XRP finally pushed through the $1.14 level that had capped recent attempts higher, but the move did not run cleanly into the next resistance band. Buyers drove the token as high as $1.158 on heavy volume before sellers forced a pullback toward $1.146, turning the session into a test of whether former resistance can now act as support.

News Background

• XRP spot ETFs recorded a ninth consecutive week of net inflows, adding $17.19 million despite broader market uncertainty.

• The CLARITY Act missed its expected timeline after the Senate adjourned for recess without a floor vote, leaving regulatory catalysts delayed.

• Santiment data showed XRP’s 30-day MVRV near -45% and 365-day MVRV near -47%, meaning most holders remained underwater across both shorter and longer timeframes.

• Several analysts pointed to improving technical structures, including a 4-hour downtrend break, bullish divergence and a possible Elliott Wave advance.

Price Action Summary

• XRP rose from $1.1344 to $1.1454 during the 24-hour session, gaining 2.87%.

• The breakout came at 22:00 UTC on July 5, when volume reached 81.89 million XRP, about 207% above the 24-hour average.

• The move carried XRP from $1.1356 to $1.1594 in two hours, clearing resistance near $1.1400.

TL;DR

• Spot Bitcoin ETFs recorded $526.64 million in net outflows last week, extending their losing streak to eight consecutive weeks.
• Spot Ethereum ETFs also posted net outflows of $13.67 million, marking an eighth straight week of withdrawals.
• In contrast, SOL, XRP, and HYPE ETFs attracted fresh capital, with XRP ETFs leading weekly inflows.
• Analysts say ETF flows remain a key indicator of institutional sentiment as investors monitor Bitcoin’s next market direction.

U.S. spot Bitcoin exchange-traded funds (ETFs) continued to face heavy selling pressure last week, recording $526.64 million in net outflows between June 29 and July 2. The latest withdrawals mark the eighth consecutive week of net outflows, the longest weekly redemption streak since spot Bitcoin ETFs began trading in the United States. 

The trend reflects continued caution among institutional investors as Bitcoin struggles to regain momentum. According to SoSoValue data, total net assets across U.S. spot Bitcoin ETFs have fallen to approximately $74.37 billion, while Bitcoin traded near $61,500 during the reporting period, as shown in the accompanying chart. The sustained redemptions come after June became the worst month on record for spot Bitcoin ETFs, with roughly $4.5 billion leaving the products. 

Spot Ethereum ETFs also remained under pressure, posting $13.67 million in net outflows over the same period. Like Bitcoin funds, Ethereum ETFs have now logged eight straight weeks of investor withdrawals, highlighting persistent risk-off sentiment across the two largest digital assets. 

Altcoin ETFs Buck the Trend as SOL, XRP, and HYPE Attract Fresh Capital

While Bitcoin and Ethereum products continued to lose assets, several newer crypto ETFs managed to attract fresh investment.

Spot Solana (SOL) ETFs recorded $5.75 million in weekly net inflows, while XRP ETFs brought in $17.19 million, making XRP the strongest performer among the major altcoin funds. Hyperliquid (HYPE) ETFs also remained in positive territory with $4.32 million in net inflows, although the figure represented a slowdown compared with previous weeks.

The divergence suggests that some investors are rotating capital into alternative digital assets rather than exiting the crypto ETF market entirely. Although Bitcoin remains the largest institutional investment vehicle in the sector, selective demand for altcoin-based products indicates that investors continue to seek exposure to projects they believe offer stronger upside potential.

Bitcoin ETFs Face Mounting Pressure Despite Brief Daily Recovery

Despite the weak weekly performance, the reporting period ended with a small sign of stabilization. On July 2, U.S. spot Bitcoin ETFs recorded more than $221 million in daily net inflows, breaking a 10-session outflow streak. However, analysts caution that a single positive trading day is unlikely to reverse the broader trend after eight consecutive weeks of withdrawals. 

Market observers attribute the prolonged outflows to a combination of macroeconomic uncertainty, higher interest-rate expectations, and reduced appetite for risk assets. Bitcoin has remained under pressure alongside broader financial markets, while institutional investors continue trimming exposure through ETF redemptions. 

