ENG/中
老虎證券
市场
行情
24/7新闻
产品
Cash Boost账户
期权
A股通
港股
固定票息票据
美股
ETF
基金超市
美国国债
新加坡股
期货
Tiger BOSS Debit Card
老虎钱袋子
功能
经纪人
定投
CPF/SRS 投资
专栏
美股碎股
TigerAI
费用
综合账户
股票与ETF
期权、窝轮与牛熊证
期货
债券
基金超市
Cash Boost
股票与ETF
融资利率
活动
帮助
账户操作
如何开户
开户文件
账户类型
资金与转仓
入金
DDA快捷入金
出金
转入股票
转出股票
货币兑换
产品与交易
可交易产品
订单类型
交易规则
申报
融资融券
保证金与杠杆
风险管理
做空风险
基金超市
基金开户与交易
Cash Boost账户
Cash Boost 账户FAQ
如何开通 Cash Boost 账户
如何用Cash Boost 账户交易
如何绑定CDP证券账户
Tiger Boss Debit Card
常见问题
费用说明
如何充值
如何使用我的Debit card
账单报表
账单报表
股息（分红）
机构
Tiger Fund Management
机构服务
财富及资产管理人
自营交易机构
介绍经纪商
三方服务商
老虎API平台
登入
立即註冊
Toggle
美股
詳情
本頁面由Tiger Trade Technology Pte. Ltd.提供服務
IBM
240.21
-1.8000
-0.74%
盤後：
239.66
-0.5500
-0.23%
19:59 EST
成交量：
664.22萬
成交額：
15.86億
市值：
2,245.33億
市盈率：
21.52
高：
240.21
開：
238.07
低：
234.57
收：
242.01
52周最高：
324.90
52周最低：
214.50
股本：
9.35億
流通股本：
9.27億
量比：
0.62
換手率：
0.72%
股息：
6.71
股息率：
2.79%
每股收益(TTM):
11.16
每股收益(LYR):
11.16
淨資產收益率：
35.16%
總資產收益率：
5.08%
市淨率：
6.88
市盈率(LYR):
21.52
資料載入中...
總覽
公司
新聞資訊
公告
IBM遭受重創：核心業務被Anthropic擊穿
EEPW
·
02/26
人工智能-企業人工智能的秘密武器
路透中文
·
02/26
科技、媒體與電信行業綜述：市場動態聚焦
投资观察
·
02/26
全球股市動態綜述：市場焦點對話
投资观察
·
02/25
IBM盤中異動 股價大漲3.00%報236.21美元
市场透视
·
02/25
AI挑戰67歲COBOL代碼：IBM股價單日暴跌13%或創最差月表現
ITBEAR科技资讯
·
02/25
IBM獲美國國防部給養局上限1.12億美元合同 期限最長五年
美股速递
·
02/25
20/20 Biolabs推出Onetest長壽血液檢測及慢性病風險管理解決方案，集成IBM人工智能技術
美股速递
·
02/25
Anthropic一天惹怒兩巨頭：五角大樓威脅封殺，IBM股價暴跌13%
Agent时代
·
02/25
量子解鎖1.0：IBM詳解量子計算五大焦點問題
华尔街见闻
·
02/25
IBM 2026 X-Force威脅指數報告：基礎安全缺口致企業門户洞開，AI驅動型攻擊急劇升級
美股速递
·
02/25
IBM推出AI智能體驅動的FlashSystem全閃存產品組合，開啓"自主存儲"新時代
美通社
·
02/25
市場錯殺IBM(IBM.US)！傑富瑞：暴跌無視了「自我革新」的關鍵事實
智通财经
·
02/25
BUZZ-人工智能顛覆性擔憂引發數十年來最糟糕一天，IBM 反彈
路透中文
·
02/24
異動解讀 | 市場情緒逆轉，IBM盤中大漲5.79%
异动解读
·
02/24
一夜蒸發310億美元，Claude 新工具幹翻IBM 搖錢樹
虎嗅APP
·
02/24
春節第一批AI受害者：IBM和美國版美團
奇偶工作室
·
02/24
美股大跌，科技巨頭重挫！歐洲議會暫停批准歐美貿易協議
速豹新闻网
·
02/24
關税、AI雙重「暴擊」，三大股指全線大跌｜美股一線
21世纪经济报道
·
02/24
估值飆至3500億美元！Anthropic推50億天量員工套現計劃，AI人才戰白熱化
智通财经
·
02/24
更多
{"basename":"/hant","ssrTDKData":{"titleTemplate":"%s - 老虎證券","title":"老虎证券全球投资理财平台| 一站式投资美股新股港股A股","description":"老虎证券助您一站式投资美股，新股，港股，A股等全球金融理财产品。新加坡华人最信赖的在线投资平台，现在加入即享低费用，24/5 无时差炒美股投资理财！","keywords":"老虎證券,老虎證券開戶,老虎券商,老虎證券官網,老虎證券app,tigertrade老虎證券,股票,炒股,新加坡股票交易平臺,投資,投資理財","social":{"ogDescription":"老虎证券助您一站式投资美股，新股，港股，A股等全球金融理财产品。新加坡华人最信赖的在线投资平台，现在加入即享低费用，24/5 无时差炒美股投资理财！","ogImage":"https://c1.itigergrowtha.com/portal5/static/media/og-logo.be62fbe1.png","ogUrl":"https://www.itiger.com/hant/stock/IBM/news"},"companyName":"老虎證券"},"pageData":{"isMobile":false,"isTiger":false,"isTTM":true,"region":"SGP","license":"TBSG","edition":"fundamental","symbol":"IBM","isAnalysisPage":false},"__swrFallback__":{"@#url:\"https://hq.skytigris.cn/stock_info/detail/global\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"IBM\",,,,,undefined,":{"symbol":"IBM","market":"US","secType":"STK","nameCN":"IBM","latestPrice":240.21,"timestamp":1772226000000,"preClose":242.01,"halted":0,"volume":6642220,"hourTrading":{"tag":"盘后","latestPrice":239.66,"preClose":240.21,"latestTime":"19:59 EST","volume":875765,"amount":210356926.91082,"timestamp":1772240365985,"change":-0.55,"changeRate":-0.00229,"amplitude":0.003997},"delay":0,"changeRate":-0.007437709185570774,"floatShares":927000000,"shares":934735206,"eps":11.163189,"marketStatus":"休市中","change":-1.8,"latestTime":"02-27 16:00:00 EST","open":238.07,"high":240.21,"low":234.565,"amount":1586247089.9938002,"amplitude":0.023325,"askPrice":0,"askSize":0,"bidPrice":0,"bidSize":0,"shortable":3,"etf":0,"ttmEps":11.163189,"tradingStatus":0,"nextMarketStatus":{"tag":"盤前交易","tradingStatus":1,"beginTime":1772442000000},"marketStatusCode":7,"adr":0,"adrRate":0,"listingDate":-1693076400000,"exchange":"NYSE","adjPreClose":242.01,"dividendRate":0.027934,"preHourTrading":{"tag":"盘前","latestPrice":239.1,"preClose":242.01,"latestTime":"09:28 EST","volume":27784,"amount":6645159.29344,"timestamp":1772202539063,"change":-2.91,"changeRate":-0.012024,"amplitude":0.025457},"postHourTrading":{"tag":"盘后","latestPrice":239.66,"preClose":240.21,"latestTime":"19:59 EST","volume":875765,"amount":210356926.91082,"timestamp":1772240365985,"change":-0.55,"changeRate":-0.00229,"amplitude":0.003997},"volumeRatio":0.6210172084322608,"optionData":{"bulkOrders":[{"symbol":"IBM","call":false,"expireDate":1773979200000,"strike":"300.0","timestamp":1772225171002,"price":61.4,"volume":4300,"amount":26402000,"type":"+"},{"symbol":"IBM","call":false,"expireDate":1773979200000,"strike":"300.0","timestamp":1772222835470,"price":61.85,"volume":4300,"amount":26595500,"type":"-"}]},"impliedVol":0.3977,"impliedVolPercentile":0.8088},"@#url:\"https://hq.skytigris.cn/stock_info/fundamental/all\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"IBM\",,,,,undefined,":{"symbol":"IBM","floatShares":927000000,"roa":"5.08%","roe":"35.16%","lyrEps":11.163189,"volumeRatio":0.6210172084322608,"shares":934735206,"dividePrice":6.71,"high":240.21,"amplitude":0.023325,"preClose":242.01,"low":234.565,"week52Low":214.5,"pbRate":"6.88","psRate":"3.32","week52High":324.9,"institutionHeld":0.6455,"latestPrice":240.21,"eps":11.163189,"divideRate":0.027934,"volume":6642220,"delay":0,"ttmEps":11.163189,"open":238.07,"prevYearClose":296.21,"prevWeekClose":257.16,"prevMonthClose":306.7,"prevQuarterClose":296.21,"fiveDayClose":257.16,"twentyDayClose":309.24,"sixtyDayClose":305.67,"dividendPayoutRate":0.590553502651154,"dividendFrequency":"Q","dividendGrowthYears":10,"dividendGrowthRate":0.00599700149925038,"fiveYearAvgDividendRate":0.03774484473774863},"@#url:\"https://hq.skytigris.cn/fundamental/corporate_actions/details/IBM\",params:#limit:5,,,undefined,":[{"date":"2026-02-10","symbol":"IBM","amount":1.68,"announcedDate":"2026-01-28","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2026-02-10","defaultRemindTime":1770733800000,"name":"IBM","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2026-03-10","payableDate":"2026-02-10","currency":"USD","dateTimestamp":1770699600000,"payDate":"2026-03-10"},{"market":"US","date":"2026-01-28","symbol":"IBM","fiscalQuarterEnding":"2025/12","expectedEps":4.33,"name":null,"time":"盤後","type":"earning","dateTimestamp":1769576400000,"reportTimeType":"post","actualEps":3.92},{"date":"2025-11-10","symbol":"IBM","amount":1.68,"announcedDate":"2025-10-22","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2025-11-10","defaultRemindTime":1762785000000,"name":"IBM","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2025-12-10","payableDate":"2025-11-10","currency":"USD","dateTimestamp":1762750800000,"payDate":"2025-12-10"},{"market":"US","date":"2025-10-22","symbol":"IBM","fiscalQuarterEnding":"2025/09","expectedEps":2.44,"name":null,"time":"盤後","type":"earning","dateTimestamp":1761105600000,"reportTimeType":"post","actualEps":2.65},{"date":"2025-08-08","symbol":"IBM","amount":1.68,"announcedDate":"2025-07-23","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2025-08-08","defaultRemindTime":1754659800000,"name":"IBM","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2025-09-10","payableDate":"2025-08-08","currency":"USD","dateTimestamp":1754625600000,"payDate":"2025-09-10"}],"@#url:\"https://hq.skytigris.cn/fundamental/dividend/history\",params:#symbol:\"IBM\",market:\"US\",,,undefined,":[{"executeDate":"2016-05-06","recordDate":"2016-05-10","paymentDate":"2016-06-10","value":1.4,"currency":"USD"},{"executeDate":"2016-08-08","recordDate":"2016-08-10","paymentDate":"2016-09-10","value":1.4,"currency":"USD"},{"executeDate":"2016-11-08","recordDate":"2016-11-10","paymentDate":"2016-12-10","value":1.4,"currency":"USD"},{"executeDate":"2017-02-08","recordDate":"2017-02-10","paymentDate":"2017-03-10","value":1.4,"currency":"USD"},{"executeDate":"2017-05-08","recordDate":"2017-05-10","paymentDate":"2017-06-10","value":1.5,"currency":"USD"}],"@#url:\"https://hq.skytigris.cn/fundamental/estimate/recommendation\",params:#symbol:\"IBM\",market:\"US\",delay:false,,,undefined,":{"strongBuy":0.2609,"buy":0.2174,"hold":0.4348,"sell":0.087,"strongSell":0,"meanLabel":"BUY","meanPercent":0.2174,"analysts":23,"updateTime":1768107600000},"@#url:\"https://hq.skytigris.cn/value_analysis/stock/IBM\",params:#withQuantilePoint:true,period:\"5year\",factor:\"peRate\",delay:false,algorithm:1,,,undefined,":{"brief":{"id":"IBM","date":"2026-02-26","current":21.518045,"percent":0.162656,"low":18.465261,"twenty":21.358851,"median":24.346189,"eighty":48.136705,"high":107.871875,"avg":36.820369,"sd":22.073743,"marketCap":222037000833},"quantilePoints":[{"date":"2021-03-05","current":19.635092,"twenty":11.512518,"median":13.688776,"eighty":19.047987,"marketCap":109760162074},{"date":"2021-03-12","current":20.399202,"twenty":11.527001,"median":13.710491,"eighty":19.109918,"marketCap":114031541824},{"date":"2021-03-19","current":20.605416,"twenty":11.541892,"median":13.733374,"eighty":19.16772,"marketCap":115184278201},{"date":"2021-03-26","current":21.801138,"twenty":11.570405,"median":13.748697,"eighty":19.20309,"marketCap":121868361994},{"date":"2021-04-01","current":21.297592,"twenty":11.583261,"median":13.773052,"eighty":19.240772,"marketCap":119053540610},{"date":"2021-04-09","current":21.697232,"twenty":11.602908,"median":13.799546,"eighty":19.285547,"marketCap":121287525835},{"date":"2021-04-16","current":21.35514,"twenty":11.625275,"median":13.821041,"eighty":19.302564,"marketCap":119375234483},{"date":"2021-04-23","current":23.701044,"twenty":11.657979,"median":13.840454,"eighty":19.365263,"marketCap":127274606238},{"date":"2021-04-30","current":23.607639,"twenty":11.6598,"median":13.866109,"eighty":19.523237,"marketCap":126773018836},{"date":"2021-05-07","current":24.20332,"twenty":11.663234,"median":13.886634,"eighty":19.583464,"marketCap":129971830560},{"date":"2021-05-14","current":24.073535,"twenty":11.663234,"median":13.921652,"eighty":19.684238,"marketCap":129274882755},{"date":"2021-05-21","current":24.083518,"twenty":11.665011,"median":13.931787,"eighty":19.870066,"marketCap":129328494124},{"date":"2021-05-28","current":23.917127,"twenty":11.665011,"median":13.949485,"eighty":20.306045,"marketCap":128434971296},{"date":"2021-06-04","current":24.529448,"twenty":11.665011,"median":13.956588,"eighty":20.521652,"marketCap":131723135303},{"date":"2021-06-11","current":25.171719,"twenty":11.665011,"median":13.980722,"eighty":20.761727,"marketCap":135172133419},{"date":"2021-06-18","current":23.813964,"twenty":11.665011,"median":13.99634,"eighty":20.901084,"marketCap":127880987143},{"date":"2021-06-25","current":24.432941,"twenty":11.665011,"median":14.009573,"eighty":21.229813,"marketCap":131204892063},{"date":"2021-07-02","current":23.29815,"twenty":11.667756,"median":14.035654,"eighty":21.410218,"marketCap":125111066376},{"date":"2021-07-09","current":23.547738,"twenty":11.667756,"median":14.049031,"eighty":21.581496,"marketCap":126451350618},{"date":"2021-07-16","current":23.111792,"twenty":11.667756,"median":14.067246,