美股詳情

本頁面由Tiger Trade Technology Pte. Ltd.提供服務

IBM

305.67

+7.722.59%

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

BUZZ-與價值 125 億美元的 FAA 合同失之交臂，帕森斯公司業績下滑

美國聯邦航空局任命佩拉頓負責空中交通管制改革工作

聯邦航空管理局選擇Peraton負責125億美元空中交通控制改革項目

藍色巨人IBM看空AI：8萬億美元回不了本 AGI可能性0-1%

IBM CEO：以當前成本，投資數萬億建設AI數據中心「不可能賺錢」

华尔街见闻

IBM諮詢張信一：IBM零號客户計劃，給客户的AI方案，先由自身實戰淬鍊

加拿大芯片雄心：數十億美元流向IBM和Marvell，打造北美半導體強國

电子产品世界

IBM取得減少探測汽車數據傳輸的方法和系統專利

加拿大政府：聯邦投資高達2.1億加元用於與IBM加拿大及C2MI共同擴展半導體能力的6.62億加元項目

IBM據悉將在加拿大擴大芯片產能。

消息人士稱中國百度第三季度虧損後開始裁員

1.4nm爭霸戰，打響！

半导体行业观察

AMD聯手IBM與Zyphra發布ZAYA1：14T tokens預訓練，架構創新性能對標Qwen3

ITBEAR科技资讯

背景資料-經濟形勢不明朗，美國企業加大裁員力度

中期將迎來多項增長點 Evercore ISI重申IBM(IBM.US)「跑贏大盤」評級

AMD 聯合 IBM 與 Zyphra 發布全球首款全 AMD 硬件訓練 MoE 模型 ZAYA1

蘋果銷售團隊裁員

蘋果銷售團隊裁員

BUZZ-摩根大通將 Brandywine Realty Trust 的評級下調至 "減持 "後下跌

Wedbush：AI及高性能計算領域內存供應持續緊張

{"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?page=4"},"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":1768721208849},"$inf$@#url:\"https://stock-news.skytigris.cn/v2/news/list\",params:#symbols:\"IBM\",pageSize:20,pageCount:4,lang_content:\"cn\",edition:\"fundamental\",,,undefined,":[{"items":[{"id":"2589315892","title":"BUZZ-與價值 125 億美元的 FAA 合同失之交臂，帕森斯公司業績下滑","url":"https://stock-news.laohu8.com/highlight/detail?id=2589315892","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2589315892?lang=zh_tw&edition=fundamental","pubTime":"2025-12-05 20:31","pubTimestamp":1764937884,"startTime":"0","endTime":"0","summary":"** TD Cowen 分析师称这是一个 \"出人意料的损失\"，而赢得合同的价格已经计算在内。** 平均股票评级为 \"买入\"；PT中值为87.5美元--数据由LSEG编制** 截至上次收盘，该股今年累计下跌 8.4(为便利非英文母语者，路透将其报导自动化翻译为数种其他语言。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:20251205:nL4S3XB0Y9:1","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":["BK4134","LU0321505868.SGD","LU0566484027.USD","LU1559883803.SGD","BK4585","LU1778281490.HKD","LU1880398554.USD","BK4538","LU1430594728.SGD","BK4588","IBM","LU1585245621.USD","BK4575","BK4123","LU0868494617.USD","BK4187","BK4534","LU0321505439.SGD","BK4543","BK4579","LU1880398471.USD","LU1883839398.USD","LU1894683348.USD","LU2065731478.USD","BK4612","LU1894683264.USD","BK4533","LU1674673691.USD","LU1674673428.USD","PSN","BK4602"],"gpt_icon":0},{"id":"2589485370","title":"美國聯邦航空局任命佩拉頓負責空中交通管制改革工作","url":"https://stock-news.laohu8.com/highlight/detail?id=2589485370","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2589485370?lang=zh_tw&edition=fundamental","pubTime":"2025-12-05 07:34","pubTimestamp":1764891255,"startTime":"0","endTime":"0","summary":"美国联邦航空局任命佩拉顿负责空中交通管制改革工作路透华盛顿12月4日 - 美国联邦航空管理局周四表示，该局已选定Veritas Capital旗下的国家安全公司Peraton作为项目经理，负责耗资125亿美元对美国老化的空中交通控制系统进行大修。今年9月，美国联邦航空局证实收到了两份竞标书--Peraton公司和ParsonsPSN.N与IBMIBM.N的联合竞标书。美国联邦航空局表示，Peraton公司将是唯一一家能够管理这个庞大项目的集成商，它将在不影响空中交通的情况下按时交付项目。","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:20251204:nL4S3XA1RB: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":["LU1430594728.SGD","BK4538","LU0868494617.USD","BK4187","BK4534","LU0321505439.SGD","BK4134","LU1883839398.USD","LU1894683348.USD","LU0566484027.USD","IBM","LU1778281490.HKD","PSN","BK4585","LU1674673428.USD","BK4612","BK4575","BK4588","BK4533","LU1674673691.USD","BK4579","LU1880398471.USD","BK4543","LU0321505868.SGD","LU1880398554.USD","LU1585245621.USD","BK4602","LU1894683264.USD","LU2065731478.USD","LU1559883803.SGD","BK4123"],"gpt_icon":0},{"id":"1129131936","title":"聯邦航空管理局選擇Peraton負責125億美元空中交通控制改革項目","url":"https://stock-news.laohu8.com/highlight/detail?id=1129131936","media":"美股速递","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1129131936?lang=zh_tw&edition=fundamental","pubTime":"2025-12-05 