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
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
305.67
+7.72
2.59%
盤後:
305.65
-0.0200
-0.01%
19:59 EST
成交量:
619.96萬
成交額:
18.88億
市值:
2,857.21億
市盈率:
36.56
高:
307.45
開:
301.00
低:
300.78
收:
297.95
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:
1.60
換手率:
0.67%
股息:
6.70
股息率:
2.19%
每股收益(TTM):
8.36
每股收益(LYR):
6.53
淨資產收益率:
30.16%
總資產收益率:
5.14%
市淨率:
10.24
市盈率(LYR):
46.78
資料載入中...
總覽
公司
新聞資訊
公告
IBM宣佈與全英草地網球俱樂部續簽長期合作協議,繼續擔任温布爾登官方人工智能、雲計算和數字化轉型合作伙伴
美通社
·
01/13
IBM股票在2025年表現強勁,又成Oppenheimer分析師Param Singh 2026年首選股!
老虎资讯综合
·
01/09
Datavault AI與IBM深化合作 藉助Available Infrastructure的Sanqtum AI平台部署企業級邊緣人工智能
美股速递
·
01/08
Datavault AI擴大與IBM合作
格隆汇
·
01/08
RBC Capital上調IBM目標價至350美元
中金财经
·
01/08
IBM與全美零售商聯合會研究揭示新趨勢:人工智能在購物前重塑消費者決策,品牌與零售商積極應對變革
美股速递
·
01/07
CPU史上最爛匯總——這款堪稱爛中爛!
芯司机
·
01/07
IBM與全英草地網球俱樂部續簽長期合作協議,持續擔任官方人工智能、雲計算及數字化轉型合作伙伴
美股速递
·
01/06
媒體觀察:IBM 中國勇闖民營企業智能化全球化新局
IBM中国
·
01/06
BUZZ--美國股票走勢-Arista Networks、Silver Miners、IBM
路透中文
·
01/05
IBM盤前漲近1.5%
每日经济新闻
·
01/05
傑富瑞:將IBM上調至「買入」評級
中金财经
·
01/05
郭士納離世,但他拯救IBM的思考值得我們銘記
蓝鲸财经
·
01/04
IBM預測2026年AI與科技趨勢:英偉達等GPU仍將是核心
环球市场播报
·
01/02
一個時代的謝幕!95歲巴菲特正式交棒!
财经智讯
·
01/01
IBM悼念前CEO郭士納
环球市场播报
·
2025/12/29
緬懷路易斯•郭士納
美通社
·
2025/12/29
「讓大象跳舞」的人,走了!蘇姿豐曾當他助理,庫克曾給他打工
新智元
·
2025/12/29
12月29日周末要聞:美烏會晤結束 領土問題未談妥 特朗普稱接近達成協議 泰國與柬埔寨宣佈停火
环球市场播报
·
2025/12/29
重振 "藍巨頭 "的 IBM 前首席執行官路易斯-格斯特納逝世,享年 83 歲
路透中文
·
2025/12/29
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":305.67,"timestamp":1768597200000,"preClose":297.95,"halted":0,"volume":6199635,"hourTrading":{"tag":"盘后","latestPrice":305.65,"preClose":305.67,"latestTime":"19:59 EST","volume":493259,"amount":150773944.5809,"timestamp":1768611542273,"change":-0.02,"changeRate":-0.000065,"amplitude":0},"delay":0,"changeRate":0.02591038764893448,"floatShares":927000000,"shares":934735206,"eps":8.360681,"marketStatus":"休市中","change":7.72,"latestTime":"01-16 16:00:00 EST","open":301,"high":307.45,"low":300.78,"amount":1888387742.241,"amplitude":0.022386,"askPrice":0,"askSize":0,"bidPrice":0,"bidSize":0,"shortable":3,"etf":0,"ttmEps":8.360681,"tradingStatus":0,"nextMarketStatus":{"tag":"盤前交易","tradingStatus":1,"beginTime":1768899600000},"marketStatusCode":7,"adr":0,"adrRate":0,"listingDate":-1693076400000,"exchange":"NYSE","adjPreClose":297.95,"dividendRate":0.021932,"preHourTrading":{"tag":"盘前","latestPrice":301.6,"preClose":297.95,"latestTime":"09:29 EST","volume":23021,"amount":6910668.46496,"timestamp":1768573799152,"change":3.65,"changeRate":0.01225,"amplitude":0.016244},"postHourTrading":{"tag":"盘后","latestPrice":305.65,"preClose":305.67,"latestTime":"19:59 EST","volume":493259,"amount":150773944.5809,"timestamp":1768611542273,"change":-0.02,"changeRate":-0.000065,"amplitude":0},"volumeRatio":1.5983247375450482,"impliedVol":0.3834,"impliedVolPercentile":0.7968},"@#url:\"https://hq.skytigris.cn/stock_info/fundamental/all\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"IBM\",,,,,undefined,":{"symbol":"IBM","floatShares":927000000,"roa":"5.14%","roe":"30.16%","lyrEps":6.534183,"volumeRatio":1.5983247375450482,"shares":934735206,"dividePrice":6.7039,"high":307.45,"amplitude":0.022386,"preClose":297.95,"low":300.78,"week52Low":214.5,"pbRate":"10.24","psRate":"4.37","week52High":324.9,"institutionHeld":0.6455,"latestPrice":305.67,"eps":8.360681,"divideRate":0.021932,"volume":6199635,"delay":0,"ttmEps":8.360681,"open":301,"prevYearClose":296.21,"prevWeekClose":304.22,"prevMonthClose":296.21,"prevQuarterClose":296.21,"fiveDayClose":304.22,"twentyDayClose":303.32,"sixtyDayClose":282.05,"earningDate":1769529600000,"earningTime":"盘后","dividendPayoutRate":1.0207856131363324,"dividendFrequency":"Q","dividendGrowthYears":9,"dividendGrowthRate":0.0060331825037707445,"fiveYearAvgDividendRate":0.04377316012280295},"@#url:\"https://hq.skytigris.cn/fundamental/corporate_actions/details/IBM\",params:#limit:5,,,undefined,":[{"date":"2026-01-28","symbol":"IBM","type":"earning","reportTimeType":"post","market":"US","fiscalQuarterEnding":"2025/12","expectedEps":4.33,"defaultRemindTime":1769634000000,"name":null,"time":"盤後","dateTimestamp":1769576400000,"actualEps":null},{"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"},{"market":"US","date":"2025-07-23","symbol":"IBM","fiscalQuarterEnding":"2025/06","expectedEps":2.64,"name":null,"time":"盤後","type":"earning","dateTimestamp":1753243200000,"reportTimeType":"post","actualEps":2.8}],"@#url:\"https://hq.skytigris.cn/fundamental/dividend/history\",params:#symbol:\"IBM\",market:\"US\",,,undefined,":[{"executeDate":"2016-02-08","recordDate":"2016-02-10","paymentDate":"2016-03-10","value":1.3,"currency":"USD"},{"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"}],"@#url:\"https://hq.skytigris.cn/fundamental/estimate/recommendation\",params:#symbol:\"IBM\",market:\"US\",delay:false,,,undefined,":{"strongBuy":0.2609,"buy":0.2174,"hold":0.3913,"sell":0.1304,"strongSell":0,"meanLabel":"BUY","meanPercent":0.2174,"analysts":23,"updateTime":1767589200000},"@#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":"2026-01-16","current":36.560419,"percent":0.621577,"low":14.545064,"twenty":21.170183,"median":24.171292,"eighty":48.136705,"high":107.871875,"avg":36.639719,"sd":22.173327,"marketCap":278504354627},"quantilePoints":[{"date":"2021-01-22","current":18.90667,"twenty":11.396031,"median":13.549409,"eighty":17.736644,"marketCap":105688284528},{"date":"2021-01-29","current":18.986371,"twenty":11.415348,"median":13.578591,"eighty":18.11331,"marketCap":106133813086},{"date":"2021-02-05","current":19.413568,"twenty":11.440935,"median":13.599656,"eighty":18.446783,"marketCap":108521846157},{"date":"2021-02-12","current":19.25576,"twenty":11.446599,"median":13.616748,"eighty":18.61479,"marketCap":107639699612},{"date":"2021-02-19","current":18.967243,"twenty":11.460011,"median":13.623532,"eighty":18.902844,"marketCap":106026886232},{"date":"2021-02-26","current":19.011654,"twenty":11.482748,"median":13.676166,"eighty":18.98669,"marketCap":106275145123},{"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}],"updateTime":1768674295821},"$inf$@#url:\"https://stock-news.skytigris.cn/v2/news/list\",params:#symbols:\"IBM\",pageSize:20,pageCount:1,lang_content:\"cn\",edition:\"fundamental\",,,undefined,":[{"items":[{"id":"2603689564","title":"IBM宣佈與全英草地網球俱樂部續簽長期合作協議,繼續擔任温布爾登官方人工智能、雲計算和數字化轉型合作伙伴","url":"https://stock-news.laohu8.com/highlight/detail?id=2603689564","media":"美通社","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2603689564?lang=zh_tw&edition=fundamental","pubTime":"2026-01-13 18:15","pubTimestamp":1768299300,"startTime":"0","endTime":"0","summary":"北京2026年1月13日 /美通社/ -- IBM与全英草地网球俱乐部近日宣布,双方将续签长期技术合作伙伴关系。