Going forward, ETF flows are expected to remain a closely watched indicator of institutional sentiment. A sustained return to net inflows could signal renewed confidence in Bitcoin, while continued withdrawals may reinforce expectations of subdued demand until broader market conditions improve.

Asia’s crypto market is moving in different directions. Dubai and Taiwan are building formal licensing systems, while India and Russia are keeping state control at the center of digital asset policy.

Dubai’s Virtual Assets Regulatory Authority granted its 50th virtual asset service provider license to Tribe Tokenisation FZE. The milestone puts Dubai ahead of Hong Kong and Singapore by reported license totals, though license numbers do not show how many firms are active or how much business they handle.

Taiwan also moved ahead with its new crypto and stablecoin law. The law requires virtual asset service providers to get approval from the Financial Supervisory Commission before operating in the market.

Stablecoin issuers in Taiwan must also receive approval from the central bank and the FSC. They must keep enough reserves with a trustee and go through regular audits. The law gives Taiwan a clearer crypto framework as Japan, Singapore and Hong Kong compete for regulated digital asset firms.

India and Russia keep state control in focus

India’s central bank renewed its push to keep banks away from crypto and private stablecoins. The Reserve Bank of India reportedly told lawmakers that banks should avoid direct crypto exposure, while tokenized government securities and regulated financial products should be treated separately.

The RBI also reportedly warned that applying normal financial rules to speculative crypto assets could make users believe those assets carry official protection. Its position shows that India may support regulated tokenization while keeping crypto payments and settlements under pressure.

This follows wider regulatory pressure in India. Crypto.news recently reported that India’s USDT premium doubled after enforcement action disrupted stablecoin supply. India’s Financial Intelligence Unit has also sought large OTC crypto trade records from major exchanges.

Russia is taking another route through state-backed digital money. The country plans to launch the digital ruble on Sept. 1. Central bank governor Elvira Nabiullina reportedly said “everyone is ready” for the rollout.

Bitcoin firms make opposite treasury moves

Japan’s SBI Crypto will close its Bitcoin mining pool on July 31 after five years. SimpleMining data placed the pool as the 12th largest globally, with about 21.46 EH/s and 2.24% of the Bitcoin network share.

SBI Crypto asked miners to keep directing hashrate to the pool until the final day so final payouts can be calculated. The company said, “We would sincerely appreciate your continued support by mining with us until the final day of operation.”

Corporate Bitcoin activity also moved in opposite directions. Metaplanet bought 2,823 BTC in the second quarter, lifting its holdings to 43,000 BTC, according to a crypto.news report.

South Korea’s K Wave Media took the other side of the trade. The Nasdaq-listed company sold its remaining 88 BTC to repay $6 million in debt, ending its Bitcoin treasury strategy after earlier plans to build a larger position.

Tokenization and compliance shape Asia’s next stage

Tokenization also stayed in focus. Bank of Korea governor Hyun Song Shin said “The big prize is tokenizing government bonds” during a panel at the European Central Bank Forum on Central Banking in Sintra, Portugal.

Shin said tokenized bonds could make collateral checks and account crediting easier. He also described plans to connect tokenized government bonds, wholesale CBDCs and tokenized bank deposits through a unified ledger under Project Hangang.

Compliance pressure continued outside Asia as well. As crypto.news reported, Tether froze USDT in 131 ISIS-K-linked TRON wallets after OFAC added 134 crypto wallet identifiers tied to the group.

Kazakhstan also moved deeper into the regional crypto race. Solana Company signed an agreement to support Alatau City, a planned digital-first megacity. The project aims to build blockchain and crypto infrastructure as Kazakhstan works to expand its digital asset market.

Ether (ETH) led crypto majors into Monday as bitcoin held above $63,000, steadying after a week that pulled it off its lows and back to its highest in more than a month.

Bitcoin traded around $63,207, little changed on the day but up 5.5% over seven days, per CoinDesk data. Ether was the stronger performer over the week, up 12.4% to about $1,777, while BNB and dogecoin each gained around 5.5%. Solana held near $80.77 with an 11.2% weekly rise and Hyperliquid’s HYPE led the majors, up 14.6% on the week. XRP traded at $1.14, up 9.4% over seven days.