07:25","pubTimestamp":1764890713,"startTime":"0","endTime":"0","summary":"联邦航空管理局选择Peraton负责125亿美元空中交通控制改革项目","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":["BK4575","LU0566484027.USD","LU1366192091.USD","LU1162221912.USD","BK4585","LU0321505439.SGD","BK4550","LU0868494617.USD","LU1778281490.HKD","PSN","LU0683600562.USD","LU0321505868.SGD","BK4602","BK4533","BK4187","RTX","BK4579","IBM","BK4123","BK4534","BK4543","LU1894683264.USD","LU0640476718.USD","LU0787776722.HKD","LU1559883803.SGD","LU1894683348.USD","BK4134","LU1674673428.USD","BK4612","BK4538","LU1430594728.SGD","LU1883839398.USD","IE00B3S45H60.SGD","LU1674673691.USD","LU1929549753.HKD","LU1880398471.USD","BK4588","LU0320765646.SGD","LU1880398554.USD","LU1280957306.USD","BK4566","LU1585245621.USD","LU2065731478.USD","IE00B775SV38.USD"],"gpt_icon":0},{"id":"2588883524","title":"藍色巨人IBM看空AI：8萬億美元回不了本 AGI可能性0-1%","url":"https://stock-news.laohu8.com/highlight/detail?id=2588883524","media":"DoNews","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2588883524?lang=zh_tw&edition=fundamental","pubTime":"2025-12-03 20:31","pubTimestamp":1764765067,"startTime":"0","endTime":"0","summary":"快科技12月3日消息，如果评选科技公司中的AI先驱，蓝色巨人IBM绝对位列其中，多年前就靠沃森AI扬名天下，然而该公司CEO日前对AI的表态可不是那么乐观。IBM公司CEO Arvind Krishna日前在一期播客节目上谈到了对AI的看法，他对当前业界不惜一切代价搞算力的做法并不认可，还给算了一笔账。除了认为投资上不可能做到平衡之外，Krishna也不认可当前的AI技术，他表示现在的技术在没有进一步突破的情况，带领人们实现AGI的可能性只有0-1%。","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=nesSN20251203204417a4ca70dc&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=nesSN20251203204417a4ca70dc&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":["LU1430594728.SGD","BK4017","LU1883839398.USD","LU1585245621.USD","LU0321505868.SGD","BK4533","BK4588","BK4612","BK4543","LU0368265764.SGD","AGI","LU1894683348.USD","LU1880398554.USD","BK4534","BK4134","LU1778281490.HKD","LU1880398471.USD","LU0055631609.USD","BK4602","BK4585","BK4575","LU0321505439.SGD","LU1674673691.USD","LU0496367417.USD","IBM","LU0498741890.SGD","LU1894683264.USD","LU0498741114.HKD","LU1674673428.USD","LU0868494617.USD","BK4579","BK4538"],"gpt_icon":0},{"id":"2588098433","title":"IBM CEO：以當前成本，投資數萬億建設AI數據中心「不可能賺錢」","url":"https://stock-news.laohu8.com/highlight/detail?id=2588098433","media":"华尔街见闻","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2588098433?lang=zh_tw&edition=fundamental","pubTime":"2025-12-03 09:13","pubTimestamp":1764724424,"startTime":"0","endTime":"0","summary":"IBM首席执行官Arvind Krishna对AI基础设施投资热潮发出警告，称以当前成本计算，全球为追逐AGI而投入的约8万亿美元资本支出“不可能”盈利，因为仅利息就需要8000亿美元的年利润来覆盖。