The Nasdaq lost 4.5% in a week, tech stocks were sold off almost indiscriminately, while the Dow actually rose—the divergence in U.S. stocks last week deserves closer scrutiny than the headline figures suggest. At the close on October 16, the S&P 500 stood at 7,659.44, down about 1.9% for the week; the Nasdaq stood at 26,140.03, down about 4.5%, including a 2.1% drop on Friday alone; the Dow stood at 52,002.41, up about 0.7%; and the Russell 2000 fell about 3.0%. The pressure was clearly concentrated in areas like tech and small caps, which are more sensitive to financing costs and long-term growth. On Friday, only 7 of the S&P tech sector’s 75 constituents avoided a decline. Micron, AMD, Broadcom, and Intel fell 5.6%, 6.0%, 4.5%, and 5.8%, respectively, in a single day.
Inflation data added fuel to the fire. September CPI rose 3.7% year over year, up from 3.4% in August, and 0.6% month over month. Gasoline prices jumped 9.1%, accounting for more than half of the month’s overall increase. The following day, September final-demand PPI was reported up 1.3% month over month and 6.3% year over year. CPI and PPI use different measures, so PPI cannot be treated directly as a forecast for future CPI. But taken together, they show that cost pressures are still present. The market is now asking: How much will AI computing infrastructure require in investment, who will bear the financing costs, and when will revenue be enough to cover capital spending?
The simultaneous pressure on CoreWeave’s stocks and bonds brought this question into focus: secondary-market bond yields rose, and investors began reassessing the relationship between computing contracts, equipment values, and debt maturities. Volatility in one company’s bonds does not prove that the entire AI cycle has peaked, but it reminds the market that the size of an order book is not the same as cash collected, and a revenue backlog is not the same as profit already realized. Meta, Tesla, and Netflix report earnings one after another this week, putting the market to the test on three fronts at once: earnings, inflation, and financing costs.
$BTC , meanwhile, has been relatively steady, currently at 82,594.0, up 1.34% over the period, with a high of 83,158.0 and a low of 80,684.36, trading above $81,000. While tech stocks are under pressure, BTC has not followed them sharply lower. This week’s earnings season will provide some answers about how long that divergence can last.
$USDT #比特币 #纳指 #U.S. earnings season
Inflation data added fuel to the fire. September CPI rose 3.7% year over year, up from 3.4% in August, and 0.6% month over month. Gasoline prices jumped 9.1%, accounting for more than half of the month’s overall increase. The following day, September final-demand PPI was reported up 1.3% month over month and 6.3% year over year. CPI and PPI use different measures, so PPI cannot be treated directly as a forecast for future CPI. But taken together, they show that cost pressures are still present. The market is now asking: How much will AI computing infrastructure require in investment, who will bear the financing costs, and when will revenue be enough to cover capital spending?
The simultaneous pressure on CoreWeave’s stocks and bonds brought this question into focus: secondary-market bond yields rose, and investors began reassessing the relationship between computing contracts, equipment values, and debt maturities. Volatility in one company’s bonds does not prove that the entire AI cycle has peaked, but it reminds the market that the size of an order book is not the same as cash collected, and a revenue backlog is not the same as profit already realized. Meta, Tesla, and Netflix report earnings one after another this week, putting the market to the test on three fronts at once: earnings, inflation, and financing costs.
$BTC , meanwhile, has been relatively steady, currently at 82,594.0, up 1.34% over the period, with a high of 83,158.0 and a low of 80,684.36, trading above $81,000. While tech stocks are under pressure, BTC has not followed them sharply lower. This week’s earnings season will provide some answers about how long that divergence can last.
$USDT #比特币 #纳指 #U.S. earnings season