The gains held even as the backdrop turned cautious. A rebound in semiconductor and technology shares lost steam, reviving doubts about how durable this year’s AI-driven rally is. South Korea’s Kospi fell 1.4% as Samsung Electronics and SK Hynix declined, and an MSCI gauge of Asian chipmakers slipped.

Brent crude fell 0.6% to about $71.70 a barrel, easing some inflation pressure ahead of the U.S. price data due later this month.

The dollar strengthened against all its major peers, a headwind for crypto that has tracked the currency’s moves through the past quarter.

European regulators and central bankers are warning that the financial risks posed by “agentic” and increasingly autonomous artificial intelligence may be arriving faster than legal and supervisory frameworks can adapt. Their message is less about whether AI will be used in finance, and more about how it could behave under stress—when liquidity thins, volatility rises, and systems that rely on machine decision-making are pushed beyond normal operating conditions.

In recent remarks across Europe, officials raised concerns ranging from market-wide instability caused by faulty AI-driven trading to a widening gap between rapid AI development and the slower cadence of rulemaking. They also linked the issue to broader financial stability risks, including leverage and potential “boom-bust” dynamics in AI-linked asset markets.

Key takeaways

• Central bankers warn rulemaking may lag agentic AI: officials said traditional regulatory cycles struggle when AI technologies shift in weeks or months.
• Volatility could be amplified during stress: Bank of England deputy governor Sarah Breeden suggested AI could worsen market disruptions unless guardrails exist.
• Security and defense funding remain a weak point: ECB president Christine Lagarde argued cybersecurity risks are becoming more severe as models accelerate.
• AI leverage and refinancing risks are on regulators’ radar: warnings from the BIS and IMF pointed to debt-asset maturity mismatches and disruptive feedback loops.

Why European officials think agentic AI changes the risk equation

Bank of England deputy governor Sarah Breeden is among the central bankers arguing that agentic AI—systems that can act with a degree of autonomy—could intensify instability during periods of market stress. Speaking at the European Central Bank’s annual meeting in Sintra, Portugal, on Tuesday, Breeden raised the question of whether regulators should implement guardrails that function like “circuit breakers” or “kill switches,” designed to limit or stop market-wide trading if faulty AI models trigger a meltdown. In her remarks, she emphasized the potential for automation to turn localized errors into systemic disruptions.

The concern is not merely that AI could make trading decisions faster, but that it could create correlated behavior across market participants. When multiple systems respond similarly to the same signals—particularly under stress—small model failures could cascade into larger price swings.

Breeden also tied the issue to the competitive landscape for AI development. She noted that US companies lead in AI investment and frontier model development, while Europe’s financial system offers fewer capital channels into AI than US equity markets. She warned that regulating “too cautiously” could widen this gap further if AI firms seek out jurisdictions with less burdensome compliance requirements.

Regulation cycles can’t keep up, watchdogs say

Other regulators echoed Breeden’s core point: the speed of AI innovation makes conventional policymaking approaches ill-suited. Nikhil Rathi, CEO of the UK’s Financial Conduct Authority, told CNBC’s Squawk Box on Thursday that traditional regulation cycles do not work when the technology evolves rapidly. As he put it, some AI-related technologies move in weeks or months, which means a “traditional cycle of rulemaking simply doesn’t work.” He argued that regulators need “new tools” and a more collaborative way of working with markets.

This view is consistent with the broader European stance that governance frameworks must be designed to handle iterative updates and rapid deployment. In practice, that suggests supervisors may need to focus not only on static compliance at launch, but also on how models are monitored and controlled as they change over time.

At the same time, central bankers have repeatedly linked the discussion to other parts of the financial system, including cyber risk and market integrity. Those overlap points matter to crypto markets as well, since many on-chain and off-chain infrastructures rely on automated processes, and crypto trading systems can react quickly to market signals.

Cybersecurity and “defense” gaps are worsening with model acceleration

Christine Lagarde, president of the European Central Bank, warned in an interview with Les Echos on Thursday that AI technology poses a “major risk.” She contrasted today’s environment with the past decade, when regulators focused on cybersecurity threats such as hacking, data theft, and other forms of compromise.