他同时对当前技术路径实现AGI的可能性表示极度怀疑，认为概率仅为0到1%。","market":"us","thumbnail":"https://static.tigerbbs.com/bdc7472c280ee4af2ee0f797310d6b13","type":0,"news_type":0,"thumbnails":["https://static.tigerbbs.com/bdc7472c280ee4af2ee0f797310d6b13"],"rights":{"source":null,"url":"https://wallstreetcn.com/articles/3760595","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://wallstreetcn.com/articles/3760595","is_publish_highlight":true,"source_rank":0,"column":"","sentiment":"-1","news_top_title":"IBM CEO：以当前成本，投资数万亿建设AI数据中心“不可能赚钱”","news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU1430594728.SGD","LU1883839398.USD","LU1585245621.USD","LU0321505868.SGD","BK4533","BK4588","BK4612","BK4543","LU1894683348.USD","LU1880398554.USD","BK4534","BK4134","LU1778281490.HKD","LU1880398471.USD","BK4602","BK4585","BK4575","LU0321505439.SGD","LU1674673691.USD","IBM","LU1894683264.USD","LU1674673428.USD","LU0868494617.USD","BK4579","BK4538"],"gpt_icon":0},{"id":"2588065975","title":"IBM諮詢張信一：IBM零號客户計劃，給客户的AI方案，先由自身實戰淬鍊","url":"https://stock-news.laohu8.com/highlight/detail?id=2588065975","media":"美通社","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2588065975?lang=zh_tw&edition=fundamental","pubTime":"2025-12-02 14:23","pubTimestamp":1764656580,"startTime":"0","endTime":"0","summary":"本文基于张信一的现场分享整理而成。IBM_China_Headshot  AI很热，但超过80%的用户坦言，AI在企业中的应用不如人意。","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://wwwold.prnasia.com/story/archive/4836971_ZH36971_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":["LU1430594728.SGD","BK4575","BK4543","BK4588","LU1674673428.USD","BK4533","IBM","BK4538","BK4602","LU1585245621.USD","BK4612","LU1883839398.USD","BK4534","LU1894683264.USD","LU1894683348.USD","LU1674673691.USD","BK4579","LU0868494617.USD","LU0321505439.SGD","LU1880398554.USD","BK4134","LU0321505868.SGD","LU1880398471.USD","BK4585","LU1778281490.HKD"],"gpt_icon":0},{"id":"2588690490","title":"加拿大芯片雄心：數十億美元流向IBM和Marvell，打造北美半導體強國","url":"https://stock-news.laohu8.com/highlight/detail?id=2588690490","media":"电子产品世界","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2588690490?lang=zh_tw&edition=fundamental","pubTime":"2025-12-02 11:07","pubTimestamp":1764644840,"startTime":"0","endTime":"0","summary":"2025年11月，加拿大政府宣布联邦投资最高2.1亿加元，用于6.62亿加元的项目。与此同时，MarvellTechnology Inc. 计划在安大略省进行重大扩张，并于2025年12月宣布获得最高1700万加元的安大略投资计划，用于计划中的2.38亿加元五年投资。Marvell的重点将是推动下一代AI半导体技术的研发。这项由安大略投资局支持的2.38亿加元扩建项目，将使Marvell加速下一代AI芯片的开发，这对其云、企业和汽车领域至关重要。这一战略举措加强了Marvell作为人工智能基础设施关键推动者的市场地位。","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=nesSN20251202110726a71e26f9&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=nesSN20251202110726a71e26f9&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":["BK4533","LU1894683264.USD","LU0868494617.USD","LU1880398471.USD","BK4588","BK4534","BK4538","LU1430594728.SGD","LU1674673691.USD","SMH","LU1894683348.USD","BK4134","BK4612","BK4543","BK4579","LU0321505868.SGD","LU1674673428.USD","LU1883839398.USD","BK4602","IBM","LU1585245621.USD","LU0321505439.SGD","SOXX","BK4585","LU1880398554.USD","BK4575","LU1778281490.HKD"],"gpt_icon":1},{"id":"2588306904","title":"IBM取得減少探測汽車數據傳輸的方法和系統專利","url":"https://stock-news.laohu8.com/highlight/detail?id=2588306904","media":"市场资讯","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2588306904?lang=zh_tw&edition=fundamental","pubTime":"2025-12-02 08:32","pubTimestamp":1764635571,"startTime":"0","endTime":"0","summary":"国家知识产权局信息显示，国际商业机器公司取得一项名为“减少探测汽车数据传输的方法和系统”的专利，授权公告号CN116569232B，申请日期为2021年11月。声明：市场有风险，投资需谨慎。