兴业证券：国庆假期后市场窗口期 结构上科技成长占优

Group 1 - The core viewpoint is that the period after the National Day holiday is a traditional window for risk appetite to rise, with a significant increase in market win rates, particularly favoring technology growth sectors [1][2] - Historically, after the National Day holiday, the broad market indices show a notable increase in win rates, with growth styles being more dominant, especially in sectors represented by TMT, advanced manufacturing, and export chains [1][2] Group 2 - In October, the hardware segment within TMT is expected to outperform due to earnings disclosures, the concentration of new product launches, and the upcoming Double Eleven sales season [4] - The effectiveness of investment in sectors with favorable economic conditions is expected to increase in October, as the correlation between stock price movements and earnings growth improves as the third-quarter report disclosure period approaches [6] Group 3 - Since September, the industries with upward revisions in profit expectations are primarily concentrated in AI (gaming, computer equipment, communication devices, components), advanced manufacturing (motorcycles, aerospace equipment, home appliance components, batteries, medical services), cyclical sectors (non-ferrous metals, glass fiber, steel, agricultural chemicals), consumption (beverages, dairy products, seasoning and fermentation products, pet economy, jewelry), and finance (brokerage, insurance, city commercial banks) [7][9] - The profit revision ratios and expected profit growth rates for various sectors indicate a strong performance in technology, advanced manufacturing, and cyclical sectors, with notable companies highlighted in each category [9] Group 4 - The intensity of industry rotation is expected to converge in October, with a consensus forming around the economic growth themes as the market focuses on the clues from the third-quarter reports [10][11] - October is identified as a traditional window for the convergence of industry rotation intensity and market consensus, suggesting a structural focus on key themes for trading [10][11]