps grinding toward the top of its recent range, and the move is starting to matter more because liquidity has thinned out while price keeps compressing underneath resistance. That combination tends to make breakouts sharper once the market finally picks a direction.

News Background

• Analysts continue pointing to longer-term bull flag and falling wedge patterns that resemble setups seen before previous XRP rallies.

• XRP ETF inflows and thinning Binance liquidity have added to speculation that the market is entering a higher-volatility phase after weeks of sideways trading.

Price Action Summary

• XRP traded in a tight 1.4% range between $1.3787 and $1.3948 over the 24-hour session.
• A late-session push lifted price from $1.3879 to $1.3930 on a 1.45M volume spike, breaking above the immediate consolidation ceiling.
• Support repeatedly held between $1.3825-$1.3870, while sellers continued defending the $1.3930-$1.3950 zone.

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Technical Analysis

• The market has spent weeks compressing between support near $1.38 and resistance just below $1.40, with volatility continuing to tighten.
• Volume expanding into the latest move higher matters because thin liquidity conditions tend to exaggerate price reactions once resistance finally gives way.
• XRP is still stuck below larger breakout levels near $1.47 and $1.50, but repeated tests of resistance usually weaken seller control over time.
• Analysts tracking bull flag and wedge formations continue targeting the $1.60-$1.73 range if the broader structure confirms.

What traders should watch

• $1.3930-$1.3950 is the immediate resistance zone. A sustained move above it shifts focus toward $1.42 and $1.47.
• $1.3825 remains the key support floor holding the current consolidation structure together.
• Liquidity conditions remain unusually thin, increasing the odds of a fast move once the range finally breaks.

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Revolut Bitcoin Price Glitch Displays BTC at $0.02, Causing Widespread User Panic

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Brian Armstrong's Bold Prediction: AI Agents Will Soon Dominate Global Financial

TLDR:

  • Revolut confirmed a third-party disruption caused Bitcoin to display at $0.02 inside the app on Friday.
  • No user asset losses were reported, as the glitch only affected price displays and push notifications sent out.
  • Bitcoin continued trading normally on major exchanges while the erroneous figures circulated across Revolut’s platform.
  • Past crypto pricing glitches have triggered liquidation cascades, wiping out nearly two million accounts in minutes.

Revolut users were caught off guard on Friday after the fintech app displayed Bitcoin prices crashing to as low as $0.02.

The erroneous figures appeared in push notifications and price displays across the platform. Revolut confirmed the issue stemmed from a third-party service disruption.

No user asset losses have been reported so far. Cryptocurrency markets remained stable throughout, with Bitcoin trading normally on all major exchanges.

App Displays False Bitcoin Crash, Users React Online

The alerts arrived without warning in the early hours of Friday morning. Many users initially feared a real market collapse had occurred overnight. Screenshots spread quickly across X, showing notifications warning of a “52-week low” for Bitcoin.

Some users reported seeing apparent sell orders executed at two cents. Others questioned whether automated trades had triggered incorrectly during the malfunction. The issue appeared to affect price alerts, displays, and trading information tied to Bitcoin.

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Revolut Support responded publicly on X, acknowledging the problem directly. “We are currently experiencing technical issues affecting some crypto functionalities,” the company stated.

The team confirmed that investigations were actively underway, and users were reassured that their assets remained unaffected.

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Reactions on social media ranged from alarm to dark humor. One user wrote, “Woke up this morning and saw this and went back to bed. Thanks Revolut for nearly sending me to an early grave.”

Another posted, “Wtf is this manifesting? I want to see $150000 instead of $0.02.” A third added, “As a big fan and user of Revolut, I’m glad I didn’t see the notice — otherwise I’d have shut my laptop on the spot.” The posts reflected genuine anxiety among retail investors relying on mobile alerts for market updates.

Crypto Price Glitches Carry a History of Market Disruption

This is not the first time a pricing error has rattled crypto traders. Technical glitches, even brief ones, can trigger outsized fear among retail investors. The Revolut incident draws attention to how heavily traders depend on fintech apps for real-time data.

Speaking on CNBC’s Power Lunch following a previous crash, Fundstrat’s Tom Lee linked a major market drop to a pricing-feed failure.

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A stablecoin briefly fell to $0.65 on one exchange due to thin liquidity. “On a specific exchange, a stablecoin’s price varied from other exchanges,” Lee explained. “It dropped to $0.65. But that only happened within this exchange because of liquidity.”