"eighty":21.901888,"marketCap":124110320809},{"date":"2021-07-23","current":23.676512,"twenty":11.667756,"median":14.071578,"eighty":22.401648,"marketCap":126290516509},{"date":"2021-07-30","current":23.686779,"twenty":11.667756,"median":14.091221,"eighty":22.607029,"marketCap":126345277490},{"date":"2021-08-06","current":24.212741,"twenty":11.667756,"median":14.118352,"eighty":22.750359,"marketCap":129150759174},{"date":"2021-08-13","current":24.059825,"twenty":11.667756,"median":14.126933,"eighty":22.829096,"marketCap":128335107908},{"date":"2021-08-20","current":23.375906,"twenty":11.667756,"median":14.150382,"eighty":22.949767,"marketCap":124687085215},{"date":"2021-08-27","current":23.426318,"twenty":11.667756,"median":14.16131,"eighty":23.027078,"marketCap":124955981237},{"date":"2021-09-03","current":23.454885,"twenty":11.667756,"median":14.166962,"eighty":23.055778,"marketCap":125108355649},{"date":"2021-09-10","current":23.024705,"twenty":11.667756,"median":14.187695,"eighty":23.08054,"marketCap":122813776265},{"date":"2021-09-17","current":22.723915,"twenty":11.667756,"median":14.194176,"eighty":23.09617,"marketCap":121209363336},{"date":"2021-09-24","current":23.103683,"twenty":11.667756,"median":14.207624,"eighty":23.103057,"marketCap":123235046699},{"date":"2021-10-01","current":24.083351,"twenty":11.667756,"median":14.21502,"eighty":23.10929,"marketCap":128460592719},{"date":"2021-10-08","current":24.066547,"twenty":11.667756,"median":14.225746,"eighty":23.147079,"marketCap":128370960711},{"date":"2021-10-15","current":24.300121,"twenty":11.667756,"median":14.242562,"eighty":23.167878,"marketCap":129616845611},{"date":"2021-10-22","current":24.049813,"twenty":11.667756,"median":14.274011,"eighty":23.207989,"marketCap":114621410807},{"date":"2021-10-29","current":23.526991,"twenty":11.676773,"median":14.293665,"eighty":23.227906,"marketCap":112129641007},{"date":"2021-11-05","current":23.25923,"twenty":11.700808,"median":14.300195,"eighty":23.245845,"marketCap":110853491263},{"date":"2021-11-12","current":22.384257,"twenty":11.74809,"median":14.321285,"eighty":23.248735,"marketCap":106683369636},{"date":"2021-11-19","current":21.836693,"twenty":11.762439,"median":14.328618,"eighty":23.248735,"marketCap":104073680617},{"date":"2021-11-26","current":21.791533,"twenty":11.769184,"median":14.352444,"eighty":23.248735,"marketCap":103858448533},{"date":"2021-12-03","current":22.361677,"twenty":11.797958,"median":14.370368,"eighty":23.248735,"marketCap":106575753594},{"date":"2021-12-10","current":23.34955,"twenty":11.846242,"median":14.389475,"eighty":23.251092,"marketCap":111283955431},{"date":"2021-12-17","current":23.97238,"twenty":11.861692,"median":14.406282,"eighty":23.261487,"marketCap":114252364590},{"date":"2021-12-23","current":24.580157,"twenty":11.878383,"median":14.413979,"eighty":23.272053,"marketCap":117149029720},{"date":"2021-12-31","current":25.150301,"twenty":11.919065,"median":14.425139,"eighty":23.291733,"marketCap":119866334781},{"date":"2022-01-07","current":25.370456,"twenty":11.930301,"median":14.449224,"eighty":23.31426,"marketCap":120915591190},{"date":"2022-01-14","current":25.253792,"twenty":11.954906,"median":14.476975,"eighty":23.342438,"marketCap":120359574973},{"date":"2022-01-21","current":24.339305,"twenty":11.964158,"median":14.490537,"eighty":23.350116,"marketCap":116001125272},{"date":"2022-01-28","current":21.002899,"twenty":11.981014,"median":14.501497,"eighty":23.350116,"marketCap":120619647075},{"date":"2022-02-04","current":21.41671,"twenty":11.991766,"median":14.514498,"eighty":23.350116,"marketCap":122996168002},{"date":"2022-02-11","current":20.720257,"twenty":12.002175,"median":14.534012,"eighty":23.350116,"marketCap":118996438441},{"date":"2022-02-18","current":19.417922,"twenty":12.002886,"median":14.562575,"eighty":23.350116,"marketCap":111517123522},{"date":"2022-02-25","current":19.445641,"twenty":12.002886,"median":14.571703,"eighty":23.350116,"marketCap":111676314061},{"date":"2022-03-04","current":19.827726,"twenty":12.006397,"median":14.596433,"eighty":23.350116,"marketCap":113870630427},{"date":"2022-03-11","current":19.41119,"twenty":12.038941,"median":14.653609,"eighty":23.350116,"marketCap":111478465864},{"date":"2022-03-18","current":20.162834,"twenty":12.052029,"median":14.70989,"eighty":23.350116,"marketCap":115795153797},{"date":"2022-03-25","current":20.568408,"twenty":12.073755,"median":14.807084,"eighty":23.350116,"marketCap":118124366661},{"date":"2022-04-01","current":20.380497,"twenty":12.127727,"median":15.15299,"eighty":23.350116,"marketCap":117045194677},{"date":"2022-04-08","current":20.001544,"twenty":12.198157,"median":15.202565,"eighty":23.350116,"marketCap":114868864511},{"date":"2022-04-14","current":19.81833,"twenty":12.237795,"median":15.24923,"eighty":23.350116,"marketCap":113816671828},{"date":"2022-04-22","current":22.5194,"twenty":12.288294,"median":15.297687,"eighty":23.350116,"marketCap":124329605564},{"date":"2022-04-29","current":21.538552,"twenty":12.356817,"median":15.363748,"eighty":23.350116,"marketCap":118914344318},{"date":"2022-05-06","current":22.428049,"twenty":12.456095,"median":15.383584,"eighty":23.350116,"marketCap":123825261192},{"date":"2022-05-13","current":21.764999,"twenty":12.583995,"median":15.40173,"eighty":23.350116,"marketCap":120164559420},{"date":"2022-05-20","current":20.930891,"twenty":12.649802,"median":15.418041,"eighty":23.350116,"marketCap":115559450556},{"date":"2022-05-27","current":22.688708,"twenty":12.725163,"median":15.43492,"eighty":23.350116,"marketCap":125264357712},{"date":"2022-06-03","current":22.999869,"twenty":12.85377,"median":15.44583,"eighty":23.350116,"marketCap":126982279183},{"date":"2022-06-10","current":22.18694,"twenty":12.959175,"median":15.522772,"eighty":23.350116,"marketCap":122494096911},{"date":"2022-06-17","current":21.996334,"twenty":13.022895,"median":15.554352,"eighty":23.350116,"marketCap":121441757581},{"date":"2022-06-24","current":23.143232,"twenty":13.090932,"median":15.571004,"eighty":23.350682,"marketCap":127773782269},{"date":"2022-07-01","current":22.990095,"twenty":13.169674,"median":15.686991,"eighty":23.350682,"marketCap":126928313064},{"date":"2022-07-08","current":22.884202,"twenty":13.206,"median":15.802978,"eighty":23.350682,"marketCap":126343680102},{"date":"2022-07-15","current":22.794601,"twenty":13.283109,"median":15.883366,"eighty":23.350682,"marketCap":125848990674},{"date":"2022-07-22","current":20.64291,"twenty":13.311034,"median":17.68837,"eighty":23.350682,"marketCap":115352580431},{"date":"2022-07-29","current":21.139398,"twenty":13.364592,"median":18.067894,"eighty":23.350682,"marketCap":118126958368},{"date":"2022-08-05","current":21.412551,"twenty":13.413823,"median":18.436302,"eighty":23.350682,"marketCap":119653333165},{"date":"2022-08-12","current":21.659842,"twenty":13.445367,"median":18.610979,"eighty":23.350682,"marketCap":121035199105},{"date":"2022-08-19","current":22.364543,"twenty":13.495795,"median":18.90667,"eighty":23.350682,"marketCap":124973065444},{"date":"2022-08-26","current":21.073131,"twenty":13.572204,"median":18.987965,"eighty":23.350682,"marketCap":117756654424},{"date":"2022-09-02","current":20.654513,"twenty":13.611473,"median":19.03973,"eighty":23.350682,"marketCap":115417417309},{"date":"2022-09-09","current":20.880793,"twenty":13.626859,"median":19.087369,"eighty":23.350682,"marketCap":116681869804},{"date":"2022-09-16","current":20.570466,"twenty":13.680539,"median":19.123457,"eighty":23.350682,"marketCap":114947763526},{"date":"2022-09-23","current":19.83344,"twenty":13.733713,"median":19.184131,"eighty":23.350682,"marketCap":110829261116},{"date":"2022-09-30","current":19.203088,"twenty":13.768223,"median":19.203088,"eighty":23.350682,"marketCap":107306857739},{"date":"2022-10-07","current":19.204705,"twenty":13.792556,"median":19.239814,"eighty":23.350682,"marketCap":107315889543},{"date":"2022-10-14","current":19.401891,"twenty":13.80745,"median":19.25576,"eighty":23.350682,"marketCap":108417769574},{"date":"2022-10-21","current":92.966028,"twenty":13.833064,"median":19.290629,"eighty":23.36059,"marketCap":117323127854},{"date":"2022-10-28","current":99.231809,"twenty":13.867404,"median":19.309684,"eighty":23.37895,"marketCap":125230542539},{"date":"2022-11-04","current":98.121352,"twenty":13.887865,"median":19.401891,"eighty":23.406422,"marketCap":123829146676},{"date":"2022-11-11","current":102.570342,"twenty":13.922108,"median":19.413568,"eighty":23.426008,"marketCap":129443771390},{"date":"2022-11-18","current":105.772755,"twenty":13.933816,"median":19.485299,"eighty":23.443012,"marketCap":133485216233},{"date":"2022-11-25","current":106.295744,"twenty":13.947331,"median":19.532,"eighty":23.45951,"marketCap":134145228478},{"date":"2022-12-02","current":106.510671,"twenty":13.960448,"median":19.61775,"eighty":23.494174,"marketCap":134416466387},{"date":"2022-12-09","current":105.350065,"twenty":13.98447,"median":19.662213,"eighty":23.510259,"marketCap":132951781679},{"date":"2022-12-16","current":100.413907,"twenty":13.998328,"median":19.684741,"eighty":23.533683,"marketCap":126722351038},{"date":"2022-12-23","current":101.481378,"twenty":14.014308,"median":19.727507,"eighty":23.568208,"marketCap":128069499318},{"date":"2022-12-30","current":100.936896,"twenty":14.031986,"median":19.755858,"eighty":23.591332,"marketCap":127382363283},{"date":"2023-01-06","current":102.950046,"twenty":14.046463,"median":19.81833,"eighty":23.62442,"marketCap":129922958363},{"date":"2023-01-13","current":104.519014,"twenty":14.063567,"median":19.850897,"eighty":23.646157,"marketCap":131902995098},{"date":"2023-01-20","current":101.158988,"twenty":14.06816,"median":19.893495,"eighty":23.655927,"marketCap":127662642455},{"date":"2023-01-27","current":74.133949,"twenty":14.06816,"median":19.893495,"eighty":23.655927,"marketCap":121505541923},{"date":"2023-02-03","current":75.540613,"twenty":14.06816,"median":19.893495,"eighty":23.655927,"marketCap":123811064149},{"date":"2023-02-10","current":74.801425,"twenty":14.06816,"median":19.893495,"eighty":23.655927,"marketCap":122599534822},{"date":"2023-02-17","current":74.481477,"twenty":14.06816,"median":19.893495,"eighty":23.655927,"marketCap":122075141532},{"date":"2023-02-24","current":72.026711,"twenty":14.06816,"median":19.893495,"eighty":23.655927,"marketCap":118051779216},{"date":"2023-03-03","current":71.749342,"twenty":14.06816,"median":19.893495,"eighty":23.655927,"marketCap":117597171410},{"date":"2023-03-10","current":69.430384,"twenty":14.06816,"median":19.893495,"eighty":23.655927,"marketCap":113796398899},{"date":"2023-03-17","current":68.456311,"twenty":14.06816,"median":19.893495,"eighty":23.655927,"marketCap":112199893024},{"date":"2023-03-24","current":69.341832,"twenty