Lagarde said the acceleration and deeper capabilities of AI models create a “much more serious risk,” partly because events can unfold quickly and partly because effective defense mechanisms and the funding needed to build them have not yet been fully found. Her remarks reframed cybersecurity from a slow-moving threat landscape into a faster feedback environment where response times and resourcing become critical.

From an investor and operator standpoint, that framing implies that AI-related risk management may need to cover not only model accuracy, but also the systems surrounding them—access controls, incident response capabilities, monitoring, and the ability to contain harms when something goes wrong.

Boom-bust warnings: leverage, asset pricing, and macro feedback loops

Separate from concerns about trading autonomy, European and global institutions have also flagged the possibility that AI-linked market activity could create financial stability vulnerabilities. On June 28, the Bank for International Settlements warned that “AI exuberance” could lead to major financial consequences.

The BIS noted that if central banks tighten policy to help contain inflation, it could trigger a sharp pullback in AI-related asset prices after a prolonged period of risk-taking. It warned that this could generate “disruptive macro-financial feedback loops.” In other words, asset price declines could impact broader financial conditions in a way that feeds back into the real economy, tightening conditions further and potentially worsening the initial downturn.

Breeden added a related observation in her Sintra remarks: debt financing has been rising rapidly, and she judged that the financial stability consequences of any fall in AI-related asset prices could increase. That emphasis on leverage suggests regulators are concerned not just with valuations, but with how funding structures could transmit shocks.

The IMF also contributed to the discussion. Tobias Adrian, Director of the IMF’s Monetary and Capital Markets Department, said in an interview with Bloomberg on June 30 that there is a “potential maturity mismatch” between the duration of physical assets and the duration of debt. The risk here is that companies or sectors may face refinancing pressure at the same time cash flows deteriorate—creating a pressure point that can amplify stress.

What comes next for markets watching AI risk controls

The immediate takeaway for market participants is that supervisors may increasingly push for risk management expectations that reflect fast-moving AI deployment—covering both operational safeguards (including cybersecurity and “circuit breaker”-style controls) and financial stability concerns tied to leverage. Investors should watch whether regulators move toward more dynamic oversight frameworks for AI-driven systems and whether AI-related financing conditions change as monetary policy expectations evolve.

TLDR:

• Bitcoin price reclaimed the $63,500 area after volatile trade, keeping the short-term structure constructive while $65,700 stays the next upside test.
• Spot Bitcoin ETFs pulled in fresh demand after a long outflow streak, giving buyers a stronger institutional signal after June’s weakness.
• Weak U.S. labor data cooled rate-hike fears, helping BTCUSD as Treasury yields eased and traders moved back into selected risk assets.
• A break below $63,500 could shift attention toward $61,000, while sustained support may force more short-covering near resistance.

Bitcoin price traded near $63,173 on Monday after a volatile session around the reclaimed $63,500 area. BTCUSD moved between $62,468 and $63,874, showing fast movement around a key support zone. 

The move followed weaker U.S. labor data, renewed spot Bitcoin ETF inflows, and short liquidations near $62,000. Traders are now watching whether Bitcoin can hold $63,500 and retest $65,700, where the last major rejection developed.

Bitcoin Price Holds Key Support After ETF Inflows Return

Bitcoin price action improved after U.S.-listed spot Bitcoin ETFs posted $221.7 million in net inflows. The daily intake ended a 10-day outflow streak and marked the strongest inflow in about two months. That shift mattered as June had damaged sentiment across institutional crypto products.

The inflow also arrived as Bitcoin reclaimed the $63,500 zone. Analyst That Martini Guy says the first rejection at that level looked normal. He added that prior resistance rarely breaks on the first attempt.

The technical setup now depends on whether buyers defend the area. Holding $63,500 keeps the short-term structure constructive. A clean push above it could put $65,700 back in focus.

A loss of $63,500 would weaken the rebound. The next downside area sits near $61,000, based on the analyst’s chart view. That level would show whether recent buying was durable or only a relief move.

Spot demand and derivatives flows also shaped the rally. Short sellers were exposed after Bitcoin moved above $62,000. Forced buybacks then added speed to the recovery and lifted BTC through crowded intraday levels.

The setup is still fragile. Bitcoin price has recovered support, but it has not cleared the last rejection zone. Buyers need steady volume and follow-through before the move looks more durable.

