
UBS analyst Mark Haefele, in his note to investors, provides a historical perspective on concerns about market peaks when indices hit all-time highs. He states that such worries are not supported by historical data. In other words, reaching new highs does not necessarily indicate that the market has peaked and is due for a correction. Instead, he suggests that investors should remain confident in the market's potential for further growth.

The S&P 500 reaching a new all-time high for the 21st time this year can be attributed to several factors:
Resilient U.S. economy: The U.S. economy has shown strength and resilience despite various challenges, which has positively impacted the stock market.
Speculation of Fed rate cuts: There is growing speculation that the Federal Reserve will soon cut interest rates, which has helped to justify stretched valuations and boost the stock market.
Strong performance of individual stocks: Several high-profile stocks in the S&P 500 have shown significant growth potential, with some expected to soar as much as 91%. This includes companies such as Super Micro Computer and Microsoft, which have benefited from their leading positions in the AI and cloud computing markets, respectively.
Investor optimism: Investor sentiment and confidence in the market have played a crucial role in driving the S&P 500 to new heights. Despite concerns over market peaks, historical data suggests that all-time highs often lead to further gains.
In summary, the S&P 500's new all-time high can be attributed to a combination of a robust U.S. economy, expectations of lower interest rates, strong performance of individual stocks, and overall investor optimism.

In the fiscal 2024 third quarter, Super Micro Computer experienced significant growth compared to the previous year. The company's revenue surged 201% year over year to $3.85 billion, while its adjusted earnings per share (EPS) jumped 329% to $6.56. This substantial increase in revenue and earnings demonstrates the company's strong performance and its ability to navigate complexity and scale in the AI server market.