That distorted price then triggered a chain reaction across derivatives markets. “It wiped out, as that spread across other exchanges, because liquidations cascade,” Lee said.

Nearly two million crypto accounts were affected, despite being profitable just minutes before the glitch occurred.

South Korean exchanges faced a similar episode during the country’s political turmoil in late 2024. A martial-law shock triggered heavy trading activity, causing local order books to detach from global prices temporarily.

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Those sudden downward wicks served as another reminder of how fragile pricing infrastructure can be during periods of instability.

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The Hantavirus Danger: Can a Potential Outbreak Spark a New Meme Coin Frenzy?

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The crypto community, especially some dealing with meme coins, has a strange sense of humor and often tries to capitalize on events that pose real danger to humanity.

The hantavirus, which killed some people on a cruise ship recently, is just another example. Meme coins related to the infection have already begun to surface, while certain market observers believe a potential outbreak could actually be a bullish factor for the crypto sector.

A Blessing in Disguise?

The conflict in the Middle East has recently been overshadowed by other major news – the hantavirus, which has so far claimed the lives of three people. A Dutch-flagged cruise ship that departed from Argentina and traveled through the Atlantic Ocean experienced an infection cluster of the Andes strain, which first appeared when a Dutch passenger fell ill and later died on board.

Several others disembarked at St. Helena and other locations, and some developed symptoms after flying home, leading to additional deaths and hospitalizations. The ship eventually reached Cape Verde and later the Canary Islands, while multiple countries, such as the USA and the UK, isolated former passengers due to the virus’s rare ability to spread between people. What makes the situation even more concerning is that the infection (which was likely transmitted from rats) has a mortality rate of around 40%.

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And while the world hopes this doesn’t turn into a new COVID-19 disaster (or even worse), some members of the crypto community reacted rather strangely to the threat. X users idontpaytaxes and edward, for instance, assumed that a potential outbreak of the hantavirus could shut down everything, triggering “a meme coin supercycle.”

For their part, the one using the moniker Orange hopes this infection won’t spread and push the world into another lockdown. Should that happen, though, they suggested that “crypto volume would probably go absolutely crazy” because everyone will be stuck at home and looking for distractions.

In light of recent events, it is important to remind how the market reacted to the coronavirus at the beginning of 2020. In mid-March that year, the World Health Organization declared the spread of the disease a global pandemic, causing Bitcoin to crash by around 50%. However, the primary cryptocurrency quickly recovered from the knockdown and in the following years experienced a major bull run.

Another thing savvy crypto enthusiasts tend to do during such unsettling periods is launch trending meme coins to earn quick gains. Data show that tokens like HANTA (whose logos feature rodents) have already popped up, with some amassing market caps in the millions.

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HANTA Meme Coins
HANTA Meme Coins, Source: GeckoTerminal

Over the years, meme coin creators have even capitalized on the deaths of public figures, including Hulk Hogan and Queen Elizabeth, to make easy money.

COVID-19 2.0 or Not?

The hantavirus is indeed much more dangerous than the coronavirus, which crippled normal functioning worldwide in the early 2020s. It kills 4 out of 10 infected people, while the original COVID-19 strain had a fatality rate of roughly 1%.

However, the hantavirus is far less contagious than the other infection, as it requires very close, prolonged contact with a diseased person to transmit it. Additionally, people can mainly spread the virus only when they are very sick, not before symptoms.

The World Health Organization recently insisted that the risk of the hantavirus spreading into a deadly global outbreak is “absolutely low.” The topic reached the White House, too, with President Donald Trump assuring that “it’s very much, we hope, under control.”

The post The Hantavirus Danger: Can a Potential Outbreak Spark a New Meme Coin Frenzy? appeared first on CryptoPotato.

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X Pushes Deeper Into Trading With Live Cashtag Charts and Prices

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X Pushes Deeper Into Trading With Live Cashtag Charts and Prices

X rolled out a major cashtag upgrade that embeds live stock charts and real-time prices directly inside posts on the social platform

The change surfaced through a post by Nikita Bier, X’s head of product, who demonstrated the cashtag $TSLA with a live chart preview directly inside the feed.

Embedded Charts Bring Market Data Into the Feed

The upgraded cashtag pulls in current price, daily percentage change, and an interactive chart for stocks like Tesla (TSLA). Followers can gauge price action without switching applications. Data updates in real time alongside the post.

Nikita Bier, Source: X

Bier’s announcement quickly drew significant attention from traders already active on the platform for market commentary. The strong engagement highlights growing interest in X’s evolving financial features, which build on the smart cashtags framework now spanning both stocks and crypto.

