Nvidia is a big company that makes special computer chips for things like video games and self-driving cars. They are doing really well because of something called AI, which stands for artificial intelligence. People who have Nvidia shares are very happy with how much money they are making from it. Read from source...

1. The author uses a misleading title to attract attention, implying that there is an imminent risk event ahead for Nvidia earnings. However, the content of the article does not provide any evidence or reasoning for this claim, nor does it specify what kind of risk event is anticipated. This creates a sense of urgency and fear among readers without justification.
2. The author repeatedly praises NVDA as the best performing large stock and the leader of the AI revolution, without providing any objective or verifiable data to support this claim. This shows a clear bias in favor of NVDA and a lack of critical analysis of its performance and prospects. Moreover, the author seems to imply that investing in NVDA is the only way to benefit from the AI frenzy, ignoring other potential opportunities or competitors in the field.
3. The author relies on unverified whisper numbers for NVDA earnings and revenue, which are likely to be speculative and inaccurate. This creates a false impression of certainty and confidence in NVDA's performance, while actually misleading readers about the actual expectations and risks involved. Furthermore, the author does not disclose his or her sources or methodology for obtaining these numbers, which raises questions about their credibility and reliability.
4. The author describes the sentiment in NVDA as extreme positive, without providing any evidence or statistics to back up this claim. This could be interpreted as a self-fulfilling prophecy, where the author creates a positive feedback loop of hype and excitement around NVDA, which then drives more buying and inflates the stock price even further. However, this also ignores the possibility that there may be other factors or signals that indicate a different sentiment or outlook for NVDA, such as insider selling, analyst downgrades, or technical indicators.
5. The author suggests that investors who do not own NVDA are missing out on a great opportunity and should buy it now, without considering the potential risks or drawbacks of doing so. This shows an emotional behavior and a lack of rational decision making, as well as a disregard for diversification and portfolio management. The author also compares NVDA to TSLA, another highly volatile and speculative stock, which may not be a fair or relevant comparison.
6. The author claims that NVDA earnings will determine the near term course of the stock market, without providing any data or analysis to support this claim. This is an exaggeration and an oversimplification, as there are many other factors that influence the stock market performance and trends, such as economic indicators, global events, sector rotation, etc. The author also ignores the possibility of negative surprises

1. Buy NVDA before earnings on high volume. 2. Sell any other stock in your portfolio that is not related to AI or EV. 3. Use stop-loss orders for all positions. 4. If NVDA gaps up after earnings, buy more on dips. 5. If NVDA disappoints, sell immediately and switch to bear market strategies. 6. Do not chase junk stocks or penny stocks. They are very risky and unreliable.