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AI to Strengthen DAO Governance

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Crypto Breaking News

Vitalik Buterin, a co-founder of Ethereum, argues that artificial intelligence could reshape decentralized governance by addressing a core constraint: human attention. In a Sunday post on X, he warned that despite the promise of democratic models like DAOs, decision-making is hindered when members must tackle a flood of issues with limited time and expertise. Participatory rates in DAOs are often cited as low — typically between 15% and 25% — a dynamic that can concentrate influence and invite disruptive maneuvers when attackers seek to pass proposals without broad scrutiny. The broader crypto ecosystem is watching how AI tools could alter governance, privacy, and participation.

Key takeaways

  • Attention limits are identified as a primary bottleneck in democratic on-chain governance, potentially hindering timely decisions in DAOs.
  • Delegation, while common, risks disempowering voters and centralizing control in a small group of delegates.
  • DAO participation averages around 15–25%, creating opportunities for governance attacks and misaligned proposals.
  • AI-powered assistants, including large language models, could surface relevant information and automatically vote on behalf of members, provided privacy and transparency safeguards are in place.
  • Privacy remains a critical design concern; proposals for private LLMs or “black box” personal agents aim to protect sensitive data while enabling informed judgments.
  • Parallel efforts, such as AI delegates from the Near Foundation, illustrate practical explorations into scalable, participatory governance models.

Market context: The governance conversation unfolds amid broader discussions about AI safety, on-chain transparency, and regulatory scrutiny of token-weighted voting mechanisms. As networks scale, trials with AI-assisted decision-making could influence how quickly new proposals are vetted and executed, impacting liquidity, risk sentiment, and user participation across the crypto ecosystem.

Why it matters

The notion of AI-assisted governance enters crypto governance at a pivotal moment. If DAOs are to meaningfully scale beyond niche communities, they must solve the “attention problem” that limits who can participate and how often. Buterin’s argument centers on the danger that without broad and informed participation, governance can drift toward the preferences of a vocal minority or, worse, become vulnerable to coordinated attacks. The cited participation range, often quoted as 15–25%, underscores the fragility of consensus in diverse, globally distributed communities. When only a fraction of members engage, a coordinated actor with concentrated token holdings can steer outcomes that don’t reflect the broader base.

AI-powered assistants offer a potential path forward by translating dense policy options into actionable votes, tailored to an individual’s stated preferences. The idea rests on personal agents capable of observing user input — writing, conversations, and explicit statements — to infer voting behavior. If a user is uncertain about a specific issue, the agent would solicit input and present relevant context to inform the decision. This approach could dramatically increase effective participation without requiring each member to study every proposal in depth. The concept is anchored in current research into large language models (LLMs), which can aggregate data from diverse sources and present concise options for voter consideration.

Still, the privacy dimension looms large. Buterin has stressed that any system enabling more granular inputs must protect sensitive information. Some governance challenges arise precisely because negotiations, internal disputes, or funding deliberations often involve material that participants would prefer not to expose publicly. Proposals for privacy-preserving architectures include private LLMs that process data locally or cryptographic methods that output only the voting judgment, without revealing the underlying private inputs. The aim is to strike a balance between empowering voters and safeguarding their personal information.

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Industry voices beyond Buterin echo this tension. Lane Rettig, a researcher at the Near Foundation, has highlighted parallel efforts to use AI-driven digital twins that vote on behalf of DAO members to counter low voter turnout. The Near Foundation’s exploration, described in coverage linked to AI delegation, signals a broader push to test AI-enabled delegation tools within a governance framework that remains accountable to the community. For those following the space, leadership in this domain is moving from conceptual discussions to concrete prototypes that can be observed and tested on real networks.

Another facet concerns strategic risk. The potential for “governance attacks” remains a real concern in token-weighted systems, where a malicious actor could amass enough influence to push harmful proposals. Researchers and builders are keen to ensure that any AI-assisted approach includes checks and balances, such as transparent audit trails, user override capabilities, and governance-rate limits to prevent rapid, unilateral shifts in policy. The literature and case studies cited in industry coverage emphasize that while technology can augment participation, it must not bypass the need for broad human oversight and robust protection against privacy invasions or manipulation. For context, earlier discussions in the crypto press have explored simulated transactions and other security models as ways to harden governance against abuse.