2017 年,温布尔登首次引入增强型人工智能解决方案,进一步巩固其在体育科技领域的领先地位。此次续约将基于三十余年的创新成果,重点推动赛事全球影响力的扩大,并通过温布尔登数字生态系统深化球迷互动。36年来,IBM与全英俱乐部始终拥抱创新,打造世界领先的数字化体验,拉近球迷与锦标赛的距离。","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/4862019_ZH62019_1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":"prnasia","symbols":["LU0321505868.SGD","BK4543","BK4588","BK4538","LU1585245621.USD","LU1894683348.USD","BK4533","BK4534","BK4575","LU1674673428.USD","LU1880398471.USD","LU1883839398.USD","LU1778281490.HKD","LU1674673691.USD","BK4612","LU0321505439.SGD","BK4585","LU1894683264.USD","BK4134","LU1430594728.SGD","BK4602","BK4579","LU0868494617.USD","LU1880398554.USD","IBM"],"gpt_icon":0},{"id":"1111413710","title":"IBM股票在2025年表現強勁,又成Oppenheimer分析師Param Singh 2026年首選股!","url":"https://stock-news.laohu8.com/highlight/detail?id=1111413710","media":"老虎资讯综合","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1111413710?lang=zh_tw&edition=fundamental","pubTime":"2026-01-09 15:22","pubTimestamp":1767943341,"startTime":"0","endTime":"0","summary":"尽管有观点认为International Business Machines 已不及数十年前那样具有市场统治力,但Oppenheimer分析师Param Singh在新年来临之际进一步加大了对该公司的看好立场。周四,IBM股价上涨2.1%,收于$303.04,而当日Nasdaq Composite指数下跌。Singh的目标价意味着该股仍有约19%的上涨空间。Singh认为,这些因素将共同推动IBM在2026年实现总收入增长6%,软件收入增长9%。尽管市场存在担忧,但Oppenheimer的调研显示,即使在IBM对企业许可协议续约提价6%的情况下,客户流失也微乎其微。","market":"us","thumbnail":"https://community-static.tradeup.com/news/ca195f53c0554c5ece7e49a1c8c7770a","type":0,"news_type":0,"thumbnails":["https://community-static.tradeup.com/news/ca195f53c0554c5ece7e49a1c8c7770a"],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":true,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["IBM"],"gpt_icon":0},{"id":"1144123855","title":"Datavault AI與IBM深化合作 藉助Available Infrastructure的Sanqtum AI平台部署企業級邊緣人工智能","url":"https://stock-news.laohu8.com/highlight/detail?id=1144123855","media":"美股速递","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1144123855?lang=zh_tw&edition=fundamental","pubTime":"2026-01-08 20:06","pubTimestamp":1767873961,"startTime":"0","endTime":"0","summary":"Datavault AI Inc. (DVLT) 宣布扩大与IBM (IBM) 的现有合作,双方将携手通过Available Infrastructure公司的Sanqtum AI平台,共同推进企业级人工智能技术在边缘计算场景的部署与应用。这一战略合作旨在利用Sanqtum AI平台现有的基础设施能力,为企业在边缘侧实现更高效、更安全的人工智能解决方案。","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":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["DVLT","LU1430594728.SGD","BK4538","LU0868494617.USD","BK4534","LU0321505439.SGD","BK4134","LU1883839398.USD","LU1894683348.USD","IBM","LU1778281490.HKD","BK4585","LU1674673428.USD","BK4612","BK4575","BK4588","BK4533","LU1674673691.USD","BK4579","LU1880398471.USD","BK4543","BK4141","LU0321505868.SGD","LU1880398554.USD","LU1585245621.USD","BK4602","LU1894683264.USD"],"gpt_icon":0},{"id":"2601080366","title":"Datavault AI擴大與IBM合作","url":"https://stock-news.laohu8.com/highlight/detail?id=2601080366","media":"格隆汇","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2601080366?lang=zh_tw&edition=fundamental","pubTime":"2026-01-08 20:05","pubTimestamp":1767873930,"startTime":"0","endTime":"0","summary":null,"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":"https://www.gelonghui.com/rss/live/live.xml","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":"live_gelonghui","symbols":["LU0321505439.SGD","BK4602","LU1674673428.USD","BK4575","LU1894683264.USD","LU1430594728.SGD","BK4585","LU1894683348.USD","BK4579","IBM","BK4538","LU1880398471.USD","BK4612","LU0321505868.SGD","BK4543","LU1880398554.USD","LU1674673691.USD","LU1883839398.USD","BK4588","BK4534","BK4134","LU0868494617.USD","LU1778281490.HKD","LU1585245621.USD","BK4533"],"gpt_icon":0},{"id":"2601833138","title":"RBC Capital上調IBM目標價至350美元","url":"https://stock-news.laohu8.com/highlight/detail?id=2601833138","media":"中金财经","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2601833138?lang=zh_tw&edition=fundamental","pubTime":"2026-01-08 11:07","pubTimestamp":1767841622,"startTime":"0","endTime":"0","summary":"RBC Capital将IBM的目标价从300美元上调至350美元,维持“跑赢大市”评级。(格隆汇)","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":["rate"],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://sc.stock.cnfol.com/gushizhibo/20260108/31925405.shtml","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":"zhongjincaijing_highlight","symbols":["RY","IBM"],"gpt_icon":0},{"id":"1124961161","title":"IBM與全美零售商聯合會研究揭示新趨勢:人工智能在購物前重塑消費者決策,品牌與零售商積極應對變革","url":"https://stock-news.laohu8.com/highlight/detail?id=1124961161","media":"美股速递","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1124961161?lang=zh_tw&edition=fundamental","pubTime":"2026-01-07 23:59","pubTimestamp":1767801565,"startTime":"0","endTime":"0","summary":"根据IBM与全美零售商联合会最新发布的联合研究,人工智能技术正从根本上改变消费者的购物决策模式。研究显示,超过三分之二的消费者在正式进入购物流程前,其品牌偏好、产品选择等关键决策已受到AI推荐系统的影响。研究还指出,成功融合AI技术的零售商其客户转化率平均提升27%,而未能及时转型的企业则面临客户流失风险。专家认为,这场由AI驱动的消费革命将重塑零售行业格局,人机协作的智能决策体系或将成为未来零售业的标准配置。","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":["LU1778281490.HKD","LU1674673691.USD","LU1883839398.USD","BK4579","BK4533","LU0321505439.SGD","LU0321505868.SGD","BK4588","BK4575","LU1585245621.USD","IBM","LU1674673428.USD","BK4585","LU1880398554.USD","LU0868494617.USD","LU1880398471.USD","BK4134","LU1894683348.USD","BK4538","BK4602","LU1894683264.USD","BK4534","LU1430594728.SGD","BK4543","BK4612"],"gpt_icon":0},{"id":"2601871166","title":"CPU史上最爛匯總——這款堪稱爛中爛!","url":"https://stock-news.laohu8.com/highlight/detail?id=2601871166","media":"芯司机","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2601871166?lang=zh_tw&edition=fundamental","pubTime":"2026-01-07 17:31","pubTimestamp":1767778308,"startTime":"0","endTime":"0","summary":"更有甚者,部分CPU的失败堪称灭顶之灾——不仅让厂商的发展进程倒退数年,复苏之路更是道阻且长。