NVIDIA (NVDA) has faced setbacks in the past. Its stock has experienced declines of over 30% within a period of less than two months on up to eight separate occasions in recent years, eliminating billions in market value and undoing substantial gains in a single correction. If past trends are a reliable indicator, NVDA stock is susceptible to abrupt and significant drops.SANTA CLARA, CALIFORNIA - MAY 30: An exterior view of the NVIDIA headquarters on May 30, 2023 in Santa Clara, California. Chipmaker NVIDIA ...

豪恩汽电在互动平台表示，公司和英伟达合作开发的机器人域控大脑产品目前处于正常开发阶段，公司 将在产品完善、客户需求确定并保证所有相关事宜妥当后及时进行相关产品的推出。同时该域控产品暂 未形成收入，请广大投资者注意投资风险。 ...

Core Insights - NVDL aims to double Nvidia's daily returns but has faced challenges due to daily compounding effects, leading to a decline in its performance as Nvidia's stock has dropped nearly 10% year to date [1][4] Group 1: Nvidia's Performance and Valuation - Nvidia's revenue growth must remain above 50% annually to sustain its valuation premium, with a current forward price-to-earnings ratio around 24 [2] - The company reported a 62.5% year-over-year revenue growth in its latest quarter, reaching $57 billion, but this growth is decelerating from previous triple-digit rates [2] - A drop in quarterly revenue growth below 40% could lead to a significant stock repricing, which would be magnified by NVDL's structure [2] Group 2: Data Center Demand and Earnings Reports - Nvidia's data center revenue growth is critical, representing over 80% of total revenue, and any slowdown in spending from major clients like Microsoft, Amazon, or Google could negatively impact the stock [3] - Key figures to monitor in Nvidia's quarterly earnings include data center revenue growth, gross margin trajectory, and management's guidance for future quarters [3] Group 3: NVDL's Daily Compounding and Risks - NVDL resets its leverage daily, which can lead to underperformance in volatile or sideways markets due to volatility decay [4] - Current market indicators show Nvidia's RSI at 40.4, suggesting weakening momentum, which could further affect NVDL's performance if the stock remains stagnant [4][6] Group 4: Alternative Investment Options - For diversification, SOXL offers 3x daily leverage on the semiconductor sector, including Nvidia, but mitigates single-stock risk by spreading exposure across multiple companies [5]

近期，东方港湾但斌和中泰国际首席经济学家李迅雷在一场对话中分享了对经济和市场的判断。 投资作业本课代表整理了要点如下： 李迅雷: 1、(A股)这轮行情能够起来，主要是风险偏好提高了，不是盈利驱动型的行情。所以慢牛也好，或者是 结构性牛市也好，主要还是基本面的变化。 我们对市场不要人云亦云，还是要深入去分析。 过去一荣俱荣、一损俱损，现在(市场)分化越来越明显了。 当然结构性的行情我是坚信不疑的。 2、所谓的结构性机会，一是抓住大趋势，即科技引领;二是把握一些均值回归的结构性机会——当市场 出现系统性风险、极度恐慌时，也可能是一个买入的机会。 3、我们现在这个时代就是AI时代了。那AI时代我们应该配置什么?那肯定是高科技，肯定是高科技相 关，肯定跟我们的创新相关。 如果我们说要投资的话，我还是觉得价值投资，而不是一味的长期投资。长期我们都要死的。 4、我们一定要看到今年是AI时代非常突出的一点。今后再有这么大一个涨幅，估计有难度了。 5、我对这一轮AI的革命，我也是非常非常看好，我觉得好戏后面还在。 我们现在还是迎接一个很初级的时代。 在这个时代里面，肯定也有风险，说不定明年泡沫就可能要破，但破完之后又怎么样呢 ...

NVIDIA CEO Jensen Huang just told us what the market already knew but few wanted to price in: we need trillions more dollars for AI infrastructure buildout. Not billions. Trillions. His timing is pointed, heading to China as US-China tech competition intensifies and global data center capacity maxes out. Huang laid out the path: "I believe that there will be no digestion until we modernize a trillion dollars with the data centers… And let's say by 2030, the world's data centers for computing is a couple of ...

