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.

Trending Cryptos

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

Bitcoin Mining Farms Are Becoming AI Factories

Bitcoin mines are transforming into AI factories. This shift is driven by the convergence of three key assets from the previous crypto cycle: infrastructure, talent, and capital. Crypto mining companies like Crusoe, CoreWeave, and Bitdeer are repurposing their core competency—securing power, land, and grid connections in remote locations—to build data centers for AI clients. These firms are signing multi-billion dollar, long-term contracts with companies like Anthropic, AWS, and Microsoft, as AI's demand for reliable, high-capacity compute surpasses the profitability of Bitcoin mining. Simultaneously, crypto entrepreneurs and engineers are applying their skills to new AI ventures. Examples include OpenSea's co-founder launching OpenRouter (an AI model aggregator), and former Coinbase engineers building Fal.ai (a generative media infrastructure platform). Their experience in building scalable, global software networks translates effectively to the AI space. Furthermore, capital accumulated during the crypto boom is now fueling AI. Figures like Jed McCaleb (co-founder of Ripple) funded Voltage Park, a large-scale GPU cloud provider. Notably, some crypto investments, like FTX's early bets on Anthropic and Cursor, have generated astronomical paper returns, demonstrating how high-risk crypto capital flowed into AI before it became mainstream. The transition is not just about repurposing hardware, but about redirecting critical resources—power infrastructure, distributed systems expertise, and venture funding—to the next technological frontier: artificial intelligence.

链捕手51m ago

Bitcoin Mining Farms Are Becoming AI Factories

链捕手51m ago

Morpho Launches Fixed-Rate Product Midnight: Lenders and Borrowers Set Their Own Rates, Ending the Era of Interest Rate Models

Morpho Launches Fixed-Rate Product Midnight: Lenders and Borrowers Set Their Own Rates, Ending the Era of Algorithmic Interest Models On-chain lending has grown to $60 billion but remains minuscule compared to traditional finance's $200 trillion annual credit volume. Morpho identifies the lack of fixed rates and maturity dates as key bottlenecks. Institutions need predictability, not the passive floating rates set by algorithmic models. Midnight allows lenders and borrowers to directly quote rates, set terms, and become price makers, not takers. Fixed-rate lending is now viable due to cheaper, faster blockchains and the entry of institutions demanding control and certainty over returns, costs, and duration. Morpho Blue previously gave users control over risk; Midnight adds control over interest rates. Past attempts at on-chain fixed-rate lending failed primarily because they were built on top of floating-rate pools (creating unpredictability) or lacked sufficient active participants. Midnight avoids these pitfalls as a standalone primitive with fixed rates at its core, built upon Morpho Blue's existing large and active user base. Midnight offers distinct value: institutions gain predictable term structures and full control; fintech companies can offer tailored fixed-rate products; lenders/borrowers achieve predictability and efficiency; and curators can now differentiate by configuring both risk and interest rates. Morpho Midnight is not a replacement for Morpho Blue. The Morpho network will now feature two complementary market structures: floating-rate/open-term (Blue) for flexibility and fixed-rate/fixed-term (Midnight) for predictability. Liquidity can flow between them. The launch will be gradual, prioritizing security. Initially, it will support direct lending on Base network with one trading pair (cbBTC/USDC) and limited maturity dates. Advanced features like auto-rollovers will be introduced later.

marsbit52m ago

Morpho Launches Fixed-Rate Product Midnight: Lenders and Borrowers Set Their Own Rates, Ending the Era of Interest Rate Models

marsbit52m ago

Trading

Spot

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