ShapeShift founder denies $260mln whale accumulation – Here’s what we know!

ambcryptoОпубліковано о 2026-03-23Востаннє оновлено о 2026-03-23

Recent on-chain data suggests that large investors are quietly building strong positions in Ethereum.

Over the past two weeks, a major whale, reportedly linked to Erik Voorhees, Founder of ShapeShift, has deployed nearly $260 million in USDT to accumulate more than 120,000 ETH.

This buying pattern points to a steady accumulation strategy rather than a one-time trade. For instance, in the latest transaction, the whale spent $4.29 million to purchase ETH at $2,134.

Source: Lookonchain/X

Overall, the average buying price stands at around $2,162, which now acts as a key support level for the market.

Such moves signal strong confidence that Ethereum may be nearing its bottom, with expectations of potential upside in the coming months.

Notably, this accumulation is happening even as ETH trades at $2,071.67, down over 3% in the last 24 hours. This paints a clear divergence between short-term price action and long-term investor sentiment.

Retail vs whale behavior

To understand this better, let’s analyse the Spot Retail Activity by CryptoQuant.

Historically, smaller investors tend to buy when prices are already high, driven by FOMO. This happened in past cycles like 2018, 2021, and even 2024.

Source: CryptoQuant

Right now, retail activity is relatively low, which is actually a good sign. It means the market is in a quieter phase where large investors are accumulating, while the public is still on the sidelines.

Interestingly, while this whale has been aggressively buying Ethereum [ETH], ETFs have been seeing money flow out, which may seem negative at first.

Source: Farside Investors

However, a closer look reveals that large whales are steadily increasing their holdings, while mid-sized investors seem to be selling or redistributing.

Meanwhile, retail investors remain inconsistent, often buying at higher levels and selling during dips.

Source: Santiment

Overall, this indicates that Ethereum is gradually moving from weaker hands to stronger, long-term holders, which is typically a bullish sign for the market.

Voorhees’ past whale move and a crazy plot twist

For those unaware, this whale activity began on the 16th of March and intensified on the 20th of March, when the Voorhees-linked whale made another major move.

Source: Lookonchain/X

However, the narrative took a sharp turn when Voorhees publicly denied any involvement and said,

I did not buy any eth and those tracking sites are a scam.

Now, this throws darts at two opposite possibilities. In the first case, it could be a different investor with similar wallet activity, or simply a misidentification by tracking platforms.

However, another possibility is stealth accumulation, where large investors buy quietly to avoid moving the market.

Whatever the possibilities may be, such whale movements do impact how investors perceive and feel about the token’s future.


Final Summary

  • Price weakness is being used as an opportunity by large players, not a warning sign.
  • ETF outflows may look bearish, but on-chain data shows whales are steadily increasing holdings.

Пов'язані питання

QWhat recent on-chain activity is linked to a major whale, and how much ETH was accumulated?

ARecent on-chain data suggests a major whale, reportedly linked to Erik Voorhees, deployed nearly $260 million in USDT to accumulate more than 120,000 ETH over the past two weeks.

QWhat is the average buying price for the whale's ETH accumulation, and why is it significant?

AThe average buying price for the whale's accumulation stands at around $2,162, which now acts as a key support level for the market.

QHow does the current retail activity for Ethereum compare to the behavior of large whales, according to the article?

ARetail activity is currently low, which is a sign the market is in a quieter phase where large investors are accumulating, while retail investors tend to buy at higher prices and sell during dips.

QWhat was Erik Voorhees's public response to the reports linking him to the whale activity?

AErik Voorhees publicly denied any involvement, stating, 'I did not buy any eth and those tracking sites are a scam.'

QWhat is one possible explanation given in the article for the whale's activity if it is not Voorhees?

AOne possibility is that it could be a different investor with similar wallet activity, or simply a misidentification by tracking platforms. Another possibility is stealth accumulation, where large investors buy quietly to avoid moving the market.

Пов'язані матеріали

The Gold Buy-on-the-Dip Guide: Watch Interest Rates, Not Just War

"Gold Buying Guide: Focus on Interest Rates, Not Just War" Four months ago, gold buyers likely didn't anticipate buying at a peak that even a war couldn't sustain. After hitting a record high of $5,596 on January 29, gold entered a bear market just 91 days later, its fastest decline since 2008. A key trigger was the Fed's hawkish shift, highlighting that monetary policy, not geopolitics, is the primary driver. The article argues that the traditional "buy gold in turmoil" script has changed. While the US-Iran conflict initially boosted prices, the sustained rally in oil prices heightened inflation fears, forcing central banks to maintain or consider tighter policy. Since gold yields no interest, higher rates increase its opportunity cost, eroding its appeal. This dynamic was evident when gold fell sharply on May 18 despite positive peace talks, as lower oil prices eased inflation and thus rate hike pressures. The recent sell-off is also part of a broader market deleveraging. Correlations between gold, Nasdaq, and Bitcoin spiked as leveraged investors sold liquid assets to cover losses, creating a synchronized downturn. Historically, gold bottoms align with policy shifts, not conflict resolutions. The 2008 and 2022 bear markets ended with shifts to extreme easing and peak inflation expectations, respectively. For potential buyers, the author suggests monitoring three signals: 1) Peak interest rate hike expectations, 2) Reopening of the Strait of Hormuz (to ease oil/inflation pressure), and 3) A return to net inflows for Gold ETFs, indicating the end of forced selling. While predicting the exact bottom is impossible, the author's personal strategy involves scaling into a position across price levels like $4000, $3700, and $3500, committing no more than 30% of the intended total allocation initially, and adding the remainder only if key signals emerge. The core conclusion: In turbulent times, watching interest rates is more crucial than watching wars.

