How Bitcoin and Ethereum absorbed $500 mln last week – Without a rally

ambcryptoPubblicato 2025-12-15Pubblicato ultima volta 2025-12-15

Introduzione

Bitcoin and Ethereum spot ETFs recorded over $500 million in net inflows between December 8th and 12th, yet both cryptocurrencies showed almost no price movement during that period. Bitcoin ETFs attracted $287 million, largely driven by BlackRock’s IBIT, while Ethereum ETFs saw $209 million in inflows, led by products from BlackRock and Fidelity. Despite this steady institutional demand, Bitcoin traded around $89,600, down 2.16% for the week, and Ethereum hovered near $3,127, dipping just 0.23%. The market’s muted reaction is attributed to several factors: traders had priced in a Federal Reserve rate cut in advance, Bitcoin faced strong resistance near the $92K–$94K range, and overall risk sentiment remained cautious. ETF-driven demand appears to be more focused on strategic, long-term allocation rather than short-term speculation. Bitcoin ETFs now hold approximately $118.3 billion in net assets, and Ethereum ETFs manage around $19.4 billion, indicating significant capital commitment. The disconnect between steady inflows and flat prices suggests that price is no longer an immediate indicator of demand. If inflows continue with low volatility, the next significant price move could be sudden and unexpected as ownership shifts quietly.

Bitcoin and Ethereum just had a strong week on paper, but you wouldn’t know it by looking at prices.

Between the 8th and 12th of December, Bitcoin and Ethereum spot ETFs combined pulled in a little more than $500 million in net inflows! And yet, both assets barely budged.

It’s strange. Steady money is coming in, yet prices are going nowhere.

ETF money kept coming, prices didn’t

Source: Farside Investors

Between the 8th and 12th of December, Bitcoin ETFs recorded $287 million in net inflows, led largely by BlackRock’s IBIT, which saw consistent daily additions despite a few mixed sessions.

Source: Farside Investors

Ethereum ETFs followed a similar pattern, posting $209 million in weekly inflows, with BlackRock’s ETHA and Fidelity’s FETH leading the demand.

Source: CoinMarketCap

However, Bitcoin [BTC] traded near $89.6K, down 2.16% on the week, with a market cap of roughly $1.78 trillion.

Ethereum [ETH] traded around $3,127, slipping just 0.23% over the week, with a market value close to $377 billion.

The market is absorbing capital with steady ETF buying, calmer price moves, and no rush from traders on either side.

Why did prices stay flat?

Market forces kept Bitcoin and Ethereum prices largely range-bound. Traders were still digesting a Federal Reserve rate cut that failed to spark a rally, as the move had already been fully priced in.

Bitcoin also struggled to break resistance around the $92K-$94K range, keeping prices capped. Risk sentiment remained cautious into early December.

As a result, Bitcoin traded at nearly $90,000 throughout the week and Ethereum traded between $3.1K to 3.2K. ETF demand is increasingly centered around longer-term allocation than impulse.

2025 in ETFs

Bitcoin and Ethereum ETFs have continued to grow steadily despite long stretches of flat or declining prices.

Source: SoSoValue

Bitcoin spot ETFs now hold about $118.3 billion in total net assets, while Ethereum ETFs sit near $19.4 billion, so there’s strong capital commitment.

Source: SoSoValue

Even in weeks like the latest one, price barely reacted. That disconnect means that price is no longer the immediate feedback loop for demand.

If inflows remain steady with subdued volatility, the next move may surprise you. Ownership will have shifted hands while the market looked elsewhere.


Final Thoughts

  • $500M+ in Bitcoin and Ethereum ETF inflows met flat prices this last week.
  • When ownership shifts without chaos, the next Bitcoin and Ethereum move often comes fast and unexpected.
Next: Is Bitcoin done dumping? What BTC accumulation trends say
Share
  • Share
  • Tweet

Crypto di tendenza

Letture associate

Ethereum's Next Decade in the Eyes of Vitalik

"Lean Ethereum" Long-Term Roadmap Unveiled by Vitalik Buterin On July 5, 2026, Vitalik Buterin published the "Lean Ethereum" roadmap, positioning it as Ethereum's third major evolution following the Merge. This multi-year, multi-phase upgrade aims to fundamentally transform Ethereum's core protocol through staged network upgrades extending to 2029. Key goals include achieving 1 gigagas per second L1 throughput (a massive increase from the current ~32 TPS), near-instant finality, and quantum-resistant cryptography. The plan involves transitioning Ethereum's security model from full transaction re-execution by all nodes to native verification via recursive STARK proofs. A major proposed change is replacing the EVM with a proof-friendly architecture like RISC-V or leanISA, though this remains a point of contention, especially with L2s like Arbitrum favoring alternatives like WASM. Other planned upgrades include a restructured state model with a large, cheap "warehouse" storage layer to drastically reduce fees for migrated applications, multi-dimensional gas pricing, and a new focus on making privacy a first-class, native protocol feature. While the roadmap significantly raises Ethereum's long-term technical ceiling, analysts note it does not directly address ETH's mid-term token economics or value capture. The plan's multi-year timeline means near-term price impact will likely depend on observable progress milestones, such as the successful deployment of the upcoming Glamsterdam gas limit increase, growth in L2 activity and blob usage, and trends in L1 fee revenue and ETH burn.

