Ethereum Founder Dumps 100,000 ETH Worth $170M, What’s Going On?

bitcoinistPublished on 2026-06-09Last updated on 2026-06-09

Abstract

A viral rumor in the crypto space claimed Ethereum co-founder Vitalik Buterin had sold 110,000 ETH (worth ~$170M), sparking fears of a major market downturn. Analysts suggested it could be a bearish signal, comparing it to past sell-offs before crashes. However, the community quickly countered, revealing the transaction was actually by co-founder Joseph Lubin. On-chain analysis showed the ETH was not sold but moved as collateral into a DeFi vault to manage loan liquidation risk, with no tokens entering the open market. Critics called the initial reports exaggerated misinformation and urged verifying data through reliable on-chain tools.

A viral claim is spreading across the crypto space, suggesting that Ethereum’s co-founder, Vitalik Buterin, had dumped a massive amount of ETH in a short period. The report has sparked fears of a major price decline, raising investor concerns. It also drew sharp reactions from ETH community members, as debate ignited over whether the sell-off move indicated deeper market weakness or misinformation.

Ethereum Co-founder Dump Claims Shake The Market

Crypto investors and traders were rattled this week after reports claimed Buterin had sold a large portion of his ETH holdings. Market watchers reacted to a widely circulated post, with images alleging that he had dumped 110,000 ETH, worth $170 million, in just a few hours on June 5.

The report also sparked intense concern, with one analyst arguing that if the creator of Ethereum was moving out of the market, investors should also consider doing the same. Another market participant, @CryptoNobler, compared the alleged 110,000 ETH sell-off to a transaction Buterin made three years ago.

Source: Chart from @CryptoNobler on X

The analyst recalled that the Ethereum co-founder had sold all his crypto right before the market crashed, implying insider knowledge. This suggests that the analyst believes that a similar bearish move could be on the horizon.

Another analyst, Midas, reported that the claimed sell-off was one of the largest insider ETH exits he has ever seen. He noted that a sale of that level by a co-founder was a strong bearish signal for the crypto market.

Other social media posts amplified the story further, claiming that Buterin anticipated a major market drop and was allegedly selling his ETH holdings to avoid losses. These analysts are now warning investors to monitor the situation closely, framing it as an event that could influence investors’ sentiment on Ethereum and the broader crypto ecosystem.

Community Pushes Back And Reveals Truth Behind Transaction

Despite the headlines, many in the crypto community quickly challenged the claims, describing the reports as misleading and widely exaggerated. On-chain analysis revealed that the Ethereum cofounder involved was not Buterin but actually Joseph Lubin. They revealed that Lubin had not sold off $170 million worth of ETH but had moved it into a decentralized finance (DeFi) vault. The transaction was designed to reduce liquidation risk on an existing loan.

Data also show that ETH was transferred through DSProxy contracts and used as collateral in the DeFi position, with roughly 178,000 WETH supplied and $103 million DAI borrowed against it. This is a standard liquidity management strategy in the DeFi space, allowing holders to maintain full exposure to ETH while borrowing stablecoins. Community members also confirmed that no ETH had entered the open market, and Lubin’s position still holds a net value of about $173 million.

After clarifying the situation, community members criticized the individual spreading the false narrative, noting that they were trying to attract attention by creating viral stories. Given the level of misinformation involved, they urged people to always verify transactions with reputable on-chain tools like Arkham Intelligence or Etherscan before amplifying co-founder dump stories.

ETH trading at $1,665 on the 1D chart | Source: ETHUSDT on Tradingview.com

Related Questions

QWhat was the viral claim that spread across the crypto space this week?

AThe viral claim was that Ethereum's co-founder, Vitalik Buterin, had sold 110,000 ETH worth $170 million in a few hours on June 5.

QWhy did some analysts view the reported sell-off as a bearish signal for the market?

AAnalysts viewed it as a bearish signal because they recalled Buterin selling his crypto before a previous market crash, implying potential insider knowledge, and considered a co-founder's large sale a sign of deeper market weakness.

QWho was actually involved in the large ETH transaction, and what was its purpose?

