Криптовалютные киты собираются на падение: эти 3 альткоина были их целями

cryptonews.ruPublished on 2023-09-16Last updated on 2025-03-16

  • Solana привлекает внимание сильными фундаментальными показателями и растущей активностью DeFi.
  • Hyperliquid демонстрирует потенциал роста, при этом «киты» сохраняют сильные позиции, несмотря на распродажи.
  • Chainlink восстанавливается, киты накапливают токены и усиливают присутствие DeFi.

На прошлой неделе рынок криптовалют пострадал, но с тех пор киты воспользовались возможностью покупки. Когда биткоин упал ниже $80 000, альткоины Ethereum, Solana, XRP, Cardano, Dogecoin и Shiba Inu также потеряли деньги, что привело к тому, что крупные инвесторы («криптокиты») начали скупать альткоины. По данным AltcoinBuzz, их внимание привлекли три из них:

Солана: За пределами Робинхуда?

Объем торговли DeFi у Solana превысил объем торговли Robinhood, что является признаком того, что все больше трейдеров переводят свою деятельность в блокчейн.

🚨 TODAY: Alameda Research unlocked $23M in $SOL to 38 new addresses. These addresses combined hold nearly $178M in Solana tokens.

FTX's reimbursement process has also begun, the firm has unlocked $SOL worth $1.5 Billion 👀

Source: Arkham pic.twitter.com/2ue5IEFFQb

— CryptosRus (@CryptosR_Us) March 13, 2025

В настоящее время Solana колеблется около критического уровня поддержки $125-$135, и если рынок станет бычьим, SOL может сделать рывок к $138. Многие киты делают ставку на долгосрочный потенциал Solana, особенно с учетом того, что у нее сильные фундаментальные показатели и надежные варианты использования.

Связанный: Мания мем-монет угасает, поскольку инвесторы ищут криптовалюту с содержанием

Гиперликвид: Киты держатся крепко

Hyperliquid, более новая децентрализованная биржа (DEX), но с большим объемом и устойчивым ростом. Несмотря на то, что она пережила массовую распродажу, как и другие альткоины, киты держались крепко, гарантируя, что Hyperliquid восстановится в долгосрочной перспективе.

The market is drowning in blood, but @HyperliquidX fundamentals remain unshaken.

Volumes are steady, revenue stays high, and AF continues absorbing more tokens daily.

The best strategy? No leverage. No unnecessary risks. Just accumulate, stake, and wait.

Trying to catch… pic.twitter.com/pQiRisX175

— Holosas (@Holosas_) March 11, 2025

С ростом числа китов, владеющих большими объемами Hyperliquid, скачок цен может быть неизбежен, как только рынок стабилизируется. HYPE вырос на 12% за последние 24 часа и теперь стремится преодолеть отметку в 15 долларов.

Связанный: Цена Ethereum выросла, но этот аналитик все еще видит впереди неприятности

Chainlink: Любимец китов

Chainlink показал небольшой отскок после падения цен, подскочив от $13,18 до $15,25, и привлек выгодные процентные ставки. Аналитическая фирма криптовалюты Santiment сообщает, что киты Chainlink продолжают накапливать больше токенов. Таким образом, пять крупнейших держателей Chainlink теперь владеют почти 18% от общего объема поставок.

🔗🐳 Chainlink has achieved a mild rebound ahead of other altcoins following a market-wide plummet that saw the coin fall to $13.18 Tuesday. The top cap coin then bounced all the way to $15.25, and now is seeing abnormally high volume & volatility.

We recommend paying attention… pic.twitter.com/qQwmnEzrot

— Santiment (@santimentfeed) March 5, 2025

С ростом интереса к DeFi и платформам смарт-контрактов Chainlink остается лучшим выбором для институциональных инвесторов. Стабильное накопление китами на основе их рыночного исследования делает его очевидным выбором для дальнейшего роста. Не только это, но и роль Chainlink в расширении децентрализованных финансов доказана. Короче говоря: умные деньги всегда делают ставку на Chainlink.

Trending Cryptos

Related Reads

Deforming the Transformer, LLMs Become Smarter

A new research paper proposes "Tapered Language Models (TLMs)," a method that improves large language model performance without adding any parameters. It challenges the standard Transformer design where each layer has the same number of parameters ("feed-forward network" width). Building on evidence that layers are not equally important—earlier layers handle foundational information like grammar, while later layers often reinforce existing judgments—the researchers suggest reallocating model capacity from later to earlier layers. The core idea is to make the layer width taper off monotonically from start to end, keeping total parameters and compute constant. Experiments compared linear, cosine, and sigmoid tapering curves on a 440M parameter model. The cosine curve (e.g., starting width 1.5x baseline, ending 0.5x) achieved the best result, reducing perplexity by 1.84 points compared to the uniform baseline—a significant gain at zero cost. This finding proved robust across four different model architectures (including gated attention and memory-augmented models) and at larger scales (760M and 1.3B parameters), consistently improving performance on commonsense reasoning and language modeling tasks without harming long-context retrieval ability. The work highlights a long-overlooked design dimension: optimal parameter allocation across depth. It offers a "free lever" for efficiency, potentially applicable beyond language models to vision Transformers and diffusion models. The study was conducted by researchers from Mila, Cornell University, and the University of Montreal.

