美股详情

本页面由Tiger Trade Technology Pte. Ltd.提供服务

高知特

85.41

+1.651.97%

盘后：85.410.00000.00%19:43 EST

成交量：1,746.08万

成交额：14.91亿

市值：412.23亿

市盈率：19.77

高：86.94

开：83.59

低：83.54

收：83.76

52周最高：90.82

52周最低：65.15

股本：4.83亿

流通股本：4.83亿

量比：2.83

换手率：3.62%

股息：1.24

股息率：1.45%

每股收益(TTM):4.32

每股收益(LYR):4.52

净资产收益率：14.50%

总资产收益率：10.16%

市净率：2.77

市盈率(LYR):18.91

数据加载中...

总览公司新闻资讯公告

Cognizant与Microsoft扩大合作，推动AI转型与打造前沿企业体验

高知特与微软达成协议，共同打造行业级人工智能解决方案，并在全球联合销售

高知特与微软扩展合作关系推动人工智能转型与前沿公司体验

Cognizant目标到2030年提升两百万人的技能水平

BUZZ-威廉-布莱尔将 Cognizant 的评级上调至 "跑赢大盘 "后，该公司股价上涨

Cognizant收购3Cloud，塑造行业领军力量

EPAM 上调 2025 年预测，因 IT 服务支出强劲

Cognizant借助Claude加速企业级AI规模化应用

高知特引入Anthropic的Claude推动企业级AI大规模采用，助力内部AI转型

媒体-Anthropic 成为 Cognizant 的企业人工智能客户 - 华尔街日报

高知特2025财年第三财季实现净利润2.74亿美元，同比减少52.92%

美国研究综述-Alphabet、波音、KLA

BUZZ--美国股票走势-Verisk, Fiserv, 波音公司

异动解读 | 高知特上调全年利润预期，盘中大涨10.85%

BUZZ-Cognizant 上调年度调整后利润预期后上涨

异动解读 | 高知特盘前大涨7.77%，上调年度利润预期推动股价上扬

客户支出强劲，Cognizant 上调年度调整后利润预期

人工智能推动美国资本支出创新高，回购退居次席

美国研究综述-美国运通、贝莱德、多米诺比萨

独家-埃森哲拟在印度安得拉邦新建园区，计划增加 12,000 个工作岗位

{"basename":"/hans","ssrTDKData":{"titleTemplate":"%s - 老虎证券","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":"老虎证券,老虎证券开户,老虎券商,老虎证券官网,老虎证券app,tigertrade老虎证券,股票,炒股,新加坡股票交易平台,投资,投资理财","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/hans/stock/CTSH/news"},"companyName":"老虎证券"},"pageData":{"isMobile":false,"isTiger":false,"isTTM":true,"region":"SGP","license":"TBSG","edition":"fundamental","symbol":"CTSH","isAnalysisPage":false},"__swrFallback__":{"@#url:\"https://hq.skytigris.cn/stock_info/detail/global\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"CTSH\",,,,,undefined,":{"symbol":"CTSH","market":"US","secType":"STK","nameCN":"高知特","latestPrice":85.41,"timestamp":1766178000000,"preClose":83.76,"halted":0,"volume":17460759,"hourTrading":{"tag":"盘后","latestPrice":85.41,"preClose":85.41,"latestTime":"19:43 EST","volume":3141454,"amount":268311988.40428,"timestamp":1766191405369},"delay":0,"floatShares":482646473,"shares":482646473,"eps":4.320243,"marketStatus":"休市中","change":1.65,"latestTime":"12-19 16:00:00 EST","open":83.59,"high":86.94,"low":83.535,"amount":1491136770.67629,"amplitude":0.040652,"askPrice":0,"askSize":0,"bidPrice":0,"bidSize":0,"shortable":3,"etf":0,"ttmEps":4.320243,"tradingStatus":0,"nextMarketStatus":{"tag":"盘前交易","tradingStatus":1,"beginTime":1766394000000},"marketStatusCode":7,"adr":0,"adrRate":0,"listingDate":898142400000,"exchange":"NASDAQ","adjPreClose":83.76,"dividendRate":0.014518,"preHourTrading":{"tag":"盘前","latestPrice":83.53,"preClose":83.76,"latestTime":"09:29 EST","volume":267,"amount":22361.10048,"timestamp":1766154586049},"postHourTrading":{"tag":"盘后","latestPrice":85.41,"preClose":85.41,"latestTime":"19:43 EST","volume":3141454,"amount":268311988.40428,"timestamp":1766191405369},"volumeRatio":2.8335465736092567,"impliedVol":0.2757,"impliedVolPercentile":0.392},"@#url:\"https://hq.skytigris.cn/stock_info/fundamental/all\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"CTSH\",,,,,undefined,":{"symbol":"CTSH","floatShares":482646473,"roa":"10.16%","roe":"14.50%","lyrEps":4.516129,"volumeRatio":2.8335465736092567,"shares":482646473,"dividePrice":1.24,"high":86.94,"amplitude":0.040652,"preClose":83.76,"low":83.535,"week52Low":65.15,"pbRate":"2.77","psRate":"1.98","week52High":90.82,"institutionHeld":0.8643,"latestPrice":85.41,"eps":4.320243,"divideRate":0.014518,"volume":17460759,"delay":0,"ttmEps":4.320243,"open":83.59,"prevYearClose":76.9,"prevWeekClose":83.94,"prevMonthClose":77.71,"prevQuarterClose