Quantitative Models and Construction Methods 1. Model Name: 250-Day New High Distance Model - **Model Construction Idea**: This model tracks the distance of stock prices or indices from their 250-day high to identify market trends and hotspots. It is based on the momentum and trend-following strategy, which has been validated by various studies[11][19]. - **Model Construction Process**: The 250-day new high distance is calculated as: $ 250 \text{-day new high distance} = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ Where: - $ Close_t $ is the latest closing price - $ ts\_max(Close, 250) $ is the maximum closing price over the past 250 trading days If the latest closing price reaches a new high, the distance is 0. If the price falls from the high, the distance is a positive value representing the degree of decline[11]. - **Model Evaluation**: The model effectively identifies stocks or indices with strong momentum and highlights market leaders, aligning with the principles of momentum investing[11][19]. 2. Model Name: Stable New High Stock Selection Model - **Model Construction Idea**: This model refines the momentum strategy by focusing on stocks with smooth price paths and consistent new highs, leveraging the "smooth momentum" effect[27]. - **Model Construction Process**: Stocks are selected based on the following criteria: - Analyst Attention: At least 5 buy or overweight ratings in the past 3 months - Relative Strength: Top 20% in 250-day price performance - Price Stability: - Price path smoothness: Ratio of price displacement to total price movement - Consistency of new highs: Average 250-day new high distance over the past 120 days - Trend Continuation: Average 250-day new high distance over the past 5 days The top 50 stocks meeting these criteria are selected[27][29]. - **Model Evaluation**: The model emphasizes stocks with stable momentum and consistent performance, which are less likely to experience sharp reversals, making it a robust enhancement to traditional momentum strategies[27][29]. --- Model Backtesting Results 1. 250-Day New High Distance Model - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 0.70% - Shenzhen Component Index: 0.00% - CSI 300: 1.84% - CSI 500: 0.00% - CSI 1000: 0.00% - CSI 2000: 0.00% - ChiNext Index: 1.15% - STAR 50 Index: 0.00%[12][13][34] 2. Stable New High Stock Selection Model - **Selected Stocks**: 50 stocks were identified, including Jiangbolong, Shengda Resources, and Yuanjie Technology. - **Sector Distribution**: - Cyclical Sector: 23 stocks, with the highest concentration in basic chemicals - Technology Sector: 18 stocks, with the highest concentration in electronics[30][35] --- Quantitative Factors and Construction Methods 1. Factor Name: 250-Day New High Distance - **Factor Construction Idea**: Measures the relative position of a stock's price to its 250-day high, capturing momentum and trend-following characteristics[11]. - **Factor Construction Process**: $ 250 \text{-day new high distance} = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ Where: - $ Close_t $ is the latest closing price - $ ts\_max(Close, 250) $ is the maximum closing price over the past 250 trading days[11]. - **Factor Evaluation**: The factor is widely recognized for its ability to identify stocks with strong momentum and potential for continued outperformance[11]. 2. Factor Name: Price Path Smoothness - **Factor Construction Idea**: Quantifies the stability of a stock's price movement, favoring stocks with smoother trajectories[27]. - **Factor Construction Process**: - Price path smoothness is calculated as the ratio of price displacement to the total price movement over a given period[27]. - **Factor Evaluation**: This factor enhances the momentum strategy by reducing exposure to volatile stocks, improving risk-adjusted returns[27]. 3. Factor Name: Consistency of New Highs - **Factor Construction Idea**: Measures the persistence of a stock's new high performance over time, emphasizing sustained momentum[27]. - **Factor Construction Process**: - Average 250-day new high distance over the past 120 days is used as a proxy for consistency[27]. - **Factor Evaluation**: This factor ensures that selected stocks exhibit reliable momentum, reducing the likelihood of short-term reversals[27]. --- Factor Backtesting Results 1. 250-Day New High Distance Factor - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 0.70% - Shenzhen Component Index: 0.00% - CSI 300: 1.84% - CSI 500: 0.00% - CSI 1000: 0.00% - CSI 2000: 0.00% - ChiNext Index: 1.15% - STAR 50 Index: 0.00%[12][13][34] 2. Price Path Smoothness Factor - **Selected Stocks**: 50 stocks were identified, including Jiangbolong, Shengda Resources, and Yuanjie Technology. - **Sector Distribution**: - Cyclical Sector: 23 stocks, with the highest concentration in basic chemicals - Technology Sector: 18 stocks, with the highest concentration in electronics[30][35] 3. Consistency of New Highs Factor - **Selected Stocks**: Same as the Price Path Smoothness Factor, as it is part of the composite selection criteria[30][35]

