- Model Name: Timing Radar Hexagon; Model Construction Idea: The model is based on a multi-dimensional timing framework, considering factors such as liquidity, economic conditions, valuation, capital flow, technical indicators, and crowding. It generates a comprehensive timing score between [-1,1][1][6] - Model Construction Process: The model selects 21 indicators from six dimensions (liquidity, economic conditions, valuation, capital flow, technical indicators, and crowding) and categorizes them into four major categories: "Valuation Cost-Effectiveness," "Macro Fundamentals," "Capital & Trend," and "Crowding & Reversal." The comprehensive timing score is then generated within the range of [-1,1][1][6] - Model Evaluation: The model provides a neutral view with a current comprehensive score of -0.06, indicating a balanced market outlook[1][6] Model Backtest Results - Timing Radar Hexagon, Comprehensive Score: -0.06[1][6] - Liquidity Score: 0.25[1][8] - Economic Conditions Score: 0.25[1][8] - Valuation Score: -0.29[1][8] - Capital Flow Score: 0.00[2][8] - Technical Indicators Score: -0.50[2][8] - Crowding Score: 0.00[2][8] Factor Construction and Process 1. Factor Name: Monetary Direction Factor; Factor Construction Idea: This factor aims to determine the direction of current monetary policy by calculating the average change in central bank policy rates and short-term market rates over the past 90 days. If the factor is greater than 0, it indicates a loose monetary policy; if less than 0, it indicates a tight monetary policy[12] - Factor Construction Process: $$ \text{Monetary Direction Factor} = \text{Average Change in Policy Rates and Market Rates over 90 Days} $$ - Factor Evaluation: This week, the monetary direction factor is greater than 0, indicating a bullish signal with a score of 1[12] 2. Factor Name: Monetary Strength Factor; Factor Construction Idea: Based on the "interest rate corridor" concept, this factor measures the deviation of short-term market rates from policy rates. If the factor is less than -1.5 standard deviations, it indicates a loose environment for the next 120 trading days; if greater than 1.5 standard deviations, it indicates a tight environment[15] - Factor Construction Process: $$ \text{Monetary Strength Factor} = \frac{\text{DR007}}{\text{7-Year Reverse Repo Rate}} - 1 $$ - Factor Evaluation: This week, the monetary strength factor indicates a bearish signal with a score of -1[16] 3. Factor Name: Credit Direction Factor; Factor Construction Idea: This factor measures the tightness of credit transmission from commercial banks to the real economy using long-term loan indicators. If the factor shows an upward trend compared to three months ago, it indicates a bullish signal; otherwise, it indicates a bearish signal[18] - Factor Construction Process: $$ \text{Credit Direction Factor} = \text{Year-over-Year Change in Long-Term Loans over the Past 12 Months} $$ - Factor Evaluation: This week, the credit direction factor shows an upward trend, indicating a bullish signal with a score of 1[18] 4. Factor Name: Credit Strength Factor; Factor Construction Idea: This factor captures whether credit indicators significantly exceed or fall short of expectations. If the factor is greater than 1.5 standard deviations, it indicates a significantly above-expectation environment for the next 60 trading days; if less than -1.5 standard deviations, it indicates a significantly below-expectation environment[21] - Factor Construction Process: $$ \text{Credit Strength Factor} = \frac{\text{New RMB Loans - Median Expectation}}{\text{Standard Deviation of Expectation}} $$ - Factor Evaluation: This week, the credit strength factor shows no significant signal with a score of 0[21] 5. Factor Name: Growth Direction Factor; Factor Construction Idea: This factor is based on PMI data and measures the year-over-year change in the 12-month average PMI. If the factor shows an upward trend compared to three months ago, it indicates a bullish signal; otherwise, it indicates a bearish signal[22] - Factor Construction Process: $$ \text{Growth Direction Factor} = \text{Year-over-Year Change in 12-Month Average PMI} $$ - Factor Evaluation: This week, the growth direction factor shows an upward trend, indicating a bullish signal with a score of 1[22] 6. Factor Name: Growth Strength Factor; Factor Construction Idea: This factor captures whether economic growth indicators significantly exceed or fall short of expectations. If the factor is greater than 1.5 standard deviations, it indicates a significantly above-expectation environment for the next 60 trading days; if less than -1.5 standard deviations, it indicates a significantly below-expectation environment[26] - Factor Construction Process: $$ \text{Growth Strength Factor} = \frac{\text{PMI - Median Expectation}}{\text{Standard Deviation of Expectation}} $$ - Factor Evaluation: This week, the growth strength factor indicates a bearish signal with a score of -1[26] 7. Factor Name: Inflation Direction Factor; Factor Construction Idea: This factor measures the current inflation level and its impact on monetary policy. If the factor shows a downward trend compared to three months ago, it indicates a bullish signal; otherwise, it indicates a bearish signal[27] - Factor Construction Process: $$ \text{Inflation Direction Factor} = 0.5 \times \text{Smoothed CPI Year-over-Year} + 0.5 \times \text{Original PPI Year-over-Year} $$ - Factor Evaluation: This week, the inflation direction factor shows a downward trend, indicating a bullish signal with a score of 1[27] 8. Factor Name: Inflation Strength Factor; Factor Construction Idea: This factor captures whether inflation indicators significantly exceed or fall short of expectations. If the factor is less than -1.5, it indicates a significantly below-expectation environment for the next 60 trading days; if greater than 1.5 standard deviations, it indicates a significantly above-expectation environment[30] - Factor Construction Process: $$ \text{Inflation Strength Factor} = \frac{\text{CPI and PPI Expectation Difference}}{\text{Standard Deviation of Expectation}} $$ - Factor Evaluation: This week, the inflation strength factor shows no significant signal with a score of 0[30] 9. Factor Name: Shiller ERP; Factor Construction Idea: This factor calculates the Shiller PE based on the average inflation-adjusted earnings over the past six years and then calculates the Shiller ERP. The score is the z-score of the past six years[31] - Factor Construction Process: $$ \text{Shiller ERP} = \frac{1}{\text{Shiller PE}} - \text{10-Year Treasury Yield} $$ - Factor Evaluation: This week, the Shiller ERP shows an upward trend, with the score rising to 0.18[31] 10. Factor Name: PB; Factor Construction Idea: This factor calculates the z-score of the past six years for the PB ratio, standardized to ±1 after capping at 1.5 standard deviations[35] - Factor Construction Process: $$ \text{PB Score} = \text{z-score of