Are ‘busy’ Ethereum whales a sign of big players getting ready for a big move?

ambcryptoPublished on 2026-03-07Last updated on 2026-03-07

Abstract

Amid a broader crypto market downturn driven by poor U.S. macroeconomic data, Ethereum fell below the $2,000 support level, hitting a low of $1,956. While some whales turned bearish—with one opening a $2.18 million ETH short position using 10x leverage—others showed long-term confidence. A dormant whale staked 8,208 ETH (worth $16.85 million) after a year of inactivity, signaling optimism despite current pressures. Market indicators reflect bearish momentum, with the long/short ratio dropping below 1. Although downside risk remains, some analysis suggests a potential rebound to $2,186 before a possible decline to $1,800.

The broader crypto market crashed following poor-than-expected macroeconomic data from the United States. Investors pulled significant capital out of risky assets and turned to capital preservation.

As a result, crypto assets, especially Ethereum, recorded notable losses across the board. The altcoin breached the $2k support again, hitting a low of $1956 before rebounding slightly.

With ETH facing a greater risk of downside, it would seem that whales might be stepping in across Futures and Spot markets to take positions.

Ethereum whales in the Futures show bearishness

After Ethereum fell below $2k, some long holders were forced out of the market. Long position liquidations surpassed $56 million according to Coinglass data.

With longs facing liquidations, some whales flipped and turned to short positions, according to Onchain Lens. In fact, a whale deposited $2.18 million into Hyperliquid and opened an ETH short position with 10x leverage.

Interestingly, this was not an isolated case either as ETH saw a significant increase in short positions too. CoinGlass revealed that the altcoin’s Long/Short Ratio fell below 1, dropping to 0.96 at press time.

This finding suggested that Futures participants were bearish and took short positions, in anticipation of further losses.

Dormant whale stakes ETH worth $16 million

While whales on the Futures are betting against the market, others have exhibited more long-term optimism. Thanks to a prolonged bearish structure, long-term holders, especially whales, have seen their profit margins erode, while others have fallen into unrealized losses.

These prevailing conditions prompted a dormant whale to wake up after a year and turn to staking. Onchain Lens reported that the whale staked 8,208 ETH, worth $16.85 million, with Kiln_finance.

Initially, this whale had accumulated these tokens for $16.09 million over four years. Now, his assets sit at only $768k in unrealized profits – A significant drop from their 2025 peak.

Typically, when whales choose staking over market closure during a dip, it is a sign of strong confidence in the market. Thus, the whale is positioned for the long haul and expects the phase to pass.

Can ETH hold $2k?

Ethereum failed to hold above $2k thanks to intense downside pressure. Although whale activity across the market has been elevated, their demand-side activity proved inadequate in driving ETH higher. Hence, a potential upside move was not triggered.

On the contrary, downside momentum has grown in strength lately, as evidenced by the DMI-ADX Smoothing indicator.

Based on this indicator, the positive momentum has been weak, sitting within the oversold territory at 20. At the same time, the negative index sat above the +DI at 22 – Evidence of bearish bias.

Worth pointing out, however, that based on the Future Grand Trend indicator, Ethereum could recover from this slip and climb to $2186, before dropping to $1.8k.


Final Summary

  • A whale deposited $2.18 million into Hyperliquid and opened an ETH short position with 10x leverage.
  • A dormant Ethereum whale returned after a year and staked 8,208 ETH, worth $16.85 million.

Trending Cryptos

Related Questions

QWhat was the immediate market reaction to the poor macroeconomic data from the United States?

AThe broader crypto market crashed, with investors pulling significant capital out of risky assets and turning to capital preservation, leading to notable losses, especially for Ethereum.

QWhat did the drop in Ethereum's Long/Short Ratio below 1 indicate about futures market sentiment?

AIt indicated that futures participants were bearish and were taking short positions in anticipation of further price losses for Ethereum.

QWhat significant action did a dormant whale take after a year of inactivity, and what does it typically signify?

