固德威688390 时间: 2025年6月10日星期二 49.09分综合得分 偏弱 40.30 元 当日主力成本 40.34 元 5日主力成本 40.22 元 趋势方向 主力成本分析 20日主力成本 42.08 元 60日主力成本 周期内涨跌停 过去一年内该股 涨停 1次 跌停 0 次 北向资金数据 42.94 中期压力位 38.38 中期支撑位 目前短线趋势不慎明朗，静待主力资金选择方向； 目前中期趋势不慎明朗，静待主力资金选择方向 K线形态 | 持股量675.11万股 | 占流通比2.78% | | --- | --- | | 昨日净买入-4.88万股 | 昨日增仓比-0.02% | | 5日增仓比0.099% | 20日增仓比1.013% | 技术面分析 40.68 短期压力位 39.85 短期支撑位 暂无特殊形态 资金流数据 2025年06月10日的资金流向数据方面 | 主力资金净流入290.14万元 | | --- | | 占总成交额2% | | 超大单净流入257.91万元 | | 大单净流入32.23万元 | | 散户资金净流出254.43万 | 关联行业/概念板块 光伏设备 -1.36%、云计 ...

6月10日，久远银海今日收盘17.64元，下跌2.00%，滚动市盈率PE（当前股价与前四季度每股收益总和 的比值）达到95.45倍，总市值72.01亿元。 序号股票简称PE(TTM)PE(静)市净率总市值(元)109久远银海95.4598.294.2772.01亿行业平均 73.5774.215.31117.90亿行业中值78.9182.534.1261.11亿1实达集团-21480.281502.6222.4684.95亿2航天信 息-14699.361012.681.18161.57亿3东方国信-5453.67373.431.83109.89亿4*ST迪威-2648.12- 204.4149.4317.05亿5岩山科技-2161.37948.623.12307.94亿6荣科科技-751.11-3788.6413.90110.61亿7汇纳 科技-643.82-150.063.4935.81亿8ST浩丰-447.99-651.624.7420.93亿9恒大高新-391.42-161.762.5917.17亿10 恒为科技-386.84308.776.1382.90亿11真视通-217.29477.915.16 ...

凌志软件688588 时间: 2025年6月10日星期二 53.90分综合得分 较强 趋势方向 主力成本分析 13.42 元 当日主力成本 13.71 元 5日主力成本 13.55 元 20日主力成本 13.13 元 60日主力成本 周期内涨跌停 过去一年内该股 涨停 4次 跌停 0 次 技术面分析 13.88 短期压力位 13.41 短期支撑位 14.11 中期压力位 12.93 中期支撑位 目前短线趋势不慎明朗，静待主力资金选择方向； 目前中期趋势不慎明朗，静待主力资金选择方向 K线形态 暂无特殊形态 资金流数据 2025年06月10日的资金流向数据方面 | 主力资金净流出1532.50万元 | | --- | | 占总成交额-17% | | 超大单净流入0.00元 | | 大单净流出1532.50万元 | | 散户资金净流入82.34万 | 关联行业/概念板块 最近的财报数据显示，该股于2025年06月10日 | 每股收益0.168元 | 营业利润0.74亿元 | | --- | --- | | 市盈率--- | 销售毛利率27.089% | | 净利润65,231,528.14元 | | 2025年6 ...

上天天基金APP搜索【777】注册即可 领98元券包 ， 优选基金10元起投！限量发放！先到先 得！ 美东时间 6 月 9 日（周一），美股涨跌不一，标普 500 指数连续第二个交易日上涨。 特斯拉遭 Argus Research 和 Baird 两家机构下调评级，华尔街对该公司前景的担忧加剧。 中概股普遍上涨，纳斯达克中国金龙指数涨 2.07% 。 标普 500 指数连续第二个交易日上涨 截至收盘，道指基本持平报 42761.76 点，标普 500 指数涨 0.09% ，报 6005.88 点，纳 指涨 0.31% ，报 19591.24 点。标普 500 指数已连续第二个交易日上涨。 （图片来源：东方财富APP，统计截至2025/6/9，不作投资推荐） 根据纽约联邦储备银行周一发布的月度调查数据， 5 月份消费者对价格压力的预期普遍有所 改善，家庭对劳动市场的悲观情绪也有所减轻。 具体而言，对于未来一年、三年和五年的通胀率预测中值均出现下降。特别是对接下来一年 通胀率的预测降幅最为显著，从 4 月份的 3.6% 降至 3.2% 。对三年期通胀率的预期从 3.2% 下调至 3% ，而对五年期通胀率的预期也略 ...

