U.S. stock night trading anomaly: Unilever's innovative model fails to gain market favor, stock price drops 9.29% at night

U.S. Stock Night Market Movements Unilever fell 9.29% in the night market. Based on recent news, On December 26, the FTC model launched by Unilever is considered the most lean and efficient model currently, shortening consumer delivery times and reducing transportation distances and carbon emissions. However, these innovations failed to immediately boost market confidence, leading to a decline in stock prices. On December 26, Unilever piloted a green energy vehicle delivery model between Shenzhen and Hong Kong. Although this initiative showcased the company's efforts in sustainability, the market remained cautious about its short-term financial impact, further depressing stock prices. On December 26, Unilever launched a series of environmentally friendly products. Although these products meet consumer demand for green and eco-friendly options, there are still doubts in the market about their ability to succeed in a fiercely competitive environment, leading to pressure on stock prices. The daily chemical industry is highly competitive, with rising demand for eco-friendly products. Stocks with High Trading Volume in the Industry Estée Lauder fell 0.28% in the night market. No significant news recently; trading is active, and capital flows are evident. Considering the sector and industry trends, the stock shows significant volatility, and specific reasons need further observation. no_news ELF Beauty fell 0.62% in the night market, with a trading volume of $42,800, and no significant news recently. Trading is active, and capital flows are evident. Considering the sector and industry trends, the stock shows significant volatility, and specific reasons need further observation. Kenvue fell 0.23% in the night market, with a trading volume of $32,700, and no significant news recently. Trading is active, and capital flows are evident. Considering the sector and industry trends, the stock shows significant volatility, and specific reasons need further observation