Quantitative Models and Construction Methods 1. Model Name: Broad-based Index Rotation Strategy - **Model Construction Idea**: The strategy is based on the weekly change rate of the total sentiment heat (MA2) for broad-based indices. The model selects the index with the highest heat change rate for investment, while staying in cash if the "Other" group has the highest rate [7][12][15] - **Model Construction Process**: 1. Calculate the weekly heat change rate for each broad-based index (CSI 300, CSI 500, CSI 1000, CSI 2000, and "Other") 2. Smooth the weekly change rate using a 2-period moving average (MA2) 3. At the end of each week, invest in the index with the highest MA2 heat change rate. If the "Other" group has the highest rate, remain in cash [8][9][12] - **Model Evaluation**: The model demonstrates a systematic approach to capturing short-term sentiment-driven opportunities in broad-based indices [12][15] --- Model Backtesting Results 1. Broad-based Index Rotation Strategy - **Annualized Return (2017-Present)**: 8.74% - **Maximum Drawdown**: 23.5% - **2025 YTD Return**: 10.6% [15] --- Quantitative Factors and Construction Methods 1. Factor Name: Total Sentiment Heat - **Factor Construction Idea**: The factor aggregates the sentiment heat of individual stocks within a broader category (broad-based indices, industries, or concepts) to serve as a proxy for market sentiment [7] - **Factor Construction Process**: 1. Define the total sentiment heat for individual stocks as the sum of their browsing, watchlist, and click counts 2. Normalize the sentiment heat by dividing it by the total market heat on the same day 3. Multiply the normalized value by 10,000 to scale the indicator within the range [0, 10,000] 4. Aggregate the total sentiment heat of all constituent stocks within a specific category (e.g., broad-based indices, industries, or concepts) [7] - **Factor Evaluation**: The factor effectively captures market sentiment dynamics, particularly at the individual stock level, where mispricing due to limited attention is more pronounced [7] 2. Factor Name: Weekly Heat Change Rate (MA2) - **Factor Construction Idea**: This factor measures the weekly change rate of sentiment heat for a specific category, smoothed using a 2-period moving average (MA2) [7][19][27] - **Factor Construction Process**: 1. Calculate the weekly change rate of total sentiment heat for each category (e.g., broad-based indices, industries, or concepts) 2. Apply a 2-period moving average (MA2) to smooth the weekly change rate [19][27] - **Factor Evaluation**: The MA2 smoothing process enhances the stability of the factor, making it suitable for identifying short-term sentiment trends [19][27] --- Factor Backtesting Results 1. Total Sentiment Heat - **Indicator Range**: [0, 10,000] (normalized and scaled) [7] 2. Weekly Heat Change Rate (MA2) - **Broad-based Indices**: - CSI 500: +2.11% (highest weekly increase) - CSI 1000: -1.54% (lowest weekly decrease) [15] - **Industries (Shenwan Level 1)**: - Top 5 Positive Changes: Communication (+29.1%), Environmental Protection, Computer, Building Materials, Social Services - Top 5 Negative Changes: Automotive, Coal, Transportation, Utilities, Comprehensive (-35.2%) [26] - **Concepts**: - Top 5 Positive Changes: Football Concept (+152.7%), Military Restructuring (+128.7%), Dental Medical (+93.4%), Beer Concept (+90.7%), Digital Currency (+84.5%) [27][30] 3. Heat-based Concept Portfolios - **BOTTOM Portfolio**: - **Annualized Return**: 15.71% - **Maximum Drawdown**: 28.89% - **2025 YTD Return**: 22.3% [32]