（全球TMT2025年6月10日讯）今日要点：苹果官宣迄今规模最大的设计更新；TikTok扩大在英投资新增超500个工作岗位；任正非称AI或 是人类社会最后一次技术革命；马斯克"星链"卫星一年坠落超过300颗；OpenAI年度经常性收入突破100亿美元；亚马逊将在宾州投资200亿 美元。 苹果官宣迄今规模最大的设计更新 苹果公司(Apple)2025年度全球开发者大会(WWDC25)如期在美国加州苹果公司总部召开。本次发布会是一场纯软件发布会，没有任何硬件 发布或更新。苹果公司将在其所有设备上引入一种类似visionOS的新设计语言。同时，还将围绕发布年份对其操作系统进行重新命名，包括 iOS 26和watchOS 26。苹果官宣了迄今规模最大的设计更新，命名为"Liquid Glass（液态玻璃）"，能折射光线并通过镜面高光动态响应用户 的动作，可配合用户调用选项或切换界面等操作，与设备的圆角巧妙呼应。苹果全新操作系统将在秋季向所有用户开放。 苹果升级Siri遇到挑战 苹果很难为其iPhone的人工智能语音助手推出升级。这家硅谷巨头在利用最前沿的大型语言模型来升级Siri时遇到了挑战，这些模型能够对 语音指 ...

在 2025 年第一季度，全球存储市场传来令人振奋的消息：中国的长鑫存储（CXMT）与长江存储 （YMTC）季度营收均突破 10 亿美元大关。这一里程碑式的成就，标志着国内存储企业在全球舞台上 正逐步崭露头角，打破了长期以来由国际巨头主导的市场格局。 长鑫存储专注于 DRAM 领域，自成立以来，通过持续的技术研发与产能扩张，已成为国内 DRAM 产业 的领军者。其在合肥的生产基地不断提升产能，技术工艺也逐步向国际先进水平靠拢。 长江存储则在 NAND Flash 领域深耕细作，凭借自主研发的 3D NAND 技术，在全球市场中占据了一席 之地，产品广泛应用于消费电子、数据中心等多个领域。 长鑫存储与长江存储的崛起，对国内存储产业乃至整个半导体行业都具有深远的影响。一方面，它们的 成功为国内其他存储企业树立了榜样，带动了整个产业的技术升级与发展。另一方面，国内存储企业的 壮大，也有助于提升我国在全球半导体产业链中的地位，降低对进口存储芯片的依赖，保障国家信息安 全。 加入"中国IC独角兽联盟"，请点击进入 投稿 、 商务合作 请微信 dolphinjetta 是说芯语，欢迎关注分享 近年来，全球存储市场需求持续 ...

Core Insights - The digital economy is reshaping the global development landscape with unprecedented depth and breadth, marking a significant historical shift in resource allocation and economic efficiency [3][5] - The digital economy emphasizes the value of data utilization over mere information transmission, highlighting a transition from the "information explosion" era to a focus on data mining and application [4][5] Group 1: Evolution of Digital Economy - The digital economy is seen as a major paradigm shift that enhances economic quality, efficiency, and dynamism, prompting countries to prioritize its development as a key area for competitiveness [5] - The transition from traditional economic models to digital frameworks is characterized by the integration of various industries and markets, leading to significant changes in organizational forms, consumer behavior, and governance [4][5] Group 2: Data as a Key Element - Data is referred to as the "oil" of the digital economy, but its mere accumulation is insufficient for driving development; clear data rights and effective data asset management are essential [6] - The effective circulation and utilization of data can maximize its scale benefits while managing potential legal and privacy risks [6] Group 3: Technological Innovations - Key technologies such as blockchain, cloud computing, quantum computing, and artificial intelligence are crucial for the functioning of the digital economy, providing reliable environments for data transmission and storage [7] - The emergence of Web3 and new communication technologies enhances network security and expands the boundaries and scenarios of the digital economy [7] Group 4: Organizational Changes - Companies in the digital economy must embrace data and innovate their business models to thrive in competitive markets, with digital technologies enabling rapid innovation and minimal marginal costs [7] - Platform-based enterprises are reshaping traditional supply chains and market value assessments, fostering diverse business model innovations and cross-industry collaborations [7] Group 5: Governance Challenges - The growth of the digital economy introduces challenges such as market monopolies, privacy protection, and digital divides, necessitating effective governance frameworks [8] - A balance between encouraging innovation and regulating the market is essential for sustaining the vitality and creativity of the digital economy [8] Group 6: Comprehensive Research - A comprehensive study titled "The Era of Digital Economy: Historical Evolution and Development Trends" explores various dimensions of the digital economy, including its theoretical foundations, key elements, technologies, corporate practices, and governance challenges [9][10] - The research aims to provide insights and wisdom for policymakers, industry leaders, and researchers to navigate the complexities of the digital economy [10]

