- **Tracking indicators and calculation methods** The report uses two key metrics: the proportion of large buy order transaction amounts and the proportion of net active buy transaction amounts. The large buy order transaction amount proportion reflects the buying behavior of large funds. It is calculated by restoring tick-by-tick transaction data into buy and sell order data based on bid and ask sequence numbers, filtering for large orders by transaction volume, and computing the proportion of large buy order transaction amounts relative to the total daily transaction amount. The net active buy transaction amount proportion reflects investors' active buying behavior. It is calculated by identifying whether each transaction is an active buy or sell based on tick-by-tick transaction data, subtracting active sell transaction amounts from active buy transaction amounts, and computing the proportion of net active buy transaction amounts relative to the total daily transaction amount[7] - **Individual stock tracking** The report tracks individual stocks based on the two metrics mentioned above. For the past 5 trading days (20260323-20260327), the top 10 stocks with the highest average proportion of large buy order transaction amounts include New Energy Taishan (93.2%), Snow Wave Environment (85.7%), and Zhongli Group (85.4%). Similarly, the top 10 stocks with the highest average proportion of net active buy transaction amounts include Zhen De Medical (16.7%), China General Nuclear (15.9%), and Zhejiang Energy Power (12.6%)[9][10] - **Broad-based index tracking** The report applies the same metrics to major broad-based indices. For the past 5 trading days, the average proportion of large buy order transaction amounts for indices such as the Shanghai Composite Index, SSE 50, and CSI 300 ranged from 69.5% to 73.7%. The average proportion of net active buy transaction amounts for these indices ranged from 1.0% to 3.2%[12] - **Sector tracking** The report tracks the metrics across various sectors based on the CITIC primary industry classification. For the past 5 trading days, sectors such as coal (78.4%), steel (78.7%), and real estate (78.9%) had high proportions of large buy order transaction amounts. Sectors like medicine (12.3%), steel (10.8%), and food & beverage (10.6%) had high proportions of net active buy transaction amounts[13] - **ETF tracking** The report tracks ETFs using the same metrics. For the past 5 trading days, the top 10 ETFs with the highest average proportion of large buy order transaction amounts include Guotai CSI A500 ETF (92.4%), Huatai-PineBridge CSI A500 ETF (92.1%), and Penghua CSI Oil & Gas ETF (91.3%). The top 10 ETFs with the highest average proportion of net active buy transaction amounts include Haifutong SSE Urban Investment Bond ETF (24.4%), Fuguo ChiNext Artificial Intelligence ETF (19.4%), and Guotai SSE 10-Year Treasury Bond ETF (16.9%)[15][16]

- The report constructs indicators using transaction details data to track large purchases and net active purchases[1][7] - The large order transaction amount ratio depicts the buying behavior of large funds[7] - The net active purchase amount ratio depicts investors' active buying behavior[7] - The large order transaction amount ratio is calculated by restoring transaction data to buy and sell order data and filtering large orders based on transaction volume, then calculating the ratio of large order transaction amount to the total transaction amount of the day[7] - The net active purchase amount ratio is calculated by identifying each transaction as active buy or active