Ethereum Whales May Be Bearish Towards Shiba Inu As Balance Drops Below $1 Billion

BitcoinistPublished on 2022-05-05Last updated on 2022-05-05

Abstract

Ethereum whales are no doubt some of the biggest fans of meme coin Shiba Inu but it seems even...

Ethereum whales are no doubt some of the biggest fans of meme coin Shiba Inu but it seems even the whales are starting to feel the heat of the downtrend. This has resulted in the top whales significantly decreasing their holding in the digital asset. Now, these whales still hold a reasonable portion of the supply of the meme coin but with prices continuing to plummet as the crypto market pulls back, it seems the whales are betting less on meme coins.
Ethereum Whale Holdings Decline
Ethereum whale Shiba Inu balances have been above $1 billion for the longest time. These are the top 100 Ethereum whales according to WhaleStats, whales who have always been bullish on the meme coin and have made it obvious with their accumulation trends. However, this era of incredibly bullish sentiment among these whales seems to be slowly coming to an end as they have now taken to reducing their holdings in the digital asset.
Their total balances have now dropped to $982,324,880 as at the time of this writing. This doesn’t mean that the meme coin has lost its footing when it comes to the token leaderboard. In fact, Shiba Inu is still the largest token holdings of these Ethereum whales by a good margin. It currently makes up 15.23% of the total holdings of the top 100 whales, with FTX Token coming in second place with a total of 13.58%, with a dollar value of $875,821,321.
What this signifies is that some of these whales are dumping their tokens. Last week, the total dollar value of their SHIB holdings was trending between $1.2 billion to $1.4 billion. In the space of a week, there has been more than $200 million worth of SHIB shaved off their holding.
Not Out On Shiba Inu
Despite Ethereum whales seemingly pulling out the meme coin, not all whales have followed this trend. Others have also taken to filling up their bags during this time, although it now seems more of risk-taking on their part.
An Ethereum whale identified as “BlueWhale0073” recently bought another 300 billion tokens. This happened as the price of the meme coin had dipped causing panic among investors. In total, the dollar value of the purchase had been an impressive $6.1 million worth of SHIB.

Shiba Inu price chart from TradingView.com

SHIB continues downtrend | Source: SHIBUSD on TradingView.com
The whale did not just stop there however. They had taken another move to take advantage of declining prices to purchase even more tokens. This time around, BlueWhale0073 had added another 143 billion SHI tokens to their holdings, coming out to a dollar value of $3.2 million.
This whale would not be the only one trying to take advantage of the low prices as another whale identified as “Bombur” had followed the same footsteps when they added over $1 million in SHIB token to their holdings.
Now trading at $0.00002 at the time of writing, the meme coin is still the largest token holding of the top 100 Ethereum whales.

Related Reads

Claude Requires ID Verification and Facial Recognition? The Facial Recognition Requirement is an Old Story from Two Months Ago, and "Sharing Data with Police" is a Misinterpretation

Anthropic's updated privacy policy, effective July 8th, has sparked misinterpretations in Chinese social media, primarily concerning new identity verification and data sharing with law enforcement. A detailed comparison reveals these claims are largely unfounded. First, identity verification (including submitting government ID and a live selfie via third-party provider Persona) is not a new July policy. This mechanism was actually implemented in mid-April 2026 for certain high-use or flagged accounts, particularly Claude Max subscribers. The July update merely formally documents this existing practice in the policy text under a new "Verification Data" section. Second, the widespread claim that the new policy lowers the threshold for sharing user data with law enforcement is incorrect. Comparing the new text with the old version (dated September 28, 2025) shows no substantive tightening. While the new policy more clearly structures the conditions for disclosure—including having a "good-faith belief" it's necessary for legal compliance, preventing harm, fraud detection, or enforcing terms—the old policy already allowed Anthropic to disclose data based on its judgment for similar reasons (e.g., protecting safety, preventing fraud, or complying with law). The term "good-faith belief" acts as a limiting standard, not a lowered barrier. A 2025 court case where Anthropic resisted disclosing user data in a copyright lawsuit further demonstrates the complexity of such standards. The policy's actual substantial changes address data flows for Claude's Agent capabilities. New clauses clarify that when users connect third-party services or instruct Claude to perform multi-step tasks (reading files, sending messages), their inputs, outputs, and instructions are shared with those third parties, governed by the third parties' own policies. This update fills a compliance gap for Claude's evolving functionality beyond simple Q&A. Other additions include a "Research Participation Data" section and refined marketing legal bases. Anthropic reaffirms core commitments: not selling user data, keeping Claude ad-free, and allowing users to control if chats are used for model training. Overall, this update is primarily a compliance catch-up to existing product features, not a significant new privacy tightening. The heightened concern stems from conflating April's verification rollout, standard legal clauses, and the genuine new provisions regarding Agent tasks.

marsbit6m ago

Claude Requires ID Verification and Facial Recognition? The Facial Recognition Requirement is an Old Story from Two Months Ago, and "Sharing Data with Police" is a Misinterpretation

marsbit6m ago

The World Cup Has Only Just Begun, But AI Predictions Already Have Models Hailed as 'Godly' and Others Flipping Over