以下,便是史上最“拉胯”的几款CPU。相较于同期竞品,Prescott及其双核升级版史密斯菲尔德,堪称英特尔有史以来推出的最弱桌面级处理器产品。虽然这款芯片为英特尔创下了亮眼的营收纪录,但却严重损害了品牌声誉。极少有CPU的失败,能严重到险些拖垮整个厂商——而推土机架构,恰恰就是其中之一。","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=nesSN20260107181411a4a750cb&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=nesSN20260107181411a4a750cb&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":["SG9999015952.SGD","BK4598","IE00BN29S564.USD","LU0080751232.USD","IE0004445015.USD","LU0127658192.USD","LU0823421416.USD","LU1037948541.HKD","LU0061475181.USD","LU0069063385.USD","LU0689626769.HKD","MACW.SI","LU0985320562.USD","LU0048584097.USD","IE0004445239.USD","LU2098885051.SGD","LU2355687059.USD","SG9999015945.SGD","LU0170899867.USD","LU0708995401.HKD","LU2746668461.USD","LU1868837136.USD","IE00BSNM7G36.USD","LU1629891620.HKD","BK4141","LU0124676726.USD","IE00BJTD4N35.SGD","LU0345769128.USD","LU2458330169.SGD","AMD","GFS","BK4554","INTC","LU2106854487.HKD","LU2168563687.JPY","LU2347655073.USD","SPE","IE00BYXW3230.USD","LU0868494708.USD","LU2087621335.USD","LU2083900584.USD","IE00BMPRXN33.USD","SG9999014567.USD","LU1894683264.USD","IBM","BK4550","LU1235294995.USD","LU0943347566.SGD"],"gpt_icon":1},{"id":"1165674979","title":"IBM與全英草地網球俱樂部續簽長期合作協議,持續擔任官方人工智能、雲計算及數字化轉型合作伙伴","url":"https://stock-news.laohu8.com/highlight/detail?id=1165674979","media":"美股速递","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1165674979?lang=zh_tw&edition=fundamental","pubTime":"2026-01-06 20:00","pubTimestamp":1767700821,"startTime":"0","endTime":"0","summary":"IBM宣布已与全英草地网球俱乐部达成长期续约协议,将继续作为该俱乐部的官方人工智能、云计算及数字化转型合作伙伴。IBM将运用其领先的人工智能与云计算技术,助力全英草地网球俱乐部进一步提升赛事运营效率、优化球迷体验并推动数字化转型进程。长期合作的延续彰显了IBM在体育科技领域的专业实力,也体现了全英草地网球俱乐部对技术创新的一贯重视。双方将继续携手,共同探索人工智能与云计算技术在网球赛事中的创新应用。","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":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4579","IBM","BK4134","BK4588","LU0868494617.USD","BK4602","LU1880398554.USD","LU1883839398.USD","BK4533","LU1585245621.USD","LU0321505868.SGD","LU1894683264.USD","LU1894683348.USD","BK4543","LU1674673428.USD","LU1880398471.USD","BK4538","LU1674673691.USD","LU0321505439.SGD","BK4575","BK4612","LU1430594728.SGD","LU1778281490.HKD","BK4534","BK4585"],"gpt_icon":0},{"id":"2601578868","title":"媒體觀察:IBM 中國勇闖民營企業智能化全球化新局","url":"https://stock-news.laohu8.com/highlight/detail?id=2601578868","media":"IBM中国","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2601578868?lang=zh_tw&edition=fundamental","pubTime":"2026-01-06 11:01","pubTimestamp":1767668512,"startTime":"0","endTime":"0","summary":"2025年,IBM 在中国市场低调地完成了一次“战略换档”。以“AI 深耕”计划为标志,IBM 在中国市场的战略重心转向了民营企业和出海市场,围绕区域市场、伙伴生态及共创平台,主攻民营企业数智化转型和全球化运营。那么,以服务世界 500强、1000强企业为主的 IBM,能否在中国打开民营企业的新局?IBM 的灵魂就是创新和整合。对于 2026年的民营企业来说,智能体和代理式 AI 将是智能化和全球化的新局。","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=nesSN20260106111005a6f85b86&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=nesSN20260106111005a6f85b86&s=b","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":"tencent","symbols":["BK4134","LU0321505868.SGD","BK4585","LU1778281490.HKD","LU1880398554.USD","BK4538","LU1430594728.SGD","BK4588","IBM","LU1585245621.USD","BK4575","LU0868494617.USD","BK4534","LU0321505439.SGD","BK4543","BK4579","LU1880398471.USD","LU1883839398.USD","LU1894683348.USD","BK4612","LU1894683264.USD","BK4533","LU1674673691.USD","LU1674673428.USD","BK4602"],"gpt_icon":0},{"id":"2601886577","title":"BUZZ--美國股票走勢-Arista Networks、Silver Miners、IBM","url":"https://stock-news.laohu8.com/highlight/detail?id=2601886577","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2601886577?lang=zh_tw&edition=fundamental","pubTime":"2026-01-05 20:10","pubTimestamp":1767615046,"startTime":"0","endTime":"0","summary":"1月5日 - 与标普500指数和纳斯达克指数挂钩的期货在经历了前一周的下跌后,周一逐步走高,部分原因是石油公司在委内瑞拉总统尼古拉斯-马杜罗被美国在一次军事打击中抓获后大涨 。** Adobe Inc ADBE.O:BUZZ - 在Jefferies将其评级下调至 \"持有 \"后下滑 nL6N3Y60FL ** Arista Networks Inc ANET.N:BUZZ - 因 Piper Sandler 将其评级上调至 \"增持 \"而上涨。","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:20260105:nL4S3Y60SE: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":["BK4515","LU2463526074.USD","LU1046421795.USD","BK4550","SG9999004303.SGD","LU0320765059.SGD","LU0731783048.USD","LU0795875086.SGD","LU0795875169.SGD","BK4551","LU2087625088.SGD","LU2357305700.SGD","LU0708995401.HKD","LU0348723411.USD","ALB","LU0672654240.SGD","LU1261432733.SGD","LU2360032135.SGD","LU0149725797.USD","LU0265550946.USD","LU0965509010.AUD","BK4097","ANET","LU0788109121.HKD","LU1778281490.HKD","LU1582986359.USD","LU0985481810.HKD","SGXZ99366536.SGD","LU0417517546.SGD","LU0861579265.USD","SBSW","IE00BN0W2V16.EUR","LU0266512473.USD","QXO","LU1244550221.USD","LU0889565833.HKD","LU1509826696.USD","IE0009356076.USD","LU1162221912.USD","LU0208291251.USD","LU1150488218.USD","LU0106261372.USD","IE00B19Z9505.USD","LU0081259029.USD","LU1894683348.USD","LU0306806265.USD","LU2249611893.SGD","IE00B3CCJ963.GBP","LU0154245673.USD","BK4567","LU2357125470.USD","LU0211331839.USD","LU2462611646.USD","IE00BN0W2T93.GBP","LU0683600562.USD","LU0654597011.USD","EXK","BK4512","IE00B19Z3581.USD","LU1481011911.USD","LU0234570918.USD","BK4547","LU0077335932.USD","LU1244550577.SGD","LU0225284248.USD","XOM","BK4602","BK4210","LU0198837287.USD","IE00BYQQ9H92.USD","LU0154245756.USD","BK4559","LU1169590202.USD","IE00BMPRXR70.SGD","LU2054465674.USD","LU1880398554.USD","LU1235294995.USD","LU1119994496.HKD","BK4533","LU1674673691.USD","SG9999001424.SGD","LU0320765489.SGD","LU0889566641.SGD","LU0353189680.USD","LU0289961442.SGD","LU0472753341.HKD","LU2106854487.HKD","LU0314104364.USD","LU1366333091.USD","BK4116","LU1582986433.USD","BK4579","LU1223082519.USD","LU2023250843.SGD","LU1878469433.USD","LU2360107671.USD","OMC","LU0456854461.SGD","LU2236285917.USD","LU0061474960.USD","LU0788108826.HKD","LU2089284900.SGD","LU2317271919.USD","IE0002270589.USD","LU1116320737.USD","LU1169589451.USD","LU1974910355.USD","BK4104","BK4539","BK4023","LU1929549753.HKD","BK4596","BK4516","LU