LINK 火热飙升! 鲸鱼如何助力 LINK 近期飙升?能涨到哪?

金色财经Publicado a 2025-01-06Actualizado a 2025-01-06

Chainlink [LINK]在最近的大幅上涨后成为加密货币投资者关注的焦点。仅在过去三天里,LINK 从 19 美元左右的关键支撑区域反弹后就飙升了约 18%。尽管市场波动,但反弹表明资产实力强劲。

v2-ab259887e3d818bf97f500d9c8f7861d_720w.webp?source=d16d100b

鲸鱼活动的明显增加也为涨势增添了动力。大户在过去 96 小时内购买了超过 140 万个 LINK。

如此大量的积累通常暗示着 Chainlink 主要投资者的信心不断增强,可能预示着长期看涨情绪。

v2-2a9e8159ab0e600793e87e0d09d9d68d_720w.webp?source=d16d100b

交易所资金流出减少,但 LINK 鲸鱼表现出信心

通过观察了 LINK 的链上指标,发现该代币呈现积极的趋势。交易所资金流出(通常表示代币离开交易平台)在过去三天内稳步下降。

这表明,将资产转移到交易所进行潜在抛售的 LINK 持有者人数减少,表明市场情绪乐观。

v2-c2ee38330524e49bf06a82e840cc7d3b_720w.webp?source=d16d100b

有趣的是,尽管多空比率看跌,但 Coinglass 数据显示空头仓位却在缓慢下降。这一趋势可能归因于近期上涨后的获利回吐。

然而,鲸鱼的稳步积累表明他们注重的是长期收益,而不是短期投机。

鲸鱼的活动会推高价格吗?

鲸鱼的持续增持可能是价格进一步上涨的信号。从历史上看,鲸鱼活动的增加往往先于加密货币市场的看涨反弹。

如果这种趋势继续下去,LINK 在未来几天可能会经历更强劲的上涨势头。

此外,多空比率的缓慢下降也支持了抛售压力减弱的可能性。

结合鲸鱼的信心,这种情况可能为 LINK 测试更高的阻力位铺平道路。

LINK 技术分析和即将到来的水平

根据 CoinPedia 的技术分析,LINK似乎正在 23 美元至 24 美元之间的窄幅区间内盘整,并有望突破。自 2025 年初以来,LINK 在四小时时间范围内盘整了两次,然后才出现上涨势头。

v2-909313f227d7cd3dd0a24d7d187356ab_720w.webp?source=d16d100b

未来四天会出现类似的上涨行情。根据最近的价格走势,LINK 很有可能在未来几天飙升 20%,达到 29 美元大关。

从积极的一面来看,该山寨币刚刚在四小时时间范围内突破了 200 指数移动平均线 (EMA),并在其上方收盘,表明可能转向上升趋势。

目前,LINK 的交易价格接近 23.81 美元,过去 24 小时内上涨了 1.78%。然而,在同一时期,其交易量下降了 33.40%,表明交易者和投资者的参与度与前一天相比有所下降。

总而言之,在重新测试 19 美元附近的关键支撑位后,LINK 价格仅三天就飙升了 18%。与此同时鲸鱼活动愈演愈烈,已积累了超过 140 万个 LINK,预示着进一步上涨的潜力。

Criptos en tendencia

Lecturas Relacionadas

In Just 11 Days, Claude Rewrote Millions of Lines of Code, an Epic AI Engineering Feat Sparks Fury

In just 11 days, Bun's founder Jarred Sumner used Anthropic's Claude AI models to rewrite its million lines of code from Zig to Rust. This move sparked significant controversy, particularly from Zig's creator, Andrew Kelley, who publicly criticized Sumner's engineering practices and the decision to use AI for such a massive rewrite. Bun, a high-performance JavaScript/TypeScript runtime and rival to Node.js, was originally written in Zig. After Anthropic acquired Bun, the team encountered persistent stability and memory safety bugs in the Zig codebase. These issues, combined with Zig's strict policy against LLM-generated code, led to the decision to rewrite in Rust. The rewrite was executed using Claude AI tools at an estimated API cost of $165,000, dramatically reducing the expected time and financial cost. Andrew Kelley's response was scathing. He blamed the original bugs on poor engineering habits, calling Bun's Zig code a collection of "hacks on top of hacks." He expressed relief that Bun was no longer associated with Zig, fearing it would misrepresent the language and attract low-quality, AI-generated contributions. The tech community is divided; some view Kelley's critique as unprofessional, while others see it as a defense of engineering integrity. A major concern about the AI-driven rewrite is the resulting code quality. The translation from Zig left approximately 27,000 lines of unsafe Rust code, raising fears about long-term maintainability and technical debt. The debate centers on whether this project is a milestone in AI-assisted development or a future maintenance nightmare.

marsbitHace 2 min(s)

In Just 11 Days, Claude Rewrote Millions of Lines of Code, an Epic AI Engineering Feat Sparks Fury

marsbitHace 2 min(s)

From Auto Finance to Bitcoin to AI Engines: An Analysis of Cango's 'What Not to Do' Strategy

