AI应用+军工双爆发！硬件退潮、热点转向

Market Overview - The A-share market experienced a "downward inertia, bottoming rebound, and volume contraction with broad gains" after last week's significant drop, indicating a technical rebound in market sentiment [1] - As of the close on November 24, the Shanghai Composite Index rose by 0.05% to 3,836.77 points, the Shenzhen Component Index increased by 0.37% to 12,585.08 points, and the ChiNext Index gained 0.31% to 2,929.04 points, with total trading volume at 1.7 trillion yuan, a decrease of 243.3 billion yuan from the previous Friday [2][3] Technical Analysis - The Shanghai Composite Index formed a small bullish candlestick above the 3,800-point level, indicating a typical technical resistance after a sharp decline [3] - Despite the broad gains in individual stocks, heavyweight stocks showed weak performance, and the lack of volume support suggests that the rebound may not be solid [3] - Key observations include whether the volume-contracted rebound can continue, if AI applications can take over from hardware as the new mainline, and whether the 3,865-point resistance can be broken [3] Industry and Hotspot Capture - A significant style switch occurred in the market, with funds abandoning lithium battery resources and computing hardware in favor of AI applications and military aerospace, marking a shift from supply-side speculation to demand-side investment [4] - AI applications saw a collective surge, with companies like BlueFocus, Shengrui, and others experiencing significant gains, driven by Alibaba's "Qianwen" app surpassing 10 million downloads and strong performance in US AI application stocks [5][6] - The military and commercial aerospace sectors also saw strong performance, driven by geopolitical tensions and policy expectations, with companies like Jianglong Shipbuilding and others benefiting from these trends [7] Forward Strategy - The current market shows a technical rebound after a sharp decline, with a focus on two signals: whether the 3,865-point resistance can be broken and if the AI application sector can maintain its momentum [8] - Mid-term strategies should focus on new mainlines such as AI applications and military aerospace while avoiding high-position hardware and pure resource themes [9] - Short-term strategies should consider low-position sectors with event-driven catalysts, employing a strategy of "mainline rotation, high-low switching, and rhythm management" to navigate the volatile market [10][11]