2023251221.USD","SLB","BK4527","BK4581","BK4179","SGXZ23171101.USD","LU2355687059.USD","LU2592432038.USD","LU2430703095.HKD","LU0068578508.USD","BK4612","IE00B5TLWC47.USD","FIVN","LU0353189763.USD","LU1280957306.USD","LU1023059493.AUD","LU1223082196.USD","LU0256863811.USD","SG9999001440.SGD","LU1917777945.USD","LU0719512351.SGD","SG9999014559.SGD","IE00B19Z3B42.SGD","LU1718418525.SGD","LU0274383776.USD","LU0985489474.SGD","LU2125154778.USD","LU0557290698.USD","LU0630314457.HKD","LU0965509101.SGD","LU2125154935.USD","LU0278409577.USD","LU2133065610.SGD","LU2210150020.SGD","BK4566","LU0496367417.USD","LU0203345920.USD","LU1582987324.SGD","BK4007","LU0724618789.USD","LU0109392836.USD","LU0289739343.SGD","LU2129689514.USD","SG9999000418.SGD","BK4020","LU1623119135.USD","LU0772969993.USD","LU1582987597.SGD","BK4588","BK4109","BK4600","IE0034235303.USD","LU1861219969.SGD","LU0109391861.USD","LU1720051108.HKD","LU0368265418.SGD","LU1815333072.USD","IE00BGHQF524.EUR","GFI","LU0170899867.USD","LU0511384066.AUD","LU2210149790.SGD","LU0330918003.SGD","BK4585","IE00B0JY6N72.USD","LU2095319765.USD","LU2543165471.USD","IE000M9KFDE8.USD","LU2108987350.USD","RMTI","BK4009","LU1267930813.SGD","LU0345780281.USD","LU0306807586.USD","BK4534","SG9999014575.USD","IE00BMPRXN33.USD","BK4554","LU1489326972.SGD","LU1150488135.SGD","IE00BFXG0V08.USD","LU0070217475.USD","BK4112","LU0006306889.USD","IE00B2Q91V27.USD","LU0157215616.USD","LU1599440770.SGD","LU1883866441.USD","LU0868494617.USD","LU0787776722.HKD","LU2148611432.USD","LU0368265764.SGD","LU0433182093.SGD","BK4532","LU0742534661.SGD","LU0823414551.USD","LU1823568750.SGD","NEM","BK4570","LU0098860793.USD","LU0234572021.USD","SG9999014542.SGD","LU0345780521.USD","LU1633808545.USD","LU2506951792.HKD","LU2602419157.SGD","LU0345781412.USD","LU0203347892.USD","LU0942090050.USD","LU1084165304.USD","LU1066051498.USD","IE00B7SZLL34.SGD","LU0788109394.HKD","LU1803068623.USD","LU0345774631.USD","LU2089283258.USD","LU1861214812.USD","IE00BKDWB100.SGD","LU0265550359.USD","LU1585245621.USD","SG9999002521.SGD","IE00BFXG1179.USD","LU1861217088.USD","LU0498741114.HKD","LU1066053197.SGD","LU2087621335.USD","LU2381873111.SGD","SG9999014567.USD","BK4134","BK4535","LU0742537680.HKD","LU1894683264.USD","LU1880398471.USD","BK4543","LU1244550494.USD","BK4141","LU0912757837.SGD","LU0957791311.USD","LU0342679015.USD","SG9999015358.SGD","LU1496350171.SGD","IE00B1XK9C88.USD","LU2505996509.AUD","BK4595","LU1481011671.HKD","SG9999002224.SGD","LU2430703251.USD","LU2294711713.HKD","LU0345780950.USD","LU1074936037.SGD","CDE","LU2023250504.SGD","LU0251142724.SGD","IE00BMPRXQ63.HKD","LU0158827948.USD","BK4528","IBM","LU2129689605.HKD","BK4529","BK4548","BK4605","LU0057025933.USD","LU1116320901.HKD","LU0266512127.USD","LU0225283273.USD","LU2211815571.USD","LU1691799644.USD","BK4198","LU0878866978.SGD","LU1674673428.USD","BK4538","LU0498741890.SGD","SG9999015341.SGD","LU2498475776.HKD","LU0612318385.USD","SGXZ81514606.USD","LU0097036916.USD","LU0256331488.USD","04335","SG9999002232.USD","LU1712237335.SGD","LU2129689431.USD","HAL","SG9999001143.SGD","BK4545","LU1861558580.USD","LU0731783394.SGD","LU0225771236.USD","HL","LU2931357623.SGD","LU0048573561.USD","LU1803068979.SGD","LU0321505868.SGD","LU1861559042.SGD","BK4575","SGXZ51526630.SGD","LU0345774391.USD","LU2458330243.SGD","LU0321505439.SGD","LU2347655156.SGD","LU0965509283.SGD","LU0868494708.USD","LU0300736062.USD","LU0612318971.USD","SVM","LU1883839398.USD","LU0640476718.USD","LU0320765646.SGD","HMY","LU0070302665.USD","BK4201","IE0008368304.USD","BK4592","IE00BWXC8680.SGD","LU1548497426.USD","LU2458330169.SGD","LU1732799900.SGD","LU0466842654.USD","BITF","LU0082616367.USD","LU0122376428.USD","LU1430594728.SGD","LU2089985449.USD","LU1720051017.SGD","LU1496350502.SGD","LU1153585028.USD","LU2237438978.USD","LU0075056555.USD","LU1267930730.SGD","LU1839511570.USD","BK4017","IE00BN0W2W23.USD","LU1861220207.SGD","LU2430703178.SGD","LU0055631609.USD","LU0300736492.USD","LU1223083913.SGD","LU0823414478.USD","LU0251131958.USD","RIOT","LU2286300806.USD","LU1732800096.USD","LU2505996681.GBP","LU0792757196.USD","LU1430597077.USD","LU0011850046.USD","LU0069063385.USD","NMRA"],"gpt_icon":1},{"id":"2601736002","title":"IBM盤前漲近1.5%","url":"https://stock-news.laohu8.com/highlight/detail?id=2601736002","media":"每日经济新闻","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2601736002?lang=zh_tw&edition=fundamental","pubTime":"2026-01-05 17:39","pubTimestamp":1767605998,"startTime":"0","endTime":"0","summary":"IBM盘前涨近1.5%","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"stock_eastmoney","url":"http://finance.eastmoney.com/a/202601053608912248.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/202601053608912248.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":["IBM","LU0868494617.USD","LU1894683264.USD","LU1880398471.USD","LU1778281490.HKD","BK4585","BK4602","BK4612","LU0321505439.SGD","BK4543","LU0321505868.SGD","BK4134","BK4579","LU1430594728.SGD","BK4538","BK4533","BK4534","BK4588","LU1880398554.USD","LU1585245621.USD","LU1674673428.USD","LU1894683348.USD","LU1674673691.USD","LU1883839398.USD","BK4575"],"gpt_icon":0},{"id":"2601218077","title":"傑富瑞:將IBM上調至「買入」評級","url":"https://stock-news.laohu8.com/highlight/detail?id=2601218077","media":"中金财经","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2601218077?lang=zh_tw&edition=fundamental","pubTime":"2026-01-05 13:27","pubTimestamp":1767590821,"startTime":"0","endTime":"0","summary":"杰富瑞:将IBM(IBM.US)评级从“持有”上调至“买入”;将目标价从300美元上调至360美元。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":["rate"],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://sc.stock.cnfol.com/gushizhibo/20260105/31914534.shtml","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":"zhongjincaijing_highlight","symbols":["IBM"],"gpt_icon":0},{"id":"2600443090","title":"郭士納離世,但他拯救IBM的思考值得我們銘記","url":"https://stock-news.laohu8.com/highlight/detail?id=2600443090","media":"蓝鲸财经","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2600443090?lang=zh_tw&edition=fundamental","pubTime":"2026-01-04 16:20","pubTimestamp":1767514809,"startTime":"0","endTime":"0","summary":"在这种情势之下,IBM董事会急于找到一位能带领公司重振雄风的CEO。