":14.06816,"median":19.893495,"eighty":23.655927,"marketCap":113651262002},{"date":"2023-03-31","current":72.551845,"twenty":14.068386,"median":19.896158,"eighty":23.661029,"marketCap":118912474545},{"date":"2023-04-06","current":73.132969,"twenty":14.068386,"median":19.896158,"eighty":23.661029,"marketCap":119864935437},{"date":"2023-04-14","current":70.786338,"twenty":14.06816,"median":19.893495,"eighty":23.655927,"marketCap":116018807646},{"date":"2023-04-21","current":62.532387,"twenty":14.06816,"median":19.893495,"eighty":23.661998,"marketCap":114621865005},{"date":"2023-04-28","current":62.89936,"twenty":14.06816,"median":19.893495,"eighty":23.678332,"marketCap":115294526215},{"date":"2023-05-05","current":60.719654,"twenty":14.06816,"median":19.893495,"eighty":23.728789,"marketCap":111299126393},{"date":"2023-05-12","current":59.892357,"twenty":14.06816,"median":19.893495,"eighty":23.776045,"marketCap":109782690552},{"date":"2023-05-24","current":63.498779,"twenty":14.06734,"median":19.841521,"eighty":23.81202,"marketCap":116393261166},{"date":"2023-06-02","current":64.311214,"twenty":14.065407,"median":19.830583,"eighty":23.833645,"marketCap":117882455645},{"date":"2023-06-07","current":65.732977,"twenty":14.061728,"median":19.825956,"eighty":23.854246,"marketCap":120488545983},{"date":"2023-06-14","current":68.165329,"twenty":14.05796,"median":19.81833,"eighty":23.884191,"marketCap":124947048966},{"date":"2023-06-23","current":64.979987,"twenty":14.057467,"median":19.761174,"eighty":23.908764,"marketCap":119108316954},{"date":"2023-06-30","current":66.411658,"twenty":14.057058,"median":19.755858,"eighty":23.915909,"marketCap":121732568200},{"date":"2023-07-07","current":65.470421,"twenty":14.057058,"median":19.755858,"eighty":23.92944,"marketCap":120007281914},{"date":"2023-07-14","current":66.342303,"twenty":14.057058,"median":19.755858,"eighty":23.966987,"marketCap":121605441842},{"date":"2023-07-21","current":62.052012,"twenty":14.057058,"median":19.755858,"eighty":23.989134,"marketCap":125655324389},{"date":"2023-07-28","current":64.31929,"twenty":14.057058,"median":19.755858,"eighty":24.002144,"marketCap":130246562132},{"date":"2023-08-04","current":64.985112,"twenty":14.057058,"median":19.755858,"eighty":24.048119,"marketCap":131594851368},{"date":"2023-08-11","current":64.445256,"twenty":14.057058,"median":19.755858,"eighty":24.065615,"marketCap":130501643880},{"date":"2023-08-18","current":63.280068,"twenty":14.057058,"median":19.755858,"eighty":24.084849,"marketCap":128142137718},{"date":"2023-08-25","current":64.58022,"twenty":14.057058,"median":19.755858,"eighty":24.159725,"marketCap":130774945752},{"date":"2023-09-01","current":66.055825,"twenty":14.057058,"median":19.755858,"eighty":24.212069,"marketCap":133763046219},{"date":"2023-09-08","current":66.366242,"twenty":14.056922,"median":19.75421,"eighty":24.218296,"marketCap":134391640524},{"date":"2023-09-15","current":66.289763,"twenty":14.056922,"median":19.75421,"eighty":24.270687,"marketCap":134236769464},{"date":"2023-09-22","current":66.303259,"twenty":14.056095,"median":19.752562,"eighty":24.342059,"marketCap":134264099651},{"date":"2023-09-29","current":63.693957,"twenty":14.056095,"median":19.752562,"eighty":24.418245,"marketCap":128980263459},{"date":"2023-10-06","current":63.666964,"twenty":14.056095,"median":19.752562,"eighty":24.601316,"marketCap":128925603084},{"date":"2023-10-13","current":63.540998,"twenty":14.056095,"median":19.752562,"eighty":24.773952,"marketCap":128670521337},{"date":"2023-10-19","current":62.969651,"twenty":14.055267,"median":19.747081,"eighty":24.959386,"marketCap":127513543412},{"date":"2023-10-27","current":18.914826,"twenty":14.052034,"median":19.723903,"eighty":25.004284,"marketCap":130966257062},{"date":"2023-11-03","current":19.387285,"twenty":14.052034,"median":19.723903,"eighty":25.004284,"marketCap":134237562592},{"date":"2023-11-10","current":19.335853,"twenty":14.052034,"median":19.719988,"eighty":25.004284,"marketCap":133881446346},{"date":"2023-11-17","current":20.185143,"twenty":14.052034,"median":19.737636,"eighty":25.004284,"marketCap":139761930007},{"date":"2023-11-24","current":20.464723,"twenty":14.052034,"median":19.761174,"eighty":25.004284,"marketCap":141697741399},{"date":"2023-12-01","current":20.910468,"twenty":14.051283,"median":19.83344,"eighty":25.006918,"marketCap":144784082203},{"date":"2023-12-08","current":21.129385,"twenty":14.051283,"median":19.850897,"eighty":25.006918,"marketCap":146299859047},{"date":"2023-12-15","current":21.484135,"twenty":14.051283,"median":20.03756,"eighty":25.006918,"marketCap":148756148030},{"date":"2023-12-22","current":21.203236,"twenty":14.051283,"median":20.129949,"eighty":25.006918,"marketCap":146811205453},{"date":"2023-12-29","current":21.594912,"twenty":14.050533,"median":20.177672,"eighty":25.009553,"marketCap":149523167638},{"date":"2024-01-05","current":21.213786,"twenty":14.049782,"median":20.209811,"eighty":25.012187,"marketCap":146884254939},{"date":"2024-01-12","current":21.385227,"twenty":14.049782,"median":20.284383,"eighty":25.012187,"marketCap":148071309094},{"date":"2024-01-19","current":22.002412,"twenty":14.049031,"median":20.323847,"eighty":25.014821,"marketCap":152344704054},{"date":"2024-01-26","current":23.178509,"twenty":14.059888,"median":20.399202,"eighty":25.012187,"marketCap":173885171379},{"date":"2024-02-02","current":22.796061,"twenty":14.071142,"median":20.464723,"eighty":25.012187,"marketCap":171016050437},{"date":"2024-02-09","current":22.486259,"twenty":14.083946,"median":20.554263,"eighty":25.012187,"marketCap":168691915776},{"date":"2024-02-16","current":22.792402,"twenty":14.087906,"median":20.605416,"eighty":25.012187,"marketCap":170988600028},{"date":"2024-02-23","current":22.467964,"twenty":14.087906,"median":20.641582,"eighty":25.012187,"marketCap":168554663729},{"date":"2024-03-01","current":22.610677,"twenty":14.090543,"median":20.675674,"eighty":25.009553,"marketCap":169625299225},{"date":"2024-03-08","current":24.0172,"twenty":14.113159,"median":20.762804,"eighty":25.009553,"marketCap":180177032425},{"date":"2024-03-15","current":23.637158,"twenty":14.122932,"median":20.852329,"eighty":25.009553,"marketCap":177325955948},{"date":"2024-03-22","current":23.450191,"twenty":14.122932,"median":20.880581,"eighty":25.009553,"marketCap":175923336331},{"date":"2024-03-28","current":23.315771,"twenty":14.122932,"median":20.92847,"eighty":25.009553,"marketCap":174914916998},{"date":"2024-04-05","current":22.966279,"twenty":14.122338,"median":20.985272,"eighty":25.012187,"marketCap":172293026733},{"date":"2024-04-12","current":22.716991,"twenty":14.122338,"median":21.061817,"eighty":25.012187,"marketCap":170422867243},{"date":"2024-04-19","current":22.175645,"twenty":14.122338,"median":21.113559,"eighty":25.012187,"marketCap":166361687566},{"date":"2024-04-26","current":18.929997,"twenty":14.122932,"median":21.126256,"eighty":25.009553,"marketCap":154847372275},{"date":"2024-05-03","current":18.494459,"twenty":14.122932,"median":21.126256,"eighty":25.009553,"marketCap":151284673063},{"date":"2024-05-10","current":18.671891,"twenty":14.129431,"median":21.126256,"eighty":25.009553,"marketCap":152736065275},{"date":"2024-05-17","current":18.975097,"twenty":14.151554,"median":21.126256,"eighty":25.009553,"marketCap":155216292474},{"date":"2024-05-24","current":19.166005,"twenty":14.166626,"median":21.126256,"eighty":25.009553,"marketCap":156777917006},{"date":"2024-05-31","current":18.60002,"twenty":14.178979,"median":21.126256,"eighty":25.009553,"marketCap":152148159569},{"date":"2024-06-07","current":18.888627,"twenty":14.197468,"median":21.126256,"eighty":25.009553,"marketCap":154508968421},{"date":"2024-06-14","current":18.991942,"twenty":14.211093,"median":21.129385,"eighty":25.012187,"marketCap":155354082873},{"date":"2024-06-21","current":19.530975,"twenty":14.22453,"median":21.133341,"eighty":25.014821,"marketCap":159763375670},{"date":"2024-06-28","current":19.186218,"twenty":14.236373,"median":21.139398,"eighty":25.035082,"marketCap":156943265486},{"date":"2024-07-05","current":19.734236,"twenty":14.239255,"median":21.139398,"eighty":25.035082,"marketCap":161426046496},{"date":"2024-07-12","current":20.023966,"twenty":14.239255,"median":21.139398,"eighty":25.035082,"marketCap":163796041374},{"date":"2024-07-15","current":20.531556,"twenty":14.239255,"median":21.139398,"eighty":25.035082,"marketCap":167948125424},{"date":"2024-08-02","current":20.724195,"twenty":14.225503,"median":21.229611,"eighty":25.101002,"marketCap":174704966663},{"date":"2024-08-09","current":21.046543,"twenty":14.236825,"median":21.229611,"eighty":25.101002,"marketCap":177422353838},{"date":"2024-08-16","current":21.192965,"twenty":14.297416,"median":21.229611,"eighty":25.101002,"marketCap":178656692420},{"date":"2024-08-23","current":21.412598,"twenty":14.329561,"median":21.258368,"eighty":25.101002,"marketCap":180508200292},{"date":"2024-08-30","current":21.733852,"twenty":14.371179,"median":21.290637,"eighty":25.101002,"marketCap":183216375985},{"date":"2024-09-06","current":22.13706,"twenty":14.405996,"median":21.303324,"eighty":25.101002,"marketCap":186615412825},{"date":"2024-09-13","current":23.122677,"twenty":14.406762,"median":21.363988,"eighty":25.101002,"marketCap":194924169543},{"date":"2024-09-20","current":23.371813,"twenty":14.406762,"median":21.395434,"eighty":25.101002,"marketCap":197024387428},{"date":"2024-09-27","current":24.414252,"twenty":14.439521,"median":21.421247,"eighty":25.101002,"marketCap":205812141208},{"date":"2024-10-04","current":24.33667,"twenty":14.478736,"median":21.444706,"eighty":25.101002,"marketCap":205158125990},{"date":"2024-10-11","current":25.462153,"twenty":14.494528,"median":21.515869,"eighty":25.154585,"marketCap":214645952398},{"date":"2024-10-18","current":25.446855,"twenty":14.50201,"median":21.543869,"eighty":25.377983,"marketCap":214516991651},{"date":"2024-10-25","current":31.447484,"twenty":14.50201,"median":21.591983,"eighty":25.448603,"marketCap":201169554306},{"date":"2024-10-31","current":29.504966,"twenty":14.50201,"median":21.652977,"eighty":25.497338,"marketCap":188743265155},{"date":"2024-11-08","current":30.887513,"twenty":14.501954,"median":21.697232,"eighty":25.985759,"marketCap":197587422530},{"date":"2024-11-15","current":30.208159,"twenty":14.501954,"median":21.733852,"eighty":30.042223,"marketCap":193241590316},{"date":"2024-11-22","current":32.146488,"twenty":14.501954,"median":21.801138,"eighty":30.336875,"marketCap":205641081804},{"date":"2024-11-29","current":32.870651,"twenty":14.501954,"median":21.893699,"eighty":30.743096,"marketCap":210273554016},{"date":"2024-12-06","current":33.931601,"twenty":14.501954,"median":21.917882,"eighty":30.954708,"marketCap":217060449432},{"date