[Market Data] The trading volume of several cross-border ETFs has significantly increased, with four leading funds collaborating to invest in Merit Interactive.
① The trading volume of multiple U.S. stock-related cross-border ETFs has significantly increased, with the S&P 500 ETF (159612) experiencing a 311% increase in trading volume compared to yesterday. ② Merit Interactive, a DeepSeek concept stock, received a total purchase of 0.569 billion from four major institutional seats.
New themes are gradually emerging as market styles shift between high and low, but the strength of the Technology mainline's recovery remains crucial.
Yesterday, the market continued to adjust, and all three major Indexes fell, returning to a consolidation structure in the short term.
The computing power stocks are strongly rebounding, and Nonferrous Metals are迎来 a new rotation opportunity.
Yesterday, the market withstood the impact of the drop in the external market and successfully rebounded from the lows, with all three major Index closing in the green. However, due to the further contraction in trading volume, the short-term market still leans towards chaos, and may face a choice of direction in the future.
Siasun Robot&Automation, Deepseek and other main themes are repeatedly active, pay attention to the possibility of further differentiation after the emotional climax.
Track the entire lifecycle of the main Sector.
The DeepSeek Concept may enter a phase of reduction and focus, pay attention to the recovery strength of the high-standard money-losing effect.
Track the entire lifecycle of the main Sector.
DeepSeek's popularity surged over the weekend, and related industry chain companies are expected to ride the wave.
① The AI company DeepSeek, under the Algo brand Huange, became an overnight sensation, trending across major mainstream media and social media in the USA. ② A report from CITIC SEC indicates that the smaller parameter size of the DeepSeek model compared to the GPT-4 model also means lower inference costs, and the reduction in inference costs will be a precursor to the widespread adoption of AI applications.