AThe dormant whale staked 8,208 ETH, worth $16.85 million. This action typically signifies strong long-term confidence in the market, as the whale is choosing to stake during a dip instead of closing their position.

QAccording to the Future Grand Trend indicator, what is the potential price trajectory for Ethereum mentioned in the article?

AThe indicator suggested that Ethereum could recover from its current slip and climb to $2186 before potentially dropping to $1.8k.

QDespite elevated whale activity, why was a potential upside move for ETH not triggered?

AThe demand-side activity from whales proved inadequate in driving ETH higher, as the downside momentum had grown stronger, preventing an upside move.

Related Reads

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbit54m ago

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbit54m ago

OpenAI No Longer Sells Its Most Expensive Model for Profit

OpenAI is shifting its business strategy away from promoting its most expensive, flagship models for every task. Recent price cuts—80% for GPT-5.6 Luna and 20% for Terra—signal a deeper change: the company now actively advises users that many tasks don't require the most powerful model. Instead, OpenAI recommends a tiered approach: use the high-end GPT-5.6 Sol for complex planning and analysis, then delegate execution to cheaper models like Luna. This mirrors moves by Anthropic, which recently launched Claude Opus 5 at half the price of its top model, Fable 5. Both companies are de-emphasizing flagship models as primary revenue drivers, using them instead for brand prestige and technological showcases. The industry is entering a "mass-market" phase, similar to automotive, where high-volume, cost-effective models handle daily operations and drive scale. OpenAI's price reductions are partly enabled by AI models themselves optimizing underlying code and infrastructure, creating a self-reinforcing cycle of efficiency gains and cost reduction. Competition is shifting from "who is smartest" to "who offers the best value." The goal is no longer selling individual models but fostering widespread API adoption and ecosystem lock-in. By making AI calls cheap and ubiquitous, companies like OpenAI aim to become the indispensable, utility-like infrastructure powering automated workflows—the "water and electricity" of software, quietly embedded everywhere.

marsbit54m ago

OpenAI No Longer Sells Its Most Expensive Model for Profit

marsbit54m ago

Will the Fed Definitely Raise Interest Rates in September? How Will Crypto and U.S. Stocks Withstand the Pressure?

The market's expectation for a September Fed rate hike surged dramatically in early August, jumping from under 50% to over 80% within a week. This shift followed a contentious July FOMC meeting, where a 9-3 vote to hold rates revealed growing dissent from hawkish members advocating for an immediate hike to combat persistent inflation. The primary catalyst for this repricing is rising oil prices, driven by renewed geopolitical tensions around the Strait of Hormuz, which threaten global supply. Energy costs directly influence inflation metrics, making the upcoming July CPI report (due August 12th) a critical data point. If it shows inflation reaccelerating, the probability of a September hike will solidify. For Bitcoin and crypto assets, this is typically bearish news. Bitcoin continues to behave as a high-beta, liquidity-sensitive risk asset. A rate hike raises the opportunity cost of holding non-yielding assets and could drive capital toward money markets, pressuring crypto prices in the short term. However, historical patterns suggest that if a hike is perceived as the end of a tightening cycle rather than the start, any negative price impact may be brief. U.S. stocks, particularly crypto-linked equities like Coinbase and growth-oriented tech stocks, are also vulnerable. Higher rates increase discount rates in valuation models, putting pressure on high-multiple companies. This coincides with a pivotal tech earnings season where investor focus has shifted from massive AI capital expenditure to tangible revenue and cash flow generation. Companies with negative cash flow and weak growth narratives could face heightened volatility if borrowing costs rise in September. In summary, a September Fed hike has evolved into a mainstream market scenario. Key factors to watch are oil prices, the July CPI report, and Fed communications, which will determine the final decision and its impact on volatile crypto and equity markets.

marsbit1h ago

Will the Fed Definitely Raise Interest Rates in September? How Will Crypto and U.S. Stocks Withstand the Pressure?

marsbit1h 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