":"2024-12-13","current":33.571687,"twenty":14.501954,"median":21.993916,"eighty":32.758485,"marketCap":214758083003},{"date":"2024-12-20","current":32.366194,"twenty":14.501954,"median":22.002412,"eighty":32.952752,"marketCap":207046542435},{"date":"2024-12-27","current":32.506401,"twenty":14.501954,"median":22.034268,"eighty":32.952752,"marketCap":207943448233},{"date":"2025-01-03","current":31.790911,"twenty":14.501954,"median":22.110372,"eighty":32.952752,"marketCap":203366454730},{"date":"2025-01-10","current":32.259232,"twenty":14.501897,"median":22.150288,"eighty":32.993802,"marketCap":206362305023},{"date":"2025-01-17","current":32.184069,"twenty":14.501897,"median":22.201998,"eighty":32.993802,"marketCap":205881489544},{"date":"2025-01-24","current":32.672626,"twenty":14.543035,"median":22.251702,"eighty":32.993802,"marketCap":209006790158},{"date":"2025-01-31","current":39.649361,"twenty":14.670934,"median":22.29934,"eighty":33.098741,"marketCap":238808103407},{"date":"2025-02-07","current":38.907864,"twenty":18.520961,"median":22.346185,"eighty":33.441598,"marketCap":234342067322},{"date":"2025-02-14","current":39.790599,"twenty":18.667174,"median":22.370998,"eighty":34.21693,"marketCap":239658776946},{"date":"2025-02-21","current":40.64263,"twenty":18.7548,"median":22.38416,"eighty":38.840316,"marketCap":244790557540},{"date":"2025-02-28","current":38.985746,"twenty":18.795194,"median":22.415271,"eighty":39.341221,"marketCap":234811146792},{"date":"2025-03-07","current":38.286795,"twenty":18.907104,"median":22.467964,"eighty":39.364393,"marketCap":230601366725},{"date":"2025-03-14","current":37.841868,"twenty":18.968814,"median":22.500697,"eighty":39.62964,"marketCap":227921572805},{"date":"2025-03-21","current":37.460063,"twenty":18.98669,"median":22.563015,"eighty":39.62964,"marketCap":225621957262},{"date":"2025-03-28","current":37.904989,"twenty":19.004466,"median":22.618656,"eighty":39.62964,"marketCap":228301751181},{"date":"2025-04-04","current":37.486235,"twenty":19.042392,"median":22.652137,"eighty":39.62964,"marketCap":225779592198},{"date":"2025-04-11","current":35.340117,"twenty":19.085823,"median":22.681377,"eighty":39.609919,"marketCap":212853527410},{"date":"2025-04-17","current":36.728782,"twenty":19.127449,"median":22.720453,"eighty":39.609919,"marketCap":221217451685},{"date":"2025-04-25","current":38.105594,"twenty":19.176797,"median":22.780022,"eighty":39.62964,"marketCap":208551916544},{"date":"2025-05-02","current":39.822032,"twenty":19.203411,"median":22.825334,"eighty":39.787913,"marketCap":217945983164},{"date":"2025-05-09","current":42.228037,"twenty":19.257673,"median":22.886318,"eighty":40.173183,"marketCap":231114045570},{"date":"2025-05-16","current":44.31169,"twenty":19.307965,"median":22.934732,"eighty":40.546834,"marketCap":242517878621},{"date":"2025-05-23","current":42.930896,"twenty":19.405553,"median":22.970545,"eighty":41.401887,"marketCap":234960793082},{"date":"2025-05-30","current":42.984067,"twenty":19.418747,"median":22.998051,"eighty":42.213083,"marketCap":235251799986},{"date":"2025-06-06","current":44.341599,"twenty":19.481413,"median":23.054952,"eighty":42.982073,"marketCap":242681570004},{"date":"2025-06-13","current":46.696093,"twenty":19.521832,"median":23.100323,"eighty":43.827498,"marketCap":255567719472},{"date":"2025-06-20","current":47.058323,"twenty":19.559959,"median":23.112355,"eighty":44.324983,"marketCap":257550204005},{"date":"2025-06-27","current":48.507243,"twenty":19.641102,"median":23.146953,"eighty":45.208957,"marketCap":265480142139},{"date":"2025-07-03","current":48.51389,"twenty":19.663487,"median":23.19438,"eighty":46.696093,"marketCap":265516518002},{"date":"2025-07-11","current":47.759521,"twenty":19.695837,"median":23.255467,"eighty":47.759521,"marketCap":261387857552},{"date":"2025-07-18","current":47.887783,"twenty":19.734236,"median":23.270846,"eighty":47.887783,"marketCap":262089834150},{"date":"2025-07-25","current":41.602962,"twenty":19.757259,"median":23.30887,"eighty":48.136705,"marketCap":242670077733},{"date":"2025-08-01","current":40.427584,"twenty":19.818459,"median":23.338367,"eighty":48.136705,"marketCap":235814096112},{"date":"2025-08-08","current":39.950086,"twenty":19.850897,"median":23.36104,"eighty":48.136705,"marketCap":233028853578},{"date":"2025-08-15","current":37.866026,"twenty":19.971186,"median":23.402936,"eighty":48.136705,"marketCap":220872527470},{"date":"2025-08-22","current":38.231734,"twenty":20.059483,"median":23.431821,"eighty":48.136705,"marketCap":223005706534},{"date":"2025-08-29","current":39.242624,"twenty":20.162724,"median":23.452538,"eighty":48.136705,"marketCap":228902223336},{"date":"2025-09-05","current":39.474186,"twenty":20.190833,"median":23.486547,"eighty":48.151327,"marketCap":230252926237},{"date":"2025-09-12","current":41.044019,"twenty":20.261487,"median":23.519061,"eighty":48.136705,"marketCap":239409760386},{"date":"2025-09-19","current":42.320007,"twenty":20.323174,"median":23.564457,"eighty":48.136705,"marketCap":246852599130},{"date":"2025-09-26","current":44.945444,"twenty":20.380497,"median":23.616899,"eighty":48.136705,"marketCap":262166775468},{"date":"2025-10-03","current":45.78865,"twenty":20.413686,"median":23.667986,"eighty":48.136705,"marketCap":267085197066},{"date":"2025-10-10","current":46.029794,"twenty":20.48157,"median":23.701484,"eighty":48.136705,"marketCap":268491791121},{"date":"2025-10-17","current":44.071895,"twenty":20.567233,"median":23.753132,"eighty":48.136705,"marketCap":257071365214},{"date":"2025-10-24","current":33.691607,"twenty":20.626198,"median":23.818427,"eighty":48.136705,"marketCap":266399533710},{"date":"2025-10-31","current":36.654104,"twenty":20.64291,"median":23.857702,"eighty":48.136705,"marketCap":289823997972},{"date":"2025-11-07","current":36.933094,"twenty":20.69055,"median":23.908764,"eighty":48.136705,"marketCap":292029973058},{"date":"2025-11-14","current":36.03938,"twenty":20.724195,"median":23.923739,"eighty":48.136705,"marketCap":284963374901},{"date":"2025-11-21","current":34.329974,"twenty":20.792601,"median":23.942762,"eighty":48.136705,"marketCap":271447103822},{"date":"2025-11-28","current":36.479144,"twenty":20.869179,"median":23.971572,"eighty":48.136705,"marketCap":288440589867},{"date":"2025-12-05","current":36.409396,"twenty":20.885642,"median":23.991466,"eighty":48.136705,"marketCap":287889096095},{"date":"2025-12-12","current":36.734491,"twenty":20.943828,"median":24.013576,"eighty":48.136705,"marketCap":290459617912},{"date":"2025-12-19","current":35.518046,"twenty":20.989595,"median":24.057305,"eighty":48.136705,"marketCap":280841192642},{"date":"2025-12-26","current":36.003915,"twenty":21.03711,"median":24.076863,"eighty":48.136705,"marketCap":284682954339},{"date":"2026-01-02","current":35.01681,"twenty":21.073131,"median":24.089636,"eighty":48.136705,"marketCap":276877915369},{"date":"2026-01-09","current":35.786397,"twenty":21.123127,"median":24.139763,"eighty":48.136705,"marketCap":282963041560},{"date":"2026-01-16","current":35.222506,"twenty":21.170183,"median":24.171292,"eighty":48.136705,"marketCap":278504354627},{"date":"2026-01-23","current":34.834757,"twenty":21.201679,"median":24.20635,"eighty":48.136705,"marketCap":275438423152},{"date":"2026-01-30","current":27.287597,"twenty":21.252747,"median":24.222455,"eighty":48.136705,"marketCap":289057515103},{"date":"2026-02-06","current":25.580137,"twenty":21.278195,"median":24.310789,"eighty":48.136705,"marketCap":270970388867},{"date":"2026-02-13","current":22.900262,"twenty":21.302388,"median":24.346189,"eighty":48.136705,"marketCap":242582480661},{"date":"2026-02-20","current":22.614362,"twenty":21.35514,"median":24.346189,"eighty":48.136705,"marketCap":239553938593},{"date":"2026-02-26","current":20.960729,"twenty":21.358851,"median":24.346189,"eighty":48.136705,"marketCap":222037000833}],"updateTime":1772267916219},"$inf$@#url:\"https://stock-news.skytigris.cn/v2/news/list\",params:#symbols:\"IBM\",pageSize:20,pageCount:1,lang_content:\"cn\",edition:\"fundamental\",,,undefined,":[{"items":[{"id":"2614709262","title":"IBM遭受重創：核心業務被Anthropic擊穿","url":"https://stock-news.laohu8.com/highlight/detail?id=2614709262","media":"EEPW","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2614709262?lang=zh_tw&edition=fundamental","pubTime":"2026-02-26 10:26","pubTimestamp":1772072777,"startTime":"0","endTime":"0","summary":"导语News Today由于Anthropic的Claude Code可能颠覆IBM的关键业务，IBM股价大跌，成为最新一家因担忧AI新功能而遭受重创的大型软件公司。COBOL现代化向来是复杂又烧钱的过程，对IBM来说却是利润丰厚的护城河，但Anthropic的最新公告让IBM的这块业务备受质疑。此前，IBM一直被视为AI领域的低调赢家，截至2025年底，其生成式AI业务的累计收入超过125亿美元。从传统Saas领域，到网络安全，再到软件咨询，股价纷纷遭受Anthropic的重创。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN2026022610444595420806&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN2026022610444595420806&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-2","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["BK4612","BK4575","BK4602","LU1674673428.USD","LU1430594728.SGD","BK4134","BK4579","LU1880398554.USD","BK4588","LU1880398471.USD","LU1894683348.USD","IBM","BK4538","LU0321505439.SGD","LU1585245621.USD","BK4543","LU1674673691.USD","LU1778281490.HKD","LU0868494617.USD","BK4585","LU0321505868.SGD","LU1883839398.USD","BK4533","LU1894683264.USD","BK4534"],"gpt_icon":1},{"id":"2614251058","title":"人工智能-企業人工智能的秘密武器","url":"https://stock-news.laohu8.com/highlight/detail?id=2614251058","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2614251058?lang=zh_tw&edition=fundamental","pubTime":"2026-02-26 03:35","pubTimestamp":1772048152,"startTime":"0","endTime":"0","summary":"FDE 首先由Palantir PLTR.O推广，将工程师嵌入到政府和军方客户中，目前已成为人工智能最热门的市场战略。这座桥梁是成为人工智能经济的一个永久性层级，还是随着工具的成熟而逐渐消失，将在很大程度上决定企业人工智能周期的耐久性。在受人工智能影响最大的 10%行业中，工资增长了 8.5%，超过了 7.5% 的平均工资增幅。