股指期货日度数据跟踪 2025-06-04 一、指数走势 06 月 03 日，上证综指涨跌幅 0.43%，收于 3361.98 点，成交额 4682.93 亿元，深成指数涨跌幅 0.16%，收于 10057.17 点，成交额 6731.17 亿元。 中证 1000 指数涨跌幅 0.72%，成交额 2342.97 亿元，其中开盘价 6009.18，收盘价 6070.04，当日最高价 6086.62，最低价 6008.54； 中证 500 指数涨跌幅 0.42%，成交额 1599.97 亿元，其中开盘价 5653.67，收盘价 5694.84，当日最高价 5710.42，最低价 5653.3； 沪深 300 指数涨跌幅 0.31%，成交额 2267.83 亿元，其中开盘价 3833.46，收盘价 3852.01，当日最高价 3863.3，最低价 3832.72； 上证 50 指数涨跌幅 0.32%，成交额 590.77 亿元，其中开盘价 2674.77，收盘价 2687.3，当日最高价 2697.39，最低价 2671.34。 数据来源：Wind，光期研究所 数据来源：Wind，光期研究所 二、板块涨跌对指数影响 ...

| 料 | | | | | | | --- | --- | --- | --- | --- | --- | | 钢铁 | 11.96 | -15.60 | 0.61 | -0.13 | -0.50 | | 建筑装 饰 | 27.79 | -9.92 | 1.00 | 0.44 | -1.11 | | 煤炭 | 9.60 | -22.62 | 0.73 | -0.33 | -1.18 | | 环保 | 17.37 | -5.42 | 1.95 | 0.97 | -1.71 | | 非银金 融 | 28.25 | -3.94 | 0.68 | 0.26 | -6.44 | | 房地产 | 33.77 | -9.79 | 1.55 | -0.11 | -7.42 | | 机械设 | | | | | | | 备 | 78.95 | 6.36 | 2.95 | 0.36 | -7.46 | | 有色金 | 33.54 | -0.93 | 1.55 | 0.54 | -7.65 | | 属 | | | | | | | 交通运 | 50.00 | -3.44 | 1.19 | 0.14 | -14.03 | | 输 | | ...

- Model Name: Diffusion Index Model; Model Construction Idea: The model is based on the observation of industry diffusion indices; Detailed Construction Process: The model tracks the weekly changes in diffusion indices for various industries, ranking them based on their performance. The formula used is $ \text{Diffusion Index} = \frac{\text{Number of Advancing Stocks}}{\text{Total Number of Stocks}} $; Model Evaluation: The model has shown varying performance over the years, with significant returns in some periods and notable drawdowns in others[6][14][27] - Model Name: GRU Factor Model; Model Construction Idea: The model utilizes GRU (Gated Recurrent Unit) deep learning networks to analyze minute-level price and volume data; Detailed Construction Process: The model ranks industries based on GRU factor scores, which are derived from the GRU network's analysis of trading data. The formula used is $ \text{GRU Factor Score} = \text{GRU Network Output} $; Model Evaluation: The model has achieved substantial excess returns by capturing trading information, though it has faced challenges in certain market conditions[7][14][34] Model Backtest Results - Diffusion Index Model, Average Weekly Return: 0.72%, Excess Return: 0.11%, Year-to-Date Excess Return: -2.26%[32] - GRU Factor Model, Average Weekly Return: 1.07%, Excess Return: 0.44%, Year-to-Date Excess Return: -3.71%[37] Factor Construction and Evaluation - Factor Name: GRU Industry Factor; Factor Construction Idea: The factor is constructed using GRU deep learning networks to analyze minute-level trading data; Detailed Construction Process: The factor scores are calculated based on the GRU network's output, which evaluates the trading data to rank industries. The formula used is $ \text{GRU Factor Score} = \text{GRU Network Output} $; Factor Evaluation: The factor has shown significant improvements in certain industries, indicating its effectiveness in capturing trading information[7][14][35] Factor Backtest Results - GRU Industry Factor, Top Industries: Automotive (2.84), Steel (1.85), Media (1.48), Power Equipment and New Energy (1.35), Communication (0.88), Coal (0.66)[7][14][35]

