Ethereum ETFs are emptying fast! Is a drop to $2,500 closer than traders think?

ambcryptoPubblicato 2025-12-27Pubblicato ultima volta 2025-12-27

Introduzione

Ethereum ETFs have experienced significant outflows, losing $853.9 million in two weeks, with BlackRock's ETHA unexpectedly leading the withdrawals. Despite a slight price increase to around $2,964, the sustained outflows are keeping traders nervous, with a key support level at $2,500 potentially at risk. Interestingly, ETH held above $2,900, suggesting retail or on-chain buyers may be absorbing the selling pressure. Bitcoin ETFs also saw substantial outflows of $1.538 billion, indicating broader institutional de-risking. Both BTC and ETH have RSI below 50, signaling bearish momentum, though a potential reversal may be emerging. In contrast, XRP ETFs have shown consistent inflows, reflecting strong institutional confidence.

While many investors hope for a “Santa Claus Rally,” Ethereum ETFs have seen the opposite this December.

Since 11 December, they’ve been stuck in a steady outflow cycle, losing $853.9 million in two weeks as per Farside Investors. Only on 22 December did ETH ETFs see positive inflows of $84.6 million.

Here, the biggest surprise was BlackRock’s ETHA since it unexpectedly led the outflows – A sign that even the strongest institutional players pulled back as the holidays approached.

Ethereum’s price action

Even though Ethereum [ETH] and Bitcoin [BTC] prices rose slightly over the last 24 hours, institutions appear to be de-risking or locking in tax losses before the year ends.

Ethereum was trading at around $2,964 at press time, but the pressure from huge ETF outflows may be keeping traders nervous.

The key level to watch is $2,500.

If outflows continue at the same pace, this important support level could be tested.

Interestingly, despite the outflows, ETH was holding on to $2,900 on the price charts – A sign that retail traders or large on-chain buyers may be absorbing the selling from ETFs.

Was Bitcoin an exception?

On the other hand, Bitcoin ETFs have also faced a tough month, on an even bigger scale than Ethereum.

Since 11 December, they have recorded $1.538 billion in outflows, showing a clear and sustained pullback from institutional investors.

Only two days broke this trend.

12 December saw a modest $49.1 million in inflows. 17 December too saw inflows of over $457.3 million.

Despite these brief moments of strength, however, the overall picture suggested that major players have been steadily withdrawing capital throughout December.

In fact, thanks to this selling spree and other multiple factors, Bitcoin was down and trading at $88,514.79 at press time. .

A technical PoV

Despite their insignificant price gains, the Relative Strength Index (RSI) for both BTC and ETH was still below 50 at press time.

This suggested that bearish momentum is still strong in the short term.

However, both the RSIs moving north could be early signs of a bullish divergence. To put it simply, a potential trend reversal might be incoming.

What to expect in 2026?

As we approach 2026, Bitcoin and Ethereum are each following their own distinct paths.

On the contrary, Ripple [XRP] has stood out as the most consistent performer in the ETF space, recording daily inflows and pushing net assets above $1.16 billion.

The scale of this steady demand is evidence of strong institutional confidence in XRP’s regulatory position and long-term outlook. As it stands, both ETH and BTC seem unable to reach that level of confidence.


Final Thoughts

  • ETH’s ability to hold above $2,900, despite $853M in outflows, suggests strong retail or on-chain whale absorption.
  • Bitcoin’s $1.5 billion ETF exodus has been even more alarming – A sign that institutional pressure may be industry-wide.

Domande pertinenti

QWhat has been the trend for Ethereum ETF flows since December 11th, and what was the one exception?

ASince December 11th, Ethereum ETFs have been in a steady outflow cycle, losing $853.9 million in two weeks. The one exception was on December 22nd, when they saw positive inflows of $84.6 million.

QAccording to the article, what is the key price level to watch for Ethereum, and why might it be tested?

AThe key price level to watch for Ethereum is $2,500. This important support level could be tested if the significant ETF outflows continue at the same pace.

QHow did Bitcoin ETF flows in December compare to those of Ethereum?

ABitcoin ETFs faced an even larger scale of outflows than Ethereum, recording $1.538 billion in outflows since December 11th, showing a major pullback from institutional investors.

QWhat did the Relative Strength Index (RSI) for both BTC and ETH suggest about the market momentum at the time of writing?

AThe RSI for both BTC and ETH was still below 50, suggesting that bearish momentum was still strong in the short term, though their movement north could be an early sign of a potential bullish divergence.

QWhich cryptocurrency's ETF was highlighted as a consistent performer with strong institutional confidence, and what was its net asset value?

ARipple (XRP) was highlighted as the most consistent performer, recording daily inflows and pushing its ETF net assets above $1.16 billion, evidence of strong institutional confidence.