Market Performance - As of June 6, the Tianjin Free Trade Zone concept index rose by 2.60%, ranking second among concept sectors, with seven stocks increasing in value [1] - Notable gainers included HNA Technology, Bohai Chemical, and Haitai Development, which hit the daily limit, while HNA Technology, Tianjin Pulin, and Youfa Group saw increases of 9.03%, 2.68%, and 1.56% respectively [1] Sector Comparison - The Tianjin Free Trade Zone concept was among the top-performing sectors, with a net inflow of 120 million yuan from main funds, indicating strong investor interest [2] - The leading stocks in terms of net fund inflow were HNA Technology, Bohai Chemical, and Jintou City Development, with net inflows of 90.06 million yuan, 86.73 million yuan, and 47.65 million yuan respectively [2] Fund Flow Analysis - The net inflow ratios for Haitai Development, Jintou City Development, and Bohai Chemical were 51.10%, 20.62%, and 14.08% respectively, indicating significant investor confidence in these stocks [3] - The detailed fund flow data showed that HNA Technology had a trading volume of 90.06 million yuan with a turnover rate of 9.89%, while Bohai Chemical had a turnover rate of 13.09% [3][4]

Group 1 - As of June 6, the PVDF concept index rose by 1.76%, ranking 8th among concept sectors, with 10 stocks increasing in value [1] - Notable gainers in the PVDF sector included Zhejiang Zhongcheng, which hit the daily limit, and other companies like Yonghe Co., ST Lianchuang, and Duofluo, which rose by 6.56%, 2.63%, and 2.61% respectively [1] - The sector experienced a net inflow of 273 million yuan, with Zhejiang Zhongcheng leading the inflow at 189 million yuan, followed by Yonghe Co. and Juhua Co. with inflows of 54.89 million yuan and 31.85 million yuan respectively [2][3] Group 2 - The top stocks in terms of net inflow ratio included Zhejiang Zhongcheng at 45.14%, Yonghe Co. at 12.54%, and Duofluo at 7.03% [3] - The trading volume for Zhejiang Zhongcheng was significant, with a turnover rate of 8.96% and a price increase of 9.94% [3] - Other stocks in the PVDF sector showed varied performance, with some experiencing declines, such as Heimao Co. and Jinming Precision Machinery, which fell by 1.17% and 1.93% respectively [4]

Group 1 - The acrylic acid concept sector rose by 1.88%, ranking 7th among concept sectors, with 8 stocks increasing in value, including Bohai Chemical which hit the daily limit, and Shuangxiang Co., Shenyang Chemical, and Baolijia showing gains of 4.49%, 2.93%, and 2.59% respectively [1] - The main inflow of funds into the acrylic acid concept sector was 158 million yuan, with Bohai Chemical leading the net inflow at 86.73 million yuan, followed by Wanhua Chemical, Satellite Chemical, and Rike Chemical with net inflows of 71.24 million yuan, 17.03 million yuan, and 11.80 million yuan respectively [2] - In terms of net inflow ratios, Bohai Chemical, Shenyang Chemical, and Rike Chemical had the highest ratios at 14.08%, 5.97%, and 5.93% respectively [3] Group 2 - The top stocks in the acrylic acid concept sector included Bohai Chemical with a daily increase of 10.10% and a turnover rate of 13.09%, while Wanhua Chemical increased by 1.14% with a turnover rate of 0.77% [3][4] - Stocks that experienced declines included Tianlong Group, which fell by 0.98%, and Benli Technology and Acoly, both down by 0.35% [1][4] - The overall performance of the acrylic acid concept sector indicates a positive trend, with significant capital inflows and several stocks showing strong gains [2][3]

Group 1 - The core viewpoint of the article highlights the decline of the artemisinin concept sector, which fell by 0.82%, ranking among the top declines in the concept sector [1][2] - Within the artemisinin concept sector, major companies such as Rundu Co., Zhejiang Medicine, and Kunming Pharmaceutical experienced significant declines, while only two stocks, Delong Huineng and Baiyunshan, saw increases of 1.06% and 0.37% respectively [1][2] - The article provides a detailed overview of the capital flow, indicating a net outflow of 58 million yuan from the artemisinin concept sector, with Rundu Co. leading the outflow at 43.43 million yuan [2] Group 2 - The article lists the top-performing concept sectors, with the military equipment restructuring concept leading with a gain of 3.92%, while the artemisinin concept was among the worst performers [2] - A table is provided showing the capital flow for various companies within the artemisinin concept, detailing their respective price changes and turnover rates, with Rundu Co. showing a significant outflow [2]