":67.07,"fiveDayClose":83.94,"twentyDayClose":72.35,"sixtyDayClose":66.67,"dividendPayoutRate":0.26571428761224486,"dividendFrequency":"Q","dividendGrowthYears":7,"dividendGrowthRate":0.03448275862068969,"fiveYearAvgDividendRate":0.014305269148006141},"@#url:\"https://hq.skytigris.cn/fundamental/corporate_actions/details/CTSH\",params:#limit:5,,,undefined,":[{"date":"2025-11-18","symbol":"CTSH","amount":0.31,"announcedDate":"2025-10-29","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2025-11-18","defaultRemindTime":1763476200000,"name":"高知特","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2025-11-26","payableDate":"2025-11-18","currency":"USD","dateTimestamp":1763442000000,"payDate":"2025-11-26"},{"market":"US","date":"2025-10-29","symbol":"CTSH","fiscalQuarterEnding":"2025/09","expectedEps":1.29,"name":null,"time":"盘前","type":"earning","dateTimestamp":1761710400000,"reportTimeType":"pre","actualEps":1.39},{"date":"2025-08-18","symbol":"CTSH","amount":0.31,"announcedDate":"2025-07-30","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2025-08-18","defaultRemindTime":1755523800000,"name":"高知特","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2025-08-26","payableDate":"2025-08-18","currency":"USD","dateTimestamp":1755489600000,"payDate":"2025-08-26"},{"market":"US","date":"2025-07-30","symbol":"CTSH","fiscalQuarterEnding":"2025/06","expectedEps":1.26,"name":null,"time":"盘后","type":"earning","dateTimestamp":1753848000000,"reportTimeType":"post","actualEps":1.31},{"date":"2025-05-19","symbol":"CTSH","amount":0.31,"announcedDate":"2025-04-30","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2025-05-19","defaultRemindTime":1747661400000,"name":"高知特","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2025-05-28","payableDate":"2025-05-19","currency":"USD","dateTimestamp":1747627200000,"payDate":"2025-05-28"}],"@#url:\"https://hq.skytigris.cn/fundamental/dividend/history\",params:#symbol:\"CTSH\",market:\"US\",,,undefined,":[{"executeDate":"2017-05-18","recordDate":"2017-05-22","paymentDate":"2017-05-31","value":0.15,"currency":"USD"},{"executeDate":"2017-08-18","recordDate":"2017-08-22","paymentDate":"2017-08-31","value":0.15,"currency":"USD"},{"executeDate":"2017-11-17","recordDate":"2017-11-20","paymentDate":"2017-11-30","value":0.15,"currency":"USD"},{"executeDate":"2018-02-21","recordDate":"2018-02-22","paymentDate":"2018-02-28","value":0.2,"currency":"USD"},{"executeDate":"2018-05-21","recordDate":"2018-05-22","paymentDate":"2018-05-31","value":0.2,"currency":"USD"}],"@#url:\"https://hq.skytigris.cn/fundamental/estimate/recommendation\",params:#symbol:\"CTSH\",market:\"US\",delay:false,,,undefined,":{"strongBuy":0.1071,"buy":0.3571,"hold":0.5357,"sell":0,"strongSell":0,"meanLabel":"BUY","meanPercent":0.3571,"analysts":28,"updateTime":1763787600000},"@#url:\"https://hq.skytigris.cn/value_analysis/stock/CTSH\",params:#withQuantilePoint:true,period:\"5year\",factor:\"peRate\",delay:false,algorithm:1,,,undefined,":{"brief":{"id":"CTSH","date":"2025-12-19","current":19.769721,"percent":0.706076,"low":11.387359,"twenty":14.400159,"median":16.931121,"eighty":23.146865,"high":31.210739,"avg":18.395099,"sd":4.634418,"marketCap":40426468578},"quantilePoints":[{"date":"2020-12-24","current":29.465227,"twenty":17.77683,"median":23.214216,"eighty":28.145473,"marketCap":43343348869},{"date":"2020-12-31","current":29.785067,"twenty":17.77683,"median":23.214216,"eighty":28.172688,"marketCap":43813832982},{"date":"2021-01-08","current":29.785067,"twenty":17.77683,"median":23.214216,"