Lumen股价飙升93%,此前公布了50亿美元的新人工智能交易

币界网Pubblicato 2024-08-07Pubblicato ultima volta 2024-08-07

币界网报道:

周二,美国电信公司Lumen Technologies宣布已从希望安装更多针对人工智能的光纤电缆的公司获得50亿美元的新合同后,其股价飙升了93%。

根据Lumen首席执行官Kate Johnson的说法,这家总部位于路易斯安那州的公司目前正在就另一笔70亿美元的潜在交易进行谈判,以应对不断增长的客户需求。Lumen Technologies提供人工智能数据处理所需的光纤网络。她说,由于人工智能需求的蓬勃发展,光纤电缆变得“越来越有价值,而且可能受到限制”。

Lumen看到人工智能相关需求大幅增长

约翰逊在一份声明中表示:“人工智能经济正在改变商业运营,公司意识到他们需要强大的网络基础设施来管理当今前所未有的数据流和未来的需求。”。

她补充道:“我们的合作伙伴之所以转向我们,是因为我们的人工智能基础设施和庞大的网络。这只是Lumen一个重大机遇的开始,这将导致互联网有史以来最大的扩张之一。”。

消息传出后,周二纽约证券交易所收盘时,Lumen股价上涨93%,即每股2.41美元至5美元。自1月以来,股价上涨了160%以上。据谷歌财经报道,在过去的52周里,Lumen的股价已达到5.30美元的高点和0.78美元的低点。

Lumen过去5天的股价(5美元)。来源:谷歌财经

8月6日发布的Lumen最新财务业绩显示,该公司2024年第二季度的净亏损从一年前的87亿美元缩小到4900万美元。2023年的数字包括非现金商誉减值费用。

作为50亿美元交易的一部分,Lumen表示,在未来五年内,其在美国的城际网络里程将“增加一倍以上”。该公司补充说,它还将提供大量尚未使用的已安装暗光纤。

7月,Lumen与微软达成协议,将Azure云计算平台用于其数字化转型和人工智能计划。该协议意味着Lumen现在是微软数据中心网络容量的第一大供应商。

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Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

Analysis of Bitcoin Trading Strategies: Why Celebrity Forecasts and Classic Models Fail, Leaving Only These Four Reliable Indicators This analysis examines the failure of common Bitcoin prediction methods and identifies four reliable indicators for constructing a trading strategy. The author reviewed all major BTC prediction approaches from 2017-2025, categorizing them into three groups: celebrity price targets (consistently over-optimistic), analytical models like Stock-to-Flow (broken post-2022), and on-chain signals. The key finding is that more data often creates confusion, not clarity. The strategy discards unreliable elements: celebrity predictions (incentivized to be extreme), pure models (invalidated by post-ETF market changes), and the Fear & Greed Index used alone (too many false signals). Four reliable indicators were selected: 1. **MVRV Z-Score:** Accurately identifies cycle bottoms when entering its green zone (e.g., 2018, 2020, 2022). Note: Its ability to call tops is now ineffective post-2024. 2. **SOPR (28-day MA):** Consistently signals bottoms when below 1.0, indicating holders are selling at a loss. 3. **ETF Net Flow:** A crucial post-2024 metric showing institutional momentum (e.g., sustained inflows = buying). 4. **Macro Liquidity (Fed policy & M2):** Sets the overall directional bias (e.g., bullish during easing cycles). The core strategy involves waiting for a multi-signal共振 (resonance). For example, a bottom signal requires MVRV in the green zone + SOPR < 1.0. A top signal requires overheated on-chain data + sustained ETF outflows. Macro policy sets the overall direction. The Fear & Greed Index is only used as a weighted confirmatory signal, never alone. Action is only taken when three or more indicators align. The author automated this into a monitoring system that sends Telegram alerts only when signals trigger. As of the article's date (April 15, 2026), the system showed a strong bottom signal: extreme fear (F&G=12), MVRV in the buy zone, and SOPR < 1.0. The only contrary signal was weak ETF flows. Historically, such triple on-chain共振 has preceded 100%+ returns. The conclusion emphasizes building a personal framework over relying on external predictions, allowing for iterative improvement and customization based on individual risk tolerance.

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Bitcoin Trading Strategy Breakdown: Celebrity Predictions and Classic Models All Fail, Only These Four Indicators Remain

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