2月24日，市场早盘高开回落后震荡回升，三大指数午盘均涨超1%，创业板指半日上涨1.76%，全市场 超4200只个股飘红。在此带动下，创业板50ETF（159949）午盘收涨1.95%，报1.567元，换手率 2.81%，半日成交额6.62亿元，成交规模居同类ETF首位。 | 代码 | 名称 | 现价 | 涨跌幅 IOPV | 溢折率 | 换手率 | | 成交金额 ▼ 5日涨跌幅 60日涨跌幅 | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 159949 | 创业板50ETF | 1.567 | 1.95% 1.5682 | -0.08% | 2.81% | 6.62 Z | -0.06% | 8.82% | | 159682 | SIZINESDELL 当前 | 1.520 | 1.88% 1.5161 | 0.26% | 2.88% | 1.38亿 | -0.07% | 8.96% | | 159681 | SUSOETF | 1.539 1.79% | | 1.5399 -0.06% | 3.13% | 5592.79万 | 0 ...

财经频道更多独家策划、专家专栏，免费查阅>> 责任编辑：山上 近日，云知声 (09678.HK) 创始人兼首席执行官黄伟在与凤凰网财经《发现新势力》对话时，谈及 AI 时 代文理科的专业差异与优势问题，他表示当下 AI 研发端理科生更具优势，但未来当 AI 能替代编程 后，审美、鉴别、人文等文科能力会变得更为重要。 凤凰网财经《发现新势力》：在 AI 时代，文科理科的专业差异是不是没那么大了，还是理科生更有优 势？ 黄伟：从 AI 模型研发的角度来看，理科生会更有优势。但从结果层面来讲，如果未来编程变得不那么 重要，AI 也能完成编程工作，那么文科就会变得很重要，因为后续发展所需的审美、鉴别、人文等能 力，都属于文科的能力范畴。所以当下从技术本身看，理工科更重要，而从未来的发展结果来看，文科 可能会更重要。 ...

Core Insights - Gu Ailing, a prominent Chinese Winter Olympics athlete, has gained significant attention after winning 1 gold and 2 silver medals at the Milan Winter Olympics, becoming the athlete with the most medals in freestyle skiing history [1][3] Group 1: Athlete Earnings - Gu Ailing ranks first in the Forbes athlete income list for the Winter Olympics with an income of $23 million (approximately 160 million RMB) [3] - Other top earners include Auston Matthews (hockey player) with $20 million, Lindsey Vonn (alpine skier) with $8 million, Chloe Kim (snowboarder) with $4 million, and Ilya Malinin (figure skater) with $700,000 [3] Group 2: Brand Endorsements - Gu Ailing endorses over 10 top-tier brands across various industries, including Louis Vuitton (LV), Tiffany & Co., IWC, TOD'S, Bosideng, Porsche, Anta, Faction Skis, Red Bull, TCL, Mengniu, Luckin Coffee, Bank of China, and China Mobile, covering luxury goods, automotive, outdoor sports, food and beverage, finance, and telecommunications [5] - Her impressive image and achievements have made her a sought-after figure for major brands, reflecting her status as a top athlete in the Winter Olympics [5] Group 3: Personal Insights - Gu Ailing has received praise for her authenticity, notably showing emotion during a press conference upon learning of her grandmother's passing [5] - She expressed a keen interest in AI as her primary focus outside of skiing [5]

