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Why Cardano’s social activity surges as ADA crashes

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Why Cardano's social activity surges as ADA crashes

Here is a pattern that should not make intuitive sense. Cardano’s ADA token has collapsed to four-year lows below $0.20, down more than 90% from its 2021 peak, in one of the worst stretches the ecosystem has ever faced.

Summary

  • Cardano’s ADA has fallen to multi-year lows below $0.20, while active addresses reached a four-month high and social dominance climbed near its 2026 peak.
  • Santiment data shows network activity and social engagement increased during the selloff, highlighting a rare divergence between price action and user attention.
  • The surge in activity could reflect either accumulation by long-term holders or heightened selling and speculation as the ecosystem faces governance and development challenges.

Its founder warned of a coming “wave of failures,” a respected developer firm shut down, the community voted against funding its own flagship conference, and Charles Hoskinson announced he was taking a break. And yet, while the price cratered, Cardano’s social activity did the opposite of what you would expect.

According to on-chain analytics firm Santiment, ADA’s active addresses hit a four-month high and its social dominance, the share of crypto conversation devoted to it, climbed near its 2026 peak precisely as the price hit bottom.

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More people are talking about Cardano and using its network at the exact moment its token is worth the least in years. This divergence between collapsing price and surging attention is one of the more interesting signals in crypto right now, because it could mean two completely opposite things.

This piece explains what the data shows, why it happens, and how to tell whether it is a bottom signal or a warning.

The divergence, precisely stated

Start with exactly what the data shows, because the specifics matter for interpreting it.

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On the price side, the collapse is severe and well-documented. Cardano (ADA) price fell below $0.20 to its lowest level in over five years, down roughly 90% or more from its 2021 all-time high near $3.09. The drop accelerated through a brutal market-wide selloff and a cascade of Cardano-specific bad news: the shutdown of the analytics firm TapTools, Hoskinson’s public warning of a “wave of failures” in the ecosystem, the community’s vote against funding the 2026 Cardano Summit, and the founder stepping back with a terse message that he was taking a break.

On the attention side, the numbers ran the other way. Santiment data showed Cardano’s active addresses climbing to a four-month high even as the price fell, meaning more distinct wallets were transacting on the network during the crash than in the preceding months. At the same time, ADA’s social dominance, a measure of how much of the total crypto conversation across social platforms is about a given asset, rose to near its peak for 2026. So on two independent measures, on-chain usage and social chatter, Cardano activity surged while its token cratered.

This is the divergence, and it is worth being precise about why it is strange. Normally, price and attention move together. Rising prices generate excitement, which drives social chatter and draws users onto the network; falling prices generate silence as people lose interest and drift away. The intuitive expectation during a 90% founder-is-taking-a-break collapse would be declining engagement, fewer active addresses, and fading social presence. Cardano did the opposite. Understanding why requires looking at what actually drives social activity, and the answer is that attention is not the same as optimism.

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Why attention spikes when price crashes

The counterintuitive truth is that dramatic price crashes often generate more social activity than steady rallies, and the reasons are rooted in how people behave around money and drama.

The first driver is simply that crises are interesting. A token quietly grinding higher generates contentment, and contentment is quiet. A token collapsing to four-year lows while its founder warns of ecosystem failures and walks away generates argument, anxiety, blame, and analysis, and all of that is loud. The Cardano story in early June had everything that drives engagement: a dramatic price move, a charismatic and polarizing founder behaving unusually, an existential debate about the project’s future, and a community split between defenders and critics. Drama drives clicks and posts in a way that calm never does. Social dominance measures volume of conversation, not sentiment, so a flood of worried, angry, and argumentative posts pushes the metric up just as effectively as celebration would.

The second driver is the active-address spike, which has its own logic. When a token crashes hard, on-chain activity often increases instead of falling, because crashes force action. Holders move tokens to exchanges to sell. Bargain hunters open positions to buy the dip. Liquidations and margin calls trigger forced transactions. Long-term holders reshuffle. Panic and opportunism both produce on-chain transactions, so a four-month high in active addresses during a crash does not necessarily mean a wave of new believers arriving. It can equally mean a wave of existing holders capitulating, traders speculating on the bottom, and capital changing hands at high speed. The metric counts activity, not conviction.

The third driver is specific to Cardano’s situation: the community itself is famously large, devoted, and vocal. Cardano has one of the most committed retail followings in crypto, and a crisis mobilizes that community rather than silencing it. Defenders rally to argue the technology is sound, and the sell-off is overdone. Critics seize the moment to say they were right all along. The governance fight over the treasury and the canceled summit gave that community concrete things to argue about. A devoted base under attack generates more conversation, not less, which is why an embattled Cardano can dominate social feeds even as its token dominates the loss leaderboards.

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So the divergence resolves once you separate attention from approval. Surging social activity during a crash is not evidence that people are bullish. It is evidence that people are engaged, and engagement during a collapse is driven as much by fear, anger, and opportunism as by faith. The question that actually matters is which of those is dominant, and that is where the interpretation splits.

The bullish reading

There is a genuine case that the activity surge is a positive signal, and it rests on a well-known piece of market psychology.

The contrarian principle holds that market bottoms tend to form at the point of maximum pessimism, when sentiment is worst, and capitulation is heaviest. In this framing, the surge in active addresses and social dominance during the crash is exactly what a bottom looks like. The four-month high in active addresses could reflect bargain hunters and long-term believers stepping in to accumulate at four-year lows, quietly buying what panicked sellers are dumping. The spike in social dominance could reflect the kind of peak attention that often coincides with capitulation, the moment when everyone is talking about how bad it is, which historically is closer to the bottom than the top.

There is supporting logic in the on-chain behavior. When active addresses rise during a price crash, one interpretation is accumulation: strong hands taking advantage of weak hands, moving coins from sellers who have given up to buyers positioning for a recovery. If that is what is happening on Cardano, then the activity surge is the footprint of smart money entering, and the crash is transferring ADA from short-term holders to long-term ones, the classic precondition for a base to form. The devoted community, in this reading, is not just talking; it is buying, and the elevated engagement is the sound of conviction being tested and held.

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The bullish case also points to the fundamentals that have not changed. Cardano’s underlying technology, its peer-reviewed development approach, and its roadmap items like the Midnight privacy project and Hydra scaling did not break during the crash. If the activity surge reflects a community that is mobilizing to support the ecosystem through its hardest moment, and if that translates into resolving the treasury fight and funding development, then the crash could mark the bottom of a confidence trough that the network climbs out of. Maximum pessimism, maximum attention, capitulation selling, and accumulating believers: assemble those, and you have a plausible bottom.

The bearish reading

The opposite interpretation is equally coherent, and it is the one the broader context arguably supports more.

