Group 1 - The report focuses on adjusting index positions based on technical indicators to achieve excess returns, utilizing a variety of indicators to generate buy and sell signals [3][8] - A total of 27 technical indicators were constructed and tested under specified backtesting conditions across three broad indices: CSI 300, CSI 500, and CSI 1000, as well as 31 industry indices [3][8] - The average excess annualized return from the technical indicators based on the concept of volume-price divergence reached 3.75% across 34 indices [3][8] Group 2 - In August, the 5-signal and 7-signal strategies consistently issued bullish signals across the CSI 300, CSI 500, and CSI 1000 indices [2][9] - The latest broad index positions indicate that for CSI 300, 18 indicators issued bullish signals while 5 issued reduction signals; for CSI 500, 18 bullish and 5 reduction signals; and for CSI 1000, 15 bullish and 8 reduction signals [2][14] - The optimal single indicator for CSI 300 maintained its signal, while both rolling strategies (rolling chase and rolling stability) issued maintenance signals [2][14] Group 3 - The 5-signal strategy performed well on broad indices, achieving an annualized return of 2.54% on the CSI 1000 index, with an excess annualized return of 11.27% [3][9] - The backtesting results showed that the rolling stability strategy, with a reduced adjustment frequency to T+10, could achieve an average excess annualized return of 3.99%, suitable for low-risk investors [3][8] - The rolling chase strategy demonstrated stronger chasing ability, effectively reducing the risk of missing out, although it exhibited slightly higher volatility, making it suitable for higher-risk investors [3][8] Group 4 - The report provides detailed performance statistics for various sectors, indicating that the banking sector had a positive return of 1.44%, while sectors like electronics and communication faced declines of -11.96% and -5.45% respectively [10][11] - The rolling strategies showed varying performance across sectors, with the rolling chase strategy yielding a return of -3.57% for CSI 300 and -11.68% for CSI 500 [12][13] - The report highlights the number of bullish and reduction indicators across various sectors, with the communication sector having the highest number of bullish indicators at 21, while the coal sector had the highest number of reduction indicators at 20 [15][17]

Core Insights - The report focuses on adjusting index positions based on technical indicators to achieve excess returns, utilizing a variety of indicators derived from volume and price data [3][8] - A total of 27 technical indicators were constructed and tested across three major indices: CSI 300, CSI 500, and CSI 1000, as well as 31 industry indices, with an average excess annualized return of 3.75% achieved through indicators based on the concept of volume-price divergence [3][8] - The report highlights the performance of single and multiple signal strategies, with the 5-signal strategy yielding an annualized return of 2.54% on the CSI 1000 index and an excess annualized return of 11.27% [3][8] - The rolling synthesis of signals showed that a T+10 adjustment frequency could achieve an average excess annualized return of 3.99%, suitable for low-risk investors, termed the rolling steady strategy, while the rolling chasing strategy, which has higher volatility, is more suitable for high-risk investors [3][8] Latest Index Positioning - As of early July, the CSI 300 has 20 indicators signaling bullish, 3 signaling reduction; the optimal single indicator maintains its signal, and both rolling chasing and rolling steady strategies indicate bullish [19][22] - The CSI 500 has 18 bullish signals and 5 reduction signals, with the optimal single indicator also signaling bullish, and both strategies maintaining their signals [19][22] - The CSI 1000 shows 17 bullish signals and 7 reduction signals, with the optimal single indicator signaling bullish, and both strategies also indicating bullish [19][22] Model Performance Statistics - The rolling chasing strategy recorded excess returns of -0.92% for CSI 300, -4.45% for CSI 500, and 0.00% for CSI 1000 in June [9][12] - The report provides a detailed summary of excess returns across various indices, indicating that the rolling steady strategy performed better in certain sectors, while the rolling chasing strategy showed stronger performance in others [10][12][13] Signal Analysis - The report includes a comprehensive analysis of the number of bullish and reduction signals across various sectors, indicating a mixed outlook with some sectors showing more bullish indicators than others [23][24] - The analysis of positions and signals for both non-rolling and rolling strategies reveals varying levels of exposure and signal strength across different indices and sectors [24][25]

Market Positioning Signals - CSI 300: 3 indicators signal bullish, 20 indicators signal reduction; optimal single indicator signals reduction; both rolling momentum and rolling conservative strategies signal reduction[2] - CSI 500: 4 indicators signal bullish, 19 indicators signal reduction; optimal single indicator signals reduction; both rolling momentum and rolling conservative strategies signal reduction[2] - CSI 1000: 5 indicators signal bullish, 18 indicators signal reduction; optimal single indicator signals reduction; both rolling momentum and rolling conservative strategies signal reduction[2] Performance Metrics - The average excess annualized return from a single technical indicator based on volume-price divergence across 34 indices is 3.75%[3] - The 5-signal strategy achieved an annualized return of 2.54% on the CSI 1000, with an excess annualized return of 11.27%[3] - The rolling conservative strategy, with a rebalancing frequency of T+10, yields an average excess annualized return of 3.99%[3] Strategy Outcomes - In May, the rolling momentum strategy recorded excess returns of -0.13% for CSI 300, -0.04% for CSI 500, and 0.00% for CSI 1000[9] - The rolling conservative strategy showed a return of 0.17% for CSI 300, -0.04% for CSI 500, and -0.36% for CSI 1000[12] Risk Considerations - All statistical results are based on historical data, and future market conditions may change significantly[26] - Single-factor returns may exhibit substantial volatility, necessitating the integration of risk management methods[26] - Model calculations may contain relative errors and do not constitute actual investment advice[26]

Group 1 - The report focuses on adjusting index positions based on technical indicators to achieve excess returns, utilizing a variety of indicators derived from volume and price data [3][8]. - A total of 27 technical indicators were constructed and tested under specified backtesting conditions across three broad indices: CSI 300, CSI 500, and CSI 1000, as well as 31 Shenwan first-level industry indices [3][8]. - The average excess annualized return from the technical indicators designed based on the concept of volume-price divergence reached 3.75% across 34 indices [3][8]. Group 2 - The report outlines the latest performance statistics, indicating that the rolling momentum strategy achieved excess returns of -0.13% for CSI 300, -0.04% for CSI 500, and 0.00% for CSI 1000 in May [9][12]. - The rolling momentum strategy showed a strong performance in the CSI 1000 index, yielding an annualized return of 2.54% and an excess annualized return of 11.27% [3][10]. - The report distinguishes between two strategies: the rolling momentum strategy, which is suitable for investors with higher risk tolerance, and the rolling conservative strategy, which is more appropriate for those with lower risk tolerance [8][9]. Group 3 - As of early June, the model's position and signal judgments indicated that for CSI 300, 3 indicators signaled bullish, while 20 indicated a reduction in positions; similar trends were observed for CSI 500 and CSI 1000 [18][22]. - The report provides a detailed analysis of the number of bullish and bearish indicators across various sectors, highlighting the varying market conditions and potential investment opportunities [23][25]. - The report includes a comprehensive summary of the model's excess returns across different sectors, indicating performance variations and potential areas for investment focus [12][13].