ETH/BTC down 8% – A rotation signal traders shouldn’t ignore?

ambcryptoPublicado em 2025-09-02Última atualização em 2025-09-03

Key Takeaways

ETH/BTC ratio breaks down 8% as spot flows diverge. Are we seeing the start of a structural rotation into Bitcoin?


There’s a subtle rotation playing out under the hood. 

The ETH/BTC ratio ran into resistance around 0.043 on the 18th of August and is now retracing. In fact, the ratio is down nearly 8% in two weeks, marking its largest back-to-back drop since the April FUD.

That suggests recent Bitcoin [BTC] to Ethereum [ETH] flows are starting to unwind. Backing this, on-chain data shows a big ETH holder who bought 886k ETH would now get much less BTC if they sold, about 34k BTC.

ETH/BTCETH/BTC

Source: TradingView (ETH/BTC)

Simply put, the investor is facing a $177 million paper loss on this rotation.

As Bitcoin has outperformed Ethereum over this period, swapping their ETH now nets less BTC than they initially deployed. In real terms, 886k ETH now equals 34k BTC instead of the 36k they started with.

It’s a clear sign that Bitcoin’s on-chain momentum is outpacing Ethereum’s. The real question now is whether whales are rotating back into BTC after squeezing the upside out of the ETH/BTC rally.

Spot flows diverge: BTC dense, ETH sparse

Bitcoin dominance [BTC.D] is walking a tightrope. 

After the mid-July bounce off 60% fizzled, BTC.D slid nearly 5% through August, ultimately retesting the 57% handle for the first time since Q1. Meanwhile, ETH.D ripped 50% higher into the July–August cycle.

That means smart money clearly took profits into that upside. That said, ETH.D has flipped into pullback mode, down 7% in just two weeks. The real signal, however, comes from Glassnode’s latest report.

DominanceDominance

Source: TradingView (ETH.D)

Glassnode points to a sharp spot divergence between BTC and ETH. 

Cost Basis Distribution (CBD) shows BTC spot flows are stacked and dense, while ETH remains thin with air gaps. Translation: BTC is anchored by spot demand, while ETH price action looks more derivatives-driven.

The result? BTC is pulling ahead, while ETH bleeds out overleveraged longs, capping the upside.

In turn, that’s fueling smart money rotation back into BTC, showing this divergence in ETH/BTC ratio is structural, not a fluke.

Share

Criptomoedas em alta

Leituras Relacionadas

2028: The Arrival of Recursive Self-Improvement (RSI)

**AI Recursive Self-Improvement (RSI): The Countdown to 2028 Begins** AI is no longer just a trained tool but is starting to rewrite its own evolutionary pace. According to Anthropic co-founder Jack Clark, there is a 60% probability that by the end of 2028, Recursive Self-Improvement (RSI) will become a reality. This means AI could autonomously design and build a more capable next-generation version of itself without any human researcher involvement—Claude 10 creating Claude 11, for instance. Supporting this timeline, Google DeepMind's CEO Demis Hassabis confirms that all leading AI labs are intensely focused on RSI, making it an industry-wide priority. He expresses profound concern, stating this potential is what keeps him awake at night. Concrete data underscores this acceleration: - METR evaluations show current top models like Claude are solving tasks up to the 16-hour limit of existing test frameworks. - In Epoch AI's challenging MirrorCode benchmark, Claude Opus 4.7 recreated complex software in hours for a fraction of the human cost. In one extreme test, AI autonomously coded for 19 days straight. - Anthropic reports over 80% of its codebase is now written by Claude, and researcher productivity has increased up to 8-fold since 2024. - OpenAI's policy blueprint highlights RSI as a major upcoming governance challenge. CEO Sam Altman reportedly hinted RSI might arrive within six months, potentially delaying OpenAI's massive IPO. The implication is an impending "intelligence explosion," where AI-driven progress outpaces human control. The central question is no longer if it will happen, but whether humanity is ready.

marsbitHá 3h

2028: The Arrival of Recursive Self-Improvement (RSI)

marsbitHá 3h

World Models, Metaverse, Digital Twins, Physical AI: Are They the Same Thing?

