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A preview in one image | Strongly bullish on the performance before earnings! nvidia's earnings are coming next week, and Blackwell may become a catalyst for the stock price. Will it lead the US stock market to continue its frenzy?
According to Bloomberg consensus estimates, as nvidia's most critical business - datacenter is expected to achieve revenue of 29.083 billion USD, a year-on-year increase of 100.38%. This indicates that the share of this business in the company's revenue is expected to continue to expand to 88.06%, compared to 87.5% in the last quarter.
How much longer can nvidia be bullish?
Next week, nvidia will release its third-quarter financial report. Despite the stock price of nvidia has increased by over 140% since the beginning of the year, it has become a well-deserved leader in this round of technology bull market. For the upcoming third-quarter report, investment institutions are still generally bullish. However, many institutions have doubts about whether its performance can support such a high valuation. Several institutions have raised nvidia's target price for the third quarter of the fiscal year 2025, as of the end of October. The company has disclosed on its official website that the report will be released on November 20th, local time, which is early morning on the 21st peking time. Regarding the third quarter, nvidia financial report for the second quarter released on August 28th,
Market Clubhouse Morning Memo - November 15th, 2024 (Trade Strategy For SPY, QQQ, AAPL, MSFT, NVDA, GOOGL, META And TSLA)
Nvidia clearly explains their understanding and layout of AI here.
Huang Renxun believes that in the future, AI will develop in two directions: the scalability and multimodality of capabilities, as well as the application of the "Cambrian Explosion." Future AI agents and robotics technology will be the two most popular forms of artificial intelligence in the future. Nvidia's future layout focuses on AI technology and ecosystem cooperation, enhancing CPUs through accelerated computing and GPU, providing rich software and library support for AI development, and promoting the new industrial revolution through enterprise cooperation, enabling every company to produce its own AI.
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