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260225:nL4T3ZL1ZX:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU0107464264.USD","LU0109391861.USD","LU0048578792.EUR","LU0496365809.HKD","IE00BHPRN162.USD","LU2089283258.USD","LU0950375773.USD","LU0738911758.USD","LU1629891620.HKD","LU1506573853.SGD","LU0077335932.USD","LU0256863811.USD","LU0823421333.USD","LU0823417653.USD","LU1868836757.USD","LU1989764664.SGD","LU1481599808.USD","IE00BSNM7G36.USD","LU0742534661.SGD","LU2089284900.SGD","LU0175139822.USD","LU1119994140.HKD","LU0550127509.SGD","LU2381873111.SGD","LU1894683348.USD","LU0477156953.USD","LU2023250843.SGD","LU1880407132.USD","SG9999015978.USD","LU2168564495.EUR","LU2404859667.USD","LU1066051498.USD","LU0969580488.USD","LU1823568750.SGD","BK4533","IE00BQXX3D17.EUR","BK4598","LU2097344357.USD","LU2098885051.SGD","LU1852331112.SGD","LU0029864427.USD","LU1883839398.USD","IE00B1BXHZ80.USD","LU1121112475.USD","LU1323610961.USD","BK4573","BK4585","LU2210149790.SGD","BK4538","IE00BJTD4N35.SGD","LU1116320737.USD","BK4527","LU0342679015.USD","LU0994945656.USD","LU1235294995.USD","LU1720051108.HKD","LU1232071149.USD","LU1355424745.HKD","IE00BFMHRM44.USD","BK4503","LU0124676726.USD","LU0251131958.USD","LU0648001328.SGD","LU0868494617.USD","LU1829250122.USD","IE00BZ1G4Q59.USD","IE00BKPKM643.USD","IE00B19Z9P08.USD","LU2087625088.SGD","LU2264538146.SGD","LU1429558221.USD","LU1923622614.USD","LU2506952097.USD","IE0002270589.USD","LU1720051017.SGD","LU1791806182.HKD","LU1303367103.USD","LU1221951046.USD","LU1509826696.USD","LU0348723411.USD","LU0006306889.USD","LU0708994859.HKD","LU0171293334.USD","LU2054465674.USD","LU1699723380.USD","LU0345774391.USD","SGXZ81514606.USD","GOU","LU0757428197.USD","LU0047473722.EUR","IE00BLSP4239.USD","IE0034235303.USD","LU2420271590.USD","LU0171280430.USD","LU2095319765.USD","LU1934455863.HKD","IE00BKDWB100.SGD","PLTZ","LU1880398471.USD","GGLS","LU0426417589.USD","LU0997587240.USD","LU1267930813.SGD","LU1481600234.SGD","LU0097036916.USD","LU1920063259.USD","LU1633808545.USD","LU1868837136.USD","IBM","LU1551013425.SGD","IE00B7SZLL34.SGD","LU1868836591.USD","LU0061475181.USD","PLTG","LU1244550221.USD","SG9999014880.SGD","LU2250418816.HKD","LU0170899867.USD","LU1084165304.USD","LU0056508442.USD","LU1196500208.SGD","GB00B4LPDJ14.GBP","LU0320765489.SGD","BK4566","BK4543","LU0052756011.USD","LU1196525536.USD","LU1880398554.USD","LU2065171311.SGD","LU0130102774.USD","LU2092627202.USD","LU0823434740.USD","LU0345770993.USD","LU2028103732.USD","LU0949170772.SGD","LU2236285917.USD","LU1153585028.USD","LU0827878280.USD","GOOX","LU1585245621.USD","LU1599440770.SGD","LU2272731782.SGD","LU1316543591.SGD","LU0444971666.USD","LU0823417737.USD","LU2023251221.USD","BK4612","LU1496350171.SGD","BK4547","LU1066051225.USD","LU0256863902.USD","LU0969580561.USD","LU2491049909.HKD","LU0689472784.USD","LU2471134796.USD","IE00BBT3K403.USD","LU1066051811.HKD","LU0784385840.USD","LU2213496289.HKD","IE00B19Z3B42.SGD","LU0316494557.USD","LU2404859741.USD","LU1104425308.USD","LU1019634622.SGD","LU1804176565.USD","IE00BK4W5L77.USD","LU1718418525.SGD","GOOY","LU0345769631.USD","LU1078025761.USD","LU0321505868.SGD","LU0868494708.USD","LU1989773731.SGD","LU1951198990.SGD","IE00B19Z8W00.USD","LU1019632923.USD","IE00B19Z3581.USD","LU0096362180.USD","LU1670627923.USD","LU1732799900.SGD","BK4551","LU1935043023.USD","LU2293690082.USD","LU2746668974.SGD","LU0211326839.USD","LU0061474960.USD","LU0321505439.SGD","LU2756315664.SGD","LU2271345857.HKD","LU0345777659.USD","LU2293690249.USD","LU0081259029.USD","LU1032955483.USD","LU1791710400.SGD","LU0203347892.USD","BK4579","LU1244550577.SGD","LU1316542783.SGD","LU1674673428.USD","LU1778281490.HKD","IE00BKPKM429.USD","LU2168564065.EUR","LU0310799852.SGD","LU0353189763.USD","LU0976567544.SGD","LU1974910355.USD","LU0784383803.USD","LU0997586432.USD","IE00B1XK9C88.USD","BK4550","PLTY","LU1815333072.USD","SG9999014914.USD","BK4534","SG9999015986.USD","LU2471134952.CNY","LU0690374961.EUR","LU1221951129.SGD","LU0985320562.USD","LU2133065610.SGD","IE00BJLML261.HKD","LU0957808578.USD","LU2491050154.USD","IE00B19Z8X17.USD","LU0187121727.USD","SG9999015945.SGD","LU1868837300.USD","LU2471134523.USD","LU2491050071.SGD","LU1642822529.SGD","LU2506951958.HKD","LU2750360641.GBP","LU2097344431.USD","LU1066053197.SGD","OKTG","LU2401740654.USD","LU2430703178.SGD","LU2111349929.HKD","LU0943347566.SGD","LU0689626769.HKD","LU1988902786.USD","LU0963555726.SGD","LU1015430645.USD","LU0526926950.USD","LU2092937148.SGD","LU2430703095.HKD","LU1291149836.SGD","LU0772969993.USD","LU2168564222.USD","LU0477156797.USD","LU0208291251.USD","LU1280957306.USD","LU0171276677.USD","IE0004091025.USD","LU1496350502.SGD","LU1487256676.USD","LU1064131342.USD","PLTD","LU0784385170.HKD","IE00B19Z9Z06.USD","OKTX","LU0417517546.SGD","IE00BKVL7J92.USD","LU1934455277.USD","LU1815336760.USD","LU1868836914.USD","LU2242652126.USD","LU2065169927.USD","LU2506951875.HKD","LU0661504455.SGD","LU2362541273.HKD","BK4613","IE00BQXX3C00.GBP","LU0149725797.USD","LU0314106906.USD","LU1923622291.USD","LU2242650005.HKD","LU1435385759.SGD","IE00BQXX3F31.USD","LU1923623000.USD","LU0267386448.USD","LU1267930490.SGD","IE00BK4W5M84.HKD","LU1839511570.USD","PLOO","LU0731783048.USD","LU2125154935.USD","LU1037948897.HKD","LU2087621335.USD","CRWL","LU0820561818.USD","LU1935042215.USD","SG9999014906.USD","LU1366333091.USD","SG9999017495.SGD","LU2357305700.SGD","LU0557290698.USD","LU1674673691.USD","LU0225283273.USD","LU1935042488.USD","LU0887340254.USD","NETX","LU0957791311.USD","LU1917777945.USD","PTIR","LU1935042991.SGD","LU2275660780.HKD","LU2750360997.AUD","LU2286300806.USD","LU0158827948.USD","BK4116","LU1481011671.HKD","LU2063271972.USD","LU2360032135.SGD","IE00BMPRXR70.SGD","LU2362540622.SGD","LU1366192091.USD","BK4554","LU1043141123.HKD","LU1037948541.HKD","LU0964807845.USD","LU0784384876.USD","LU0130518102.USD","LU0997586606.USD","BK4560","LU0096364046.USD","LU1551013342.USD","LU1920062954.HKD","LU2456880835.USD","LU0642271901.SGD","LU1046421795.USD","BK4602","LU0211327993.USD","LU0127657111.USD","LU0965509101.SGD","LU0354030511.USD","LU0314104364.USD","LU1571399168.USD","LU2362541513.USD","LU1059921491.USD","BK5064","LU0106261372.USD","BK4592","LU1481011911.USD","IE00BWXC8680.SGD","LU0127658192.USD","LU1301847155.USD","LU0960981461.USD","LU0769137737.USD","LU1548497426.USD","LU0251142724.SGD","LU0265550359.USD","LU2191332357.HKD","LU0048573561.USD","LU0882574139.USD","PLTI","LU2125909916.SGD","IE00BZ9MQY76.HKD","LU2279689827.SGD","GOOW","PLYY","LU2462157665.USD","LU2592432038.USD","LU0345770308.USD","LU2403377893.USD","LU0289960550.SGD","LU0795875086.SGD","LU0323591593.USD","LU2125909759.SGD","LU1039938227.USD","LU2125154778.USD","LU0444973449.USD","LU1267930573.SGD","LU0640476718.USD","BK4514","LU2505996509.AUD","LU0011850046.USD","LU0997586515.USD","LU0648000940.SGD","LU2210150020.SGD","LU0683600562.USD","LU0965509283.SGD","LU2242646235.USD","LU0795875169.SGD","IE00BLSP4452.SGD","LU1934455194.USD","BK4532","LU0061474705.USD","PLTW","LU2602419157.SGD","LU0198837287.USD","LU2023250504.SGD","LU0154236417.USD","BK4134","BK4548","LU0128525689.USD","LU2471134879.HKD","LU2272731600.USD","LU2168564149.EUR","BK4581","BK4574","BK4561","LU0234570918.USD","LU2237438978.USD","LU0528227936.USD","LU2097829019.USD","PLTU","LU1267930227.SGD","LU0302445910.USD","LU1003077747.HKD","LU2023250330.USD","LU0965509010.AUD","BK4576","LU0130103400.USD","LU1430594728.SGD","LU0708995401.HKD","LU0823421416.USD","SG9999014898.SGD","LU1989763005.USD","SG9999015952.SGD","LU1119994496.HKD","LU0345774631.USD","LU0265550946.USD","LU0949170426.SGD","LU2433249047.HKD","LU1196032939.SGD","LU1914381329.SGD","LU2756315318.SGD","LU2347655156.SGD","LU0310800379.SGD","LU0070217475.USD","LU0889566641.SGD","LU2168563687.JPY","LU1261432733.SGD","LU2106854487.HKD","LU0553294199.USD","LU2539964713.USD","LU0466842654.USD","LU2417539215.USD","LU0312595415.SGD","LU0690374615.EUR","LU1992135399.USD","LU1273509221.SGD","LU1861559042.SGD","LU2326559502.SGD","LU2506952170.USD","BK4097","LU2746668461.USD","LU2244417387.USD","PLTA","LU0861579265.USD","LU2125909593.SGD","LU0211328371.USD","LU2211815571.USD","LU2247934214.USD","LU0788108743.HKD","LU0048584097.USD","LU1116320901.HKD","IE0004086264.USD","LU1732800096.USD","LU0787776722.HKD","LU1992135472.HKD","LU1989764748.USD","BK4023","LU0672654240.SGD","BK4607","LU1861558580.USD","LU0215105999.USD","LU0980610538.SGD","LU1670628061.USD","LU0713328705.USD","LU1267930730.SGD","LU0731783394.SGD","LU2242646821.SGD","LU2430703251.USD","SGXZ51526630.SGD","IE00B894F039.SGD","LU1803068623.USD","LU0345768740.USD","LU0345769128.USD","LU1244550494.USD","LU0345777147.USD","LU1894683264.USD","LU0820561909.HKD","LU0942090050.USD","IE00B19Z9505.USD","LU0965508806.USD","SG9999018857.SGD","LU1935043536.SGD","LU0130517989.USD","BK4588","IE00BJTD4V19.USD","LU0203345920.USD","LU0476273544.USD","LU2860962120.EUR","LU0080751232.USD","LU1951200564.SGD","LU2360106780.USD","BK4528","LU0094547139.USD","BK4077","LU0494093205.USD","LU0575583348.USD","LU1145028129.USD","GB00B4QBRK32.GBP","IE0001KFT4U8.USD","LU0310800965.SGD","LU0354030438.USD","LU0820562030.AUD","LU1201861249.SGD","LU2265009873.SGD","LU0320765059.SGD","GOOP","SGXZ99366536.SGD","LU2125909247.SGD","PLT","LU0210533765.USD","LU0426412945.USD","SG9999018865.SGD","LU1201861165.SGD","LU0070302665.USD","LU0234572021.USD","IE00BMPRXQ63.HKD","LU0251132253.USD","NETG","LU1880407215.USD","LU0345768153.USD","LU1791710582.SGD","LU2065170008.USD","IE00BN8TJ469.HKD","LU0128525929.USD","LU2077746001.SGD","LU0211331839.USD","LU0353189680.USD","LU0912757837.SGD","LU1043141396.HKD","LU0276348264.USD","LU0545039389.USD","LU2505996681.GBP","IE00BMPRXN33.USD","SGXZ31699556.SGD","LU0158827781.USD","LU2065171402.SGD","LU0211326755.USD","LU0171277485.USD","IE0034235188.USD","BK4575","LU0823434583.USD","SG9999000418.SGD","LU0742537680.HKD","LU0792757196.USD","LU2242649171.HKD","LU0157215616.USD"],"gpt_icon":1},{"id":"1135505719","title":"科技、媒體與電信行業綜述：市場動態聚焦","url":"https://stock-news.laohu8.com/highlight/detail?id=1135505719","media":"投资观察","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1135505719?lang=zh_tw&edition=fundamental","pubTime":"2026-02-26 01:29","pubTimestamp":1772040554,"startTime":"0","endTime":"0","summary":"企业债券市场普遍估值偏高，但投资级债券的低评级端和高收益债券的高评级端仍具投资价值。SanJac Alpha的Andrew Wells指出，在高收益债领域，BB级和B级债券\"实际上状况良好，因为任何看起来有风险的债券都已被挤入私人信贷领域\"。同时，为人工智能融资而累积的债务也引发担忧，因此他正规避科技板块风险。瑞银发布报告称，人工智能对IBM的颠覆风险可能已被市场充分定价。