sell based on transaction data, subtracting the transaction amounts of the two, and calculating the ratio of net active purchase amount to the total transaction amount of the day[7] Model Backtest Results - Large order transaction amount ratio for individual stocks (20260316-20260320): Shaoneng Co., Ltd. 86.7%, Angang Steel Co., Ltd. 85.7%, Zhongli Group 85.5%, Huadian Liaohe Energy 85.5%, Wentou Holdings 85.3%, Xining Special Steel 84.9%, Jiangyan Group 84.8%, China High-Speed Railway 84.7%, Guangshen Railway 84.6%, Shaanxi International Trust 84.6%[9] - Net active purchase amount ratio for individual stocks (20260316-20260320): Yunnan Baiyao 15.5%, Supor 14.9%, ZJ Bio-Tech-U 14.5%, Industrial and Commercial Bank of China 13.9%, Fulin Precision 13.6%, China World Trade Center 13.3%, Anbotong 13.0%, Zhongwang Fabric 13.0%, Shandong Expressway 12.2%, Youngor 12.2%[10] - Large order transaction amount ratio for broad-based indices (20260316-20260320): SSE Composite Index 72.3%, SSE 50 Index 71.3%, CSI 300 Index 73.4%, CSI 500 Index 71.3%, ChiNext Index 72.4%[12] - Net active purchase amount ratio for broad-based indices (20260316-20260320): SSE Composite Index -4.6%, SSE 50 Index -4.3%, CSI 300 Index -2.3%, CSI 500 Index -3.9%, ChiNext Index 0.7%[12] - Large order transaction amount ratio for CITIC first-level industries (20260316-20260320): Petroleum and Petrochemical 76.4%, Coal 77.5%, Nonferrous Metals 73.7%, Electric Power and Public Utilities 77.5%, Steel 78.3%, Basic Chemicals 74.1%, Construction 76.9%, Building Materials 75.1%, Light Manufacturing 74.4%, Machinery 72.6%, Electric Power Equipment and New Energy 74.8%, National Defense and Military Industry 69.5%, Automotive 72.5%, Commercial Retail 74.6%, Consumer Services 74.7%, Home Appliances 75.0%, Textiles and Apparel 75.8%, Medicine 71.1%, Food and Beverage 68.7%, Agriculture, Forestry, Animal Husbandry, and Fishery 75.1%, Banking 80.0%, Non-Banking Finance 74.2%, Real Estate 77.3%, Transportation 78.3%, Electronics 69.5%, Communications 73.4%, Computers 70.5%, Media 73.3%, Comprehensive 76.1%, Comprehensive Finance 73.3%[13] - Net active purchase amount ratio for CITIC first-level industries (20260316-20260320): Petroleum and Petrochemical -3.4%, Coal 0.5%, Nonferrous Metals -4.8%, Electric Power and Public Utilities -1.0%, Steel -10.2%, Basic Chemicals -5.4%, Construction -10.0%, Building Materials -5.5%, Light Manufacturing -5.4%, Machinery -4.1%, Electric Power Equipment and New Energy -0.1%, National Defense and Military Industry -9.0%, Automotive -3.6%, Commercial Retail -12.4%, Consumer Services -4.4%, Home Appliances -5.9%, Textiles and Apparel -8.2%, Medicine -6.1%, Food and Beverage -5.1%, Agriculture, Forestry, Animal Husbandry, and Fishery -6.9%, Banking -2.2%, Non-Banking Finance -11.9%, Real Estate -8.4%, Transportation -2.3%, Electronics -2.3%, Communications 1.2%, Computers -10.9%, Media -11.4%, Comprehensive -14.2%, Comprehensive Finance -20.8%[13] - Large order transaction amount ratio for ETFs (20260316-20260320): Huatai-PineBridge CSI A500 ETF 93.6%, Huatai-PineBridge MSCI China A50 Interconnection ETF 93.5%, Guotai CSI A500 ETF 93.4%, Haifutong SSE Urban Investment Bond ETF 92.0%, Huaxia CSI A500 ETF 91.5%, Tianhong CSI Computer Theme ETF 91.2%, Guotai CSI All Index Building Materials ETF 90.4%, Southern CSI All Index Dividend Quality ETF 89.6%, Penghua CSI Oil and Natural Gas ETF 89.1%, Harvest CSI Rare Earth Industry ETF 89.1%[15] - Net active purchase amount ratio for ETFs (20260316-20260320): Tianhong CSI Industrial Nonferrous Metals Theme ETF 18.3%, Harvest CSI Green Power ETF 14.0%, Huaxia CSI Subdivided Nonferrous Metals Industry ETF 13.9%, Invesco Great Wall CSI Dividend Low Volatility 100 ETF 13.2%, Huaxia CSI Semiconductor Materials and Equipment Theme ETF 12.2%, Haifutong SSE Urban Investment Bond ETF 12.0%, Huatai-PineBridge CSI Energy ETF 11.1%, E Fund Shenzhen 100 ETF 11.0%, Southern ChiNext Artificial Intelligence ETF 10.1%, Huatai-PineBridge Dividend Low Volatility ETF 9.4%[16]

