Seeker 24小时内上涨40%:获利了结会困住SKR多头吗?

ambcryptoPubblicato 2026-02-24Pubblicato ultima volta 2026-02-25

Introduzione

摘要:Solana Mobile推出的第二代Web3手机代币Seeker(SKR)因上线Upbit交易所而大幅上涨,24小时内涨幅超70%,市值突破1亿美元,跻身加密货币前200名。此次暴涨主要由交易量激增429%驱动,尤其是韩国及亚洲市场的投机交易活跃。技术指标显示,SKR价格突破下降趋势通道,资金流入明显。但分析师警告,由于交易者获利了结情绪浓厚,多头持仓比例骤降,可能导致涨势难以持续,存在回调风险。本月SKR仍累计下跌17%,部分投资者处于亏损状态。

Solana Mobile为其第二代Web3智能手机Seeker [SKR]推出了代币。该代币表现相对较好,市值突破1亿美元。

这一里程碑使其跻身加密货币市值前200名。在过去24小时内,Seeker以超过70%的涨幅领跑该类别日涨幅榜。此次飙升抹平了周度跌幅并将涨幅推至48%。

但在本月中期持续下跌后,这波突然飙升的背后原因是什么?

是什么推动了Seeker的上涨?

Seeker大幅上涨的原因是日交易量激增429%以上。此次增长源于Upbit交易所的上线,这使得Seeker接触到韩国交易者乃至整个亚洲市场。

Upbit交易所将支持三个SKR交易对,报价货币分别为比特币[BTC]、USDT和韩元。这增加了Seeker加密货币的投机交易曝光度。

如此高的交易量与下跌的加密货币市场形成反差。然而,这款山寨币能否维持高交易量,还是会成为另一个‘拉高出货’的场景?

SKR价格走势爆发

图表显示,这款山寨币突破了下跌趋势通道,该通道曾制约价格约12天。在Upbit上线仅一小时内,价格就从0.19美元猛涨至0.26美元以上。

累积成交量差值(CVD)显示看涨,该指标反映了买卖压力的差异。撰写本文时,CVD为3.69亿SKR,表明存在巨大的净买入。

资金正向流入Seeker加密资产在柴金资金流(CMF)中也很明显,其读数为0.47。该指标显示资金流入始于前一天,就在上线之前。

历史上,大多数交易所上线最终都会出现回调。这就是为什么锁定利润总是值得的,尤其是在像这样价格突然变动的情况下。

然而,市场广泛的获利了结将阻止涨势持续。

交易者获利了结威胁涨势可持续性

除了急剧上涨后的常规回撤外,获利了结也可能阻止这波行情延续。根据CoinGlass数据,在价格触及0.030美元后,SKR交易者立即将多空比率转为红色。

该比率从日间峰值1.43降至撰写时的0.84。这意味着交易者因害怕回吐收益而进行卖出。

在币安期货市场,多空比率一度跌至0.58。这意味着全球范围内的获利了结行为多于推动此轮涨势的亚洲市场。

尽管如此,Seeker本月仍下跌约17%,表明仍有交易者处于亏损状态。

最终总结

  • Seeker在Upbit上线和技术突破后上涨70%。
  • 随着交易者加剧获利了结,SKR价格面临涨势暂停的风险。

Domande pertinenti

QSeeker (SKR) 在24小时内涨幅达到多少?

ASeeker (SKR) 在24小时内涨幅超过70%,市值突破1亿美元,进入加密货币市值前200名。

Q是什么原因导致了Seeker (SKR) 的突然上涨?

ASeeker的上涨主要得益于Upbit交易所上线交易对,导致其日交易量激增429%,并吸引了韩国及亚洲市场的交易者。

QSeeker (SKR) 的价格从多少上涨到多少?

A在Upbit上线后,Seeker的价格从0.19美元迅速上涨至0.26美元以上。

Q为什么Seeker的上涨可能难以持续?

A交易者普遍进行获利了结,导致多空比率下降,尤其是在全球市场中,这可能阻止涨势继续。

QSeeker的本月整体表现如何?

A尽管近期上涨,但Seeker本月仍下跌约17%,表明部分交易者仍处于亏损状态。

Letture associate

Mythos Report Released: Billions of Devices Worldwide Exposed, 10,000 Critical Vulnerabilities Uncovered in 30 Days

The first report from Anthropic's "Project Glasswing" reveals staggering results from its secret initiative using the next-generation AI model, Claude Mythos Preview. In just 30 days, collaborating with roughly 50 global tech giants and critical infrastructure developers, Mythos identified over 10,000 high or critical-severity software vulnerabilities. It demonstrated an extremely low false-positive rate, even outperforming human experts, and successfully intercepted a $1.5 million bank fraud in progress. Key findings include uncovering 2,000 bugs in Cloudflare's core systems, fixing 271 critical vulnerabilities in Firefox 150 (ten times more than previous methods), and discovering a 27-year-old hidden bug in OpenBSD's codebase. The AI even autonomously constructed full attack chains for some exploits. Mythos also scanned over 1,000 essential open-source projects, identifying 23,019 total vulnerabilities, with 6,202 rated high/critical by the AI. Independent verification confirmed a 90.6% true-positive rate, validating 1,094 severe vulnerabilities. A critical case involved wolfSSL, a cryptography library used by billions of devices, where Mythos found a flaw allowing perfect digital certificate forgery. This unprecedented discovery speed has created a new crisis: human developers are overwhelmed and cannot patch vulnerabilities fast enough. In response, Anthropic is rolling out defensive tools like "Claude Security" to auto-generate patches and releasing frameworks to help security teams automate code review and threat modeling. Due to its immense power and potential for weaponization if misused, Anthropic is delaying Mythos's public release until robust safety measures are established. The company urges the industry to shorten patch cycles, enforce updates, and strengthen security fundamentals. The project signals a paradigm shift where AI could eventually make critical code vastly more secure, though the transition period poses significant challenges for human defenders.

