Quantitative Models and Construction Methods 1. Model Name: Large Order Transaction Amount Ratio - **Model Construction Idea**: This model tracks the buying behavior of large funds by calculating the proportion of large order transaction amounts to the total daily transaction amount[7] - **Model Construction Process**: 1. Use tick-by-tick transaction data to identify buy and sell orders based on bid and ask sequence numbers 2. Filter transactions by order size to identify large orders 3. Calculate the ratio of large buy order transaction amounts to the total daily transaction amount - Formula: $ \text{Large Order Transaction Amount Ratio} = \frac{\text{Large Buy Order Transaction Amount}}{\text{Total Daily Transaction Amount}} $ - **Model Evaluation**: This indicator effectively captures the buying behavior of large funds[7] 2. Model Name: Net Active Buy Amount Ratio - **Model Construction Idea**: This model measures the active buying behavior of investors by calculating the net active buy amount as a proportion of the total daily transaction amount[7] - **Model 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 flag 2. Calculate the net active buy amount by subtracting the active sell amount from the active buy amount 3. Compute the ratio of the net active buy amount to the total daily transaction amount - Formula: $ \text{Net Active Buy Amount Ratio} = \frac{\text{Active Buy Amount} - \text{Active Sell Amount}}{\text{Total Daily Transaction Amount}} $ - **Model Evaluation**: This indicator effectively captures the active buying behavior of investors[7] --- Model Backtesting Results 1. Large Order Transaction Amount Ratio - **Top 10 Stocks by 5-Day Average**: - **East Securities (601198.SH)**: 88.1%, 99.6% time-series percentile[9] - **Shanghai Kaibao (300039.SZ)**: 86.3%, 100.0% time-series percentile[9] - **Sanxiang Impression (000863.SZ)**: 86.0%, 99.6% time-series percentile[9] - **Chongqing Steel (601005.SH)**: 86.0%, 78.7% time-series percentile[9] - **Jinzhengda (002470.SZ)**: 85.7%, 89.8% time-series percentile[9] - **Wanlong Optoelectronics (300710.SZ)**: 85.6%, 99.6% time-series percentile[9] - **Yasheng Group (600108.SH)**: 85.5%, 84.4% time-series percentile[9] - **Sinochem International (600500.SH)**: 85.5%, 90.4% time-series percentile[9] - **Chongqing Water (601158.SH)**: 85.2%, 96.7% time-series percentile[9] 2. Net Active Buy Amount Ratio - **Top 10 Stocks by 5-Day Average**: - **Jiuhua Tourism (603199.SH)**: 26.2%, 100.0% time-series percentile[10] - **Bailong Oriental (601339.SH)**: 22.9%, 100.0% time-series percentile[10] - **Zijin Bank (601860.SH)**: 20.2%, 100.0% time-series percentile[10] - **Bailong Chuangyuan (605016.SH)**: 19.5%, 100.0% time-series percentile[10] - **Hengshun Vinegar (600305.SH)**: 17.8%, 100.0% time-series percentile[10] - **Qingfangcheng (600790.SH)**: 17.7%, 99.6% time-series percentile[10] - **Shandong Steel (600022.SH)**: 17.7%, 99.6% time-series percentile[10] - **Shengda Forestry (002259.SZ)**: 17.5%, 100.0% time-series percentile[10] - **Taoli Bread (603866.SH)**: 17.2%, 100.0% time-series percentile[10] - **Jiangsu Sopo (600746.SH)**: 16.8%, 100.0% time-series percentile[10] 3. Broad-Based Indices - **5-Day Average Results**: - **Shanghai Composite Index**: Large Order Ratio 73.7% (82.0% percentile), Net Active Buy Ratio 2.2% (3.7% percentile)[12] - **SSE 50**: Large Order Ratio 71.7% (58.2% percentile), Net Active Buy Ratio 5.8% (92.6% percentile)[12] - **CSI 300**: Large Order Ratio 73.0% (41.0% percentile), Net Active Buy Ratio 2.9% (20.9% percentile)[12] - **CSI 500**: Large Order Ratio 73.8% (86.9% percentile), Net Active Buy Ratio 1.5% (3.3% percentile)[12] - **ChiNext Index**: Large Order Ratio 70.5% (6.1% percentile), Net Active Buy Ratio 0.1% (14.8% percentile)[12] 4. Industry-Level Analysis - **Top Industries by 5-Day Average**: - **Steel**: Large Order Ratio 79.0% (79.1% percentile), Net Active Buy Ratio 12.7% (0.8% percentile)[13] - **Agriculture, Forestry, Animal Husbandry, and Fishery**: Large Order Ratio 77.1% (87.7% percentile), Net Active Buy Ratio 10.8% (3.3% percentile)[13] - **Food and Beverage**: Large Order Ratio 71.5% (95.5% percentile), Net Active Buy Ratio 10.1% (32.8% percentile)[13] - **Real Estate**: Large Order Ratio 78.7% (70.9% percentile), Net Active Buy Ratio 8.8% (9.8% percentile)[13] - **Consumer Services**: Large Order Ratio 75.8% (32.4% percentile), Net Active Buy Ratio 8.9% (13.9% percentile)[13] 5. ETF Analysis - **Top 10 ETFs by Large Order Ratio**: - **Haifutong Shanghai Urban Investment Bond ETF (511220.SH)**: 93.4%, 63.5% percentile[15] - **Fortune Military Industry ETF (512710.SH)**: 92.1%, 100.0% percentile[15] - **Guotai CSI A500 ETF (159338.SZ)**: 91.5%, 19.7% percentile[15] - **Guotai 10-Year Treasury ETF (511260.SH)**: 91.5%, 91.8% percentile[15] - **Penghua National Defense ETF (512670.SH)**: 90.7%, 99.6% percentile[15] - **Top 10 ETFs by Net Active Buy Ratio**: - **Huaxia Food and Beverage ETF (515170.SH)**: 18.2%, 99.6% percentile[16] - **Yinhua 5G Communication ETF (159994.SZ)**: 16.7%, 100.0% percentile[16] - **E Fund CSI 300 Non-Bank ETF (512070.SH)**: 16.0%, 95.9% percentile[16] - **Huatai-PineBridge Dividend Low Volatility ETF (512890.SH)**: 15.7%, 94.3% percentile[16] - **Fortune Agriculture ETF (159825.SZ)**: 15.2%, 96.7% percentile[16]