- The report focuses on tracking large buy orders and net active buy orders using transaction detail data[1][2] - Two key indicators are used: the proportion of large buy order transaction amounts and the proportion of net active buy order amounts[7] - The proportion of large buy order transaction amounts reflects the buying behavior of large funds[7] - The proportion of net active buy order amounts reflects investors' active buying behavior[7] - The report provides rankings for stocks, industries, and ETFs based on these indicators over the past 5 trading days (20260309-20260313)[4][6] Quantitative Models and Construction Methods 1. **Model Name**: Large Buy Order Transaction Amount Proportion - **Construction Idea**: To track the buying behavior of large funds[7] - **Construction Process**: - Restore transaction data to buy and sell order data using the buy and sell sequence numbers in the transaction detail data - Filter out large orders based on transaction volume - Calculate the proportion of large buy order transaction amounts to the total transaction amount of the day[7] - **Evaluation**: This indicator effectively captures the buying behavior of large funds[7] 2. **Model Name**: Net Active Buy Order Amount Proportion - **Construction Idea**: To track investors' active buying behavior[7] - **Construction Process**: - Identify each transaction as either an active buy or an active sell using the buy and sell markers in the transaction detail data - Subtract the transaction amounts of active sells from active buys to get the net active buy amount - Calculate the proportion of net active buy amounts to the total transaction amount of the day[7] - **Evaluation**: This indicator effectively captures investors' active buying behavior[7] Model Backtest Results 1. **Large Buy Order Transaction Amount Proportion** - **Top 5 Stocks**: - Jiugang Hongxing: 87.2%, 90.5%[9] - Wentou Holdings: 86.6%, 97.1%[9] - Jinbin Development: 86.3%, 86.4%[9] - Ningbo Construction: 85.6%, 98.8%[9] - Xining Special Steel: 85.3%, 97.9%[9] - **Top 5 Industries**: - Banking: 81.3%, 61.3%[13] - Real Estate: 79.8%, 51.0%[13] - Construction: 78.5%, 88.9%[13] - Comprehensive: 77.9%, 46.1%[13] - Steel: 77.7%, 35.4%[13] - **Top 5 ETFs**: - Guotai SSE 10-Year Treasury Bond ETF: 95.4%, 99.6%[15] - Huatai-PineBridge MSCI China A50 Interconnection ETF: 94.0%, 93.4%[15] - Huatai-PineBridge CSI A500 ETF: 93.2%, 90.9%[15] - Guotai CSI A500 ETF: 92.5%, 53.9%[15] - Huaxia CSI A500 ETF: 92.0%, 97.5%[15] 2. **Net Active Buy Order Amount Proportion** - **Top 5 Stocks**: - Minsheng Bank: 22.2%, 98.8%[10] - SDIC Power: 21.8%, 97.1%[10] - Everbright Bank: 19.5%, 99.6%[10] - Zhejiang Bank: 19.2%, 96.3%[10] - Shangtai Technology: 18.9%, 100.0%[10] - **Top 5 Industries**: - Banking: 10.5%, 64.2%[13] - Food & Beverage: 4.7%, 56.0%[13] - Real Estate: 2.5%, 50.2%[13] - Construction: 0.4%, 72.4%[13] - Basic Chemicals: -0.9%, 75.7%[13] - **Top 5 ETFs**: - Harvest CSI Green Power ETF: 35.4%, 98.4%[16] - E Fund CSI Dividend Low Volatility ETF: 21.6%, 97.9%[16] - Huatai-PineBridge CSI All Index Power Utilities ETF: 18.7%, 97.9%[16] - Southern S&P China A-Share Large Cap Dividend Low Volatility 50 ETF: 15.7%, 96.7%[16] - GF GEM ETF: 13.8%, 90.9%[16]