Core Insights - Nvidia's CEO Jensen Huang emphasized that AI robotics represents a "once-in-a-generation" opportunity for Europe, leveraging its strong industrial manufacturing base [1] - Huang noted that this opportunity allows Europe to "leap past" the software era dominated by the U.S. [2] Rise of AI Robotics - There is a growing focus on autonomous robotics within the industrial and tech sectors, driven by advancements in AI [3] - Major European companies like Siemens, Mercedes-Benz Group, Volvo, and Schaeffler have initiated robotics projects and partnerships in the past year [3] - Big Tech firms are also heavily investing in robotics, with Tesla's CEO stating that 80% of the company's value will derive from its Optimus humanoid robots, and Nvidia forming partnerships with Alphabet for physical AI [4] Energy Supply Concerns - To capitalize on AI opportunities, Europe must improve its energy supply to support necessary infrastructure investments [5][8] - High energy costs in Europe are a significant challenge, as highlighted by Microsoft’s CEO, who stated that energy costs will influence the success of countries in the AI race [5] - Huang pointed out that Europe is facing limited energy access while hyperscalers aim to deploy AI infrastructure [8] Infrastructure Buildout - Huang described the current AI infrastructure development as the "largest infrastructure buildout in human history," with hundreds of billions already invested and trillions needed for future expansion [9]

格隆汇1月21日丨豪恩汽电(301488.SZ)在互动平台表示，公司和英伟达合作开发的机器人域控大脑产品 目前处于正常开发阶段，公司将在产品完善、客户需求确定并保证所有相关事宜妥当后及时进行相关产 品的推出。同时该域控产品暂未形成收入。 ...

Shares of Nvidia Corp. (NASDAQ: NVDA) are 4.1% lower than a week ago. CEO Jensen Huang is reportedly planning a trip to China, and Moody's upgraded Nvidia to Aa1 status. The company also signed a $20 billion licensing deal with Groq. Nvidia's stock is 3.3% higher than six months ago, underperforming the Nasdaq in that time. Note that the chipmaker's momentum in 2025's second half—after the steep drop the stock suffered early in 2025 due to a $5.5 billion charge tied to the H20 chip export restrictions to Ch ...

炒股就看金麒麟分析师研报，权威，专业，及时，全面，助您挖掘潜力主题机会！ 来源： TOP创新区研究院 作者：新兴产业研究组 在过去两年里，当我们在谈论中美AI差距时，由于Nvidia GPU的显性存在，我们几乎把所有的目光都 聚焦在了"算力鸿沟"上：因为制程封锁，由于H100/H800的禁售，中国AI"似乎"被卡住了脖子。 然而，就在所有人的眼睛都盯着硅（Silicon）的时候，大洋彼岸的华尔街和硅谷巨头们，却开始因为电 子（Electrons）而焦虑。 微软CEO萨提亚·纳德拉（Satya Nadella）在上一季的财报电话会议上，以及马斯克在最近的长达3小时 的《Moonshots》对话中，几乎是明着说了： 显卡不再是唯一的瓶颈，真正的瓶颈正在变成吉瓦（GW）级别的电力和带电的数据中心。 美国需要一场AI曼哈顿计划 让我们先看一组数据，这组数据来自麦格理（Macquarie）最新的估算： 到2030年，中国AI发展所需要的电力增量，仅相当于过去五年中国新增发电能力的1%到5%。而在同一 时期，美国AI发展所需要的电力增量，将占据其过去五年新增发电能力的50%到70%。 麦肯锡的最新预测更是表明，到2030 ...

Core Insights - Jensen Huang emphasized that the application of AI technology within specific industries is the most critical factor for realizing economic benefits [1] Industry Implications - The focus on how AI is utilized in various sectors indicates a shift towards industry-specific solutions, which may drive innovation and efficiency [1]