eighty":28.253339,"marketCap":43813832982},{"date":"2021-01-15","current":29.16356,"twenty":17.77683,"median":23.214216,"eighty":28.285912,"marketCap":42899596808},{"date":"2021-01-22","current":29.279865,"twenty":17.77683,"median":23.214216,"eighty":28.326249,"marketCap":43070681940},{"date":"2021-01-29","current":28.33125,"twenty":17.77683,"median":23.214216,"eighty":28.379232,"marketCap":41675268834},{"date":"2021-02-05","current":28.61405,"twenty":17.77683,"median":23.214216,"eighty":28.479408,"marketCap":39830757256},{"date":"2021-02-12","current":29.33626,"twenty":17.77683,"median":23.241428,"eighty":28.545441,"marketCap":40836073295},{"date":"2021-02-19","current":28.070714,"twenty":17.77683,"median":23.241428,"eighty":28.552719,"marketCap":39074433959},{"date":"2021-02-26","current":28.009724,"twenty":17.77683,"median":23.241428,"eighty":28.557182,"marketCap":38989535677},{"date":"2021-03-05","current":28.097397,"twenty":17.771311,"median":23.23602,"eighty":28.565497,"marketCap":39111576957},{"date":"2021-03-12","current":29.645022,"twenty":17.771311,"median":23.23602,"eighty":28.617235,"marketCap":41265870844},{"date":"2021-03-19","current":29.179972,"twenty":17.771311,"median":23.23602,"eighty":28.696979,"marketCap":40618521449},{"date":"2021-03-26","current":30.205369,"twenty":17.77683,"median":23.241428,"eighty":28.742385,"marketCap":42045873803},{"date":"2021-04-01","current":30.068141,"twenty":17.77683,"median":23.241428,"eighty":28.783532,"marketCap":41854852671},{"date":"2021-04-09","current":30.704726,"twenty":17.771311,"median":23.23602,"eighty":28.849227,"marketCap":42740978481},{"date":"2021-04-16","current":30.731409,"twenty":17.771311,"median":23.23602,"eighty":28.921374,"marketCap":42778121479},{"date":"2021-04-23","current":29.878018,"twenty":17.771311,"median":23.23602,"eighty":28.9686,"marketCap":41590200942},{"date":"2021-04-30","current":30.527292,"twenty":17.771311,"median":23.23602,"eighty":29.019314,"marketCap":42493991050},{"date":"2021-05-07","current":25.789752,"twenty":17.771311,"median":23.23602,"eighty":29.026051,"marketCap":39458320101},{"date":"2021-05-14","current":24.478116,"twenty":17.771311,"median":23.23602,"eighty":29.026051,"marketCap":37451517882},{"date":"2021-05-21","current":24.5574,"twenty":17.771311,"median":23.23602,"eighty":29.026051,"marketCap":37572822616},{"date":"2021-05-28","current":24.667709,"twenty":17.771311,"median":23.23602,"eighty":29.026051,"marketCap":37741594419},{"date":"2021-06-04","current":24.647026,"twenty":17.771311,"median":23.23602,"eighty":29.026051,"marketCap":37709949706},{"date":"2021-06-11","current":24.560848,"twenty":17.771311,"median":23.23602,"eighty":29.026051,"marketCap":37578096735},{"date":"2021-06-18","current":23.550837,"twenty":17.771311,"median":23.23602,"eighty":29.026051,"marketCap":36032779914},{"date":"2021-06-25","current":24.298865,"twenty":17.771311,"median":23.23602,"eighty":29.026051,"marketCap":37177263703},{"date":"2021-07-02","current":23.995517,"twenty":17.771311,"median":23.250337,"eighty":29.026051,"marketCap":36713141245},{"date":"2021-07-09","current":23.833502,"twenty":17.771311,"median":23.260491,"eighty":29.026051,"marketCap":36465257659},{"date":"2021-07-16","current":23.523259,"twenty":17.771311,"median":23.260491,"eighty":29.026051,"marketCap":35990586964},{"date":"2021-07-23","current":23.885209,"twenty":17.771311,"median":23.250337,"eighty":29.026051,"marketCap":36544369442},{"date":"2021-07-30","current":22.990578,"twenty":17.771311,"median":23.218823,"eighty":29.026051,"marketCap":38647162116},{"date":"2021-08-06","current":22.824864,"twenty":17.771311,"median":23.205895,"eighty":29.026051,"marketCap":38368595600},{"date":"2021-08-13","current":24.272523,"twenty":17.771311,"median":23.21182,"eighty":29.026051,"marketCap":40802110636},{"date":"2021-08-20","current":23.98174,"twenty":17.771311,"median":23.250337,"eighty":29.026051,"marketCap":40313305240},{"date":"2021-08-27","current":24.150582,"twenty":17.771311,"median":23.281851,"eighty":29.026051,"marketCap":40597127728},{"date":"2021-09-03","current":23.93484,"twenty":17.771311,"median":23.316867,"eighty":29.026051,"marketCap":40234465660},{"date":"2021-09-10","current":23.844166,"twenty":17.771311,"median":23.355384,"eighty":29.026051,"marketCap":40082042472},{"date":"2021-09-17","current":23.600284,"twenty":17.771311,"median":23.418935,"eighty":29.026051,"marketCap":39672076656},{"date":"2021-09-24","current":24.269396,"twenty":17.771311,"median":23.446424,"eighty":29.026051,"marketCap":40796854664},{"date":"2021-10-01","current":23.534623,"twenty":17.771311,"median":23.468962,"eighty":29.026051,"marketCap":39561701244},{"date":"2021-10-08","current":23.60341,"twenty":17.771311,"median":23.470935,"eighty":29.026051,"marketCap":39677332628},{"date":"2021-10-15","current":24.647726,"twenty":17.771311,"median":23.515847,"eighty":29.026051,"marketCap":41432827276},{"date":"2021-10-22","current":24.70088,"twenty":17.771311,"median":23.554973,"eighty":29.026051,"marketCap":41522178800},{"date":"2021-10-29","current":21.852375,"twenty":17.771311,"median":23.568072,"eighty":29.026051,"marketCap":41016907908},{"date":"2021-11-05","current":22.361676,"twenty":17.771311,"median":23.568072,"eighty":29.026051,"marketCap":41972866063},{"date":"2021-11-12","current":22.940936,"twenty":17.771311,"median":23.568072,"eighty":29.026051,"marketCap":43060137153},{"date":"2021-11-19","current":22.943735,"twenty":17.771311,"median":23.568072,"eighty":29.026051,"marketCap":43065389670},{"date":"2021-11-26","current":21.939124,"twenty":17.771311,"median":23.568072,"eighty":29.026051,"marketCap":41179735945},{"date":"2021-12-03","current":21.972704,"twenty":17.771311,"median":23.568072,"eighty":29.026051,"marketCap":41242766153},{"date":"2021-12-10","current":22.974516,"twenty":17.771311,"median":23.568072,"eighty":29.026051,"marketCap":43123167361},{"date":"2021-12-17","current":23.73567,"twenty":17.771311,"median":23.572143,"eighty":29.026051,"marketCap":44551852077},{"date":"2021-12-23","current":24.147028,"twenty":17.771311,"median":23.596991,"eighty":29.026051,"marketCap":45323972126},{"date":"2021-12-31","current":24.827029,"twenty":17.771311,"median":23.621502,"eighty":29.026051,"marketCap":46600333840},{"date":"2022-01-07","current":24.463243,"twenty":17.77683,"median":23.657682,"eighty":29.025041,"marketCap":45917506586},{"date":"2022-01-14","current":24.401679,"twenty":17.77683,"median":23.686999,"eighty":29.025041,"marketCap":45801951204},{"date":"2022-01-21","current":23.578962,"twenty":17.77683,"median":23.706933,"eighty":29.025041,"marketCap":44257711106},{"date":"2022-01-28","current":23.629332,"twenty":17.77683,"median":23.718176,"eighty":29.025041,"marketCap":44352256418},{"date":"2022-02-04","current":24.295341,"twenty":17.77683,"median":23.751277,"eighty":29.025041,"marketCap":45602355545},{"date":"2022-02-11","current":24.440856,"twenty":17.77683,"median":23.812499,"eighty":29.025041,"marketCap":45875486447},{"date":"2022-02-18","current":21.197392,"twenty":17.77683,"median":23.825846,"eighty":29.025041,"marketCap