In the bearish framing, the activity surge is not accumulation but distribution and panic. The four-month high in active addresses is holders rushing to exit, moving ADA to exchanges to sell before it falls further, plus traders piling into short positions and liquidations forcing transactions. On this reading, the elevated on-chain activity is the footprint of people leaving, not arriving, and the social dominance spike is fear and recrimination, not engaged optimism. A community arguing bitterly about whether the project is dying is generating enormous social volume, but the content of that conversation is anxiety, not conviction.

The context strengthens this reading. This is not a crash happening against a healthy backdrop where contrarian accumulation makes obvious sense. It is a crash accompanied by genuine structural problems: a founder publicly warning of a “wave of failures,” a real developer firm actually shutting down, a governance deadlock preventing the ecosystem from deploying its own treasury to defend itself, and the founder stepping away at the worst moment. When the attention surge coincides with deteriorating fundamentals rather than just a price dip, the “maximum pessimism equals bottom” logic gets shakier, because the pessimism might be justified. Maximum pessimism only marks a bottom if the pessimism is overdone. If the ecosystem really is contracting, then close attention during the decline is just a crowd watching a slow-motion problem unfold.

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The social-dominance metric carries a specific trap here. High social dominance during a crash can mark an extreme local sentiment that precedes a bounce, but it can also reflect a token becoming the market’s designated cautionary tale, the name everyone points to as the example of what is going wrong. A surge in conversation driven by “look how badly Cardano is doing” is bearish attention, the kind that accompanies continued decline, not recovery. Without knowing the sentiment behind the volume, the raw dominance figure is as consistent with a token being publicly written off as with one being quietly accumulated.

How to tell which one it is

Since the same data supports both readings, the practical question is what additional evidence would distinguish them, and there are specific things to watch.

The first is the composition of the on-chain activity. Active addresses rising is ambiguous, but the direction of token flows is not. If exchange inflows dominate, ADA moving onto exchanges, that points to selling and the bearish distribution reading. If accumulation by long-term holder wallets dominates, with coins moving into addresses that historically hold rather than trade, that supports the bullish accumulation reading. The headline active-address number cannot tell you which, but deeper on-chain analysis of where the tokens are going can.

The second is whether the social sentiment is fear or conviction. Social dominance measures volume, but sentiment analysis measures tone. If the surge in conversation is dominated by capitulation, panic, and “I’m out” posts, that is a bearish sign that often accompanies further downside. If it is dominated by accumulation talk, defense of the fundamentals, and long-term conviction, that is more consistent with a bottom. The volume tells you Cardano is being discussed; only the tone tells you whether the discussion is people leaving or people doubling down.

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The third, and most decisive, is whether the underlying problems get resolved. The activity surge is a sentiment signal; the fundamentals are the substance. If the Cardano community uses this moment of peak attention to break the treasury-funding deadlock, support developers, and stop the “wave of failures,” then the engagement was productive, and the crash can mark a turning point. If the deadlock holds, more firms follow TapTools out the door, and Hoskinson’s break extends, then the attention was just a crowd witnessing a decline, and the bearish reading wins. The social and on-chain metrics are the symptoms. The governance and development response is the disease, and watching the response matters more than watching the metrics.

The honest synthesis is that surging activity during a crash is a real and meaningful signal, but it is a question, not an answer. It tells you Cardano is at a moment of maximum attention and maximum action, which is exactly where bottoms can form, but only if the attention reflects accumulation and the underlying problems resolve. Right now, the data is consistent with both a community capitulating and a community mobilizing, and the broader context of genuine structural trouble tilts the odds toward caution. The activity surge means Cardano’s fate is being decided in real time, with everyone watching. It does not tell you which way the decision goes. For that, watch the token flows, the sentiment behind the chatter, and above all, whether the ecosystem fixes what is actually broken 

This article is for informational purposes and does not constitute financial or investment
advice. Cryptocurrency markets are highly volatile. The figures and analysis described
reflect data available as of June 5, 2026. Always do your own research and consult with
qualified financial professionals before making investment decisions

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Here’s what changed in the second statement under Warsh

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Here's what changed in the second statement under Warsh

A television station broadcasts Kevin Warsh, chairman of the US Federal Reserve, speaking after a Federal Open Market Committee (FOMC) meeting on the floor of the New York Stock Exchange (NYSE) in New York, US, on Wednesday, July 29, 2026.

Michael Nagle | Bloomberg | Getty Images

Economists and investors got their latest look at the Federal Reserve‘s new era of communication with Wednesday’s Federal Open Market Committee statement.

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Below is a comparison of Wednesday’s FOMC statement with the one issued after the Fed’s previous policymaking meeting in June.

Text removed from the June statement is in red with a horizontal line through the middle. Text appearing for the first time in the new statement is in red and underlined. Black text appears in both statements.

Wednesday’s release marked the second such statement under Chairman Kevin Warsh, who has promised a significant shakeup of how they Fed projects its expectations for monetary policy to the public.

The prior Fed statement in June offered one of the first glimpses into how different communication will look with Warsh at the helm.

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June’s statement contained around 130 words, down from figures above 300 recorded in recent meetings, according to a CNBC analysis of the releases. It contained no forward guidance or information about how FOMC members voted, both of which were fixtures of releases under predecessor Jerome Powell.

Warsh acknowledged a “difference” in the statement early in his first press conference as chair in June. He said forward guidance was “not well suited for the current policy conjuncture.”

“It’s a bit shorter, a bit simpler and it dispenses with some older language,” Warsh said in June. “That statement just gives you the facts, as best we can judge it.”

Investors had previously scoured the formulaic release for edits in language that could indicate a change in policy views within the central bank. But since last month’s release, traders have been wondering if the Fed would now use a new, shorter template — or if the statement will look substantially different each meeting.

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Some on Wall Street have turned to artificial intelligence-powered tools to parse communication from a Warsh-led central bank.

Warsh announced in June that he was forming task forces to review key aspects of the Fed’s operations. He said earlier this month that University of Washington professor Peter Fisher and former Bank of England Governor Mervin King are among the members of the communication-focused group.

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Robinhood Posts Record Quarter as Crypto Revenue Falls 38%

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Robinhood Posts Record Quarter as Crypto Revenue Falls 38%

Cointelegraph is committed to providing independent, high-quality journalism across the crypto, blockchain, AI, and fintech industries.

All news, reviews, and analyses are produced with full journalistic independence and integrity. For more details on our standards and processes, please read our Editorial Policy.

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Mark Your Calendar: This Could Be the Exact Date Bitcoin Finally Bottoms

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When will the Bitcoin bear market conclude, allowing the cryptocurrency to finally shift back into a sustained uptrend? The answer to this question is perhaps one of the most debated topics in the space.

And while investors are eager to see the return of the bulls, some analysts warn that they may have to endure more downside pressure throughout the summer and wait for better days by year-end.

When Exactly?

