Ethereum: Will $43M ETH whale move test THIS danger zone?

ambcryptoPublished on 2026-01-16Last updated on 2026-01-16

Whales are known to sell at market tops and bottoms, but it’s how markets react that truly shapes price action.

On the 16th of January, Ethereum [ETH] faced selling pressure from large whales, with the price testing key resistance levels around $3,450.

Whale activity created turbulence, and the market awaited whether ETH could break through resistance or retreat toward support.

OG whale dumps 13,083 ETH

On‐chain tracker Lookonchain reported that Ethereum OG 0xB3E8 deposited 13,083 ETH (worth $43.35 million) into Gemini over the past two days, signaling a potential market shift.

Despite the large withdrawal, he still holds 34,616 ETH ($115M), showing confidence in Ethereum’s long-term prospects.

This move was seen by some as a classic profit-taking strategy, suggesting no intention of abandoning Ethereum for the long run.

Analyzing an 18,261 ETH short position

Another whale took a highly leveraged short position, betting against Ethereum. This whale deposited 3 million USDC into Hyperliquid and shorted 18,261 ETH ($60.32M).

If ETH had climbed to $3,380, the position could have been completely wiped out. This high‐risk move added significant pressure around the $3,400 level.

Liquidity clusters build around $3.4K

Ethereum’s price action was also influenced by liquidity clusters forming around the $3,400 mark.

These liquidity zones act as magnets during reversals, with traders closely watching to see if Ethereum could break the $3,450 resistance or retreat to lower support levels.

Any movement past this point could trigger large liquidations, shifting the market significantly.

What’s next for ETH?

Ethereum was testing the crucial $3,450 resistance. The next few hours were critical in determining whether ETH could break through or fall back toward support at $3,200.

Whale activity and liquidity pressure would heavily influence the outcome.


Final Thoughts

  • Whale activity created significant selling pressure near Ethereum’s $3,450 resistance, influencing key market reactions.
  • The market’s response to liquidity clusters and leveraged positions determined whether ETH could break through or retreat to support.

Related Questions

QWhat significant action did the Ethereum OG whale take on January 16th, and what was the value?

AThe Ethereum OG whale deposited 13,083 ETH, worth $43.35 million, into the Gemini exchange.

QDespite the large deposit, what does the whale's remaining ETH holding indicate?

AThe whale still holds 34,616 ETH, worth $115 million, which shows confidence in Ethereum's long-term prospects.

QWhat was the potential risk for the whale that took a highly leveraged short position of 18,261 ETH?

AIf the price of ETH had climbed to $3,380, the entire short position could have been liquidated and wiped out.

QWhy was the $3,400 price level significant for Ethereum's price action?

ASignificant liquidity clusters had formed around the $3,400 mark, making it a key level that could act as a magnet during price reversals and trigger large liquidations.

QWhat were the two possible price outcomes for ETH mentioned in the article, based on the resistance level?

AEthereum could either break through the $3,450 resistance level or fall back toward the $3,200 support level.

Related Reads

AAOI Defies Trend with Over 10% Surge, 'New Stock God' Serenity Predicts Potential to Double Again

On June 4th, despite a significant sell-off in the broader AI and semiconductor sector triggered by Broadcom's disappointing guidance, Applied Optoelectronics (AAOI) surged over 11%, showcasing a sharp divergence in market sentiment. Broadcom's warning about potential supply chain diversification by key customer Google and a weaker-than-expected outlook punctured the high-flying AI valuation narrative. This led to heavy selling in names like Broadcom (-12.6%) and Micron (-7%), with funds rotating into traditional industrial stocks. AAOI defied this trend. The stock has experienced high volatility recently, driven by bullish analyst coverage, notably from Rosenblatt which raised its price target to $220. Key catalysts include initial 800G optical module revenue from Amazon, potential certification from Oracle, and strong demand across its product portfolio. The company has reported cumulative orders for 800G/1.6T modules exceeding $324 million and is aggressively expanding manufacturing capacity in Texas, targeting an annualized run-rate of $1.4 billion for its module business by Q3 2027. However, AAOI's fundamentals present a mixed picture. Its Q1 2026 results missed expectations, showing a GAAP net loss, and Q2 guidance points to merely breakeven adjusted EPS. Risks include a delayed 800G production ramp to the second half of the year and high dependence on a few key cloud customers. Recent stock sales by company executives near price highs also noted. The article suggests AAOI's rally reflects a market beginning to differentiate within the AI ecosystem. While Broadcom's issues prompted a reassessment of custom ASIC and customer concentration risks, funds flowing into AAOI indicate a belief that the "physical bottleneck" narrative for optical connectivity—where supply remains tight—remains intact and is somewhat decoupled from the current sector weakness. The sustainability of AAOI's premium valuation now hinges on the successful execution of its production plans and upcoming quarterly results.

