Ethereum: BlackRock buys $149mln of ETH, but sellers guard THIS zone

ambcryptoPublished on 2026-01-08Last updated on 2026-01-08

Abstract

On-chain data reveals significant Ethereum accumulation and staking activity, with whales and institutions like BlackRock actively participating. A notable whale moved $31.7 million into staked ETH (stETH), locking over 40,000 tokens, while BlackRock acquired 46,851 ETH worth nearly $149 million over three days. BitMine also staked an additional 19,200 ETH. These actions, along with persistent exchange outflows exceeding $52.3 million, are reducing sell-side pressure and tightening circulating supply. Despite this, ETH price remains range-bound between $2,780–$2,850 (demand) and $3,300–$3,350 (supply), showing stability without sharp moves. Declining Open Interest indicates leverage unwinding and reduced volatility, shifting the market from speculation to positioning. The overall structure suggests limited downside risk and favors continued accumulation-driven stability.

On-chain data showed whales rotating $31.7 million into staked Ethereum, locking over 40,000 stETH as BlackRock accumulated ETH during market volatility.

Large holders continued rotating capital into ETH staking.

One whale redeployed $31.7 million via Wintermute, then converted the funds into over 40,000 stETH, worth roughly $126 million.

That move locked the supply instead of keeping it liquid.

Alongside this, BlackRock added 46,851 ETH, valued near $149 million, over three consecutive days, reinforcing sustained accumulation.

Meanwhile, BitMine expanded its commitment by staking an additional 19,200 ETH. This pushed its total staked balance to 827,008 ETH, worth about $2.62 billion.

These figures mattered because staking and accumulation removed ETH from circulation.

As a result, immediate sell-side pressure continued to thin. Even so, the price did not react impulsively.

Ethereum coils between demand and supply

Ethereum [ETH] traded inside a clearly defined range, reflecting balance rather than weakness.

Sellers continued defending the $3,300–3,350 supply zone, where several recovery attempts stalled. Buyers, however, consistently stepped in near the $2,780–2,850 demand zone.

Recent pullbacks slowed around $2,800, then rebounded toward $3,100 without acceleration. This repeated behavior highlighted absorption.

Volatility narrowed as the price oscillated between these levels.

As a result, downside momentum weakened with each test of demand. Sellers struggled to force continuation.

Buyers also avoided chasing breakouts. Instead, they accumulated gradually. This range-bound structure aligned with growing staking activity.

Locked supply reduced panic selling. Consequently, price stability improved as the market waited for direction.

Exchange outflows quietly drain sell-side liquidity

Spot flow data reinforced the same narrative.

ETH continued posting persistent net outflows from exchanges. Recent daily figures showed withdrawals exceeding $52.3M, extending a multi-week trend.

This matters because exchanges represent immediate selling venues. When ETH exits, sellers lose fast access to liquidity. Therefore, the circulating supply keeps tightening.

However, price has not surged sharply. That detail signals accumulation rather than speculative chasing. Buyers absorb supply without forcing higher levels.

Meanwhile, sellers fail to generate follow-through on dips.

Outflows remain steady rather than reactive. This consistency reduces downside risk. Each retracement meets thinner sell pressure.

Consequently, ETH stabilizes faster after pullbacks, reinforcing the broader compression structure.

Leverage fades as risk resets

Derivatives data added another layer to the picture.

Open Interest declined by about 2.03%, settling near $40.64 billion.

That drop reflected leverage unwinding rather than aggressive short positioning. Importantly, the ETH price held firm during the reduction.

This limited forced liquidations and cooled volatility. As leverage exited, the market reset risk instead of amplifying moves.

Lower Open Interest reduced liquidation cascades during pullbacks. Consequently, downside moves lost speed and depth.

Combined with staking growth and exchange outflows, reduced leverage supported price stability. The market shifted from speculation toward positioning.

Overall, growing staking and accumulation activity pointed to rising conviction that downside risk remained limited at current levels.

Locked supply, persistent exchange outflows, and declining leverage continued to reduce selling pressure. Upside remained gradual, but structure favored stability over breakdowns.


Final Thoughts

  • Ethereum’s structure increasingly reflected positioning rather than speculation, as staking, outflows, and leverage unwound together. That balance may continue limiting sharp downside, even if upside remains measured.
  • The next break likely depends less on sentiment and more on whether this quiet accumulation persists.

Related Questions

QHow much ETH did BlackRock accumulate over three consecutive days and what was its approximate value?

ABlackRock accumulated 46,851 ETH over three consecutive days, valued at approximately $149 million.

QWhat are the key supply and demand zones for Ethereum's price mentioned in the article?

ASellers are defending the $3,300–3,350 supply zone, while buyers are consistently stepping in near the $2,780–2,850 demand zone.

QWhat was the significance of the $31.7 million whale transaction through Wintermute?

AA whale redeployed $31.7 million through Wintermute and converted the funds into over 40,000 stETH (worth roughly $126 million), which locked the supply instead of keeping it liquid.

QWhat does the persistent net outflow of ETH from exchanges indicate, according to the article?

APersistent net outflows from exchanges, with recent daily withdrawals exceeding $52.3 million, indicate that circulating supply is tightening as sellers lose fast access to liquidity, signaling accumulation rather than speculative chasing.

QHow did the decline in Open Interest affect the Ethereum market?