":45298827746},{"date":"2022-02-25","current":21.609755,"twenty":17.77683,"median":23.825846,"eighty":29.025041,"marketCap":46180046257},{"date":"2022-03-04","current":21.815936,"twenty":17.77683,"median":23.825846,"eighty":29.025041,"marketCap":46620655512},{"date":"2022-03-11","current":21.609755,"twenty":17.77683,"median":23.825846,"eighty":29.025041,"marketCap":46180046257},{"date":"2022-03-18","current":22.513025,"twenty":17.77683,"median":23.825846,"eighty":29.025041,"marketCap":48110334424},{"date":"2022-03-25","current":22.46148,"twenty":17.77683,"median":23.825846,"eighty":29.025041,"marketCap":48000182110},{"date":"2022-04-01","current":22.093299,"twenty":17.77683,"median":23.825846,"eighty":29.025041,"marketCap":47213379868},{"date":"2022-04-08","current":21.835572,"twenty":17.77683,"median":23.825846,"eighty":29.025041,"marketCap":46662618298},{"date":"2022-04-14","current":20.799757,"twenty":17.77683,"median":23.825846,"eighty":29.025041,"marketCap":44449081324},{"date":"2022-04-22","current":20.41194,"twenty":17.77683,"median":23.825846,"eighty":29.025041,"marketCap":43620316296},{"date":"2022-04-29","current":19.729878,"twenty":17.77683,"median":23.825846,"eighty":29.025041,"marketCap":42162749756},{"date":"2022-05-06","current":17.931229,"twenty":17.754643,"median":23.825846,"eighty":29.025041,"marketCap":39359048245},{"date":"2022-05-13","current":17.423114,"twenty":17.678335,"median":23.825846,"eighty":29.025041,"marketCap":38243736232},{"date":"2022-05-20","current":16.817651,"twenty":17.624685,"median":23.825846,"eighty":29.025041,"marketCap":36914742945},{"date":"2022-05-27","current":17.743654,"twenty":17.542474,"median":23.825846,"eighty":29.025041,"marketCap":38947320913},{"date":"2022-06-03","current":17.465853,"twenty":17.504747,"median":23.825846,"eighty":29.025041,"marketCap":38337547523},{"date":"2022-06-10","current":16.599209,"twenty":17.476792,"median":23.825846,"eighty":29.025041,"marketCap":36435263014},{"date":"2022-06-17","current":15.789549,"twenty":17.434361,"median":23.825846,"eighty":29.025041,"marketCap":34658060227},{"date":"2022-06-24","current":16.682312,"twenty":17.410607,"median":23.828532,"eighty":29.026051,"marketCap":36617673857},{"date":"2022-07-01","current":16.152827,"twenty":17.351322,"median":23.828532,"eighty":29.026051,"marketCap":35455456199},{"date":"2022-07-08","current":15.913016,"twenty":17.271822,"median":23.828532,"eighty":29.026051,"marketCap":34929070622},{"date":"2022-07-15","current":15.63759,"twenty":17.243784,"median":23.814024,"eighty":29.026051,"marketCap":34324508970},{"date":"2022-07-22","current":16.406885,"twenty":17.192313,"median":23.73567,"eighty":29.026051,"marketCap":36013112205},{"date":"2022-07-29","current":15.570205,"twenty":17.114901,"median":23.697211,"eighty":29.026051,"marketCap":35188663638},{"date":"2022-08-05","current":15.744328,"twenty":17.050988,"median":23.662817,"eighty":29.026051,"marketCap":35582180183},{"date":"2022-08-12","current":15.987182,"twenty":17.02798,"median":23.60341,"eighty":29.026051,"marketCap":36131032206},{"date":"2022-08-19","current":15.716835,"twenty":16.977516,"median":23.572143,"eighty":29.026051,"marketCap":35520045992},{"date":"2022-08-26","current":14.823312,"twenty":16.920646,"median":23.523259,"eighty":29.026051,"marketCap":33500684776},{"date":"2022-09-02","current":14.280325,"twenty":16.892012,"median":23.470321,"eighty":29.026051,"marketCap":32273534499},{"date":"2022-09-09","current":15.00889,"twenty":16.811952,"median":23.373254,"eighty":29.026051,"marketCap":33920090