Market Sentiment Tracking - As of June 30, 2025, the proportion of rising stocks in the CSI 300 has increased month-on-month, with over 60% of stocks rising, indicating high market sentiment [3] - The momentum sentiment indicator shows a fast line moving upwards and a slow line moving downwards, with the fast line above the slow line, suggesting a bullish outlook in the near term [3] - The short-term CSI 300 index is in a sentiment boom range [3] Fund Separation Degree Tracking - As of June 30, 2025, the fund separation degree has slightly increased and is currently at a low level, indicating a high degree of fund clustering [4] - The excess returns of clustered stocks have slightly increased, while the excess returns of clustered funds have slightly decreased [4] PB-ROE-50 Strategy Tracking - In June 2025, the PB-ROE-50 strategy achieved positive excess returns across various stock pools [5] - The strategy based on the CSI 500 stock pool gained an excess return of 0.92% [5] - The strategy based on the CSI 800 stock pool achieved an excess return of 3.92% [5] - The strategy based on the entire market stock pool obtained an excess return of 4.59% [5] Institutional Research Strategy Tracking - In June 2025, both public and private research selection strategies generated positive excess returns [6] - The public research selection strategy achieved an excess return of 5.55% relative to the CSI 800 [6] - The private research tracking strategy gained an excess return of 1.90% relative to the CSI 800 [6] Negative List - As of June 30, 2025, several stocks with high interest-bearing debt ratios ranked poorly, including Zhongyida, Guiding Compass, and Modern Investment, among others [7] - Stocks with high financial cost burden ratios include Liao Ning Cheng Da, Yin Bao Shan Xin, and A Shi Chuang, with all indicators exceeding 10 times [7]

Report Summary 1. Report Industry Investment Rating No information provided regarding the report industry investment rating. 2. Core View of the Report The report aims to objectively reflect the research views of futures companies and securities companies on various commodity varieties, track hot - spot varieties, analyze market investment sentiment, and summarize investment driving logics. It is based on the publicly - released research reports of institutions in the current week, and the closing price data is from last Friday, with the weekly change calculated as the change in the closing price from the previous Friday [2]. 3. Summary by Relevant Catalogs 3.1行情数据 - **Commodities**: From June 23 to June 27, 2025, commodities such as coke, copper, and iron ore had price increases, with coke rising 2.67%, copper rising 2.47%, and iron ore rising 1.92%. Commodities like corn, gold, and palm oil had price decreases, with corn falling 1.04%, gold falling 1.56%, and palm oil falling 1.87%. Crude oil had a significant drop of 12.02% [3]. - **A - shares**: During the same period, the CSI 500 rose 3.98%, the SSE 50 rose 1.27%, and the CSI 300 rose 1.95% [3]. - **Overseas Stocks**: The Nikkei 225 rose 4.55%, the Nasdaq Index rose 4.25%, and the S&P 500 rose 3.44% [3]. - **Bonds**: The 5 - year Chinese Treasury bond rose 0.64%, the 10 - year Chinese Treasury bond rose 0.30%, and the 2 - year Chinese Treasury bond rose 0.19% [3]. - **Foreign Exchange**: The euro - US dollar exchange rate rose 1.69%, the US dollar index fell 1.52%, and the US dollar central parity rate fell 0.09% [3]. 3.2大宗商品观点汇总 3.2.1宏观金融板块 - **Stock Index Futures**: Among 8 institutions' views, 2 were bullish, 1 was bearish, and 5 were for a sideways market. Bullish factors included rising Fed rate - cut expectations, a low risk - premium rate of the CSI 300, increased issuance of equity - oriented public funds, and sufficient bottom - supporting funds. Bearish factors included short - term difficulty in improving corporate fundamentals, the central bank's change in monetary policy stance, and over - heated market sentiment [4]. - **Treasury Bond Futures**: Among 7 institutions' views, 3 were bullish, 1 was bearish, and 3 were for a sideways market. Bullish factors included net liquidity injection by the central bank, weak credit and inflation data, and strong demand for bond allocation. Bearish factors included the central bank's change in monetary policy stance, the stock - bond seesaw effect, and rising long - term interest rates [4]. 3.2.2能源板块 - **Crude Oil**: Among 9 institutions' views, 3 were bullish, 2 were bearish, and 4 were for a sideways market. Bullish factors included falling US and Cushing crude oil inventories, reduced Russian exports, and geopolitical tensions. Bearish factors included the decline in geopolitical premiums, expected OPEC production increases, and weak terminal demand [5]. - **Eggs**: Among 8 institutions' views, 2 were bullish, 2 were bearish, and 4 were for a sideways market. Bullish factors included postponed peak - season stocking, approaching stocking season, potential egg - price increases, and reduced supply due to heat. Bearish factors included limited decline in laying - hen inventory, high chick - replenishment volume, high new - production capacity, and postponed downstream stocking [5]. 3.2.3有色板块 - **Copper**: Among 7 institutions' views, 5 were bullish, 0 were bearish, and 2 were for a sideways market. Bullish factors included rising Fed rate - cut expectations, improved risk appetite, and falling global visible inventories. Bearish factors included the substitution effect of recycled copper, weakening downstream procurement, and weakening terminal demand [6]. - **Methanol**: Among 7 institutions' views, 0 were bullish, 1 was bearish, and 6 were for a sideways market. Bullish factors included limited port - available goods, expected low port inventories, and increased downstream demand. Bearish factors included expected increases in Iranian imports, port inventory accumulation, potential MTO device maintenance, and a loosening supply - demand pattern [6]. 3.2.4贵金属 - **Gold**: Among 7 institutions' views, 4 were bullish, 1 was bearish, and 2 were for a sideways market. Bullish factors included rising Fed rate - cut expectations, a downward trend in real interest rates, and the strengthening of gold's safe - haven property. Bearish factors included reduced safe - haven demand, capital flowing to risky assets, and technical - level sell - offs [7]. 3.2.5黑色板块 - **Iron Ore**: Among 8 institutions' views, 2 were bullish, 2 were bearish, and 4 were for a sideways market. Bullish factors included increased molten - iron production, expected decline in overseas shipments, and improved macro sentiment. Bearish factors included rising port inventories, increased global shipments, weakening demand for five major steel products, and narrowing basis [7].