链捕手42 min fa

Ethereum's Next Decade in the Eyes of Vitalik

链捕手42 min fa

In Just 11 Days, Claude Rewrote Millions of Lines of Code, an Epic AI Engineering Feat Sparks Fury

In just 11 days, Bun's founder Jarred Sumner used Anthropic's Claude AI models to rewrite its million lines of code from Zig to Rust. This move sparked significant controversy, particularly from Zig's creator, Andrew Kelley, who publicly criticized Sumner's engineering practices and the decision to use AI for such a massive rewrite. Bun, a high-performance JavaScript/TypeScript runtime and rival to Node.js, was originally written in Zig. After Anthropic acquired Bun, the team encountered persistent stability and memory safety bugs in the Zig codebase. These issues, combined with Zig's strict policy against LLM-generated code, led to the decision to rewrite in Rust. The rewrite was executed using Claude AI tools at an estimated API cost of $165,000, dramatically reducing the expected time and financial cost. Andrew Kelley's response was scathing. He blamed the original bugs on poor engineering habits, calling Bun's Zig code a collection of "hacks on top of hacks." He expressed relief that Bun was no longer associated with Zig, fearing it would misrepresent the language and attract low-quality, AI-generated contributions. The tech community is divided; some view Kelley's critique as unprofessional, while others see it as a defense of engineering integrity. A major concern about the AI-driven rewrite is the resulting code quality. The translation from Zig left approximately 27,000 lines of unsafe Rust code, raising fears about long-term maintainability and technical debt. The debate centers on whether this project is a milestone in AI-assisted development or a future maintenance nightmare.

marsbit1 h fa

In Just 11 Days, Claude Rewrote Millions of Lines of Code, an Epic AI Engineering Feat Sparks Fury

marsbit1 h fa

From Auto Finance to Bitcoin to AI Engines: An Analysis of Cango's 'What Not to Do' Strategy

From Auto Finance to Bitcoin and Now AI: Cango's "What Not to Do" Strategy Cango, a Chinese auto finance platform that went public on the NYSE in 2018, is undergoing its third major transformation. After selling its entire auto business in 2024, it pivoted to become a large-scale Bitcoin miner, acquiring 50 exahash of mining rigs from Bitmain. However, its true goal was never Bitcoin, but owning and controlling energy infrastructure. Now, Cango is pivoting again. While most listed Bitcoin miners are leasing power to giant hyperscalers for AI training clusters, Cango is taking the opposite path. It has launched an AI inference subsidiary called EcoHash, focusing not on training but on distributed inference. The company's strategy hinges on the insight that over 70% of mining industry power is controlled by small, independent sites (10-50 MW), which are too small for hyperscalers but ideal for low-latency AI inference. Cango aims to partner with these small operators, providing the AI technology, customers, and financing through its EcoLink software layer, which can distribute workloads across sites for reliability. Cango maintains a hybrid model, running roughly 31.7 EH/s of Bitcoin mining for cash flow while aggressively cleaning its balance sheet—slashing long-term debt by 94.5% to $30.6 million and raising $75 million for its AI venture. Its first AI deployment will be at a 50 MW site in Georgia. The strategy faces skepticism, given the high costs of converting mining sites and the potential for an AI bubble. However, Cango's leadership believes discipline around "what not to do"—avoiding direct competition with hyperscalers in training—positions it to capture the long-tail demand for distributed AI inference power.

Foresight News2 h fa

From Auto Finance to Bitcoin to AI Engines: An Analysis of Cango's 'What Not to Do' Strategy

Foresight News2 h fa

Strategy's Bitcoin Sales Cap Far Exceeds $1.25 Billion: A Detail the Market Overlooked

