- **Tracking indicators and their calculation** The report uses two indicators: the proportion of large buy order transaction amount and the proportion of net active buy transaction amount. The large buy order transaction amount proportion reflects the buying behavior of large funds. It is calculated by restoring transaction data into buy and sell orders based on transaction sequence numbers, filtering large orders by transaction volume, and computing the proportion of large buy order transaction amounts 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 transaction markers, subtracting active sell amounts from active buy amounts, and computing the proportion of net active buy amounts to the total daily transaction amount[7] - **Individual stock tracking** The report provides rankings of stocks based on the 5-day average proportion of large buy order transaction amounts and net active buy transaction amounts. For example, the top-ranked stock for large buy order transaction amount proportion is "海陆重工" with a value of 93.0% and a time-series percentile of 100.0%. Similarly, the top-ranked stock for net active buy transaction amount proportion is "力聚热能" with a value of 21.2% and a time-series percentile of 100.0%[9][10] - **Broad-based index tracking** The report calculates the 5-day average proportions of large buy order transaction amounts and net active buy transaction amounts for major broad-based indices. For instance, the "上证指数" has a large buy order transaction amount proportion of 73.6% (percentile: 66.0%) and a net active buy transaction amount proportion of -4.1% (percentile: 99.6%)[11][12] - **Sector tracking** The report calculates the 5-day average proportions of large buy order transaction amounts and net active buy transaction amounts for various sectors. For example, the "石油石化" sector has a large buy order transaction amount proportion of 78.3% (percentile: 100.0%) and a net active buy transaction amount proportion of 5.0% (percentile: 27.0%)[13] - **ETF tracking** The report ranks ETFs based on the 5-day average proportions of large buy order transaction amounts and net active buy transaction amounts. For example, the top-ranked ETF for large buy order transaction amount proportion is "国泰上证 10 年期国债 ETF" with a value of 93.7% and a time-series percentile of 100.0%. Similarly, the top-ranked ETF for net active buy transaction amount proportion is "国泰上证 10 年期国债 ETF" with a value of 24.7% and a time-series percentile of 84.4%[15][16]

Market Overview - On August 8, 2025, the Shanghai Composite Index fell 0.12% to close at 3635.13, the Shenzhen Component Index dropped 0.26% to 11128.67, and the ChiNext Index declined 0.38% to 2333.96. The total trading volume of A-shares in the two markets was 1736.5 billion yuan. The top-performing sectors were the comprehensive sector (1.56%), building materials (1.16%), and building decoration (1.14%), while the worst-performing were the computer (-2.38%), electronics (-1.15%), and media (-0.96%) sectors [2][7]. Stock ETF - The top-traded stock ETFs on this day were: Huaxia CSI A500 ETF, which fell 0.20% with a premium rate of -0.25%; Huatai-PineBridge CSI A500 ETF, down 0.18% with a premium rate of -0.19%; and Southern CSI A500 ETF, down 0.19% with a premium rate of -0.17% [3][8]. - The chart shows details of the top ten stock ETFs by trading volume, including their codes, names, prices, price changes, tracking indices, IOPV, premium rates, trading volumes, and the latest share references [9]. Bond ETF - The top-traded bond ETFs were: Haifutong CSI Short-term Financing Bond ETF, up 0.01% with a premium rate of 0.01%; Bosera CSI Convertible Bond and Exchangeable Bond ETF, down 0.30% with a premium rate of -0.20%; and Guotai Shanghai Stock Exchange 10-year Treasury Bond ETF, up 0.04% with a premium rate of -0.03% [4][10]. - The chart presents the top five bond ETFs by trading volume, including their codes, names, prices, price changes, premium rates, and