Group 1 - The MSCI China A50 Connect (RMB) Index ETF recorded a total trading volume of 333 million yuan today, an increase of 152 million yuan compared to the previous trading day, representing a growth rate of 83.87% [1] - Specifically, the Huaxia MSCI China A50 Connect ETF (159601) had a trading volume of 172 million yuan today, which is an increase of 117 million yuan from the previous day, with a growth rate of 212.45% [1] - The E Fund MSCI China A50 Connect ETF (563000) saw a trading volume of 68.76 million yuan, up by 21.91 million yuan from the previous day, reflecting a growth rate of 46.75% [1] Group 2 - As of market close, the related ETFs tracking the MSCI China A50 Connect (RMB) Index averaged an increase of 1.65%, with the E Fund MSCI China A50 Connect ETF (563000) and the Fuguo MSCI China A50 Connect Enhanced Strategy ETF (563280) leading the gains at 1.87% and 1.80% respectively [2] - The trading volume changes for January 5th show that the Huaxia MSCI China A50 Connect ETF (159601) increased by 1.17 billion yuan, while the E Fund MSCI China A50 Connect ETF (563000) increased by 21.91 million yuan [2] - The trading volume for the Huaxia MSCI China A50 Connect ETF (159601) was 172 million yuan, while the E Fund MSCI China A50 Connect ETF (563000) was 68.76 million yuan, and the Huitianfu MSCI China A50 Connect ETF (560050) was 77.12 million yuan, reflecting respective growth rates of 212.45%, 46.75%, and 20.17% [2]

Group 1 - The MSCI China A50 Connect (RMB) Index ETF recorded a total trading volume of 185 million yuan today, an increase of 57.5 million yuan compared to the previous trading day, representing a growth rate of 45.08% [1] - Specifically, the E Fund MSCI China A50 Connect ETF (563000) had a trading volume of 56.04 million yuan, up by 32.81 million yuan from the previous day, with a growth rate of 141.26% [1] - The Huaxia MSCI China A50 Connect ETF (159601) saw a trading volume of 55.94 million yuan, an increase of 19.59 million yuan, reflecting a growth rate of 53.91% [1] Group 2 - The average increase for ETFs tracking the MSCI China A50 Connect (RMB) Index was 1.19% at market close, with the top performers being the Fuguo MSCI China A50 Enhanced Strategy ETF (563280) and the Southern MSCI China A50 Connect ETF (159602), which rose by 1.40% and 1.19% respectively [2] - The trading volume changes for December 22 for various ETFs include the E Fund MSCI China A50 Connect ETF (563000) with a 1.14% increase, trading at 56.04 million yuan, and the Huaxia MSCI China A50 Connect ETF (159601) with a 1.05% increase, trading at 55.94 million yuan [2] - The Huatai-PineBridge MSCI China A50 Connect ETF (560050) recorded a trading volume of 67.20 million yuan, with a growth rate of 16.82% [2]

Core Viewpoint - The MSCI China A50 Connect (RMB) Index ETF experienced a significant increase in trading volume, with a total turnover of 209 million yuan, representing a 78.76% increase compared to the previous trading day [1]. Trading Volume Summary - The total trading volume for the MSCI China A50 Connect (RMB) Index ETF today was 209 million yuan, up by 91.97 million yuan from the previous day, marking a 78.76% increase [1]. - The Huatai-PineBridge MSCI China A50 Connect ETF (560050) had a trading volume of 97.47 million yuan, an increase of 56.52 million yuan, with a growth rate of 138.02% [1]. - The E Fund MSCI China A50 Connect ETF (563000) recorded a trading volume of 50.32 million yuan, up by 22.89 million yuan, reflecting an 83.42% increase [1]. - The Huaxia MSCI China A50 Connect ETF (159601) saw a trading volume of 50.34 million yuan, with an increase of 9.73 million yuan, resulting in a 23.96% growth [1]. - The Fuguo MSCI China A50 Connect Enhanced Strategy ETF (563280) and Huatai-PineBridge MSCI China A50 Connect ETF (560050) had the highest increases in trading volume, with growth rates of 148.91% and 138.02%, respectively [1]. Market Performance Summary - As of market close, ETFs tracking the MSCI China A50 Connect (RMB) Index experienced an average decline of 1.27% [2]. - The Huaxia MSCI China A50 Connect ETF (159601) and Fuguo MSCI China A50 Connect Enhanced Strategy ETF (563280) had the largest declines, falling by 1.34% and 1.32%, respectively [2]. - The trading performance of various ETFs is as follows: - Huatai-PineBridge MSCI China A50 Connect ETF (560050): -1.16%, trading volume of 97.47 million yuan, increase of 56.52 million yuan, growth rate of 138.02% [2]. - E Fund MSCI China A50 Connect ETF (563000): -1.23%, trading volume of 50.32 million yuan, increase of 22.89 million yuan, growth rate of 83.42% [2]. - Huaxia MSCI China A50 Connect ETF (159601): -1.34%, trading volume of 50.34 million yuan, increase of 9.73 million yuan, growth rate of 23.96% [2]. - Southern MSCI China A50 Connect ETF (159602): -1.29%, trading volume of 9.36 million yuan, increase of 2.09 million yuan, growth rate of 28.67% [2]. - Fuguo MSCI China A50 Connect Enhanced Strategy ETF (563280): -1.32%, trading volume of 1.25 million yuan, increase of 0.74 million yuan, growth rate of 148.91% [2].

Core Insights - The MSCI China A50 Connect (RMB) Index ETF saw a significant increase in trading volume, with a total turnover of 158 million yuan, up 49.09 million yuan from the previous trading day, representing a 44.93% increase [1][2] Trading Volume Summary - The Huatai-Pine MSCI China A50 Connect ETF (560050) had a trading volume of 74.33 million yuan, an increase of 26.33 million yuan from the previous day, reflecting a 54.85% rise [1][2] - The China Asset MSCI China A50 Connect ETF (159601) recorded a trading volume of 38.10 million yuan, up 17.99 million yuan from the previous day, marking an 89.47% increase [1][2] - The Fuguo MSCI China A50 Connect Enhanced Strategy ETF (563280) had a trading volume of 4.44 million yuan, increasing by 2.82 million yuan from the previous day, which is a 173.78% rise [1][2] Market Performance Summary - As of the market close, ETFs tracking the MSCI China A50 Connect (RMB) Index (in RMB) averaged a rise of 0.62%, with notable performers including the Huatai-Pine MSCI China A50 Connect ETF (560050) and the Southern MSCI China A50 Connect ETF (159602), which increased by 0.86% and 0.79% respectively [2] - The trading performance of various ETFs is as follows: - Huatai-Pine MSCI China A50 Connect ETF (560050): +0.86%, 74.33 million yuan, +26.33 million yuan, +54.85% [2] - China Asset MSCI China A50 Connect ETF (159601): +0.57%, 38.10 million yuan, +17.99 million yuan, +89.47% [2] - Fuguo MSCI China A50 Connect Enhanced Strategy ETF (563280): +0.29%, 4.44 million yuan, +2.82 million yuan, +173.78% [2] - Southern MSCI China A50 Connect ETF (159602): +0.79%, 11.07 million yuan, +2.27 million yuan, +25.85% [2] - E-Fonda MSCI China A50 Connect ETF (563000): +0.57%, 30.42 million yuan, -0.32 million yuan, -1.04% [2]