本文为AI基于第三方数据生成，仅供参考，不构成个人投资建议。财经频道更多独家策划、专家专栏，免费查阅>>","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=nesSN20251202084514a4c6b91b&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=nesSN20251202084514a4c6b91b&s=b","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":"tencent","symbols":["IBM","BK4134","BK4602","LU1880398471.USD","LU1674673428.USD","BK4533","BK4534","LU1585245621.USD","LU1880398554.USD","LU1883839398.USD","LU0321505868.SGD","LU1894683348.USD","BK4585","BK4588","BK4612","LU1894683264.USD","BK4575","BK4538","BK4579","LU0868494617.USD","LU0321505439.SGD","BK4543","LU1778281490.HKD","LU1674673691.USD","LU1430594728.SGD"],"gpt_icon":0},{"id":"1105365275","title":"加拿大政府：聯邦投資高達2.1億加元用於與IBM加拿大及C2MI共同擴展半導體能力的6.62億加元項目","url":"https://stock-news.laohu8.com/highlight/detail?id=1105365275","media":"美股速递","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1105365275?lang=zh_tw&edition=fundamental","pubTime":"2025-11-28 22:35","pubTimestamp":1764340527,"startTime":"0","endTime":"0","summary":"加拿大政府：联邦投资高达2.1亿加元用于与IBM加拿大及C2MI共同扩展半导体能力的6.62亿加元项目","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":["BK4612","IBM","BK4579","LU1883839398.USD","LU0868494617.USD","BK4538","LU1894683348.USD","LU0321505868.SGD","BK4575","LU1674673428.USD","BK4543","LU1880398554.USD","LU1880398471.USD","BK4588","LU1430594728.SGD","LU0321505439.SGD","LU1585245621.USD","BK4534","BK4533","LU1778281490.HKD","BK4602","BK4585","LU1674673691.USD","LU1894683264.USD","BK4134"],"gpt_icon":0},{"id":"2586070780","title":"IBM據悉將在加拿大擴大芯片產能。","url":"https://stock-news.laohu8.com/highlight/detail?id=2586070780","media":"格隆汇","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2586070780?lang=zh_tw&edition=fundamental","pubTime":"2025-11-28 22:04","pubTimestamp":1764338692,"startTime":"0","endTime":"0","summary":null,"market":"sg","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":["BK4579","LU1585245621.USD","IBM","LU1880398554.USD","159813","BK4543","LU0321505439.SGD","LU1430594728.SGD","LU1674673428.USD","BK4575","BK4588","LU1674673691.USD","BK4585","LU1880398471.USD","BK4533","LU1883839398.USD","LU1894683264.USD","BK4538","LU1778281490.HKD","LU0868494617.USD","BK4534","LU0321505868.SGD","BK4612","BK4134","LU1894683348.USD","BK4602"],"gpt_icon":0},{"id":"2586699209","title":"消息人士稱中國百度第三季度虧損後開始裁員","url":"https://stock-news.laohu8.com/highlight/detail?id=2586699209","media":"路透中文","labels":["executive"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2586699209?lang=zh_tw&edition=fundamental","pubTime":"2025-11-28 15:14","pubTimestamp":1764314070,"startTime":"0","endTime":"0","summary":"消息人士称中国百度第三季度亏损后开始裁员路透北京/上海11月28日 - 六位知情人士透露，中国百度9888.HK本周开始裁员，将对多个业务部门造成冲击，因为该公司正努力应对人工智能领域日益激烈的竞争和广告收入的下降。路透无法确定全公司裁员人数，但消息人士称，内部认为裁员规模很大。