智能汽车ETF
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ETF开盘:智能驾驶ETF涨2.98% 标普油气ETF跌1.55%
Xin Lang Cai Jing· 2025-12-16 03:44
来源:上海证券报·中国证券网 上证报中国证券网讯 12月16日,ETF开盘涨跌不一,智能驾驶ETF(516520)领涨2.98%,科创成长 ETF南方(589700)涨2.24%,智能汽车ETF(515250)涨2.21%,标普油气ETF(513350)领跌 1.55%,标普油气ETF(159518)跌1.52%,科创板成长ETF(588070)跌1.34%。 上证报中国证券网讯 12月16日,ETF开盘涨跌不一,智能驾驶ETF(516520)领涨2.98%,科创成长 ETF南方(589700)涨2.24%,智能汽车ETF(515250)涨2.21%,标普油气ETF(513350)领跌 1.55%,标普油气ETF(159518)跌1.52%,科创板成长ETF(588070)跌1.34%。 来源:上海证券报·中国证券网 ...
首批L3级自动驾驶车型获准入许可,智能汽车ETF基金、智能汽车ETF、智能驾驶ETF、智能车ETF上涨
Ge Long Hui A P P· 2025-12-16 02:04
智能车ETF跟踪CS智汽车,覆盖汽车电子、软件服务等领域,聚焦于智能汽车产业的核心环节,权重股包括立讯 精密、芯原股份、科大讯飞、拓普集团、豪威集团、闻泰科技(维权)、欧菲光、德赛西威、华域汽车、北京君 正等行业龙头。 消息面上,工业和信息化部许可两款L3级自动驾驶车型产品,下一步将在重庆和北京部分区域开展上路通行试 点。 A股低开,智能驾驶概念大面积高开。 根据工信部网站2025年12月15日消息,工业和信息化部许可了两款L3级自动驾驶车型产品,两款产品分别属于 长安品牌和极狐品牌,下一步,两款产品将分别在重庆和北京的部分区域和道路开展上路通行试点。推荐标的: 中国汽研、耐世特、小鹏汽车、长安汽车。 万集科技20cm涨停,浙江世宝、索菱股份涨停,豪恩汽电涨超9%,智能汽车ETF基金、智能汽车ETF、智能驾 驶ETF、智能车ETF上涨,年内涨幅超15%。 | 代码 | 名称 | 涨跌幅 | 年初至今 估算规模 管理公司 | | | | --- | --- | --- | --- | --- | --- | | 159795 | 智能汽车ETF基金 | 0.59% | 16.23% 3607.33万 汇添富基金 ...
ETF午评 | 电网设备板块拉升,电网设备ETF涨3%
Ge Long Hui· 2025-12-12 15:16
锂电池板块走低,电池ETF景顺、新能源车龙头ETF和新能源汽车ETF均跌1%。稀有金属板块走 弱,稀有金属ETF跌1%。化工股表现萎靡,化工ETF跌0.76%。 A股低开高走,截至午盘,上证指数跌0.04%,深证成指涨0.57%,创业板指涨0.6%,北证50涨 1.12%。全市场成交额1.26万亿元,较上日成交额放量912亿元。 板块题材上, 电网设备、贵金属板块 活跃,商业航天概念股反复活跃,核聚变、CPO、特高压、超导、充电桩、光刻机概念股涨幅居前。锂 电电解液、两岸融合、银行板块走弱。 ETF方面,特高压、智能电网板块快速拉升,华夏基金电网设备ETF、国泰基金电网ETF和广发基 金电网ETF分别涨3.07%、2.64%和2.63%。隔夜道指收涨,鹏华基金道琼斯ETF涨2.68%。黄金股连续第 二日上涨,平安基金黄金股票ETF基金、华夏基金黄金股ETF分别涨2.16%和1.89%。智能驾驶板块表现 活跃,富国基金智能汽车ETF、汇添富基金智能汽车ETF基金分别涨1.93%和1.83%。 (责任编辑:王治强 HF013) 【免责声明】本文仅代表作者本人观点,与和讯网无关。和讯网站对文中陈述、观点判断保持中立 ...