567},{"date":"2022-09-16","current":14.250541,"twenty":16.762571,"median":23.271981,"eighty":29.026051,"marketCap":32206222459},{"date":"2022-09-23","current":13.483028,"twenty":16.702606,"median":23.203193,"eighty":29.026051,"marketCap":30471642953},{"date":"2022-09-30","current":13.159985,"twenty":16.656813,"median":23.155688,"eighty":29.026051,"marketCap":29741566206},{"date":"2022-10-07","current":13.400549,"twenty":16.620373,"median":23.048579,"eighty":29.026051,"marketCap":30285240380},{"date":"2022-10-14","current":13.425751,"twenty":16.602614,"median":22.999958,"eighty":29.026051,"marketCap":30342196722},{"date":"2022-10-21","current":13.810653,"twenty":16.575432,"median":22.940936,"eighty":29.024009,"marketCap":31212075399},{"date":"2022-10-28","current":14.43841,"twenty":16.559144,"median":22.898961,"eighty":28.96065,"marketCap":32630806099},{"date":"2022-11-04","current":11.534194,"twenty":16.505264,"median":22.84675,"eighty":28.938946,"marketCap":27047684966},{"date":"2022-11-11","current":12.803109,"twenty":16.469927,"median":22.7875,"eighty":28.938946,"marketCap":30023290057},{"date":"2022-11-18","current":13.142801,"twenty":16.447483,"median":22.733945,"eighty":28.938946,"marketCap":30819868277},{"date":"2022-11-25","current":13.350999,"twenty":16.422297,"median":22.677909,"eighty":28.938946,"marketCap":31308093637},{"date":"2022-12-02","current":13.673159,"twenty":16.396664,"median":22.65696,"eighty":28.938946,"marketCap":32063558142},{"date":"2022-12-09","current":12.785576,"twenty":16.371042,"median":22.59394,"eighty":28.938946,"marketCap":29982176342},{"date":"2022-12-16","current":12.176322,"twenty":16.345071,"median":22.56324,"eighty":28.938946,"marketCap":28553474761},{"date":"2022-12-23","current":12.277134,"twenty":16.333363,"median":22.505721,"eighty":28.938946,"marketCap":28789878620},{"date":"2022-12-30","current":12.533547,"twenty":16.312495,"median":22.466172,"eighty":28.938946,"marketCap":29391166696},{"date":"2023-01-06","current":13.094587,"twenty":16.292453,"median":22.466172,"eighty":28.938946,"marketCap":30706805562},{"date":"2023-01-13","current":14.03915,"twenty":16.277473,"median":22.45613,"eighty":28.938946,"marketCap":32921806933},{"date":"2023-01-20","current":13.749864,"twenty":16.259689,"median":22.419312,"eighty":28.938946,"marketCap":32243430643},{"date":"2023-01-27","current":14.400758,"twenty":16.242449,"median":22.392534,"eighty":28.938946,"marketCap":33769777296},{"date":"2023-02-03","current":15.16331,"twenty":16.194543,"median":22.361676,"eighty":28.938946,"marketCap":34723980000},{"date":"2023-02-10","current":14.829904,"twenty":16.173897,"median":22.268689,"eighty":28.84372,"marketCap":33960480000},{"date":"2023-02-17","current":14.562712,"twenty":16.161118,"median":22.191704,"eighty":28.759986,"marketCap":33348611586},{"date":"2023-02-24","current":14.195753,"twenty":16.146794,"median":22.009845,"eighty":28.72331,"marketCap":32508275466},{"date":"2023-03-03","current":13.908858,"twenty":16.138078,"median":21.948481,"eighty":28.623467,"marketCap":31851285409},{"date":"2023-03-10","current":13.428476,"twenty":16.115503,"median":21.82719,"eighty":28.556138,"marketCap":30751209034},{"date":"2023-03-17","current":12.852461,"twenty":16.105606,"median":21.676654,"eighty":28.525995,"marketCap":29432135974},{"date":"2023-03-24","current":13.043725,"twenty":16.083496,"median":21.609755,"eighty":28.394491,"marketCap":29870129345},{"date":"2023-03-31","current":13.550795,"twenty":16.059612,"median":21.512329,"eighty":28.358548,"marketCap":31031321074},