marsbit3m ago

Deforming the Transformer, LLMs Become Smarter

marsbit3m ago

From SpaceX to Galaxy Digital: A Detailed Look at 37 New AI Companies and 7 Crypto Dark Horses Added to the Russell Indexes

On June 26th, following its annual reconstitution, the Russell US Indexes finalized their new components, with changes taking effect for market trading on June 29th. The Russell 3000 Index, representing approximately 98% of the investable US equity market, saw significant turnover. A record $334 billion was traded during Nasdaq's closing cross on reconstitution day, highlighting the massive passive fund flows tied to these benchmarks. Companies newly added to the index are set to benefit from mandatory buying by these funds. The reconstitution raised the market cap threshold between the large-cap Russell 1000 and small-cap Russell 2000 by 24% to $5.7 billion. Overall, 224 new companies entered the Russell 3000. Of these, 19 joined the Russell 1000, and 205 joined the Russell 2000, while 118 firms were removed. Notably, among the newcomers, approximately 37 are companies operating in the AI and semiconductor ecosystem, accounting for roughly 17% of new additions. The most prominent is SpaceX, which, following its recent IPO and soaring valuation, was fast-tracked directly into the Russell 1000 and Top 200 indexes. Additionally, about 7 cryptocurrency-related companies were newly included, representing about 3% of new entrants. These include Galaxy Digital, Bitmine, and Tron, among others. The inclusion of several Decentralized Autonomous Trust (DAT) entities signals the model's sustained market presence. For these smaller AI and crypto firms, index inclusion boosts visibility, potentially attracting further institutional investment and supporting their stock performance.

Odaily星球日报6m ago

From SpaceX to Galaxy Digital: A Detailed Look at 37 New AI Companies and 7 Crypto Dark Horses Added to the Russell Indexes

Odaily星球日报6m ago

Token Uneconomical

"Token Inefficiency" explores the rising economic burden of AI model token usage in enterprises, where escalating costs often fail to match tangible productivity gains. Major companies like Microsoft, Uber, and Meta are facing "token inefficiency"—characterized by budget overruns for tools like Claude Code with unclear returns. This inefficiency stems from supply-side factors like strategic model price hikes by leaders (e.g., Anthropic) and price increases in budget-friendly models, alongside technical waste in Agent systems through context traps, tokenizer inflation, redundant skill calls, and multi-Agent coordination overhead. A deeper demand-side challenge limits token value: their primary utility remains confined to highly digitalized domains like programming, which benefits from automatic, low-cost feedback loops. Extending tokens to physical world tasks or less digitalized industries faces the "Sim-to-Real Gap," where real-world validation is costly and slow, unlike in code compilation. The article warns that this inefficiency concentrates financial risk in mid-tier model developers, potentially fueling circular financing schemes and shadow credit bubbles. It also highlights societal externalities, as data center expansion strains local power grids and inflates utility costs for residents. To achieve a positive net token economy, the path forward requires dual efforts: technical optimizations (context compression, skill reduction, model routing, budget constraints) and business-side discipline (governance, cost attribution, ROI focus). The ultimate goal is shifting from showcasing AI capabilities to maximizing value per token, finding scalable commercial applications that justify the investment and bridge the digital-physical divide.

marsbit25m ago

Token Uneconomical

marsbit25m ago

Stock Price Halved in 45 Days, Is Circle Actually the "DeFi Barometer"?

Over a 45-day period, Circle's stock price plummeted by approximately 50% to around $63, coinciding with a significant $70 billion decline in the circulation of its USDC stablecoin from its peak. In contrast, Tether's USDT saw a much smaller reduction. Analyst Ed Engel posits that Circle acts as a barometer for DeFi activity, as a high correlation exists between USDC supply and ETH price movements. The vast majority of USDC is concentrated within crypto exchanges and DeFi protocols for yield generation, rather than for widespread daily use in payments or commerce, unlike USDT which has stronger real-world adoption in various regions. The recent contraction in DeFi Total Value Locked (TVL), following security incidents like the Kelp DAO attack, appears to mirror Circle's declining stock performance. While Circle is actively promoting USDC's use as a settlement asset on platforms like Hyperliquid and in institutional payment corridors—where its organic transfer volume surpasses USDT's—these efforts have not sufficiently driven growth in USDC's overall supply. The company's revenue remains heavily tied to DeFi's expansion. For Circle's investment narrative to change, it must either significantly reduce its reliance on the volatile DeFi sector or demonstrably prove that real-world adoption can substantially and sustainably increase USDC circulation. In the near term, market confidence hinges on DeFi addressing its inherent risk-reward imbalances.

marsbit58m ago

Stock Price Halved in 45 Days, Is Circle Actually the "DeFi Barometer"?

marsbit58m 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 SOL (SOL) are presented below.

活动图片