In October last year, BTC exploded to a new all-time high of over $126,000. Since then, though, the market has entered a bearish phase that briefly dragged the asset below $60K, and it now trades around $64,000.

Fear is running high, investor morale is shattered, and interest has slipped to a very low level. Yet this is far from the first bear market to sweep through crypto, and many analysts believe the bottom will be reached later in 2026.

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Ali Martinez claimed that if the 4-year cycle theory holds, BTC’s final floor could arrive between October 6 and October 16. The recurring pattern is mainly centered on Bitcoin’s halving, which occurs precisely every 210,000 blocks, or about 4 years. The concept is that the peak of the bull run arrives 12 to 18 months after the event and is followed by a sharp decline due to selling pressure and loss of momentum.

Eventually, the sell-off transitions into an accumulation phase prior to the next halving, with the upcoming one scheduled for the spring of 2028. Not long ago, CryptoPotato reported that BTC’s past behavior across different stages signals a potential bottom between October 4 and October 17 – a window which aligns almost perfectly to Martinez’s forecast.

But How Low?

Before the cycle bottoms, BTC holders may have to withstand a harsh final move south. According to X user Pepesso, BTC might fall to $49,000 before entering an accumulation phase.

“The real move higher likely won’t start until early 2027, once that bottom is fully in,” they added.

Crypto Lens issued an even more skeptical prediction, envisioning an “inevitable final capitulation” to $39,000 by October. After that, though, the analyst expects that the price could skyrocket to $150K by February next year.

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For their part, BATMAN noted a striking parallel between Bitcoin’s current market structure and that seen in the autumn of 2022, which was followed by a meltdown to around $16,000.

Of course, one must keep in mind that the collapse was driven largely by the demise of the once-prominent crypto exchange FTX. Over the past several weeks, leading platforms like BitMEX and BitMart announced they would shut down operations, yet the disclosures have had little to no impact on the price of the primary cryptocurrency.

The post Mark Your Calendar: This Could Be the Exact Date Bitcoin Finally Bottoms appeared first on CryptoPotato.

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Polymarket Odds on CLARITY Act Crash to 28% as Senate Misses August Deadline

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Polymarket Odds on CLARITY Act Crash to 28% as Senate Misses August Deadline

The Digital Asset Market Clarity Act will not receive a Senate floor vote before the August 7 recess, with Senate Majority Leader John Thune acknowledging the chamber lacks time to complete debate, amendments, and a cloture vote before lawmakers leave Washington.

The admission is not merely a scheduling inconvenience, it compresses an already tight legislative calendar and forces the market-structure bill into a September session that carries far less political momentum, while prediction markets are pricing in a sharply diminished probability of enactment this year.

Source: Polymarket

Polymarket odds on the CLARITY Act becoming law in 2026 have fallen to approximately 28%, down from a peak of 82% in February.

Each missed deadline, a White House-floated July 4 signing ceremony, a late-July practical window, and now the August recess, has eroded confidence that Congress can deliver a comprehensive crypto regulation framework before election-cycle gridlock takes hold.

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Competing Priorities Crowd Out Floor Time

The Senate’s pre-recess schedule has been consumed by a Russia sanctions package and a backlog of executive, intelligence, and judicial nominations, leaving no viable window for the multi-step procedural requirements the CLARITY Act demands.

The bill requires floor debate, a potential amendment process, and a 60-vote cloture threshold before any final passage vote, a sequence that cannot realistically be compressed into the days remaining before August 7.

Republicans currently hold enough seats to bring the bill forward but need approximately 10 Democratic senators to clear the filibuster threshold.

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That math alone made a late-July push difficult; the displaced floor calendar makes it impossible. Thune previously indicated he hoped to at least begin consideration of the legislation before recess, a formulation that itself signals how far expectations have receded from outright passage.

The CLARITY Act cleared the House on July 17, 2025, with a 294–134 vote and now sits on the Senate Legislative Calendar as Calendar No. 423 with no cloture motion filed and no floor time formally allocated. That means all remaining execution risk sits entirely on the Senate side, and it is substantial.

Ethics Language and Enforcement Authority Remain Unresolved

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Senator Cynthia Lummis introduced amended legislation designed to merge the versions approved by the Senate Banking and Agriculture committees, and the updated text includes ethics clauses targeting digital asset transactions by public officials.

Under the amendment, public officials and the president would be prohibited from issuing or sponsoring digital assets, with existing holdings subject to blind trusts, divestment, or equivalent procedures. Those restrictions would expire on January 20, 2029.

The ethics language was a direct response to concerns over cryptocurrency business ventures linked to President Trump and his family, but seven Democratic senators, Catherine Cortez Masto, Angela Alsobrooks, Cory Booker, Ruben Gallego, John Hickenlooper, Mark Warner, and Raphael Warnock, said the revised provisions do not go far enough.

Cynthia Lummis

Their demands cover stronger consumer protection, illicit finance safeguards, and market integrity measures, and none of those objections has been resolved ahead of the recess.

Enforcement authority presents a separate but equally intractable dispute. The updated bill centralizes enforcement responsibility with federal agencies – primarily the SEC and CFTC – rather than preserving parallel state-level authority.

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New York Attorney General Letitia James warned that the framework could restrict states from applying their own investor protection laws to digital asset fraud cases, a concern that resonates particularly in states with aggressive securities enforcement traditions. The core disagreement is whether federal jurisdiction would preempt or merely supplement state enforcement schemes, and neither side has moved significantly toward the other.

Stablecoin yield provisions and the treatment of decentralized finance protocols remain open as well. These technical sections carry direct commercial implications for exchanges, stablecoin issuers, and DeFi protocols, making rapid compromise unlikely.

The scale of industry lobbying behind the CLARITY Act, including significant political spending from crypto-aligned PACs, reflects how much is at stake commercially, but lobbying intensity has not translated into the bipartisan vote count supporters need.

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U.S. wants Asia to use its AI, but China dominates cheaper models

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Localized demand shields China AI from global semiconductor volatility: Morgan Stanley

Google’s display at APEC Digital Weeks in Chengdu on July 23, 2026 did not focus on Gemini.

Evelyn Cheng | CNBC

BEIJING — The artificial intelligence race between the U.S. and China is heating up in the world’s largest continent: Asia.

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“The American strategy is to stop China from becoming the leading AI supplier for the rest of Asia … and frankly the whole world,” said Gary Dvorchak, managing director at The Blueshirt Group. While China’s alternatives are cheaper, he pointed out the U.S. currently offers a more complete solution from chips to AI models.

But the U.S. sales challenge was apparent at the Asia-Pacific Economic Cooperation “Digital Weeks” in the southwestern Chinese city of Chengdu this month.