As the field evolves, partnerships and experiments in AI-assisted voting will continue to surface. The idea of “AI delegates” mirrors broader conversations about accountability and consent in automated decision-making. A number of projects have spotlighted the potential for AI to digest vast policy options, present them succinctly, and enable members to approve or customize how their tokens are used. The emerging consensus suggests that any path forward will require a layered approach: accessible information for all participants, privacy-preserving mechanisms for sensitive data, and safeguards against both technical and social vulnerabilities.

Readers can trace the thread of these ideas through related discussions on how governance models adapt to AI. For example, articles exploring the role of LLMs in decentralized decision-making and the implications for privacy and security provide a framework for evaluating new proposals as they emerge. The debate also intersects with broader AI governance conversations, including how to ensure that automated agents align with user intent without overstepping privacy boundaries or enabling unauthorized manipulation. The evolving dialogue recognizes that while AI can amplify participation, it should do so without eroding trust or undermining the democratic ethos at the heart of decentralized networks.

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What to watch next

  • Public pilots of AI-assisted voting or AI delegates in active DAOs, with timelines and governance metrics published in the coming quarters.
  • Regulatory developments or guidelines affecting on-chain governance, including transparency and privacy standards for AI-assisted decision tools.
  • Progress reports from the Near Foundation on AI delegates and related governance experiments, including measurable effects on participation rates.
  • Technical demonstrations of privacy-preserving voting mechanisms, such as private LLMs or cryptographic approaches that protect input data while exposing voting outcomes.
  • Ongoing analyses of governance security, including modifications to prevent governance attacks and ensure resilience against token-weighted manipulation.

Sources & verification

AI governance and the next frontier for on-chain democracy

In the Ethereum (CRYPTO: ETH) ecosystem, researchers and builders are weighing how artificial intelligence could address the attention problem that Buterin highlighted. In a recent meditation on governance, he argued that the effectiveness of democratic and decentralized models hinges on broad participation and timely, expert input. Current participation rates for many DAOs hover around 15–25%, a level that can concentrate power among a small circle of delegates or core members. When the electorate stays largely silent, proposals with strategic misalignment can slip through, or worse, governance attacks can overwhelm a network by capitalizing on token-weighted voting power.

To counter these dynamics, the idea of AI-powered assistants that vote on behalf of members has gained traction. He suggested that large language models could surface relevant data and distill policy options for each decision, allowing users to consent to votes or to delegate tasks to an agent that reflects their preferences. The concept hinges on personal agents that observe your writing and conversation history to infer your voting posture, then submit a stream of votes accordingly. If the agent is uncertain, the agent should prompt you directly and present all relevant context to inform your decision. The vision is not to replace human judgment but to augment it with scalable, personalized insights.

The debate closely mirrors ongoing experiments beyond Ethereum. Lane Rettig of the Near Foundation has described AI-powered digital twins that vote on behalf of DAO members as a response to low turnout, a concept the foundation has explored in public discourse and research coverage. Such prototypes aim to maintain governance legitimacy while lowering the friction barrier for participation. The discourse reflects a broader industry consensus that AI-driven governance must be transparent, auditable, and privacy-preserving to gain wide trust across diverse communities.

Privacy considerations are not merely a secondary concern; they are central to any viable governance augmentation. Buterin has stressed the possibility of a privacy-forward architecture where a user’s private data could be processed by a personal LLM without exposing inputs to others. In this scenario, the agent would output only the final judgment, keeping private documents, conversations, and deliberations confidential. The challenge is to design systems that scale participation without compromising sensitive information or opening new vectors for surveillance or exploitation. The balance between openness and privacy will likely shape the tempo and nature of AI-assisted governance experiments across networks and ecosystems.

As the field evolves, several threads warrant close attention. First, concrete pilot programs will reveal whether AI delegates can meaningfully improve turnout and decision quality without eroding accountability. Second, governance models will need robust safety rails to prevent automated voting from overriding collective will through manipulation or covert data leaks. Third, privacy-preserving technologies will be essential to sustain user trust, especially in negotiations or funding decisions that could affect project trajectories. Finally, the ecosystem will watch the practical implications for security and resilience, including the potential for new forms of governance attacks and protective measures against them.

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Ethereum Risks Dip Below $1.5K as Vitalik Buterin Sells ETH Faster

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Crypto Breaking News

Ethereum’s Ether (CRYPTO: ETH) is facing a pivotal moment as it tests the $1,500 psychological level, with technical patterns suggesting a potential continuation to the downside. A bear pennant breakdown has emerged, supported by rising volume and a shift in risk sentiment that has weighed on the broader crypto market. Monday’s session saw ETH slide sharply, dipping to around $1,850 amid nerves around tariffs and macro headwinds. If the breakdown persists, traders expect the price to retrace toward $1,475 by late February or early March, aligning with the measured move implied by the pattern. Bulls will need to reclaim key support to alter the trajectory.