PB over the past 6 years} $$ - Factor Evaluation: This week, the PB score rises to -0.39[35] 11. Factor Name: AIAE; Factor Construction Idea: This factor measures the aggregate investor allocation to equities, reflecting overall market risk appetite. The score is the z-score of the past six years[37] - Factor Construction Process: $$ \text{AIAE} = \frac{\text{Total Market Cap of CSI All Share}}{\text{Total Market Cap of CSI All Share + Total Debt}} $$ - Factor Evaluation: This week, the AIAE score decreases to -0.66[37] 12. Factor Name: Margin Trading Increment; Factor Construction Idea: This factor measures the market sentiment and leverage by calculating the average increment of margin trading over the past 120 days compared to the past 240 days. If the short-term increment is greater than the long-term increment, it indicates a bullish signal; otherwise, it indicates a bearish signal[40] - Factor Construction Process: $$ \text{Margin Trading Increment} = \text{Average Increment of Margin Trading over 120 Days - Average Increment over 240 Days} $$ - Factor Evaluation: This week, the margin trading increment indicates a bearish signal with a score of -1[40] 13. Factor Name: Trading Volume Trend; Factor Construction Idea: This factor measures the market trading activity by calculating the moving average distance of logarithmic trading volume. If the maximum distance of short-term moving averages is greater than the long-term moving averages, it indicates a bullish signal; otherwise, it indicates a bearish signal[43] - Factor Construction Process: $$ \text{Trading Volume Trend} = \frac{\text{ma120}}{\text{ma240}} - 1 $$ - Factor Evaluation: This week, the trading volume trend indicates a bearish signal

Quantitative Models and Construction Timing Radar Hexagon Model - **Model Name**: Timing Radar Hexagon Model - **Model Construction Idea**: The model evaluates equity market performance through a multi-dimensional framework, incorporating liquidity, economic fundamentals, valuation, capital flows, technical signals, and crowding indicators. These dimensions are aggregated into four categories: "Valuation Cost-Effectiveness," "Macro Fundamentals," "Capital & Trend," and "Crowding & Reversal," generating a composite timing score within the range of [-1, 1][1][6][9] - **Model Construction Process**: 1. Select 21 indicators across six dimensions (liquidity, economic fundamentals, valuation, capital flows, technical signals, and crowding)[1][6] 2. Aggregate these indicators into four categories: "Valuation Cost-Effectiveness," "Macro Fundamentals," "Capital & Trend," and "Crowding & Reversal"[6] 3. Normalize the composite score to fall within the range of [-1, 1][6] - **Model Evaluation**: The model provides a comprehensive and systematic approach to market timing by integrating multiple dimensions of market dynamics[6] --- Quantitative Factors and Construction Liquidity Factors 1. **Factor Name**: Monetary Direction Factor - **Construction Idea**: Measures the direction of monetary policy based on changes in central bank policy rates and short-term market rates over the past 90 days[12] - **Construction Process**: - Calculate the average change in central bank policy rates and short-term market rates over the past 90 days - If the factor > 0, monetary policy is deemed accommodative; if < 0, it is deemed tight[12] - **Current View**: The factor is positive this week, signaling accommodative monetary policy, with a score of 1[12] 2. **Factor Name**: Monetary Strength Factor - **Construction Idea**: Captures the deviation of short-term market rates from policy rates using the "interest rate corridor" concept[15] - **Construction Process**: - Compute the deviation = DR007/7-year reverse repo rate - 1 - Smooth and z-score the deviation - If the factor < -1.5 standard deviations, it signals a loose environment (score = 1); if > 1.5 standard deviations, it signals a tight environment (score = -1)[15] - **Current View**: The factor signals a tight environment this week, with a score of -1[15] 3. **Factor Name**: Credit Direction Factor - **Construction Idea**: Reflects the transmission of credit to the real economy using medium- and long-term loan data[18] - **Construction Process**: - Calculate the year-over-year growth of the past 12 months' medium- and long-term loan increments - If the factor rises compared to three months ago, it signals a positive trend (score = 1); otherwise, it signals a negative trend (score = -1)[18] - **Current View**: The factor is in an upward trend this week, signaling a positive outlook, with a score of 1[19] 4. **Factor Name**: Credit Strength Factor - **Construction Idea**: Measures whether credit data significantly exceeds or falls short of expectations[21] - **Construction Process**: - Compute the credit strength factor = (new RMB loans - median forecast) / forecast standard deviation - If the factor > 1.5 standard deviations, it signals a significantly positive credit environment (score = 1); if < -1.5 standard deviations, it signals a negative environment (score = -1)[21] - **Current View**: The factor signals a negative environment this week, with a score of -1[21] --- Backtesting Results of Factors Liquidity Factors 1. **Monetary Direction Factor**: Current score = 1[12] 2. **Monetary Strength Factor**: Current score = -1[15] 3. **Credit Direction Factor**: Current score = 1[19] 4. **Credit Strength Factor**: Current score = -1[21]

Quantitative Models and Construction Methods - **Model Name**: Timing Radar Hexagon **Model Construction Idea**: This model evaluates equity market performance based on multiple dimensions, including liquidity, economic fundamentals, valuation, capital flows, technical signals, and crowding. It aggregates 21 indicators into four categories: "Valuation Cost-Effectiveness," "Macro Fundamentals," "Capital & Trend," and "Crowding & Reversal," generating a comprehensive timing score within the range of [-1, 1][2][7][9] **Model Construction Process**: The model selects 21 indicators across six dimensions, normalizes their scores, and aggregates them into four broader categories. The final timing score is calculated as a weighted average of these categories[2][7][9] **Model Evaluation**: The model provides a comprehensive and multi-dimensional perspective on market timing, offering insights into market sentiment and potential turning points[2][7][9] Quantitative Factors and Construction Methods - **Factor Name**: Monetary Direction Factor **Factor Construction Idea**: This factor assesses the direction of monetary policy by analyzing changes in central bank policy rates and short-term market rates over the past 90 days[13] **Factor Construction Process**: - Calculate the average change in central bank policy rates and short-term market rates over the past 90 days - If the factor value > 0, monetary policy is deemed accommodative; if < 0, it is deemed tight[13] **Factor Evaluation**: Provides a clear signal of monetary policy