在裁员之前，百度连续两个季度营收下滑；第三季度总营收下降7%，在线广告营收下降18%。","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:20251128:nL4S3X40CW:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"executive","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["IE00BMPRXN33.USD","LU1934455277.USD","LU0650527681.SGD","LU0326948709.USD","IBM","LU0577902611.USD","LU2097828474.EUR","LU0029874905.USD","HTCD.SI","LU0310799852.SGD","LU0882574139.USD","IE0004445239.USD","LU1023057109.AUD","89888","LU1267930490.SGD","LU0211977185.USD","TCHmain","IE00B543WZ88.USD","SG9999002224.SGD","USAW.SI","LU0307460666.USD","ALBmain","LU0611395673.USD","LU1066051498.USD","LU0054237671.USD","LU2449936058.SGD","LU0039217434.USD","HK0000306685.HKD","LU1267930730.SGD","LU1770036033.HKD","LU0823038988.USD","LU1861559042.SGD","09888","LU1674673428.USD","LU2092937148.SGD","SG9999001093.SGD","LU0048584097.USD","LU0314109678.HKD","LU2756315664.SGD","LU0128522744.USD","LU0327786744.USD","LU0648001328.SGD","LU1974910355.USD","BIDU","IE0003895053.USD","LU1115378108.SGD"],"gpt_icon":1},{"id":"2586430274","title":"1.4nm爭霸戰，打響！","url":"https://stock-news.laohu8.com/highlight/detail?id=2586430274","media":"半导体行业观察","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2586430274?lang=zh_tw&edition=fundamental","pubTime":"2025-11-28 09:20","pubTimestamp":1764292846,"startTime":"0","endTime":"0","summary":"另据台湾中央社的报道，中部科学园区已确认，台积电在台中 A14 厂区的 1.4nm 厂已经取得建设许可，将于 2025 年底前动工，目标 2028 年量产。除了台湾本地继续叠加 2nm 与 1.4nm，台积电也积极在海外加大扩张：今年3月份，台积电宣布，打算将美国亚利桑那三座厂与两座先进封装与一个大型研发中心，投资总额提高到1650亿美元。2025 年7 月，三星与特斯拉签署价值 165 亿美元、为期 8 年的 AI6 芯片代工协议。Exynos 2600被普遍视为首批在 SF2上大规模量产的SoC，将为202","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=nesSN20251128101024a71663a1&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=nesSN20251128101024a71663a1&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":["INTC","IE00BQXX3C00.GBP","LU0316494557.USD","IBM","LU2133065610.SGD","TSM","BK4141","LU0321505868.SGD","LU2360107168.USD","NVDD","HK0000306685.HKD","NVDY","LU2125909916.SGD","SNVD.UK","NVDU","BK4505","NVDS","IE00BYQQ9H92.USD","LU0211327993.USD","LU2471134879.HKD","NVD3.UK","LU2237443978.SGD","2NVD.UK","IE00BMPRXN33.USD","LU1868837136.USD","NVIW.SI","LU0143863784.USD","LU2148611432.USD","IE00BKDWB100.SGD","SGXZ23171101.USD","NVD","AI","LU0488056044.USD","LU0359201612.USD","TSYW.SI","LU1119994496.HKD","LU2322448791.USD","LU0472753341.HKD","NVDS.UK","LU1316542783.SGD","BK4503","LU0061474960.USD","3NVD.UK","NVD2.UK","IE0004445015.USD","03145"],"gpt_icon":1},{"id":"2586622473","title":"AMD聯手IBM與Zyphra發布ZAYA1：14T tokens預訓練，架構創新性能對標Qwen3","url":"https://stock-news.laohu8.com/highlight/detail?id=2586622473","media":"ITBEAR科技资讯","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2586622473?lang=zh_tw&edition=fundamental","pubTime":"2025-11-28 01:29","pubTimestamp":1764264562,"startTime":"0","endTime":"0","summary":"全球人工智能领域迎来一项重要突破——AMD联合IBM与AI初创企业Zyphra共同推出名为ZAYA1的混合专家基础模型。Zyphra团队表示，当前版本为预训练基础模型，后续将发布经过指令微调的增强版本。AMD方面透露，此次合作验证了MI300X加速器与ROCm软件栈在大规模MoE模型训练中的可行性。这项进展为AI训练硬件生态的多元化发展提供了新的技术路径选择。","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=nesSN20251128015448951e1edf&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=nesSN20251128015448951e1edf&s=b","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":"tencent","symbols":["LU1861558580.USD","LU0127658192.USD","LU2098885051.SGD","BK4566","LU0823434583.USD","BK4532","LU1923623000.USD","LU1951198990.SGD","LU0109392836.USD","LU1894683264.USD","LU0868494617.USD","BK4585","BK4612","LU1585245621.USD","LU0823434740.USD","LU1674673691.USD","LU0082616367.USD","LU0056508442.USD","LU1880398554.USD","LU1951200564.SGD","BK4575","LU0198837287.USD","LU1430594728.SGD","