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重庆钢铁(601005) - 北京市中伦(重庆)律师事务所关于重庆钢铁股份有限公司2025年第一次临时股东大会的法律意见书
2025-09-16 09:45
北京市中伦(重庆)律师事务所 关于重庆钢铁股份有限公司 2025 年第一次临时股东大会的 法律意见书 二〇二五年九月 北京市中伦(重庆)律师事务所 关于重庆钢铁股份有限公司 2025 年第一次临时股东大会的 本所律师根据现行有效的中国法律、法规及规范性文件的要求,按照中国律 师行业公认的业务标准、道德规范和勤勉尽责精神,对贵公司提供的本次股东大 会相关文件和有关事实进行了核查和验证,现就本次股东大会出具的法律意见如 下: 法律意见书 致:重庆钢铁股份有限公司 北京市中伦(重庆)律师事务所(以下简称"本所")受重庆钢铁股份有限 公司(以下简称"贵公司")委托,指派律师出席贵公司 2025 年第一次临时股东 大会(以下简称"本次股东大会"),并就贵公司本次股东大会的召集和召开程序、 召集人资格、出席会议人员资格、本次股东大会的表决程序、表决结果等相关问 题出具本法律意见书。 本法律意见书根据已发生或存在的事实,根据《中华人民共和国公司法》(以 下简称"《公司法》")、《上市公司股东会规则》等法律、法规、规范性文件以及 《上海证券交易所上市公司自律监管指南第 2 号-业务办理:第四号-股东会网络 投票》(以下简称" ...
重庆钢铁(601005) - 2025年第一次临时股东大会决议公告
2025-09-16 09:30
证券代码:601005 证券简称:重庆钢铁 公告编号:2025-034 重庆钢铁股份有限公司 2025年第一次临时股东大会决议公告 本次会议是否有否决议案:无 一、 会议召开和出席情况 (一)股东大会召开的时间:2025 年 9 月 16 日 (二)股东大会召开的地点:重庆钢铁股份有限公司会议中心 (三)出席会议的普通股股东和恢复表决权的优先股股东及其持有股份情况: | 1、出席会议的股东和代理人人数 | 1,516 | | --- | --- | | 其中:A 股股东人数 | 1,515 | | 境外上市外资股股东人数(H 股) | 1 | | 2、出席会议的股东所持有表决权的股份总数(股) | 901,101,310 | | 其中:A 股股东持有股份总数 | 900,015,985 | | 境外上市外资股股东持有股份总数(H 股) | 1,085,325 | | 3、出席会议的股东所持有表决权股份数占公司有表决权股 | | | 份总数的比例(%) | 10.2518 | | 其中:A | 股股东持股占股份总数的比例(%) | 10.2394 | | --- | --- | --- | | | 境外上市外资 ...
重庆钢铁(601005) - 2025年第一次临时股东会决议
2025-09-16 09:30
北京市中伦(重庆)律师事务所 关于重庆钢铁股份有限公司 2025 年第一次临时股东大会的 法律意见书 二〇二五年九月 北京市中伦(重庆)律师事务所 关于重庆钢铁股份有限公司 2025 年第一次临时股东大会的 法律意见书 致:重庆钢铁股份有限公司 北京市中伦(重庆)律师事务所(以下简称"本所")受重庆钢铁股份有限 公司(以下简称"贵公司")委托,指派律师出席贵公司 2025 年第一次临时股东 大会(以下简称"本次股东大会"),并就贵公司本次股东大会的召集和召开程序、 召集人资格、出席会议人员资格、本次股东大会的表决程序、表决结果等相关问 题出具本法律意见书。 本法律意见书根据已发生或存在的事实,根据《中华人民共和国公司法》(以 下简称"《公司法》")、《上市公司股东会规则》等法律、法规、规范性文件以及 《上海证券交易所上市公司自律监管指南第 2 号-业务办理:第四号-股东会网络 投票》(以下简称"《2 号指南》")、《重庆钢铁股份有限公司章程》(以下简称"《公 司章程》")的相关规定出具。 本法律意见书仅供贵公司本次股东大会之目的使用,不得被其他任何人用于 其他任何目的。本所律师同意将法律意见书随贵公司本次股东 ...
