过去一周，市场风格出现显著切换。偏防守的价值因子以及代表交易博弈的量价类因子（波动率、技术）表现强势。 而此前表现优异的成长因子和一致预期因子则有所回撤。这反映出在震荡环境下，资金暂时脱离了业绩驱逻辑，转而 寻求低估值防御。展望未来一周，考虑到年末资金避险情绪，我们预期价值因子的防御属性仍将受捧，同时量价类因 子有望延续活跃态势，而成长风格短期或需等待拥挤度消化后的企稳。 以上结果通过历史数据统计、建模和测算完成，在政策、市场环境发生变化时模型存在失效的风险。 过去一周，国内主要市场指数平稳，其中上证 50、沪深 300、中证 500 和中证 1000 涨跌幅分别为 0.61%、-0.15%、 0.01%和-0.56%。 微盘股指标监控：综合来看，当前轮动模型由于微盘股滚动 20 天斜率收负，茅指数为正斜率，当前轮动模型发出切 换至茅指数信号，中期配置茅指数的预期能有更高相对收益。从中期微盘股择时角度来看，目前风控信号还没触发， 但能看到波动率拥挤率正在快速上行，风险有明显聚集。对于持有微盘板块投资者建议做好风险控制，以及密切跟踪 相对净值、动量及中期风险指标的动态。 过去一周，政策端进入了高频落地的执行期， ...

Group 1 - The core viewpoint is that quantitative strategies in investment rely on diverse data sources, including traditional financial reports and non-traditional data such as social media sentiment and supply chain information, to generate forward-looking investment signals [1][2] - The performance of growth factors has been relatively strong in the current year, indicating a favorable market environment for growth-oriented investments [1] - A rich factor library is essential for diversifying sources of returns and enhancing cyclical resilience, necessitating regular updates to the factor pool to include both economically supported and algorithmically derived factors [1] Group 2 - Continuous model iteration and an open attitude towards new technologies, particularly AI, are crucial for improving the efficiency of factor development and constructing stronger predictive signals [2] - The application of AI in quantitative investment processes has become increasingly prevalent, including the use of large models for text data analysis and advanced models like transformers for end-to-end factor mining [2]

- The report discusses the performance of major market indices in China over the past week, highlighting that the SSE 50, CSI 300, CSI 500, and CSI 1000 indices all experienced gains, with respective increases of 1.93%, 2%, 1.6%, and 2.22%[2][12] - The report mentions the release of April inflation data in China, noting that the PPI was -0.27% year-on-year, down 0.2% from the previous month, and the CPI was -0.1% year-on-year, unchanged from the previous month[3][20] - The People's Bank of China announced ten specific measures, including a 0.5% reserve requirement ratio cut and a 0.1% interest rate cut, which positively impacted the banking sector[3][20] - The report highlights the implementation of the "Action Plan to Promote High-Quality Development of Public Funds" by the China Securities Regulatory Commission, which aims to ensure that fund managers' performance compensation is significantly reduced if their products underperform the benchmark by more than 10% over three years[3][20] - The report suggests that fund managers will focus more on closely tracking performance benchmarks and allocating funds to large-cap stocks to reduce market volatility and avoid significant style deviations[3][20] - The report recommends maintaining core positions in large-cap value stocks and tactically switching to financial and domestic consumption sectors for the upcoming week[4][21] - The report discusses the micro-cap stock index timing and rotation indicators, noting that the micro-cap stock index relative net value crossed above the annual line on October 14, 2024, and the trend has continued since then[5][30] - The micro-cap timing model uses two mid-term risk warning indicators: the ten-year government bond yield year-on-year indicator and the volatility congestion degree year-on-year indicator. As of October 15, 2024, the volatility congestion degree indicator fell below the threshold, and the ten-year government bond yield indicator was -20.45%, not triggering the risk control threshold of 0.3[5][30] - The report tracks the performance of eight major stock selection factors across different stock pools (all A-shares, CSI 300, CSI 500, and CSI 1000). The market capitalization factor performed best in the CSI 300 stock pool, while the reversal factor performed well in the CSI 500 and CSI 1000 stock pools[39][40] - The report notes that due to continued market volatility, volume-price factors maintained good performance, and small-cap stocks performed well, driving the market capitalization factor upward. The value factor also performed well due to the positive impact of the reserve requirement ratio cut on low-valuation sectors like banking[40] - The report provides the IC mean and long-short returns for the major factors, showing that the volatility factor achieved positive returns in the all A-shares stock pool, indicating some stability[41] - The report discusses the construction of quantitative bond selection factors for convertible bonds, tracking the performance of five bond selection factors. The equity growth factor achieved positive long-short returns last week[45][46] - The report includes detailed definitions and classifications of major factors, such as market capitalization, value, growth, quality, consensus expectations, technical, volatility, and reversal factors[51]