中银基金官宣新任董事长;首批科创创业人工智能ETF陆续上市
Sou Hu Cai Jing· 2025-12-12 07:13
天赐良基日报第787期 一、今日基金新闻速览 1、中银基金官宣新任董事长 12月11日,中银基金发布公告,自12月10日起,刘信群担任中银基金董事长、法定代表人,执行总裁张家文不再代为履行董事长、法定代表人职责。 2、首批科创创业人工智能ETF陆续上市 12月11日,全市场首只跟踪中证科创创业人工智能指数的ETF正式上市。同日,易方达基金、华泰柏瑞基金陆续发布公告,宣布旗下同类ETF基金合同生 效。此外,景顺长城基金旗下的相关产品则定于12月12日上市。 3、沪市ETF规模突破4.1万亿元 Wind数据显示,截至11月末,沪市ETF总体规模达4.1万亿元,较年初规模增长1.35万亿元,增长率达50%。其中,沪市百亿级ETF新增36只。 二、知名基金经理最新动态 1、朱少醒减仓星宇股份 星宇股份最新披露的前十大流通股东名单显示,朱少醒管理的富国天惠精选成长混合基金现身,截至12月10日,持股数量为200万股,比三季度末减少100万 股。 | 代码 | 名称 | 相关链接 | 最新价 | 涨跌额 | 涨跌幅1 | | --- | --- | --- | --- | --- | --- | | 159981 | 能 ...
智能汽车ETF:11月24日融资净买入40.66万元,连续3日累计净买入174.53万元
Sou Hu Cai Jing· 2025-11-25 02:43
证券之星消息,11月24日,智能汽车ETF(515250)融资买入173.31万元,融资偿还132.65万元,融资 净买入40.66万元,融资余额1368.35万元,近3个交易日已连续净买入累计174.53万元。 | 交易日 | 融资净买入 (元) 融资余额 (元) | | 占流通市值比 | | --- | --- | --- | --- | | 2025-11-24 | 40.66万 | 1368.35万 | | | 2025-11-21 | 117.05万 | 1327.69万 | | | 2025-11-20 | 16.82万 | 1210.64万 | | | 2025-11-19 | 88.10万 | 1193.82万 | | | 2025-11-18 | -56.43万 | 1105.71万 | | 融券方面,当日无融券交易。 融资融券余额1435.83万元,较昨日上涨2.97%。 | 交易日 | 两融余额(元) | 余额变动(元) | 变动幅度 | | --- | --- | --- | --- | | 2025-11-24 | 1435.83万 | 41.42万 | 2.97% | | 2025 ...
智能汽车ETF:10月28日融资净买入444.13万元,连续3日累计净买入553.4万元
Sou Hu Cai Jing· 2025-10-29 02:20
Group 1 - The core point of the news is the significant increase in net financing purchases for the Intelligent Automotive ETF (515250), which reached 444.13 million yuan on October 28, 2025, following a trend of continuous net buying over the past three trading days totaling 553.4 million yuan [1][2]. - The financing balance for the Intelligent Automotive ETF on October 28, 2025, was reported at 1,577.34 million yuan, indicating a growing interest from investors [1][2]. - The overall margin trading balance (financing and securities lending) increased to 1,652.38 million yuan, reflecting a rise of 36.71% compared to the previous day [3]. Group 2 - The net financing purchases for the previous trading days were as follows: 54.78 million yuan on October 27, 2025, and 54.49 million yuan on October 24, 2025, showing a consistent upward trend [2]. - On October 23, 2025, there was a net financing outflow of 115.65 million yuan, which was a decline compared to the previous days [2]. - The margin trading balance had fluctuated in the days leading up to October 28, with a notable increase from 1,208.69 million yuan on October 27, 2025, to 1,652.38 million yuan on October 28, 2025 [3].