The U.S. left few public traces of its involvement in the event, despite a U.S. official and a U.S. business representative to APEC both highlighting AI in promoting the Chengdu event earlier this year. The subdued U.S. presence comes after Anthropic flip-flopped on its Fable AI model release due to abrupt U.S. policy changes, and new Chinese AI models have recently launched similar capabilities for far less.

In contrast, last summer at the first APEC AI meeting in South Korea, Michael Kratsios, President Donald Trump’s chief science and technology policy advisor, highlighted the U.S. AI Action Plan and the establishment of the American AI Exports Program, according to a White House transcript of his remarks.

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Localized demand shields China AI from global semiconductor volatility: Morgan Stanley

However, earlier this month Politico cited three former officials in reporting the Commerce Department has so far received a less-than-expected 78 applications for the American AI Exports Program.

And on July 24 at an APEC High-level Forum on AI organized by China’s cybersecurity regulator, Bill Guidera, deputy under secretary for innovation and engagement at the U.S. Department of Commerce, still focused on the AI exports program, according to materials reviewed by CNBC.

He called broadly for Asia-Pacific partnerships, noting buyers can acquire a full U.S. tech stack or just portions through the exports program. “It is the brilliant design that shows the strength, security and capability of U.S. AI,” Guidera said.

The Commerce Department’s International Trade Administration confirmed in a July 29 social media post that Guidera spoke in Chengdu. When asked about the Politico report, an ITA spokesperson said the volume of applications “exceeded our expectations.” The White House did not respond to a CNBC request for comment.

American business showcases were also limited. Google and Meta were the only U.S. companies that CNBC noted had booths at APEC as of July 23, among booths for Thailand and China, which were mostly Chengdu-based companies. The two U.S. companies respectively emphasized molecular AI system AlphaFold and AI applications for small businesses, rather than large language models.

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Google’s government affairs vice president, Wilson L. White, only made passing references to Gemini in a speech on July 24, while Tencent Vice President Cai Guangzhong took the stage after White to emphasize growing adoption of its Hunyuan LLM and a cloud project in Thailand.

Beijing’s AI diplomacy

China is hosting APEC this year, which comes at a critical moment of U.S.-China tensions and tech rivalry.

Beijing has doubled down on the opportunity to emphasize its AI capabilities, which are mostly open-source versus largely closed U.S. models.

Chinese President Xi Jinping announced at the World AI Conference in Shanghai on July 17 that China would provide developing countries with 5,000 opportunities in AI training and seminars, while developing AI application cooperation centers with Southeast Asia and other regions.

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Beijing then sent a high-ranking official, Vice Premier Zhang Guoqing, to advocate for developing tech standards with other Asia Pacific nations at the minister-level APEC Digital Weeks on July 23. Later that day, the 21 member economies, including the U.S., agreed to back open-source AI with “strong security.”

“The ‘endorsement’ of open-source models with strong security assurance gives China’s open-weight strategy greater regional legitimacy, especially across emerging Asian economies where deployment cost and technological sovereignty are major considerations,” said Wei Sun, principal analyst, artificial intelligence, Counterpoint Research.

Forced integration

But rather than a world divided into spheres of U.S. and Chinese AI, Sun expects a combination of the tech, especially in Asia.

With more than 1,300 living languages in Southeast Asia alone, just using a U.S. or Chinese AI model isn’t as straightforward as it looks.

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Governments in Asia and elsewhere are spending “billions” on AI systems tailored to local languages, according to privately funded startup Votee AI. CEO Pak-Sun Ting said he is working with at least five governments, including two in Southeast Asia, and that the startup is already making well over $10 million in revenue a year.

Ting said entities in Southeast Asia tend to use Nvidia chips, especially for AI training, but may use other chips for running models. He noted Votee’s open-source model for Cantonese speakers was developed partly using Alibaba’s open-source Qwen model.

AI’s ability to generate economic returns remains critical regardless of origin.

“While the U.S. and China are fiercely competing in AI technology and diplomacy through distinct approaches, they ultimately cannot fully decouple from one another,” said Yue Su, principal economist at the Economist Intelligence Unit.

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She pointed out the light U.S. presence at APEC wasn’t that surprising given other events, such as a San Francisco AI Summit on July 24.

South Korea’s tech ministry organized the event, where President Lee Jae-myung sought to build on Korean chip and AI megaprojects by meeting with U.S. frontier AI model leaders Sam Altman of OpenAI, Dario Amodei of Anthropic and Jensen Huang of Nvidia.

—CNBC’s Jenny Lee contributed to this report.

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The last times the Dow fell 1,000 points and what happened next

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Traders works on the floor of the New York Stock Exchange (NYSE) at the opening bell on March 5, 2026 in New York City.

Angela Weiss | Afp | Getty Images

The Dow Jones Industrial Average fell more than 1,000 points on Wednesday after the Federal Reserve decided to keep interest rates steady while U.S. oil neared $85 per barrel.

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In the last five years, the blue-chip index has closed down more than 1,000 points nine times. Typically, the index tends to fall in the week after the large decline, but then performs well in the one-month and three- month periods that follow.

The Dow is flat on a median basis a day after falling 1,000 points in one session. One week after, its performance worsens with a loss of 1.14%. One month after the fact, however, the Dow sees a median gain of nearly 2%. Three months after, that gain balloons to 9.1%.

Three of the nine 1,000 point drops happened amid the fallout after President Donald Trump’s “liberation day” in April 2025, when he announced sweeping reciprocal tariffs on countries across the globe. The Dow and the broader market rebounded after their initial two-day dramatic fall once Trump announced a 90-day pause on the tariff plan, though the blue-chip average fell again on April 10 as high tariffs on China remained. 

U.S. equities began to recover later in April after Trump and China signaled trade tensions were easing

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Four other drops happened in 2022. Inflation was surging that year, and the Federal Reserve hiked its overnight rate multiple times to contain it. Investors worried that higher rates could lead to an economic slowdown and potentially a recession, pushing the Dow and the other major averages to fall into bear market territory. 

Markets bottomed in October 2022 and the current bull market began. 

The other two big drops for the Dow were in August and December 2024. The former was driven by concerns over the U.S. labor market after a weaker-than-expected jobs report and a sharp fall in the Japanese stock market, while the latter was caused by the Federal Reserve indicating it would take a cautious approach on cutting interest rates.

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Dow, 1-day

Currently, investors are worried about the Fed’s decision to stay on the sidelines at the conclusion of its July 2026 meeting amid above-target inflation. It came while oil prices rose again after Trump promised to hit Iran in retaliation for a surprise attack on American forces. While the central bank decided to maintain rates at the current range of 3.5% to 3.75% for now, three members dissented in favor of a hike, indicating rising rates may be on the horizon.

Going by history, the fallout from this one-day decline may linger further.

CNBC’s Fred Imbert contributed reporting

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What happens if a prediction market is delisted?

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What happens if a prediction market is delisted?