Group 1 - The State Council emphasizes the need for all departments to align their actions with the central government's economic work requirements for the upcoming year, enhancing responsibility and urgency in implementing tasks [1] - The Ministry of Commerce highlights the importance of high-quality business development and international trade coordination, aiming to boost domestic and international economic cycles [2] - Researchers at Shanghai Jiao Tong University have achieved a breakthrough in all-optical computing chips, which could significantly enhance computational efficiency for AI and large-scale data processing [3] Group 2 - The National Internet Information Office and the China Securities Regulatory Commission have taken action against 17 accounts spreading rumors and illegal stock recommendations, emphasizing the need for accurate financial information dissemination [4] - Fujian Province has introduced a comprehensive financial support plan for technology innovation, aiming for a 10% annual growth in loans to technology-related industries by 2025-2027 [5] - The world's first commercial supercritical carbon dioxide power generation unit has successfully commenced operations, marking a significant advancement in energy technology [6] Group 3 - Moore Threads has launched a new GPU architecture, "Huagang," which boasts a 50% increase in computing density and a tenfold improvement in energy efficiency [7][8] - The first L3-level autonomous driving license has been issued to Changan Automobile, marking a significant milestone in the development of autonomous driving technology [9] - Nine U.S. pharmaceutical companies have reached agreements with the government to lower drug prices, indicating a shift towards more affordable healthcare solutions [10] Group 4 - The market has shown signs of recovery with a three-day rebound, although caution is advised as the overall trend has not yet confirmed a sustained upward movement [11] - Samsung has unveiled the world's first 2nm smartphone chip, which is expected to enhance performance significantly, indicating advancements in semiconductor technology [12]

数据显示，南方基金旗下1只基金位居三湘印象十大流通股东。南方中证房地产ETF发起联接A （004642）三季度减持8.78万股，持有股数895.11万股，占流通股的比例为0.77%。根据测算，今日浮 亏损失约295.39万元。 南方中证房地产ETF发起联接A（004642）成立日期2017年8月24日，最新规模2.02亿。今年以来收益 0.2%，同类排名4074/4197；近一年亏损5.93%，同类排名4106/4152；成立以来亏损44.16%。 12月22日，三湘印象跌5.82%，截至发稿，报5.34元/股，成交5.55亿元，换手率8.43%，总市值63.05亿 元。 资料显示，三湘印象股份有限公司位于上海市杨浦区逸仙路333号，成立日期1994年1月20日，上市日期 1997年9月25日，公司主营业务涉及房地产开发与经营;旅游文化演艺类业务。主营业务收入构成为：房 地产销售78.68%，文化演艺10.16%，房屋租赁5.58%，其他4.68%，建筑施工0.91%。 从三湘印象十大流通股东角度 截至发稿，罗文杰累计任职时间12年248天，现任基金资产总规模1702.51亿元，任职期间最佳基金回报 146. ...

登录新浪财经APP 搜索【信披】查看更多考评等级 本公司及董事会全体成员保证信息披露内容的真实、准确和完整，没有虚假记载、误导性陈述或重大遗 漏。 一、股票交易异常波动的情况介绍 三湘印象股份有限公司（以下简称"公司"）股票（证券简称：三湘印象，证券代码：000863）交易价格 于2025年12月18日（星期四）、2025年12月19日（星期五）连续两个交易日收盘价格涨幅偏离值累计超 过20%，根据《深圳证券交易所交易规则》等有关规定，属于股票交易异常波动。 二、说明关注、核实情况 针对公司股票交易异常波动，公司依照规定开展了自查，并向公司控股股东和实际控制人函询。有关情 况如下： 1、公司经自查，未发现存在违反信息公平披露的情形。 1、公司前期披露的信息不存在需要更正、补充之处； 2、公司目前的经营情况正常，近期公司经营情况及内外部经营环境未发生重大变化； 3、除已披露的公告外，公司未发现近期公共传媒报道了可能或已经对公司股票交易价格产生较大影响 的未公开重大信息； 4、公司、控股股东和实际控制人不存在关于公司的应披露而未披露的重大事项，也不存在处于筹划阶 段的重大事项； 5、公司控股股东、实际控制人在公司 ...