LU1242518857.USD","LU0274383776.USD","BK4538","BK4614","LU1880398471.USD","LU0823421416.USD","LU1064131342.USD","IE00BMPRXR70.SGD","LU1803068979.SGD","BK4529","BK4512","LU0823421333.USD","BK4141","BK4134","AMD","IBM","IE00BMPRXN33.USD","LU2458330169.SGD","LU2264538146.SGD","BK4534","LU0081259029.USD","LU1242518931.SGD","LU1852331112.SGD","BK4588","LU1894683348.USD","GFS","BK4602"],"gpt_icon":1},{"id":"2586256183","title":"背景資料-經濟形勢不明朗，美國企業加大裁員力度","url":"https://stock-news.laohu8.com/highlight/detail?id=2586256183","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2586256183?lang=zh_tw&edition=fundamental","pubTime":"2025-11-26 19:15","pubTimestamp":1764155706,"startTime":"0","endTime":"0","summary":"背景资料-经济形势不明朗，美国企业加大裁员力度新增泰森食品公司、惠普公司和加拿大贝尔公司；更新威瑞森公司。路透11月26日 - 美国各行各业的公司都在加紧裁员，延续了 ，因为在充满挑战的经济环境下，它们优先考虑节约成本和精简业务。","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:20251126:nL4S3X20TJ: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":["LU1699723380.USD","CHGG","LU1935043023.USD","VZ","LU0256863902.USD","CRWD","LU1366333091.USD","LU1983299246.USD","MCHP","BK4220","BIO","BK4178","LU1059921491.USD","XOM","LU1150488218.USD","IBM","HPQ","W","IE00BLSP4239.USD","RIVN","COP","APA","EL","KSS","USAW.SI","BK4575","DOW","LU1267930813.SGD","PG","TGT","CVX","SBUX","ADM","MTCH","TSN","LU1992135399.USD","HAL","LU1066053197.SGD","LU0708994859.HKD","UPS","SEDG","GM","LUV","LYB"],"gpt_icon":1},{"id":"2586236252","title":"中期將迎來多項增長點 Evercore ISI重申IBM(IBM.US)「跑贏大盤」評級","url":"https://stock-news.laohu8.com/highlight/detail?id=2586236252","media":"智通财经","labels":["dataReport"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2586236252?lang=zh_tw&edition=fundamental","pubTime":"2025-11-26 15:20","pubTimestamp":1764141646,"startTime":"0","endTime":"0","summary":"智通财经APP获悉，投行Evercore ISI重申了对IBM的“跑赢大盘”评级，目标价为315美元。该行此前与IBM首席执行官Arvind Krishna和全球投资者关系主管Olympia McNerney讨论了公司战略、管理层对宏观经济形势的看法、企业人工智能愿景、并购理念以及类似的热门话题。总体而言，该公司认为 IBM 的业务转型使其成为“一家持续增长的公司，拥有强劲的自由现金流、利润率扩张和令人羡慕的收入可见性”。总而言之，该行认为IBM中期内有多个增长点，维持315美元的目标价。","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://www.zhitongcaijing.com/content/detail/1373817.html","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":"stock_zhitongcaijing","symbols":["IBM","EVR"],"gpt_icon":1},{"id":"2586404116","title":"AMD 聯合 IBM 與 Zyphra 發布全球首款全 AMD 硬件訓練 MoE 模型 ZAYA1","url":"https://stock-news.laohu8.com/highlight/detail?id=2586404116","media":"牛透社","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2586404116?lang=zh_tw&edition=fundamental","pubTime":"2025-11-26 05:55","pubTimestamp":1764107700,"startTime":"0","endTime":"0","summary":"牛透社 11 月 25 日消息，AMD 联合 IBM 与人工智能初创公司 Zyphra 共同发布全球首个全 AMD 硬件训练的 MoE 基础模型 ZAYA1。该模型基于 IBM Cloud 提供的 128 个计算节点，峰值算力达 750 千万亿次浮点运算，采用卷积压缩注意力机制使显存占用降低 32%，线性路由架构在 70% 稀疏度下实现路由精度提升 2.3 个百分点。