Core Insights - Amazon announced a $20 billion investment in Pennsylvania to build two data center campuses, one near the Susquehanna nuclear power plant and another at the Keystone Trade Center logistics park [1][3] - This investment is noted as the largest capital investment in Pennsylvania's history, with federal regulators closely monitoring the project due to its direct connection to the nuclear power plant [3] - Since early 2024, Amazon has committed approximately $10 billion in data center projects across Mississippi, Indiana, Ohio, and North Carolina to enhance infrastructure and compete with other tech giants amid rising demand for AI products [3] Group 1 - The Susquehanna nuclear power plant's major stakeholder, Talen Energy, sold a data center near the plant to Amazon for $650 million, which will provide 960 megawatts of power, enough to supply over 500,000 homes [4] - The Federal Energy Regulatory Commission (FERC) has postponed the transaction for procedural reasons, raising concerns about power availability for other users and the fairness of exempting large power users from grid fees [4] - Microsoft has previously reached an agreement to restart a reactor at the closed Three Mile Island nuclear plant to power data centers in four states, indicating a trend among tech giants to reshape the U.S. energy landscape amid AI demands [4]

AWS计算与网络副总裁戴夫·布朗直言："没有哪个模型能通吃所有场景。"这种认知在DeepSeek模型事 件中得到印证——当这家中国初创企业推出颠覆性模型后，AWS仅用一周便在Bedrock上线其托管版 本，展现惊人的技术响应速度。 据了解，Bedrock的诞生可追溯至2020年。当时产品总监阿图尔·迪奥撰写内部备忘录，提议开发基于 LLM的代码生成工具。尽管时任CEO安迪·贾西初期认为这是"白日梦"，但2023年Code Whisperer正式推 出时，团队敏锐意识到：客户真正需要的是跨模型的选择权。这种认知转变促使AWS成为首个提供多 模型选择平台的云服务商。 为避免过度依赖单一模型，AWS采取"自研+投资"的组合策略。2024 年 11 月，AWS 将对 Anthropic 的 投资翻倍至 80 亿美元，这笔交易要求 Anthropic 仅使用 AWS 的芯片来训练其大型语言模型 Claude。 (相比之下，微软已向 OpenAI 投资超过 130 亿美元。)这笔 80 亿美元的交易使亚马逊能够证明其人工智 能培训基础设施并加深与一家 LLM 提供商的联系，同时继续为客户提供 Bedrock 上的多种模型 ...

Group 1 - The recent policy measures aim to accelerate the construction of a technology finance system to support high-level technological self-reliance and strength [1] - The People's Bank of China will focus on enhancing the intensity and service capacity of technology loans, establishing a "technology board" in the bond market, and improving financial services in technology-intensive regions [1][6] - The financial management departments are actively working to build a technology finance system that aligns with technological innovation, creating a robust policy framework [1] Group 2 - Traditional financial institutions often struggle to support technology-intensive enterprises due to high investment, risk, and long cycles associated with innovation, leading to challenges in financing [2] - A case study from Wenzhou highlights a technology enterprise receiving a loan of 18 million yuan for a technology transformation project, showcasing the need for increased operational funding [2][3] - The Agricultural Bank of China provided significant project loan support to a technology enterprise, demonstrating the effectiveness of central bank policies in facilitating financial services [3] Group 3 - The introduction of a "technology board" in the bond market aims to enhance financial support for technology innovation, with a growing issuance of technology innovation bonds [4] - The China Development Bank issued three technology innovation bonds totaling 20 billion yuan, focusing on supporting technology-driven enterprises and strategic emerging industries [5] Group 4 - The People's Bank of China is optimizing the financial service system in key regions like Beijing and Shanghai to enhance the support for technology finance [6] - A collaborative action plan was launched in Shenzhen to explore new approaches for regional technology finance development, emphasizing the need for comprehensive financial services for technology enterprises [6] Group 5 - A conference in Shenzhen highlighted the importance of technology finance in supporting the growth of innovative enterprises, aligning with national strategies for building a strong financial system [7]