From Auto Finance to Bitcoin and Now AI: Cango's "What Not to Do" Strategy Cango, a Chinese auto finance platform that went public on the NYSE in 2018, is undergoing its third major transformation. After selling its entire auto business in 2024, it pivoted to become a large-scale Bitcoin miner, acquiring 50 exahash of mining rigs from Bitmain. However, its true goal was never Bitcoin, but owning and controlling energy infrastructure. Now, Cango is pivoting again. While most listed Bitcoin miners are leasing power to giant hyperscalers for AI training clusters, Cango is taking the opposite path. It has launched an AI inference subsidiary called EcoHash, focusing not on training but on distributed inference. The company's strategy hinges on the insight that over 70% of mining industry power is controlled by small, independent sites (10-50 MW), which are too small for hyperscalers but ideal for low-latency AI inference. Cango aims to partner with these small operators, providing the AI technology, customers, and financing through its EcoLink software layer, which can distribute workloads across sites for reliability. Cango maintains a hybrid model, running roughly 31.7 EH/s of Bitcoin mining for cash flow while aggressively cleaning its balance sheet—slashing long-term debt by 94.5% to $30.6 million and raising $75 million for its AI venture. Its first AI deployment will be at a 50 MW site in Georgia. The strategy faces skepticism, given the high costs of converting mining sites and the potential for an AI bubble. However, Cango's leadership believes discipline around "what not to do"—avoiding direct competition with hyperscalers in training—positions it to capture the long-tail demand for distributed AI inference power.

Foresight NewsHace 19 min(s)

From Auto Finance to Bitcoin to AI Engines: An Analysis of Cango's 'What Not to Do' Strategy

Foresight NewsHace 19 min(s)

Strategy's Bitcoin Sales Cap Far Exceeds $1.25 Billion: A Detail the Market Overlooked

The article discusses how MicroStrategy's potential Bitcoin sales go far beyond the announced $1.25 billion "reserve-building capacity." It clarifies a key distinction in the company's "BTC Monetization Program": selling Bitcoin to *build* a new dollar reserve (the $1.25B cap) versus selling to *replenish* the existing USD Reserve after it's used for expenses like preferred share dividends. The recent $216M BTC sale for dividend payments was a "replenishment," leaving the headline $1.25B building quota untouched. The plan actually outlines three potential funding pools from BTC sales: 1) Building the reserve ($1.25B cap), 2) Covering preferred share/ debt costs (no specified cap), and 3) Funding buyback programs (up to $20B). This means the structured sales potential exceeds $30 billion, not including uncapped replenishment sales. The piece argues this marks MicroStrategy's shift from a passive "buy-and-hold" Bitcoin proxy to an actively managed entity using BTC as a balance-sheet tool to manage its complex capital structure (common stock, preferred shares, debt, reserve). This creates new dynamics and potential conflicts, as actions benefiting one part (e.g., selling BTC to pay dividends) may pressure another (e.g., undermining the "never sell" narrative). Investors must now parse the company's specific terminology ("build" vs. "replenish") to understand the true scope of future BTC sales, which is significantly larger than the market initially perceived.

marsbitHace 25 min(s)

Strategy's Bitcoin Sales Cap Far Exceeds $1.25 Billion: A Detail the Market Overlooked

marsbitHace 25 min(s)

Goldman Sachs Report Deconstructs the Competitive Landscape of China's AI Large Models: Who Will Be the Long-Term Winner?

Goldman Sachs analyzes China's AI large language model (LLM) landscape, identifying key players and a strategic shift towards efficiency and global expansion. The report highlights that Chinese open-source/open-weight models are closing the performance gap with top global proprietary models at significantly lower cost, driven by architectural innovations like MoE. This enables a "two-tier" market: a high-end segment (e.g., GLM5.2, Qwen3.7 Max) with pricing at ~$1 per million tokens, and a low-end, price-sensitive global segment. Open-source strategies aid adoption but limit monetization, as deployments via third-party platforms (e.g., AWS Bedrock, Alibaba Cloud) may not generate direct revenue for model creators. The industry is thus moving towards "open-weight + community license" models with revenue-sharing to improve unit economics. Internationally, the focus is shifting from "token maximization" to ROI-driven enterprise adoption, particularly in non-U.S. markets. Major cloud platforms are integrating Chinese models (e.g., DeepSeek, MiniMax). Using a competitive framework based on pricing power, cost advantage, and financial strength, Goldman Sachs identifies **Zhipu AI** and **DeepSeek** as leaders in foundational text models, and **ByteDance** (with Seedance) leading in multimodal/video generation. **MiniMax** and **Kuaishou** are also rated favorably. The firm forecasts China's AI model API/subscription revenue growing from ~RMB 35bn (2026E) to RMB 879bn by 2030.

marsbitHace 25 min(s)

Goldman Sachs Report Deconstructs the Competitive Landscape of China's AI Large Models: Who Will Be the Long-Term Winner?

marsbitHace 25 min(s)

Trading

Spot

Artículos destacados

Cómo comprar LINK

¡Bienvenido a HTX.com! Hemos hecho que comprar ChainLink (LINK) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar ChainLink (LINK) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu ChainLink (LINK)Después de comprar tu ChainLink (LINK), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear ChainLink (LINK)Tradear fácilmente con ChainLink (LINK) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

1.1k Vistas totalesPublicado en 2024.12.13Actualizado en 2026.06.02

Cómo comprar LINK

Discusiones

Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de LINK (LINK).

活动图片