{"date":"2023-04-06","current":13.490747,"twenty":16.040347,"median":21.36921,"eighty":28.258018,"marketCap":30893811527},{"date":"2023-04-14","current":13.479627,"twenty":16.02566,"median":21.204756,"eighty":28.130473,"marketCap":30868346796},{"date":"2023-04-21","current":13.337292,"twenty":16.015659,"median":21.12621,"eighty":28.070133,"marketCap":30542398241},{"date":"2023-04-28","current":13.120993,"twenty":15.986031,"median":20.903028,"eighty":28.037061,"marketCap":30047073938},{"date":"2023-05-05","current":13.827496,"twenty":15.959877,"median":20.724689,"eighty":27.980223,"marketCap":31900032884},{"date":"2023-05-12","current":13.611922,"twenty":15.929262,"median":20.624385,"eighty":27.885004,"marketCap":31402704977},{"date":"2023-05-19","current":13.994675,"twenty":15.877043,"median":20.460019,"eighty":27.750573,"marketCap":32285715750},{"date":"2023-05-26","current":13.673515,"twenty":15.829792,"median":20.357036,"eighty":27.704154,"marketCap":31544798664},{"date":"2023-06-02","current":13.680114,"twenty":15.808131,"median":20.307765,"eighty":27.633186,"marketCap":31560022988},{"date":"2023-06-09","current":13.704311,"twenty":15.766019,"median":20.201866,"eighty":27.436647,"marketCap":31615845508},{"date":"2023-06-16","current":14.241045,"twenty":15.741201,"median":20.092013,"eighty":27.277667,"marketCap":32854090501},{"date":"2023-06-23","current":13.770303,"twenty":15.696621,"median":20.035567,"eighty":27.058967,"marketCap":31768088745},{"date":"2023-06-30","current":14.19705,"twenty":15.637503,"median":19.831481,"eighty":26.85223,"marketCap":32752595010},{"date":"2023-07-07","current":14.234446,"twenty":15.593721,"median":19.776736,"eighty":26.54084,"marketCap":32838866177},{"date":"2023-07-14","current":14.889965,"twenty":15.470007,"median":19.749363,"eighty":26.081681,"marketCap":34351148996},{"date":"2023-07-21","current":14.68539,"twenty":15.355801,"median":19.719254,"eighty":25.933999,"marketCap":33879194962},{"date":"2023-07-28","current":14.582003,"twenty":15.310338,"median":19.673786,"eighty":25.743993,"marketCap":33640680558},{"date":"2023-08-04","current":16.229032,"twenty":15.197235,"median":19.593339,"eighty":25.588954,"marketCap":35590266894},{"date":"2023-08-11","current":16.369513,"twenty":15.197235,"median":19.519433,"eighty":25.344076,"marketCap":35898342143},{"date":"2023-08-18","current":15.908919,"twenty":15.197235,"median":19.429104,"eighty":25.066009,"marketCap":34888259359},{"date":"2023-08-25","current":16.127701,"twenty":15.197235,"median":19.366146,"eighty":24.927316,"marketCap":35368048681},{"date":"2023-09-01","current":16.49157,"twenty":15.197235,"median":18.981453,"eighty":24.766344,"marketCap":36166014081},{"date":"2023-09-08","current":16.408664,"twenty":15.197235,"median":18.847859,"eighty":24.694342,"marketCap":35984199180},{"date":"2023-09-15","current":16.34418,"twenty":15.196543,"median":18.680539,"eighty":24.666975,"marketCap":35842787590},{"date":"2023-09-19","current":16.171458,"twenty":15.196543,"median":18.580528,"eighty":24.652074,"marketCap":35464006546},{"date":"2023-09-29","current":15.623351,"twenty":15.1916,"median":18.531258,"eighty":24.593711,"marketCap":34262008033},{"date":"2023-10-06","current":15.591109,"twenty":15.1916,"median":18.393301,"eighty":24.562836,"marketCap":34191302238},{"date":"2023-10-13","current":15.190392,"twenty":15.189155,"median":18.244577,"eighty":24.553595,"marketCap":33312530216},{"date":"2023-10-20","current":15.070638,"twenty":15.154687,"median":18.123019,"eighty":24.513277,"marketCap":33049908692},{"date