Title: World Models, the Metaverse, Digital Twins, Physical AI: Are They the Same Thing? The article clarifies that concepts like the metaverse, Web3, simulation platforms, digital twins, and Physical AI are not the same thing but are all part of the broader trend of blurring the lines between the digital and physical worlds. It positions "world models" as the foundational "cognitive layer" or "operating system" that enables AI to understand and simulate the world. Key distinctions are made: - The **Metaverse** is a destination for immersive social and economic experiences. World models could act as its "engine," generating interactive 3D content efficiently. - **Web3** focuses on decentralized ownership and economics (rules layer), operating on a different technical level than world models. - **Simulation Data Platforms** (e.g., for autonomous vehicles) are a 1.0 version, relying on manual design. World models represent a 2.0 version, using AI to generate realistic, varied scenarios autonomously. - **Digital Twins** create high-fidelity, real-time mirrors of physical systems (e.g., a factory). World models go a step further by enabling predictive simulation of future states. - **Physical AI** (robots, AVs) refers to AI that acts in the physical world. World models are a core component, providing the understanding and prediction needed for planning. A proposed hierarchy places world models at the cognitive layer, supported by infrastructure (compute, data) and supporting application tools (simulation, digital twins), action systems (Physical AI), user experiences (metaverse), and rules (Web3). In conclusion, while distinct, many of these previously hyped concepts may ultimately rely on advances in world model technology to fulfill their promises, as world models provide the essential cognitive foundation for simulating and interacting with complex environments.

marsbitHá 3h

World Models, Metaverse, Digital Twins, Physical AI: Are They the Same Thing?

marsbitHá 3h

"Shocking" CPO: How Does the Glass Bridge Actually Work? Detailed Explanation from Corning

Chinese CPO stocks plunged over 6% following Corning's announcement of its Glass Bridge platform at a Seoul tech conference. The new technology utilizes wafer-level glass ion-exchange waveguides for passive alignment between fibers and photonic chips, potentially simplifying traditional CPO architectures that rely on complex Fiber Array Units and active alignment equipment. This raised market concerns about reduced long-term demand for mid-stream CPO components. Corning's official documentation details Glass Bridge as a platform for fiber-to-PIC connectivity in NPO, CPO, and high-density modules. Its key features include wafer-level manufacturing for consistent, cost-effective production; a standardized, removable MT ferrule interface for ecosystem integration; and a separable high-density connector design supporting over 24 channels for assembly flexibility. Corning positions the technology as complementary to FAUs, addressing limitations in ultra-high-fiber-count scenarios. The market reaction reflects a broader reassessment of the AI optical interconnect value chain. Funds shifted from CPO and PCB manufacturing stocks towards glass substrate concept stocks like Kaisheng Technology and Dyer Laser. Analysts note glass substrates are seen as a next-gen advanced packaging material, offering a potential path for domestic industry differentiation amid AI-driven demand for high-performance, large-scale packaging, marking a structural migration in value towards upstream specialty materials.

marsbitHá 3h

"Shocking" CPO: How Does the Glass Bridge Actually Work? Detailed Explanation from Corning

marsbitHá 3h

Trading

Spot

Artigos em Destaque

Como comprar T

Bem-vindo à HTX.com!Tornámos a compra de Threshold Network Token (T) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar Threshold Network Token (T) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu Threshold Network Token (T)Depois de comprar o teu Threshold Network Token (T), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona Threshold Network Token (T)Transaciona facilmente Threshold Network Token (T) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

483 Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.02

Como comprar T

Discussões

Bem-vindo à Comunidade HTX. Aqui, pode manter-se informado sobre os mais recentes desenvolvimentos da plataforma e obter acesso a análises profissionais de mercado. As opiniões dos utilizadores sobre o preço de T (T) são apresentadas abaixo.

活动图片