Активность сети биткоина упала до минимума за год

cryptonews.ruPublicado em 2020-05-07Última atualização em 2025-02-07

Сетевой индекс активности биткоина (CryptoQuant Network Activity Index) опустился до отметки 3760, что стало самым низким значением с февраля 2024 года. С ноября прошлого года показатель упал на 15%, что может указывать на снижение интереса к сети и осторожность инвесторов перед ключевыми событиями на рынке.

Аналитики CryptoQuant обратили внимание на то, что последний раз индекс снижался еще сильнее только в июле 2021 года. Тогда показатель упал на 27% после запрета майнинга в Китае, что привело к временному спаду в сети Bitcoin. Сейчас уменьшение активности происходит без явных внешних причин, что делает ситуацию более неопределенной.

Индекс сетевой активности учитывает количество транзакций, активных адресов и объемов перемещения средств внутри сети. Его снижение ниже 365-дневной скользящей средней может сигнализировать о замедлении фундаментальной активности в сети Биткоина. Это может привести к падению волатильности и постепенному охлаждению рынка.

Некоторые эксперты связывают падение индекса с ожиданием будущих действий администрации президента США Дональда Трампа и Комиссии по ценным бумагам и бирижам США (SEC) в отношении регулирования криптовалют. Инвесторы могли стать менее активными, предпочитая накапливать биткоины в ожидании возможного роста цены, при благоприятных новостях.

Тем не менее, несмотря на замедление показателей, долгосрочные метрики биткоина остаются устойчивыми. Количество крупных держателей (китов) не уменьшается, а институциональные инвестиции продолжают расти. Это говорит о том, что падение активности может быть временным явлением. Если индекс продолжит снижаться, это вполне может привести к временному спаду интереса к биткоину и уменьшению торговой активности на рынке. Однако если исторические тренды повторятся, после периода затишья может последовать новый рост.

Ошибка в тексте? Выделите её мышкой и нажмите Ctrl + Enter

Leituras Relacionadas

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

**"WeChat AI Card" Practical Test Guide: Has the Era of AI Shopping Arrived?** WeChat has officially launched the "AI Exclusive Card," a feature integrated into its Workbuddy AI assistant. This card is designed to handle payments for AI-initiated purchases. Our hands-on test reveals it's not yet a tool for fully autonomous AI shopping, but rather a controlled payment layer for AI agents. The AI Card functions as an isolated sub-wallet within WeChat Pay. Users must bind the card and transfer funds into it from their main wallet. Crucially, every transaction requires explicit user confirmation via smartphone scan; AI cannot spend autonomously. Currently accessible through the Workbuddy agent, the card targets specific digital consumption scenarios: purchasing paid content (reports, data), calling paid APIs/tools, and subscribing to services. Its design prioritizes security and control by separating funds and mandating approval for each payment. We tested a real-world scenario: ordering bubble tea via Workbuddy using a "Meituan Life Assistant" skill. The process encountered multiple hurdles: high "skill" usage costs (exceeding daily free credits), and most importantly, while a payment was successfully initiated, the AI purchased an incorrect product (a mismatched group-buy coupon instead of the desired drink). This highlights the current limitation: the **AI Card only solves the payment step**. The broader challenge lies in the **AI agent's execution chain**—accurately understanding intent, navigating third-party platforms, selecting the right product, and ensuring proper fulfillment. The payment succeeded, but the purchase failed to meet the user's need. In conclusion, the WeChat AI Exclusive Card is a cautious, early-step experiment in AI commerce. It provides a secure, user-controlled payment method for agent interactions but is not yet capable of reliable, end-to-end complex purchases. For now, it's best used for low-value, low-risk digital services with careful user verification at each step. The vision of AI handling complete shopping tasks remains a work in progress.

marsbitHá 43m

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

marsbitHá 43m

Deconstructing Notion's Growth: From a Note-taking Tool to 100 Million Users—How Notion Built a Triple Growth Flywheel Through Product, Templates, and Community

Notion's growth from a niche note-taking tool to a platform with 100 million users is powered by three interconnected flywheels: Product-Led Growth (PLG), a Template Economy, and Community-Driven Growth. First, Notion's PLG strategy relies on a highly flexible, "plastic" product that users can adapt to countless personal and team workflows. Its freemium model lowers the barrier to entry, while features like page sharing and collaboration drive organic, usage-based viral growth as users naturally invite others. Second, the Template Economy solves the "blank page" problem. Templates, created by both Notion and its community, transform abstract product capabilities into concrete, copyable solutions for specific scenarios (e.g., project management, content calendars). This dramatically lowers activation costs for new users and fuels SEO-driven discovery. Third, a vibrant Community acts as a distributed growth engine. Users and official Ambassadors create tutorials, share use cases, and host local events. This community not only educates users but also fosters a sense of identity around pursuing "better ways of working," strengthening loyalty and enabling global, low-cost expansion. Together, these flywheels create a self-reinforcing ecosystem: a great product attracts users who create templates and community content, which in turn attracts more users and deepens engagement. This system allowed Notion to scale from individuals to teams and enterprises through a bottom-up adoption path. Looking ahead, AI integration promises to accelerate these flywheels further by making templates smarter and the platform a potential AI-native work operating system. Ultimately, Notion's defensible advantage is not just its features, but this deeply entrenched network of user assets, creators, and community trust.

marsbitHá 43m

Deconstructing Notion's Growth: From a Note-taking Tool to 100 Million Users—How Notion Built a Triple Growth Flywheel Through Product, Templates, and Community

marsbitHá 43m

$10 Billion, Qualcomm to Acquire Chip Legend Jim Keller's Company

Global mobile chip giant Qualcomm is in advanced talks to acquire AI chip startup Tenstorrent in a deal valued between $8-10 billion, according to media reports. This potential acquisition would be one of the largest in the AI chip sector in recent years. Tenstorrent, led by legendary chip architect Jim Keller, has gained prominence for its RISC-V architecture and AI accelerator designs. The move highlights Qualcomm's strategic push to diversify beyond its core smartphone chip business. As the smartphone market matures, Qualcomm is aggressively targeting growth in automotive, data center, and cloud AI. Acquiring Tenstorrent would allow Qualcomm to rapidly enter the high-end AI computing market, bypassing lengthy in-house development cycles. Tenstorrent's cost-effective system architecture, which avoids expensive HBM memory and relies on standard Ethernet for clustering, offers a potential alternative to Nvidia's costly solutions. Furthermore, Tenstorrent's high-performance RISC-V CPU technology and its focus on the automotive and edge computing segments align with Qualcomm's strategic goals, including its "Snapdragon Digital Chassis" platform. Despite the strategic rationale, the high valuation has sparked some investor caution. The successful integration of Tenstorrent's open-source culture and independent team into Qualcomm's organization, along with the commercialization of its technology, remains a key challenge.

marsbitHá 1h

$10 Billion, Qualcomm to Acquire Chip Legend Jim Keller's Company

marsbitHá 1h

Trading

Spot
Futuros
活动图片