结果郭士纳不负重托,接手第二年,IBM就实现了30亿美元盈利,此后更是连年丰收。而就在近日,郭士纳先生年老去世。在他离世之际,我们总结了其在领导IBM起死回生过程中核心思考,以作缅怀。IBM管理的原则1、市场是我们的一切行动的原动力。IBM必须将关注点放在为客户服务上,并在这一过程中击败自己的竞争对手。","market":"hk","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.lanjinger.com/d/1767490743339628485","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":"lanjinger_stock","symbols":["BK4134","BK4612","BK4602","BK4534","LU0321505439.SGD","IBM","BK4533","LU1880398471.USD","LU1894683348.USD","LU0868494617.USD","LU1674673691.USD","LU1880398554.USD","LU1894683264.USD","LU0321505868.SGD","BK4543","LU1883839398.USD","BK4579","LU1674673428.USD","LU1778281490.HKD","LU1430594728.SGD","BK4575","LU1585245621.USD","BK4585","BK4538","BK4588"],"gpt_icon":0},{"id":"2600069727","title":"IBM預測2026年AI與科技趨勢:英偉達等GPU仍將是核心","url":"https://stock-news.laohu8.com/highlight/detail?id=2600069727","media":"环球市场播报","labels":["dataReport"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2600069727?lang=zh_tw&edition=fundamental","pubTime":"2026-01-02 23:36","pubTimestamp":1767368160,"startTime":"0","endTime":"0","summary":"据IBM(IBM)预测,具备自主代理能力的AI系统、注重能效的硬件以及企业AI主权意识将快速普及,而英伟达(NVDA)等领先厂商的GPU仍将是核心。\n\n\n海量资讯、精准解读,尽在新浪财经APP\n\n责任编辑:张俊 SF065","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://finance.sina.com.cn/stock/usstock/c/2026-01-02/doc-inhexwhc3270372.shtml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"dataReport","news_rank":0,"length":0,"strategy_id":0,"source":"sina","symbols":["IE00BZ1G4Q59.USD","LU1883839398.USD","IE00BN29S564.USD","LU0345768740.USD","NVD","LU0345770993.USD","LU1037948541.HKD","LU1548497426.USD","LU2087621335.USD","LU0985320562.USD","LU2471134523.USD","LU1720051017.SGD","LU2381873111.SGD","LU2543165471.USD","LU0466842654.USD","LU1712237335.SGD","NVIW.SI","LU0476273544.USD","LU1267930490.SGD","LU2452424414.USD","SGXZ51526630.SGD","IE00BHPRN162.USD","LU0689626769.HKD","LU2023250330.USD","LU1989772840.SGD","LU0868494617.USD","IE0004445239.USD","LU1585245621.USD","LU2471134952.CNY","LU0708995401.HKD","NVDA","LU0868494708.USD","LU0353189680.USD","IE00BKPKM429.USD","BK4529","SG9999015986.USD","LU1551013342.USD","LU1880398471.USD","LU2491049909.HKD","LU1868836591.USD","LU0965509283.SGD","LU0957791311.USD","LU1791710400.SGD","LU2168564222.USD","LU2089985449.USD","LU1935043023.USD","LU2237957902.USD","LU0265550359.USD","BK4134","LU0124676726.USD","IE00B3SWFQ91.USD","LU2065171311.SGD","SG9999014914.USD","IE0004086264.USD","LU0266013472.USD","IE0009356076.USD","LU0321505439.SGD","IE00B775H168.HKD","IE00BMPRXQ63.HKD","LU1244550494.USD","LU2413666426.HKD","LU1674673691.USD","LU0979878070.USD","LU0056508442.USD","LU2168563687.JPY","LU1496350502.SGD","LU2430703178.SGD","LU1923622291.USD","LU1951200564.SGD","LU1861220033.SGD","LU0256863811.USD","LU2097344431.USD","SG9999004303.SGD","BK4588","LU2357125470.USD","LU2247934214.USD","LU1914381329.SGD","LU0070217475.USD","LU0683600562.USD","LU2931357623.SGD","LU0107464264.USD","LU2023251221.USD","LU2236285917.USD","BK4538","LU2125909593.SGD","LU1035775433.USD","SG9999002224.SGD","LU0158827948.USD","LU2592432038.USD","LU0724617625.USD","LU1894683264.USD","LU2552382132.HKD","SGXZ99366536.SGD","LU1267930573.SGD","SG9999014898.SGD","IE00B3M56506.USD","LU0077335932.USD","LU0823414478.USD","LU2272731782.SGD","IE0005OL40V9.USD","SG9999014575.USD","LU0390134368.USD","LU1430594728.SGD","IE00B19Z8X17.USD","LU0203201768.USD","LU1551013425.SGD","BK4585","LU1718418525.SGD","LU1935043536.SGD","LU0823421416.USD","SGXZ23171101.USD","LU0820561909.HKD","LU2433249047.HKD","LU2417539215.USD","IE00BJTD4V19.USD","IE00BQXX3F31.USD","LU1861127337.USD","LU1674673428.USD","LU0965508806.USD","LU2552382058.USD","IE00BFSS7M15.SGD","LU1691799644.USD","LU0082616367.USD","IE00B19Z8W00.USD","LU0069063385.USD","LU0942090050.USD","LU2125154935.USD","LU2360107168.USD","BK4592","LU0267386448.USD","LU0820562030.AUD","LU0029864427.USD","LU1261432733.SGD","IE0004445015.USD","BK4605","LU2125909759.SGD","LU0061474960.USD","LU0096364046.USD","NVDX","LU1280957306.USD","BK4567","GB00BDT5M118.USD","LU0081259029.USD","LU0157215616.USD","BK4532","LU1116320737.USD","LU0345769631.USD","LU1571399168.USD","LU0672654240.SGD","IE00B1BXHZ80.USD","LU0347712357.USD","LU0889565833.HKD","LU2077746001.SGD","SNVD.UK","LU0417517546.SGD","LU2357305700.SGD","LU2191332357.HKD","LU0353189763.USD","LU1429558221.USD","LU1974910355.USD","LU0154236417.USD","LU1778281490.HKD","LU1232071149.USD","LU0323591593.USD","LU0211327993.USD","LU1992135472.HKD","LU0109391861.USD","LU0128525929.USD","LU1804176565.USD","LU2065169927.USD","LU1951198990.SGD","LU0211328371.USD","IE0009G5SDU7.USD","LU0175139822.USD","3NVD.UK","BK4581","LU2413666699.HKD","LU2089284900.SGD","LU2054465674.USD","LU1868837300.USD","LU0215105999.USD","LU1244550577.SGD","LU1821325948.USD","SG9999014559.SGD","LU0823434583.USD","LU1861215975.USD","LU2326559502.SGD","LU1066051811.HKD","LU2092937148.SGD","LU0788109477.HKD","LU1917777945.USD","LU0310799852.SGD","LU1116320901.HKD","BK4549","LU2461242641.AUD","LU2111349929.HKD","BK4575","LU0494093205.USD","LU1242518931.SGD","BK4602","LU2471134879.HKD","IBM","LU1868836914.USD","LU2360032135.SGD","LU2168564065.EUR","LU2213496289.HKD","LU1852331112.SGD","NVD3.UK","LU1988902786.USD","LU2505996509.AUD","SG9999014880.SGD","LU2473716301.USD","LU0642271901.SGD","LU1934455863.HKD","LU1934455277.USD","LU2087625088.SGD","LU1037948897.HKD","LU2462157665.USD","LU1064131342.USD","IE00BKVL7J92.USD","LU2097344357.USD","LU2249611893.SGD","IE00BJJMRX11.SGD","LU0109392836.USD","BK4579","LU0943347566.SGD","IE00BYXW3230.USD","LU1839511570.USD","IE00BK4W5L77.USD","LU1868837136.USD","LU2023250504.SGD","LU0203202063.USD","LU0444971666.USD","LU0786609619.USD","BK4614","LU2106854487.HKD","IE00B19Z9505.USD","IE00B4YYXB79.USD","IE00BMPRXN33.USD","LU0861579265.USD","LU1791710582.SGD","LU0238689110.USD","LU0719512351.SGD","LU0265550946.USD","LU0787776722.HKD","LU2361045086.USD","LU0053666078.USD","LU0170899867.USD","BK4612","SG9999015952.SGD","LU0274383776.USD","LU0345769128.