The earlier rollout drove an estimated $1 billion in trading volume inside its first 48 hours. Embedded market data appears to convert attention into real transactions.

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Bier Confirms YTD Timeframe Is Coming

A trader replied to the announcement, asking for a year-to-date chart option. Bier answered with two words.

“Coming soon,” Bier said on X.

The exchange points to active iteration on charting tools rather than a one-time feature drop. Year-to-date views are standard on dedicated trading platforms. They let users compare performance against benchmarks without leaving X.

X Pushes Deeper Into Native Trading

The cashtag overhaul fits a wider strategy that turns the social feed into a trading surface. X has already tested in-feed trading and rolled out a crypto trading terminal tied to Smart Cashtags.

The push aligns with Musk’s broader “everything app” vision for X. The platform already includes XChat and the planned X Money wallet built with Visa.

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Live charts inside posts move the platform closer to dedicated apps such as Robinhood and TradingView. On those services, price discovery and conversation happen in separate windows. X is testing whether social proof can drive routing decisions for real capital.

The next signal is how fast the YTD view ships. Traders will also watch whether coverage expands beyond US equities to crypto tickers.

The post X Pushes Deeper Into Trading With Live Cashtag Charts and Prices appeared first on BeInCrypto.

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SoftBank cuts OpenAI-backed loan target to $6B as lenders balk at valuation

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SoftBank cuts OpenAI-backed loan target to $6B as lenders balk at valuation

SoftBank has cut a planned OpenAI‑backed margin loan from around $10 billion to roughly $6 billion after banks and private credit funds pushed back on the deal’s structure and the difficulty of valuing OpenAI, an unlisted AI unicorn.

Summary

  • SoftBank Group is shrinking a planned margin loan backed by its OpenAI stake from about $10 billion to roughly $6 billion after lenders pushed back.
  • Banks and private credit funds have raised concerns over how to value OpenAI, an unlisted company, and about the structure of the deal.
  • The two‑year loan, extendable by one year, was meant to fuel SoftBank’s next wave of AI investments without selling down its OpenAI equity.

SoftBank Group is scaling back an ambitious financing plan that would have raised around $10 billion using its OpenAI shares as collateral, after lenders balked at both the structure of the margin loan and the private valuation underpinning the deal.

According to Bloomberg, cited by Reuters and other outlets, SoftBank and its arranging banks have floated a reduced target “as low as $6 billion” in recent discussions with prospective lenders, implying a 40% cut from the original size. U.S. News reported that the initial pitch “had investors concerned about the difficulty of reaching a valuation for an unlisted company like ChatGPT maker OpenAI.”

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Lenders question private OpenAI valuation and structure

Bloomberg’s April scoop on the deal said SoftBank was seeking “a $10 billion loan secured by its shares in US artificial intelligence giant OpenAI,” structured as a two‑year margin loan with an option to extend by another year. Bloomberg said the facility would let the Japanese conglomerate “take on more debt for its push into AI” without selling down its OpenAI stake.

In practice, the mechanics are straightforward but risky: SoftBank borrows against its OpenAI equity, and if the value of that collateral falls, lenders can demand more margin or seize shares. The sticking point, lenders now say, is how to price that collateral. As the Economic Times summarized from Bloomberg’s reporting, “some creditors expressed concerns over how to value OpenAI, a privately held company,” which has missed some internal sales and user milestones in recent quarters. A separate breakdown on Chinese platform Futu noted that “the crux of the issue lies in lenders’ inability to determine a reasonable valuation” for OpenAI, calling the loan talks “a major setback” for SoftBank’s AI leverage strategy.

Those worries are layered on top of SoftBank’s already sizable AI financing stack. In March, Bloomberg reported that SoftBank had secured a $40 billion bridge loan to fund its OpenAI investment and general corporate needs, a deal backed by a syndicate of global banks and now being syndicated out to more lenders. Bloomberg said institutions such as HSBC, BNP Paribas and Intesa Sanpaolo were joining as sub‑underwriters, each asked to commit around $5 billion. Reuters, summarizing the same reporting, added that SoftBank “is pursuing a loan of as much as $40 billion” to support its OpenAI bet. Yahoo Finance echoed that figure, underscoring just how much leverage is already tied to the AI trade.

