Криптовалюта Cardano просела на 11% в медвежьей торговле с откатом

investing.ruPublished on 2025-01-19Last updated on 2025-01-19

Investing.com - Криптовалюта Cardano в 02:33 (23:33 GMT) в воскресеньеторговалась по цене $0,9780 по данным индекса Investing.com, опустившись на 11,45% в этот день. Это было самое значительное падение стоимости криптовалюты начиная с с 9 декабря 2024 г..

Падение спровоцировало также сокращение рыночной капитализации Cardano до $35,0412B, или 1,00% от общей капитализации всех криптовалют. В то время как ранее на пиках капитализация Cardano составляла $94,8001B.

В течение последних 24 часов Cardano  торговался в пределах от $0,9715 до $1,1508.

За последние 7 дней криптовалюта Cardano ощущала рост курса в пределах выросли с целевой цены 3,38%. Объем валюты Cardano, торгуемый в последние 24 часа до момента публикации данного материала, составлял $2,8250B или 0,98% от общего объема всех криптовалют. Курс варьировался в промежутке от $0,8845 до $1,1661 в последние 7 дней.

В данный момент Cardano упал с максимума в , установленного.

Тем временем прочие криптовалюты

Криптовалюта Биткоин в последний раз торговалась на уровне $99.896,0, по данным индекса Investing.com, снизились на 4,37% в течение дня.

Эфириум торговалась $3.195,11 , по данным индекса Investing.com,  падение от 3,82%.

Рыночная капитализация Биткоин  – $2.001,6043B или 57,23% от всей капитализации криптовалют, тогда как рыночная капитализация Эфириум –$384,5872B или 11,00% общей капитализации крипторынка.

Trending Cryptos

ctr
CitreaCTR
wstusdt
wrapped stUSDTWSTUSDT
apr
aPrioriAPR
ctx
Cryptex FinanceCTX
audio
AudiusAUDIO
mantra
MantraMANTRA
xvs
VenusXVS
waxl
AxelarWAXL
bill
Billions NetworkBILL
pyth
PYTH (Pyth)PYTH
rune
THORChainRUNE
velodrome
Velodrome FinanceVELODROME
brev
BrevisBREV
zrx
ZRX（0X）ZRX
cake
PancakeSwapCAKE

Related Reads

Karpathy's Genius Strikes Again, Challenging RAG, Turning Your Notes into a Second Brain

Andrej Karpathy has proposed a revolutionary concept for managing personal knowledge: treating notes as immutable "source code" and using LLMs as "compilers" to build a structured, interlinked wiki. This approach fundamentally shifts the cognitive workflow away from the limitations of RAG (Retrieval-Augmented Generation), which merely retrieves and pieces together fragments, leading to contradictions and "digital mummies"—unused, decaying notes. The LLM-Wiki framework introduces a three-layer architecture: the **Raw Layer** for original, immutable notes; the **Schema Layer** defining rules for structuring knowledge; and the **Wiki Layer**, where the LLM continuously compiles and maintains a coherent, cross-referenced knowledge base. Key operations are **Ingest** (adding new material, which triggers updates across related pages), **Query** (asking the compiled wiki, with answers that can become new pages), and **Lint** (periodic AI audits to find contradictions, outdated claims, or gaps). This system automates the tedious maintenance—updating links, resolving conflicts, keeping summaries fresh—that has historically made large-scale personal knowledge management unsustainable. It realizes Vannevar Bush's 1945 "Memex" vision by finally solving the maintenance problem. Karpathy's proposal represents a third piece in human-AI collaboration, following "Vibe Coding" and "Agentic Engineering." It liberates human attention from organizational drudgery, refocusing it on what matters: deciding what to read and deriving meaning.

marsbit4m ago

Karpathy's Genius Strikes Again, Challenging RAG, Turning Your Notes into a Second Brain

marsbit4m ago

Claude Science Completes Two Years' Work in a Few Weeks, Is 10x Research Acceleration Really Here?

