Step 1: 对50ETF波指和300波指的分位数水平等权平均得到VIX分位数，取1-VIX分位数作为期权波动率指数代表的市场情绪； Step 2：对全A换手率、沪深两市成交额、北向周度净流入、VIX历史分位数做等权平均 1.申万情绪温度计模型：常用的市场情绪指标缺乏敏锐度，对反转的指示性不强 根据《13个市场风险指标看A股当前位置》、《市场情绪温度计提示当前温度回升——量化择时周报20230306》，我们曾经从资金流向、市场交易等多个角度选择5个市场风 险指标构成情绪温度计。这5个指标分别是全A换手率、沪深两市成交额，资金流向指标：北上资金，"恐慌指数"：沪深300股指期权波动率指数和上证50ETF期权波动率指数 （VIX）。其中，交易指标通过市场交易行为来判断市场情绪，通常在市场情绪低迷时，两市成交额和换手率倾向于在低位震荡。通过北上资金的累计5日净流入数据可以反映 外资信心。 情绪指标温度计的构成方法分为以下三步： Step 3：取5日平均进行平滑处理，得到情绪温度计指标 可以看到经过量化的市场情绪波动较为频繁，对于市场拐点的判断不够敏锐。由于涵盖指标数量较少，情绪数值的上行下跌受个别指标的影响较大。 ...

Market Sentiment - The current market sentiment score is 93, indicating an "overheated" market condition, which suggests a potential resistance to further upward movement [6][9][17]. Hot Themes Tracking - **Brain-Computer Interface Theme**: The National Healthcare Security Administration has introduced a new pricing mechanism for innovative medical technologies, including a "brain-computer interface implantation fee," which is expected to accelerate the clinical application of innovative drugs and devices. Related stocks include Innovation Medical (002173) and Weisi Medical (688580) [6]. - **Robotics Theme**: The first World Humanoid Robot Games took place in Beijing, showcasing advancements in motion control and practical applications. Related stocks include Wolong Electric (600580) and Changsheng Bearing (300718) [6]. - **Logistics Theme**: The State Post Bureau held discussions to address issues in the express delivery industry, promoting high-quality development. The commercialization of unmanned logistics vehicles is also gaining traction, particularly in the "last mile" delivery segment. Related stocks include Shentong Express (002468) and SF Holding (002352) [6]. Capital Flow Analysis - **Top Net Inflow Stocks**: The top stocks with significant net inflows include Dongfang Caifu (573.36 million), Zhinanzhen (141.55 million), and Zhongke Sanhuan (62.22 million) [10]. - **Top Net Outflow Stocks**: The stocks with the highest net outflows include Dongshan Precision (-91.66 million), Heertai (-84.24 million), and Sifang Chuangxin (-74.04 million) [12][18]. - **Industry Net Inflows**: The non-bank financial sector saw the highest net inflow at 825.98 million, followed by electrical equipment (188.82 million) and household appliances (115.79 million) [15][16]. Investment Strategy Recommendations - In an "overheated" market, it is advisable to consider reducing positions to avoid buying at market peaks and to be cautious of potential market bubbles [17].

点击注册小程序 截至2025年6月30日，沪深300上涨家数占比指标最近一个月环比上月上升，上涨家数占比指标高于60%， 市场情绪较高；从动量情绪指标走势来看，近一月快线向上、慢线向下，快线处于慢线上方，预计在未来 一段时间内将维持看多观点；从均线情绪指标来看，短期内沪深300指数处于情绪景气区间。 基金分离度跟踪： 查看完整报告 特别申明： 本订阅号中所涉及的证券研究信息由光大证券研究所编写，仅面向光大证券专业投资者客户，用作新媒体形势下研究 信息和研究观点的沟通交流。非光大证券专业投资者客户，请勿订阅、接收或使用本订阅号中的任何信息。本订阅号 难以设置访问权限，若给您造成不便，敬请谅解。光大证券研究所不会因关注、收到或阅读本订阅号推送内容而视相 关人员为光大证券的客户。 报告摘要 市场情绪追踪： 机构调研策略跟踪： 2025年6月，公募调研选股策略和私募调研跟踪策略获取正超额收益。公募调研选股策略相对中证800获取 超额收益5.55%，私募调研跟踪策略相对中证800获取超额收益1.90%。 负面清单： 截至2025年6月30日，宽松有息负债率排名前30的股票中，中毅达、指南针、现代投资、春兴精工、奥飞 数 ...

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]