超跌反弹后关注二次测试

Quantitative Models and Construction Methods - Model Name: Three-dimensional Timing Framework Model Construction Idea: The model integrates liquidity, divergence, and prosperity indicators to assess market timing[6][13][15] Model Construction Process: 1. Liquidity Index: Measures market liquidity trends[24] 2. Divergence Index: Captures market disagreement levels[19] 3. Prosperity Index: Reflects economic activity and market sentiment[22] These three dimensions are combined to form a comprehensive timing framework[13][15] Model Evaluation: The framework indicates a downward market trend with limited short-term rebound potential[6][13] - Model Name: All-weather Strategy Model Construction Idea: Focuses on risk diversification and avoids reliance on predictions for stable returns[42][53] Model Construction Process: 1. Asset Selection: Diversified across equities, bonds, and commodities[55] 2. Risk Adjustment: Balances risk exposure through structured layers[46][48] 3. Structural Hedging: Implements cyclic hedging to smooth volatility[42][47][48] Model Evaluation: High-wave version achieves higher returns with moderate risk, while low-wave version prioritizes stability[53] - Model Name: Hotspot Trend ETF Strategy Model Construction Idea: Identifies ETFs with strong upward trends and high market attention[29][32] Model Construction Process: 1. Select ETFs with simultaneous upward trends in highest and lowest prices[29] 2. Construct support-resistance factors based on 20-day regression slopes[29] 3. Choose top ETFs with the highest turnover ratios in the past 5 and 20 days[29] Model Evaluation: The strategy outperformed the CSI 300 index with a 56.47% return since 2025[29][30] Model Backtesting Results - Three-dimensional Timing Framework: No specific numerical backtesting results provided - All-weather Strategy: - High-wave version: Annualized return 11.8%, max drawdown 3.6%, Sharpe ratio 1.9 (2025)[53] - Low-wave version: Annualized return 6.7%, max drawdown 2.0%, Sharpe ratio 2.4 (2025)[53] - 2026 YTD: High-wave return 1.8%, low-wave return 1.2%[53] - Hotspot Trend ETF Strategy: - Return since 2025: 56.47% - Excess return over CSI 300: 38.62%[29][30] Quantitative Factors and Construction Methods - Factor Name: Volatility Factor Factor Construction Idea: Captures stocks with high price fluctuations[56] Factor Construction Process: Measures weekly returns of high-volatility stocks[56] Factor Evaluation: Positive weekly return of 1.95%, indicating market preference for high-volatility stocks[56][57] - Factor Name: Momentum Factor Factor Construction Idea: Identifies stocks with strong upward price trends[56] Factor Construction Process: Calculates weekly returns of high-momentum stocks[56] Factor Evaluation: Positive weekly return of 1.58%, reflecting market interest in momentum stocks[56][57] - Factor Name: Leverage Factor Factor Construction Idea: Targets stocks with high financial leverage[56] Factor Construction Process: Measures weekly returns of high-leverage stocks[56] Factor Evaluation: Positive weekly return of 0.96%, showing market favor for leveraged stocks[56][57] - Factor Name: Twelve-month Residual Momentum Factor Construction Idea: Tracks residual momentum over a 12-month period[61] Factor Construction Process: $ specific_mom12 = residual_momentum_12months $ Measures excess returns of stocks with strong residual momentum[61][62] Factor Evaluation: Weekly excess return of 0.87%, monthly excess return of 0.46%[61][62] - Factor Name: 1-year-1-month Return Factor Factor Construction Idea: Compares returns between 1-year and 1-month periods[61] Factor Construction Process: $ mom_1y_1m = (return_1year - return_1month) $ Calculates excess returns based on the difference between long-term and short-term returns[61][62] Factor Evaluation: Weekly excess return of 0.79%, monthly excess return of -0.03%[61][62] Factor Backtesting Results - Volatility Factor: Weekly return 1.95%[56][57] - Momentum Factor: Weekly return 1.58%[56][57] - Leverage Factor: Weekly return 0.96%[56][57] - Twelve-month Residual Momentum: Weekly excess return 0.87%, monthly excess return 0.46%[61][62] - 1-year-1-month Return Factor: Weekly excess return 0.79%, monthly excess return -0.03%[61][62]