Prediction market guides explain how contracts resolve and pay. Almost none explain what happens when a market never gets that far, because it was voided, suspended by a court, renamed mid-life, or pulled by the exchange. The answers live in rulebooks and incident history, and they differ enough to matter.

Summary

  • A prediction market can end without a normal resolution in at least four ways: the exchange voids it, a regulator or court forces suspension, the contract’s terms are altered mid-life, or the venue withdraws a self-certified product under pressure.
  • Voiding is the cleanest outcome and generally means positions are cancelled and trades refunded, though the treatment of fees already paid varies by venue.
  • Regulatory suspension is the messiest, because a state order can stop trading in a market that still has months to run, leaving positions frozen instead of settled.
  • Contract terms are not immutable. Exchanges can and do clarify or rename markets after trading begins, which changes what you are holding without cancelling it.
  • The one most useful habit is reading a venue’s rules on voiding, suspension, and settlement disputes before trading, because those clauses are where every one of these outcomes is defined.

Most explanations of prediction markets follow the same path: a contract opens, you buy shares priced between $0.01 and $0.99, the event occurs, the winning side receives $1, and settlement lands in your account within hours. That description covers the overwhelming majority of contracts, and the guides that stop there are not being careless. But a growing share of the interesting cases never reach that path. Markets get voided when their wording turns out not to describe reality.

They get suspended when a state court orders an exchange to stop offering a category. They get renamed when the exchange decides the original title was ambiguous. And they get withdrawn when a regulator opens a review, and the venue pulls the product instead of fighting. In each case, a trader is holding something, and what happens to it depends on clauses almost nobody reads. This guide covers those clauses, what the incident record shows, and what to check before you put money into a contract that might not finish.

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Four ways a market ends early

The outcomes differ enough that lumping them together is the first mistake.

Voiding: The exchange determines the contract cannot be resolved fairly under its stated criteria and cancels it. Typical triggers: the underlying event becomes impossible to adjudicate, the resolution source stops publishing, the criteria turn out to be ambiguous in a way trading has exposed, or the market was listed in error. This is the most orderly failure mode.

Regulatory suspension: An external authority forces the exchange to stop offering a market or a category of markets to some or all users. Recent examples have involved state gaming regulators ordering venues to halt sports contracts in their jurisdiction, and enacted state bans with effective dates. The exchange remains solvent, and the market may remain open elsewhere, but affected users lose access.

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Modification: The contract survives but its terms change. An exchange clarifies wording, renames a market, or publishes an interpretive note about how it will read the criteria. Nothing is cancelled, and nobody is refunded, but the thing you bought is not quite the thing you now hold.

Withdrawal: The venue itself pulls a product, often after a regulator opens a review. Historically, exchanges facing scrutiny over specific event contracts have withdrawn their certification instead of awaiting an order, which ends the market without any formal decision being issued.

Voiding and refunds

The orderly case is worth understanding first, because it is the outcome traders should generally want when a market has gone wrong.

The principle is straightforward: if the contract cannot be settled fairly, the exchange unwinds it and returns participants to their starting position. Positions are cancelled, and the collateral committed to them is released. The argument for this treatment is that a market whose terms do not describe reality never functioned as a market, so allowing it to pay out would reward whoever read the ambiguity best instead of whoever forecast the event correctly.

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Where venues differ, and where the rulebook matters, is in three details. Whether trading fees already paid are refunded alongside the collateral, which is not universal. Whether the refund reflects your entry price or a mid-market value at cancellation, which matters if you traded in and out. And how the exchange handles a market that has partially resolved, where some component of a multi-outcome event has settled, and others have not.

The disputed cases usually involve wording, not events. Commentary on one episode, in which an exchange renamed a market whose title had become confusing, argued that best practice is simply to void and refund whenever the terms need altering, because if the trading desk understands the confusion well enough to rewrite the title, participants have already been trading something ambiguous. That is a reasonable standard, and it is not the universal practice, which is exactly why the clause is worth reading.

Regulatory suspension

This is the outcome with the least satisfying answers, and the one most likely to affect a large number of traders at once.

The prediction market industry is in active legal conflict across multiple US states over whether sports event contracts constitute gambling requiring state licensing. That conflict has produced cease-and-desist orders, litigation in several federal circuits, at least one enacted state ban with an effective date, and venues complying with court orders while appealing them. 12 or more states have taken some action. Availability changes month to month.

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For a trader in an affected state, the practical questions are what happens to positions already open, whether new trades are blocked while existing positions can be closed, and whether funds can be withdrawn. Venues have generally handled this by restricting new trading for affected users while allowing existing positions to be closed or to run to settlement, which is the least disruptive approach available. But that is a policy choice, not a guarantee, and the mechanism differs from voiding in an important way: the market itself is not defective; it is simply unavailable to you.

Two consequences follow. Your position may continue to exist and settle normally while you cannot manage it, which is a materially different exposure than the one you took on. And where the venue is compelled to halt a market entirely, the treatment falls back on the voiding provisions above.

The instruction that follows is unglamorous: verify current availability in your own jurisdiction at the moment you intend to trade, from the venue’s own disclosures, and treat any published state list as potentially out of date, including one in a guide like this.

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Modification, and why it is the sneakiest case

The outcome that produces the least noise and the most quiet damage is the one where nothing is cancelled.

Exchanges publish clarifications: They rename markets whose titles have become misleading. They issue interpretive notes explaining how ambiguous criteria will be read. On blockchain-based venues, the operator can publish clarifications that shape how the decentralized resolution process reads the rules, even where the operator cannot decide the outcome itself.

None of this refunds anyone: A trader who bought a contract on one reading of its title and finds the title changed is holding a different instrument at the same cost basis, with no cancellation and no recourse beyond the dispute mechanisms the venue provides. The argument for allowing modification is practical: voiding every market that needs a clarification would be enormously disruptive and would itself become a manipulation vector. The argument against is that it makes the contract’s terms mutable after the trade, which is not a property most participants assume they are accepting.

The defence is to read the rules and important-information sections at entry, not the headline, and to treat any market whose title carries obvious ambiguity as carrying modification risk on top of everything else.

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Regulated exchanges versus on-chain venues

The two architectures handle all of this differently, and the difference is structural, not a matter of policy quality.

On a federally licensed exchange, the rulebook governs, and the exchange is accountable for enforcing it. There is a named entity, a regulator supervising it, a complaints path, and, for a designated contract market, obligations under the core principles to list contracts that are not readily susceptible to manipulation. Voiding, suspension, and modification decisions are made by an identifiable party that can be asked to justify them. Our guide to the designated contract market licence covers that structure.

On a blockchain venue, resolution runs through a decentralized process with proposal, challenge, and token-holder voting stages, which this publication examines in its guide to how prediction markets resolve. Once a resolution finalizes on-chain, it is locked, and there is no operator with the authority to reverse it. That is a genuine guarantee against arbitrary reversal, and it is also a guarantee against correction: a resolution that a reasonable observer considers wrong is nonetheless final.