Market Overview - On February 13, the two major indices closed lower with a trading volume of 2 trillion, a decrease of approximately 160 billion from the previous trading day[1] - The A-share market saw significant activity in the Year of the Snake, with the Shanghai Composite Index rising by 25.58%, the Shenzhen Component by 38.84%, and the ChiNext Index leading with a 58.73% increase[1] - The average daily trading volume surged to 1.89 trillion, a nearly 70% increase compared to the previous year, with trading days exceeding 2 trillion accounting for 35% of the total[2] Fund Flow - On February 13, the Shanghai index experienced a net outflow of 22.457 billion, while the Shenzhen index saw a net outflow of 11.499 billion[3] - The top three sectors for capital inflow were aerospace equipment, IT services, and consumer electronics, while the top three sectors for outflow were communication equipment, photovoltaic equipment, and electric power[3] Industry Insights - The AI-related industries are expected to maintain high growth, with TSMC and domestic wafer manufacturers reporting strong performance driven by AI demand in various component sectors[1] - The average rent for commercial properties in major cities is projected to be 24.05 yuan per square meter per day in the second half of 2025, reflecting a 0.47% decrease from the previous half-year[10] Transportation and Logistics - National railway freight volume was reported at 65.687 million tons, a decrease of 10.72% week-on-week, while highway truck traffic fell by 70.59%[4] - The logistics sector is experiencing significant declines, with postal and express delivery volumes dropping by 64.7% and 81.07% respectively[4] Robotics Market - The robot performance rental market has seen a surge, with transaction volumes increasing over 100% in January 2026 compared to the previous month, indicating high demand during the Spring Festival[11]

Core Viewpoint - The report from Guojin Securities highlights that the rapid rise in prices within traditional industries is driven by the high returns from AI, which is reallocating resources and creating supply gaps. The industry is currently in a stocking phase, further catalyzing price increases, particularly in electronic materials [1]. Group 1: Impact of AI on Traditional Industries - AI is attracting capital due to its high return potential, leading to a significant reallocation of resources from traditional sectors, creating supply shortages [2]. - The competition in the industry is intensifying as companies upgrade their capacities to maintain technological advantages, resulting in a rapid evolution of the sector [2]. - Traditional capacities being directly squeezed by AI include storage, electronic fabrics, optical fibers, CTE electronic fabrics, CCL, CPUs, copper foils, packaging, passive components, power supplies, PCBs, and ATE [2]. Group 2: Specific Industry Insights - In storage, HBM is consuming wafer capacity at a much higher rate than traditional DRAM [3]. - For electronic fabrics, low-dk/low-cte/Q fabrics are taking over the capacity of 7628/thin/ultra-thin fabrics due to longer ordering cycles [3]. - AI data centers are consuming optical fiber capacity, particularly G.652D, due to a shortage of optical preform rods [4]. Group 3: Price Increases and Market Dynamics - The price increases in traditional sectors are occurring rapidly, with examples including DDR4 and LPDDR4 prices rising since May 2025, and ordinary electronic fabrics experiencing multiple price hikes throughout 2025 and early 2026 [10][11]. - The stocking behavior in the electronic materials supply chain is accelerating price increases, as companies anticipate further price hikes and react by increasing their inventory [11].

【有道云笔记】AI的催化都演绎了，节后该怎么布局？0223@kk 有道云笔记 纪要来源：【文八股调研：www.wenbagu.com】 【有道云笔记】AI的催化都演绎了，节后该怎么布局？0223@kk 有道云笔记 纪要来源：【文八股调研：www.wenbagu.com】 ...