Key takeaways

  • Ethereum is in the breakdown phase of a bear pennant, signaling potential further weakness.
  • The chart-based downside target sits near $1,475, likely by late February or early March if current dynamics hold.
  • The move was accompanied by rising volumes, indicating conviction behind the breakout from the pennant’s lower boundary.
  • Vitalik Buterin’s ongoing ETH sales plans add a supply-side headwind, with roughly 9,000 ETH sold since early February and a 3,500 ETH withdrawal from Aave noted on-chain.
  • February’s ETH price decline of about 18.5% aligns with the distribution activity cited in on-chain trackers.
  • Historically, founder-led transfers have coincided with pronounced price moves, underscoring the potential impact of large.

Tickers mentioned: $ETH

Sentiment: Bearish

Price impact: Negative. The breakdown美元 appears to be extending ETH’s downside trajectory and testing key support at $1,500.

Market context: The current wave sits within a broader crypto risk-off environment, where de-risking and macro headwinds shape near-term price action and liquidity across altcoins.

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Market context: The move sits within a broader de-risking mood across crypto markets, where macro volatility and on-chain activity around founder distributions shape near-term price dynamics.

Why it matters

The technical setup around ETH points to a larger narrative about how chart patterns interact with market psychology and on-chain flows. A breach of the pennant’s lower boundary, when accompanied by higher volume, often signals that selling pressure is prevailing and could lead to a measured move down to the pennant’s projected target. If ETH cannot defend the $1,500 zone, traders may push the road map toward $1,475, a level that marks a critical psychological barrier as well as a liquidity threshold for a number of market participants.

Beyond chart mechanics, the ongoing cadence of founder-led distributions adds another layer of complexity. Vitalik Buterin’s reported plan to liquidate significant ETH holdings to fund ecosystem work has become a recurring talking point for traders, especially when paired with on-chain data showing sizable sales. While these transfers do not guarantee price outcomes, they contribute to a sense of overhang that can amplify negative sentiment during drawdowns. Historical episodes—such as the May 2021 transfers of tens of thousands of ETH before previous downturns, and the November 2021 move to Kraken that preceded a period of price cooling—highlight how large, scheduled liquidations can sway market mood even when overall fundamentals remain intact.

The intersecting pressures—technical breakdowns, on-chain supply dynamics, and macro risk-off tendencies—mean the market will likely hinge on the next few price ticks. For ETH holders, the key question is whether buyers re-emerge to defend the $1,500 floor and force a reversal, or if sellers maintain zone control and push toward the lower pennant target. The presence of a nearby 20-day exponential moving average around $2,085 also gives bulls a potential benchmark to reclaim should a relief rally materialize, potentially invalidating the bearish scenario if crossed with momentum.

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For additional context on chart patterns and the potential for sub-$2,000 ETH scenarios, readers can review related analysis that outlines classic patterns suggesting more downside risk for ETH in the near term.

The broader market backdrop remains intricate. A sustained risk-off environment can amplify the impact of on-chain activity like founder sales, while a shift in macro rhetoric or renewed appetite for risk could flip sentiment and alter the short-term trajectory for ETH and other major altcoins. As traders weigh these factors, the next few weeks will be pivotal in determining whether the price stabilizes above critical supports or tests lower targets outlined by the pennant framework.

What to watch next

  • Observe ETH price action when approaching $1,500: does it hold as support or break lower?
  • Monitor any further ETH distributions from Kanro and related wallets, and whether remaining holdings (~7,350 ETH) are scheduled for sale.
  • Track on-chain activity from Arkham Intelligence and Lookonchain for changes in sell tempo and new large transfers.
  • Watch the price reaction relative to the 20-day EMA near $2,085 as a potential bullish trigger if crossed with volume.
  • Assess broader macro signals and ETF/derivative flows that could influence risk sentiment in the coming weeks.

Sources & verification

  • Vitalik Buterin’s Jan. 30 statement about selling 16,384 ETH via Kanro to fund ecosystem work.
  • Arkham Intelligence on-chain tracking of approximately 9,000 ETH sold since early February and a 3,500 ETH withdrawal from Aave.
  • Lookonchain commentary noting accelerated ETH sales in February.
  • Historical references to May 2021 and Nov. 2021 large ETH transfers and subsequent price movements.
  • Related analysis: Ethereum price chart patterns indicating sub-$2K scenarios.

