Whales stack ETH as sellers vanish: Ethereum to $4K, closer than ever?

AmbcryptoPublished on 2025-07-21Last updated on 2026-07-05

Abstract

If this trend continues, the reduction in available ETH could trigger a supply squeeze, a scenario where demand outpaces the limited available supply, potentially fueling further price increases.

Key Takeaways


Whales are making bullish moves, including opening large long positions and transferring assets into private wallets. Depositing addresses have fallen to just 16,000, adding to the upward pressure.

As Ethereum [ETH] edges closer to reclaiming the $4,000 level, investors are placing buy orders on the asset in anticipation of a potential rally.


Whale activity in particular supports this narrative. In fact, a supply squeeze may be near as ETH deposits into exchanges and overall exchange reserves continue to decline.

Whale interest surges in ETH, again!


There has been a notable resurgence in whale activity over the past 24 hours.


Whales—addresses controlling significant liquidity—often influence market direction through their large trades.


One such whale, Aguila Trade, recently closed a short position on ETH after incurring over $8 million in losses and subsequently opened a long position.


According to HyperDash, the new long position is worth more than $128 million, and currently holds an unrealized profit of $631,000 at press time.

ETH inflow and outflow chart.

Source: Lookonchain


Similarly, LookonChain reported that another whale withdrew 13,244 ETH (worth $49.52 million) from the crypto exchange OKX and moved the funds into private wallets.


Such transfers usually signal a long-term bullish outlook, as investors show intent to hold rather than sell in the short term.


Spot and on-chain activity support bullish sentiment


Significant inflows have been recorded in both the spot market and on-chain.


According to CoinGlass’ Spot Exchange Netflow data, investors have resisted back-to-back sell-offs from the previous two days.


These investors have now accumulated over $70 million worth of ETH and moved it into private wallets, underscoring a broader, long-term bullish market sentiment.

Spot exchange netFlow chart.

Source: CoinGlass


Artemis also reports a notable inflow of liquidity from other blockchains into Ethereum.


The Bridge Netflow from external ecosystems reached $4 million, indicating capital rotation into ETH as investors likely anticipate a strong rally.


In fact, activities across exchanges suggests further potential for growth, while signs of an impending supply squeeze continue to build.


Exchange reserves drop as deposits Slow


The amount of ETH held on exchanges has declined significantly. While exchange reserves had increased in previous weeks, they have now resumed a downward trend.

ETH Exchange reserve chart.

Source: CryptoQuant


At the time of writing, ETH availability on exchanges sits at 19.7 million—suggesting that investors are pulling their assets off exchanges, reducing the likelihood of near-term sell-offs.


In fact, the number of depositing addresses has dropped sharply, reaching a low last seen on the 7th of July.


With only 16,000 addresses currently depositing ETH, the data points to decreased selling activity, especially after ETH’s 54% rally over the past four weeks.

ETH Exchange reserve chart.

Source: CryptoQuant


If this trend continues, the reduction in available ETH could trigger a supply squeeze, a scenario where demand outpaces the limited available supply, potentially fueling further price increases.

Trending Cryptos

Related Reads

Li Fei-Fei's Latest Long-Form Article: When Video Generation, Robotics, and NVIDIA All Call Themselves World Models, We Need a Taxonomy

In a new article, Dr. Fei-Fei Li addresses the widespread and often inconsistent use of the term "world model" in AI. She proposes a clear, functional taxonomy rooted in the classic Partially Observable Markov Decision Process (POMDP) loop (agent → action → state → observation → agent). According to this framework, current systems called "world models" are different projections of this loop, categorized by their primary output: 1. **Renderers**: Output observations (pixels). Their goal is visual fidelity for human consumption (e.g., video generation models like Sora). They are the most commercially mature but are limited by a focus on appearance over physical accuracy. 2. **Simulators**: Output states (geometric, physical, dynamic representations). They provide a structurally accurate world for both human professionals (e.g., architects) and computational agents (e.g., robots for training). Li argues simulators are the crucial, underappreciated bridge, as they can underpin both rendering and planning. 3. **Planners**: Output actions. Given an observation and a goal, they decide what an agent should do next (e.g., robotic action models). This area is highly promising but remains the least mature for real-world deployment. Li highlights a key trend: the boundaries between these three categories are beginning to blur, as they all rely on a shared underlying understanding of geometry, physics, and dynamics. The logical endpoint is a unified world foundation model capable of switching between rendering, simulation, and planning based on downstream needs. This convergence, she concludes, is central to advancing spatial intelligence—enabling machines not just to talk about the world, but to truly understand, imagine, and interact with it.

marsbit4h ago

Li Fei-Fei's Latest Long-Form Article: When Video Generation, Robotics, and NVIDIA All Call Themselves World Models, We Need a Taxonomy

marsbit4h ago

Forbes Feature: Stablecoin Cross-Border Payments Are Faster, But Not Yet Cheaper

A Forbes feature delves into the state of stablecoin-based cross-border payments, noting rapid growth but a key shortfall: while faster and more accessible, they are not yet cheaper. At a recent industry conference in Mexico City, optimism about technology, regulation, and volume was tempered by discussions with practitioners. The core issue is liquidity. Traditional FX brokers charge 60-70 basis points, and stablecoins promise to slash this to 2-5 basis points. However, this theoretical cost advantage cannot be realized until deep liquidity pools are established at scale, requiring significant institutional capital inflow. A major adoption barrier is trust. Businesses often rely on long-standing relationships with traditional brokers, valuing reliability over marginal cost savings. This shift will be gradual. Furthermore, successful companies in the space are not positioning themselves as replacements for legacy systems like SWIFT, but as complements. They leverage stablecoins for speed while using traditional rails for their standardization and reliability in ensuring accurate payment details—a critical factor for supplier payments to avoid customs issues. Companies like Caliza, experiencing high monthly growth, exemplify this hybrid approach. The industry anticipates consolidation, as long-term viability will depend on securing the essential trifecta: proper licensing, robust fiat on/off-ramps, and deep liquidity. Without these, firms risk being mere intermediaries rather than building sustainable businesses.

marsbit4h ago

Forbes Feature: Stablecoin Cross-Border Payments Are Faster, But Not Yet Cheaper

marsbit4h 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