普钢板块9月16日涨0.03%,凌钢股份领涨,主力资金净流出2.93亿元
Market Performance - On September 16, the steel sector rose by 0.03% compared to the previous trading day, with Linggang Co., Ltd. leading the gains [1] - The Shanghai Composite Index closed at 3861.87, up 0.04%, while the Shenzhen Component Index closed at 13063.97, up 0.45% [1] Individual Stock Performance - Linggang Co., Ltd. (600231) closed at 2.22, with a gain of 3.26% and a trading volume of 535,500 shares [1] - Shougang Co., Ltd. (000959) closed at 4.56, up 2.93%, with a trading volume of 1,214,500 shares [1] - Bayi Steel (600581) closed at 4.74, up 2.82%, with a trading volume of 1,132,200 shares [1] - Chongqing Steel (601005) closed at 1.58, up 2.60%, with a trading volume of 3,644,500 shares [1] - Shandong Steel (600022) closed at 1.60, up 2.56%, with a trading volume of 2,107,700 shares [1] Capital Flow Analysis - The steel sector experienced a net outflow of 293 million yuan from institutional investors, while retail investors saw a net inflow of 292 million yuan [2] - The main capital inflow and outflow for specific stocks included Shougang Co., Ltd. with a net inflow of 12.7 million yuan from main investors [3] - Huazhong Steel (000932) had a net inflow of 77.78 million yuan from main investors, while experiencing a net outflow of 40.31 million yuan from speculative investors [3]
大额买入与资金流向跟踪(20250908-20250912)
Quantitative Factors and Construction Methods - **Factor Name**: Large Buy Order Transaction Amount Ratio **Factor Construction Idea**: This factor captures the buying behavior of large funds by analyzing the proportion of large buy orders in the total transaction amount for a given day [7] **Factor Construction Process**: 1. Utilize tick-by-tick transaction data to reconstruct buy and sell order data based on the bid and ask sequence numbers [7] 2. Filter transactions based on order size to identify large orders [7] 3. Calculate the proportion of large buy order transaction amounts to the total transaction amount for the day [7] **Formula**: $ \text{Large Buy Order Transaction Amount Ratio} = \frac{\text{Large Buy Order Amount}}{\text{Total Transaction Amount}} $ **Factor Evaluation**: This factor effectively reflects the buying behavior of large funds [7] - **Factor Name**: Net Active Buy Transaction Amount Ratio **Factor Construction Idea**: This factor measures the active buying behavior of investors by analyzing the net active buy transaction amount as a proportion of the total transaction amount for a given day [7] **Factor Construction Process**: 1. Use tick-by-tick transaction data to classify each transaction as either active buy or active sell based on the buy/sell indicator [7] 2. Calculate the net active buy transaction amount by subtracting the active sell amount from the active buy amount [7] 3. Compute the proportion of the net active buy transaction amount to the total transaction amount for the day [7] **Formula**: $ \text{Net Active Buy Transaction Amount Ratio} = \frac{\text{Active Buy Amount} - \text{Active Sell Amount}}{\text{Total Transaction Amount}} $ **Factor Evaluation**: This factor provides insights into the active buying tendencies of investors [7] Factor Backtesting Results - **Large Buy Order Transaction Amount Ratio**: - Top 10 stocks with the highest 5-day average values: 1. Guofa Co., Ltd. (600538.SH): 86.5%, 97.9% time-series percentile [9] 2. Jilin Expressway (601518.SH): 86.3%, 82.3% time-series percentile [9] 3. Chongqing Iron & Steel (601005.SH): 85.8%, 83.1% time-series percentile [9] 4. Zijin Bank (601860.SH): 85.6%, 62.6% time-series percentile [9] 5. Jianyuan Trust (600816.SH): 85.5%, 90.5% time-series percentile [9] - **Net Active Buy Transaction Amount Ratio**: - Top 10 stocks with the highest 5-day average values: 1. Fangda Special Steel (600507.SH): 24.8%, 100.0% time-series percentile [10] 2. Liaogang Co., Ltd. (601880.SH): 18.3%, 95.1% time-series percentile [10] 3. Overseas Chinese Town A (000069.SZ): 17.6%, 99.6% time-series percentile [10] 4. Qixia Construction (600533.SH): 14.6%, 99.2% time-series percentile [10] 5. Wanwei High-Tech (600063.SH): 14.3%, 99.6% time-series percentile [10] Additional Results for Indices, Industries, and ETFs - **Indices**: - Large Buy Order Transaction Amount Ratio (5-day average): - Shanghai Composite Index: 74.2%, 25.1% time-series percentile [12] - CSI 300: 73.1%, 10.7% time-series percentile [12] - Net Active Buy Transaction Amount Ratio (5-day average): - Shanghai Composite Index: -4.3%, 95.5% time-series percentile [12] - CSI 300: -4.5%, 100.0% time-series percentile [12] - **Industries**: - Large Buy Order Transaction Amount Ratio (5-day average): - Steel: 80.6%, 46.9% time-series percentile [13] - Construction: 79.5%, 62.6% time-series percentile [13] - Net Active Buy Transaction Amount Ratio (5-day average): - Steel: 4.0%, 40.7% time-series percentile [13] - Construction: 2.4%, 70.8% time-series percentile [13] - **ETFs**: - Large Buy Order Transaction Amount Ratio (5-day average): - ChinaAMC SSE 50 ETF (510050.SH): 89.3%, 74.1% time-series percentile [15] - GF CSI All-Index IT ETF (159939.SZ): 89.2%, 54.3% time-series percentile [15] - Net Active Buy Transaction Amount Ratio (5-day average): - Huaan SSE STAR Chip ETF (588290.SH): 17.3%, 99.6% time-series percentile [16] - Harvest CSI Battery Theme ETF (562880.SH): 13.9%, 92.2% time-series percentile [16]
钢铁股多数走高 鞍钢股份涨超5% 重庆钢铁股份涨超4%
Zhi Tong Cai Jing· 2025-09-12 07:05
Group 1 - Steel stocks mostly rose, with Angang Steel (000898) up 5.63% to HKD 2.25, Chongqing Steel (601005) up 4.55% to HKD 1.38, and Maanshan Steel (00323) up 2.85% to HKD 2.53 [1] - According to Galaxy Securities, steel demand is transitioning from real estate to high-end manufacturing, indicating a potential continuous recovery in steel production as the domestic manufacturing sector upgrades [1] - The "anti-involution" policy is promoting supply-side reforms, which are expected to stabilize and recover corporate profits, while infrastructure demand is anticipated to be released in a concentrated manner, leading to an overall stabilization in future demand [1] Group 2 - As the manufacturing sector accelerates its transformation and upgrading, the marginal improvement in steel demand from high-end manufacturing industries is expected [1] - The development of downstream industries such as aerospace, automotive manufacturing, and the replacement of old home appliances is benefiting special steel consumption, indicating a favorable outlook for special steel enterprises to achieve stable growth [1]
港股异动 | 钢铁股多数走高 鞍钢股份(00347)涨超5% 重庆钢铁股份(01053)涨超4%
智通财经网· 2025-09-12 06:59
智通财经APP获悉,钢铁股多数走高,截至发稿,鞍钢股份(00347)涨5.63%,报2.25港元;重庆钢铁股 份(01053)涨4.55%,报1.38港元;马鞍山钢铁股份(00323)涨2.85%,报2.53港元。 消息面上,银河证券认为,目前钢铁需求从房地产向高端制造转型过程中,国内制造业有望不断转型升 级,钢厂有望继续复产,制造业对钢材需求存在刚性支撑。"反内卷"政策的影响下,供给侧改革不断推 进,企业利润有望企稳回升。基建需求有望集中释放,未来总需求有望企稳回升。随着制造业转型升级 进程加快,高端制造行业的钢铁需求有望边际改善。加之受益于下游航空航天、汽车制造、家电以旧换 新等产业不断发展,特钢消费前景较好,特钢企业有望稳定增长。 ...