Letture associate

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.

marsbit6 h fa

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

marsbit6 h fa

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.

marsbit8 h fa

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

marsbit8 h fa

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.

marsbit8 h fa

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

marsbit8 h fa

Trading

Spot
Futures

Articoli Popolari

Come comprare CC

Benvenuto in HTX.com! Abbiamo reso l'acquisto di CC(Canton) (CC) semplice e conveniente. Segui la nostra guida passo passo per intraprendere il tuo viaggio nel mondo delle criptovalute.Step 1: Crea il tuo Account HTXUsa la tua email o numero di telefono per registrarti il tuo account gratuito su HTX. Vivi un'esperienza facile e sblocca tutte le funzionalità,Crea il mio accountStep 2: Vai in Acquista crypto e seleziona il tuo metodo di pagamentoCarta di credito/debito: utilizza la tua Visa o Mastercard per acquistare immediatamente CC(Canton)CC.Bilancio: Usa i fondi dal bilancio del tuo account HTX per fare trading senza problemi.Terze parti: abbiamo aggiunto metodi di pagamento molto utilizzati come Google Pay e Apple Pay per maggiore comodità.P2P: Fai trading direttamente con altri utenti HTX.Over-the-Counter (OTC): Offriamo servizi su misura e tassi di cambio competitivi per i trader.Step 3: Conserva CC(Canton) (CC)Dopo aver acquistato CC(Canton) (CC), conserva nel tuo account HTX. In alternativa, puoi inviare tramite trasferimento blockchain o scambiare per altre criptovalute.Step 4: Scambia CC(Canton) (CC)Scambia facilmente CC(Canton) (CC) nel mercato spot di HTX. Accedi al tuo account, seleziona la tua coppia di trading, esegui le tue operazioni e monitora in tempo reale. Offriamo un'esperienza user-friendly sia per chi ha appena iniziato che per i trader più esperti.

273 Totale visualizzazioniPubblicato il 2026.04.21Aggiornato il 2026.04.21

Come comprare CC

Come comprare BLEND

Benvenuto in HTX.com! Abbiamo reso l'acquisto di Fluent (BLEND) semplice e conveniente. Segui la nostra guida passo passo per intraprendere il tuo viaggio nel mondo delle criptovalute.Step 1: Crea il tuo Account HTXUsa la tua email o numero di telefono per registrarti il tuo account gratuito su HTX. Vivi un'esperienza facile e sblocca tutte le funzionalità,Crea il mio accountStep 2: Vai in Acquista crypto e seleziona il tuo metodo di pagamentoCarta di credito/debito: utilizza la tua Visa o Mastercard per acquistare immediatamente FluentBLEND.Bilancio: Usa i fondi dal bilancio del tuo account HTX per fare trading senza problemi.Terze parti: abbiamo aggiunto metodi di pagamento molto utilizzati come Google Pay e Apple Pay per maggiore comodità.P2P: Fai trading direttamente con altri utenti HTX.Over-the-Counter (OTC): Offriamo servizi su misura e tassi di cambio competitivi per i trader.Step 3: Conserva Fluent (BLEND)Dopo aver acquistato Fluent (BLEND), conserva nel tuo account HTX. In alternativa, puoi inviare tramite trasferimento blockchain o scambiare per altre criptovalute.Step 4: Scambia Fluent (BLEND)Scambia facilmente Fluent (BLEND) nel mercato spot di HTX. Accedi al tuo account, seleziona la tua coppia di trading, esegui le tue operazioni e monitora in tempo reale. Offriamo un'esperienza user-friendly sia per chi ha appena iniziato che per i trader più esperti.

184 Totale visualizzazioniPubblicato il 2026.04.24Aggiornato il 2026.04.24

Come comprare BLEND

Come comprare ACN

Benvenuto in HTX.com! Abbiamo reso l'acquisto di AITECH CLOUD NETWORK (ACN) semplice e conveniente. Segui la nostra guida passo passo per intraprendere il tuo viaggio nel mondo delle criptovalute.Step 1: Crea il tuo Account HTXUsa la tua email o numero di telefono per registrarti il tuo account gratuito su HTX. Vivi un'esperienza facile e sblocca tutte le funzionalità,Crea il mio accountStep 2: Vai in Acquista crypto e seleziona il tuo metodo di pagamentoCarta di credito/debito: utilizza la tua Visa o Mastercard per acquistare immediatamente AITECH CLOUD NETWORKACN.Bilancio: Usa i fondi dal bilancio del tuo account HTX per fare trading senza problemi.Terze parti: abbiamo aggiunto metodi di pagamento molto utilizzati come Google Pay e Apple Pay per maggiore comodità.P2P: Fai trading direttamente con altri utenti HTX.Over-the-Counter (OTC): Offriamo servizi su misura e tassi di cambio competitivi per i trader.Step 3: Conserva AITECH CLOUD NETWORK (ACN)Dopo aver acquistato AITECH CLOUD NETWORK (ACN), conserva nel tuo account HTX. In alternativa, puoi inviare tramite trasferimento blockchain o scambiare per altre criptovalute.Step 4: Scambia AITECH CLOUD NETWORK (ACN)Scambia facilmente AITECH CLOUD NETWORK (ACN) nel mercato spot di HTX. Accedi al tuo account, seleziona la tua coppia di trading, esegui le tue operazioni e monitora in tempo reale. Offriamo un'esperienza user-friendly sia per chi ha appena iniziato che per i trader più esperti.

95 Totale visualizzazioniPubblicato il 2026.04.28Aggiornato il 2026.04.28

Come comprare ACN

Discussioni

Benvenuto nella Community HTX. Qui puoi rimanere informato sugli ultimi sviluppi della piattaforma e accedere ad approfondimenti esperti sul mercato. Le opinioni degli utenti sul prezzo di A A sono presentate come di seguito.

活动图片