Claude Science, a new AI workbench from Anthropic, is being tested by scientists, reportedly accelerating specific research workflows by up to 10x. A neuro-scientist at the Allen Institute completed a lengthy literature review in weeks instead of nearly two years using the tool, which automates tasks like citation verification. The platform is an integrated environment for macOS and Linux, connecting to local or remote computing resources. It streamlines the fragmented research process—literature analysis, computation, visualization, and drafting—into a single, auditable workflow. A key feature is its emphasis on reproducibility: every chart generated includes the exact code, environment, and history used to create it. Claude Science uses a multi-agent system. A coordinator manages over 60 pre-configured skills for life sciences (genomics, proteomics, etc.) and can spawn specialized agents. A dedicated reviewer agent checks citations and calculations for accuracy, creating a form of internal AI peer review. The system operates with a human-in-the-loop, requiring user approval for major steps. Initial applications are in life sciences. Examples include target identification for biotech company Manifold Bio and germline variant analysis for glioma research at UCSF, completing analyses in roughly one-tenth the previous time. The approach contrasts with competitors: Google focuses on proprietary models like AlphaFold, while OpenAI is advancing models' scientific reasoning with benchmarks like GeneBench-Pro. Claude Science differentiates by automating and integrating the practical research pipeline, not just the model's intelligence, aiming to make AI-aided science more reproducible and integrated into daily lab work.

marsbit8m ago

Claude Science Completes Two Years' Work in a Few Weeks, Is 10x Research Acceleration Really Here?

marsbit8m ago

The Invisible Force of Bitcoin's Bear Market: On-Chain Payments and Institutional Adoption Accelerate

Despite recent Bitcoin price volatility, adoption of on-chain payments and tokenized transactions by major traditional financial institutions is accelerating, driven by discussions around regulatory clarity, such as the CLARITY Act. This trend is enhancing transparency, traceability, and error-correction capabilities—key features expected in modern payment systems. A significant development is the push for standardized blockchain analytics, moving beyond simple transparency to provide interpretable and defensible data for institutions and policymakers. Major banks like JPMorgan Chase support digital asset innovation but emphasize that assets should be regulated based on their economic function (e.g., tokenized securities as securities). Furthermore, the growth of on-chain deposit solutions within regulated banks highlights a shift towards modernizing traditional banking infrastructure—such as deposits, payments, and cross-border settlement—rather than merely creating speculative assets. Overall, the underlying evolution of crypto infrastructure continues to advance, potentially laying a more robust foundation for the industry's future.

marsbit9m ago

The Invisible Force of Bitcoin's Bear Market: On-Chain Payments and Institutional Adoption Accelerate

marsbit9m ago

GoMining Launches GoBTC Pay SDK to Expand Bitcoin Payments

GoMining has launched the GoBTC Pay Gen1 SDK and API, enabling merchants, wallet providers, and ecosystem partners to integrate Bitcoin payments. This release transforms the technology from a demo into an open infrastructure layer for building scalable Bitcoin payment experiences. An initial group of up to 10 partners will begin integration. The solution facilitates quick, non-custodial transactions that settle directly on the Bitcoin network, allowing users to retain custody of their BTC. It includes merchant tools, a dashboard, payment connectors, and public developer documentation. Powered by a private 15EH/s mempool, it aims for debit card-like speed with an average 12-hour settlement window. A 0.2% transaction fee is distributed equally between participating wallet providers and GoMining pool miners, aligning incentives to promote network growth. This launch is part of GoMining's broader strategy to expand real-world Bitcoin commerce for everyday purchases.

TheNewsCrypto43m ago

GoMining Launches GoBTC Pay SDK to Expand Bitcoin Payments

TheNewsCrypto43m ago

The Invisible Force in Bitcoin's Bear Market: Accelerating On-Chain Payments and Institutional Adoption

Amidst ongoing Bitcoin price volatility, the quiet acceleration of on-chain payments and tokenized trading holds significant importance for investors and policymakers, especially with legislation like the CLARITY Act on the horizon. Major traditional financial institutions adopting these technologies are driving crucial discussions on compliance, security, and transparency, which are vital for broader market adoption. Key developments are shaping this evolution. First, blockchain traceability is moving beyond a simple "public vs. private" debate. New frameworks aim to standardize how financial data from immutable ledgers is analyzed and interpreted, making it as crucial as standardized financial reporting for building institutional trust. Second, while traditional finance supports clear digital asset regulation, they emphasize that an asset's economic function should dictate its regulatory treatment, advocating for robust consumer protections over broad exemptions. Furthermore, the growth of on-chain deposits at regulated institutions signals a shift. Major banks are leveraging blockchain not to replace but to upgrade existing services—like deposits and cross-border settlements—with benefits like 24/7 operations and programmable treasury management. This trend focuses more on modernizing financial infrastructure than creating speculative assets. Despite market turbulence, these underlying advancements in on-chain infrastructure point toward a more robust foundation for the industry's future.

Foresight News56m ago

The Invisible Force in Bitcoin's Bear Market: Accelerating On-Chain Payments and Institutional Adoption

Foresight News56m ago

Trading

Spot

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of ADA (ADA) are presented below.

活动图片

Top Questions