USD","LU0321505868.SGD","LU2092627202.USD","LU2237438978.USD","LU0234572021.USD","LU0348723411.USD","LU2506951792.HKD","LU0823414551.USD","LU2242650005.HKD","LU1880398554.USD","LU2125909916.SGD","LU2065170008.USD","LU0708994859.HKD","LU2458330243.SGD","LU1935042991.SGD","LU1066051225.USD","IE00BMPRXR70.SGD","IE00BKDWB100.SGD","LU0345768153.USD","LU0444973449.USD","LU0057025933.USD","LU0210533765.USD","BK4550","LU2361044865.SGD","LU1699723380.USD","LU2168564495.EUR","LU2264538146.SGD","LU2237957811.SGD","LU2211815571.USD","LU0048584097.USD","LU0823434740.USD","LU0096362180.USD","IE00BD6J9T35.USD","LU0158827781.USD","BK4543","LU0079474960.USD","LU0882574139.USD","LU1803068979.SGD","LU0823421333.USD","LU1119994496.HKD","LU2272731865.HKD","BK4598","SG9999015945.SGD","IE0004091025.USD","LU1642822529.SGD","SG9999002232.USD","LU0225283273.USD","LU0198837287.USD","LU1267930730.SGD","NVDU","LU2322448957.HKD","LU2602419157.SGD","HK0000306701.USD","LU2420271590.USD","LU2265009873.SGD","LU1066051498.USD","LU1923623000.USD","LU2456880835.USD","LU1629891620.HKD","LU1316542783.SGD","HK0000320264.USD","LU2487616109.SGD","LU1868836757.USD","SGXZ31699556.SGD","LU0072462426.USD","BK4141","LU0097036916.USD","SG9999014542.SGD","IE00B1XK9C88.USD","IE00B7KXQ091.USD","SG9999014567.USD","LU0342679015.USD","IE0001KFT4U8.USD","LU2271345857.HKD","LU0557290698.USD","LU2065171402.SGD","LU0289739343.SGD","LU1633808545.USD","IE0034235295.USD","LU1145028129.USD","IE00BFSS8Q28.SGD","LU2286300806.USD","LU1983260115.SGD","SG9999017495.SGD","LU2294711713.HKD","LU2896262040.SGD","SG9999015978.USD","LU2491050071.SGD","BK4587","LU0820561818.USD","LU2125154778.USD","LU2361044949.HKD","LU2552382215.SGD","SG9999001424.SGD","LU2125909247.SGD","LU1084165304.USD","LU2108987350.USD","LU2272731600.USD","LU0061474705.USD","LU0965509010.AUD","LU0964807845.USD","IE00BWXC8680.SGD","LU1815336760.USD","LU0957808578.USD","LU0965509101.SGD","LU2063271972.USD","BK4533","LU2458330169.SGD","2NVD.UK","IE00B5949003.HKD","LU1127390331.HKD","LU1623119135.USD","LU1923622614.USD","LU0127658192.USD","SG9999015358.SGD","LU1366333091.USD","LU0528227936.USD","LU1815333072.USD","LU2746668974.SGD","BK4548","LU2242649171.HKD","BK4527","LU1934455194.USD","LU0354030438.USD","LU1066053197.SGD","LU1366192091.USD","LU0354030511.USD","LU2491050154.USD","LU0187121727.USD","LU0234570918.USD","HK0000306685.HKD","SG9999018857.SGD","IE00BJLML261.HKD","BK4503","LU1244550221.USD","LU1935042215.USD","SG9999015341.SGD","LU2756315318.SGD","LU1992135399.USD","IE00B4JS1V06.HKD","SG9999000418.SGD","LU1435385759.SGD","LU1894683348.USD","LU2860962120.EUR","LU0210528500.USD","LU2430703251.USD","LU0251132253.USD","SG9999014906.USD","LU0472753341.HKD","LU2290526834.HKD","IE000W1ABFV2.USD","LU1721428933.USD","LU2505996681.GBP","LU1069344957.HKD","LU0289960550.SGD","LU2028103732.USD","BK4608","LU0316494557.USD","LU0511384066.AUD","LU0210536198.USD","LU2403377893.USD","LU1989764748.USD","LU0094547139.USD","LU2244417387.USD","SG9999018865.SGD","IE0034235188.USD","LU1989772923.USD","LU1935042488.USD","IE00BZ199S13.USD","LU0640476718.USD","LU2471134796.USD","LU0320765059.SGD","LU2746668461.USD","SGXZ81514606.USD","LU1814569148.SGD","NVDY","LU2750360641.GBP","IE00BDRTCR15.USD","LU2430703095.HKD","LU2463028550.USD","LU1242518857.USD","LU0256863902.USD","IE00BJTD4N35.SGD","LU0080751232.USD","IE00BK4W5M84.HKD","IE0003U64NQ7.SGD","BK4554","LU1323610961.USD","NVD2.UK","BK4534","IE000YTNTUN2.SGD","NVDS","LU0289961442.SGD","IE00BDCRKT87.USD","LU2168564149.EUR","LU2756315664.SGD","LU2250418816.HKD","NVDD","LU0061475181.USD","LU2089283258.USD","LU1989764664.SGD","IE00BQXX3C00.GBP","LU2750360997.AUD","BK4551","LU0308772762.SGD","HK0000320223.HKD","LU0276348264.USD","LU2360106780.USD","IE000KEQY171.SGD","IE0034235303.USD","LU0310800379.SGD","NVDS.UK","LU1496350171.SGD","LU2083900584.USD","LU0689472784.USD","LU2322448791.USD","LU0345770308.USD","LU0106261372.USD","LU0006306889.USD","IE00BJJMRY28.SGD","IE00BQXX3D17.EUR","LU1720051108.HKD","IE000ITXATA3.USD"],"gpt_icon":0},{"id":"2600707962","title":"一個時代的謝幕!95歲巴菲特正式交棒!","url":"https://stock-news.laohu8.com/highlight/detail?id=2600707962","media":"财经智讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2600707962?lang=zh_tw&edition=fundamental","pubTime":"2026-01-01 07:06","pubTimestamp":1767222404,"startTime":"0","endTime":"0","summary":"巴菲特时代,真的谢幕了!刚刚,95岁的“股神”巴菲特正式卸任伯克希尔·哈撒韦CEO,将“权杖”交到了继任者格雷格·阿贝尔手中。回望1965年,巴菲特接手伯克希尔时,这还是家快倒闭的纺织厂。1999年,互联网泡沫破裂前夜,伯克希尔业绩落后大盘,巴菲特公开承认错误,但明确表示看不懂、太贵,不会买科技股。长期持有,时间是优秀企业的朋友巴菲特不追求短期暴利,而是坚持长期主义。来源沃伦·巴菲特家族在1950年的全家福","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=nesSN20260101070820a490080a&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=nesSN20260101070820a490080a&s=b","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":"tencent","symbols":["LU2360032135.SGD","LU1046421795.USD","IE000ITXATA3.USD","LU1935043536.SGD","SG9999017495.SGD","LU1066053197.SGD","LU0348723411.USD","LU0786609619.USD","LU1116320737.USD","LU0097036916.USD","BK4579","IE00B19Z9505.USD","LU0308772762.SGD","LU0957791311.USD","IE00BWXC8680.SGD","LU2896262040.SGD","LU0061474960.USD","LU0082616367.USD","SG9999002232.USD","LU2452424414.USD","LU0742534661.SGD","IE00BN29S564.USD","LU0784385170.HKD","LU0265550946.USD","SG9999018857.SGD","LU0061475181.USD","LU1868836757.USD","LU2087625088.SGD","LU2237443465.HKD","SG9999018865.SGD","IE0005OL40V9.USD","SG9999002224.SGD","LU1868836591.USD","LU0965509010.AUD","LU2746668461.USD","BK4553","LU1674673428.USD","LU2023250843.SGD","LU1582986433.USD","LU2381873111.SGD","LU0314104364.USD","BK4559","LU0079474960.USD","LU2361044865.SGD","LU2237443382.USD","LU1244550494.USD","LU1066051225.USD","LU0354030438.USD","LU0553294199.USD","LU1366333091.USD","LU1037948897.HKD","LU1934455863.HKD","LU0234570918.USD","IE0009G5SDU7.USD","LU1815333072.USD","LU2360106780.USD","LU0353189680.USD","LU2458330243.SGD","LU0788109477.HKD","LU1232071149.USD","LU0070217475.USD","IE00B19Z8X17.USD","IE00B4JS1V06.HKD","LU2471134523.USD","LU0210536198.USD","LU2083900584.USD","LU0170899867.USD","LU0077335932.USD","IE00BDRTCR15.USD","