marsbit4m ago

AAOI Defies Trend with Over 10% Surge, 'New Stock God' Serenity Predicts Potential to Double Again

marsbit4m ago

Worried about AI's Self-Evolution, Anthropic Intends to Stop Training?

In early 2026, Anthropic signaled a significant shift in its public narrative regarding AI development timelines and safety. In June, its Anthropic Institute published a detailed article, "When AI builds itself," presenting internal data suggesting accelerating AI self-improvement. Key figures included over 80% of merged code being written by Claude and a 52x speedup in certain optimization tasks. The article outlined three future scenarios, with the most speculative being full recursive self-improvement (RSI), where AI autonomously builds better successors. Anthropic stated RSI is "possible" and may arrive faster than most institutions are prepared for. This narrative pivot followed a series of strategic moves. In January, CEO Dario Amodei wrote about a powerful self-improvement feedback loop. In February, Anthropic revised its Responsible Scaling Policy, removing a core commitment to pause training if capabilities outstripped safety controls, citing the risk of falling behind competitors. This change coincided with reported pressure from the US Department of Defense. By May, Anthropic's valuation had soared to $965 billion. Anthropic's stance was mirrored by other industry leaders. DeepMind CEO Demis Hassabis adjusted his AGI timeline to "by 2029" and admitted to using provocative language like "foothills of the singularity" to create urgency. OpenAI also released a model claiming a key role in its own creation process. The article's carefully calibrated tone—presenting dramatic data alongside qualifying footnotes—exemplifies a balancing act between signaling technological acceleration and managing commercial, regulatory, and safety imperatives. External experts offered contrasting interpretations of the same data, from warnings of catastrophic risk akin to Chernobyl to skepticism that current automation merely handles "grunt work," not genius. The coordinated narrative shift among top labs highlights the complex interplay between perceived technical inflection points and strategic communication aimed at investors, regulators, and the public.

marsbit6m ago

Worried about AI's Self-Evolution, Anthropic Intends to Stop Training?

marsbit6m ago

The Macroeconomic Underpinnings of Africa's Payment Market Landscape

The African payments market, characterized by the world's highest mobile money penetration and fastest-growing cryptocurrency adoption, is not a coincidence but a macroeconomic necessity driven by deep structural factors. Two key drivers create this landscape: (1) Africa's heavy reliance on commodity exports, trade, and remittances, generating massive cross-border settlement and remittance demand; and (2) chronically underdeveloped financial infrastructure, exacerbated by international bank de-risking, foreign exchange mismanagement, and persistent inflation. This vacuum has allowed mobile money and crypto to thrive. Mobile money platforms replace banks for domestic payments, while cryptocurrencies serve as a store of value against local currency depreciation and a low-cost medium for cross-border exchange. A crucial division lies along the Sahara Desert. North Africa is integrated into the oil-anchored MENA framework, while Sub-Saharan Africa (SSA), plagued by dollar shortages and fragmented currencies, has become a natural, massive market for mobile money and crypto. Nigeria, Kenya, and South Africa are global leaders in adoption. The SSA economy is deeply dollarized due to currency instability, yet suffers from a severe "dollar shortage" caused by trade deficits and limited export capacity. This creates parallel forex markets and high remittance costs. Cryptocurrencies, particularly stablecoins, fill this gap by providing access to dollar liquidity, cheaper cross-border transfers, and an inflation-resistant store of value, primarily driven by retail users for small-value transactions. While regional initiatives like PAPSS aim to reduce dollar dependence, the fundamental constraints of commodity reliance, trade imbalances, and shallow financial markets persist. Therefore, mobile money and cryptocurrencies are not niche trends but essential financial infrastructure filling a structural void, and they are likely to remain central to Africa's economic landscape for the foreseeable future.

链捕手16m ago

The Macroeconomic Underpinnings of Africa's Payment Market Landscape

链捕手16m 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