Quantitative Models and Construction Methods 1. Model Name: Market Sentiment Timing Model - **Model Construction Idea**: The model is built from a structural perspective to quantify market sentiment using various sub-indicators[7] - **Model Construction Process**: - The model uses sub-indicators such as industry trading volatility, trading crowding, price-volume consistency, Sci-Tech Innovation Board (STAR 50) trading proportion, industry trend, RSI, main buying force, PCR combined with VIX, and financing balance ratio[8] - Each sub-indicator is scored based on its sentiment direction and position within Bollinger Bands. Scores are categorized as (-1, 0, 1)[8] - The final sentiment structural indicator is the 20-day moving average of the summed scores. The indicator fluctuates around 0 within the range of [-6, 6][8] - **Model Evaluation**: The model effectively captures market sentiment trends and provides actionable insights for timing decisions[8] 2. Model Name: Moving Average Scoring System (MASS) - **Model Construction Idea**: This model evaluates long-term and short-term trends of indices using N-day moving averages to generate timing signals[18] - **Model Construction Process**: - For N moving averages (N=360 for long-term, N=60 for short-term), scores are assigned based on the relative position of adjacent moving averages. If a shorter moving average is above a longer one, it scores 1; otherwise, it scores 0[18] - The scores are standardized to a 0-100 scale and averaged to derive the trend score at a specific time point[18] - Long/short-term timing signals are generated based on the crossover of the trend score with its 100/20-day moving average[18] - **Model Evaluation**: The model provides clear signals for sector rotation and market style preferences, favoring value and defensive sectors in the current environment[18] 3. Model Name: RSI Style Timing Model - **Model Construction Idea**: The model uses the Relative Strength Index (RSI) to compare the relative strength of different market styles (e.g., growth vs. value, small-cap vs. large-cap)[22] - **Model Construction Process**: - For two indices A and B, calculate the standardized ratio of their net values over a fixed period[22] - Compute the average gain (Gain) and average loss (Loss) over N days, where gains on down days are treated as 0 and losses on up days are treated as 0[22] - RSI formula: $ RSI = 100 - 100 / (1 + Gain / Loss) $ - RSI values range from 0 to 100, with values above 50 indicating stronger buying pressure[22] - The model calculates 5-day, 20-day, and 60-day RSI values. When the 20-day RSI exceeds the 60-day RSI, the numerator style is favored; otherwise, the denominator style is favored[22] - **Model Evaluation**: The model effectively identifies style dominance, currently favoring large-cap and value styles while noting short-term strengthening of growth and small-cap styles[22] --- Model Backtesting Results 1. Market Sentiment Timing Model - Sentiment indicator value as of April 30, 2025: 0.8, indicating a recovery in market sentiment[9] 2. Moving Average Scoring System (MASS) - Short-term signals: Positive for sectors like beauty care (72.88), utilities (86.44), banking (74.58), and oil & petrochemicals (22.03)[19] - Long-term signals: Positive for sectors like banking (95.54), machinery (78.55), and steel (51.25)[19] 3. RSI Style Timing Model - Growth/Value (300 Growth/300 Value): RSI 20-day = 53.02, RSI 60-day = 50.42, favoring value[25] - Small-cap/Large-cap (SW Small/SW Large): RSI 20-day = 48.84, RSI 60-day = 53.62, favoring large-cap[25] --- Quantitative Factors and Construction Methods 1. Factor Name: RSI - **Factor Construction Idea**: Measures the relative strength of buying and selling forces over a specific period[22] - **Factor Construction Process**: - Calculate the average gain (Gain) and average loss (Loss) over N days[22] - Formula: $ RSI = 100 - 100 / (1 + Gain / Loss) $ - RSI values range from 0 to 100, with higher values indicating stronger buying pressure[22] - **Factor Evaluation**: Provides a robust measure of market momentum and style preferences[22] --- Factor Backtesting Results 1. RSI - Growth/Value (300 Growth/300 Value): RSI 20-day = 53.02, RSI 60-day = 50.42, favoring value[25] - Small-cap/Large-cap (SW Small/SW Large): RSI 20-day = 48.84, RSI 60-day = 53.62, favoring large-cap[25]