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU1868837136.USD","IE00BJTD4N35.SGD","LU0965508806.USD","LU1791710400.SGD","LU1066053197.SGD","LU2458330169.SGD","BK4543","LU0786609619.USD","LU2413666699.HKD","LU0234570918.USD","IE00B3SWFQ91.USD","LU1923623000.USD","LU0081259029.USD","IE00BQXX3F31.USD","LU2125909759.SGD","LU0289960550.SGD","IE00B19Z8W00.USD","NVDL","LU0128525929.USD","LU1244550494.USD","LU0265550359.USD","2NVD.UK","NFLU","LU2108987350.USD","LU0096364046.USD","LU2125154778.USD","LU1914381329.SGD","LU1868836757.USD","LU0957808578.USD","LU0225283273.USD","LU2213496289.HKD","LU0964807845.USD","LU0154236417.USD","LU0127658192.USD","LU1323610961.USD","LU1935042215.USD","LU0342679015.USD","BK4141","LU1064131342.USD","LU0266013472.USD","BK4567","LU2077746001.SGD","LU1861220033.SGD","LU0353189680.USD","LU0353189763.USD","LU0689626769.HKD","LU0557290698.USD","LU0210528500.USD","LU0466842654.USD","LU1720051108.HKD","LU1791710582.SGD","LU2264538146.SGD","LU1066051498.USD","LU0316494557.USD","LU0528227936.USD","LU2250418816.HKD","LU0256863811.USD","LU0823421416.USD","LU2592432038.USD","NVDS","LU2265009873.SGD","IE00BHPRN162.USD","LU1988902786.USD","IE00BJJMRY28.SGD","LU1119994496.HKD","NFLW","SG9999000418.SGD","SG9999002224.SGD","LU1821325948.USD","LU0444973449.USD","LU0823414478.USD","LU0472753341.HKD","IE00B3M56506.USD","LU0289961442.SGD","LU2430703095.HKD","LU0082616367.USD","LU2125909593.SGD","LU2746668461.USD","LU2054465674.USD","IE000YTNTUN2.SGD","HK0000320223.HKD","LU0061475181.USD","LU0823414551.USD","IE00BK4W5L77.USD","LU2168564149.EUR","SGXZ81514606.USD","LU1244550577.SGD","IE0034235303.USD","LU1951200564.SGD","LU2452424414.USD","BK4585","IE00BKVL7J92.USD","LU1934455194.USD","NVDX","LU0868494617.USD","LU2272731865.HKD","IE0003U64NQ7.SGD","BK4532","LU0985320562.USD","NVD","LU2360107168.USD","HK0000306685.HKD","LU2471134879.HKD","IE00BK4W5M84.HKD","LU0868494708.USD","IE00BJJMRX11.SGD","SG9999014542.SGD","IE00B1XK9C88.USD","IE00BQXX3C00.GBP","LU1633808545.USD","LU1127390331.HKD","LU0820562030.AUD","LU1861215975.USD","LU0211328371.USD","SG9999015341.SGD","LU0109392836.USD","LU1153585028.USD","LU1934455277.USD","LU1435385759.SGD","BK4108","LU2168564065.EUR","LU1066051225.USD","LU0251132253.USD","LU2461242641.AUD","LU1242518857.USD","LU2326559502.SGD","BK4602","NVDD","IBM","IE00B19Z8X17.USD","LU1145028129.USD","LU2420271590.USD","LU0345770993.USD","LU1244550221.USD","LU2168564495.EUR","LU0265550946.USD","BK4134","LU2403377893.USD","LU2361045086.USD","LU0276348264.USD","LU2023250330.USD","LU1935042991.SGD","LU2125909247.SGD","LU2065170008.USD","LU2237438978.USD","LU2125909916.SGD","IE00B1BXHZ80.USD","LU1868836591.USD","LU0274383776.USD","LU2236285917.USD","NVDY","SGXZ51526630.SGD","LU2462157665.USD","LU0203201768.USD","LU0719512351.SGD","LU2023251221.USD","BK4524","LU0158827948.USD","LU0494093205.USD","IE0009G5SDU7.USD","LU2361044949.HKD","BK4534","LU0979878070.USD","LU2543165471.USD","LU1935043023.USD","LU0175139822.USD","LU1267930490.SGD","LU1496350502.SGD","SMH","IE00BZ199S13.USD","LU2097344357.USD","LU1951198990.SGD","LU0417517546.SGD","SG9999014914.USD","LU2552382058.USD","LU1316542783.SGD","LU2430703251.USD","LU0320765059.SGD","SG9999015986.USD","LU0820561909.HKD","LU1917777945.USD","SG9999017495.SGD","LU2487616109.SGD","LU2602419157.SGD","LU1267930730.SGD","BK4612","SOXL","IE000KEQY171.SGD","LU2168563687.JPY","LU0096362180.USD","IE00B19Z9505.USD","SOXX","LU2471134952.CNY","NVD3.UK","LU2360032135.SGD","BK4549","LU1267930573.SGD","NVII","LU1674673691.USD","IE00BJTD4V19.USD","LU2417539215.USD","LU0957791311.USD","LU0965509101.SGD","LU2272731600.USD","LU2750360641.GBP","IE00BN29S564.USD","IE00BDRTCR15.USD","IE00BMPRXR70.SGD","IE00BYXW3230.USD","LU1989764748.USD","LU0308772762.SGD","LU0107464264.USD","LU0211327993.USD","LU0788109477.HKD","LU2106854487.HKD","LU0861579265.USD","LU0642271901.SGD","LU1894683348.USD","LU2023250504.SGD","LU0210536198.USD","3NVD.UK","IE0001KFT4U8.USD","LU0321505439.SGD","LU2361044865.SGD","LU0061474960.USD","IE00B775SV38.USD","LU2089283258.USD","NVDU","LU1496350171.SGD","IE00BKPKM429.USD","IE00BWXC8680.SGD","LU0889565833.HKD","SG9999014880.SGD","LU1720051017.SGD","LU2746668974.SGD","SG9999004303.SGD","LU0640476718.USD","BK4581","LU2097344431.USD","LU1548497426.USD","LU1712237335.SGD","NVIW.SI","LU0882574139.USD","LU1935042488.USD","LU0106261372.USD","IE00BFSS8Q28.SGD","LU2491049909.HKD","IE00BDCRKT87.USD","LU0345768153.USD","LU1839511570.USD","LU2362540622.SGD","LU2168564222.USD","LU1923622614.USD","LU2357125470.USD","LU2211815571.USD","IE0034235295.USD","LU0321505868.SGD","LU2271345857.HKD","IE00BMPRXN33.USD","LU0203202063.USD","LU1280957306.USD","LU1691799644.USD","LU0823421333.USD","LU1721428933.USD","SG9999014559.SGD","LU0187121727.USD","LU2491050154.USD","LU0310799852.SGD","LU2247934214.USD","LU1989764664.SGD","LU1046421795.USD","LU0094547139.USD","LU1718418525.SGD","LU1429558221.USD","IE0004445239.USD","LU1883839398.USD","NVDS.UK","NVDB","IE00B7KXQ091.USD","LU0198837287.USD","SG9999014567.USD","LU2473716301.USD","LU1935043536.SGD","SG9999014898.SGD","SNVD.UK","LU0965509283.SGD","LU1804176565.USD","LU1642822529.SGD","LU1430594728.SGD","IE0009356076.USD","LU1989772840.SGD","LU1868836914.USD","SG9999018857.SGD","IE000W1ABFV2.USD","LU1699723380.USD","LU2750360997.AUD","LU0029864427.USD","LU1992135472.HKD","SGXZ99366536.SGD","BK4605","BK4503","LU1116320901.HKD","LU0157215616.USD","LU0077335932.USD","LU1974910355.USD","LU1242518931.SGD","LU1934455863.HKD","LU2092937148.SGD","LU2125154935.USD","USD","LU0708995401.HKD","LU0390134368.USD","SG9999018865.SGD","LU1868837300.USD","LU0511384066.AUD","LU2381873111.SGD","LU2294711713.HKD","LU2471134796.USD","HK0000914660.USD","LU0170899867.USD","BK4566","LU2290526834.HKD","LU1035775433.USD","LU0053666078.USD","BK4592","HK0000320264.USD","LU0215105999.USD","LU0345769128.USD","LU1778281490.HKD","LU2242650005.HKD","LU0158827781.USD","NFLY","LU1852331112.SGD","IE0004091025.USD","LU2505996681.GBP","LU0061474705.USD","LU0823434740.USD","LU1037948541.HKD","LU2065171311.SGD","LU0079474960.USD","LU0056508442.USD","BK4548","LU2357305700.SGD","LU0943347566.SGD","SG9999014906.USD","SG9999015945.SGD","LU2111349929.HKD","LU0070217475.USD","LU1069344957.HKD","LU1116320737.USD","LU2237957811.SGD","HK0000306701.USD","IE00BD6J9T35.USD","LU2089985449.USD","LU2087621335.USD","LU1803068979.SGD","LU2087625088.SGD","BK4554","IE00B4JS1V06.HKD","LU2433249047.HKD","LU1037948897.HKD","LU2931357623.SGD","LU1571399168.USD","HK0000914686.HKD","BK4527","LU2896262040.SGD","LU2756315318.SGD","LU0354030511.USD","LU2413666426.HKD","IE0004086264.USD","BK4551","LU0267386448.USD","LU1551013342.USD","LU2272731782.SGD","BK4579","LU0072462426.USD","LU1923622291.USD","LU0708994859.HKD","LU2089284900.SGD","SOXS","LU0444971666.USD","LU0057025933.USD","LU1066051811.HKD","LU2362541273.HKD","LU0348723411.USD","LU1814569148.SGD","IE00B775H168.HKD","IE0005OL40V9.USD","LU0069063385.USD","NFXS","LU0256863902.USD","LU1084165304.USD","IE000ITXATA3.USD","LU1551013425.SGD","IE00BZ1G4Q59.USD","BK4535","LU1585245621.USD","LU0345768740.USD","LU0683600562.USD","LU1992135399.USD","LU2063271972.USD","LU1880398554.USD","LU2322448957.HKD","IE0034235188.USD","IE00BKDWB100.SGD","NVDW","IE00BMPRXQ63.HKD","IE00B4YYXB79.USD","LU1629891620.HKD","LU2552382215.SGD","LU2083900584.USD","LU2458330243.SGD","LU0345769631.USD","LU0048584097.USD","LU0347712357.USD","LU0011850046.USD","IE00B5949003.HKD","LU2065171402.SGD","NVDG","BK4587","LU0345770308.USD","NFLP","LU1674673428.USD","LU2491050071.SGD","LU2362541513.USD","BK4588","GB00BDT5M118.USD","LU0965509010.AUD","IE00BJLML261.HKD","LU0006306889.USD","LU0097036916.USD","SGXZ23171101.USD","LU2249611893.SGD","IE00BFSS7M15.SGD","LU0476273544.USD","LU0820561818.USD","LU1366192091.USD","LU2242649171.HKD","LU2860962120.EUR","LU1232071149.USD","LU0672654240.SGD","BK4598","LU1983260115.SGD","LU2286300806.USD","LU2456880835.USD","LU1823568750.SGD","LU2244417387.USD","LU2756315664.SGD","SG9999015952.SGD","BK4550","DIPS","LU0942090050.USD","SG9999002232.USD","LU0109391861.USD","LU2360106780.USD","BK4538","LU0354030438.USD","LU0080751232.USD","SG9999015358.SGD","LU2191332357.HKD","LU1815333072.USD","LU0289739343.SGD","NFLX","NVD2.UK","SGXZ31699556.SGD","SG9999015978.USD","IE00BQXX3D17.EUR","LU0689472784.USD","IE00B3S45H60.SGD","LU0823434583.USD","LU0724617625.USD","LU2065169927.USD","BK4529","ANV","BK4507","BK4533","LU1261432733.SGD","LU2505996509.AUD","LU2552382132.HKD","BK4614","LU1861127337.USD","LU0210533765.USD","LU0323591593.USD","LU2092627202.USD","LU1880398471.USD","SG9999001424.SGD","BK4575","LU1815336760.USD","LU1623119135.USD","LU0124676726.USD","LU0787776722.HKD","LU2028103732.USD","LU2463028550.USD","LU2322448791.USD","IE0004445015.USD","LU0310800379.SGD","LU2506951792.HKD","NVDQ","LU0234572021.USD","LU1366333091.USD","NVDA","LU0238689110.USD","LU2430703178.SGD","LU1894683264.USD","NFXL","LU1989772923.USD","LU2237957902.USD","BK4608","LU2471134523.USD","SG9999014575.USD"],"gpt_icon":1},{"id":"1160639987","title":"全球股市動態綜述：市場焦點對話","url":"https://stock-news.laohu8.com/highlight/detail?id=1160639987","media":"投资观察","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1160639987?lang=zh_tw&edition=fundamental","pubTime":"2026-02-25 23:53","pubTimestamp":1772034819,"startTime":"0","endTime":"0","summary":"美国东部时间10:46 - 牛肉价格持续走高可能对Bloomin' Brands构成挑战，这家正全力重振Outback Steakhouse品牌的企业面临压力。\"他特别指出，公司凭借独特的供应商合作关系，已锁定全年约75%的成本支出，这为其应对牛肉价格上涨构筑了缓冲屏障。然而大宗商品成本在2025年已侵蚀企业利润空间，这一趋势或将在今年延续。该公司股价当日微升0.6%。该股当日反弹3%，但年内累计跌幅仍达20%。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4538","BK4612","LU0321505439.SGD","LU1778281490.HKD","LU1430594728.SGD","BK4579","LU0321505868.SGD","BK4585","LU1880398554.USD","BK4588","LU1880398471.USD","LU1883839398.USD","LU1894683264.USD","BK4134","LU1674673428.USD","BK4575","LU1894683348.USD","BK4533","BK4602","BK4534","IBM","BK4543","LU0868494617.USD","LU1674673691.USD","LU1585245621.USD"],"gpt_icon":1},{"id":"2614092989","title":"IBM盤中異動 股價大漲3.00%報236.21美元","url":"https://stock-news.laohu8.com/highlight/detail?id=2614092989","media":"市场透视","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2614092989?lang=zh_tw&edition=fundamental","pubTime":"2026-02-25 23:01","pubTimestamp":1772031664,"startTime":"0","endTime":"0","summary":"北京时间2026年02月25日23时01分，IBM股票出现异动，股价大幅拉升3.00%。截至发稿，该股报236.21美元/股，成交量155.342万股，换手率0.17%，振幅2.21%。最近的财报数据显示，该股实现营业收入675.35亿美元，净利润105.71亿美元，每股收益11.36美元，毛利401.85亿美元，市盈率21.15倍。IBM股票所在的信息科技服务行业中，整体涨幅为0.36%。IBM公司简介：国际商业机器公司成立于1911年，是世界上历史最悠久的科技公司之一。国际商业机器公司在175个国家开展业务，拥有约300,000名员工。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260225230104a71ea046&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260225230104a71ea046&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["BK4538","BK4579","BK4533","LU0868494617.USD","BK4543","LU1674673428.USD","LU1883839398.USD","BK4534","LU1894683348.USD","LU1674673691.USD","BK4612","BK4585","LU1880398471.USD","BK4134","BK4602","BK4588","LU1585245621.USD","LU0321505868.SGD","LU0321505439.SGD","LU1778281490.HKD","BK4575","LU1894683264.USD","IBM","LU1880398554.USD","LU1430594728.SGD"],"gpt_icon":1},{"id":"2614209250","title":"AI挑戰67歲COBOL代碼：IBM股價單日暴跌13%或創最差月表現","url":"https://stock-news.laohu8.com/highlight/detail?id=2614209250","media":"ITBEAR科技资讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2614209250?lang=zh_tw&edition=fundamental","pubTime":"2026-02-25 22:27","pubTimestamp":1772029622,"startTime":"0","endTime":"0","summary":"全球科技市场近日因一则消息掀起波澜：IBM股价单日暴跌13%，创下2000年互联网泡沫破裂以来最大跌幅，本月累计跌幅更达27%，可能成为1968年以来的最差单月表现。迁移COBOL系统的技术难度堪称\"数字考古\"。Anthropic公司发布的《代码现代化手册》中，详细展示了其Claude AI助手解析COBOL代码的实操案例。面对挑战，IBM并非毫无准备。\"随着更多企业开始评估AI迁移方案，COBOL这头\"数字大象\"的转型之路，将成为观察传统行业数字化转型的重要样本。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260225225505a71e9c11&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260225225505a71e9c11&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-2","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["BK4575","BK4543","BK4579","BK4538","BK4585","LU1894683264.USD","LU1880398554.USD","BK4134","BK4602","LU1778281490.HKD","LU1674673691.USD","BK4533","LU0321505439.SGD","LU1883839398.USD","BK4612","LU1430594728.SGD","LU1880398471.USD","LU1585245621.USD","IBM","LU0868494617.USD","LU1894683348.USD","LU0321505868.SGD","LU1674673428.USD","BK4588","BK4534"],"gpt_icon":1},{"id":"1130778545","title":"IBM獲美國國防部給養局上限1.12億美元合同 期限最長五年","url":"https://stock-news.laohu8.com/highlight/detail?id=1130778545","media":"美股速递","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1130778545?lang=zh_tw&edition=fundamental","pubTime":"2026-02-25 22:03","pubTimestamp":1772028187,"startTime":"0","endTime":"0","summary":"IBM公司近日与美国国防部下属的给养局签订了一份价值上限达1.12亿美元的长期服务合同。