direction, aiding in market timing[13] - **Factor Name**: Monetary Strength Factor **Factor Construction Idea**: This factor measures the deviation of short-term market rates from policy rates using the "interest rate corridor" concept[16] **Factor Construction Process**: - Compute the deviation as: $ \text{Deviation} = \frac{\text{DR007}}{\text{7-Year Reverse Repo Rate}} - 1 $ - Smooth and standardize the deviation using z-scores - Assign scores based on thresholds: <-1.5 SD (accommodative, score = 1), >1.5 SD (tight, score = -1)[16] **Factor Evaluation**: Effectively captures short-term liquidity conditions relative to policy rates[16] - **Factor Name**: Credit Direction Factor **Factor Construction Idea**: This factor evaluates the trend in credit transmission to the real economy using medium- and long-term loan data[19] **Factor Construction Process**: - Calculate the year-over-year growth of medium- and long-term loans over the past 12 months - Compare the current trend to three months prior - Assign scores: upward trend (score = 1), downward trend (score = -1)[19] **Factor Evaluation**: Reflects the credit environment's impact on economic activity[19] - **Factor Name**: Credit Strength Factor **Factor Construction Idea**: This factor measures whether credit data significantly exceeds or falls short of expectations[22] **Factor Construction Process**: - Compute: $ \text{Credit Strength Factor} = \frac{\text{New RMB Loans (Current Month) - Median Expectation}}{\text{Standard Deviation of Expectations}} $ - Assign scores based on thresholds: >1.5 SD (credit exceeds expectations, score = 1), <-1.5 SD (credit falls short, score = -1)[22] **Factor Evaluation**: Captures unexpected changes in credit conditions, providing insights into market sentiment[22] - **Factor Name**: Growth Direction Factor **Factor Construction Idea**: This factor uses PMI data to assess the direction of economic growth[23] **Factor Construction Process**: - Calculate the 12-month moving average of PMI data and its year-over-year change - Compare the current trend to three months prior - Assign scores: upward trend (score = 1), downward trend (score = -1)[23] **Factor Evaluation**: Provides a timely signal of economic growth trends[23] - **Factor Name**: Growth Strength Factor **Factor Construction Idea**: This factor evaluates whether economic growth data significantly exceeds or falls short of expectations[27] **Factor Construction Process**: - Compute: $ \text{Growth Strength Factor} = \frac{\text{PMI - Median Expectation}}{\text{Standard Deviation of Expectations}} $ - Assign scores based on thresholds: >1.5 SD (growth exceeds expectations, score = 1), <-1.5 SD (growth falls short, score = -1)[27] **Factor Evaluation**: Highlights unexpected changes in economic growth, aiding in market timing[27] - **Factor Name**: Inflation Direction Factor **Factor Construction Idea**: This factor assesses the direction of inflation using CPI and PPI data[28] **Factor Construction Process**: - Compute: $ \text{Inflation Direction Factor} = 0.5 \times \text{Smoothed CPI YoY} + 0.5 \times \text{Raw PPI YoY} $ - Compare the current trend to three months prior - Assign scores: downward trend (score = 1), upward trend (score = -1)[28] **Factor Evaluation**: Reflects the inflationary environment's impact on monetary policy and market sentiment[28] - **Factor Name**: Inflation Strength Factor **Factor Construction Idea**: This factor evaluates whether inflation data significantly exceeds or falls short of expectations[32] **Factor Construction Process**: - Compute the average of CPI and PPI expectation deviations: $ \text{Inflation Strength Factor} = \frac{\text{CPI Deviation + PPI Deviation}}{2} $ - Assign scores based on thresholds: <-1.5 SD (inflation falls short, score = 1), >1.5 SD (inflation exceeds, score = -1)[32] **Factor Evaluation**: Captures unexpected changes in inflation, aiding in market timing[32] - **Factor Name**: Shiller ERP **Factor Construction Idea**: This factor adjusts earnings for inflation and economic cycles to evaluate equity valuation[33] **Factor Construction Process**: - Compute: $ \text{Shiller ERP} = \frac{1}{\text{Shiller PE}} - \text{10-Year Treasury Yield} $ - Standardize using a 3-year z-score[33] **Factor Evaluation**: Provides a long-term perspective on equity valuation relative to bonds[33] - **Factor Name**: PB **Factor Construction Idea**: This factor evaluates equity valuation using the price-to-book ratio[37] **Factor Construction Process**: - Compute: $ \text{PB Score} = \text{PB} \times (-1) $ - Standardize using a 3-year z-score, truncating at ±1.5 SD[37] **Factor Evaluation**: Offers insights into market valuation extremes[37] - **Factor Name**: AIAE **Factor Construction Idea**: This factor measures aggregate investor allocation to equities, reflecting market risk appetite[39] **Factor Construction Process**: - Compute: $ \text{AIAE} = \frac{\text{Total Market Cap of CSI All Share}}{\text{Total Market Cap + Total Debt}} $ - Standardize using a 3-year z-score[39] **Factor Evaluation**: Captures shifts in market-wide risk preferences[39] Backtesting Results of Factors - **Monetary Direction Factor**: Current score = 1[13] - **Monetary Strength Factor**: Current score = -1[17] - **Credit Direction Factor**: Current score = 1[19] - **Credit Strength Factor**: Current score = -1[22] - **Growth Direction Factor**: Current score = -1[23] - **Growth Strength Factor**: Current score = -1[27] - **Inflation Direction Factor**: Current score = 1[28] - **Inflation Strength Factor**: Current score = 0[32] - **Shiller ERP**: Current score = -0.12[33] - **PB**: Current score = -0.86[37] - **AIAE**: Current score = -0.68[39]

Quantitative Models and Construction 1. Model Name: Timing Radar Six-Facet Framework - **Model Construction Idea**: The model evaluates equity market performance through a multi-dimensional perspective, incorporating 21 indicators categorized into four major dimensions: "Valuation Cost-Effectiveness," "Macro Fundamentals," "Funds & Trends," and "Crowdedness & Reversal" These dimensions are aggregated into a comprehensive timing score within the range of [-1, 1][1][6][8] - **Model Construction Process**: - The 21 indicators are grouped into six facets: liquidity, economic conditions, valuation, funds, technicals, and crowdedness - Each indicator is normalized and scored based on its historical distribution, with the final score for each dimension being the average of its respective indicators - The comprehensive timing score is calculated as the weighted average of the four major dimensions[1][6][8] - **Model Evaluation**: The model provides a systematic and multi-dimensional approach to market timing, offering insights into market conditions from various perspectives[1][6] --- Quantitative Factors and Construction 1. Factor Name: Monetary Direction Factor - **Factor Construction Idea**: This factor assesses the direction of monetary policy by analyzing changes