Fed Minutes And Labor Data Put BTCUSD Traders On Alert

Bitcoin price also gained support from softer U.S. labor data. June nonfarm payrolls rose by only 57,000, below expectations for 110,000. May job gains were revised lower, while the unemployment rate fell to 4.2% as labor force participation dropped.

That report lowered fears of a near-term Federal Reserve rate hike. Treasury yields eased, the dollar softened, and risk appetite improved. Lower yields often help non-yielding assets, including Bitcoin and gold.

This week brings more macro risk for BTCUSD traders. The Federal Reserve will release minutes from its June meeting on Wednesday. The minutes could show how officials judged inflation risks under new Chair Kevin Warsh.

Investors will also monitor services PMI, ADP employment data, and jobless claims. These numbers may shape rate expectations before earnings season starts. A stronger inflation or labor signal could pressure the Bitcoin price again.

For now, traders are weighing two opposing forces. ETF inflows and reclaimed support favor another test higher. Yet June’s heavy outflows, weak liquidity, and regulatory pressure in Europe still limit conviction.

Bitcoin price needs sustained spot demand to extend the recovery. A hold above $63,500 keeps $65,700 in play. Failure there could reopen the $61,000 area as traders reassess leverage and macro risk.

TL;DR

• Bitcoin whale inflows to Binance have dropped 34% since June 12, outpacing the decline in retail deposits.
• Retail inflows fell 18%, highlighting a slower pullback among smaller investors.
• The widening gap between whale and retail inflows suggests reduced exchange activity from large BTC holders.
• Lower whale deposits could ease potential selling pressure if the trend continues.

Bitcoin whale activity on Binance has slowed considerably over the past few weeks, with new on-chain data showing that large holders are moving significantly less BTC to the exchange than they were in mid-June. The decline has outpaced the slowdown in retail deposits, suggesting a shift in how different investor groups are positioning themselves.

Data from CryptoQuant shows the 30-day rolling value of Bitcoin whale inflows to Binance fell from approximately $7.04 billion on June 12 to $4.65 billion by July 6, representing a decline of about $2.39 billion, or 34%.

Whale Exchange flow Data | Source: CryptoQuant

Retail investors also reduced their exchange deposits during the same period, although at a much slower pace. Retail inflows declined from roughly $10.02 billion to $8.20 billion, a drop of $1.82 billion, or around 18%.

The sharper contraction among whales means large holders have pulled back from sending Bitcoin to Binance at nearly twice the rate of smaller investors.

Bitcoin Whale Activity Slows Faster Than Retail

The difference between whale and retail behavior has become increasingly noticeable over the past month.

While retail investors continue to account for the larger share of exchange inflows, the gap between the two groups has widened. The difference grew from approximately $2.98 billion in mid-June to around $3.55 billion by early July, highlighting the faster retreat in whale transfers.

Exchange inflows are closely monitored because they often indicate that investors are preparing to trade or liquidate assets. Although transferring Bitcoin to an exchange does not automatically mean a sale is imminent, reduced inflows from whales generally imply that fewer large holders are positioning coins for potential selling.

That could translate into lower exchange-side selling pressure, especially if whales continue keeping their holdings in self-custody or other long-term storage solutions rather than moving them onto trading platforms.

The latest figures also align with a broader trend seen throughout this market cycle, where institutional and long-term investors have increasingly favored holding strategies instead of actively rotating large amounts of Bitcoin through exchanges.

Market Watches Whether the Trend Continues

The next key question is whether whale inflows have simply paused or whether the decline marks the beginning of a more sustained trend.

If whale deposits remain around the current $4.65 billion level or fall even further, it would reinforce the view that large Bitcoin holders are becoming less active on Binance relative to retail participants. Such a development could reduce one potential source of short-term market supply.

On the other hand, a renewed increase in whale inflows would likely signal that major investors are once again moving funds closer to trading venues, something traders often watch for signs of changing market sentiment.

For now, the data suggests that while retail investors continue using Binance at relatively steady levels, Bitcoin whales have become noticeably more cautious in transferring assets to the exchange. Whether that reflects growing confidence in holding BTC over the longer term or simply a temporary pause remains one of the key on-chain trends to watch in the weeks ahead.