After only a few days of the World Cup, AI models are being widely used for match predictions, with mixed early results. These models analyze details like scores, upsets, red cards, and key players, offering users in prediction markets an extra layer of analysis beyond odds and news. Qwen gained early attention for its remarkably accurate calls on the opening day, correctly predicting Mexico's 2-0 win over South Africa and Korea's 2-1 victory over the Czech Republic, while also highlighting red card risks and match flow. Copilot had its own highlights, accurately forecasting the Mexico 2-0 result, the Korea 2-1 win, and a surprising 1-1 draw between Brazil and Morocco. However, it also misjudged several matches, like predicting a Swiss win that ended in a draw with Qatar and missing Australia's upset over Turkey. ChatGPT provided detailed pre-match analysis and correctly called the Mexico 2-0 score, explaining factors like home-field advantage. Yet, it struggled to anticipate upsets, often siding with the stronger team on paper, as seen in its missed calls for the Australia-Turkey and Japan-Netherlands matches. Social media tests pitted models like Gemini, Grok, and Claude against each other for the same games, revealing different predictive "scripts" even for the same fixture. Overall, while AI models like Qwen and Copilot have shown promising, high-profile successes in early matches, their consistency and ability to predict genuine upsets remain in question. As the tournament progresses, more data will be needed to determine which models offer the most reliable insights for prediction markets.

Odaily星球日报10m ago

The World Cup Has Only Just Begun, But AI Predictions Already Have Models Hailed as 'Godly' and Others Flipping Over

Odaily星球日报10m ago

The Unfinished Tale of Jueying, DaXiao Robotics Swiftly "Raises Funds"

Following a major fundraising round involving several prominent investment institutions, DaXiao Robotics, a company backed by SenseTime, has secured hundreds of millions of US dollars in financing for the first half of 2026. This move signals SenseTime's renewed and substantial bet on "Physical AI" through embodied intelligence, following the relative underperformance of its autonomous driving unit, Jueying. While Jueying achieved mass production partnerships in the smart vehicle sector, it failed to become a pivotal player in the high-level autonomous driving landscape, leading to its gradual independence from SenseTime's core financials. DaXiao Robotics now emerges as SenseTime's next major venture into the physical world. The new funding will focus on developing a "world model" and integrated hardware-software solutions for commercial applications like retail, security, and hospitality. This ambition is significantly more complex and capital-intensive than previous projects. A world model requires understanding spatial relationships, physics, and causality to guide robots in long-term tasks, demanding immense computational resources, data, and engineering. The article highlights several challenges. First, the massive funding, while substantial, may still be strained by the high costs of R&D, data collection, and commercial deployment. Second, SenseTime itself, despite narrowing losses, continues its high-investment growth model and cannot solely bankroll this new, expensive endeavor. Third, DaXiao Robotics, led by SenseTime co-founder Wang Xiaogang, carries the technical heritage and resources of its parent company but also potentially its organizational inertia. It operates in a field increasingly dominated by agile, young technical founders. Ultimately, DaXiao Robotics represents SenseTime's attempt to secure a leading industrial position in embodied intelligence—a goal its Jueying unit did not fully achieve in autonomous driving. The new venture starts with strong capital backing, but faces the critical task of rapidly transitioning from technological narrative to sustainable commercial delivery in an early-stage, costly, and highly competitive arena.

marsbit20m ago

The Unfinished Tale of Jueying, DaXiao Robotics Swiftly "Raises Funds"

marsbit20m ago

Crypto 2029: The Ultimate Forecast for the Four-Year Cycle of the Cryptocurrency Industry

Title: Crypto 2029: The Ultimate Four-Year Cycle Prediction for the Encryption Industry This article outlines a detailed, stage-by-stage prediction for the crypto industry from the present to 2029, focusing on tangible shifts rather than abstract theory. Key predictions include: **2026 Mid-Year:** The market shifts focus from traditional tokens to synthetic perpetual contracts for private company shares (e.g., SpaceX on Hyperliquid), which become primary price discovery tools for pre-IPO assets. Most altcoins languish as the market seeks assets with real underlying value. **2026 Year-End:** The "AI + crypto" narrative fades as the AI industry itself does not require crypto infrastructure, except for prediction markets betting on model performance. Concurrently, a quiet institutional adoption of asset tokenization (e.g., money market funds) begins under new regulations like the CLARITY Act, creating a dual economy. **2027:** Major public blockchain foundations pivot decisively to serve institutional clients with compliance tools and enterprise sales, while quietly building infrastructure for a future wave of accredited retail investors. Three sectors hit growth ceilings: private perpetual contracts (due to legal restrictions on marketing), stablecoins (due to political uncertainty ahead of the 2028 US election), and tokenized assets (due to cautious institutional scaling). **2028:** Speculative trading diminishes as market efficiency drains liquidity. A major liquidation cascade in synthetic perpetual contracts exposes the flaw of lacking a legally enforceable underlying asset. In response, regulations are revised to allow marketing of private security secondary sales to accredited investors. This creates a legal, direct market for private company equity, absorbing much of the demand previously met by synthetic derivatives. **2029:** A new bull market emerges, driven not by tokens but by tradable equity in innovative private companies (biotech, robotics, AI). Tokens without legally enforceable claims to real assets lose all liquidity. Successful blockchains become invisible settlement infrastructure. Stablecoins grow steadily at a policy-capped rate. Speculation becomes a niche. Core Questions Answered: 1. **Token Value:** Determined solely by legally enforceable claims to real-world assets. 2. **Tech Adoption:** Achieved through blockchain-based primary/secondary markets for private equity, not through forcing tokens onto tech firms. 3. **Crypto as Infrastructure:** The transition happens silently; the technology becomes a mundane, unseen utility like traditional settlement systems. The entire thesis hinges on one testable variable: by late 2028, whether accredited retail investors gain legal, direct access to private asset markets. If not, the core premise—that legal frameworks, not technology, are the main bottleneck—fails.

Foresight News28m ago

Crypto 2029: The Ultimate Forecast for the Four-Year Cycle of the Cryptocurrency Industry

Foresight News28m 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