AMD 表示已验证 MI300X 加速卡与 ROCm 生态的大规模训练能力，计划 2026 年实现百亿参数级 MoE 模型的总体拥有成本与 NVIDIA 方案持平。","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=nesSN20251126060147977f4d30&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=nesSN20251126060147977f4d30&s=b","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":"tencent","symbols":["BK4532","BK4566","BK4529","BK4602","LU1861559042.SGD","LU1989764664.SGD","BK4538","LU0081259029.USD","LU2458330243.SGD","BK4534","LU0823434583.USD","LU1852331112.SGD","IBM","BK4512","LU1861558580.USD","LU0868494617.USD","LU1923623000.USD","IE0004445239.USD","BK4573","LU1242518931.SGD","IE00BMPRXN33.USD","LU1880398471.USD","LU2458330169.SGD","GFS","BK4533","LU2355687059.USD","BK4141","LU1951198990.SGD","LU0823421416.USD","LU0889565833.HKD","IE00BMPRXR70.SGD","AMD","LU1880398554.USD","LU0823421333.USD","LU2264538146.SGD","LU0979878070.USD","LU0109392836.USD","LU1674673428.USD","LU0823434740.USD","BK4134","BK4543","LU1951200564.SGD","LU0321505868.SGD","BK4605","LU0127658192.USD","LU2098885051.SGD","LU1303367103.USD","LU1894683348.USD","LU0198837287.USD","LU1883839398.USD"],"gpt_icon":0},{"id":"2586549081","title":"蘋果銷售團隊裁員","url":"https://stock-news.laohu8.com/highlight/detail?id=2586549081","media":"路透中文","labels":["executive"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2586549081?lang=zh_tw&edition=fundamental","pubTime":"2025-11-25 05:00","pubTimestamp":1764018043,"startTime":"0","endTime":"0","summary":"路透11月24日 - 苹果公司AAPL.O周一表示，该公司正在削减销售团队的工作岗位，以加强与客户的接触，并指出只有少数岗位会受到裁员的影响。苹果发言人告诉路透，公司正在继续招聘，受影响的员工可以申请新的职位。彭博社称，在苹果公司简报中心为机构会议和潜在客户进行产品演示的员工也受到了影响。报导称，裁员的主要目标之一是与美国国防部和司法部等机构合作的政府销售团队。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"9b6efb1826ad29f9582bb685b4e6c4f3","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20251124:nL4T3X018C:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"executive","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["IBM","LU0444973449.USD","LU1261432733.SGD","LU2505996681.GBP","VZ","BK4579","LU1868836757.USD","LU1935043023.USD","LU2361044949.HKD","LU2746668974.SGD","LU0784383803.USD","LU1206713676.USD","LU1674673428.USD","BK4134","LU0053666078.USD","LU0348723411.USD","LU2054465674.USD","LU2092937148.SGD","LU2756315318.SGD","LU0056508442.USD","LU1244550494.USD","LU2360032135.SGD","LU0265550946.USD","LU0823434583.USD","LU1917777945.USD","BK4553","LU2125154778.USD","LU1934455194.USD","MACW.SI","LU2750360997.AUD","LU1037948897.HKD","LU1718418525.SGD","LU0198837287.USD","LU0109392836.USD","AAPL","LU0225771236.USD","LU2065170008.USD","LU0345768153.USD","IE00B3SWFQ91.USD","LU0964807845.USD","LU2089283258.USD","LU0210536198.USD","BK4543","IE00B4JS1V06.HKD","LU1989771016.USD","IE0034235303.USD","LU2592432038.USD","LU2471134879.HKD","LU1366333091.USD","BK4575"],"gpt_icon":1},{"id":"2586490819","title":"蘋果銷售團隊裁員","url":"https://stock-news.laohu8.com/highlight/detail?id=2586490819","media":"路透中文","labels":["executive"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2586490819?lang=zh_tw&edition=fundamental","pubTime":"2025-11-25 05:00","pubTimestamp":1764018043,"startTime":"0","endTime":"0","summary":"路透11月24日 - 苹果公司AAPL.O周一表示，该公司正在削减销售团队的工作岗位，以加强与客户的接触，并指出只有少数岗位会受到裁员的影响。苹果发言人告诉路透，公司正在继续招聘，受影响的员工可以申请新的职位。彭博社称，在苹果公司简报中心为机构会议和潜在客户进行产品演示的员工也受到了影响。报道称，裁员的主要目标之一是与美国国防部和司法部等机构合作的政府销售团队。