锂电池板块快速反弹,锂电池ETF(561160)盘中涨幅达4.07%
Mei Ri Jing Ji Xin Wen· 2025-10-20 02:55
Group 1 - The lithium battery sector continues to perform well, with solid-state batteries, sodium-ion batteries, and lithium mining concepts being particularly active. As of the report, the lithium battery ETF (561160) has risen by 4.07%, while the Hong Kong Stock Connect automotive ETF (159239) has increased by 2.95%, and the smart vehicle ETF (515250) has gained 2.40% [1] - Notable stocks within the lithium battery ETF include Zhuhai Guanyu, which has surged over 19%, and Sanhua Intelligent Control, which has increased by over 8%. Other stocks such as Sungrow Power Supply and Joyson Electronics have also seen gains exceeding 5% [1] - The National Development and Reform Commission, along with five other departments, has issued a "Three-Year Doubling Action Plan for Electric Vehicle Charging Facility Service Capacity (2025-2027)", aiming to establish 28 million charging facilities nationwide by the end of 2027, providing over 300 million kilowatts of public charging capacity to meet the charging needs of over 80 million electric vehicles [1] Group 2 - The action plan is expected to significantly accelerate the construction of charging stations, potentially providing performance growth for companies within the charging station industry chain and speeding up the electrification of automobiles in China [1] - The lithium battery ETF (561160) closely tracks the CSI Battery Theme Index (931719), which selects 50 constituent stocks from the Shanghai and Shenzhen markets, covering power batteries, energy storage batteries, consumer electronics batteries, and related upstream and downstream listed companies [1] - Investors can also explore opportunities through the lithium battery ETF linked funds (Class A 017222, Class C 017223) [1]
行业轮动ETF策略周报-20251013
金融街证券· 2025-10-13 11:17
Core Insights - The report emphasizes a strategy based on sector rotation and thematic ETFs, recommending increased allocations to semiconductor, consumer electronics, and battery sectors for the upcoming week [2][3]. - The strategy has yielded a cumulative net return of approximately 1.52% from September 29 to October 9, 2025, with an excess return of about 0.06% compared to the CSI 300 ETF [3]. Strategy Update - The model recommends adding positions in the Sci-Tech Chip ETF, Consumer Electronics ETF, Sci-Tech New Materials ETF, and Smart Car ETF, while continuing to hold the Satellite ETF [2]. - The report highlights the trading timing signals for various ETFs and indices, indicating daily or weekly risk assessments [2]. Performance Tracking - Since October 14, 2024, the strategy has achieved a cumulative return of approximately 26.66%, outperforming the CSI 300 ETF by about 5.05% [3]. - The report includes a performance comparison chart showing the cumulative return rates of the sector rotation ETF strategy against the CSI 300 ETF [5][6]. Recommended ETFs and Holdings - The report lists specific ETFs and their respective weights, such as the Sci-Tech Chip ETF with a weight of 96.34% and the Consumer Electronics ETF with a weight of 31.89% [13]. - It also details the recent performance of various ETFs, indicating which have been added or removed from the portfolio based on their performance over the past week [14].
行业配置报告(2025年10月):行业配置策略与ETF组合构建
Southwest Securities· 2025-10-09 08:32
Core Insights - The report presents two industry rotation models: one based on similar expected return differentials and another based on changes in analyst expectations, both aimed at identifying investment opportunities in various sectors [11][22]. Group 1: Similar Expected Return Differential Model - The latest configuration suggests focusing on sectors such as coal, communication, basic chemicals, automotive, real estate, and machinery [21]. - In September 2025, the model achieved a monthly return of +4.56%, outperforming the equal-weighted industry index by +3.66% [21]. - The historical backtest from December 2016 to September 2025 shows that the model has a mean Information Coefficient (IC) of 0.09, indicating strong selection ability [14][15]. Group 2: Analyst Expectation Change Model - The latest configuration highlights sectors including non-bank financials, non-ferrous metals, agriculture, communication, steel, and computers [33]. - In September 2025, the model recorded a monthly return of +1.03%, with an excess return of +0.13% over the equal-weighted industry index [33]. - The historical backtest from December 2016 to September 2025 indicates a mean IC of 0.06, demonstrating significant industry selection capability [23][24]. Group 3: ETF Portfolio Construction - The recommended ETF portfolio for October 2025 includes sectors such as non-bank financials, non-ferrous metals, communication, basic chemicals, and automotive [35]. - Specific ETFs listed include the Huabao CSI All-Share Securities Company ETF and the Southern CSI Non-Ferrous Metals ETF, among others, with significant fund shares [35].
专业选手实战大赛丨哪些ETF备受“牛人”青睐?9月16日十大买入ETF榜、十大买入金额ETF榜出炉
Xin Lang Zheng Quan· 2025-09-16 08:17
Group 1 - The "Second Golden Unicorn Best Investment Advisor Selection" event is currently ongoing, with over 3,000 professional investment advisors participating in simulated trading competitions [1] - The event aims to provide a platform for investment advisors to showcase their capabilities, expand services, and enhance skills, thereby promoting the healthy development of China's wealth management industry [1] Group 2 - The top ten most frequently bought ETFs on September 16 include the Robot ETF, Tourism ETF, and Hong Kong Securities ETF, indicating strong interest in sectors like robotics and tourism [2] - The top ten ETFs by purchase amount on the same day also feature the Robot ETF and the Korean Semiconductor ETF, highlighting significant investment in technology and robotics [3] Group 3 - The data for the top bought stocks/ETFs is based on the frequency of purchases by all participating advisors, while the purchase amount data reflects the total investment amounts [4] - The competition includes categories for stock simulation, on-site ETF simulation, and public fund simulation, with specific trading rules regarding holding proportions, maximum drawdown, and rebalancing frequency [4]