Neither model is uniformly better. The regulated venue can fix mistakes and can therefore also make discretionary decisions you may dislike. The on-chain venue cannot make discretionary decisions and can therefore also not fix mistakes. Knowing which you are on determines what kind of failure you are exposed to, and our guide to Polymarket’s 2 venues explains why a one brand can be both.

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Two incidents worth knowing

Abstract categories are less useful than cases, and two episodes illustrate the range between the orderly and the messy versions of a market ending early.

The first involved wording. An exchange listed a market on whether a named executive would leave her role within a stated period, and the contract’s terms turned out to be ambiguous enough that the exchange altered the market’s title mid-life. Commentary at the time argued the correct response was to void and refund instead of renaming, on the reasoning that an operator who understands the confusion well enough to rewrite the title has already conceded that participants were trading something unclear. The counterargument is that voiding every ambiguous market would itself be disruptive and gameable. Neither position is obviously wrong, which is precisely why this belongs in a rulebook, not in a judgment call, and why reading that rulebook before trading is the only protection available.

The second involved subject matter, not wording. Venues have adopted explicit policies against markets that settle directly on a person’s death, a line drawn after contracts touching geopolitical events and named individuals generated substantial controversy. That is a listing standard, not an early-ending mechanism, but it points at the same underlying reality: what a venue will and will not carry is a policy that can change, and contracts near the edges of those policies carry a risk of removal that has nothing to do with their subject matter being resolved.

The generalisable lesson from both is that the risk concentrates where the wording is loose, or the subject is sensitive. Objective criteria resolved by a single authoritative source almost never produce these outcomes. Markets whose terms invite argument, or whose subject matter invites institutional discomfort, produce them regularly.

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What to check before trading

Five items, ordered by how often skipping them causes losses.

The voiding clause: Find it in the venue’s rules. It defines what happens in the orderly failure case, including whether fees are refunded and how partial resolutions are treated. If you cannot find it, that is itself information.

The resolution source and criteria: Read the rules and important-information sections, not the market title. Ambiguity between them is the raw material of every voiding and modification event.

Current availability in your jurisdiction: Legal status by state is contested, moving, and specific to product categories. Check at the moment you trade.

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The settlement timeline in the rules: Some markets specify a determination date later than the point at which the event appears to conclude, which means a position you consider settled is still open.

Whether the venue can modify terms: If the rulebook permits clarification or renaming after trading begins, you are accepting mutable terms. That may be fine. It should be a decision, not a discovery.

The theme across all five is that the answers exist, in documents the venues publish and almost nobody reads, and that the small number of traders who read them before entering are the ones not surprised when a market ends in an unusual way.

The self-certification connection

One structural fact explains why early-ending markets happen more often in this category than in most regulated products, and it is worth knowing because it also predicts where the risk concentrates.

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American event contracts reach the market through self-certification: a licensed exchange files a submission stating that a product complies with the law and begins listing it, without waiting for approval. Our guide to that mechanism covers it in full.

The consequence for this discussion is that no regulator vetted the contract’s wording before trading began. The exchange’s own compliance judgment is the only filter, and every ambiguity that later forces a void or a clarification passed through that filter first.

The same procedure creates the withdrawal risk. Where a submission touches activities the statute enumerates, including gaming and conduct unlawful under state law, the regulator may open a review and request that the exchange suspend listing or trading while it proceeds. Historically, exchanges facing such reviews have sometimes withdrawn certifications rather than await a decision, which ends a market with no order ever issuing and no formal ruling to appeal.

Read together, the two halves explain the distribution of risk. Markets whose subject matter sits near the enumerated activities carry regulatory-ending risk on top of their ordinary market risk, and that category is not obscure: it is sports, politics, and anything touching conduct that states regulate as gambling, which is where most retail volume concentrates. A trader who wants to minimise exposure to early endings should prefer contracts whose resolution criteria are objective, whose subject matter is remote from gaming, and whose venue has a track record of certification decisions that have not been reviewed.

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A final observation on why this question deserves more attention than it receives. Prediction market coverage has concentrated overwhelmingly on two subjects: whether these venues are legal, and whether their prices are accurate. Both are legitimate, and both are extensively covered. What has been almost entirely absent is the operational question of what a position actually is, contractually, once you hold it.

That gap has a structural cause. The parties best positioned to explain voiding, suspension, and modification are the venues themselves, and none of them has a commercial reason to lead with the circumstances in which your position does not resolve normally. The affiliate-driven guides that dominate search on these terms have less reason still, since their revenue depends on account signups, not on informed participants. So the material stays in rulebooks, where it is accurate, complete, and read by almost nobody.

The consequence is a category where a substantial number of participants hold instruments whose failure modes they have never considered, in a regulatory environment producing suspensions and withdrawals at a steady rate. Reading the rules before trading is not a sophisticated practice. It is the minimum, and in this category it puts you ahead of most of the order book.

Frequently Asked Questions

What happens if a prediction market is voided?

Generally, the exchange cancels the contract and returns participants to their starting position, releasing the collateral committed to open positions. The rationale is that a market whose terms do not describe reality never functioned properly, so paying out would reward whoever read the ambiguity best. Whether fees already paid are also refunded, and how partial resolutions are handled, varies by venue and is defined in the rulebook.

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Why would an exchange void a market?

Because the contract cannot be settled fairly under its stated criteria. Common triggers include an underlying event becoming impossible to adjudicate, a resolution source ceasing publication, criteria turning out to be ambiguous in ways trading has exposed, or a market being listed in error. Voiding is the most orderly of the early-ending outcomes.

What happens to my position if my state bans prediction markets?

It depends on the venue’s policy and the scope of the order. Exchanges have typically restricted new trading for affected users while allowing existing positions to be closed or to run to settlement. The market itself is not defective, so the voiding provisions do not automatically apply; you may hold a position that settles normally while you cannot manage it.

Can an exchange change a market’s terms after I have bought?

Yes, on regulated venues. Exchanges publish clarifications, rename markets, and issue interpretive notes about ambiguous criteria. Nothing is cancelled, and nobody is refunded, which means you can end up holding a different instrument than the 1 you bought. Reading the rules and important-information sections at entry, and not the market title, is the defence.

Is a resolution ever reversed?

On regulated exchanges, decisions can be reviewed through the venue’s dispute procedures. On blockchain venues using decentralized oracles, once a resolution finalizes on-chain, it is locked, whether it arrived through an uncontested challenge window or a token-holder vote. That finality protects against arbitrary reversal and also prevents correction of outcomes many observers consider wrong.

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Which venue type handles this better?

