Аналитики CryptoQuant сделали прогноз изменений на рынке эфира

cryptonews.ruPublicado em 2025-11-15Última atualização em 2025-11-23

Падение цены эфира до уровня поддержки $2800 может указывать на дно рыночного цикла, заявили специалисты онлайн-платформы анализа данных CryptoQuant. Крупные держатели второй по капитализации криптовалюты продолжают накопление актива, несмотря на снижение курса, обратили внимание эксперты.

Уровень в $2800 может снова стать основой для краткосрочного отскока эфира, надеются в CryptoQuant.

«Розничные кошельки продают, тогда как киты, которые держат более 10 000 ETH, продолжают покупать даже на фоне снижения цены. Это свидетельствует о явном перемещении предложения от краткосрочных трейдеров к более крупным долгосрочным холдерам — классический знак продолжающегося перераспределения», — объяснили аналитики.

Еще одним важным фактором специалисты CryptoQuant назвали сокращение числа ликвидаций лонг-позиций на падение цены актива ниже новых локальных минимумов. Это может указывать на постепенное уменьшение давления продаж криптовалюты из-за принудительных ликвидаций позиций трейдеров, предположили эксперты.

Дополнительным подтверждением постепенной стабилизации рынка они сочли уменьшение волатильности эфира. Сокращение резких колебаний цены свидетельствует: инвесторы начинают адаптироваться к сложившимся условиям и готовы удерживать позиции дольше. На фоне роста интереса крупных держателей это формирует более устойчивый фундамент для разворота рынка, уверены в CryptoQuant.

Если фондовые рынки продемонстрируют умеренный оптимизм, это станет дополнительным стимулом для восстановления доверия инвесторов к эфиру и возвращения части капитала в альткоины. В таком случае уровень $2800 может стать отправной точкой для возобновления роста эфира, сделали вывод аналитики.

Ранее в CryptoQuant сообщили, что после падения эфира ниже $3200 на рынок начали возвращаться крупные игроки и управляющие корпоративными фондами.

Leituras Relacionadas

Cardano’s ‘ghost chain’ label debunked? Why ADA’s 34 dApps don’t tell the full story

The article examines and refutes the "ghost chain" label sometimes applied to Cardano (ADA). While Cardano has significantly fewer dApps and lower transaction/user counts compared to leading Layer 1 chains like Ethereum and Solana, this is partly due to its unique Extended Unspent Transaction Output (EUTXO) model. This model batches transactions, improving security and determinism but potentially underrepresenting true on-chain activity. The piece acknowledges recent ecosystem challenges but highlights Cardano's strong development activity and its distinct focus on peer-reviewed research, security, and sustainability for institutional use. It concludes that while various chains occupy different niches, low activity metrics alone are insufficient to deem Cardano a "ghost chain."

ambcryptoHá 35m

Cardano’s ‘ghost chain’ label debunked? Why ADA’s 34 dApps don’t tell the full story

ambcryptoHá 35m

Bitmine’s Ethereum stash rises to $9.8B: ‘The best years for crypto remain ahead’

Bitmine Immersion Technologies significantly increased its Ethereum holdings, adding 27,084 ETH last week to reach a total of 5,700,040 ETH, valued at approximately $9.01 billion. This accumulation occurred despite a decline in ETH's price and net outflows from Ethereum ETFs. The article draws parallels between Bitmine and Michael Saylor's company, MicroStrategy, noting similar scrutiny over large crypto holdings and market volatility. However, Bitmine's Chairman Tom Lee remains optimistic, citing the company's strong financial position with substantial staking revenue, cash reserves, and recent inclusion in the Russell 1000 Index. He asserts that the best years for crypto are ahead, driven by tokenization and AI advancements.