in central bank policy rates and short-term market rates over the past 90 days[12] - **Factor Construction Process**: - Calculate the average change in central bank policy rates and short-term market rates over the past 90 days - If the factor value > 0, monetary policy is deemed accommodative; if < 0, it is deemed restrictive[12] - **Factor Evaluation**: The factor effectively captures the directional stance of monetary policy, providing a clear signal for market conditions[12] 2. Factor Name: Monetary Strength Factor - **Factor Construction Idea**: This factor measures the deviation of short-term market rates from policy rates using the "interest rate corridor" concept[15] - **Factor Construction Process**: - Compute the deviation as: $ \text{Deviation} = \frac{\text{DR007}}{\text{7-Year Reverse Repo Rate}} - 1 $ - Smooth the deviation and calculate its z-score - If the z-score < -1.5, the environment is deemed accommodative (score = 1); if > 1.5, it is restrictive (score = -1)[15] - **Factor Evaluation**: The factor provides a quantitative measure of liquidity conditions, aiding in the assessment of monetary policy impact[15] 3. Factor Name: Credit Direction Factor - **Factor Construction Idea**: This factor evaluates the transmission of credit to the real economy using medium- and long-term loan data[17] - **Factor Construction Process**: - Calculate the year-over-year growth of medium- and long-term loans over the past 12 months - Compare the current value to its level three months ago - If the factor value is rising, it signals a positive credit environment (score = 1); otherwise, it signals a negative environment (score = -1)[17] - **Factor Evaluation**: The factor captures the dynamics of credit transmission, providing insights into economic conditions[17] 4. Factor Name: Credit Strength Factor - **Factor Construction Idea**: This factor measures whether credit data significantly exceeds or falls short of expectations[21] - **Factor Construction Process**: - Compute the z-score of the difference between actual and expected new RMB loans - If the z-score > 1.5, the environment is deemed credit-positive (score = 1); if < -1.5, it is credit-negative (score = -1)[21] - **Factor Evaluation**: The factor quantifies the surprise element in credit data, offering a predictive signal for market conditions[21] 5. Factor Name: Growth Direction Factor - **Factor Construction Idea**: This factor uses PMI data to assess the direction of economic growth[24] - **Factor Construction Process**: - Calculate the 12-month moving average of PMI data and its year-over-year change - Compare the current value to its level three months ago - If the factor value is rising, it signals positive growth (score = 1); otherwise, it signals negative growth (score = -1)[24] - **Factor Evaluation**: The factor provides a timely measure of economic growth trends, aiding in macroeconomic analysis[24] 6. Factor Name: Growth Strength Factor - **Factor Construction Idea**: This factor measures whether economic growth data significantly exceeds or falls short of expectations[26] - **Factor Construction Process**: - Compute the z-score of the difference between actual and expected PMI values - If the z-score > 1.5, the environment is deemed growth-positive (score = 1); if < -1.5, it is growth-negative (score = -1)[26] - **Factor Evaluation**: The factor captures the surprise element in growth data, providing a predictive signal for economic conditions[26] 7. Factor Name: Inflation Direction Factor - **Factor Construction Idea**: This factor assesses the direction of inflation using CPI and PPI data[30] - **Factor Construction Process**: - Compute the weighted average of smoothed CPI and raw PPI year-over-year changes - Compare the current value to its level three months ago - If the factor value is declining, it signals a disinflationary environment (score = 1); otherwise, it signals an inflationary environment (score = -1)[30] - **Factor Evaluation**: The factor provides insights into inflation trends, aiding in monetary policy analysis[30] 8. Factor Name: Inflation Strength Factor - **Factor Construction Idea**: This factor measures whether inflation data significantly exceeds or falls short of expectations[31] - **Factor Construction Process**: - Compute the z-score of the difference between actual and expected CPI and PPI values - If the z-score < -1.5, the environment is deemed disinflationary (score = 1); if > 1.5, it is inflationary (score = -1)[31] - **Factor Evaluation**: The factor quantifies the surprise element in inflation data, offering a predictive signal for monetary policy[31] --- Backtesting Results of Factors 1. Monetary Direction Factor - Current score: 1[12] 2. Monetary Strength Factor - Current score: -1[15] 3. Credit Direction Factor - Current score: 1[17] 4. Credit Strength Factor - Current score: -1[21] 5. Growth Direction Factor - Current score: -1[24] 6. Growth Strength Factor - Current score: 1[26] 7. Inflation Direction Factor - Current score: 1[30] 8. Inflation Strength Factor - Current score: 0[32]

Quantitative Models and Construction Methods Model Name: Timing Radar Six-Factor Model - **Model Construction Idea**: The model aims to capture the performance of the equity market through multiple dimensions, including liquidity, economic conditions, valuation, capital flows, technical indicators, and crowding. It summarizes these into four categories: "Valuation Cost-Effectiveness," "Macroeconomic Fundamentals," "Capital & Trend," and "Crowding & Reversal," generating a comprehensive timing score between [-1,1][1][6]. - **Model Construction Process**: - **Liquidity**: Includes indicators like monetary strength and credit strength. For example, the monetary direction factor is calculated based on the average change in central bank policy rates and short-term market rates over the past 90 days[12][15][18][21]. - **Economic Conditions**: Includes indicators like inflation direction and growth direction. For instance, the growth direction factor is based on PMI data, calculated as the 12-month moving average and year-over-year change[22][26][27][31]. - **Valuation**: Includes indicators like Shiller ERP, PB, and AIAE. For example, Shiller ERP is calculated as 1/Shiller PE minus the 10-year government bond yield, with a z-score over the past three years[32][36][39]. - **Capital Flows**: Includes indicators like margin trading increment and trading volume trend. For example, the margin trading increment is calculated as the difference between the 120-day and 240-day moving averages of financing balance minus short selling balance[41][44][47][49]. - **Technical Indicators**: Includes indicators like price trend and new highs and lows. For example, the price trend is measured using the distance between the 120-day and 240-day moving averages[51][54]. - **Crowding**: Includes indicators like implied premium/discount from derivatives and convertible bond pricing deviation. For example, the