marsbit8 хв тому

The Gold Buy-on-the-Dip Guide: Watch Interest Rates, Not Just War

marsbit8 хв тому

Recent On-Chain Review: No Clear Narrative Under U.S. Stock Market Pressure, Just Hype

This article analyzes the current state of the Solana meme coin and community token ecosystem, highlighting a market caught between two dominant forces: attention-based PvP and a gradual return to community-centric projects. The first part explores the "Attention PvP" dynamic, where success is driven by celebrity endorsements, viral events, and speed. Examples include $JOTCHUA, which surged after its meme creator's social media activity, and $WORLDCUP, which outperformed a similar Base chain project ($PITCH) largely due to influencer support. The recent "pump.fun GO" feature, allowing bounty tasks for token promotion, is critiqued for fostering sensationalist and often negative stunts—like people getting token tickers tattooed on their bodies for rewards—reminiscent of old internet shock content. In contrast, the article points to a resurgence of organic, community-driven tokens that survive market volatility through strong holder bases and shared ideology, not just hype. Influencer Ansem is cited, arguing that durable meme coins rely on communities willing to endure losses and promote their core message daily. Examples given are older tokens like $neet (anti-work ethos), $troll, $buttcoin, and $triplet, which have maintained relative price stability. A prime example of this community-build model is the new project $KINS, the token for the browser-based MMORPG Kintara. Its success stems not from advanced graphics but from consistently delivering updates, fostering player trust, and creating genuine engagement (e.g., in-game economies, events, property auctions). It has attracted a growing player base and even notable KOLs as participants, demonstrating that sustainable growth can come from building trust rather than orchestrating pumps. The article concludes by questioning whether the market is ultimately a game of mutual trust or mutual deception, expressing hope that such reflection might lead to a healthier ecosystem.

marsbit8 хв тому

Recent On-Chain Review: No Clear Narrative Under U.S. Stock Market Pressure, Just Hype

marsbit8 хв тому

On-Chain Scene on Opening Day: $20 Billion Already Staked, How Do On-Chain Contracts Know Who Wins?

On the opening day of the 2026 World Cup, over $2 billion had already been wagered on just the "tournament winner" contracts on platforms like Polymarket and Kalshi. This article explores how these blockchain-based prediction markets actually function once the games begin. It breaks down the massive volume and explains how single-game and tournament-long contracts are priced, with values moving between 1-99 cents to reflect implied probabilities. A key mechanism highlighted is "elimination zeroing," where a team's "champion yes" contract immediately settles to zero once they are mathematically eliminated. The core technical question answered is: how does a smart contract "know" who won a real-world match? The answer lies in oracles. The article details two primary paradigms: UMA's "optimistic oracle" (used by most of Polymarket), which allows a challenge period after a proposed result, and Chainlink's multi-source data aggregation (used by FIFA partners like ADI Predictstreet), which automates settlement with minimal dispute windows. Finally, the article injects a note of caution, citing research estimating that a significant portion of historical trading volume on these platforms might be "wash trading" to inflate numbers. It concludes by contrasting the legal status of these "event contracts" under CFTC rules in the U.S. versus traditional, state-regulated sports betting. As the tournament progresses, the real-time operation of this multi-billion dollar machine—its settlements, eliminations, and underlying mechanisms—becomes a story as compelling as the football itself.

marsbit24 хв тому

On-Chain Scene on Opening Day: $20 Billion Already Staked, How Do On-Chain Contracts Know Who Wins?

marsbit24 хв тому

Sequoia Dialogue with Jensen Huang: Computing Model Undergoes a 60-Year Transformation; You Won't Be Replaced by AI, But You Will Be Dimensionality-Reduced by 'Those Who Master AI'

NVIDIA founder and CEO Jensen Huang, in a conversation with Sequoia Capital's Konstantine Buhler, argues that we are witnessing the most significant computing shift in 60 years—from retrieval-based to generative computing. Instead of just storing and retrieving data, future systems will generate highly personalized content (text, images, video) on demand, powered by massive "AI factories." Huang envisions a global "intelligence network" that will envelop the planet, following the historical patterns of energy and communication grids. He outlines a five-layer investment framework: 1) Energy, 2) Chips/Computers, 3) Infrastructure (data centers), 4) AI Models, and 5) Applications. He predicts this ecosystem will reach a scale of $20 trillion annually. Crucially, Huang pushes back against fears of AI-driven job loss. He distinguishes between specific "tasks" (e.g., typing, analyzing images) and overall "jobs" (e.g., CEO, radiologist). While AI automates tasks, it increases efficiency and demand for the higher-value problem-solving aspects of professions, thus creating more jobs and "up-leveling" careers. The real risk, he asserts, is not being replaced by AI, but being outperformed by someone who effectively leverages it. He urges everyone to embrace AI as a tool for augmented capability and innovation.

marsbit1 год тому

Sequoia Dialogue with Jensen Huang: Computing Model Undergoes a 60-Year Transformation; You Won't Be Replaced by AI, But You Will Be Dimensionality-Reduced by 'Those Who Master AI'

marsbit1 год тому

Торгівля

Спот
Ф'ючерси
活动图片