GUOTAI HAITONG SECURITIES·2026-01-20 11:45Quantitative Factors and Construction Methods 1. Factor Name: Large Order Transaction Amount Ratio - Factor Construction Idea: This factor captures the buying behavior of large funds by analyzing the proportion of large order transaction amounts relative to the total daily transaction amount[7] - Factor Construction Process: 1. Use tick-by-tick transaction data to identify buy and sell orders based on bid and ask sequence numbers 2. Filter transactions by order size to identify large orders 3. Calculate the proportion of large buy order transaction amounts to the total daily transaction amount Formula: $ \text{Large Order Transaction Amount Ratio} = \frac{\text{Large Buy Order Transaction Amount}}{\text{Total Daily Transaction Amount}} $ - Factor Evaluation: This factor effectively reflects the buying behavior of large funds[7] 2. Factor Name: Net Active Buy Amount Ratio - Factor Construction Idea: This factor measures the active buying behavior of investors by calculating the net active buy amount as a proportion of the total daily transaction amount[7] - Factor Construction Process: 1. Use tick-by-tick transaction data to classify each transaction as either active buy or active sell based on trade direction 2. Subtract the active sell transaction amount from the active buy transaction amount to obtain the net active buy amount 3. Calculate the proportion of the net active buy amount to the total daily transaction amount Formula: $ \text{Net Active Buy Amount Ratio} = \frac{\text{Active Buy Amount} - \text{Active Sell Amount}}{\text{Total Daily Transaction Amount}} $ - Factor Evaluation: This factor provides insights into the active buying behavior of investors[7] --- Factor Backtesting Results 1. Large Order Transaction Amount Ratio - Top 5 Stocks by 5-Day Average: 1. 惠博普 (92.6%, 99.6% percentile)[9] 2. 美年健康 (89.6%, 99.2% percentile)[9] 3. 志特新材 (89.2%, 99.2% percentile)[9] 4. 津滨发展 (88.4%, 99.6% percentile)[9] 5. 江南高纤 (87.7%, 98.8% percentile)[9] 2. Net Active Buy Amount Ratio - Top 5 Stocks by 5-Day Average: 1. 杭萧钢构 (16.7%, 99.8% percentile)[10] 2. 纬德信息 (15.4%, 100.0% percentile)[10] 3. 中科微至 (15.0%, 99.6% percentile)[10] 4. 新风光 (13.8%, 100.0% percentile)[10] 5. 联合水务 (13.3%, 97.5% percentile)[10] 3. Broad-Based Indices - Large Order Transaction Amount Ratio (5-Day Average): - 上证指数: 73.8% (12.8% percentile)[12] - 上证50: 70.6% (64.2% percentile)[12] - 沪深300: 73.1% (64.2% percentile)[12] - 中证500: 73.0% (6.6% percentile)[12] - 创业板指: 71.6% (90.1% percentile)[12] - Net Active Buy Amount Ratio (5-Day Average): - 上证指数: -5.8% (86.8% percentile)[12] - 上证50: -12.9% (90.5% percentile)[12] - 沪深300: -8.8% (89.3% percentile)[12] - 中证500: -3.4% (86.0% percentile)[12] - 创业板指: -4.4% (84.8% percentile)[12] 4. Industry-Level Results - Top 5 Industries by Large Order Transaction Amount Ratio (5-Day Average): 1. 房地产: 79.8% (90.1% percentile)[13] 2. 煤炭: 78.5% (66.3% percentile)[13] 3. 钢铁: 78.2% (42.8% percentile)[13] 4. 建筑: 77.9% (24.3% percentile)[13] 5. 综合: 77.8% (50.6% percentile)[13] - Top 5 Industries by Net Active Buy Amount Ratio (5-Day Average): 1. 房地产: -9.5% (95.1% percentile)[13] 2. 电子: 2.2% (78.6% percentile)[13] 3. 汽车: 0.9% (60.9% percentile)[13] 4. 家电: 0.1% (84.4% percentile)[13] 5. 通信: -4.7% (89.7% percentile)[13] 5. ETFs - Top 5 ETFs by Large Order Transaction Amount Ratio (5-Day Average): 1. 华泰柏瑞中证A500ETF (92.9%, 96.3% percentile)[15] 2. 易方达中证A500ETF (91.6%, 100.0% percentile)[15] 3. 国泰中证A500ETF (91.5%, 15.6% percentile)[15] 4. 华泰柏瑞沪深300ETF (91.0%, 99.2% percentile)[15] 5. 易方达沪深300ETF (91.0%, 99.6% percentile)[15] - Top 5 ETFs by Net Active Buy Amount Ratio (5-Day Average): 1. 东财上证科创板50成份ETF (23.4%, 100.0% percentile)[16] 2. 海富通上证城投债ETF (20.9%, 88.5% percentile)[16] 3. 国泰上证10年期国债ETF (15.6%, 61.3% percentile)[16] 4. 富国创业板人工智能ETF (14.3%, 65.9% percentile)[16] 5. 嘉实中证稀土产业ETF (14.1%, 92.6% percentile)[16]