1、公司前期披露的信息不存在需要更正、补充之处； 登录新浪财经APP 搜索【信披】查看更多考评等级 证券代码：000863 证券简称：三湘印象 公告编号：2025-048 三湘印象股份有限公司股票交易异常波动公告 本公司及董事会全体成员保证信息披露内容的真实、准确和完整，没有虚假记载、误导性陈述或重大遗 漏。 一、股票交易异常波动的情况介绍 三湘印象股份有限公司（以下简称"公司"）股票（证券简称：三湘印象，证券代码：000863）交易价格 于2025年12月18日（星期四）、2025年12月19日（星期五）连续两个交易日收盘价格涨幅偏离值累计超 过20%，根据《深圳证券交易所交易规则》等有关规定，属于股票交易异常波动。 二、说明关注、核实情况 针对公司股票交易异常波动，公司依照规定开展了自查，并向公司控股股东和实际控制人函询。有关情 况如下： 四、风险提示 1、公司经自查，未发现存在违反信息公平披露的情形。 2、公司郑重提醒广大投资者：《中国证券报》《证券时报》《上海证券报》《证券日报》和巨潮资讯 网（www.cninfo.com.cn）为公司选定的信息披露媒体，公司所有信息均以在上述媒体刊登的信息为 准，敬 ...

（文章来源：证券日报） 证券日报网讯 12月21日晚间，三湘印象发布公告称，公司股票交易价格于2025年12月18日、12月19日 连续两个交易日收盘价格涨幅偏离值累计超过20%，属于股票交易异常波动。公司自查及向控股股东、 实际控制人函询后确认，前期披露信息无需更正补充，经营情况正常，未发现应披露未披露重大事项， 控股股东及实际控制人在异常波动期间未买卖公司股票。 ...

人民财讯12月21日电，二连板三湘印象（000863）12月21日披露股票交易异常波动公告称，公司目前的 经营情况正常，近期公司经营情况及内外部经营环境未发生重大变化；公司、控股股东和实控人不存在 关于公司的应披露而未披露的重大事项，也不存在处于筹划阶段的重大事项。 ...

三湘印象12月21日发布公告，股票连续两个交易日收盘价格涨幅偏离值累计超过20%，根据《深圳证券 交易所交易规则》等有关规定，属于股票交易异常波动情形。经核实，公司目前的经营情况正常，近期 公司经营情况及内外部经营环境未发生重大变化。公司、控股股东和实际控制人不存在关于公司的应披 露而未披露的重大事项，也不存在处于筹划阶段的重大事项。公司控股股东、实际控制人在公司股票交 易异常波动期间未买卖本公司股票。公司不存在违反公平信息披露的情形。 ...

南财智讯12月21日电，三湘印象公告，公司股票交易价格于2025年12月18日、2025年12月19日连续两个 交易日收盘价格涨幅偏离值累计超过20%，属于股票交易异常波动。经自查及向控股股东和实际控制人 核实，公司前期披露的信息不存在需要更正或补充之处；经营情况正常，内外部经营环境未发生重大变 化；除已披露信息外，无其他可能对公司股价产生较大影响的未公开重大信息；公司、控股股东及实际 控制人不存在应披露而未披露的重大事项，亦无筹划中的重大事项；在股票异常波动期间，控股股东及 实际控制人未买卖公司股票；公司不存在违反公平信息披露的情形。 ...

4、公司、控股股东和实际控制人不存在关于公司的应披露而未披露的重大事 项，也不存在处于筹划阶段的重大事项； 证券代码：000863 证券简称：三湘印象 公告编号：2025-048 三湘印象股份有限公司 股票交易异常波动公告 本公司及董事会全体成员保证信息披露内容的真实、准确和完整，没有虚假记 载、误导性陈述或重大遗漏。 一、股票交易异常波动的情况介绍 三湘印象股份有限公司（以下简称"公司"）股票（证券简称：三湘印象，证 券代码：000863）交易价格于 2025 年 12 月 18 日（星期四）、2025 年 12 月 19 日 （星期五）连续两个交易日收盘价格涨幅偏离值累计超过 20%，根据《深圳证券交 易所交易规则》等有关规定，属于股票交易异常波动。 二、说明关注、核实情况 针对公司股票交易异常波动，公司依照规定开展了自查，并向公司控股股东和 实际控制人函询。有关情况如下： 1、公司前期披露的信息不存在需要更正、补充之处； 2、公司目前的经营情况正常，近期公司经营情况及内外部经营环境未发生重 大变化； 3、除已披露的公告外，公司未发现近期公共传媒报道了可能或已经对公司股 票交易价格产生较大影响的未公开重大 ...