NVIDIA to $228
If Nvidia were truly done for, why is it impossible to find their latest 5000 series GPUs?
Even if someone wanted to buy one, they simply can't.
The reason lies in Nvidia's commitment to fulfilling the soaring demand from AI data centers, which has left them unable to produce enough H100 and H200 models.
This situation also allows Nvidia to increase their profit margins significantly, capitalizing on the disparity between demand and the media frenzy surrounding them.
DeepSeek serves as a prime example of how out of touch mainstream media can be.
All DeepSeek did was replicate Chat GPT.
Training models requires substantial computing power. The panic surrounding Nvidia and other semiconductor companies is quite amusing; the demand for computing power is skyrocketing!
The gap between the reality of the AI mega-trend and the narrow focus of mainstream media is staggering! It's astonishingly out of touch! Just as out of touch as Cramer was when he declared META was done at $100, or when he thought Chat GPT would obliterate Google at $88.
Stock prices fluctuate between being overvalued and undervalued. While we have metrics like EGF and PE ratios to assess valuation, indicating that Nvidia is currently inexpensive, this doesn't guarantee it won't drop further. However, it is generally wiser to buy stocks when they are cheap rather than when they are costly.
The greater the deviation from the high then the greater the BUYING OPPORTUNITY being presented for the very best leading companies.
The key takeaway is that the deeper Nvidia falls during its corrections, the more advantageous it could be.
Those who are experiencing anxiety during these declines may find themselves selling at a loss, or for a marginal profit possibly around previous highs, while the stock has the potential to rise to $228 and beyond.
The potential for growth is significant; the $228 Fibonacci extension may not represent the peak. Attempting to predict a top for Nvidia could be misguided. Once it reaches $228, Nvidia might maintain a valuation similar to its current $130 level.
Even if someone wanted to buy one, they simply can't.
The reason lies in Nvidia's commitment to fulfilling the soaring demand from AI data centers, which has left them unable to produce enough H100 and H200 models.
This situation also allows Nvidia to increase their profit margins significantly, capitalizing on the disparity between demand and the media frenzy surrounding them.
DeepSeek serves as a prime example of how out of touch mainstream media can be.
All DeepSeek did was replicate Chat GPT.
Training models requires substantial computing power. The panic surrounding Nvidia and other semiconductor companies is quite amusing; the demand for computing power is skyrocketing!
The gap between the reality of the AI mega-trend and the narrow focus of mainstream media is staggering! It's astonishingly out of touch! Just as out of touch as Cramer was when he declared META was done at $100, or when he thought Chat GPT would obliterate Google at $88.
Stock prices fluctuate between being overvalued and undervalued. While we have metrics like EGF and PE ratios to assess valuation, indicating that Nvidia is currently inexpensive, this doesn't guarantee it won't drop further. However, it is generally wiser to buy stocks when they are cheap rather than when they are costly.
The greater the deviation from the high then the greater the BUYING OPPORTUNITY being presented for the very best leading companies.
The key takeaway is that the deeper Nvidia falls during its corrections, the more advantageous it could be.
Those who are experiencing anxiety during these declines may find themselves selling at a loss, or for a marginal profit possibly around previous highs, while the stock has the potential to rise to $228 and beyond.
The potential for growth is significant; the $228 Fibonacci extension may not represent the peak. Attempting to predict a top for Nvidia could be misguided. Once it reaches $228, Nvidia might maintain a valuation similar to its current $130 level.
ملاحظة
Over 90% of AI systems rely on Nvidia chips, leaving alternatives from Intel and AMD struggling to keep up. In the competitive landscape of AI, everyone is vying for the best technology. Major players like Google, Amazon, and META are now investing in their own chip development. While they may not be able to outpace Nvidia, the looming risk of supply shortages for Nvidia GPUs has pushed them to create their own solutions to meet the overwhelming demand. If you've tried to purchase an Nvidia GPU recently, you know just how stark the imbalance between demand and supply is. Forget about snagging the latest 5000 series; even last generation's 4000 series is hard to find at a reasonable price. Currently, an RTX 4080 is priced at no less than $1600, which is outrageous! And the RTX 4090? It's being sold for anywhere between $3750 and $5,500. That's absolutely insane! These cards were meant to be priced under 2.5k. The demand is so high that buyers are forced to pay 50% to 100% more than the manufacturer's suggested retail price just to get their hands on one.ملاحظة
Nvidia's recent price movements highlight how mainstream media often fixates on trivial matters. The stock's correction coincided with a frenzy over DeepFake media, while savvy investors were quietly accumulating shares. The media thrives on sensational fear stories, but the actual impact on stock prices can be unpredictable. Nvidia merely dipped into its buying zone; it never reached the anticipated bargain level of $100. Therefore, I believe the media hysteria had little to do with the price decline, which was primarily driven by the unwinding of the Yen carry trade—a topic largely overlooked by the media. Their misplaced focus has left them puzzled by Nvidia's current rebound.
In today's climate of inflation and advancements in AI, the real risk lies in missing out on potential gains. It's crucial to maintain concentrated portfolios and resist the urge to panic over market dips, even during temporary crashes.
إخلاء المسؤولية
لا يُقصد بالمعلومات والمنشورات أن تكون، أو تشكل، أي نصيحة مالية أو استثمارية أو تجارية أو أنواع أخرى من النصائح أو التوصيات المقدمة أو المعتمدة من TradingView. اقرأ المزيد في شروط الاستخدام.
إخلاء المسؤولية
لا يُقصد بالمعلومات والمنشورات أن تكون، أو تشكل، أي نصيحة مالية أو استثمارية أو تجارية أو أنواع أخرى من النصائح أو التوصيات المقدمة أو المعتمدة من TradingView. اقرأ المزيد في شروط الاستخدام.