- The report introduces a **comprehensive allocation strategy model** that is updated monthly based on industry prosperity signals. The model allocates weights to industries with upward or stable prosperity signals, with stable industries receiving half the weight of upward industries. The strategy aims to optimize sector allocation by focusing on industries with low crowding levels and favorable prosperity trends. [4][33] - The **industry crowding monitoring indicator** is used to identify sectors with high crowding levels. As of October 9, 2025, five industries—non-ferrous metals, machinery equipment, electronics, communication, and comprehensive—triggered crowding signals, with their crowding indicators exceeding the 95% warning threshold. This suggests a cautious approach to these sectors. [3][30][31] - The report highlights the **industry divergence degree indicator**, calculated as the difference between the average growth rate and the median growth rate of the Shenwan first-level industry index. The 20-day moving average of this indicator reached the 93.7% percentile as of October 9, 2025, indicating historically high divergence. The report suggests that industry divergence tends to revert to the mean over time, implying potential for low-performing sectors to rebound. [1][11][13] - The **basic quantitative model for industry prosperity** is applied to assess the outlook for various sectors. For example, the automotive industry is expected to benefit from both domestic and international demand recovery, driven by macroeconomic improvements and global fiscal expansion. Similarly, the home appliance sector is projected to experience growth due to reduced production costs and increased export demand. The agriculture, forestry, animal husbandry, and fishery sector is highlighted for potential recovery due to the recent negative profitability in pig farming, which may accelerate capacity reduction and stimulate a turnaround. [17][18][22][24] - **Performance metrics of the comprehensive strategy model**: Over the last month (2025/9/7-2025/9/30), the strategy achieved a return of 0.1%, with excess returns of -4.6% and -4.3% relative to the industry equal-weight index and CSI 800, respectively. Over the last three months, the strategy returned 13.6%, compared to 26.3% for the equal-weight index and 19.3% for CSI 800. Over the last six months, the strategy returned 25.6%, compared to 40.1% for the equal-weight index and 32.1% for CSI 800. Year-to-date (2025/1/2-2025/9/30), the strategy returned 14.1%, compared to 29.5% for the equal-weight index and 20.9% for CSI 800. [4][33][36]