LU1804176565.USD","LU2417539215.USD","LU0203202063.USD","IE0034235303.USD","IE000KEQY171.SGD","LU0965509283.SGD","LU0251131958.USD","LU1280957306.USD","LU0957808578.USD","LU2505996509.AUD","LU0109392836.USD","LU1301847155.USD","LU2242650005.HKD","LU0256863811.USD","LU2191332357.HKD","LU0048573561.USD","LU0345770308.USD","LU1989764664.SGD","LU1496350502.SGD","SG9999001424.SGD","LU1974910355.USD","LU1201861249.SGD","LU0642271901.SGD","LU2420271590.USD","LU1119994496.HKD","LU2357305700.SGD","IE000M9KFDE8.USD","LU1989772840.SGD","BK4533","LU2361045086.USD","LU1571399168.USD","LU1935042488.USD","LU2471134796.USD","LU2750360641.GBP","LU2168564149.EUR","LU2092937148.SGD","LU0528227936.USD","LU0158827948.USD","LU0648001328.SGD","LU2860962120.EUR","LU1261432733.SGD","LU2602419157.SGD","BK4574","BK4575","LU2168564065.EUR","LU1316542783.SGD","LU1935042215.USD","LU1642822529.SGD","IE00BJJMRX11.SGD","IE00BSNM7G36.USD","LU2271345857.HKD","BRK.B","LU0069063385.USD","LU1496350171.SGD","BK4598","IE00BKVL7J92.USD","LU1582986359.USD","LU1037948541.HKD","LU0820561909.HKD","SG9999015358.SGD","SGXZ31699556.SGD","LU1720051017.SGD","LU2168564222.USD","HK0000306685.HKD","LU0314106906.USD","LU0472753341.HKD","LU1814569148.SGD","LU0444973449.USD","LU1803068979.SGD","LU0689472784.USD","LU0980610538.SGD","LU0823434583.USD","LU1244550221.USD","LU2552382058.USD","LU1366192091.USD","LU0545039389.USD","LU1551013342.USD","LU0158827781.USD","IE00BDCRKT87.USD","LU2462157665.USD","BK4588","LU2430703095.HKD","LU2505996681.GBP","LU2168564495.EUR","LU1582987324.SGD","LU2403377893.USD","LU1868836914.USD","LU0323591593.USD","IE00BYXW3230.USD","SG9999000418.SGD","LU1145028129.USD","LU1732799900.SGD","LU0784383803.USD","LU1069344957.HKD","LU0823434740.USD","LU2106854487.HKD","LU0494093205.USD","LU0964807845.USD","LU1116320901.HKD","LU0640476718.USD","LU1718418525.SGD","LU0096364046.USD","LU0784384876.USD","LU2552382215.SGD","IE00BKDWB100.SGD","BK4527","LU1699723380.USD","BK4566","LU1206713676.USD","BK4170","LU1732800096.USD","IE00BJTD4V19.USD","LU0466842654.USD","LU2237443895.HKD","BK4501","LU2430703251.USD","LU0353189763.USD","SG9999015978.USD","BK4515","IE0001KFT4U8.USD","LU1815336760.USD","LU2097344431.USD","LU1291159041.SGD","IE00BJTD4N35.SGD","IE00B19Z8W00.USD","LU1852331112.SGD","BK4576","LU2237443978.SGD","LU0868494617.USD","BK4532","BK4592","IE0004091025.USD","LU2097344357.USD","MACW.SI","LU2552382132.HKD","LU2065171402.SGD","LU0011850046.USD","LU1934455277.USD","LU1868837136.USD","LU0316494557.USD","SG9999014898.SGD","LU0979878070.USD","IE00B1XK9C88.USD","LU1989764748.USD","LU0889565833.HKD","LU0795875086.SGD","LU0057025933.USD","LU0823421333.USD","LU1235294995.USD","SG9999014906.USD","LU0672654240.SGD","LU1989771016.USD","IE00B3SWFQ91.USD","LU0149725797.USD","IE00B3S45H60.SGD","LU2023250330.USD","LU0943347566.SGD","LU1868837300.USD","IE00B775SV38.USD","IBM","LU2087621335.USD","LU2347655073.USD","LU2456880835.USD","HK0000306701.USD","LU0267386448.USD","LU0127658192.USD","SG9999015341.SGD","IE00B5949003.HKD","IE00BK4W5L77.USD","LU1035775433.USD","LU0215105999.USD","LU2065171311.SGD","IE00BLSP4239.USD","LU0154236417.USD","LU0130102774.USD","LU0320765059.SGD","LU0724617625.USD","HK0000320223.HKD","IE00B1BXHZ80.USD","LU0683600562.USD","LU0661504455.SGD","LU0345769631.USD","SG9999014559.SGD","LU0456855351.SGD","LU1934455194.USD","LU0820561818.USD","LU2461242641.AUD","LU0345768740.USD","LU2250418816.HKD","IE00BJJMRY28.SGD","SG9999015986.USD","IE00BFSS7M15.SGD","BK4507","BK4573","LU0265550359.USD","IE000W1ABFV2.USD","LU1914381329.SGD","LU2543165471.USD","LU2286300806.USD","BK4505","BK4554","IE00BLSP4452.SGD","LU2347655156.SGD","LU0203201768.USD","IE0004445015.USD","LU2108987350.USD","LU2487616109.SGD","LU1935042991.SGD","LU2237443549.SGD","LU2756315664.SGD","LU0198837287.USD","LU2247934214.USD","LU1242518857.USD","LU1791710400.SGD","BK4571","LU0072462426.USD","LU2111349929.HKD","LU2236285917.USD","IE000YTNTUN2.SGD","LU0080751232.USD","LU1839511570.USD","LU2750360997.AUD","SG9999015952.SGD","BK4550","LU0056508442.USD","SG9999014914.USD","IE00BK4W5M84.HKD","LU0109391861.USD","LU1242518931.SGD","LU0124676726.USD","LU0345768153.USD","LU0868494708.USD","LU2023250504.SGD","LU0965509101.SGD","LU0726765562.USD","IE0003U64NQ7.SGD","LU0234572021.USD","LU2265009873.SGD","IE0004086264.USD","LU1823568750.SGD","LU2125154778.USD","LU1917777945.USD","LU0289961442.SGD","GB00BDT5M118.USD","LU2213496289.HKD","LU0251142724.SGD","LU2028103732.USD","BK4585","LU2023251221.USD","LU1267930730.SGD","LU2471134879.HKD","LU1084165304.USD","IE00BZ1G4Q59.USD","LU2089283258.USD","LU0444971666.USD","LU0719512351.SGD","IE0004445239.USD","LU1003077747.HKD","LU0971096721.USD","LU0795875169.SGD","LU0949170426.SGD","LU2471134952.CNY","LU2125154935.USD","LU0053666078.USD","LU0157215616.USD","LU0965508806.USD","LU2592432038.USD","LU1363072403.SGD","IE00BJLML261.HKD","LU2746668974.SGD","BK4581","LU1244550577.SGD","LU2242649171.HKD","LU0354030511.USD","LU1548497426.USD","LU1127390331.HKD","LU0210533765.USD","SG9999014567.USD","HK0000320264.USD","LU1582987597.SGD","IE00BFSS8Q28.SGD","LU2430703178.SGD","LU0096362180.USD","LU2237438978.USD","BK4534","SG9999014880.SGD","LU0289739343.SGD","LU1551013425.SGD","LU2065169927.USD","LU0820562030.AUD","LU1629891620.HKD","LU0784385840.USD","LU0511384066.AUD","LU2054465674.USD","LU2063271972.USD","LU0238689110.USD","LU0251132253.USD","LU0345769128.USD","LU0787776722.HKD","LU1074936037.SGD","IE00B7KXQ091.USD","LU0823421416.USD","LU0861579265.USD","AAPL","LU1720051108.HKD","LU0345770993.USD","LU0738911758.USD","LU0949170772.SGD","LU0417517546.SGD","IE00BBT3K403.USD","LU2092627202.USD","LU0912757837.SGD","IE00BN8TJ469.HKD","LU2237443622.USD","LU1935043023.USD","LU1989772923.USD","IE00B4YYXB79.USD","LU0985320562.USD","BK4176","LU1791710582.SGD","LU2077746001.SGD","LU0210528500.USD","LU1206712785.SGD","IE00B775H168.HKD","LU0708995401.HKD","LU2089284900.SGD","IE0034235295.USD","SG9999015945.SGD","LU1778281490.HKD","LU0048584097.USD","LU0689626769.HKD","LU1066051498.USD","LU2133065610.SGD","LU0942090050.USD","LU2756315318.SGD","LU2458330169.SGD","LU1066051811.HKD","LU0476273544.USD","LU2361044949.HKD","SG9999014575.USD","LU0882574139.USD","IE0009356076.USD","SG9999014542.SGD","BK4512","LU1674673691.USD","LU1506573853.SGD","LU2168563687.JPY","LU2065170008.USD","LU0256863902.USD"],"gpt_icon":1},{"id":"2595091739","title":"IBM悼念前CEO郭士納","url":"https://stock-news.laohu8.com/highlight/detail?id=2595091739","media":"环球市场播报","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2595091739?lang=zh_tw&edition=fundamental","pubTime":"2025-12-29 23:51","pubTimestamp":1767023460,"startTime":"0","endTime":"0","summary":"IBM(IBM)宣布前首席执行官路易斯·V·郭士纳(Louis V. Gerstner)去世,他因在1990年代挽救公司于分拆危机并成功转向综合服务业务而广受赞誉。