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近期，存储芯片龙头之一德明利（001309.SZ）发布2025年度业绩预告。 公告称，预计2025年，公司实现营业收入103亿元至113亿元，同比增长115.82%至136.77%；归属于上 市公司股东的净利润为6.50亿元至8.00亿元，比上年同期增长85.42%至128.21%。 不只是德明利，佰维存储（688525.SH）、澜起科技（688008.SH）等存储概念股也在此前接连业绩"预 喜"。二级市场看，Wind数据显示，存储器指数年内已涨近119%，开年至今仍持续上涨近24%。 随着存储芯片原厂下调产量，驱动全球存储市场"超级周期"的到来，业内认为，本轮由AI驱动的存储超 级大周期的持续性很强，供需缺口持续带动存储产品价格上涨，有望给模组厂商带来可观的获利情况。 在行业供需格局重构带来的景气周期中，国产存储厂商正迎来宝贵的发展窗口。自2025年起，多家厂商 已陆续定增扩产，通过新建产线、购置设备等方式积极扩产，全力抢占新一轮市场版图。 多家业绩超预期 根据德明利公告，营收方面，预计2025年实现营业收入103亿元至113亿元，同比增长115.82%至 136.77%。2025年第四季度营业收入36.4 ...

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354.57万元。该股近5个交易日累 计上涨16.15%，主力资金合计净流入3.01亿元。 责任编辑：小浪快报 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！ 1月22日，江波龙收涨4.38%，收盘价为361.81元，发生1笔大宗交易，合计成交量1万股，成交金额 354.57万元。 第1笔成交价格为354.57元，成交1.00万股，成交金额354.57万元，溢价率为-2.00%，买方营业部为中信 证券股份有限公司北京呼家楼证券营业部，卖方营业部为中国银河证券股份有限公司北京学院南路证券 营业部。 ...

Core Insights - The article discusses the challenges of managing excess inventory in the chip industry, highlighting the financial burden of storage and capital costs associated with unsold materials [1] - It promotes a service called "Chip Superman," which has served 22,000 users and offers rapid transaction completion for inventory clearance [2][10] - The article lists various semiconductor components available for sale at discounted prices, indicating a significant inventory of over 50 million chips valued at over 100 million [9] Group 1: Inventory Management - Excess inventory of 100,000 units incurs monthly storage and capital costs of at least 5,000, leading to a potential loss of 30,000 over six months [1] - The article emphasizes the need for effective promotion strategies for unsold materials to mitigate financial losses [1] Group 2: Sales and Services - "Chip Superman" has a large inventory with over 1,000 models and 100 brands, facilitating quick sales, often within half a day [2][10] - The service aims to assist those struggling to sell their inventory by providing a platform for better pricing and visibility [11] Group 3: Product Listings - A detailed list of available semiconductor components is provided, including brands like Micron, Xilinx, ON Semiconductor, and Samsung, with quantities ranging from thousands to hundreds of thousands [5][6] - The article also includes a section for requested components, indicating active demand in the market [7][8]

存储行业跟踪报告 TMT 及中小盘/电子 全球存储价格从 25H1 复苏上涨以来，25Q3-Q4 现货/合约价格加速上涨，近期 逐步发现 26Q1 各品类存储价格环比涨幅超预期，我们预计 2026 年全年全球存 储供给整体维持偏紧状态，AI 需求增长持续高于产能扩张速度，其他消费类存 储和利基型存储受到产能挤压和下游恐慌备货等因素，价格涨幅也远超常规水 平，我们认为今年国内存储产业链多环节都将受益于缺货涨价浪潮，核心建议 关注存储原厂+存储模组/芯片公司+存储封测/代工等环节。 ❑ AI 存储引发更多需求增量，多级存储体系优化补充急剧增多的 KV 缓存空间。 推荐（维持） 证券研究报告 | 行业点评报告 2026 年 01 月 21 日 26Q1 价格涨幅超市场预期，关注即将到来的密集财报催化 英伟达在CES 2026主题演讲上发布最新Inference Context Memory Storage Platform （推理上下文存储平台），利用 BlueField-4 DPU 构建在 Pod 级别 运行的专用上下文记忆层，在计算节点层面，KV 分层涵盖 GPU HBM、主机 内存、本地 SSD、ICMS 和 ...

深圳市江波龙电子股份有限公司 股东询价转让计划书 股东宁波龙熹一号自有资金投资合伙企业(有限合伙)、宁波龙乙自有资金 投资合伙企业(有限合伙)、宁波龙熹三号自有资金投资合伙企业(有限合伙)、 宁波龙舰自有资金投资合伙企业(有限合伙)、宁波龙熹五号自有资金投资合伙 企业(有限合伙)保证向本公司提供的信息内容真实、准确、完整,没有虚假记 载、误导性陈述或重大遗漏。 证券代码:301308 证券简称:江波龙 公告编号:2026-003 本公司及董事会全体成员保证公告内容与信息披露义务人提供的信息一致。 重要内容提示: 1月19日，公司披露定价结果，5家股东合计1257.44万股股份以212.09元/股的价格完成询价转让，对应总金额约26.67亿元；尽管该价格较1月20日341.99元 的收盘价折价36.92%，但仍获得59家机构踊跃报价，最终54家机构成功获配，全额认购转让股份。 本次转让的出让方分别为龙熹一号、龙熹二号、龙熹三号、龙舰管理及龙熹五号，对应位列第四、第五、第六、第八及第十大股东。据1月16日公司披露 的询价转让计划书，截至当日，这5家股东的持股比例分别为龙熹一号与龙熹二号各4.18%、龙熹三号3.9 ...