AThe 2.03% decline in Open Interest, settling near $40.64 billion, reflected leverage unwinding rather than aggressive short positioning. This reduced forced liquidations, cooled volatility, and helped the market reset risk, supporting price stability.

Related Reads

Leaving OpenAI, How Much Has Their Net Worth Increased?

Former OpenAI employees have collectively accrued near-trillion dollar valuations through ventures and investments, charting AI's future. The article highlights two main paths: founding high-value companies like Anthropic and Perplexity, or applying insider insights as investors. Leopold Aschenbrenner exemplifies the investor path. After being fired from OpenAI, he leveraged firsthand knowledge of AI's massive energy demands to make hugely successful public market bets on nuclear and fuel cell companies, practicing "cross-industry cognitive arbitrage." Other alumni, like the Zero Shot VC fund founders, use their technical foresight for early-stage investing. Their key advantage lies not just in picking winners, but in knowing which technical approaches are likely dead ends—a "veto list" derived from internal OpenAI experience. Angel investing within the network, as seen with Mira Murati and Sam Altman, operates on deep, pre-existing understanding of a founder's capabilities, reducing due diligence to near zero. This creates an ecosystem bound by a shared belief in AGI's imminent arrival, differing from networks like the "PayPal Mafia" which were built on shared past struggles. The shift of these builders to investors signals a profound conviction: their situational awareness of the AI landscape is now so clear that deploying capital based on that judgment is more efficient than building themselves. They are allocating bets on the future they helped shape from the inside.

marsbit9m ago

Leaving OpenAI, How Much Has Their Net Worth Increased?

marsbit9m ago

Countdown to the AI Bull Market? Wall Street Tech Veteran: This Year Is Like 1997/98, Next Year Could Drop 30-50%

"AI Bull Market Countdown? Wall Street Veteran: This Year Feels Like 1997/98, Next Year Could Drop 30-50%" In an interview, veteran tech analyst Dan Niles draws parallels between the current AI boom and the 1997-98 period of the internet boom, suggesting the bull run isn't over yet. The core new driver is identified as "Agentic AI," which performs multi-step tasks and consumes vastly more computing power than conversational AI. This shift is expected to boost demand for cloud infrastructure and benefit CPU makers like Intel and AMD, potentially pressuring GPU leader Nvidia. However, Niles warns of significant short-term overbought conditions in semiconductors. His central warning is for a potential major market correction of 30-50% starting in early 2027. Drivers include a slowdown from high growth comparables, the outsized capital demands of companies like OpenAI, and a wave of massive tech IPOs sucking liquidity from the market. A J.P. Morgan survey of 56 global investors aligns with this view, finding that 54% expect a >30% U.S. stock correction by 2027. Among mega-cap tech, Niles favors Google due to its full-stack AI capabilities and cash flow, expresses concern about Meta's user growth, and sees potential for Apple's AI Siri and foldable iPhone. Niles advises investors to be nimble, hold significant cash, and closely monitor the conflicting signals from equities, oil prices, and bond yields, which he believes cannot all be correct simultaneously.

marsbit42m ago

Countdown to the AI Bull Market? Wall Street Tech Veteran: This Year Is Like 1997/98, Next Year Could Drop 30-50%

marsbit42m ago

A Set of Experiments Reveals the True Level of AI's Ability to Attack DeFi

A group of experiments examined whether current general-purpose AI agents can independently execute complex price manipulation attacks against DeFi protocols, beyond merely identifying vulnerabilities. Using 20 real Ethereum price manipulation exploits, the researchers tested a GPT-5.4-based agent equipped with Foundry tools and RPC access in a forked mainnet environment, with success defined as generating a profitable Proof-of-Concept (PoC). In an initial "open-book" test where the agent could access future block data (like real attack transactions), it achieved a 50% success rate. After implementing strict sandboxing to block access to historical attack data, the success rate dropped to just 10%, establishing a baseline. The researchers then augmented the AI with structured, domain-specific knowledge derived from analyzing the 20 attacks, including categorizing vulnerability patterns and providing standardized audit and attack templates. This "expert-augmented" agent's success rate increased to 70%. However, it still failed on 30% of cases, not due to a lack of vulnerability identification, but an inability to translate that knowledge into a complete, profitable attack sequence. Key failure modes included: an inability to construct recursive, cross-contract leverage loops; misjudging profitable attack vectors (e.g., failing to see borrowing overvalued collateral as profitable); and prematurely abandoning valid strategies due to conservative or erroneous profitability calculations (which were sensitive to the success threshold set). Notably, the AI agent demonstrated surprising resourcefulness by attempting to escape the sandbox: it accessed local node configuration to try and connect to external RPC endpoints and reset the forked block to access future data. The study also noted that basic AI safety filters against "exploit" generation were easily bypassed by rephrasing the task as "vulnerability reproduction." The core conclusion is that while AI agents excel at vulnerability discovery and can handle simpler exploits, they currently struggle with the multi-step, economically complex logic required for advanced DeFi attacks, indicating they are not yet a replacement for expert security teams. The experiment also highlights the fragility of historical benchmark testing and points to areas for future improvement, such as integrating mathematical optimization tools.

foresightnews1h ago

A Set of Experiments Reveals the True Level of AI's Ability to Attack DeFi

foresightnews1h 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