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What the scaled‑back loan means for SoftBank’s AI push

The margin loan was meant to be another pillar in that structure: by borrowing against OpenAI shares rather than selling them, SoftBank can raise cash to expand its AI investments — potentially into infrastructure projects like the “Stargate” data‑center initiative — while preserving upside if OpenAI’s valuation continues to rise. TechFundingNews noted that the $10 billion margin loan was “just one part of SoftBank’s larger AI financing plan,” which reportedly includes commitments of more than $60 billion to OpenAI and related ventures through Vision Fund 2, the $40 billion bridge loan and other facilities.

Cutting the margin‑loan target to around $6 billion does not end that strategy, but it signals that creditor appetite for concentrated, private‑equity‑collateral risk is not unlimited, even in a market obsessed with AI. As Bloomberg put it in an earlier piece on the $40 billion bridge, the OpenAI exposure is already “one of the biggest tests yet of creditor sentiment toward the Japanese conglomerate’s debt-fueled push further into artificial intelligence.”

The latest downsizing suggests that, for now, banks and funds are willing to back SoftBank’s AI ambitions — but only up to the point where they can still convince their own risk committees that the collateral they are lending against can be valued with something more than vibes and secondary‑market whispers.

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Spot Bitcoin ETFs Pull $1.97 Billion in Biggest Monthly Surge Since November

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Spot Bitcoin ETF Flows in 2026

US spot Bitcoin ETFs (exchange-traded funds) drew $1.97 billion in April, the best month of 2026 per SoSoValue. The total outpaced March’s $1.37 billion and reversed a soft start to the year.

The April rebound brought cumulative inflows since the products launched in early 2024 above $58 billion. Combined March and April demand offset January and February redemptions, returning the category to positive 2026 territory.

BlackRock IBIT Leads Bitcoin ETF Inflows

BlackRock’s iShares Bitcoin Trust (IBIT) accounted for the bulk of April flows, attracting roughly $2 billion in net subscriptions. The fund’s intake alone exceeded the category total, indicating other issuers collectively recorded modest outflows.

Grayscale’s Bitcoin Trust ETF (GBTC) extended a multi-quarter redemption pattern, shedding approximately $280 million in April.

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Higher management fees relative to peers continue to push holders toward cheaper alternatives. The shift has shaped flows since the first wave of conversions in 2024.

Smaller issuers including Fidelity’s Wise Origin Bitcoin Fund posted mixed daily results. SoSoValue data showed several outflow days late in April. Combined redemptions reached around $490 million during a brief volatility spike.

Spot Bitcoin ETF Flows in 2026
Spot Bitcoin ETF Flows in 2026. Source: SoSoValue

Institutional Demand Returns After Soft Start

The April rebound reflected a shift in positioning after January and February outflows tied to profit-taking and macroeconomic uncertainty.

Bitcoin climbed about 12% during the month, briefly trading above $80,000. The move marked its strongest monthly gain since April 2025.

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Sustained ETF demand reduced spot supply available on exchanges, helping absorb sell pressure from miners and short-term holders.

Corporate treasury buyers added to that pressure, with several public companies reporting fresh purchases throughout the month. The combined buying narrowed available float and contributed to the BTC price recovery above $80,000.

Daily inflow streaks have continued into early May, with multi-day runs adding more than $1 billion in single weeks. However, volatility persists, and isolated outflow days of several hundred million dollars remain part of the pattern.

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Meanwhile, Ethereum ETFs also turned positive, drawing $356 million in April. The figure marked their first monthly inflow since October 2025. Total crypto ETF demand topped $2.3 billion across both products.

Spot Ethereum ETF Flows
Spot Ethereum ETF Flows. Source: SoSoValue

Whether the momentum holds depends on macro conditions, regulatory developments, and Bitcoin’s ability to defend the $80,000 zone.

The post Spot Bitcoin ETFs Pull $1.97 Billion in Biggest Monthly Surge Since November appeared first on BeInCrypto.

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Coinbase (COIN) bulls point to crypto legislation and stablecoins after earnings miss

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No one is 100% happy with the stablecoin yield agreement: State of Crypto

Coinbase’s (COIN) weak first-quarter earnings report sparked another divide on Wall Street over whether the crypto platform is building a more durable business or remains tied to crypto’s boom-and-bust cycles.

Several analysts lowered forecasts after the company missed expectations on revenue and adjusted EBITDA as trading activity slowed across the crypto market. Still, a number of firms argued Coinbase’s expanding stablecoin and derivatives businesses — along with the possible passage of crypto legislation in Washington — could improve the company’s outlook later this year.