ETH bears eyes sub-$1,500 test as pennant breakdown deepens

Ethereum’s Ether (CRYPTO: ETH) remains in focus as the coin tests a critical support band near $1,500, with a bear pennant breakdown shaping the near-term risk-reward. A fresh wave of selling pressure emerged after the price slipped to around $1,850 amid tariff-related jitters and a broader de-risking environment. The breakdown has been underscored by rising trading volumes, suggesting that market participants are stepping in with conviction behind the move. The immediate downside target—derived from the pennant’s height—points toward roughly $1,475 by late February or early March, a level that also aligns with the psychological trap of the $1,500 mark.

For bulls, the key denominator is not just the price but the dynamics of support and momentum. Reclaiming the pennant’s lower boundary would be a first sign of stability, but a sustained rally above the 20-day exponential moving average, currently near $2,085, would be required to invalidate the bearish outlook. Until such a reversal pattern emerges, the market faces a test of the lower bound, with the pattern’s traditional objective offering a plausible path toward a deeper correction.

On-chain developments have amplified the narrative. Vitalik Buterin has signaled ongoing ETH liquidations to support long-term ecosystem initiatives, with 16,384 ETH slated for withdrawal via Kanro as part of a broader “mild austerity” posture by the Ethereum Foundation. Independent trackers have observed ongoing distributions—roughly 9,000 ETH sold since early February and a notable 3,500 ETH withdrawal from Aave—raising questions about the role of founder-level supply in the current price action. The market should not ignore these signals, especially given the historical context where large, founder-controlled transfers have coincided with meaningful price moves.

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Beyond the mechanics of the price chart and on-chain activity, investors should consider the broader ecosystem implications. If ETH continues to see elevated selling from founder addresses, there could be a persistent overhang that slows upside attempts and makes any rebound more fragile. Conversely, any signs of demand returning—whether from improved macro sentiment, higher risk appetite, or supportive on-chain activity—could reawaken buyers and target the key resistance around $2,000 and beyond. The next few weeks will be decisive in determining whether the bears maintain control or a stabilization forms that could reframe Ethereum’s path in the near term.

Related: Ethereum price: Classic chart pattern puts sub-$2K ETH in focus

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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Michael Saylor hints at Strategy’s 100th Bitcoin buy as BTC price sinks

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Strategy Bitcoin purchase tracker.

Strategy founder Micahel Saylor has hinted that the firm may be set to execute its 100th Bitcoin purchase as the flagship crypto continues to sink.

Summary

  • Michael Saylor’s “The Orange Century” post signals a potential 100th Bitcoin purchase as Strategy’s total holdings reach 717,131 BTC.
  • Bitcoin remains nearly 48% below its $126,080 peak.
  • Strategy has continued buying for 12 straight weeks, funded by debt and equity financing.

Saylor shared a cryptic X post on Sunday with the caption “The Orange Century” alongside a screenshot from StrategyTracker, which lists all the previous purchases the company has executed since it began buying Bitcoin in August 2020.

Strategy Bitcoin purchase tracker.
Strategy Bitcoin purchase tracker | Source: x/saylor

Markets largely view such posts from Saylor as a signal that the company is preparing to announce another Bitcoin purchase, as has been the case on multiple occasions in the past.

To date, Strategy has acquired 717,131 BTC at an average price of $76,027 across 99 Bitcoin purchases, which means it is now gearing up for what would mark its 100th acquisition.

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Strategy has continued buying Bitcoin over the past six years, even during periods of extreme volatility. The company views Bitcoin as a long-term inflation hedge and store of value, and Saylor remains characteristically undeterred, continuing to double down on his maximalist conviction despite the latest drawdowns.

Strategy has consistently acquired Bitcoin over the past 12 weeks.

Bitcoin price is down nearly 48% from its all time high of $126,080, but despite the challenging market conditions, Strategy has relied on a complex array of financial maneuvers, including convertible debt and equity offerings, to fund its ongoing Bitcoin accumulation strategy.

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Strategy shares, in the meantime, have tested investor conviction and are down over 61% over the past six months. However, it was up nearly 950% since its first purchase buy according to data from Google Finance.