trading volumes [11]. Gold ETF - Gold AU9999 rose 0.14% and Shanghai Gold increased 0.34%. The top-traded gold ETFs were: Huaan Gold ETF, up 0.32% with a premium rate of 0.21%; E Fund Gold ETF, up 0.30% with a premium rate of 0.17%; and Bosera Gold ETF, up 0.28% with a premium rate of 0.20% [13]. - The chart displays the top five gold ETFs by trading volume, including their codes, names, prices, price changes, trading volumes, IOPV, and premium rates [14]. Commodity Futures ETF - Huaxia Feed Soybean Meal Futures ETF rose 0.46% with a premium rate of 0.77%; Jianxin Yisheng Zhengzhou Commodity Exchange Energy and Chemical Futures ETF fell 0.90% with a premium rate of -0.90%; and Dacheng Non-ferrous Metals Futures ETF declined 0.06% with a premium rate of -0.06% [14]. - The chart provides an overview of commodity futures ETFs, including their codes, names, prices, price changes, trading volumes, IOPV, premium rates, tracking indices, and the price changes of the tracking indices [15]. Cross-border ETF - The previous trading day saw the Dow Jones Industrial Average fall 0.51%, the Nasdaq rise 0.35%, and the S&P 500 drop 0.08%, while the German DAX rose 1.12%. On this day, the Hang Seng Index fell 0.89% and the Hang Seng China Enterprises Index dropped 0.96%. The top-traded cross-border ETFs were: E Fund CSI Hong Kong Securities Investment Theme ETF, down 1.07% with a premium rate of -0.08%; GF CSI Hong Kong Innovative Drug ETF, down 1.33% with a premium rate of -0.16%; and Huitianfu Guozheng Hong Kong Stock Connect Innovative Drug ETF, down 1.41% with a premium rate of -0.15% [16]. - The chart shows the top five cross-border ETFs by trading volume, including their codes, names, trading volumes, price changes, and premium rates [17]. Money Market ETF - The top-traded money market ETFs were: Yin Hua Day Profit ETF, Hua Bao Tian Yi ETF, and Money Market ETF Jian Xin Tian Yi [18]. - The chart lists the top three money market ETFs by trading volume, including their codes, names, and trading volumes [20].

Report Summary 1. Market Overview - A-share market: The Shanghai Composite Index fell 0.07% to 3359.90 points, the Shenzhen Component Index dropped 0.47% to 10005.03 points, and the ChiNext Index declined 0.83% to 2009.89 points. The trading volume of A-shares in the two markets was 1091.8 billion yuan. Leading gainers were transportation (0.88%), food and beverage (0.73%), and banking (0.69%), while leading losers were media (-1.91%), computer (-1.79%), and petroleum and petrochemical (-1.71%) [2][6]. 2. Stock ETF - Top trading volume: The top trading volume stock ETFs included嘉实中证A500ETF (down 0.21%, premium rate -0.21%),华夏中证A500ETF (down 0.21%, premium rate -0.07%), and华夏上证50ETF (up 0.59%, premium rate 0.53%) [3][7]. 3. Bond ETF - Top trading volume: The top trading volume bond ETFs were海富通中证短融ETF (up 0.01%, premium rate 0.01%),国泰上证10年期国债ETF (up 0.02%, premium rate 0.07%), and易方达上证基准做市公司债ETF (up 0.08%, premium rate 0.16%) [4][9]. 4. Gold ETF - Gold prices: Gold AU9999 had a 0.00% change, and Shanghai Gold fell 0.41%. The top trading volume gold ETFs were华安黄金ETF (down 0.39%, premium rate -0.24%),博时黄金ETF (down 0.39%, premium rate -0.25%), and易方达黄金ETF (down 0.37%, premium rate -0.22%) [12]. 5. Commodity Futures ETF - Performance:华夏饲料豆粕期货ETF fell 0.45% with a premium rate of 0.08%,建信易盛郑商所能源化工期货ETF dropped 0.43% with a premium rate of 0.49%, and大成有色金属期货ETF declined 0.36% with a premium rate of -0.65% [13][14]. 6. Cross - border ETF - Overseas markets: The US stock market was closed the previous day, the German DAX fell 1.12%, the Hang Seng Index rose 1.26%, and the Hang Seng China Enterprises Index rose 1.38%. The top trading volume cross - border ETFs were广发中证香港创新药ETF (up 0.27%, premium rate 0.41%),易方达中证香港证券投资主题ETF (up 0.31%, premium rate 0.24%), and华夏恒生科技ETF (up 0.14%, premium rate 0.51%) [15]. 7. Money ETF - Top trading volume: The top trading volume money ETFs were银华日利ETF,华宝添益ETF, and货币ETF建信添益 [17].