TL;DR

• Coinbase is investigating an AI-generated alert that falsely reported a World Cup result before the match began.
• CEO Brian Armstrong confirmed the company is reviewing the incident after users raised concerns.
• The error has sparked fresh debate over the reliability of AI-generated prediction market content.
• The incident highlights the need for stronger AI safeguards as Coinbase expands its AI-powered financial products.

Coinbase is investigating an AI notification that falsely reported the outcome of a FIFA World Cup match before the game had even begun, prompting criticism over the reliability of artificial intelligence in prediction markets.

The erroneous alert claimed that Norway had defeated Brazil 3-2, with striker Erling Haaland scoring twice. However, Coinbase’s own prediction market page showed the fixture was under a weather delay at the time, meaning no official result existed when the notification was sent.

The incident quickly drew attention across social media, raising fresh questions about the safeguards surrounding AI content on financial platforms.

Brian Armstrong Confirms Internal Review

Coinbase CEO Brian Armstrong acknowledged the issue after users flagged the false notification online, confirming that the company had begun investigating what went wrong.

“Taking a look with the team – thanks for reporting it,” Armstrong said in response to user complaints.

The exchange has not disclosed what caused the incorrect alert or whether it originated from an AI model, an automated data feed, or another internal system. Coinbase also has not indicated whether similar notifications will be paused while the investigation is underway.

The mistake is particularly notable because Coinbase has increasingly incorporated artificial intelligence into its products and operations. The company has also expanded its presence in prediction markets through its partnership with Kalshi, offering users access to event-based markets alongside traditional crypto services.

The false notification has also reignited debate over Coinbase’s positioning of prediction markets as tools that can help surface reliable information. Critics argued that sending an incorrect result before an event had taken place undermines confidence in AI-powered alerts, particularly when they are integrated into financial products.

AI Accuracy Faces Growing Scrutiny

The latest incident adds to the broader conversation surrounding the use of artificial intelligence in customer-facing financial services, where inaccurate information can quickly spread to large numbers of users.

Although Coinbase’s prediction market page correctly displayed that the match had been delayed due to weather conditions, the conflicting push notification created confusion by presenting a fabricated final score as though it were an official outcome.

The company has previously dealt with notification-related issues. Earlier this year, Armstrong addressed a separate bug involving push notifications, noting that Coinbase generally prefers to resolve technical problems without unnecessarily restricting customer access to its services.

So far, Coinbase has not reported any material impact on its business or share price following the incident. Instead, attention has shifted toward how the exchange verifies AI content before it reaches users.

As financial technology firms continue integrating artificial intelligence into trading platforms, prediction markets, and customer communications, maintaining accuracy is becoming increasingly important. The Coinbase incident highlights the challenges of balancing automation with reliability, particularly when AI-generated information has the potential to influence user decisions or public perception.

While the investigation continues, the episode serves as a reminder that AI-powered tools are dangerous and require robust oversight, especially as crypto exchanges expand their use of artificial intelligence across core products and market services.

Nearly one million investors in Donald Trump’s memecoin, Official Trump (TRUMP), are sitting on paper losses totaling about $3.8 billion, according to an analysis published by The New York Times that relies on on-chain analytics from Nansen. The findings underscore a familiar pattern in retail-heavy memecoins: a small group of early wallets capture outsized gains while the broader base carries most of the downside.

The same Nansen analysis also points to losses among buyers of World Liberty Financial’s token (WLFI), a crypto asset tied to a trading platform co-founded by Trump and his three sons. Together, the data arrives amid renewed scrutiny sparked by Trump’s financial disclosures describing substantial crypto-related income.

Key takeaways

• According to Nansen data cited by The New York Times, 988,905 TRUMP wallets (about two-thirds of buyers) were losing money as of the end of June.
• Total TRUMP losses for those wallets were reported at $3.81 billion, while a smaller group of wallets recorded gains totaling about $4 billion.
• Separate Nansen analysis of WLFI found that 85% of the company-tracked wallets held losses, totaling $83 million, with the rest profiting $23 million.
• Trump’s recent financial disclosure described substantial income from his crypto ventures, adding fuel to concerns about conflicts of interest while in office.