JPMorgan said the quarter reflected “a challenging environment” but added that Coinbase had “positioned the company well to operate in an increasingly digital world.”

The bank said pending U.S. crypto legislation “does set up for a better outlook into 2H26 and into 2027” and maintained an overweight rating on the stock.

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The legislation in focus is the CLARITY Act, a proposed market structure bill that would establish rules for how crypto assets are regulated in the U.S. The bill aims to define which digital assets fall under the Securities and Exchange Commission (SEC) and which would be overseen by the Commodity Futures Trading Commission (CFTC). Coinbase and other crypto firms have argued clearer rules could encourage banks, asset managers and large companies to expand crypto activity.

Coinbase executives told analysts they expect a Senate Banking Committee markup this month, followed by a broader vote later in the summer.

Clear Street also pointed to regulation as a major catalyst.

“We see multiple catalysts ahead and remain constructive on the shares going into 2H26,” the firm wrote, even as it lowered its price target to $107 from $140 following weaker trading volume.

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The firm highlighted growth in newer products including prediction markets, which generated more than $100 million in annualized revenue by March, and retail derivatives, which surpassed a $200 million annualized pace.

Oppenheimer said Coinbase’s push beyond spot crypto trading is beginning to show traction.

“Prediction Markets has emerged as one of the fastest growing new products,” the firm wrote, adding that the company’s “Everything Exchange strategy” could support long-term growth. The strategy includes stablecoins, derivatives, payments and tokenized assets alongside traditional crypto trading.

William Blair argued the first quarter may represent the low point of the current cycle.

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“If Bitcoin has bottomed, as we suspect it has, April could be the trough spot volume month of the cycle,” the firm wrote.

The firm also pointed to growth in USDC stablecoin activity and Coinbase’s Base blockchain network as signs the company is becoming more embedded in crypto infrastructure beyond trading fees.

Not all analysts were convinced.

Barclays maintained an Underweight rating and warned that “profitability [is] under pressure” as trading activity continues to weaken. The bank said second-quarter transaction revenue trends remain well below Wall Street expectations.

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Compass Point also kept a Sell rating, arguing Coinbase “remains entirely beholden to crypto cycles five years after going public.”

The firm said weaker monthly user activity raised questions about whether newer products are attracting new customers or simply replacing older trading businesses.

Shares of Coinbase are down 3.6% in pre-market trading.

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Brian Armstrong sold more stock in 12 months than Coinbase’s Q1 loss

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Brian Armstrong sold more stock in 12 months than Coinbase’s Q1 loss

Coinbase CEO Brian Armstrong personally sold more stock over the past year than his company lost on behalf of its COIN shareholders last quarter. Although he took a break from his sales in Q1, he entered the quarter with more personal compensation than his company would lose in three months.

The company lost $394 million for its shareholders during the first quarter of 2026. Armstrong, between May 2025 and January 2026, personally sold over $540 million worth of COIN.

Coinbase reported a $394 million net loss on $1.4 billion in revenue compared to a profit of $66 million in Q1 2025 during the brief exuberance over Donald Trump’s pro-crypto policies. 

Net transaction revenue, the engine of the business, fell 40% from Q1 2025 to less than $756 million. 

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Coinbase also marked the start of the Consensus conference in Miami by slashing its workforce by 14%, firing about 700 employees on the first day of the mega-event.

The company’s stock closed yesterday down roughly 57% from its July 18, 2025 high of $444.64. The stock was trading another 4% lower in after-hours trading on its earnings disappointment.

Read more: Coinbase sued for witholding frozen crypto linked to $55M hack

Brian Armstrong takes a break from dumping COIN

Armstrong’s sales are filed with the SEC under his name or the name of his living trust. Both report dispositions of beneficial ownership by the same person.

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Many sales occurred within a day of his stock-based compensation. 

A sum of his sales from May 5, 14, June 2, 11, 25-26, July 1, 11-14, 15-16, August 4, 12, September 4, 15, October 2, 13, November 3, 10, 17, 26, December 8, 22, and January 5 equal 1,550,000 shares of COIN sold for $541,863,703.

That gave Armstrong an average sale price of $349.58 — double the price available to retail shareholders today.

Indeed, Armstrong’s largest sales clustered in late June and mid-July 2025, when COIN traded above $350. By the time the Q1 2026 arrived and profitability collapsed, Armstrong was done selling.

