中泰金工量化择时周报：关键时间窗口期，有望延续反弹-20251207

• Model Name: Industry Trend Allocation Model; Model Construction Idea: The model aims to identify industry trends and allocate investments accordingly; Model Construction Process: The model uses historical data and technical indicators to identify industry trends. It focuses on industries such as liquor and non-bank financials for mid-term reversal signals, and recommends technology sectors, commercial aerospace, and consumer electronics based on the TWO BETA model. The model also shows that the battery and industrial metals sectors continue to trend upwards[2][5][7]; Model Evaluation: The model is effective in identifying industry trends and making allocation recommendations based on historical data and technical indicators[2][5][7] - Model Name: TWO BETA Model; Model Construction Idea: The model aims to recommend sectors based on their beta values; Model Construction Process: The model uses beta values to identify sectors with high growth potential. It continues to recommend the technology sector, with a focus on commercial aerospace and consumer electronics[2][5][7]; Model Evaluation: The model is effective in identifying high-growth sectors based on beta values[2][5][7] - Model Name: Timing System; Model Construction Idea: The model aims to distinguish the overall market environment using long-term and short-term moving averages; Model Construction Process: The model calculates the distance between the 120-day and 20-day moving averages of the WIND All A index. The latest data shows the 20-day moving average at 6247 and the 120-day moving average at 5930, with a difference of 5.33%. The model also considers the 5-day moving average and the trend line to determine the market's oscillating pattern[2][5][7]; Model Evaluation: The model is effective in identifying market trends and oscillations based on moving averages[2][5][7] - Model Name: Position Management Model; Model Construction Idea: The model aims to manage stock positions based on valuation indicators and short-term trends; Model Construction Process: The model uses the PE and PB ratios of the WIND All A index to determine the stock position. The PE ratio is at the 80th percentile, indicating a moderate level, while the PB ratio is at the 50th percentile, indicating a lower level. Based on these indicators and short-term trends, the model suggests a 70% stock position for absolute return products[8]; Model Evaluation: The model is effective in managing stock positions based on valuation indicators and short-term trends[8] Model Backtesting Results - Industry Trend Allocation Model, Weekly Excess Return: 1.40%[1] - TWO BETA Model, Weekly Excess Return: 1.40%[1] - Timing System, Weekly Excess Return: 1.40%[1] - Position Management Model, Weekly Excess Return: 1.40%[1]