Investment Rating - The report does not explicitly state an investment rating for the industry Core Insights - The storage market is experiencing a gradual recovery, with manufacturing PMI in China rising to 50.2%, indicating expansion in the manufacturing sector [8][10] - The semiconductor industry is facing challenges due to geopolitical tensions and trade restrictions, impacting investor confidence [23] - AI and generative AI are driving significant demand for advanced semiconductor solutions, with expectations for growth in AI-related chip demand [23][25] - The report highlights a shift in production focus among major manufacturers towards high-end products like DDR5 and HBM due to declining prices in traditional DRAM products [36] Summary by Sections Macroeconomic Overview - China's manufacturing PMI increased by 1.1% to 50.2%, indicating a recovery in manufacturing activities [8][10] - The U.S. manufacturing PMI was reported at 50.9% in January, showing a positive trend since October [8][11] - Global economic expansion is expected to be supported by lower interest rates and growth-promoting policies, particularly in the U.S. [8] Upstream Market - Omdia forecasts a 6% increase in DRAM wafer production capacity for Samsung Electronics, with a target of 789 million wafers in 2025 [19] - SK Hynix plans to increase DRAM wafer input by 15%, with a focus on maximizing production at its facilities [19] - SEMI predicts a 6.6% annual increase in semiconductor capacity, reaching 33.6 million 8-inch wafers by 2025 [20] Company Dynamics - Samsung Electronics reported a sales figure of 30.1 trillion KRW for its semiconductor division in Q4 [29] - SK Hynix is set to begin mass production of HBM3E products in the first quarter of 2025 [34] - Micron plans to increase its HBM market share to 20% by 2025, with significant expansions in production capacity [34] Application Market - Intel's upcoming Panther Lake processors will support AI operations, expected to launch in 2025 [85] - AMD's Ryzen AI Max series processors, featuring advanced AI capabilities, are set to be released in the first quarter of 2025 [86] - Qualcomm's Snapdragon X series PC processors will support AI applications and are expected to launch in the first quarter [87] Domestic Spot Market - The domestic storage spot market remains stable, with prices showing a slight decline [44] - NAND inventory levels are nearing completion, with some manufacturers transitioning from sellers to buyers, providing price support [45] - DDR5 memory prices have seen a significant increase, with costs rising from $4.70 to $4.90-$5.00 [47]

上述出让方龙熹一号、龙熹二号、龙熹三号、龙舰管理、龙熹五号为江波龙首次公开发行时控股股东、实际控制人的一致行动人，目前已解除一致行动 关系。江波龙控股股东、实际控制人、部分公司董事、高级管理人员通过出让方间接持有公司股份。 截至1月16日，龙熹一号、龙熹二号的持股数量占公司总股本的比例均为4.18%，龙熹三号的持股比例为3.92%，龙舰管理和龙熹五号则分别为1.57%、 1.38%。根据公告，五家机构股东转让股份的原因均为"自身资金需求"。 1月20日，根据存储模组企业江波龙发布的《股东询价转让定价情况提示性公告》，根据1月19日询价申购情况，初步确定的本次询价转让价格为212.09 元/股。 此前，江波龙于1月16日晚间发布公告，公司的五家机构股东龙熹一号自有资金投资合伙企业(有限合伙)(以下简称"龙熹一号")、宁波龙乙自有资金投资 合伙企业(有限合伙)(以下简称"龙熹二号")、宁波龙熹三号自有资金投资合伙企业(有限合伙)(以下简称"龙熹三号")、宁波龙舰自有资金投资合伙企业(有限合 伙)(以下简称"龙舰管理")、宁波龙熹五号自有资金投资合伙企业(有限合伙)(以下简称"龙熹五号")，计划通过询价转让方式合计 ...

中国经济网北京1月20日讯 江波龙（301308）(301308.SZ)昨日发布股东询价转让定价情况提示性公告。 经向机构投资者询价后，初步确定的转让价格为212.09元/股。参与本次询价转让报价的机构投资者家 数为59家，涵盖了基金管理公司、保险公司、证券公司、私募基金管理人、合格境外投资者等专业机构 投资者。本次询价转让拟转让股份已获全额认购，初步确定受本次询价转让拟转让股份已获全额认购， 初步确定受让方为54名机构投资者，拟受让股份总数为12,574,358股。 江波龙首次公开发行股票的发行费用（不含税）总额为15,313.23万元，其中，中信建投证券股份有限公 司、汇丰前海证券有限责任公司获得保荐及承销费用（含辅导费）12,596.60万元。 2025年3月21日，江波龙向香港联合交易所有限公司递交了发行境外上市外资股（H股）并在香港联交 所主板挂牌上市的申请，并于同日在香港联交所网站刊登了本次发行并上市的申请材料。公司本次发行 并上市尚需取得中国证券监督管理委员会、香港证监会和香港联交所等相关政府机关、监管机构、证券 交易所的批准、核准或备案，该事项仍存在不确定性。 公司控股股东、实际控制人承诺通过 ...