NVDA at its 100- and 200-day averages has been a great buying opportunity each time it tested that level over the past year and a half. Neocloud buyers, the biggest AI bubble, likely fail within 6 to 12 months, leaving NVDA well placed, though it would then sell again to hyperscalers building their own chips.
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What does this mean for leading AI companies? Such as Nvidia, Microsoft, and Amazon. All of these companies will announce their earnings in the next few weeks.
Moving on to Nvidia, it started the week at 228, which is no surprise. The artificial intelligence sector has been under pressure all week, and Nvidia is connected to all of that in one way or another.
Also, when we look at Nvidia's financial data, they do n't announce their earnings for about 50 or 60 days . But they have already allocated a special section for new cloud companies (neo cloud).
These new cloud companies are the biggest AI bubble ever . All of those stocks are likely to fail over the next 6 to 12 months. Therefore, Nvidia should be in a good position.
They would have many customers, whether it be Microsoft, Amazon, or Google, to buy their graphics processing units , but they had this group that accelerated the purchasing process, although none of those companies would be able to borrow the required money.
Nvidia will have to go back to selling to giant cloud computing companies, all of which at this stage are building their own custom chips, including Google, which we will talk about shortly.
Now, Mercedes, the great automaker, and Nvidia have expanded their autonomous driving software technology into a next- generation autonomous driving system .
Now, Nvidia says it doesn't need CoreWeave support, according to Jensen Huang.
Now, Nvidia won't announce its earnings for another 40 days, but you heard about Taiwan Semiconductor and ASML this week. You will hear news from AMD and Intel over the next two weeks.
Therefore, there will be indications of what the company is hiding. Again, here you are between the 100 and 200-day averages, every time Nvidia has tested this level over the past year and a half.
I have occasionally deviated from that, but it has created a great buying opportunity.
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