AThe transaction involved Ethereum co-founder Joseph Lubin. He moved ETH into a DeFi vault as collateral to reduce liquidation risk on an existing loan, not to sell it on the open market.

QWhat was the community's reaction to the initial claims about Buterin selling ETH?

AThe community quickly challenged the claims, describing them as misleading and exaggerated. They clarified the truth behind the transaction and criticized those spreading the false narrative.

QWhat tools did community members suggest using to verify such transactions?

ACommunity members urged people to verify transactions with reputable on-chain tools like Arkham Intelligence or Etherscan before amplifying stories about co-founder sell-offs.

Related Reads

MicroStrategy Will Not Die in This Downturn: Reflexivity, STRC Anchoring Back to Par, and the Self-Rescue Logic of "Sell Stock, Not Bitcoin"

This article analyzes the recent sharp decline in Bitcoin and MicroStrategy (MSTR), framing it as a targeted "reflexivity" attack. The trigger was MSTR using its cash reserves to buy back convertible notes, raising market concerns about a liquidity crisis. The playbook follows George Soros's principle: market expectations can shape reality. Fears that MSTR might be forced to sell BTC caused panic selling, lowering BTC's price and worsening MSTR's financial ratios, thus reinforcing the negative narrative. The author argues that MSTR's Structured Convertible (STRC), while falling in price, is a floating-rate security that will eventually return to par value (100). The price drop reflects the market demanding a higher yield due to perceived risk, but as a floating-rate instrument, its coupon can adjust, naturally pulling the price back to par over time. This is crucial for MSTR's continued ability to raise funds. The core thesis is that MSTR's best move to counter the attack is to **issue new equity (sell shares)**, not sell its Bitcoin holdings. While selling BTC would solve the immediate cash crunch, it would destroy the company's core investment thesis and premium. It would dilute the BTC per share, likely erase the market premium over its net asset value (mNAV > 1), and worsen its debt-to-asset ratio. Issuing shares while mNAV is high (e.g., 1.25x) allows MSTR to raise cash for reserves without harming shareholder value or the "perpetual accumulation" narrative. It improves the debt ratio and reassures STRC holders, breaking the negative reflexivity cycle. In conclusion, while MSTR could survive this episode even by selling BTC, doing so would fundamentally alter its investment proposition and weaken it for future cycles. The optimal, value-preserving strategy is to sell equity to rebuild reserves and maintain the long-term growth flywheel.

marsbit3m ago

MicroStrategy Will Not Die in This Downturn: Reflexivity, STRC Anchoring Back to Par, and the Self-Rescue Logic of "Sell Stock, Not Bitcoin"

marsbit3m ago

Humanity Loses $31 Million, a Private Key Causes Token Price to Plunge 90%

On June 9th, the digital identity project Humanity Protocol suffered a major security breach resulting in over $31 million stolen from hundreds of wallets holding its H token. The attack was caused by the compromise of a private key belonging to a foundation member, leading the team to advise users against interacting with its bridge or liquidity pools. Following the incident, the price of the H token plummeted by over 90%, from around $0.70 to a low of $0.052, wiping out a significant portion of its market capitalization. The attacker allegedly minted 100 million new H tokens and began selling them for BNB. Humanity Protocol, founded in 2024, aimed to verify human users through palm-print biometrics and zero-knowledge proofs on Polygon CDK. Despite raising $50 million across two funding rounds and achieving a unicorn valuation, the project faced prior controversies. Shortly after its June 2025 token launch, reports emerged that only about 1 million of its 9 million registered IDs had completed biometric verification, suggesting 88% might be bots. Furthermore, allegations surfaced that the project might be a rebranded "shell" of a Chinese access control company, raising concerns about data privacy and authenticity. The project's founder, Terence Kwok, has a controversial business history. His previous venture, Tink Labs, burned through $170 million in funding before collapsing in 2020. The breach highlights the persistent critical risk of private key management in crypto. With no user compensation plan detailed in the initial response, the incident deals a severe blow to trust in a project already struggling with credibility issues.