该协议有效期最长为五年，标志着IBM在政府数字化服务领域再次获得重要突破。此次合作将聚焦于为美国军事基地的供应链管理系统提供核心技术支持，进一步巩固了IBM在国防信息技术解决方案领域的领先地位。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU1883839398.USD","BK4575","LU0321505868.SGD","LU1778281490.HKD","LU1674673428.USD","BK4533","LU1674673691.USD","BK4579","LU0321505439.SGD","BK4538","BK4534","BK4588","BK4602","IBM","LU1894683264.USD","BK4585","LU0868494617.USD","LU1894683348.USD","LU1430594728.SGD","LU1880398471.USD","LU1880398554.USD","BK4612","BK4134","LU1585245621.USD","BK4543"],"gpt_icon":0},{"id":"1106990079","title":"20/20 Biolabs推出Onetest長壽血液檢測及慢性病風險管理解決方案，集成IBM人工智能技術","url":"https://stock-news.laohu8.com/highlight/detail?id=1106990079","media":"美股速递","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1106990079?lang=zh_tw&edition=fundamental","pubTime":"2026-02-25 21:31","pubTimestamp":1772026277,"startTime":"0","endTime":"0","summary":"20/20 Biolabs公司近日推出了其创新产品——Onetest。该产品是一款集长寿血液检测与慢性疾病风险评估及管理于一体的综合解决方案。值得注意的是，此解决方案的核心能力构建于IBM先进的人工智能技术之上。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU1883839398.USD","BK4575","LU0321505868.SGD","LU1778281490.HKD","LU1674673428.USD","BK4533","LU1674673691.USD","AIDX","BK4579","LU0321505439.SGD","BK4538","BK4534","BK4588","BK4602","IBM","LU1894683264.USD","BK4585","LU0868494617.USD","LU1894683348.USD","LU1430594728.SGD","LU1880398471.USD","LU1880398554.USD","BK4612","BK4134","LU1585245621.USD","BK4543"],"gpt_icon":0},{"id":"2614623092","title":"Anthropic一天惹怒兩巨頭：五角大樓威脅封殺，IBM股價暴跌13%","url":"https://stock-news.laohu8.com/highlight/detail?id=2614623092","media":"Agent时代","labels":["policyRegulatory"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2614623092?lang=zh_tw&edition=fundamental","pubTime":"2026-02-25 17:56","pubTimestamp":1772013403,"startTime":"0","endTime":"0","summary":"2026年2月23日上午，五角大楼国防部长Pete Hegseth召见Anthropic CEO Dario Amodei，威胁将这家AI独角兽列为\"供应链风险\"。同日，Anthropic发布Claude Code工具宣布可自动化COBOL代码现代化，IBM股价暴跌13.2%，创下2000年以来最大单日跌幅。Anthropic对此震惊，认为这已经越过了公司的伦理边界。截至2月，Anthropic是唯一一家将模型部署在五角大楼机密网络上的AI公司，这让它的拒绝更具冲击力。图3：五角大楼与Anthropic伦理立场对比在五角大楼事件中，冲突的本质是控制权。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN2026022518161797a6fc9d&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN2026022518161797a6fc9d&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-2","news_top_title":null,"news_tag":"policyRegulatory","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["LU1880398554.USD","BK4575","LU1674673691.USD","LU1778281490.HKD","BK4534","LU0868494617.USD","LU1894683264.USD","LU0321505868.SGD","LU1430594728.SGD","BK4588","BK4543","BK4533","BK4612","LU0321505439.SGD","BK4538","BK4585","LU1883839398.USD","BK4602","LU1585245621.USD","LU1894683348.USD","LU1880398471.USD","BK4579","BK4134","LU1674673428.USD","IBM"],"gpt_icon":1},{"id":"2614508891","title":"量子解鎖1.0：IBM詳解量子計算五大焦點問題","url":"https://stock-news.laohu8.com/highlight/detail?id=2614508891","media":"华尔街见闻","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2614508891?lang=zh_tw&edition=fundamental","pubTime":"2026-02-25 16:55","pubTimestamp":1772009739,"startTime":"0","endTime":"0","summary":"IBM确立以超导量子比特为核心，定于2026年凭Nighthawk处理器实现量子优势，2029年迈向容错计算拐点。技术重心已从物理突破转向工程扩展，强调量子与经典算力紧耦合。应用将率先落地于化学与材料领域，并于2029年迎来优化领域的“ChatGPT时刻”。","market":"nz","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":null,"url":"https://wallstreetcn.com/articles/3766152","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://wallstreetcn.com/articles/3766152","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU1778281490.HKD","LU1880398471.USD","BK4575","LU0868494617.USD","BK4579","BK4602","BK4538","LU0321505868.SGD","LU1674673691.USD","LU0321505439.SGD","LU1894683264.USD","BK4134","LU1894683348.USD","LU1430594728.SGD","LU1674673428.USD","BK4612","LU1585245621.USD","LU1883839398.USD","IBM","LU1880398554.USD","BK4534","BK4533","BK4543","BK4585","QTUM","BK4588"],"gpt_icon":1},{"id":"1136384284","title":"IBM 2026 X-Force威脅指數報告：基礎安全缺口致企業門户洞開，AI驅動型攻擊急劇升級","url":"https://stock-news.laohu8.com/highlight/detail?id=1136384284","media":"美股速递","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1136384284?lang=zh_tw&edition=fundamental","pubTime":"2026-02-25 13:02","pubTimestamp":1771995732,"startTime":"0","endTime":"0","summary":"根据IBM最新发布的2026年X-Force威胁指数，由于企业普遍存在的基础性安全防护缺口，人工智能驱动的网络攻击正呈现显著升级态势。报告警示，攻击者正日益利用AI技术提升攻击效率与隐蔽性，而许多组织仍未能有效填补基本安全漏洞，导致其防御体系面临严峻考验。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4585","LU0321505439.SGD","LU1430594728.SGD","IBM","BK4602","LU0868494617.USD","BK4134","LU1894683264.USD","BK4575","LU1585245621.USD","BK4538","BK4579","LU1674673691.USD","LU1674673428.USD","LU1880398554.USD","LU1883839398.USD","BK4534","LU1894683348.USD","BK4533","LU1880398471.USD","BK4588","LU1778281490.HKD","LU0321505868.SGD","BK4612","BK4543"],"gpt_icon":0},{"id":"2614770587","title":"IBM推出AI智能體驅動的FlashSystem全閃存產品組合，開啓\"自主存儲\"新時代","url":"https://stock-news.laohu8.com/highlight/detail?id=2614770587","media":"美通社","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2614770587?lang=zh_tw&edition=fundamental","pubTime":"2026-02-25 12:03","pubTimestamp":1771992180,"startTime":"0","endTime":"0","summary":"北京2026年2月25日 /美通社/ -- IBM近日发布了嵌入了 AI智能体的下一代闪存系统IBM FlashSystem，开启\"自主存储\"的新时代。新一代FlashSystem通过内嵌AI智能体增强了AI能力，实现持续性的数据保护、主动的威胁分析和定制化的恢复建议，重新定义企业级IT弹性。[1] IBM FlashSystem 新的产品组合包括： 三款全新闪存系统——IBM FlashSystem 5600、7600和9600。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://wwwold.prnasia.com/story/archive/4895298_ZH95298_1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"productRelease","news_rank":0,"length":0,"strategy_id":0,"source":"prnasia","symbols":["BK4543","LU0321505439.SGD","LU1430594728.SGD","LU0868494617.USD","LU1674673691.USD","LU1585245621.USD","IBM","LU1880398471.USD","LU1778281490.HKD","BK4534","BK4575","BK4585","BK4538","BK4533","BK4612","BK4602","LU1894683264.USD","LU1894683348.USD","LU1883839398.USD","BK4134","BK4588","BK4579","LU1674673428.USD","LU1880398554.USD","LU0321505868.SGD"],"gpt_icon":1},{"id":"2614577641","title":"市場錯殺IBM(IBM.US)！傑富瑞：暴跌無視了「自我革新」的關鍵事實","url":"https://stock-news.laohu8.com/highlight/detail?id=2614577641","media":"智通财经","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2614577641?lang=zh_tw&edition=fundamental","pubTime":"2026-02-25 11:26","pubTimestamp":1771989964,"startTime":"0","endTime":"0","summary":"智通财经APP获悉，本周一，IBM股价大幅下跌，主要受到Anthropic旗下Claude Code产品能够翻译COBOL语言的消息影响，引发市场对这家科技巨头传统业务的担忧。然而，投资机构杰富瑞指出，这一导致IBM股价创下26年来最大单日跌幅的抛售，实际上忽略了IBM正在进行自我革新的关键事实。Thill维持对IBM的“买入”评级，目标价为370美元。IBM此前透露，其主机业务持续增长，70%的客户正在扩展相关负载。","market":"sh","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://www.zhitongcaijing.com/content/detail/1407003.html","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"stock_zhitongcaijing","symbols":["BK4585","LU1894683348.USD","LU1430594728.SGD","BK4559","BK4579","BK4533","BK4127","BK4602","LU1880398554.USD","BK4534","LU0321505439.SGD","JEF","IBM","LU1674673428.USD","BK4575","LU1894683264.USD","BK4612","LU1778281490.HKD","BK4134","LU1585245621.USD","LU1674673691.USD","BK4588","LU1883839398.USD","LU1880398471.USD","BK4538","LU0868494617.USD","BK4543","LU0321505868.SGD"],"gpt_icon":1},{"id":"2613474392","title":"BUZZ-人工智能顛覆性擔憂引發數十年來最糟糕一天，IBM 反彈","url":"https://stock-news.laohu8.com/highlight/detail?id=2613474392","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2613474392?lang=zh_tw&edition=fundamental","pubTime":"2026-02-24 23:37","pubTimestamp":1771947442,"startTime":"0","endTime":"0","summary":"2月24日 - ** IBMIBM.N股价在周二上涨5.2%至234.96美元，此前一个交易日创下2000年以来最大跌幅。** 在人工智能初创公司Anthropic称其Claude Code工具可用于现代化COBOL 之后，IBM股价周一下跌>13%，COBOL是IBM大型机上广泛用于银行、保险和政府系统的一种编程语言。由于自动化翻译可能有误，或未能包含所需语境，路透不保证自动化翻译文本的准确性，仅是为了便利读者而提供自动化翻译。对于因为使用自动化翻译功能而造成的任何损害或损失，路透不承担任何责任。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260224:nL4S3ZK1JR:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4538","ORCU","LU1430594728.SGD","LU0661504455.SGD","LU2896262040.SGD","LU2148611432.USD","BK4581","LU1035773651.USD","LU0234572021.USD","IE00B3S45H60.SGD","LU1935042215.USD","LU1989764664.SGD","LU0553294199.USD","LU0444973449.USD","LU0323591593.USD","LU1992135399.USD","LU0433182093.SGD","IE00BBT3K403.USD","LU1037948897.HKD","LU1935042488.USD","LU2860962120.EUR","LU0648001328.SGD","LU2272731782.SGD","LU1934455863.HKD","LU2746668974.SGD","LU0719512351.SGD","LU1003077747.HKD","BK4613","LU1585245621.USD","IE0009356076.USD","LU0320765489.SGD","LU0353189680.USD","LU0208291251.USD","LU0321505439.SGD","BK4575","LU0314106906.USD","LU0949170772.SGD","IBM","DOGD","LU2360106780.USD","LU0545039389.USD","LU1935043023.USD","IE00BMPRXQ63.HKD","BK4579","LU1935043536.SGD","LU1989772923.USD","IE0002270589.USD","LU0210536198.USD","IE00B7SZLL34.SGD","LU1815336760.USD","ORCX","LU2054465674.USD","BK4607","BK4543","LU1069347547.HKD","LU1923623000.USD","LU0980610538.SGD","LU1883839398.USD","LU2458330243.SGD","LU0082616367.USD","LU1804176565.USD","IE00B19Z3B42.SGD","LU1934455194.USD","LU1366192091.USD","IE00B5949003.HKD","IE00BLSP4452.SGD","LU0234570918.USD","LU2746668461.USD","LU2250418816.HKD","LU2543165471.USD","LU0957808578.USD","LU2125909247.SGD","LU2286300806.USD","LU1880398471.USD","LU1992135472.HKD","LU2326559502.SGD","BK4528","BK4602","LU1974910355.USD","LU1201861249.SGD","LU2237957902.USD","LU0965509283.SGD","LU1803068979.SGD","LU1506573853.SGD","LU1934455277.USD","LU1894683264.USD","LU0348723411.USD","IE00B775SV38.USD","LU2433249047.HKD","BK4533","LU0256863811.USD","LU0444971666.USD","LU0868494617.USD","LU2125909593.SGD","BK4535","LU2023250504.SGD","LU1935042991.SGD","LU2265009873.SGD","BK4560","LU1720051108.HKD","LU1674673428.USD","LU0985489474.SGD","LU1951200564.SGD","IE00B19Z9P08.USD","LU0130102774.USD","ORCS","LU1720051017.SGD","LU1989772840.SGD","LU1435385759.SGD","LU0289960550.SGD","LU0157215616.USD","IE00BLSP4239.USD","BK4585","LU0889565833.HKD","LU1691799644.USD","BK4134","LU1548497426.USD","LU2125909916.SGD","BK4588","BK4598","LU0353189763.USD","LU1778281490.HKD","LU2272731600.USD","LU1880398554.USD","IE00B19Z9Z06.USD","LU2087625088.SGD","LU0070302665.USD","LU0417517546.SGD","IE00B19Z3581.USD","LU2108987350.USD","IE00BZ9MQY76.HKD","IE00B894F039.SGD","LU1923622614.USD","IE00BMPRXR70.SGD","LU0965508806.USD","IE0004445239.USD","LU0738911758.USD","LU1037948541.HKD","LU0109392836.USD","LU1852331112.SGD","LU0476273544.USD","LU2357305700.SGD","LU1951198990.SGD","IE00BN8TJ469.HKD","LU0198837287.USD","LU1917777945.USD","LU1988902786.USD","LU2106854487.HKD","SG9999001424.SGD","BK4534","LU0081259029.USD","LU1894683348.USD","LU1489326972.SGD","LU0861579265.USD","LU0965509010.AUD","CRWL","BK4097","IE00BMPRXN33.USD","LU1642822529.SGD","LU1674673691.USD","BK4548","LU1064131342.USD","LU1989764748.USD","LU2125909759.SGD","LU1366333091.USD","BK4612","LU2237957811.SGD","LU1429558221.USD","LU0068578508.USD","BK4516","LU1923622291.USD","LU2264538146.SGD","LU0878866978.SGD","SG9999003800.SGD","LU2211815571.USD","LU0321505868.SGD","BK4023","BK4561","LU0965509101.SGD","BK4551","LU0056508442.USD","LU0175139822.USD","LU2458330169.SGD","SG9999011175.SGD","LU2236285917.USD","BK4532"],"gpt_icon":1},{"id":"1172485882","title":"異動解讀 | 市場情緒逆轉，IBM盤中大漲5.79%","url":"https://stock-news.laohu8.com/highlight/detail?id=1172485882","media":"异动解读","labels":["movement"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1172485882?lang=zh_tw&edition=fundamental","pubTime":"2026-02-24 23:37","pubTimestamp":1771947426,"startTime":"0","endTime":"0","summary":"IBM今日盘中股价大幅上涨5.79%，引起了市场的广泛关注。