10 for 1 and double .....geezus if that happened ...can't rule it out but chances would be less than 1%. The amount of earnings power this company would need to prove in order to see its stock double would have to be something wallstreet has never seen before.
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Nvda and law of large numbers
- Thread starter S2007S
- Start date
10 for 1 and double .....geezus if that happened ...can't rule it out but chances would be less than 1%. The amount of earnings power this company would need to prove in order to see its stock double would have to be something wallstreet has never seen before.
This is not true, when a stock is in a bubble it makes little difference.
Especially with stock splits. Nividia could do a 10:1 stock split. And double again in a month.
Traders are trading the momentum and selling to greater fools or ready to take a loss if it reverses. Few care what the market cap even is.
No one watches market caps. Now at 1.7 trillion it will be more watched than ever before....
I remember tsla, stock was going absolutely insane some yrs back...was running to a cool trillion dollar market cap and did I Believe 2 splits...people were rushing into buy it. Topped out near 500 I believe and collapsed to 100 in a short time frame. It did double again but has lost all momentum once again.....
January 17, 2024
February 6, 2024
In the 17 days from January 17 to February 6, your estimation of Tesla's peak has grown from 400 to "near 500".
To avoid the possibility of that estimation increasing again, I will suggest that Tesla's peak was closer to 400. My historical quotes say that the intraday high was $414.50 on November 4, 2021.
In relation to its decline, the stock declined to $206.86 on May 24, 2022. It did not drop below that level until October 2022, and it finally found a bottom at $101.81 on January 6, 2023.
Reminds of tesla....people rushing into Buy it every time they were talking about another split. Stock rallied to 400 and then collapsed to 100 bucks...still hasn't recovered...
February 6, 2024
No one watches market caps. Now at 1.7 trillion it will be more watched than ever before....
I remember tsla, stock was going absolutely insane some yrs back...was running to a cool trillion dollar market cap and did I Believe 2 splits...people were rushing into buy it. Topped out near 500 I believe and collapsed to 100 in a short time frame. It did double again but has lost all momentum once again.....
In the 17 days from January 17 to February 6, your estimation of Tesla's peak has grown from 400 to "near 500".
To avoid the possibility of that estimation increasing again, I will suggest that Tesla's peak was closer to 400. My historical quotes say that the intraday high was $414.50 on November 4, 2021.
In relation to its decline, the stock declined to $206.86 on May 24, 2022. It did not drop below that level until October 2022, and it finally found a bottom at $101.81 on January 6, 2023.
Dan Nathan on fast money said this on Monday on cnbc... Makes some very valid points...
If anyone didn't catch the show he had some very strong points on why it's a sell and I have to say I agree. ...
As discussed just now on CNBCFastMoney
'Sell Nvidia' on.ft.com/3HMh910 via @financialtimes h/t WallStCynic
Gupta's main thesis is straightforward. Competition for generative Al hardware is catching up, end-user deployments don't need much power once the database is built, there's a shakeout due soon, and Nvidia's estimated 98 per cent market share of data-centre GPUs probably won't last:
Al chip demand will eventually normalize once the initial training build has been completed. The inference phase of Al is going to require less computing power than the training phase. High-powered PCs and phones could be capable enough to run inferences locally, reducing the need for growing GPU plants. [...] We think the cost of building Large Language Models (LLMs) and limited monetization opportunities could eventually force the exit of smaller (but still meaningful) customers of Nvidia from the Al market, helping to ease GPU supply constraints.
Revenue growth for big tech is expected to slow this year, while the likes of Meta and Amazon are working on their own chips. That's had because just five customers provided 46 per cent of Nvidia's revenue last quarter, with Microsoft and Meta alone accounting for 28 per cent of the total
5:19 PM Feb 5, 2024
If anyone didn't catch the show he had some very strong points on why it's a sell and I have to say I agree. ...
As discussed just now on CNBCFastMoney
'Sell Nvidia' on.ft.com/3HMh910 via @financialtimes h/t WallStCynic
Gupta's main thesis is straightforward. Competition for generative Al hardware is catching up, end-user deployments don't need much power once the database is built, there's a shakeout due soon, and Nvidia's estimated 98 per cent market share of data-centre GPUs probably won't last:
Al chip demand will eventually normalize once the initial training build has been completed. The inference phase of Al is going to require less computing power than the training phase. High-powered PCs and phones could be capable enough to run inferences locally, reducing the need for growing GPU plants. [...] We think the cost of building Large Language Models (LLMs) and limited monetization opportunities could eventually force the exit of smaller (but still meaningful) customers of Nvidia from the Al market, helping to ease GPU supply constraints.
Revenue growth for big tech is expected to slow this year, while the likes of Meta and Amazon are working on their own chips. That's had because just five customers provided 46 per cent of Nvidia's revenue last quarter, with Microsoft and Meta alone accounting for 28 per cent of the total
5:19 PM Feb 5, 2024
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Funny how they have to keep upgrading the same stock over and over to keep the momentum going..
https://finance.yahoo.com/news/nvidia-eyes-fresh-record-goldman-141152433.html
https://finance.yahoo.com/news/nvidia-eyes-fresh-record-goldman-141152433.html