TRUMP holders face broad losses, early buyers capture gains

The New York Times reported that as of the end of June, 988,905 TRUMP buyers—roughly two out of every three—were underwater. Across those wallets, losses were estimated at $3.81 billion, with Nansen’s analysis including both holders who were still holding at a loss and those whose positions were already marked negative by the time of measurement.

By contrast, just under half a million wallets recorded profits. In total, the reporting stated that profitable wallets accounted for about $4 billion in gains. Nansen characterized the distribution as skewed, describing it as “a small number of early buyers capturing enormous gains while the broad retail majority absorbed the losses.”

The contrast matters for how investors interpret memecoin risk. These tokens often start with hype and easy participation, but the on-chain outcome can be highly uneven—especially when early buyers benefit from momentum and late entrants become liquidity providers to the exit of better-positioned traders.

In terms of performance since launch, the token’s peak is reported at more than $73 shortly after it debuted. Since then, it has fallen by over 97%, and CoinGecko data in the report placed TRUMP at about $1.70 at the time of publication.

Financial disclosure raises new questions around crypto involvement

The TRUMP loss analysis arrives days after Trump’s annual financial disclosure, released earlier in the week, drew attention for crypto-related earnings. The filing reportedly showed that Trump earned more than $1.4 billion in income from crypto ventures last year, renewing debate around how personal financial interests intersect with public duties.

The disclosure, described as nearly 1,000 pages, also reportedly indicated Trump made over $630 million on the TRUMP memecoin. Meanwhile, the filing suggested that all token buyers combined made a net profit of around $200 million—an aggregate that contrasts sharply with the large number of losing wallets highlighted by Nansen.

This mismatch points to a crucial detail investors may overlook: even if the broader market settles slightly positive in aggregate, individual outcomes can still be heavily negative for most participants. Large early wins can dominate totals even when most holders end up losing money.

Trump launched the memecoin in January 2025, shortly before returning to office. The New York Times coverage and the Nansen-based approach place particular emphasis on buyer-level outcomes as of the end of June, offering a more granular view than price-only narratives.

WLFI token analysis suggests similar imbalance for retail buyers

Nansen’s work also extended to World Liberty Financial (WLFI), a token connected to the crypto trading platform of the same name. The platform’s co-founders include Trump and his three sons, according to the reporting in the article.

The token was reportedly sold directly to investors in two early rounds: first at 1.5 cents, and later at 5 cents. The analysis cited by The New York Times suggested that buyers who entered at 5 cents likely made a small profit overall. But among the nearly 27,000 wallets Nansen tracked, 85% recorded losses totaling $83 million, while the remaining wallets profited $23 million.

The article also cautioned that losses may be understated. Nansen reportedly noted that additional buyers likely purchased WLFI on exchanges where the relevant data is not public, meaning some losing positions may not be captured in the wallet set the firm analyzed. It was also noted that WLFI later became available to the public via secondary exchanges in September.

From a business-flow perspective, the reporting stated that Trump’s financial disclosure indicated he earned just under $800 million from the World Liberty Financial platform last year. The same section of the article said the Trump-linked business received 75% of WLFI sales regardless of the token’s price—an arrangement that could matter when assessing who captures value as token pricing fluctuates.

Scrutiny continues as Trump addresses conflict-of-interest concerns

In an interview with CNBC reported by Cointelegraph, Trump was described as dodging questions about perceived conflicts of interest related to his crypto activity and said there was “nothing illegal” and “nothing wrong” with the disclosed profits, adding that others were responsible for the investments.

For market participants, the emerging theme across these different threads—wallet-level loss concentration for both TRUMP and WLFI, and the scale of crypto-related income described in financial disclosures—is that retail participation may be riskier than price charts alone suggest. The on-chain outcomes reported by Nansen point to an uneven value transfer, where early access and execution timing can outweigh later entry enthusiasm.

Investors should watch whether additional on-chain breakdowns expand beyond the tracked wallet sets (especially for WLFI), and whether future disclosures provide clearer detail on how token-linked revenues and allocations are structured. As long as memecoins and tokenized platform interests remain central to attention, the key question is how consistently late participants are protected—or whether, as the Nansen analysis implies, they continue to pay most of the cost of early wins.