The article discusses how MicroStrategy's potential Bitcoin sales go far beyond the announced $1.25 billion "reserve-building capacity." It clarifies a key distinction in the company's "BTC Monetization Program": selling Bitcoin to *build* a new dollar reserve (the $1.25B cap) versus selling to *replenish* the existing USD Reserve after it's used for expenses like preferred share dividends. The recent $216M BTC sale for dividend payments was a "replenishment," leaving the headline $1.25B building quota untouched. The plan actually outlines three potential funding pools from BTC sales: 1) Building the reserve ($1.25B cap), 2) Covering preferred share/ debt costs (no specified cap), and 3) Funding buyback programs (up to $20B). This means the structured sales potential exceeds $30 billion, not including uncapped replenishment sales. The piece argues this marks MicroStrategy's shift from a passive "buy-and-hold" Bitcoin proxy to an actively managed entity using BTC as a balance-sheet tool to manage its complex capital structure (common stock, preferred shares, debt, reserve). This creates new dynamics and potential conflicts, as actions benefiting one part (e.g., selling BTC to pay dividends) may pressure another (e.g., undermining the "never sell" narrative). Investors must now parse the company's specific terminology ("build" vs. "replenish") to understand the true scope of future BTC sales, which is significantly larger than the market initially perceived.

marsbit2 h fa

Strategy's Bitcoin Sales Cap Far Exceeds $1.25 Billion: A Detail the Market Overlooked

marsbit2 h fa

Goldman Sachs Report Deconstructs the Competitive Landscape of China's AI Large Models: Who Will Be the Long-Term Winner?

Goldman Sachs analyzes China's AI large language model (LLM) landscape, identifying key players and a strategic shift towards efficiency and global expansion. The report highlights that Chinese open-source/open-weight models are closing the performance gap with top global proprietary models at significantly lower cost, driven by architectural innovations like MoE. This enables a "two-tier" market: a high-end segment (e.g., GLM5.2, Qwen3.7 Max) with pricing at ~$1 per million tokens, and a low-end, price-sensitive global segment. Open-source strategies aid adoption but limit monetization, as deployments via third-party platforms (e.g., AWS Bedrock, Alibaba Cloud) may not generate direct revenue for model creators. The industry is thus moving towards "open-weight + community license" models with revenue-sharing to improve unit economics. Internationally, the focus is shifting from "token maximization" to ROI-driven enterprise adoption, particularly in non-U.S. markets. Major cloud platforms are integrating Chinese models (e.g., DeepSeek, MiniMax). Using a competitive framework based on pricing power, cost advantage, and financial strength, Goldman Sachs identifies **Zhipu AI** and **DeepSeek** as leaders in foundational text models, and **ByteDance** (with Seedance) leading in multimodal/video generation. **MiniMax** and **Kuaishou** are also rated favorably. The firm forecasts China's AI model API/subscription revenue growing from ~RMB 35bn (2026E) to RMB 879bn by 2030.

marsbit2 h fa

Goldman Sachs Report Deconstructs the Competitive Landscape of China's AI Large Models: Who Will Be the Long-Term Winner?

marsbit2 h fa

Trading

Spot

Articoli Popolari

Come comprare O

Benvenuto in HTX.com! Abbiamo reso l'acquisto di O1 exchange (O) 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 O1 exchangeO.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 O1 exchange (O)Dopo aver acquistato O1 exchange (O), conserva nel tuo account HTX. In alternativa, puoi inviare tramite trasferimento blockchain o scambiare per altre criptovalute.Step 4: Scambia O1 exchange (O)Scambia facilmente O1 exchange (O) 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.

77 Totale visualizzazioniPubblicato il 2026.06.19Aggiornato il 2026.06.29

Come comprare O

Come comprare PROS

Benvenuto in HTX.com! Abbiamo reso l'acquisto di Pharos (PROS) 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 PharosPROS.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 Pharos (PROS)Dopo aver acquistato Pharos (PROS), conserva nel tuo account HTX. In alternativa, puoi inviare tramite trasferimento blockchain o scambiare per altre criptovalute.Step 4: Scambia Pharos (PROS)Scambia facilmente Pharos (PROS) 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.

69 Totale visualizzazioniPubblicato il 2026.06.22Aggiornato il 2026.06.29

Come comprare PROS

Cosa è VERONA

I. Introduzione al Progetto VERONA è una blockchain costruita per tutti, ovunque attraverso l'astrazione della catena. Utilizzando il suo livello di astrazione generalizzato, VERONA si distingue integrando funzionalità blockchain complesse, come conti, firme e interoperabilità, direttamente a livello di protocollo. Questo approccio consente di interagire con le applicazioni blockchain senza la necessità di comprendere le tecnologie sottostanti.1) Informazioni di Base Nome:VERONA(VERONA)III. Link Correlati Link al sito ufficiale:https://xion.burnt.com/ Whitepaper:https://xion.burnt.com/whitepaper.pdf Esploratori:https://explorer.burnt.com/ Social Media: https://x.com/burnt_xion Nota: L'introduzione al progetto proviene dai materiali pubblicati o forniti dal team ufficiale del progetto, che è solo a scopo di riferimento e non costituisce consulenza per investimenti. HTX non si assume responsabilità per eventuali perdite dirette o indirette risultanti.

102 Totale visualizzazioniPubblicato il 2026.06.22Aggiornato il 2026.06.22

Cosa è VERONA

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