The company’s aggressive Bitcoin treasury model has even sparked concerns that it may face refinancing pressure if Bitcoin price weakness persists. But Saylor has assured investors that the firm could withstand a drawdown to $8,000 per coin without jeopardizing its balance sheet, arguing that Strategy’s leverage remains manageable relative to the size of its Bitcoin holdings.

At press time, Strategy’s total holdings are valued at over $47 billion based on current prices, with paper losses of 13.62%.

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Strategy for Regulated UAE Market

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Strategy for Regulated UAE Market

The United Arab Emirates has established one of the most defined regulatory frameworks for crypto exchanges. Dubai’s Virtual Assets Regulatory Authority issues licenses, while Abu Dhabi’s Financial Services Regulatory Authority regulates platforms operating in the Abu Dhabi Global Market. The clarity has drawn international platforms seeking formal authorization rather than operating in regulatory gray zones.

Just last week, on February 12, 2026, perpetuals-focused trading platform Flipster joined the growing list, securing in-principle approval from VARA through its local entity, Flipster FZE. It’s the first big regulatory green light for the exchange in the UAE, paving the way for regulated spot trading to start with more products likely to follow once full licensing clears.

BeInCrypto spoke with Benjamin Grolimund, General Manager at Flipster FZE, to dig into the decision: why the UAE became Flipster’s debut regulated market, the internal efforts undertaken to strengthen compliance standards, and what this says about where the competitive landscape for exchanges is heading in 2026.

Building Within a Defined Framework

Securing in-principle approval signals Flipster’s commitment to building a long-term presence in the UAE, according to Grolimund. Indeed, the UAE’s regulatory clarity was central to the decision. 

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Grolimund sees that rather than responding to crypto reactively, Dubai established a dedicated supervisory authority with defined expectations for operators. He told BeInCrypto:

“The UAE combines regulatory clarity with economic ambition. That clarity matters. Regulatory predictability is a competitive advantage, particularly for an exchange planning long-term expansion.”

Geography also factored into the equation. The UAE connects major financial centers across Asia and Europe, offering exchanges a regulated base from which to serve multiple markets. For a platform expanding beyond one region, that positioning carries operational advantages.

Grolimund added:

“There is also a long-term orientation to how digital infrastructure is being built in the Middle East. Digital assets are part of broader economic diversification efforts, not treated as a passing cycle. That environment supports sustainable growth rather than volatility-driven expansion.”

Institutionalizing Readiness

Progressing from in-principle approval toward full authorization required operational discipline beyond product expansion.

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Preparing for supervised activity in the UAE meant formalizing governance structures, refining risk assessment methodologies, and clarifying reporting lines aligned with VARA’s expectations. Monitoring systems were enhanced, onboarding controls strengthened, and accountability mapped across product, engineering, legal, and compliance teams.

“Growth under supervision demands clarity of accountability,” Grolimund said.

In his view, operating in the UAE required embedding regulatory alignment into core processes rather than treating compliance as an external layer. Accountability structures were clarified, risk controls strengthened, and reporting frameworks aligned early in the process.

Flipster has also established a physical presence in Dubai, relocating talent from global offices and hiring locally. The license, he emphasized, is not being treated as a convenience structure.

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“Some companies treat licensing as an expansion milestone. We see it as the starting point of building something durable.”

Performance Under Supervision

The in-principle approval allows Flipster FZE to move toward spot trading as its initial licensed activity in the UAE. As regulatory licensing becomes standard among global exchanges, the distinction increasingly lies in how platforms operate once supervision begins.

Flipster built its infrastructure for active traders, prioritizing deep liquidity and efficient execution across perpetual futures markets. Grolimund said entering a regulated jurisdiction does not change that foundation. It raises the standards around it.

“Entering a regulated market does not change our focus on performance,” he said. “It challenges us to maintain speed and product sharpness while operating with stronger governance.”

Rather than treating compliance as a separate layer, he described the objective as integrating governance into the operating core. Matching engines, liquidity systems, and risk controls must function within clearly defined escalation pathways and reporting structures.

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“Speed without structure does not last,” Grolimund affirmed.

From Cycles to Structure

Looking at the larger picture, Grolimund said the UAE is expected to serve as a foundational regulated market within Flipster’s broader expansion strategy over the next several years. The immediate priority is progressing from in-principle approval to full authorization and sustaining operations under VARA’s oversight.

The move reflects a broader recalibration across the exchange sector. As structured regulatory regimes expand, licensing is becoming a baseline requirement rather than a differentiator. The distinction may lie in whether platforms can sustain liquidity and execution quality while operating under supervision.

