--- title: "March 31st, Top 20 Trading Volumes in US Stocks: NVIDIA Falls into Bear Market Territory" type: "News" locale: "en" url: "https://longbridge.com/en/news/281076075.md" description: "On Monday, among the top 20 trading volumes in the US stock market, NVIDIA fell 1.40%, with a trading volume of $30.467 billion and a stock price of $165.17, having entered bear market territory. Micron Tech dropped 9.88%, with a trading volume of $24.175 billion, as concerns grew over AI's impact on memory demand. Meta Platforms rose 2.03%, as it expands the infrastructure for its AI projects" datetime: "2026-03-30T20:58:52.000Z" locales: - [zh-CN](https://longbridge.com/zh-CN/news/281076075.md) - [en](https://longbridge.com/en/news/281076075.md) - [zh-HK](https://longbridge.com/zh-HK/news/281076075.md) --- > Supported Languages: [简体中文](https://longbridge.com/zh-CN/news/281076075.md) | [繁體中文](https://longbridge.com/zh-HK/news/281076075.md) # March 31st, Top 20 Trading Volumes in US Stocks: NVIDIA Falls into Bear Market Territory On Monday, the most traded stock in the U.S. market, NVIDIA, fell by 1.40%, with a trading volume of $30.467 billion. NVIDIA closed at $165.17 today, down 20.2% from the closing price of $207.02 on October 29, 2025, marking the stock's entry into bear market territory. French artificial intelligence company Mistral AI announced on Monday that it has raised $830 million through its first round of debt financing, funded by a consortium of banks. The funds will be used to build a data center near Paris, which is expected to deploy approximately 13,800 NVIDIA GB300 graphics processors. Although NVIDIA does not disclose the pricing of individual chips, analysts estimate that a rack containing 72 such GPUs is priced at around $3 million. Based on this figure, the new facility could involve approximately $575 million worth of NVIDIA hardware. The second most traded memory concept stock, Micron Technology, fell by 9.88%, with a trading volume of $24.175 billion. The stock has dropped over 20% this month. Recently, Google released its TurboQuant technology, triggering a collective decline in the global semiconductor sector, as the market worries about the decreasing elasticity of AI demand for memory. Reports indicate that Google's TurboQuant technology aims to compress AI inference memory usage, potentially alleviating reliance on high-end storage products like HBM. This decline does not negate AI demand but rather represents a reassessment of the "AI memory scarcity narrative," as investors begin to correct the previously high premiums based on hardware stacking logic. In the future, the semiconductor sector may enter a phase of differentiation, with varying degrees of impact on different manufacturers, as funding behavior shifts from chasing gains to validation, leading to increased short-term volatility. Ranked fourth, Meta Platforms rose by 2.03%, with a trading volume of $12.062 billion. Meta Platforms is further venturing into fossil fuel-based infrastructure to expand its potentially power-intensive AI projects, highlighting the significant push in AI development. According to the utility company, Meta has reached an agreement with Entergy to fund seven additional natural gas power plants related to its Hyperion data center located in rural Louisiana. This expands the previously approved three facilities to a total of ten power plants, expected to provide over 7 gigawatts of power, making Hyperion Meta's largest data center project. The scope of the project appears to extend far beyond power generation capabilities. Entergy Louisiana stated that Meta will also fund the construction of approximately 240 miles of transmission lines connecting northern and southern Louisiana to Arkansas, while investing in battery storage and nuclear power plant capacity expansion. The data center itself is expected to provide around 5 gigawatts of computing power, with additional capacity supporting a broader campus. Following the announcement, Entergy's stock price briefly rose by 7.2%, reaching an all-time high, indicating that investors may have reacted positively to the long-term visibility of power demand brought about by AI expansion The 5th ranked memory concept stock SanDisk fell by 7.04%, with a transaction volume of $11.947 billion. On Monday, U.S. stocks in the optical communication and storage sectors generally declined. The 9th ranked Broadcom fell by 2.42%, with a transaction volume of $8.187 billion. An executive from Broadcom recently stated that its manufacturing partner TSMC's capacity is nearing its limit, and the entire industry is facing broader supply chain constraints amid surging demand for artificial intelligence chips. "We see that TSMC's capacity has reached its limit," said Natarajan Ramachandran, Director of Product Marketing for Broadcom's Physical Layer Products Division. "They will increase capacity before 2027, but this has already become a bottleneck, or has hindered the supply chain as of 2026," he added. The 12th ranked Palantir fell by 3.85%, with a transaction volume of $5.633 billion. The stock has dropped 22.6% year-to-date. The 14th ranked TSMC fell by 3.13%, with a transaction volume of $4.972 billion. Recently, it was reported that TSMC's 3nm capacity has reached its limit, only able to meet the demands of long-term key customers and major cloud AI companies. The 15th ranked Lumentum fell by 6.82%, with a transaction volume of $4.895 billion. On Monday, U.S. stocks in the optical communication and storage sectors generally declined. The 16th ranked Intel fell by 4.50%, with a transaction volume of $3.481 billion. Recently, Intel and AMD have each notified customers that they will raise prices on their entire range of CPUs starting in March and April, respectively. Several insiders revealed that CPU prices have been raised multiple times this year, with an average increase of 10% to 15%, and some products seeing even higher increases. At the same time, CPU delivery times have surged from the previous one to two weeks to an average of eight to twelve weeks, with some cases extending to six months. 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