Report Industry Investment Ratings - **Macro Finance**: Long - term bullish on stock indices, suggesting buying on dips; government bonds to trade in a range [1][5] - **Black Building Materials**: Short - term trading for coking coal; range trading for rebar; glass to trade weakly in a range [1][7][8][9] - **Non - ferrous Metals**: Suggest buying copper on dips; strengthening observation for aluminum; waiting and seeing for nickel; range trading for tin, gold, silver; range - bound oscillation for lithium carbonate [1][10][11][13][14][16] - **Energy and Chemicals**: Range trading for PVC; low - level rebound for caustic soda; selling short on rallies for soda ash; strong - biased oscillation for styrene; range trading for rubber, urea, methanol; weak - biased oscillation for polyolefins [1][16][18][19][20][21][22][23][24] - **Cotton and Textile Industry Chain**: Strong - biased oscillation for cotton and cotton yarn; oscillation for apples and jujubes [1][24][26] - **Agriculture and Animal Husbandry**: Cautious about short - selling the May contract of live pigs, selling short on rallies; selling short on rallies for near - month egg contracts if culling does not accelerate; range trading for corn; short - selling on rallies for soybean meal; buying on dips for oils [1][28][29][30] Core Views - The report provides trading suggestions for various futures products based on their market fundamentals, supply - demand relationships, and macro - economic factors. It also analyzes the impacts of policies, geopolitical events, and seasonal factors on different futures markets [1][5][8][10] Summary by Category Macro Finance - **Stock Indices**: Short - term oscillation, long - term bullish, buy on dips. AI concerns boost precious metals, and the market may be strong before the Two Sessions [5] - **Government Bonds**: Oscillation. Despite supply pressure, the bond market may continue the bull market if the pressure can be digested [5] Black Building Materials - **Coking Coal**: Short - term trading. After the Spring Festival, the coking coal market is weak and stable, with slow demand recovery [7][8] - **Rebar**: Range trading. The tariff game continues, and the steel price is expected to be weak in the short - term due to low valuation and weak driving forces [8] - **Glass**: Weak - biased oscillation. Supply reduction and demand weakness coexist, and there are potential risks and uncertainties [9] Non - ferrous Metals - **Copper**: Suggest buying on dips. Supply is tight, demand is resilient, and copper remains a strategic resource [10][11] - **Aluminum**: Strengthen observation. Supply is expected to improve, but the bullish sentiment in the non - ferrous market remains [11] - **Nickel**: Suggest buying on dips moderately. The reduction of nickel ore quotas in Indonesia supports the price [13] - **Tin**: Range trading. Supply is tight, and downstream demand is in a recovery trend [13] - **Silver and Gold**: Range trading. Geopolitical events and economic data affect the prices, and the mid - term price centers are rising [14] - **Lithium Carbonate**: Range - bound oscillation. Supply and demand factors coexist, and attention should be paid to the disturbances in Yichun's mining end [16] Energy and Chemicals - **PVC**: Range trading. Low valuation, weak domestic demand, and high inventory, but there are potential opportunities from policies and exports [16][18] - **Caustic Soda**: Low - level rebound. Supply pressure is large, and the price may be supported if the market atmosphere of related commodities improves [18] - **Soda Ash**: Selling short on rallies. Supply is excessive, and the price may be under pressure in the short - term [24] - **Styrene**: Strong - biased oscillation. Low inventory during the Spring Festival and export support the price, but supply may increase in March [19][20] - **Rubber**: Range trading. Supply is in the off - season, and demand is expected to support the price [20] - **Urea**: Range trading. Supply increases, and demand is supported by agricultural and industrial needs, with stable prices [21] - **Methanol**: Range trading. Supply decreases, demand is weak, and the market is weak [22][23] - **Polyolefins**: Weak - biased oscillation. Supply is high, demand is weak during the Spring Festival, and inventory accumulates [23] Cotton and Textile Industry Chain - **Cotton and Cotton Yarn**: Strong - biased oscillation. Global cotton supply and demand change, and the price is expected to be strong after the festival [24] - **Apples**: Oscillation. The trading volume of different grades of apples varies in different regions [26] - **Jujubes**: Oscillation. The purchase price of Xinjiang gray jujubes varies by region [26] Agriculture and Animal Husbandry - **Live Pigs**: Cautious about short - selling the May contract, selling short on rallies. Short - term price is under pressure, and long - term price depends on capacity reduction [28] - **Eggs**: Selling short on rallies for near - month contracts if culling does not accelerate. Supply is sufficient, and demand is weak after the festival [28] - **Corn**: Range trading. Short - term supply - demand game is intense, and long - term supply is relatively loose [29] - **Soybean Meal**: Short - selling on rallies. Global supply is abundant, and domestic supply is loose from March to June [29][30] - **Oils**: Buying on dips. After the Spring Festival, domestic oils are expected to follow the external market higher, with different performances among varieties [30][31][32][33][34][35]