此次上涨发生在该股此前因人工智能颠覆性担忧而遭遇大幅抛售之后。市场分析显示，部分投资者和机构认为之前的抛售可能反应过度。有分析师指出，AI技术未必会彻底取代IBM等传统软件巨头，反而可能通过提升其服务效率与产品吸引力来增强长期价值，市场情绪因此出现逆转。此前，AI初创公司Anthropic发布可现代化COBOL编程语言的工具，引发了市场对IBM核心大型机业务前景的担忧，导致其股价暴跌。","market":"hk","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"movement","news_rank":0,"length":0,"strategy_id":0,"source":"ai_movement_cn","symbols":["IBM"],"gpt_icon":0},{"id":"2614610744","title":"一夜蒸發310億美元，Claude 新工具幹翻IBM 搖錢樹","url":"https://stock-news.laohu8.com/highlight/detail?id=2614610744","media":"虎嗅APP","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2614610744?lang=zh_tw&edition=fundamental","pubTime":"2026-02-24 22:10","pubTimestamp":1771942200,"startTime":"0","endTime":"0","summary":"本文来自微信公众号：APPSO，作者：发现明日产品的，原文标题：《一夜蒸发 310 亿美元！Claude 新工具干翻 IBM 摇钱树，AI 正在“清零”人类工位》如果你想摧毁一家公司，不需要打败它，只需要让人相信它可以被打败。当天市值从2408亿美元跌至约2087亿美元，蒸发了约310亿美元。2025年10月，两家公司曾宣布战略合作，把Claude集成进IBM的开发工具体系，内部有超过6000名早期用户报告平均生产力提升约45%。导火索是Anthropic宣布推出Claude Code Security。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://mp.weixin.qq.com/s?__biz=MTQzMjE1NjQwMQ==&mid=2656153954&idx=3&sn=40f325ca536cee10933054fbb9c82f34&chksm=67a5bfd4c0c0720cc069f23963f3163848f0ed5347a5330e468ee89c19afa0c100cff9c21e9a&scene=0#rd","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-2","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"weixin_highlight","symbols":["LU1880398554.USD","BK4575","LU1674673691.USD","LU1778281490.HKD","BK4534","LU0868494617.USD","LU1894683264.USD","LU0321505868.SGD","LU1430594728.SGD","BK4588","BK4543","BK4533","BK4612","LU0321505439.SGD","BK4538","BK4585","LU1883839398.USD","BK4602","LU1585245621.USD","LU1894683348.USD","LU1880398471.USD","BK4579","BK4134","LU1674673428.USD","IBM"],"gpt_icon":1},{"id":"2613712269","title":"春節第一批AI受害者：IBM和美國版美團","url":"https://stock-news.laohu8.com/highlight/detail?id=2613712269","media":"奇偶工作室","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2613712269?lang=zh_tw&edition=fundamental","pubTime":"2026-02-24 21:36","pubTimestamp":1771940188,"startTime":"0","endTime":"0","summary":"当天，AI明星公司Anthropic发布技术博客，宣布其编程工具Claude Code能够高效地将古老的COBOL语言现代化。DoorDash暴跌7%，黑石集团、KKR、美国运通跌幅均超6%。摧毁IBM护城河COBOL是一种古老的编程语言，至今仍运行在全球大量金融、政府等关键系统上，美国约95%的ATM交易是由COBOL系统处理的。印度IT业已遭重创IBM的遭遇并非开端，也不会是结束。因担忧AI冲击，包括TCS在内的六家印度IT公司的评级被下调。但如今AI编程助手的边际成本，将降至仅相当于电费的水平。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN202602242156539541d2d8&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN202602242156539541d2d8&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["LU0540923850.HKD","LU0828238088.HKD","LU0650527681.SGD","LU0072913022.USD","BK1615","LU0345775950.USD","LU2087589342.USD","LU0417516738.SGD","LU1251922891.USD","LU0348788117.USD","LU0543330483.HKD","IE00B5MMRT66.SGD","IE00B0JY6N72.USD","LU1770034418.SGD","LU1880383440.USD","LU0634319403.HKD","SG9999001903.USD","LU0314109678.HKD","LU0594300179.USD","LU2476274720.SGD","LU0307460666.USD","LU0143863198.USD","LU1152091754.HKD","LU0106252389.USD","LU0359201885.HKD","LU0502904849.HKD","IE00B543WZ88.USD","LU0509642566.USD","LU0918141887.USD","LU0449509016.USD","03690","LU0326950275.SGD","LU1831875114.USD","LU1102505762.USD","LU1048596156.SGD","LU2097828474.EUR","BK1589","LU0210526637.USD","DASH","LU0499858602.USD","LU0011963245.USD","LU0588546209.SGD","LU0880133367.SGD","LU0449515922.USD","LU1242518857.USD","LU0593848301.USD","LU2226246903.HKD","LU2488822045.USD","LU0588545730.USD","LU1224709979.USD","LU0327786744.USD","LU1152091168.USD","LU2476274308.USD","LU0029875118.USD","LU0067412154.USD","LU0231483743.USD","LU0039217434.USD","LU0348814723.USD","LU1961090484.USD","BK1521","LU1323998911.USD","LU0417516902.SGD","LU0348816934.USD","LU0878005551.USD","BK1591","LU0611395673.USD","LU0865486749.SGD","LU0456846285.SGD","SG9999002463.SGD","IE00BF5LJ272.USD","LU0047713382.USD","LU0683595622.HKD","LU1481107354.HKD","LU1048588211.SGD","LU0979878070.USD","LU2148510915.USD","IE0032431581.USD","SG9999014674.SGD","LU2125910500.SGD","LU0823040885.USD","LU0828237510.HKD","LU0737861699.HKD","LU0348805143.USD","LU0828237940.HKD","LU1794554557.SGD","IE0008368742.USD","LU0181495838.USD","LU1105468828.SGD","LU1675838814.USD","LU1242518931.SGD","LU0672654166.SGD","LU0117841782.USD","LU1993786604.SGD","LU0196878994.USD","LU0588545490.SGD","LU1023057109.AUD","LU0455707207.USD","LU0143863784.USD","LU0043850808.USD","LU0700851271.USD","LU0823426308.USD","LU0871576103.HKD","LU0856984785.SGD","LU2045819591.USD","LU0345776255.USD","LU0287142896.SGD","IE00BPRC5H50.USD","LU0164865239.USD","LU0541501648.USD","LU0577902371.SGD","LU0605514214.HKD","BK1575","LU1064131003.USD","LU0463099449.HKD","LU0594300419.USD","LU0049853897.USD","LU1282648689.USD","LU0819123356.HKD","LU1328615791.USD","LU0251144936.SGD","IE00B031HY20.USD","LU1960683339.HKD","SG9999002828.SGD","SG9999001689.USD","LU0797268264.HKD","IE0008369823.USD","LU2399975544.HKD","LU0228659784.USD","LU0821914370.USD","LU0348825331.USD","LU2778985437.USD","LU0499858438.USD","BK1583","LU1770036033.HKD","BK1604","IE00B3M56506.USD","SG9999000459.SGD","LU0577902611.USD","LU0072462343.USD","LU2242644610.SGD","LU0868486357.SGD","LU0173614495.USD","LU0577902454.USD","LU0873338254.USD","BK1610","IBM","LU0348827113.USD","LU0456827905.SGD","LU1868837565.USD","LU0633140560.USD","LU0164880469.USD","LU2097828557.USD","83690","LU0370786039.SGD","LU0577902298.EUR","LU0819121731.USD","LU0589944569.HKD","LU0823041008.USD","LU2097828631.EUR","LU2097828714.EUR","LU0918141705.HKD","LU0320764599.SGD","LU2257852520.SGD","LU0164872284.USD","IE0034224299.USD","LU0633140727.USD","LU0048597586.USD","LU0052750758.USD","LU1734074674.USD","LU0320764755.SGD","LU0326948709.USD","LU0211977185.USD","HMTD.SI","LU0561508036.HKD","LU0165289439.USD","LU0577902538.SGD","LU0051755006.USD","LU0823039010.USD","LU0132412106.USD","LU0128522157.USD","LU0315178854.USD","LU0269904917.USD","LU1226287529.USD","LU1688375341.USD","LU1807302812.USD","SG9999000327.SGD","LU2097828805.USD","BK1618","LU2039709279.SGD","LU0054237671.USD","LU0541502299.USD","LU0149721374.USD","LU1868838027.USD","LU1813983027.USD","LU1880383366.USD","LU2152927971.USD","LU1303224171.USD","LU0708995583.HKD","LU0572944931.SGD","LU0531971595.HKD","LU0054450605.USD","LU1188198961.HKD","LU0140636845.USD","LU1008478684.HKD","LU1808992512.USD","LU1102505929.USD","LU0214875030.USD","LU1868837722.USD","LU0359202008.SGD","IE00B29SXG58.USD","SG9999002562.SGD","LU1720050803.USD","METmain","LU0501845795.SGD","LU0244354667.USD","LU1328277881.USD","LU0048580855.USD","LU1719994722.HKD","LU0823038988.USD","LU0084288322.USD","LU0348735423.USD","BK1142","LU0261950983.USD","LU0588545904.SGD","LU0359201612.USD","BK1233","LU0431992006.USD","LU0823426480.USD","LU1064130708.USD"],"gpt_icon":1},{"id":"2613509607","title":"美股大跌，科技巨頭重挫！歐洲議會暫停批准歐美貿易協議","url":"https://stock-news.laohu8.com/highlight/detail?id=2613509607","media":"速豹新闻网","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2613509607?lang=zh_tw&edition=fundamental","pubTime":"2026-02-24 10:13","pubTimestamp":1771899236,"startTime":"0","endTime":"0","summary":"道指重挫超800点。欧洲议会暂停批准欧美贸易协议据央视新闻，当地时间2月23日，欧洲议会国际贸易委员会主席贝恩德·朗格表示，欧洲议会谈判团队决定暂停批准欧盟与美国贸易协议的相关工作，并推迟原定于24日举行的关于该协议的投票。朗格重申，在采取任何进一步措施之前，需要明确的规定和法律确定性。21日，特朗普进一步加码，宣布税率从10%上调至15%。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260224102326a717d68e&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260224102326a717d68e&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["VXMmain","TQQQ","QQQ","BK4588","UVXY","VIXmain","BK4585","SVXY","BK4593","VIXY","IBM","SPY","ACLX"],"gpt_icon":1},{"id":"2613757907","title":"關税、AI雙重「暴擊」，三大股指全線大跌｜美股一線","url":"https://stock-news.laohu8.com/highlight/detail?id=2613757907","media":"21世纪经济报道","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2613757907?lang=zh_tw&edition=fundamental","pubTime":"2026-02-24 10:07","pubTimestamp":1771898842,"startTime":"0","endTime":"0","summary":"南方财经21世纪经济报道记者吴斌报道在关税消息、AI双重利空冲击下，美股三大指数全线大跌逾1%。当地时间2月23日，标普500指数收跌1.04%，报6837.75点；纳斯达克综合指数跌1.13%，报22627.27点；道琼斯工业平均指数跌1.66%，报48804.06点。据央视新闻报道，白宫的核心优先级并不是“尽快把钱退回去”，而是“尽快把关税工具续上”。","market":"sh","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"stock_eastmoney","url":"http://finance.eastmoney.com/a/202602243652403021.html","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://finance.eastmoney.com/a/202602243652403021.html","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"stock_eastmoney","symbols":["TWM","TZA","BK4535","BK4581","MNQmain","IWN","BK4534","IWO","SRTY","BK4585","TNA","BK4588","UWM","IBM","RWM","BK4550"],"gpt_icon":0},{"id":"2613752772","title":"估值飆至3500億美元！Anthropic推50億天量員工套現計劃，AI人才戰白熱化","url":"https://stock-news.laohu8.com/highlight/detail?id=2613752772","media":"智通财经","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2613752772?lang=zh_tw&edition=fundamental","pubTime":"2026-02-24 09:54","pubTimestamp":1771898081,"startTime":"0","endTime":"0","summary":"知情人士称，该公司已为此次股份出售筹备了50亿至60亿美元的资金，但最终规模将取决于符合资格的Anthropic员工选择出售的股份数量。对于此次新的股份出售计划，Anthropic不予置评。此次交易将由外部投资者，而非Anthropic公司本身，收购这些内部股份。值得注意的是，Anthropic、OpenAI和SpaceX近期都已采取一些措施，为未来可能的IPO铺路。Anthropic宣布对其旗下Claude进行更新，推出一项可显著降低COBOL系统维护和分析成本的新功能。","market":"sh","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://www.zhitongcaijing.com/content/detail/1406485.html","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"stock_zhitongcaijing","symbols":["BK4538","BK4612","LU0321505439.SGD","LU1778281490.HKD","LU1430594728.SGD","BK4579","LU0321505868.SGD","BK4585","LU1880398554.USD","BK4588","LU1880398471.USD","LU1883839398.USD","LU1894683264.USD","BK4134","LU1674673428.USD","BK4575","LU1894683348.USD","BK4533","BK4602","BK4534","IBM","BK4543","LU0868494617.USD","IPO","LU1674673691.USD","LU1585245621.USD"],"gpt_icon":0}],"pageSize":20,"totalPage":19,"pageCount":1,"totalSize":376,"code":"91000000","status":"200"}]}}