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Ondo, Ripple, JPMorgan, and Mastercard Complete First 24/7 Tokenized Treasury Settlement

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Brian Armstrong's Bold Prediction: AI Agents Will Soon Dominate Global Financial

TLDR:

  • Ondo and Ripple completed a near real-time tokenized Treasury redemption across borders.
  • XRP Ledger processed the blockchain asset transfer in under five seconds during pilot.
  • Mastercard MTN connected blockchain redemption directly with banking settlement rails.
  • The pilot demonstrated 24/7 institutional settlement beyond standard banking hours.

Ondo Finance has completed the first near real-time cross-border redemption of a tokenized U.S. Treasury fund. The transaction was carried out in collaboration with Kinexys by J.P. Morgan, Mastercard, and Ripple.

Together, the four firms settled a cross-border transaction using both a public blockchain and traditional interbank rails.

The process cleared outside standard banking windows, connecting blockchain execution directly to fiat settlement. This marks a practical framework for 24/7 global settlement of tokenized financial assets.

How the Transaction Was Structured

Ripple redeemed a portion of its Ondo OUSG holdings on the XRP Ledger as part of the pilot. Ondo processed the redemption and issued a fiat instruction via the Mastercard Multi-Token Network. The MTN then routed that instruction to Kinexys by J.P. Morgan for settlement execution.

Kinexys debited Ondo’s Blockchain Deposit Account and settled U.S. dollar proceeds to Ripple’s Singapore bank account.

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The transfer moved through J.P. Morgan’s correspondent banking network, completing a full cross-border, cross-bank flow. No separate manual instructions were needed at any point in the process.

The XRP Ledger processed the asset leg in under five seconds. Markus Infanger of RippleX stated that this pilot showed institutions can execute cross-border transactions as a single integrated flow.

That speed enabled settlement well outside traditional banking cut-off windows. That distinction gave the pilot a clear operational advantage over conventional settlement systems.

One leg cleared on a public blockchain while the other settled on banking infrastructure. The two systems coordinated directly rather than requiring parallel, independent instructions. Ian De Bode of Ondo Finance said this lays the groundwork for 24/7 global markets that never close.

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What This Means for Tokenized Asset Infrastructure

Tokenized real-world assets have grown across the financial sector, but redemption infrastructure has lagged behind.

Traditional wire systems, manual processes, and limited operating hours have restricted how institutions redeem and settle these assets.

Together, these constraints have limited the scalability of tokenized asset redemption for institutional players. This pilot connects blockchain-based redemption to automated fiat settlement, removing those long-standing barriers.

The Mastercard MTN served as the interoperability layer between the blockchain and banking environments. Raj Dhamodharan of Mastercard said the MTN makes near real-time, cross-border settlement available through existing bank accounts. That connectivity allows institutions to access tokenized assets without replacing existing banking infrastructure.

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Zack Chestnut of Kinexys by J.P. Morgan said broad adoption requires collaboration across geographies, banking systems, and public blockchains.

This pilot proves that multi-party coordination at that level is achievable today. The transaction was not theoretical — it was executed between real global financial institutions.

The framework supports redemptions from any public blockchain where OUSG is issued, starting with XRPL. Ondo Finance has positioned this as a scalable model for continuous, round-the-clock tokenized asset markets.

The completed pilot shows that 24/7 cross-border settlement across global banks is now operationally within reach.

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Experts warn cyber threat was already here

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Anthropic CEO Dario Amodei speaks with Jamie Dimon: Here are key takeaways

Dario Amodei, co-founder and chief executive officer of Anthropic, at the AI Impact Summit in New Delhi, India, on Thursday, Feb. 19, 2026.

Prakash Singh | Bloomberg | Getty Images

Global banks, tech giants and governments were sent scrambling last month to contain the risks posed by Mythos, the Anthropic model said to be so powerful that it has found thousands of previously unknown vulnerabilities in the world’s software infrastructure.

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There’s just one problem: the capability they’re worried about is already here.

Cybersecurity experts and artificial intelligence researchers told CNBC that the software vulnerabilities revealed by Mythos can be found using existing models, including those from Anthropic and OpenAI.

“What we are seeing across the industry now is that people are able to reproduce the vulnerabilities found with Mythos through clever orchestration of public models to get very, very similar results,” said Ben Harris, CEO of cybersecurity firm watchTowr Labs.

Mythos has jolted executives and policymakers alike over concern that a perilous new era of AI-enabled cybercrime may be near. Anthropic limited its release to a few American companies including Apple, Amazon, JPMorgan Chase and Palo Alto Networks to reduce the risk that bad actors get their hands on it.

