策略周报：“春躁”调整期，静待AI催化-20260208

Core Insights - The report indicates that the "Spring Fever" market is entering a phase of adjustment, with expectations for technology growth to regain prominence post-holiday, particularly in AI applications which may see a rebound [2][12] - The report emphasizes that while there are short-term fluctuations in the non-ferrous metals sector, the long-term re-evaluation logic remains intact, driven by financial attributes and industrial trends [13] - AI applications are anticipated to experience a bottoming rebound, with significant updates expected from leading domestic firms around the Spring Festival, suggesting potential investment opportunities in the AI industry chain [30][31] Market Overview - The market is currently characterized by a shrinking volume and oscillating patterns, with structural opportunities still present despite a lack of systemic rebound momentum [12] - The report notes that the recent volatility in overseas commodity prices has contributed to a weakening market, with a rotation among sectors and active individual stocks [12][23] - The report highlights that the consumer sector is beginning to recover, while previously overvalued technology and non-ferrous sectors are undergoing adjustments [12] Industry and Economic Data - The report provides insights into key economic indicators, such as the ISM manufacturing PMI in the US, which rose to 52.6, and China's foreign exchange reserves, which increased to $33,990.8 million [17] - It also notes that the non-ferrous metals sector is facing increased short-term volatility, but the long-term demand-supply dynamics remain favorable due to tightening global copper supply and emerging demand [13] AI Sector Insights - The report discusses the recent downturn in the AI industry, driven by uncertainties surrounding business models and real demand, particularly following Microsoft's financial disclosures and Nvidia's investment stance on OpenAI [27][28] - It argues that traditional SaaS companies are well-positioned to leverage their industry knowledge and data advantages to build new barriers in the AI era, despite market concerns about self-built AI systems being inefficient and costly [29] - The report anticipates that the upcoming updates from major AI models around the Spring Festival could catalyze a rebound in AI applications, suggesting a focus on investment opportunities in AI applications, cloud services, and storage [30][31]