Аналитики зафиксировали рекордный объем «проснувшихся» биткоинов

cryptonews.ruPublicado a 2025-04-23Actualizado a 2025-10-24

Объем перемещенного с начала года цифрового золота, неактивного более семи лет, обновил исторический максимум. На это обратили внимание аналитики OnChainSchool.

В 2023 году показатель составил 59 000 BTC, в 2024 — 255 000; за неполный 2025 — 270 000.

«Все больше монет ранней эпохи приходят в движение», — подчеркнули исследователи.

Они назвали возможные причины происходящего:

  • старые майнеры перемещают долгосрочные резервы;
  • средства переводятся на новые холодные кошельки из соображений безопасности;
  • долгосрочные держатели продают часть монет на фоне высоких цен.

«Если тенденция сохранится, объем перемещенных монет в 2025 году превысит 300 000 BTC», — поделились прогнозом аналитики.

Ходлеры давят на цену

Ончейн-эксперт под ником Darkfost назвал наиболее беспокоящий его фактор в текущей рыночной ситуации:

«После пика в 14 000 BTC по реализованной прибыли долгосрочные держатели по-прежнему фиксируют сегодня около 12 000 BTC — показатель остается на высоком уровне».

Однако аналитик отметил, что показатель постепенно сокращается по мере развития цикла. На первом локальном пике он составлял 26 000 BTC, затем снизился до 24 000 BTC, а недавно опустился до 17 000 BTC.

Динамика прибыли, реализованной долгосрочными держателями биткоина. Источник: Darkfost.

В контексте краткосрочных перспектив эксперт допустил два возможных сценария:

  • сильный спрос, способный поглотить текущие продажи;
  • более глубокая коррекция, способная «нейтрализовать оставшееся давление со стороны продавцов».

В заключение Darkfost призвал внимательно следить за этой метрикой.

В свою очередь, аналитик Аксель Адлер – младший отметил снижение «спекулятивного натиска»:

«На бычьем рынке подобные значения совпадают с периодами накопления позиций перед новой фазой роста».

Bitcoin Heat Macro Phase has dropped into the Bottom / Accumulation zone, indicating a decrease in speculative pressure. In a bull market, such values coincide with periods of position accumulation before the next growth phase. To realize a rally, volatility needs to decrease and… pic.twitter.com/bdVMsI7RCA

— Axel 💎🙌 Adler Jr (@AxelAdlerJr) October 24, 2025

Для запуска ралли необходим спад волатильности и «отсутствие негативных факторов в мире хотя бы неделю», добавил эксперт.

Напомним, недавно киты продали 17 500 BTC на фоне падения рынка.

Трейдер: после еще одного падения цена биткоина превысит $125 000

Lecturas Relacionadas

Beyond the Model Lies the Harness: Deepseek Enters the Arena, Why Has the Main Battlefield of China's AI Competition Shifted?

In mid-to-late May 2026, Deepseek internally established a new Harness team focused on code agent products, internally benchmarked against Anthropic's Claude Code. This move, marked by the formula "Model + Harness = Agent" in their job postings, signals a major shift in China's AI competition: the main battlefield is transitioning from developing large models to building toolchains and achieving workplace integration. Deepseek's direct involvement in Harness development aims to secure control over interface design and training data feedback loops, moving beyond open-sourcing powerful models. Harness, the runtime infrastructure for AI agents, handles everything beyond model reasoning—task orchestration, tool calling, context management, safety checks, and error recovery. It is crucial because agent products are not just outputs of model capability but also training grounds for it. Real-world task failures recorded by Harness can feed back into model training, creating a flywheel effect. Engineering Harness is more critical than optimizing prompts, as poor context management or error handling can drastically reduce agent success rates in multi-step, real-world scenarios. This shift is not isolated. Other major Chinese tech companies are also pursuing differentiated toolchain strategies. Tencent leverages its enterprise ecosystem (WeChat Work, Tencent Cloud) to build connectors for organizational-level AI collaboration and complex task delivery. Alibaba focuses on lowering automation barriers on the web with a front-end, browser-based GUI Agent framework, PageAgent. This diversification shows the industry recognizes that success lies not in a perfect general agent, but in vertically focused solutions built with robust engineering. The trend is validated by overseas success, such as Poland's Viktor, an AI coworker on Slack achieving $20M ARR by autonomously executing complex, multi-step tasks. This proves a shift in enterprise willingness to pay—from "AI-assisted generation" to "AI-autonomous execution." As Harness matures to provide safety guards and reliability, AI transitions from a human-supervised intern to an independent outsourcer. The competition now faces key engineering challenges: preventing "token explosion" through intelligent context compression, and building "thick frameworks" with features like sandbox isolation and checkpoint recovery for enterprise-grade stability. Geopolitical restrictions on tools like Claude Code further create a significant market vacuum for domestic solutions like Deepseek's Harness. For enterprises and developers, the focus must shift from comparing model benchmarks to evaluating a vendor's engineering capabilities, error recovery mechanisms, context management, and ecosystem compatibility when choosing AI products and platforms.

marsbitHace 38 min(s)

Beyond the Model Lies the Harness: Deepseek Enters the Arena, Why Has the Main Battlefield of China's AI Competition Shifted?

marsbitHace 38 min(s)

Soaring Export Data for Memory Chips, Market Is Redefining the Valuation Anchor for Memory Stocks

Korean storage export data for the first 20 days of June shows substantial year-on-year increases in both value and price-per-kilogram for categories like DRAM, NAND, and SSDs. This signals a potential shift beyond simple demand recovery, indicating rising prices and a product mix shift towards higher-value items, possibly influenced by AI infrastructure needs. A key point is that the surge in price-per-kilogram is not simply a uniform chip price hike. It reflects a combination of actual price increases and, more importantly, an export structure increasingly dominated by high-value-density products like HBM (High-Bandwidth Memory) and advanced DRAM, which are critical for AI servers. This suggests AI-driven demand may be spilling over from just HBM into broader memory markets. SK Hynix stands to benefit directly due to its leading HBM position. For Samsung and Micron, the implication is potential for greater margin elasticity if the tightness in high-end memory spreads to enterprise SSD and NAND prices. However, the storage sector remains cyclical. Risks include supply expansion, inventory changes, and potential slowdowns in broader AI capital expenditure. Ultimately, while the strong export data supports upward revisions for storage company earnings and fuels discussion of an "AI infrastructure bottleneck premium," a definitive valuation shift from a cyclical to a structural story depends on upcoming quarterly reports. Investors need confirmation from SK Hynix, Samsung, and Micron that improvements in average selling prices, product mix, and, crucially,毛利率 are sustained over multiple quarters.

marsbitHace 2 hora(s)

Soaring Export Data for Memory Chips, Market Is Redefining the Valuation Anchor for Memory Stocks

marsbitHace 2 hora(s)

Trading

Spot
Futuros
活动图片