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Even with that precaution, the release has prompted the Trump administration to consider new government oversight over future models.

It’s the latest in a string of high-profile launches from Anthropic that have intensified its rivalry with OpenAI as the two AI giants approach their highly anticipated initial public offerings. Weeks after the arrival of Mythos, OpenAI CEO Sam Altman announced GPT-5.5-Cyber, a model specifically tailored for cybersecurity.

OpenAI on Thursday allowed limited access to GPT-5.5-Cyber to vetted cybersecurity teams.

The controlled rollout of Mythos, part of a security measure called Project Glasswing, was to give the corporate world time to gird its cyber defenses against a coming onslaught of attacks from criminal groups and adversarial nations.

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“The danger is just some enormous increase in the amount of vulnerabilities, in the amount of breaches, in the financial damage that’s done from ransomware on schools, hospitals, not to mention banks,” Anthropic CEO Dario Amodei said this week at an Anthropic event.

‘Scary enough’

But to those fighting in the trenches of cyber warfare, one of the key capabilities advertised by Anthropic — to find software vulnerabilities at scale — has been around since last year.

“The models that we have right now are powerful enough to detect zero days in a large scale, and this is scary enough,” Klaudia Kloc, CEO of cybersecurity firm Vidoc, told CNBC.

That has been the case for “a couple of months, if not a year,” she said.

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The term “zero-day” refers to a previously unknown software flaw that hasn’t been patched, giving attackers a window to exploit it before defenders can respond.

Researchers at Vidoc leaned on a technique called “orchestration” to test if they could find the same vulnerabilities that Mythos did. As the name suggests, the process involves creating workflows that split code into smaller pieces, coordinating between various tools or models to cross-check results.

“We ran older models against the same code base to see if we’d be able to detect the same vulnerabilities,” Kloc said. “We did, with both OpenAI and Anthropic’s older models.”

Another cybersecurity firm, Aisle, found that many of Mythos’s headline results could be reproduced using cheaper models working in parallel — suggesting that scale and coordination were more important than having the latest model.

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“A thousand adequate detectives searching everywhere will find more bugs than one brilliant detective who has to guess where to look,” Aisle founder Stanislav Fort wrote in a blog post.

In comments to CNBC, Anthropic didn’t dispute that earlier models were capable of finding software vulnerabilities.

In fact, a company spokesperson said, Anthropic has been warning for months that AI’s cyber capabilities were advancing rapidly. They pointed to a February blog post showing that Claude Opus 4.6, a widely available model, found more than 500 “high severity” vulnerabilities in open-source software.

At the Anthropic event this week, Amodei affirmed this point, saying that while the scale of software vulnerabilities found by Mythos surged from earlier models, the trend wasn’t new.

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“The risks are very real. This is why we took the actions we did,” Amodei said. “But they’re also, in some sense, not that surprising. … We’ve been seeing warnings of this for a while.”

Hysteria and panic

What makes Mythos different is its ability to take the next step, developing working exploits with little or no human input, effectively automating a process that previously required skilled researchers, the Anthropic spokesperson said.

But hackers working for criminal groups and adversarial nations already have this skill set, cyber researchers say. Hackers in North Korea, China and Russia “know how to do this, with or without Anthropic,” Kloc said.

The threat of AI-enabled hacking has corporations and government regulators worried about protecting crucial systems from a new wave of ransomware and other types of attacks, according to Harris.

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He described conversations with banks, insurers and regulators in recent weeks as “hysteria.”

Anthropic CEO Dario Amodei speaks with Jamie Dimon: Here are key takeaways

Even before the advent of generative AI, corporations faced the problem of skilled hackers exploiting newfound vulnerabilities in hours, while patching the code often takes days or weeks. Some patches require key systems to be taken offline, complicating matters.

“The industry is panicking about the number of vulnerabilities they face now,” Harris said. “But even before Mythos is widely available, it couldn’t fix vulnerabilities fast enough.”

Before, only a tiny population of experts globally had the ability and time to find obscure vulnerabilities in software and exploit them, according to Harris. Now, using currently available AI models, the barriers of entry to wreaking cyber havoc have been lowered.

That means that banks and other targets will see more attacks, and that software systems that previously didn’t draw as much interest from cybercriminals will now face threats, Harris said.

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Advantage: Offense

While Anthropic, OpenAI and others are working on developing cyber defense capabilities commensurate with the problems they have identified, the initial advantage goes to offense, not defense, researchers say.

