蛇年美股大复盘：从暴跌6.6万亿到AI“四万亿俱乐部”崛起

Group 1 - The U.S. stock market experienced significant volatility and structural differentiation during the Year of the Snake, with major indices showing mid-tier performance globally, while the internal dynamics highlighted a clear "tech-traditional" dichotomy [1] - Major memory chip companies such as Western Digital, Micron Technology, and Seagate Technology saw dramatic stock price increases of 495%, 368%, and 333% respectively, marking them as the biggest winners [1] - Gold mining stocks like Gold Rush, Newmont, and Barrick Gold also surged over 226%, correlating with the significant rises in COMEX silver (150.21%) and gold (82.97%) prices [1] Group 2 - Following the unexpected global tariff policy introduced by the Trump administration, the S&P 500 experienced a two-day drop of 10.53%, resulting in a market capitalization loss of $6.6 trillion, while the Nasdaq and Russell 2000 entered a technical bear market [2] - The market rebounded dramatically, with the Nasdaq soaring 12% in a single day and the S&P rising nearly 10%, driven by AI giants like Nvidia, which saw its market cap exceed $4 trillion and $5 trillion, surpassing the combined market cap of the UK and French stock markets [2] - Traditional stocks represented by companies like Goldman Sachs and Caterpillar began to rise, indicating a shift in capital towards cyclical sectors amidst increasing caution regarding tech monopolies [2] Group 3 - Looking ahead to 2026, there is a notable divergence in outlook among major investment banks: Morgan Stanley is optimistic, predicting the S&P 500 will rise to 7800 points, favoring small-cap, cyclical, and financial sectors due to expected profit growth and AI efficiency [3] - Morgan Chase suggests a "structural bull market" with a target of 7500 points for the S&P, while Goldman Sachs warns of economic slowdown risks in the second half of the year, indicating limited rotation potential [3] - The Year of the Snake showcased a dramatic narrative in the capital markets, transitioning from tariff-induced declines to AI-driven exuberance, raising questions about the sustainability of growth in AI and the potential for traditional industries to overcome concentration challenges [3]