Core Insights - The MSCI China A50 Connect (RMB) Index ETF saw a total trading volume of 172 million yuan today, an increase of 49.22 million yuan from the previous trading day, representing a growth rate of 40.22% [1] Trading Volume Summary - The Huatai-PineBridge MSCI China A50 Connect ETF (560050) had a trading volume of 94.28 million yuan today, up by 33.49 million yuan from the previous day, with a growth rate of 55.10% [1] - The China Asset Management MSCI China A50 Connect ETF (159601) recorded a trading volume of 31.67 million yuan, an increase of 8.47 million yuan, reflecting a growth rate of 36.52% [1] - The Southern MSCI China A50 Connect ETF (159602) achieved a trading volume of 11.84 million yuan, up by 4.14 million yuan, with a growth rate of 53.79% [1] - The Fuguo MSCI China A50 Connect Enhanced Strategy ETF (563280) saw a significant increase in trading volume by 181.26%, with a total of 4.06 million yuan traded today [1] Market Performance Summary - As of market close, ETFs tracking the MSCI China A50 Connect (RMB) Index (in RMB) averaged an increase of 0.03%, with the Fuguo MSCI China A50 Connect Enhanced Strategy ETF (563280) and Southern MSCI China A50 Connect ETF (159602) rising by 0.22% and 0.20% respectively [2] - The China Asset Management MSCI China A50 Connect ETF (159601) and the E Fund MSCI China A50 Connect ETF (563000) experienced declines of 0.19% and 0.09% respectively [2]

Core Insights - The MSCI China A50 Connect (RMB) Index ETF saw a total trading volume of 184 million yuan today, an increase of 54.12 million yuan from the previous trading day, representing a growth rate of 41.82% [1] Trading Volume Summary - The Huatai-Pine MSCI China A50 Connect ETF (560050) had a trading volume of 101 million yuan today, up by 52.66 million yuan from the previous day, with a growth rate of 109.23% [1] - The China Asset MSCI China A50 Connect ETF (159601) recorded a trading volume of 34.36 million yuan, an increase of 5.42 million yuan, reflecting a growth rate of 18.72% [1] - The Southern MSCI China A50 Connect ETF (159602) had a trading volume of 11.15 million yuan, up by 1.17 million yuan, with a growth rate of 11.77% [1] Market Performance Summary - As of the market close, the related ETFs tracking the MSCI China A50 Connect (RMB) Index averaged an increase of 0.12%, with the top performers being the Fuguo MSCI China A50 Enhanced Strategy ETF (563280) and the E Fund MSCI China A50 Connect ETF (563000), which rose by 0.29% and 0.19% respectively [2] - The Southern MSCI China A50 Connect ETF (159602) experienced a decline of 0.10% [2]

Core Insights - The total trading volume of the MSCI China A50 Connect (RMB) Index ETF reached 158 million yuan today, marking a week-on-week increase of 32.23% [1][2] Trading Volume Summary - The trading volume for the Huaxia MSCI China A50 Connect ETF (159601) was 50.68 million yuan, an increase of 27.70 million yuan from the previous trading day, representing a 120.58% increase [1][2] - The E Fund MSCI China A50 Connect ETF (563000) recorded a trading volume of 29.36 million yuan, up by 5.83 million yuan, with a week-on-week increase of 24.80% [1][2] - The Huitianfu MSCI China A50 Connect ETF (560050) had a trading volume of 66.50 million yuan, increasing by 2.20 million yuan, reflecting a 3.42% rise [1][2] - The trading volumes for the Huaxia MSCI China A50 Connect ETF (159601) and the E Fund MSCI China A50 Connect Enhanced Strategy ETF (563280) saw significant increases of 120.58% and 46.37%, respectively [1][2] Market Performance Summary - As of market close, ETFs tracking the MSCI China A50 Connect (RMB) Index averaged a rise of 0.13%, with the top performers being the E Fund MSCI China A50 Connect Enhanced Strategy ETF (563280) and the Southern MSCI China A50 Connect ETF (159602), which increased by 0.44% and 0.10%, respectively [2]