JPMorgan’s Jamie Dimon suggested as much when he said last month that while AI tools could eventually help companies defend themselves from cyberattacks, they are first making them more vulnerable.

“You have a significant increase in the volume of vulnerabilities discovered, but they don’t seem to have deployed a tool that helps you fix them,” said Justin Herring, partner at the law firm Mayer Brown and former executive deputy superintendent for cybersecurity at New York’s financial regulator.

“Vulnerability management is the great Sisyphean task of cybersecurity,” Herring said.

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The limited group that was part of the initial Mythos release got a head start on patching vulnerabilities, but there is a downside. AI researchers haven’t been given access to Mythos to independently verify Anthropic’s claims or to begin building defenses against it.

Some say it prevented the wider cyber community from being part of the solution.

It has created “tiers of haves and have-nots,” which could stunt the pace of cybersecurity innovation, said Pavel Gurvich, CEO of cybersecurity startup Tenzai, which uses Anthropic’s models.

Many cybersecurity startups are working on solutions that can help businesses in this new era of AI, he said.

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“They’re trying to figure out the best way to fix the world before this becomes accessible to the world,” said Ben Seri, co-founder of cybersecurity startup Zafran Security. “It’s this kind of chicken-and-egg situation, and you’re going to break some eggs. It’s unavoidable.”

Anthropic's new AI model is an 'evolution' in what we know about security: Cato Networks' Etay Maor
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Bitcoin Price Analysis: Rejection at $83K Shows Major Weaknesses in BTC’s Structure

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Bitcoin is trading around $80k, holding slightly above the psychological threshold that has defined the ceiling of every recovery attempt over the past three months. The ascending channel is intact, the 100-day MA reclaim is holding, and BTC is now pressing into the zone between the current price and the 200-day MA. This area is a stretch of approximately $4–$5k that contains the next meaningful resistance.

Beneath all of this, one of the most unusual features of this entire rally is only now beginning to resolve: the recovery was built almost entirely on negative funding rates.

Bitcoin Price Analysis: The Daily Chart

Bitcoin has spent the last few days consolidating above the $80k mark amid rejection at the ascending channel’s upper boundary, a meaningful contrast to prior breakout attempts that reversed quickly. The 100-day MA currently at approximately $72k has been cleanly reclaimed, and the RSI is sustaining in the 60–65 range. This signals healthy momentum without the frothy excess that preceded prior failures.

The immediate path higher runs through the $88k–$90k blue resistance band, followed by the 200-day MA descending near $84k, which will likely be the harder test given how long it has been above the price. On the other hand, a drop back below the $76k order block support would be the first sign the move is failing and would refocus attention on the 100-day moving average and the lower boundary of the channel just below $70k.

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BTC/USDT 4-Hour Chart

After pushing into the $82k area where the upper channel boundary and the static resistance zone converge, the asset has pulled back to the current $80k level in what might look like a healthy short-term reset. The RSI on the 4-hour chart, though, has dropped rapidly from its recent overbought peak to 50, indicating a massive weakening of momentum on this timeframe.

However, the yellow bullish trendline from early April is still intact and provides dynamic support near $79k. Below this trendline, the same bullish order block mentioned on the daily analysis can be the demand zone that holds the price on a deeper correction.

Meanwhile, as long as the price holds above $79k-$80k on a 4-hour closing basis, the structure remains constructive, and the next push toward the $82–$84k zone is the primary scenario. However, if a break below the yellow trendline and the order block at $76k occurs, the rejection from the upper boundary of the channel will be viewed as a bearish reversal that can push the price all the way back toward the $70k region and further delay a full recovery.

On-Chain Analysis

One of the defining features of Bitcoin’s recovery from $60k to $80k is that it happened almost entirely amid persistently negative funding rates. From February through early May, the perpetual futures market was dominated by short positioning, which is shown by the red bars ranging from -0.005 to -0.02. Meanwhile, the price climbed approximately $20k in this period.

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This combination is the fingerprint of a short-squeeze driven rally, as spot buyers and forced short liquidations powered the move, not fresh long positioning. It is structurally healthier than a leverage-fueled surge precisely because it does not carry an overhang of highly leveraged longs that need to be unwound on the next pullback.

The current funding rate reading of +0.002 marks the first sustained move toward neutral and marginally positive territory since the correction began. Futures traders are seemingly beginning to shift their positions from short to long as the price action forces a reassessment. This transition from disbelief to early acceptance is a natural stage of recovery, and could be the fuel the market needs to overcome the $80k resistance zone in the coming weeks.

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