Neither uniformly. A regulated exchange has an accountable operator that can fix errors and can therefore also exercise discretion you may dislike. An on-chain venue removes discretion entirely and therefore also removes the ability to correct mistakes. The relevant question is which failure mode you prefer to be exposed to.

Do I get my trading fees back?

Not necessarily. Collateral release on a voided market is standard; fee treatment is not, and it is defined in each venue’s rules. On contracts priced in cents, fees represent a meaningful share of the position, so this clause is worth locating specifically rather than assuming.

What is the single most useful precaution?

Reading the venue’s rules on voiding, suspension, and settlement disputes before you trade, and reading each market’s own rules and important-information sections rather than its headline. Every outcome described in this guide is defined in documents the venues publish, and the traders who are not surprised are the ones who read them 1st. This is educational information, not investment or legal advice.

Disclaimer: This article is for information and educational purposes only and does not constitute financial, investment, or legal advice. Venue policies, availability, and the legal status of event contracts vary by jurisdiction and change frequently. Always verify current rules and terms with the venue directly. Always do your own research. Information is accurate as of July 29, 2026.

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Lummis, CLARITY Act’s Fiercest Proponent, Hit by Crypto Scam Hack

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Solana (SOL) Price Performance. Source: BeInCrypto

Hackers briefly took over Senator Cynthia Lummis’ verified X (Twitter) account on Wednesday. The account pushed a fake Solana meme coin called $USA Token before the posts disappeared within roughly five minutes.

The Wyoming Republican is the Senate’s most persistent advocate for the Digital Asset Market Clarity Act, a bill that would divide crypto oversight between two federal regulators. Few lawmakers post about digital assets more often.

Inside the Lummis Crypto Scam Hack

The message claimed the token was “officially created by our team” and tagged Solana. It carried an American flag image and a link to pump.fun. That platform lets anyone mint a Solana meme coin in minutes.

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A screenshot captured by Bitcoin Archive shows the post reached about 5,600 views and 37 replies before it vanished. Several near-identical versions appeared in quick succession. Each pointed to a different token page.

Follow us on X to get the latest news as it happens

Verified political accounts make attractive targets. Followers rarely expect a token promotion from a sitting senator, so the first few minutes carry the most weight.

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Crypto users flagged the account within minutes and warned followers not to buy. However, Lummis’ office had issued no statement confirming the breach at the time of publication.

No proceeds have been tied to the tokens so far. That marks a sharp contrast with the Robinhood CEO’s X account takeover six days earlier, where the attacker cleared roughly $1.2 million.

Account Takeovers Keep Hitting Crypto’s Biggest Names

Vlad Tenev lost control of his account on July 23 after attackers socially engineered X customer support. They promoted a token called Vladhood and extracted about 650 ETH.

Earlier in July, the SpaceX and Starlink accounts were used to push a rug pull called SCATMAN, netting around $125,000. X (Twitter) began locking first-time crypto posts in April to slow the pattern. It has not stopped.

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The playbook rarely changes. Attackers seize a verified account, post a freshly minted token, then delete the evidence before the owner regains control.

SOL traded around $73 on Thursday, down almost 1% over 24 hours and roughly 60% below its level a year ago. The scam token itself carried no real liquidity.

Solana (SOL) Price Performance. Source: BeInCrypto
Solana (SOL) Price Performance. Source: BeInCrypto

Meanwhile, the timing lands awkwardly for Lummis. Her bill stalled before the recess after Senate leaders conceded there was no time for a floor vote. How the account was accessed may end up mattering more than the token ever did.

The post Lummis, CLARITY Act’s Fiercest Proponent, Hit by Crypto Scam Hack appeared first on BeInCrypto.

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MoonPay Vault lets ChatGPT and Claude users approve crypto payments

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Crypto Breaking News

MoonPay has introduced PayBox, a “payment vault” designed to let users authorize AI assistants such as ChatGPT and Claude to carry out crypto actions directly from a conversation. The tool is positioned as a safer way for AI agents to handle tasks like token swaps, cross-chain transfers, and DeFi interactions—while keeping users in control of their funds.

Alongside PayBox, the launch highlights the growing role of x402, an open payments protocol developed by Coinbase for internet-native payments by AI agents. x402 has been moving toward wider industry standardization, including governance under the Linux Foundation and integration across cloud and custody infrastructure.

Key takeaways

  • MoonPay’s PayBox aims to enable AI assistants to execute crypto transactions from chat, with user approvals supported via passkeys or spending limits.
  • MoonPay says PayBox protects wallet keys using multi-party computation and trusted execution environments to prevent unilateral access by either the AI or MoonPay.
  • PayBox supports multiple chains and payment rails, including debit cards, bank accounts, Apple Pay, and PayPal.
  • x402 is expanding beyond Coinbase, including Linux Foundation governance and reported usage growth on Coinbase’s Base network.
  • Public x402 ecosystem data (via x402scan) shows more than 12.7 million transactions over the past 30 days across participating services.

MoonPay’s PayBox: AI-initiated crypto with guardrails

PayBox is built to connect a user’s crypto wallet and payment methods to AI assistants, allowing those assistants to prepare on-chain actions after receiving natural-language prompts. According to MoonPay, the system can generate transaction flows such as token swaps, cross-chain transfers, and DeFi interactions.

A key design element is transaction authorization. MoonPay says users can approve each action using a passkey, or they can set spending limits that let the AI perform certain permitted operations automatically. Alternatively, users can require approval for every transaction, effectively keeping the assistant from executing any spend without explicit confirmation.

MoonPay also emphasized security around key custody. The company states PayBox uses multi-party computation and trusted execution environments to protect wallet keys, aiming to ensure neither the AI assistant nor MoonPay can independently access user funds. For users, that distinction matters because AI-driven payments introduce an obvious risk: the assistant might be capable of generating transactions, but should not be able to control the underlying assets without authorization.

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Beyond consumer use, MoonPay says developers can integrate the payment vault into their own AI applications via its software development kit, positioning PayBox as infrastructure rather than only an end-user feature.

Why this matters: reducing friction without surrendering control

AI payments are often discussed in terms of convenience—an assistant handling purchasing, swapping, or settlement without requiring users to manually navigate wallets. PayBox takes a more security-forward angle by focusing on approval mechanisms and constraining what an AI can do.

For investors and builders, the most important question is where the “automation boundary” should be: how far should an assistant go before a user must sign off, and how should spending permissions be scoped. MoonPay’s approach—passkey-based approvals, optional per-transaction confirmation, and predefined spending limits—suggests an attempt to make that boundary explicit.

It also signals that AI payment systems may converge on user-consent patterns that resemble modern financial authorization workflows, rather than “fully autonomous” agent behavior. The market is already seeing demand for agentic capabilities, but the trust layer—especially key security and transaction approval—often determines whether mainstream users adopt these tools.