Foresight News24m ago

Humanity Loses $31 Million, a Private Key Causes Token Price to Plunge 90%

Foresight News24m ago

How to Conduct Deep Research Using Claude's Dynamic Workflows

The article "How to Use Claude's Dynamic Workflows for Deep Research" discusses overcoming the pitfalls of technical research, where both humans and AI can get overwhelmed by information, leading to vague conclusions. It introduces Claude Code's new "Dynamic Workflows" feature, which automatically designs and executes task-specific workflows before starting a task, unlike simpler "planning modes." This approach incorporates validation, result convergence, and adversarial verification from the outset. The core of Dynamic Workflows is six predefined scheduling patterns that address how to decompose tasks and synthesize results: 1. **Classify-and-Act (Routing):** An agent classifies the task and routes it to the most suitable specialist agent for execution. It's precise and efficient but struggles with ambiguous tasks. 2. **Fan-out & Merge:** The task is split into parallel, independent subtasks whose results are later merged. It's fast and isolates contexts but is more expensive and challenging to synthesize. 3. **Adversarial Verification:** Multiple "challenger" agents critique a worker agent's conclusion, requiring majority approval. This counters confirmation bias and self-assessment errors but relies on verifiable facts. 4. **Generate & Filter:** Multiple agents generate many candidate solutions, which are then filtered against a rubric to output only the best. It fosters diversity but depends heavily on the filter's quality. 5. **Tournament:** Multiple agents compete on the same task, with pairwise comparisons eliminating contestants over rounds to select the best. This offers stable relative judgment but is complex. 6. **Loop:** An agent iteratively attempts a task, learning from errors and adjusting until a stop condition is met. It handles tasks with unknown scope but risks infinite loops without proper design. The author compares their own custom deep-research system, which involved multi-agent analysis and deduplication but lacked goal-oriented convergence, to Claude's built-in workflow. The official workflow adds critical layers: initial problem decomposition, credibility assessment of sources, cross-agent voting to delete weak conclusions (not just averaging), and output tightly focused on the user's original goals and actionable recommendations. This structurally addresses common AI issues like goal drift, premature stopping, context pollution, and output bias. In summary, Dynamic Workflows represent a shift from smarter single conversations to a structured research process, compressing what used to require many dialogues into 3-4 interactions, albeit at higher token cost. The author notes remaining challenges for their specific domain (blockchain research): the need for fact-based verification over official documentation, depth in truly novel interdisciplinary thinking, the practical validation of proposed solutions, and tailoring information density to the audience.

marsbit35m ago

How to Conduct Deep Research Using Claude's Dynamic Workflows

marsbit35m ago

When LPs Teach Me Investment with Doubao: A Self-Narrative of a Private Equity GP Switching Careers

When LPs Use Doubao to Teach Investing: A Transition Story of a Private Equity GP AI is making life increasingly difficult for small private equity fund managers, as a former GP of an offshore dollar fund reveals. The fund, managing tens of millions in US stocks, outperformed the Nasdaq but struggled with fundraising. Its traditional Cayman SPC/BVI structure failed to attract major Asian LPs, who now prefer Hong Kong LPF or Singapore VCC frameworks. The rise of AI-powered quantitative strategies has further squeezed the space for funds like his, which relied on subjective, discretionary investing. AI tools have leveled the information playing field, empowering LPs—often high-net-worth individuals, entrepreneurs, or family offices—to analyze investments themselves using chatbots like Doubao. This has eroded trust in GPs' expertise, leading to more frequent challenges over investment decisions and even withdrawals, especially during market rallies when retail investors sometimes outperform funds. Friction arises not necessarily from AI's capabilities but from how LPs use it. Many rely on conversational AI for validation rather than rigorous analysis, sometimes receiving misleading or hallucinated advice. While AI democratizes research, effective investing still requires discerning real insight from plausible-sounding output. Ultimately, AI is unlikely to fully replace GPs. Asset management remains a trust-based service. However, the industry must adapt. The future may see "human私募" (private equity) learning from AI and focusing more on providing value beyond pure analysis—perhaps by mastering the emotional intelligence and trust-building that machines cannot replicate.

Odaily星球日报1h ago

When LPs Teach Me Investment with Doubao: A Self-Narrative of a Private Equity GP Switching Careers

Odaily星球日报1h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of ETH (ETH) are presented below.

活动图片