‘End of an era’ as Ethereum OG exits after $274mln sale – Details

ambcryptoPublicado a 2026-01-12Actualizado a 2026-01-12

Resumen

An Ethereum OG whale, known for holding 154,076 ETH since 2017 with an average entry price of $517, has sold their final 26,000 ETH (worth ~$80.88M) via Bitstamp. This concludes a multi-year exit strategy resulting in a $274 million profit—a 344% return. The sale coincides with institutional outflows from spot Ethereum ETFs ($93.8M), adding short-term selling pressure. However, institutional buyers like BitMine Immersion Technologies are accumulating and staking ETH, shifting long-term ownership toward entities with extended horizons. The move aligns with Vitalik Buterin’s vision for Ethereum to prioritize data scalability and user sovereignty over transaction speed, emphasizing the network’s value beyond price. Despite volatility, the market shows maturity by absorbing large sell-offs without structural damage.

While the broader market fixates on daily price fluctuations, one of Ethereum’s most patient OGs has just executed their final act.

After nearly a decade of holding through the industry’s most volatile cycles, the legendary whale, known for amassing a staggering 154,076 ETH, has officially emptied their wallets as per Lookonchain data.

The final 26,000 ETH (approximately $80.88 million) was moved to Bitstamp, marking the definitive end of a high-stakes journey that began with an average entry price of just $517.

This indicates that the OG didn’t panic during the brutal market crashes of 2018 or 2022. Instead, they held firm while their portfolio swung by hundreds of millions of dollars.

Hence, this marks a multi-year liquidation strategy that culminated in a realized profit of roughly $274 million, a jaw-dropping 344% return on capital.

This comes at a time when...

The timing of this exit is particularly striking because it coincided with a period of intense institutional tug-of-war.

With Ethereum [ETH] trading around $3,150 at press time, a sudden $81 million wave of sell-side liquidity could cap prices in the short term.

That pressure is amplified by recent Spot Ethereum ETF outflows of $93.8 million. They are suggesting some institutional investors are also stepping back.

However, while early crypto OGs are selling, a new kind of buyer is taking their place.

Firms like BitMine Immersion Technologies now control more than 3.43% of Ethereum’s total supply. Unlike past individual whales, these institutions aren’t flipping for quick gains.

Likely, they’re staking their ETH, locking it up to support the network while earning yield.

Ergo, short-term selling pressure exists, but long-term ownership is quietly shifting toward institutions with a much longer time horizon.

Why does it matter?

This follows Ethereum Co-founder Vitalik Buterin’s push for a shift in mindset.

Recently, he called for a reality check, arguing that chasing ultra-fast transaction speeds misses the point.

Instead, Ethereum should focus on scaling bandwidth, the ability to process large amounts of data efficiently.

For Buterin, Ethereum’s long-term strength isn’t about shaving milliseconds off transactions, but about handling massive volumes at scale.

Beyond technology, his vision is also philosophical.

He advocates for a “sovereign web” that protects users from what he calls “corposlop”, an internet dominated by addictive algorithms and corporate data extraction that erodes user control and autonomy.

Therefore, while the exit of the OG might mark the end of an era for one wallet, Buterin’s vision highlights the true value of Ethereum. It may no longer be measured in dollars, but in the independence it offers its users.


Final thoughts

  • Short-term sell pressure exists, but it is being absorbed without structural damage, an important sign of market maturity.
  • Ownership of ETH is quietly shifting from individual legends to institutional balance sheets with longer investment horizons.

Preguntas relacionadas

QWhat was the total realized profit and return on capital for the Ethereum OG whale after selling their holdings?

AThe Ethereum OG whale realized a profit of roughly $274 million, which represents a 344% return on capital.

QHow much ETH did the OG whale originally hold and what was their average entry price?

AThe OG whale originally amassed 154,076 ETH with an average entry price of just $517.

QWhat recent market development is amplifying the selling pressure on Ethereum alongside the whale's exit?

AThe selling pressure is amplified by recent Spot Ethereum ETF outflows of $93.8 million, suggesting some investors are stepping back.

QAccording to the article, what is the new type of buyer taking the place of individual whales, and how is their strategy different?

AInstitutions like BitMine Immersion Technologies are the new buyers. Unlike individual whales, they aren't flipping for quick gains but are likely staking their ETH to support the network and earn yield.

QWhat key shift in focus did Ethereum co-founder Vitalik Buterin recently advocate for?

AVitalik Buterin advocated for a shift from chasing ultra-fast transaction speeds to focusing on scaling bandwidth, which is the ability to process large amounts of data efficiently, and for a 'sovereign web' that protects users from corporate dominance.

Lecturas Relacionadas

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbitHace 11 hora(s)

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbitHace 11 hora(s)

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbitHace 13 hora(s)

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbitHace 13 hora(s)

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbitHace 13 hora(s)

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbitHace 13 hora(s)

Trading

Spot
Futuros

Artículos destacados

Cómo comprar ERA

¡Bienvenido a HTX.com! Hemos hecho que comprar Caldera (ERA) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar Caldera (ERA) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu Caldera (ERA)Después de comprar tu Caldera (ERA), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear Caldera (ERA)Tradear fácilmente con Caldera (ERA) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

302 Vistas totalesPublicado en 2025.07.17Actualizado en 2025.07.17

Cómo comprar ERA

Discusiones

Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de ERA (ERA).

活动图片