implied premium/discount is derived from the put-call parity relationship in options[57][62][65]. - **Model Evaluation**: The model provides a comprehensive view of market conditions by integrating multiple dimensions, making it a robust tool for market timing[1][6]. Model Backtesting Results - **Current Comprehensive Score**: -0.10, indicating a neutral view overall[1][6]. - **Liquidity Score**: 0.00, indicating a neutral signal[8]. - **Economic Conditions Score**: 0.00, indicating a neutral signal[8]. - **Valuation Score**: -0.11, indicating a slightly bearish signal[8]. - **Capital Flows Score**: 0.00, indicating a neutral signal[8]. - **Technical Indicators Score**: -0.50, indicating a bearish signal[8]. - **Crowding Score**: -0.13, indicating a slightly bearish signal[8]. Quantitative Factors and Construction Methods Factor Name: Monetary Direction Factor - **Factor Construction Idea**: To determine the direction of current monetary policy by comparing central bank policy rates and short-term market rates over the past 90 days[12]. - **Factor Construction Process**: - Calculate the average change in central bank policy rates and short-term market rates over the past 90 days. - If the factor is greater than 0, it indicates a loose monetary policy; if less than 0, it indicates a tight monetary policy[12]. - **Factor Evaluation**: Provides a clear indication of the monetary policy direction, which is crucial for market timing[12]. Factor Name: Credit Direction Factor - **Factor Construction Idea**: To measure the tightness of credit transmission from commercial banks to the real economy using long-term loan indicators[18]. - **Factor Construction Process**: - Calculate the monthly value of long-term loans. - Compute the year-over-year change over the past 12 months. - If the factor is rising compared to three months ago, it indicates a bullish signal; otherwise, it indicates a bearish signal[18]. - **Factor Evaluation**: Effectively captures the credit conditions in the economy, which is vital for assessing market liquidity[18]. Factor Backtesting Results - **Monetary Direction Factor**: Score of 1, indicating a bullish signal[12]. - **Credit Direction Factor**: Score of 1, indicating a bullish signal[18]. - **Monetary Strength Factor**: Score of -1, indicating a bearish signal[15]. - **Credit Strength Factor**: Score of -1, indicating a bearish signal[21]. - **Growth Direction Factor**: Score of -1, indicating a bearish signal[22]. - **Growth Strength Factor**: Score of -1, indicating a bearish signal[26]. - **Inflation Direction Factor**: Score of 1, indicating a bullish signal[27]. - **Inflation Strength Factor**: Score of 1, indicating a bullish signal[31]. - **Shiller ERP**: Score of 0.16, indicating a slightly bearish signal[32]. - **PB**: Score of -0.38, indicating a bearish signal[36]. - **AIAE**: Score of -0.11, indicating a slightly bearish signal[39]. - **Margin Trading Increment**: Score of -1, indicating a bearish signal[41]. - **Trading Volume Trend**: Score of -1, indicating a bearish signal[44]. - **China Sovereign CDS Spread**: Score of 1, indicating a bullish signal[47]. - **Overseas Risk Aversion Index**: Score of 1, indicating a bullish signal[49]. - **Price Trend**: Score of 0, indicating a neutral signal[51]. - **New Highs and Lows**: Score of -1, indicating a bearish signal[54]. - **Implied Premium/Discount**: Score of 1, indicating a bullish signal[57]. - **Implied Volatility (VIX)**: Score of 0, indicating a neutral signal[58]. - **Implied Skewness (SKEW)**: Score of -1, indicating a bearish signal[62]. - **Convertible Bond Pricing Deviation**: Score of -0.51, indicating a bearish signal[65].

Quantitative Models and Construction Methods 1. Model Name: Timing Radar Hexagon Model - **Model Construction Idea**: The equity market's performance is influenced by multiple dimensions of factors. The model selects 21 indicators from six dimensions: liquidity, economic fundamentals, valuation, capital flow, technical trends, and crowding. These indicators are then categorized into four major dimensions: "Valuation Cost-Effectiveness," "Macroeconomic Fundamentals," "Capital & Trend," and "Crowding & Reversal," to generate a comprehensive timing score ranging between [-1, 1][1][6][8] - **Model Construction Process**: - The model aggregates the scores of 21 indicators into four major categories - Each indicator is normalized and scored based on its historical performance and deviation from the mean - The final comprehensive timing score is calculated as the weighted average of the four major categories, with the score ranging from -1 (bearish) to 1 (bullish)[1][6][8] - **Model Evaluation**: The model provides a multi-dimensional perspective on market timing, offering a comprehensive view of market conditions[1][6] --- Quantitative Factors and Construction Methods 1. Factor Name: Monetary Direction Factor - **Factor Construction Idea**: This factor aims to determine the current direction of monetary policy by analyzing changes in central bank policy rates and short-term market interest rates over the past 90 days[10] - **Factor Construction Process**: - Calculate the average change in central bank policy rates and short-term market interest rates over the past 90 days - If the factor value > 0, it indicates an expansionary monetary policy; if < 0, it indicates a tightening monetary policy[10] - **Factor Evaluation**: The factor effectively captures the direction of monetary policy and its implications for market sentiment[10] 2. Factor Name: Monetary Strength Factor - **Factor Construction Idea**: Based on the "interest rate corridor" concept, this factor measures the deviation of short-term market interest rates from policy rates to assess the monetary environment[14] - **Factor Construction Process**: - Calculate the deviation: $ \text{Deviation} = \frac{\text{DR007}}{\text{7-year reverse repo rate}} - 1 $ - Smooth the deviation and apply z-score normalization to form the monetary strength factor - If the factor value is below -1.5 standard deviations, it indicates a loose monetary environment; if above 1.5 standard deviations, it indicates a tight monetary environment[14] - **Factor Evaluation**: The factor provides a quantitative measure of the monetary environment's tightness or looseness[14] 3. Factor Name: Credit Direction Factor - **Factor Construction Idea**: This factor reflects the tightness of credit transmission from commercial banks to the real economy, using long-term loan data[17] - **Factor Construction Process**: - Calculate the monthly value of long-term loans - Compute the 12-month incremental change and year-over-year growth - If the factor value rises compared to three months ago, it is bullish (score = 1); otherwise, it is bearish (score = -1)[17] - **Factor Evaluation**: The factor captures the credit environment's directional changes effectively[17] 4. Factor Name: Credit Strength Factor - **Factor Construction Idea**: This factor