低价股一览 28股股价不足2元
Core Insights - The average stock price in the A-share market is 13.56 yuan, with 28 stocks priced below 2 yuan, the lowest being *ST Gao Hong at 0.66 yuan [1] - Among the low-priced stocks, 13 are ST stocks, accounting for 46.43% of the total [1] - The Shanghai Composite Index closed at 3875.31 points as of September 11 [1] Low-Priced Stocks Overview - The lowest priced stock is *ST Gao Hong at 0.66 yuan, followed by *ST Su Wu at 0.97 yuan and Chongqing Steel at 1.45 yuan [1] - In terms of market performance, 14 of the low-priced stocks increased in value, with ST Lingnan rising by 4.38%, Guangtian Group by 1.59%, and Jiugang Hongxing by 1.20% [1] - Conversely, 7 stocks declined, with *ST Gao Hong dropping by 2.94%, *ST Su Wu by 2.02%, and *ST Yun Wang by 1.04% [1] Detailed Low-Priced Stocks Data - A table lists various low-priced stocks, including their latest closing prices, daily price changes, turnover rates, price-to-book ratios, and industries [2] - Notable stocks include *ST Jin Ke and *ST Tian Mao, both priced at 1.45 yuan, and ST Lingnan at 1.67 yuan with a daily increase of 4.38% [1][2] - The data indicates a mix of industries represented among low-priced stocks, including telecommunications, pharmaceuticals, steel, and real estate [1][2]
重庆钢铁大宗交易成交30.50万股 成交额45.75万元
注:本文系新闻报道,不构成投资建议,股市有风险,投资需谨慎。 两融数据显示,该股最新融资余额为2.01亿元,近5日减少571.09万元,降幅为2.77%。(数据宝) 9月10日重庆钢铁大宗交易一览 | 成交量 (万 | 成交金额 | 成交价 | 相对当日收盘 | 买方营业部 | 卖方营业部 | | --- | --- | --- | --- | --- | --- | | | (万元) | 格 | 折溢价(%) | | | | 股) | | (元) | | | | | 30.50 | 45.75 | 1.50 | 4.17 | 广发证券股份有限公司成 | 西南证券股份有限公司绵 | | | | | | 都东大路证券营业部 | 阳绵兴东路证券营业部 | 重庆钢铁9月10日大宗交易平台出现一笔成交,成交量30.50万股,成交金额45.75万元,大宗交易成交价 为1.50元,相对今日收盘价溢价4.17%。该笔交易的买方营业部为广发证券股份有限公司成都东大路证 券营业部,卖方营业部为西南证券股份有限公司绵阳绵兴东路证券营业部。 证券时报·数据宝统计显示,重庆钢铁今日收盘价为1.44元,下跌0.69%,日换手率为0.6 ...
重庆钢铁9月10日现1笔大宗交易 总成交金额45.75万元 溢价率为4.17%
Xin Lang Cai Jing· 2025-09-10 10:53
炒股就看金麒麟分析师研报,权威,专业,及时,全面,助您挖掘潜力主题机会! 9月10日,重庆钢铁收跌0.69%,收盘价为1.44元,发生1笔大宗交易,合计成交量30.5万股,成交金额 45.75万元。 第1笔成交价格为1.50元,成交30.50万股,成交金额45.75万元,溢价率为4.17%,买方营业部为广发证 券股份有限公司成都东大路证券营业部,卖方营业部为西南证券股份有限公司绵阳绵兴东路证券营业 部。 进一步统计,近3个月内该股累计发生1笔大宗交易,合计成交金额为45.75万元。该股近5个交易日累计 上涨0.70%,主力资金合计净流出1895.4万元。 责任编辑:小浪快报 ...