Group 1 - The "Jiangxi sector" achieved nearly 1.08 trillion yuan in total operating revenue in 2024, ranking tenth among 31 provinces and cities in China [1] - Jiangxi listed companies distributed a total dividend of nearly 10.4 billion yuan in 2024, with a dividend payout ratio of approximately 77%, ranking eighth nationwide [1][3] - Jiangxi Copper (600362) reported over 520 billion yuan in operating revenue for 2024, with a net profit of 6.962 billion yuan, marking a year-on-year increase of 7.03% [1] Group 2 - JinkoSolar (688223) topped the A-share photovoltaic industry with an annual operating revenue of 92.471 billion yuan, achieving a global module shipment of 92.87 GW, a year-on-year growth of 18.28% [1] - The company maintained its position as the global leader in module shipments for the sixth consecutive year, with N-type module shipments accounting for 88% of total shipments in 2024 [1] Group 3 - Major infrastructure projects like the Gan-Shen High-speed Railway and Gan-Yue Canal are transforming Jiangxi from an "inland hinterland" to an "open frontier" [2] - Jiangxi Copper is expanding internationally with new offices in South America and Southeast Asia, while JinkoSolar is establishing a new battery and module factory in Saudi Arabia [2] - Other companies like Funeng Technology (688567) and Nipe Mining (300818) are also advancing their international strategies, indicating a trend of "Jiangxi manufacturing" integrating into the global supply chain [2] Group 4 - Jiangxi listed companies are focusing on refining their core businesses while actively implementing the "1269" action plan to upgrade traditional industries and foster emerging sectors [3] - In 2024, Jiangxi Copper allocated 2.417 billion yuan for cash dividends, with several other companies also distributing over 500 million yuan in dividends [3] - The overall dividend distribution of nearly 10.4 billion yuan reflects a strong commitment to shareholder returns and social responsibility among Jiangxi enterprises [3] Group 5 - As the "14th Five-Year Plan" approaches its conclusion, Jiangxi listed companies are showing promising new developments, with traditional industry giants and emerging players competing in the capital market [4] - The formation of a trillion-level non-ferrous metal industry cluster and a photovoltaic new energy base is expected to enhance the national ranking of the "Jiangxi sector" in the next five years [4]

Group 1 - The core viewpoint emphasizes the need to increase the income of the middle and low-income groups, significantly develop service consumption, and enhance consumption's role in driving economic growth [1] - China's consumption scale is substantial, but its proportion in the national economy and total demand remains relatively low, indicating potential for growth [1] - The country possesses the world's largest middle-income group, with opportunities for consumption upgrades and industrial transformation providing a broad space for innovation [1] Group 2 - Policy tools include both short-term measures like trade-in programs and consumption vouchers, as well as long-term reforms such as the construction of a unified national market and pilot programs for service consumption [1] - The Hong Kong stock market showed a positive trend with significant gains in sectors like new energy vehicles, home appliances, tourism, and media, indicating a recovery in consumer sentiment [1] - The Hong Kong Consumption ETF (159735) has seen active trading, reflecting a higher proportion of new consumption types compared to A-shares, which are more focused on high-end liquor consumption [1] Group 3 - Data from the recent May Day holiday indicates a strong recovery in the domestic consumption market, particularly in tourism, transportation, and entertainment sectors [2] - Indicators such as subway passenger volume and international flight operations show a significant increase in travel activity, driven by both domestic consumers and a rise in foreign tourist orders [2] - The real estate market, especially the second-hand housing sector, is also showing signs of recovery, suggesting growing consumer confidence in large-ticket items [2]

证券时报·数据宝统计，截至上午收盘，今日沪指跌0.08%，A股成交量624.22亿股，成交金额7282.14亿 元，比上一个交易日增加11.32%。个股方面，3883只个股上涨，其中涨停72只，1340只个股下跌，其 中跌停33只。从申万行业来看，计算机、美容护理、传媒等涨幅最大，涨幅分别为2.38%、2.00%、 1.55%；银行、钢铁、公用事业等跌幅最大，跌幅分别为2.76%、0.65%、0.48%。（数据宝） 今日各行业表现（截至上午收盘） | 申万行业 | 行业涨跌（%） | 成交额（亿元） | 比上日（%） | 领涨（跌）股 | 涨跌幅（%） | | --- | --- | --- | --- | --- | --- | | 计算机 | 2.38 | 852.58 | 35.16 | 创意信息 | 19.93 | | 美容护理 | 2.00 | 51.80 | 11.82 | 豪悦护理 | 8.77 | | 传媒 | 1.55 | 220.77 | 13.70 | 浙文互联 | 10.01 | | 电子 | 1.46 | 911.91 | 28.69 | 光大同创 | 17.45 | | 汽车 | ...

4月29日，港股市场低开高走，新能源车、社交、短视频、餐饮连锁、传媒等大消费方向弹性居前。港 股消费指数成分股中，零跑汽车涨超7%，美团-W、理想汽车-W涨超3%，中升控股、百胜中国、哔哩 哔哩-W、吉利汽车、阅文集团。港股消费ETF（159735）当前折价0.67%买入性价比凸显。 相关产品：港股消费ETF（159735）。 消息面上，有调研报告显示，中国消费品和零售行业正迎来消费结构升级带来的深刻变革。从居民消费 结构看，服务性消费占比上升，交通、教育等领域需求增长显著。同时，人口老龄化和家庭小型化推动 消费偏好转向情绪价值和质价比，健康与数字消费理念逐渐渗透各年龄段。从消费者需求趋势看，情绪 价值、质价比及可持续消费成为核心诉求。 （文章来源：每日经济新闻） 港股消费ETF（159735）跟踪港股消费指数，是"更新的消费"，相较A股消费以白酒高端消费为主，港 股消费板块中电商、餐饮、旅游、文娱传媒、国潮服装等新型消费比例更高，服务消费和大众消费占比 也更高，或更能充分反映本轮大力提振消费政策驱动下的消费景气复苏。 平安证券表示，近期的政治局会议强调了"支持科技创新、扩大消费、稳定外贸"等方向，明确提出 ...