measures whether credit indicators significantly exceed or fall short of expectations[22] - **Factor Construction Process**: - Calculate the credit strength factor: $ \text{Credit Strength Factor} = \frac{\text{New RMB Loans (current month) - Expected Median}}{\text{Expected Standard Deviation}} $ - If the factor value > 1.5 standard deviations, it indicates a significantly above-expectation credit environment (score = 1); if < -1.5 standard deviations, it indicates a below-expectation environment (score = -1)[22] - **Factor Evaluation**: The factor provides insights into the magnitude of credit surprises[22] 5. Factor Name: Growth Direction Factor - **Factor Construction Idea**: This factor is based on PMI data to assess the direction of economic growth[26] - **Factor Construction Process**: - Use PMI data (e.g., manufacturing and non-manufacturing PMI) - Calculate the 12-month moving average and year-over-year growth - If the factor value rises compared to three months ago, it is bullish (score = 1); otherwise, it is bearish (score = -1)[26] - **Factor Evaluation**: The factor effectively captures the directional trend of economic growth[26] 6. Factor Name: Growth Strength Factor - **Factor Construction Idea**: This factor measures whether economic growth indicators significantly exceed or fall short of expectations[28] - **Factor Construction Process**: - Calculate the growth strength factor: $ \text{Growth Strength Factor} = \frac{\text{PMI - Expected Median}}{\text{Expected Standard Deviation}} $ - If the factor value > 1.5 standard deviations, it indicates a significantly above-expectation growth environment (score = 1); if < -1.5 standard deviations, it indicates a below-expectation environment (score = -1)[28] - **Factor Evaluation**: The factor captures the magnitude of economic growth surprises[28] 7. Factor Name: Inflation Direction Factor - **Factor Construction Idea**: This factor assesses the direction of inflation and its implications for monetary policy[31] - **Factor Construction Process**: - Calculate the inflation direction factor: $ \text{Inflation Direction Factor} = 0.5 \times \text{CPI (smoothed)} + 0.5 \times \text{PPI (raw)} $ - If the factor value decreases compared to three months ago, it indicates a deflationary environment (score = 1); otherwise, it indicates an inflationary environment (score = -1)[31] - **Factor Evaluation**: The factor provides a clear signal of inflation trends and their impact on monetary policy[31] 8. Factor Name: Inflation Strength Factor - **Factor Construction Idea**: This factor measures whether inflation indicators significantly exceed or fall short of expectations[32] - **Factor Construction Process**: - Calculate the inflation strength factor: $ \text{Inflation Strength Factor} = \frac{\text{CPI or PPI - Expected Median}}{\text{Expected Standard Deviation}} $ - If the factor value < -1.5, it indicates a significantly below-expectation inflation environment (score = 1); if > 1.5 standard deviations, it indicates an above-expectation environment (score = -1)[32] - **Factor Evaluation**: The factor captures the magnitude of inflation surprises[32] --- Backtesting Results of Factors 1. Monetary Direction Factor - Current score: 1 (bullish signal)[11] 2. Monetary Strength Factor - Current score: -1 (bearish signal)[14] 3. Credit Direction Factor - Current score: -1 (bearish signal)[18] 4. Credit Strength Factor - Current score: -1 (bearish signal)[22] 5. Growth Direction Factor - Current score: 1 (bullish signal)[26] 6. Growth Strength Factor - Current score: 0 (neutral signal)[28] 7. Inflation Direction Factor - Current score: 1 (bullish signal)[31] 8. Inflation Strength Factor - Current score: 1 (bullish signal)[33]

Quantitative Models and Construction Methods - **Model Name**: Timing Radar Six-Dimensional Framework **Model Construction Idea**: The model evaluates equity market performance through a multi-dimensional perspective, incorporating liquidity, economic fundamentals, valuation, capital flows, technical signals, and crowding dimensions. These are aggregated into four categories: "Valuation Cost-Effectiveness," "Macro Fundamentals," "Capital & Trend," and "Crowding & Reversal," generating a composite timing score within the range of [-1, 1][1][6][8] **Model Construction Process**: The model selects 21 indicators across the six dimensions and aggregates them into the four categories mentioned above. Each category is scored based on its respective indicators, and the final composite score is calculated as the weighted average of these categories[1][6][8] **Model Evaluation**: The model provides a comprehensive and systematic approach to market timing by integrating multiple dimensions, offering a balanced view of market conditions[1][6][8] Quantitative Factors and Construction Methods - **Factor Name**: Monetary Direction Factor **Factor Construction Idea**: This factor assesses the direction of monetary policy by analyzing changes in central bank policy rates and short-term market rates over the past 90 days[10] **Factor Construction Process**: - Calculate the average change in central bank policy rates and short-term market rates over the past 90 days - If the factor value > 0, monetary policy is deemed accommodative; if < 0, it is deemed restrictive[10] **Factor Evaluation**: Effectively captures the directional stance of monetary policy, providing insights into liquidity conditions[10] - **Factor Name**: Monetary Strength Factor **Factor Construction Idea**: Based on the "interest rate corridor" concept, this factor measures the deviation of short-term market rates from policy rates[13] **Factor Construction Process**: - Calculate the deviation as DR007/7-year reverse repo rate - 1 - Smooth and standardize the deviation using z-scores - Assign scores based on thresholds: <-1.5 SD indicates accommodative conditions (score = 1), >1.5 SD indicates restrictive conditions (score = -1)[13] **Factor Evaluation**: Provides a quantitative measure of short-term liquidity conditions relative to policy rates[13] - **Factor Name**: Credit Direction Factor **Factor Construction Idea**: Measures the transmission of credit from banks to the real economy using medium- and long-term loan data[14] **Factor Construction Process**: - Calculate the monthly value of medium- and long-term loans - Compute the 12-month incremental change and its year-over-year growth - Compare the factor value to its level three months ago: an increase indicates a positive signal (score = 1), while a decrease indicates a negative signal (score = -1)[14] **Factor Evaluation**: Captures the directional flow of credit, reflecting economic support from the banking sector[14] - **Factor Name**: Credit Strength Factor **Factor Construction Idea**: Measures whether credit data significantly exceeds or falls short of expectations[18] **Factor Construction Process**: - Calculate the deviation of new RMB loans from their median forecast, normalized by