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x402 traction and standardization under the Linux Foundation

PayBox also supports x402, an open payment protocol intended to let AI agents make internet-native payments. x402 was originally developed by Coinbase, and the protocol is now being governed as an open, vendor-neutral industry standard, following a contribution to the Linux Foundation in April 2026. The Linux Foundation announced the creation of a governance structure for x402 after welcoming the protocol contribution, and described it as an industry standard.

Coinbase has continued expanding the x402 ecosystem this year. In June, the exchange launched tools that reportedly enable AI agents to accept USDC payments, trade crypto, discover paid services through an AI marketplace, and handle high-frequency micropayments more efficiently. Earlier in the year, cloud provider Amazon Web Services integrated x402 into its Bedrock AgentCore Payments service, and Fireblocks introduced an x402-compatible payments framework for AI agents while joining the x402 Foundation.

These moves matter because x402 is not just a single integration—it’s aimed at enabling interoperability between AI services and payment execution layers. When multiple categories of infrastructure (cloud services, custody and tooling, and payment frameworks) adopt a common protocol, it can reduce fragmentation and speed up development of agent payment features across platforms.

On-chain activity signals growing usage—alongside uncertainty

Data cited by Cointelegraph’s earlier coverage suggests that agentic payments tied to Coinbase’s Base network have grown rapidly. In a June 3 report, blockchain analytics firm Chainalysis said agentic payments on Base surpassed 100 million transactions within roughly nine months. The report also noted that early usage was driven in part by speculative applications, highlighting that adoption metrics can include experimentation as well as sustained real-world demand.

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At the time of writing, the x402 public dashboard hosted at x402scan shows more than 12.7 million transactions over the past 30 days across participating services. The continuing presence of large transaction counts on a short rolling window suggests activity is not confined to one-off launches, though it still leaves open how much of that volume reflects long-term utility versus short-cycle testing.

For readers tracking the broader “agent economy,” the practical takeaway is that payment protocols and execution frameworks are moving from concept to operational tooling. However, transaction volume alone doesn’t fully answer how many agents are used by real businesses, what percentage of payments are high-value versus micropayments, or how often transaction flows are gated by user permissions—questions that will likely become clearer as more product deployments mature.

Next, watch how PayBox’s authorization controls perform in real user workflows—especially whether per-transaction approvals become the default for mainstream use—and whether x402 ecosystem growth continues to translate into consistent, non-speculative payments across more services and chains.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Microsoft Copilot AI Just Dropped the Most Bullish XRP Prediction of 2026

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Microsoft Copilot AI Just Dropped the Most Bullish XRP Prediction of 2026

Microsoft Copilot AI is not easing into this predicts. By the end of 2026, XRP at $1.06 faces a bull case projecting $5 to $8, a level that treats regulatory approval as the trigger for a genuine repricing rather than a gradual climb.

Regulatory clarity sits at the center of the case. SEC and CFTC recognition of XRP as a digital commodity would remove the legal fog that has followed this asset for years.

Billions in ETF inflows, led by BlackRock, are identified as the second pillar. That kind of institutional entry point did not exist in any prior XRP cycle.

Source: Copilot AI XRP Price Prediction

Ripple’s own business expansion adds real-world weight. Japan’s expansion with the RLUSD stablecoin, tokenization partnerships with Archax, and XRP Ledger upgrades powering DeFi and real-world asset settlement all point toward genuine utility rather than speculative volume.

Macro tailwinds round out the bull case. Fed easing and a Bitcoin rally are cited as examples of broader conditions that tend to lift every major asset at once, including XRP.

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The bear case is specific about where the price gets stuck. If the CLARITY Act stalls, XRP stays range-bound at $0.85 to $1.50, with a sell wall at $1.44 acting as the ceiling that keeps rejecting advances.

Macro tightening that drains liquidity from the system is named as the other real risk. Copilot frames the entire outcome as hinging on one question: whether institutional adoption and tokenization flows actually materialize into sustained demand rather than staying announcements.

Xrp (XRP)
24h7d30d1yAll time

XRP Is Sitting Right On The Floor Of Its Own Bear Case

Price closed at $1.05989, down 0.50%, in a session ranging between $1.04395 and $1.06630. That places XRP almost exactly at the lower boundary of the range this same prediction describes as the bear scenario.

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Zoom out and the decline since December has been long and largely uninterrupted. XRP peaked near $2.40 in January, then broke down through February in a sharp single move, gapping from above $2.10 to under $1.70 in a matter of days.

Since that crash, price spent months compressing within a slowly narrowing range between roughly $1.30 and $1.60, then broke lower in June, sliding toward $1.00. The recovery attempt in July has been shallow, stalling near $1.20 before rolling back to current levels.

Support sits right here at $1.00, the psychological floor XRP is testing directly. Below that, there is little chart history to lean on before price would be trading in territory not seen this entire period.

Resistance stacks at $1.20, then $1.30, then the heavier ceiling near $1.44 that Copilot’s own bear case names as the sell wall. Momentum here is weak, with price grinding along its lows rather than building any base for a reversal.

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For any part of this bull case to gain traction, XRP first needs to reclaim $1.44, a level it has not closed above since May. Until that happens, this chart is doing exactly what the bear case describes, sitting on the floor rather than building toward the ceiling.

Here is what Copilot AI Predicts For LiquidChain’s Near Future

Every cycle has a moment where waiting becomes the most expensive decision you can make. That moment is now.

Bitcoin, Ethereum, and XRP are all pinned under the same resistance they have been testing for weeks. The macro unlock is perpetually one data point away. The institutional money keeps arriving next quarter. Large-cap traders waiting for a breakout are queuing for a decision that belongs to someone else entirely.

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Grok AI has identified what experienced cycle traders already act on. Capital that registers as statistical background noise at Bitcoin’s market cap can completely reprice a small, undiscovered project.

The asymmetry is not complicated. It lives in the distance between what something is genuinely worth and what the market has currently assigned it. The moment that distance gets noticed, it collapses. Before that moment, it is fully open.

Cross-chain fragmentation has been quietly taxing every DeFi participant since the first bridge went live. Bitcoin, Ethereum, and Solana were engineered independently with zero shared infrastructure and no design intent to communicate.

Every transaction crossing those ecosystem boundaries absorbs the cost of that decision in fees, failed execution, and slippage that hits before settlement even begins. The bridge industry did not fix this problem. It built a business model on top of it.

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LiquidChain removes the business model entirely. Three networks unified inside a single execution layer. One deployment reaches all of them simultaneously. No cross-chain tax is extracted from any interaction anywhere.

Copilot AI predicts it as a coin worth watching. The presale sits at $0.01454 with just over $860,000 raised.

Execution is unproven. Adoption is an open question. Established assets offer a smoother path toward a ceiling that the entire market can already see. LiquidChain is the entry point that stops existing once the market finds it.

LiquidChain Here.

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