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]

Quantitative Models and Construction Methods 1. Model Name: Single Technical Indicator Signal Model - **Model Construction Idea**: This model is based on price-volume data, utilizing various technical indicators to generate buy and sell signals. The goal is to adjust the position of an index to achieve excess returns[3][8] - **Model Construction Process**: - A total of 27 technical indicators were constructed and tested under specified backtesting conditions across three broad-based indices (CSI 300, CSI 500, CSI 1000) and 31 Shenwan first-level industry indices[8] - The indicators were designed based on the concept of price-volume "divergence" to capture potential trading opportunities[3][8] - **Model Evaluation**: The average annualized excess return of these indicators across 34 indices reached 3.75%, demonstrating their effectiveness in generating excess returns[3][8] 2. Model Name: Multi-Signal Combination Model - **Model Construction Idea**: This model combines multiple technical indicators through direct signal synthesis and rolling search methods to enhance performance and stability[3][8] - **Model Construction Process**: - Two strategies were developed: a 5-signal strategy and a 7-signal strategy - Signals were combined using correlation analysis to reduce redundancy and improve predictive power[3][8] - **Model Evaluation**: - The 5-signal strategy performed well on broad-based indices, achieving an annualized excess return of 11.27% on the CSI 1000 index[3][8] - The 7-signal strategy further refined the buy-sell distinction, improving performance in certain scenarios[3][8] 3. Model Name: Rolling Signal Combination Model - **Model Construction Idea**: This model uses rolling synthesis methods to combine signals, with two distinct approaches: post-merge buy-sell (Rolling Stable Strategy) and pre-merge buy-sell (Rolling Momentum Strategy)[3][8] - **Model Construction Process**: - **Rolling Stable Strategy**: Signals are merged first and then processed, resulting in more stable performance suitable for low-risk investors - **Rolling Momentum Strategy**: Signals are processed first and then merged, emphasizing momentum and reducing missed opportunities, suitable for high-risk investors[3][8] - **Model Evaluation**: - The Rolling Stable Strategy achieved an average annualized excess return of 3.99% with lower volatility - The Rolling Momentum Strategy demonstrated stronger momentum-following capabilities but with slightly higher volatility[3][8] --- Model Backtesting Results 1. Single Technical Indicator Signal Model - CSI 300: Annualized excess return of 3.01%[10] - CSI 500: Annualized excess return of 4.27%[10] - CSI 1000: Annualized excess return of 4.81%[10] 2. Multi-Signal Combination Model - **5-Signal Strategy**: - CSI 300: Annualized excess return of 3.24%[10] - CSI 500: Annualized excess return of 1.61%[10] - CSI 1000: Annualized excess return of -4.20%[10] - **7-Signal Strategy**: - CSI 300: Annualized excess return of 3.24%[10] - CSI 500: Annualized excess return of 4.25%[10] - CSI 1000: Annualized excess return of -1.76%[10] 3. Rolling Signal Combination Model - **Rolling Stable Strategy**: - CSI 300: Annualized excess return of 3.49%[14] - CSI 500: Annualized excess return of 4.25%[14] - CSI 1000: Annualized excess return of 5.11%[14] - **Rolling Momentum Strategy**: - CSI 300: Annualized excess return of 3.23%[14] - CSI 500: Annualized excess return of 1.90%[14] - CSI 1000: Annualized excess return of 0.00%[14]