the forecast's standard deviation - Assign scores based on thresholds: >1.5 SD indicates a positive surprise (score = 1), <-1.5 SD indicates a negative surprise (score = -1)[18] **Factor Evaluation**: Quantifies the strength of credit data relative to expectations, offering insights into market surprises[18] - **Factor Name**: Growth Direction Factor **Factor Construction Idea**: Based on PMI data, this factor evaluates the trend in economic growth over the past 12 months[20] **Factor Construction Process**: - Compute the 12-month moving average of PMI data (including manufacturing and non-manufacturing indices) - Calculate the year-over-year change and compare it to its level three months ago: an upward trend indicates a positive signal (score = 1), while a downward trend indicates a negative signal (score = -1)[20] **Factor Evaluation**: Effectively captures the directional trend in economic growth, providing a macroeconomic perspective[20] - **Factor Name**: Growth Strength Factor **Factor Construction Idea**: Measures whether economic growth data significantly exceeds or falls short of expectations[22] **Factor Construction Process**: - Calculate the deviation of PMI data from its median forecast, normalized by the forecast's standard deviation - Assign scores based on thresholds: >1.5 SD indicates a positive surprise (score = 1), <-1.5 SD indicates a negative surprise (score = -1)[22] **Factor Evaluation**: Quantifies the strength of economic growth data relative to expectations, offering insights into market surprises[22] - **Factor Name**: Inflation Direction Factor **Factor Construction Idea**: Evaluates the trend in inflation levels, which influence monetary policy constraints[25] **Factor Construction Process**: - Calculate the weighted average of smoothed CPI and raw PPI year-over-year changes - Compare the factor value to its level three months ago: a downward trend indicates a positive signal (score = 1), while an upward trend indicates a negative signal (score = -1)[25] **Factor Evaluation**: Provides insights into inflationary trends and their potential impact on monetary policy[25] - **Factor Name**: Inflation Strength Factor **Factor Construction Idea**: Measures whether inflation data significantly exceeds or falls short of expectations[26] **Factor Construction Process**: - Calculate the deviation of CPI and PPI data from their median forecasts, normalized by the forecast's standard deviation - Compute the average of these deviations to form the factor value - Assign scores based on thresholds: <-1.5 indicates a positive signal (score = 1), >1.5 indicates a negative signal (score = -1)[26] **Factor Evaluation**: Quantifies the strength of inflation data relative to expectations, offering insights into market surprises[26] Factor Backtesting Results - **Monetary Direction Factor**: Current score = -1[10] - **Monetary Strength Factor**: Current score = -1[13] - **Credit Direction Factor**: Current score = -1[14] - **Credit Strength Factor**: Current score = 1[18] - **Growth Direction Factor**: Current score = 1[20] - **Growth Strength Factor**: Current score = 0[22] - **Inflation Direction Factor**: Current score = 1[25] - **Inflation Strength Factor**: Current score = 1[26]

- The timing radar six-dimensional model is constructed based on multiple dimensions including liquidity, economic fundamentals, valuation, capital flow, technical signals, and crowding indicators. It aggregates 21 indicators into four categories: "valuation cost-effectiveness," "macro fundamentals," "capital & trend," and "crowding & reversal," generating a comprehensive timing score ranging from [-1,1][1][6][8] - Liquidity dimension includes factors such as monetary direction, monetary intensity, credit direction, and credit intensity. For example, the monetary direction factor is calculated based on the average change in central bank policy rates and short-term market rates over the past 90 days. If the factor is greater than 0, it indicates monetary easing; otherwise, it signals tightening[12][15][17] - Economic dimension includes growth direction and intensity factors, as well as inflation direction and intensity factors. For instance, the growth direction factor is derived from PMI data, calculating the 12-month average and year-over-year changes. If the factor shows an upward trend compared to three months ago, it signals a positive outlook[23][30][31] - Valuation dimension includes indicators such as Shiller ERP, PB, and AIAE. Shiller ERP is calculated as 1/Shiller PE minus the 10-year government bond yield, with a z-score applied over the past three years. PB and AIAE indicators follow similar z-score normalization methods[36][38][41] - Capital flow dimension is divided into domestic and foreign capital indicators. Domestic indicators include margin trading increment and trading volume trends, while foreign indicators include China's sovereign CDS spread and overseas risk aversion index. For example, the CDS spread factor signals foreign capital inflow when the 20-day difference is less than 0[44][51][54] - Technical dimension captures trends and reversal signals, such as price trends and new highs/new lows. The price trend factor uses moving average distances (ma120/ma240-1) to measure market trends and strength. The new highs/new lows factor evaluates the difference between the number of new highs and new lows among index constituents over the past year[56][59] - Crowding dimension includes derivative signals such as implied premium/discount, VIX, and SKEW, as well as convertible bond pricing deviation. For instance, the implied premium/discount factor is derived from the 50ETF's recent 5-day returns and percentile rankings, signaling market crowding levels[62][68][71] - Current timing radar scores for each dimension are as follows: liquidity (-0.50), economic fundamentals (0.50), valuation (0.32), capital flow (-0.75), technical signals (0.00), and crowding (0.76). The overall timing score is 0.08, indicating a neutral-to-positive market outlook[7][8][10]

