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

ambcrypto2025-09-02 tarihinde yayınlandı2025-09-03 tarihinde güncellendi

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

Trend Kriptolar

İlgili Okumalar

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.

marsbit4 saat önce

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

marsbit4 saat önce

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.

marsbit4 saat önce

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

marsbit4 saat önce

İşlemler

Spot

Popüler Makaleler

T Nasıl Satın Alınır

HTX.com’a hoş geldiniz! Threshold Network Token (T) satın alma işlemlerini basit ve kullanışlı bir hâle getirdik. Adım adım açıkladığımız rehberimizi takip ederek kripto yolculuğunuza başlayın. 1. Adım: HTX Hesabınızı OluşturunHTX'te ücretsiz bir hesap açmak için e-posta adresinizi veya telefon numaranızı kullanın. Sorunsuzca kaydolun ve tüm özelliklerin kilidini açın. Hesabımı Aç2. Adım: Kripto Satın Al Bölümüne Gidin ve Ödeme Yönteminizi SeçinKredi/Banka Kartı: Visa veya Mastercard'ınızı kullanarak anında Threshold Network Token (T) satın alın.Bakiye: Sorunsuz bir şekilde işlem yapmak için HTX hesap bakiyenizdeki fonları kullanın.Üçüncü Taraflar: Kullanımı kolaylaştırmak için Google Pay ve Apple Pay gibi popüler ödeme yöntemlerini ekledik.P2P: HTX'teki diğer kullanıcılarla doğrudan işlem yapın.Borsa Dışı (OTC): Yatırımcılar için kişiye özel hizmetler ve rekabetçi döviz kurları sunuyoruz.3. Adım: Threshold Network Token (T) Varlıklarınızı SaklayınThreshold Network Token (T) satın aldıktan sonra HTX hesabınızda saklayın. Alternatif olarak, blok zinciri transferi yoluyla başka bir yere gönderebilir veya diğer kripto para birimlerini takas etmek için kullanabilirsiniz.4. Adım: Threshold Network Token (T) Varlıklarınızla İşlem YapınHTX'in spot piyasasında Threshold Network Token (T) ile kolayca işlemler yapın.Hesabınıza erişin, işlem çiftinizi seçin, işlemlerinizi gerçekleştirin ve gerçek zamanlı olarak izleyin. Hem yeni başlayanlar hem de deneyimli yatırımcılar için kullanıcı dostu bir deneyim sunuyoruz.

536 Toplam GörüntülenmeYayınlanma 2024.12.10Güncellenme 2026.06.02

T Nasıl Satın Alınır

Tartışmalar

HTX Topluluğuna hoş geldiniz. Burada, en son platform gelişmeleri hakkında bilgi sahibi olabilir ve profesyonel piyasa görüşlerine erişebilirsiniz. Kullanıcıların T (T) fiyatı hakkındaki görüşleri aşağıda sunulmaktadır.

活动图片