“Our investment in the UAE reflects how we intend to approach every market we enter,” Grolimund said.

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Whale Liquidated for $61.5 Million as Bitcoin Tumbled to New Lows

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Cryptocurrency Liquidations Daily. Source: CoinGlass


Machi Big Brother was also partially wrecked as ETH’s price dropped by $200.

It was another sharp drop for bitcoin earlier this morning when the asset plunged to its lowest level in over two weeks at under $64,500.

Given the extent and speed of the crash, the total value of wrecked positions skyrocketed within hours to almost $500 million. Within this timeframe, almost 140,000 traders were wrecked, according to data from CoinGlass. However, one case in particular raised a few eyebrows.

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An unknown whale was wrecked for $61.51 million in the past day during BTC’s painful drop. The liquidation took place on HTX and involved the BTC/USDT trading pair.

Cryptocurrency Liquidations Daily. Source: CoinGlass
Cryptocurrency Liquidations Daily. Source: CoinGlass

Another whale that was hit during the dip was Machi Big Brother – the Taiwanese-American entrepreneur and former musician, whose real name is Jeffrey Huang.

Data from Lookonchain shows that he was partially liquidated on his ETH position. CryptoPotato reported a few days ago that his entire crypto portfolio had fallen below $1 million, posting a loss of around $28 million.

Although that amount has risen to over $28.8 million following the latest liquidation, he continues to build on his Ethereum longs, now holding 1,700 tokens, worth $3.2 million.

ETH’s price was rejected at $2,000 over the weekend and plunged to $1,850 for the first time since the February 6 crash, when it bottomed at $1,750.

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Ethereum Price May Slip Below $1.5K as Buterin Keeps Selling ETH

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Ethereum Price May Slip Below $1.5K as Buterin Keeps Selling ETH

Ethereum’s native token, Ether (ETH), is on track to test and potentially break the $1,500 support level in the coming days.

Key takeaways:

  • Ethereum has entered the breakdown phase of its prevailing bearish continuation pattern.

  • ETH price may decline below $1,500 by early March amid founder-led selling.

ETH bear pennant breakdown targets $1,475

On Monday, ETH’s price dropped by more than 5.60% to about $1,850 amid a broader de-risking sentiment led by nervousness surrounding tariffs.

In doing so, the biggest altcoin broke below the lower trendline of its prevailing bear pennant pattern, with rising volumes indicating traders’ conviction behind the breakdown move.

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Edit the caption here or remove the text

A bear pennant breakdown typically resolves when the price falls by as much as the previous downtrend’s height.

Applying the same principle to ETH’s charts would bring its downside target to $1,475, close to the psychological support level of $1,500, by the end of February or early March.

Related: Ethereum price: Classic chart pattern puts sub-$2K ETH in focus

The bulls must therefore reclaim the pennant’s lower trendline as support, followed by a continued rally above the 20-day exponential moving average (20-day EMA, the green line) at $2,085, which may invalidate the bearish outlook.

Vitalik Buterin will likely sell more ETH soon

Ethereum co-founder Vitalik Buterin’s planned ETH sales have not helped the bulls regain their footing in February.

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On Jan. 30, Buterin said he would withdraw and sell 16,384 ETH via his Kanro entity to fund ecosystem work, open-source software and other long-term initiatives during an Ethereum Foundation “mild austerity” phase.

Since early February, onchain tracker Arkham Intelligence has flagged about 9,000 ETH sold in batches, with the pace picking up again over the past 48 hours after a 3,500 ETH withdrawal from Aave.

Vitalik Buterin “is selling ETH faster again,” said onchain monitoring resource, Lookonchain, on Monday.

Source: X

Ethereum’s price has dropped 18.55% so far in February, aligning with Buterin’s ETH distribution. The overhang could grow if he liquidates the remaining ~7,350 ETH.

History shows how founder-linked supply, including Ethereum Foundation treasury transfers, can amplify bearish sentiment among traders.

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For instance, the May 2021 35,000 ETH transfers (about $125 million at that time) preceded a 50% ETH price drop within weeks.

Later, the foundation transferred another 20,000 ETH ($95 million) to Kraken on Nov. 11, 2021, a move that, in hindsight, coincided with Ether’s price peaking near $4,700 before the next leg lower.

Such conditions further increase ETH’s odds of hitting its pennant target below $1,500 in the coming days.