marsbit56 min fa

Mythos Report Released: Billions of Devices Worldwide Exposed, 10,000 Critical Vulnerabilities Uncovered in 30 Days

marsbit56 min fa

AlphaGo's Creator Puts AI into a 23-Year-Old Artificial Society: All Three Toughest Challenges for AI Agents Are Here

Demis Hassabis, CEO of DeepMind, has embarked on a new AI research venture by partnering with the long-running space MMO, EVE Online. This collaboration, announced in early May, aims to use the game's 23-year-old, player-driven persistent universe as a testbed for tackling three core challenges in AI agent research: long-horizon planning, memory, and continual learning. Unlike previous DeepMind environments like AlphaGo (Go) or AlphaStar (StarCraft II), EVE Online features no fixed end state. Its single-shard universe has fostered complex, emergent player societies with real economies, political alliances, and wars that can span months or years. These conditions naturally demand the very skills—long-term strategic planning, maintaining memories over extended periods, and adapting to constant change—that are hardest for current AI agents to master. The research will initially use an offline version of EVE, providing a controlled, complex sandbox without interfering with the live player server. This move continues DeepMind's trajectory of using increasingly complex and open-ended virtual worlds for AI training, from Atari games and Go to StarCraft II and the SIMA project. The EVE environment represents a significant step towards testing AI in a persistent, socially complex, and continuously evolving world shaped by human behavior over decades.

marsbit56 min fa

AlphaGo's Creator Puts AI into a 23-Year-Old Artificial Society: All Three Toughest Challenges for AI Agents Are Here

marsbit56 min fa

DeepSeek Announces Permanent Price Cut, But Liang Wenfeng Is Not Trying to Be a "Cyber Bodhisattva"

DeepSeek has announced a permanent 75% discount on its V4-Pro API, significantly reducing its token prices. This move stands out as a major industry-wide price cut while competitors like Anthropic, OpenAI, and Google have been quietly raising theirs. The article contrasts this strategy with the broader trend of AI becoming more expensive, citing examples of companies like Microsoft and Uber struggling with high token costs as usage soars. While CEO Liang Wenfeng is hailed by some as a "Cyber Bodhisattva" for this普惠 approach, the article argues this is a strategic business choice, not mere altruism. DeepSeek's ability to maintain low prices is attributed to several structural advantages: lower-cost AI talent in China, the impending use of domestic昇腾 hardware for further cost reductions, and, most critically, access to China's cheaper and more abundant energy infrastructure, which drastically reduces the electricity costs dominating AI operations. The analysis suggests that for many commercial applications, a "good enough" model that is radically cheaper (e.g., 1% to 11% of GPT-5.5's cost) is more valuable than the absolute top-tier model. This allows for vastly more experimentation and iteration within a budget. Therefore, as AI generally becomes more expensive, DeepSeek's cost-competitiveness—rooted in China's energy and talent advantages—becomes its core strategic value and differentiator in the global market.

marsbit12 h fa

DeepSeek Announces Permanent Price Cut, But Liang Wenfeng Is Not Trying to Be a "Cyber Bodhisattva"

marsbit12 h fa

Trading

Spot
Futures

Articoli Popolari

Come comprare SKR

Benvenuto in HTX.com! Abbiamo reso l'acquisto di Seeker (SKR) semplice e conveniente. Segui la nostra guida passo passo per intraprendere il tuo viaggio nel mondo delle criptovalute.Step 1: Crea il tuo Account HTXUsa la tua email o numero di telefono per registrarti il tuo account gratuito su HTX. Vivi un'esperienza facile e sblocca tutte le funzionalità,Crea il mio accountStep 2: Vai in Acquista crypto e seleziona il tuo metodo di pagamentoCarta di credito/debito: utilizza la tua Visa o Mastercard per acquistare immediatamente SeekerSKR.Bilancio: Usa i fondi dal bilancio del tuo account HTX per fare trading senza problemi.Terze parti: abbiamo aggiunto metodi di pagamento molto utilizzati come Google Pay e Apple Pay per maggiore comodità.P2P: Fai trading direttamente con altri utenti HTX.Over-the-Counter (OTC): Offriamo servizi su misura e tassi di cambio competitivi per i trader.Step 3: Conserva Seeker (SKR)Dopo aver acquistato Seeker (SKR), conserva nel tuo account HTX. In alternativa, puoi inviare tramite trasferimento blockchain o scambiare per altre criptovalute.Step 4: Scambia Seeker (SKR)Scambia facilmente Seeker (SKR) nel mercato spot di HTX. Accedi al tuo account, seleziona la tua coppia di trading, esegui le tue operazioni e monitora in tempo reale. Offriamo un'esperienza user-friendly sia per chi ha appena iniziato che per i trader più esperti.

150 Totale visualizzazioniPubblicato il 2026.01.24Aggiornato il 2026.01.24

Come comprare SKR

Discussioni

Benvenuto nella Community HTX. Qui puoi rimanere informato sugli ultimi sviluppi della piattaforma e accedere ad approfondimenti esperti sul mercato. Le opinioni degli utenti sul prezzo di SKR SKR sono presentate come di seguito.

活动图片