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"9b6efb1826ad29f9582bb685b4e6c4f3","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20251124:nL4S3X018C:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"executive","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU1366333091.USD","LU2381873111.SGD","BK4575","LU2756315664.SGD","LU1316542783.SGD","LU1935042991.SGD","LU0784384876.USD","LU1935042488.USD","LU2452424414.USD","LU1621768206.USD","LU2360106780.USD","LU2133065610.SGD","LU0949170426.SGD","SG9999001424.SGD","IE00B19Z9505.USD","BK4571","LU0345770308.USD","LU2487616109.SGD","BK4602","LU1145028129.USD","LU1582986359.USD","MACW.SI","LU1551013342.USD","IBM","BK4543","LU1127390331.HKD","LU1868836591.USD","LU2360032135.SGD","BK4598","LU0149725797.USD","LU0965509283.SGD","VZ","IE0004445239.USD","LU1506573853.SGD","LU0316494557.USD","LU0719512351.SGD","LU1430594728.SGD","LU1582987324.SGD","IE0004086264.USD","AAPL","LU0912757837.SGD","LU1291159041.SGD","LU1934455194.USD","IE00B3SWFQ91.USD","BK4588","LU1244550494.USD","LU0957808578.USD","LU0289739343.SGD","BK4576","LU2552382058.USD"],"gpt_icon":1},{"id":"2586449931","title":"BUZZ-摩根大通將 Brandywine Realty Trust 的評級下調至 \"減持 \"後下跌","url":"https://stock-news.laohu8.com/highlight/detail?id=2586449931","media":"路透中文","labels":["shareholding"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2586449931?lang=zh_tw&edition=fundamental","pubTime":"2025-11-25 00:47","pubTimestamp":1764002832,"startTime":"0","endTime":"0","summary":"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:20251124:nL4T3X010O:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"shareholding","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU1880398471.USD","LU1674673428.USD","BDN","IBM","LU1880398554.USD","BK4543","LU0321505868.SGD","BK4585","LU1894683264.USD","LU1894683348.USD","LU0868494617.USD","LU1778281490.HKD","BK4612","BK4223","BK4194","LU1430594728.SGD","LU1585245621.USD","BK4579","BK4588","BK4575","LU1674673691.USD","LU1883839398.USD","LU0321505439.SGD","BK4134","BK4602","BK4534","BK4538","BK4533"],"gpt_icon":0},{"id":"2585443434","title":"Wedbush：AI及高性能計算領域內存供應持續緊張","url":"https://stock-news.laohu8.com/highlight/detail?id=2585443434","media":"智通财经","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2585443434?lang=zh_tw&edition=fundamental","pubTime":"2025-11-24 10:08","pubTimestamp":1763950125,"startTime":"0","endTime":"0","summary":"Wedbush分析师则表示，此次大会几乎被人工智能与高性能计算相关的展示所主导，讨论也围绕NAND和DRAM的供应短缺展开，而这正导致内存价格飙升。Wedbush还特别强调了大会上对量子计算兴趣的进一步提升。此外，Wedbush考察了全球性能最强的500台超级计算机榜单中使用的处理器。Wedbush对英特尔的评级为“中性”，而AMD与英伟达均被评为“跑赢大盘”。","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/1372552.html","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":"stock_zhitongcaijing","symbols":["LU2092627202.USD","IE00B1BXHZ80.USD","NVD3.UK","LU1064131342.USD","NVDU","LU0786609619.USD","IE00BKDWB100.SGD","LU2250418816.HKD","LU2265009873.SGD","LU1116320901.HKD","NVD2.UK","LU0267386448.USD","NVDY","LU2360107168.USD","IBM","LU1261432733.SGD","NVD","LU1992135472.HKD","LU2092937148.SGD","BK4587","MU","SG9999001424.SGD","LU0689472784.USD","3NVD.UK","NVDS","LU2111349929.HKD","NVDS.UK","LU2077746001.SGD","NVDD","BK4585","LU1894683264.USD","NVDA","GFS","LU0724617625.USD","SG9999014559.SGD","2NVD.UK","LU2403377893.USD","LU0215105999.USD","LU0225283273.USD","NVIW.SI","IE0034235295.USD","LU0203345920.USD","IE00BJTD4V19.USD","SNVD.UK","LU0868494708.USD","IE0005OL40V9.USD"],"gpt_icon":1}],"pageSize":20,"totalPage":10,"pageCount":4,"totalSize":198,"code":"91000000","status":"200"}]}}