Quantitative Models and Construction Methods - **Model Name**: Timing Radar Six-Factor Framework **Model Construction Idea**: The model evaluates equity market performance by integrating 21 indicators across six dimensions: liquidity, economic fundamentals, valuation, capital flows, technical trends, and crowding. These are further categorized into four major groups: "Valuation Cost-Effectiveness," "Macro Fundamentals," "Capital & Trend," and "Crowding & Reversal," generating a composite timing score within the range of [-1,1][1][5][7] **Model Construction Process**: 1. Select 21 indicators across six dimensions to represent market characteristics 2. Group indicators into four categories: - Valuation Cost-Effectiveness - Macro Fundamentals - Capital & Trend - Crowding & Reversal 3. Normalize the scores of each indicator to a range of [-1,1] 4. Aggregate the scores to compute a composite timing score within [-1,1][1][5][7] **Model Evaluation**: The model provides a comprehensive multi-dimensional perspective for market timing, offering insights into market trends and sentiment[1][5][7] Model Backtesting Results - **Timing Radar Six-Factor Framework**: - Composite Timing Score: -0.21 (Neutral to slightly bearish)[1][5][7] - Liquidity Score: -1.00 (Significant bearish signal)[1][7][9] - Economic Fundamentals Score: 0.00 (No significant signal)[1][7][9] - Valuation Score: -0.17 (Neutral signal)[1][7][9] - Capital & Trend Score: 0.50 (Significant bullish signal)[1][7][9] - Technical Trends Score: 0.00 (No significant signal)[1][7][9] - Crowding & Reversal Score: -0.69 (Significant bearish signal)[1][7][9] Quantitative Factors and Construction Methods Liquidity Factors - **Factor Name**: Monetary Direction Factor **Construction Idea**: Measures the direction of monetary policy using central bank policy rates and short-term market rates **Construction Process**: - Calculate the average change in policy and market rates over the past 90 days - If the factor > 0, monetary policy is deemed expansionary; if < 0, it is contractionary **Current View**: The factor is < 0, signaling a bearish outlook with a score of -1[11][13] - **Factor Name**: Monetary Intensity Factor **Construction Idea**: Based on the "interest rate corridor" concept, measures the deviation of short-term market rates from policy rates **Construction Process**: - Compute deviation = DR007/7-year reverse repo rate - 1 - Smooth and normalize using z-score - If the factor < -1.5 standard deviations, it indicates a bullish environment; if > 1.5, it is bearish **Current View**: The factor signals a bearish outlook with a score of -1[14][15][16] - **Factor Name**: Credit Direction Factor **Construction Idea**: Reflects the transmission of credit from banks to the real economy using long-term loan data **Construction Process**: - Calculate the 12-month incremental change in long-term loans - Compare the year-over-year change to three months prior - If the factor is rising, it is bullish; if falling, it is bearish **Current View**: The factor signals a bearish outlook with a score of -1[17][19] - **Factor Name**: Credit Intensity Factor **Construction Idea**: Captures whether credit metrics significantly exceed or fall short of expectations **Construction Process**: - Compute = (New RMB loans - median forecast) / forecast standard deviation - Normalize using z-score - If the factor > 1.5 standard deviations, it is bullish; if < -1.5, it is bearish **Current View**: The factor signals a bearish outlook with a score of -1[20][22] Economic Factors - **Factor Name**: Growth Direction Factor **Construction Idea**: Based on PMI data, measures the trend of economic growth **Construction Process**: - Calculate the 12-month moving average of PMI data - Compare the year-over-year change to three months prior - If the factor is rising, it is bullish; if falling, it is bearish **Current View**: The factor signals a bullish outlook with a score of 1[23][24] - **Factor Name**: Growth Intensity Factor **Construction Idea**: Captures whether economic growth metrics significantly exceed or fall short of expectations **Construction Process**: - Compute PMI surprise = (PMI - median forecast) / forecast standard deviation - Normalize using z-score - If the factor > 1.5 standard deviations, it is bullish; if < -1.5, it is bearish **Current View**: The factor signals a bearish outlook with a score of -1[25][27] - **Factor Name**: Inflation Direction Factor **Construction Idea**: Measures the trend of inflation using CPI and PPI data **Construction Process**: - Compute = 0.5 × smoothed CPI year-over-year + 0.5 × raw PPI year-over-year - Compare the change to three months prior - If the factor is falling, it is bullish; if rising, it is bearish **Current View**: The factor signals a bearish outlook with a score of -1[28][30] - **Factor Name**: Inflation Intensity Factor **Construction Idea**: Captures whether inflation metrics significantly exceed or fall short of expectations **Construction Process**: - Compute CPI and PPI surprises = (Reported value - median forecast) / forecast standard deviation - Average the two surprises to form the factor - If the factor < -1.5, it is bullish; if > 1.5, it is bearish **Current View**: The factor signals a bullish outlook with a score of 1[31][33] Valuation Factors - **Factor Name**: Shiller ERP **Construction Idea**: Adjusts for economic cycles to evaluate market valuation **Construction Process**: - Compute Shiller PE = average inflation-adjusted earnings over the past six years - Compute ERP = 1/Shiller PE - 10-year government bond yield - Normalize using z-score over the past three years **Current View**: The factor score decreased to 0.39[34][38] - **Factor Name**: PB **Construction Idea**: Similar to ERP, evaluates market valuation using price-to-book ratio **Construction Process**: - Compute PB × (-1) - Normalize using z-score over the past three years - Truncate to ±1 range **Current View**: The factor score decreased to -0.49[36][39] - **Factor Name**: AIAE **Construction Idea**: Reflects market-wide equity allocation and risk appetite **Construction Process**: - Compute AIAE = total market cap of CSI All Share Index / (total market cap + total debt) - Multiply by (-1) and normalize using z-score over the past three years **Current View**: The factor score decreased to -0.41[40][42] Capital Flow Factors - **Factor Name**: Margin Trading Increment **Construction Idea**: Measures market leverage and sentiment using margin trading data **Construction Process**: - Compute = financing balance - short selling balance - Compare the 120-day moving average increment to the 240-day moving average increment - If the short-term increment > long-term increment, it is bullish; otherwise, bearish **Current View**: The factor signals a bullish outlook with a score of 1[44][46] - **Factor Name**: Turnover Trend **Construction Idea**: Measures market activity and capital flow using turnover data **Construction Process**: - Compute log turnover moving average distance = ma120/ma240 - 1 - If the maximum of the 10, 30, and 60-day distances is positive, it is bullish; otherwise, bearish **Current View**: The factor signals a bullish outlook with a score of 1[47][49] - **Factor Name**: China Sovereign CDS Spread **Construction Idea**: Reflects foreign investors' sentiment towards China's credit risk **Construction Process**: - Compute the 20-day difference of smoothed CDS spreads - If the difference < 0, it is bullish; otherwise, bearish **Current View**: The factor signals a bullish outlook with a score of 1[50][51] - **Factor Name**: Overseas Risk Aversion Index **Construction Idea**: Captures global risk sentiment using Citi RAI Index **Construction Process**: - Compute the 20-day difference of smoothed RAI - If the difference < 0, it is bullish; otherwise, bearish **Current View**: The factor signals a bearish outlook with a score