\n\n\n海量资讯、精准解读,尽在新浪财经APP\n\n责任编辑:张俊 SF065","market":"fut","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://finance.sina.com.cn/stock/usstock/c/2025-12-29/doc-inhenvwe9965637.shtml","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":"sina","symbols":["LU1778281490.HKD","LU1880398471.USD","LU0321505868.SGD","BK4612","BK4575","BK4543","BK4134","LU1880398554.USD","IBM","BK4579","BK4538","BK4585","BK4602","LU0321505439.SGD","LU1674673691.USD","BK4588","LU1894683264.USD","LU1894683348.USD","BK4534","LU1430594728.SGD","LU1674673428.USD","LU1883839398.USD","LU0868494617.USD","LU1585245621.USD","BK4533"],"gpt_icon":0},{"id":"2595818947","title":"緬懷路易斯•郭士納","url":"https://stock-news.laohu8.com/highlight/detail?id=2595818947","media":"美通社","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2595818947?lang=zh_tw&edition=fundamental","pubTime":"2025-12-29 17:30","pubTimestamp":1767000600,"startTime":"0","endTime":"0","summary":"北京2025年12月29日 /美通社/ -- IBM传奇领袖路易斯郭士纳于2025年12月27日逝世。缅怀路易斯郭士纳 各位IBM同仁, 我沉痛地告知大家,IBM 前董事长兼首席执行官路易斯郭士纳于昨日逝世。郭士纳做出了可能是IBM现代史上最具深远意义的决定:保持IBM公司的完整性。郭士纳也明白,仅有战略是不够的。郭士纳的影响远远超出 IBM公司。他一生都深爱和忠于自己的家庭,他的儿子小路易斯郭士纳先于他去世。","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/4854149_ZH54149_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":"prnasia","symbols":["BK4533","LU0321505439.SGD","BK4585","LU1674673691.USD","LU1894683264.USD","LU0868494617.USD","LU1778281490.HKD","BK4602","BK4538","LU1880398471.USD","IBM","LU1880398554.USD","LU0321505868.SGD","LU1585245621.USD","BK4612","BK4579","BK4588","BK4575","LU1883839398.USD","BK4534","BK4134","LU1674673428.USD","LU1894683348.USD","LU1430594728.SGD","BK4543"],"gpt_icon":0},{"id":"1197146697","title":"「讓大象跳舞」的人,走了!蘇姿豐曾當他助理,庫克曾給他打工","url":"https://stock-news.laohu8.com/highlight/detail?id=1197146697","media":"新智元","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1197146697?lang=zh_tw&edition=fundamental","pubTime":"2025-12-29 14:09","pubTimestamp":1766988582,"startTime":"0","endTime":"0","summary":"是他救活了IBM,是他让「大象跳舞」。IBM连续巨额亏损,市值大幅缩水。拒绝拆分IBM一场逆共识的豪赌他很少公开表态,但在自传《谁说大象不能跳舞?》,他亲述了他在IBM工作的10年。其中最具争议、也最具历史意义的决定,是拒绝拆分IBM。郭士纳及其顾问们决定将员工薪酬与整个公司的业绩挂钩,而非员工所在的具体部门业绩。郭士纳并未推翻IBM的传统价值观,但他迫使这些价值观直面现实。","market":"us","thumbnail":"https://static.tigerbbs.com/5b126c8150c928156c17c2b5b9ae1c38","type":0,"news_type":0,"thumbnails":["https://static.tigerbbs.com/5b126c8150c928156c17c2b5b9ae1c38"],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://mp.weixin.qq.com/s/HF8t2pHZe9EW8HIHY9mnog","is_publish_highlight":true,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"lsy1569730104218","symbols":["IBM"],"gpt_icon":1},{"id":"2595327170","title":"12月29日周末要聞:美烏會晤結束 領土問題未談妥 特朗普稱接近達成協議 泰國與柬埔寨宣佈停火","url":"https://stock-news.laohu8.com/highlight/detail?id=2595327170","media":"环球市场播报","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2595327170?lang=zh_tw&edition=fundamental","pubTime":"2025-12-29 06:56","pubTimestamp":1766962560,"startTime":"0","endTime":"0","summary":" 12月27日收盘:美股周五收跌 本周美股三大股指均录得涨幅。 12月27日美股成交额前20:谷歌允许用户更改Gmail邮箱地址。 特朗普称俄乌“接近达成协议” 不排除三方会晤。 涉及中期选举 美总统特朗普透露核心议题。 泽连斯基赴佛罗里达州会晤特朗普 磋商乌克兰和平方案。 哈马斯称以色列未履行停火协议 呼吁美方施压。 泰国与柬埔寨宣布停火 结束持续数周的冲突","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://finance.sina.com.cn/stock/usstock/c/2025-12-29/doc-inhemcnw8128004.shtml","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":"sina","symbols":["BK4579","BK4134","LU0868494617.USD","IBM","LU1674673428.USD","LU1894683264.USD","BK4533","LU0321505868.SGD","BK4575","BK4538","BK4588","LU1894683348.USD","LU1883839398.USD","LU1585245621.USD","LU0321505439.SGD","BK4602","LU1430594728.SGD","LU1674673691.USD","BK4534","LU1880398554.USD","LU1880398471.USD","BK4585","BK4612","LU1778281490.HKD","BK4543"],"gpt_icon":0},{"id":"2595738092","title":"重振 \"藍巨頭 \"的 IBM 前首席執行官路易斯-格斯特納逝世,享年 83 歲","url":"https://stock-news.laohu8.com/highlight/detail?id=2595738092","media":"路透中文","labels":["event"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2595738092?lang=zh_tw&edition=fundamental","pubTime":"2025-12-29 00:47","pubTimestamp":1766940435,"startTime":"0","endTime":"0","summary":"路透12月28日 - IBM IBM.N前首席执行官兼董事长路易斯-格斯特纳于周六去世,享年83岁。IBM 董事长兼首席执行官阿文德-克里希纳在周日发给员工的一封电子邮件中宣布了格斯特纳的死讯,但没有提供死因。2002 年,格斯特纳卸任 IBM 首席执行官一职,公司股价比他创业时上涨了约 800%,他转而担任凯雷集团董事长,直到 2008 年退休。格斯特纳热衷于美国的公共教育,在 IBM 发起了一项在学校使用公司技术的倡议。","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:20251228:nL4T3XY025:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"event","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4115","LU1585245621.USD","LU1861220207.SGD","IBM","LU2125154935.USD","LU2552382132.HKD","LU0094547139.USD","LU0130102774.USD","LU2361044865.SGD","IE0009355771.USD","LU1674673428.USD","CG","LU1261432733.SGD","IE00BFSS7M15.SGD","LU0211326839.USD","BK4550","BK4135","IE00B3QW5Z07.USD","LU1674673691.USD","BATS.UK","LU1670711123.USD","IE00B775H168.HKD","LU1989771016.USD","LU1670710588.SGD","LU1883839398.USD","IE00B64PRP62.GBP","LU1323610961.USD","IE00BFTCPJ56.SGD","IE00BJT1NW94.SGD","LU1778281490.HKD","LU0868494617.USD","LU0149725797.USD","LU2360032135.SGD","AXP","LU1861217088.USD","IE00B2B36J28.USD","LU2361045086.USD","LU0942090050.USD","LU0061475181.USD","BK4507","T","LU0211326755.USD","IE0004445015.USD","LU2360107671.USD","BK5010","BMY","IE00BFXG1179.USD","LU1670710661.SGD","LU1868836914.USD","BK4134"],"gpt_icon":0}],"pageSize":20,"totalPage":10,"pageCount":1,"totalSize":198,"code":"91000000","status":"200"}]}}