另外公司25.6T产品在国产CSP客户已经斩获订单，目标1500e以上市值，翻倍空间！ 2、【芯碁微装】坚定看450e 以上市值，预计一季度单月交付2e金额设备，后续业绩确定高增长！先进封装设备出货预计每年翻倍。 公司港股上市已经拿到备案，预计4月初上市，另外板块方面盛合晶微上市在即，β强催化。 3、【英诺赛科】26年黑马标的，重点关注RubinUltra方案进展，我们认为GaN将是AI机柜最优解决方案，解决 了"超高功率 + 极致效率 + 极高密度"这三个AI数据中心最核心的矛盾，NVL576机柜如果全面采用GaN，单柜价值 量达到20万美金，增量巨大！ 4、【菲利华】英伟达、谷歌前沿AI芯片产品推动Q布需求爆发式增长，全球产能供 不应求，菲利华依托数十年航空航天石英纤维技术沉淀，有望成为全球Q布龙头，目标千亿市值。 5、【佰维存储】 26年全年业绩高增，Q1业绩环比翻倍不止。 【DW电子】领导好，开工大吉！汇报一下我们电子开年组合 1、【盛科通信】26年国产算力重磅增量标的，今年国产算力超节点全面铺开，盛科51.2T重磅产品目前进展顺 利，全面助力国产超节点放量。 另外公司25.6T产品在国产CSP客户已 ...

去年这时候，我跟朋友们说得最多的一句话是"拿得住就行"。 回头看，确实对——只要没被震下车，AI、高股息、黄金，随便拿一个，收益都不差。 但今年开年这一个月，你有没有发现一个变化：市场变得"难做"了。 不是不涨，是涨得让人心慌——今天追进去，明天就回调；刚割了肉，又拉起来。板块轮动快得像电风 扇，赚钱效应还在，但节奏一错，就两头挨打。 所以今年我给自己的关键词，换成了四个字：谨慎乐观。 这就是分化——资金在用脚投票，只认实锤，不认故事。 所以今年要想赚钱，光靠"拿得住"不够了。你得问自己三个问题： 别急着划走，我知道很多人一听到"谨慎"就觉得是看空。不是的。恰恰相反，我对后市的判断，比去年 更乐观——大行情还处在初期，后面空间巨大。 但为什么还要"谨慎"？ 因为行情的形态变了。去年是普涨，水涨船高，只要在场就能赚钱。今年是分化，水还在，但船开始分 道扬镳。有的船能借着产业趋势一路向北，比如AI算力、光模块、存储芯片，订单排到年底，业绩看 得见摸得着；有的船，全靠情绪推着走，涨得快跌得更快，比如那些蹭概念的AI应用、没有核心技术 的机器人公司。 你看港股那边，智谱一天跌22%，MiniMax跌13%。 为什么？ ...

Global Market Overview - The Hang Seng Index closed at 27,082, up 2.53% for the day and 5.66% year-to-date, driven by strong performances from major stocks like Tencent and Hong Kong Exchanges [3] - The Hang Seng Technology Index rose by 3.34%, indicating a renewed interest in technology stocks [3] - Southbound capital saw a net inflow of approximately HKD 20.2 billion, highlighting a shift towards "core assets + technology" allocation [3] - The offshore RMB strengthened, breaking through 6.89, nearing a three-year high, amidst calls from the Ministry of Commerce for the U.S. to lift unilateral tariffs [3] Sector Performance - The Hang Seng Financial Index increased by 2.29%, with a year-to-date rise of 8.12% [2] - The Hang Seng Industrial Index rose by 2.77%, reflecting a year-to-date increase of 3.03% [2] - The Hang Seng Real Estate Index saw a 2.25% increase, with a significant year-to-date rise of 23.95% [2] - The Hang Seng Utilities Index gained 0.90%, with a year-to-date increase of 9.27% [2] U.S. Market Reaction - Major U.S. indices, including the Dow Jones, S&P 500, and Nasdaq, all fell over 1%, influenced by renewed tariff uncertainties and concerns over AI impacts [3] - The 10-year U.S. Treasury yield dropped over 5 basis points to 4.02%, marking a near three-month low as investors sought safe-haven assets [3] - Gold prices surged over 2%, while silver rose approximately 4%, reflecting a flight to safety amid market volatility [3] Investment Sentiment - The report indicates a cautious sentiment among investors due to the resurgence of tariff risks and AI-related fears, leading to significant sell-offs in high-valuation sectors [3] - The uncertainty surrounding trade policies has weakened investor confidence in U.S. assets, contributing to a decline in the U.S. dollar index over two consecutive days [3]