A big company called Nvidia, which makes special computer parts for things like video games and artificial intelligence, had a really good few months and made a lot of money. People who own part of this company (called shares) were very happy because the company did better than they expected. This made the price of the shares go up, so now it is more expensive to buy one share. Some smart people knew that Nvidia would do well before everyone else, and they told their best customers privately (these are called whisper numbers). People who use special tools and information can find out these whisper numbers and make good decisions about when to buy or sell shares of a company. Read from source...

1. The title is misleading and sensationalized. It implies that Nvidia earnings are a hidden gem, but the article does not provide any evidence or reasoning to support this claim. Instead, it focuses on the technical aspects of the stock chart and the gap up after the earnings report, which are common occurrences in the market and do not necessarily indicate long-term value or growth potential for Nvidia.
2. The author uses vague and subjective terms like "big picture" and "the difference between whisper numbers and the reported numbers" without explaining what they mean or how they are relevant to the investment thesis. This creates confusion and ambiguity for the readers who might not be familiar with these concepts or their implications.
3. The author cites RSI (relative strength index) as a technical indicator to show that NVDA stock is overbought, but does not provide any context or explanation of how this affects the current market situation or future performance. RSI is a momentum indicator that measures the speed and change of price movements, but it can also be subject to false signals and overfitting if used without proper filters or adjustments.
4. The author does not address any of the potential risks or challenges facing Nvidia as a company, such as competition from other chip makers, regulatory issues, supply chain disruptions, or changing consumer preferences for different types of products or services. These factors could have a significant impact on Nvidia's profitability and valuation in the long run, but are ignored by the author in favor of focusing on short-term market reactions and technical indicators.
5. The author does not provide any sources or citations for his claims or data, making it difficult to verify or corroborate his arguments. This raises questions about the credibility and reliability of the article, as well as its usefulness for readers who are looking for informed and objective analysis of Nvidia's earnings and prospects.
6. The author shows a clear bias towards Nvidia and its performance, using positive adjectives like "gap up", "broken out", "significantly better than the consensus" without acknowledging any counterarguments or alternative perspectives. This creates an impression of advocacy rather than journalism, which could influence the readers' perceptions and decisions in ways that are not aligned with their own interests or goals.

Positive

Key points from the article:
- Nvidia reported earnings significantly better than the consensus but in line with the whisper numbers.
- NVDA stock has broken out from a technical perspective and shows an overbought RSI on the chart.
- The chart shows a gap up in NVDA stock after earnings, indicating strong investor demand and confidence.

1. Buy NVDA at the current price or on any significant dips, as it is a leader in the AI industry and has strong growth potential. The recent earnings report shows that the company is performing well above expectations and has a loyal customer base of data centers, cloud service providers, and autonomous vehicles.
2. Consider investing in AI factories, which are companies that provide hardware and software solutions for AI applications. Some examples include NVIDIA, Advanced Micro Devices (AMD), and Intel (INTC). These companies have a competitive edge in the rapidly growing AI market and can benefit from increasing demand for AI-based products and services.
3. Explore investing in sovereign funds, which are government-owned investment funds that allocate capital to various sectors, including technology and innovation. Some examples include Saudi Arabia's Public Investment Fund (PIF), Singapore's GIC, and Abu Dhabi's Mubadala. These funds have significant resources and can provide long-term support for promising AI companies and projects.
4. Be aware of the risks associated with investing in the AI sector, such as high volatility, regulatory uncertainties, and potential competition from other technologies. Monitor the market trends and the performance of your portfolio regularly to make informed decisions and adjustments when necessary.