ambcryptoHá 1h

Bitmine’s Ethereum stash rises to $9.8B: ‘The best years for crypto remain ahead’

ambcryptoHá 1h

UK FCA unveils crypto rulebook: Risk-based approach starts October 2027

UK's Financial Conduct Authority (FCA) has unveiled a new, risk-based regulatory framework for cryptoasset companies, set to take effect in October 2027. This approach moves away from rigid, uniform rules to a system where capital requirements and disclosure obligations will vary based on a firm's individual risk profile. Companies will conduct their own annual risk assessments and stress tests, subject to FCA review. The rules aim to lower compliance costs for smaller firms, boost market confidence, and attract millions of new UK crypto users. The framework also establishes baseline rules for stablecoin issuers, including consumer protections, while allowing for stricter oversight of larger, systemic players. FCA executives state the rules provide needed clarity, though experts caution that regulation reduces but does not eliminate consumer risks.

ambcryptoHá 2h

UK FCA unveils crypto rulebook: Risk-based approach starts October 2027

ambcryptoHá 2h

You Use Claude and Codex Every Day, but Meta Has Restricted Internal Use

In May, Meta imposed internal restrictions on its engineers regarding the use of Claude Code and Codex, two widely used AI programming tools. Despite being a major client, Meta's guidelines, still in effect, prohibit these external models from being used for specific tasks to prevent potential "escalations with partners." The core concern is "distillation"—the risk that outputs from Claude or Codex could inadvertently contaminate the training data and evaluation processes for Meta's in-house AI coding assistant, MetaCode. If MetaCode is trained or evaluated using data generated by these external models, it risks learning their capabilities rather than developing its own, blurring the line of intellectual origin. The restrictions are precise: engineers cannot use the external models to generate test questions, debug source code, or suggest test cases. AI-generated content is also barred from environments accessible to MetaCode. However, AI can still assist with peripheral tasks like workflow setup and code organization, provided all outputs are manually reviewed. This caution reflects a broader industry dilemma. While distillation is a common technique, using a competitor's model output for training raises legal and ethical questions about the ownership of derived capabilities. Contractual terms from companies like OpenAI and Anthropic explicitly forbid using their outputs to build competing products, putting enforcement power in the hands of rivals. The move is also financially motivated, as Meta seeks to reduce its hefty internal AI spending, estimated in the billions this year. Meta's policy illustrates the delicate balance companies must strike: leveraging powerful external AI tools while safeguarding the integrity and independence of their own AI development. As AI systems increasingly help build other AIs, distinguishing the origin of capabilities becomes a fundamental challenge for the entire industry.

marsbitHá 2h

You Use Claude and Codex Every Day, but Meta Has Restricted Internal Use

marsbitHá 2h

Why Do We Need an AI Content Perspective Today?

The article "Why Do We Need an AI Content Perspective Today?" explores the complex and often contentious integration of AI into the cultural and creative industries, particularly film and television. It begins with the cancellation of Amazon's AI-generated animation "Punky Duck," highlighting the ethical debates surrounding AI content. AI's rapid advancement is transforming video production, enabling cost-effective, full-length AI films (e.g., "RAPHAEL," "Dreams of Violets") while sparking industry resistance over issues like "synthetic actors." The core debate has shifted from whether to use AI to how to use it responsibly. The article analyzes why AI's entry into film is uniquely unsettling. It distinguishes between "cultural fast food" (short-form, fast-paced content like micro-dramas) and "cultural main courses" (traditional, long-form film/TV). AI currently excels at the former, matching its fragmented narratives, shallow emotional needs, and free-to-consumer models. However, venturing into the latter challenges the human-centric essence of storytelling—creativity, emotional depth, and the unique value of human labor and experience. While AI can generate massive volumes of content and lower costs, it risks devaluing human creativity, leading to homogenized output, and creating unfair competition through potential intellectual property infringement. Its efficiency also amplifies content safety risks, making preemptive governance crucial. To counter these risks, the article proposes establishing clear boundaries guided by a human-centered AI content perspective. It outlines four principles: 1) Amplify, rather than displace, human creative space; 2) Respect and protect human creative output; 3) Ensure human creative control and responsibility remain paramount; and 4) Guarantee transparency and traceability in AI creation. The conclusion emphasizes that humans must act as the "helmsmen" of technology, steering AI development to enhance, not replace, the core human values at the heart of cultural expression.

marsbitHá 2h

Why Do We Need an AI Content Perspective Today?

marsbitHá 2h

Trading

Spot
活动图片

Categorias popularesright-arrow

Etiquetas Popularesright-arrow