":"2023-10-23","current":15.139727,"twenty":15.143412,"median":18.114755,"eighty":24.508661,"marketCap":33201421110},{"date":"2023-11-02","current":15.579205,"twenty":15.105999,"median":18.034332,"eighty":24.448946,"marketCap":32544960000},{"date":"2023-11-10","current":15.517626,"twenty":15.100712,"median":17.850066,"eighty":24.400043,"marketCap":32416321098},{"date":"2023-11-17","current":16.436923,"twenty":15.100712,"median":17.782349,"eighty":24.368497,"marketCap":34336731150},{"date":"2023-11-24","current":17.08259,"twenty":15.100712,"median":17.745749,"eighty":24.287099,"marketCap":35685530898},{"date":"2023-12-01","current":16.89297,"twenty":15.100712,"median":17.675362,"eighty":24.248981,"marketCap":35289414987},{"date":"2023-12-07","current":16.830564,"twenty":15.105999,"median":17.613244,"eighty":24.217065,"marketCap":35159047725},{"date":"2023-12-15","current":17.925078,"twenty":15.100712,"median":17.557114,"eighty":24.170094,"marketCap":37445488935},{"date":"2023-12-22","current":17.800265,"twenty":15.095426,"median":17.554299,"eighty":24.132794,"marketCap":37184754411},{"date":"2023-12-29","current":18.203508,"twenty":15.09014,"median":17.551483,"eighty":24.082666,"marketCap":38027127488},{"date":"2024-01-05","current":17.663451,"twenty":15.089455,"median":17.546658,"eighty":24.070391,"marketCap":36898949260},{"date":"2024-01-12","current":17.973084,"twenty":15.089455,"median":17.524135,"eighty":24.004877,"marketCap":37545771444},{"date":"2024-01-19","current":18.160303,"twenty":15.088771,"median":17.506436,"eighty":23.975067,"marketCap":37936873230},{"date":"2024-01-26","current":18.79397,"twenty":15.089455,"median":17.524135,"eighty":23.933743,"marketCap":39260602351},{"date":"2024-02-02","current":18.693159,"twenty":15.089455,"median":17.524135,"eighty":23.891065,"marketCap":39050009082},{"date":"2024-02-09","current":18.341204,"twenty":15.089455,"median":17.524135,"eighty":23.877388,"marketCap":38993400000},{"date":"2024-02-16","current":18.269819,"twenty":15.089455,"median":17.524135,"eighty":23.877388,"marketCap":38841635336},{"date":"2024-02-23","current":18.607022,"twenty":15.089455,"median":17.524135,"eighty":23.877388,"marketCap":39558527862},{"date":"2024-03-01","current":18.503987,"twenty":15.09014,"median":17.541833,"eighty":23.875433,"marketCap":39339477368},{"date":"2024-03-08","current":18.138685,"twenty":15.09014,"median":17.541833,"eighty":23.875433,"marketCap":38562843798},{"date":"2024-03-15","current":17.878758,"twenty":15.09014,"median":17.541833,"eighty":23.875433,"marketCap":38010239143},{"date":"2024-03-22","current":16.995943,"twenty":15.09014,"median":17.497989,"eighty":23.875433,"marketCap":36133374682},{"date":"2024-03-28","current":17.239478,"twenty":15.09014,"median":17.477124,"eighty":23.875433,"marketCap":36651130395},{"date":"2024-04-05","current":16.7688,"twenty":15.089455,"median":17.431826,"eighty":23.877388,"marketCap":35650467911},{"date":"2024-04-12","current":16.525264,"twenty":15.089455,"median":17.397143,"eighty":23.877388,"marketCap":35132712198},{"date":"2024-04-19","current":15.719725,"twenty":15.089455,"median":17.337756,"eighty":23.877388,"marketCap":33420135608},{"date":"2024-04-26","current":15.633083,"twenty":15.09014,"median":17.271155,"eighty":23.875433,"marketCap":33235934056},{"date":"2024-05-03","current":15.750176,"twenty":15.09014,"median":17.239478,"eighty":23.875433,"marketCap":32949368982},{"date":"2024-05-10","current":15.87614,"twenty":15.09014,"median":17.239478,"eighty":23.875433,"marketCap":33212884382},{"date":"2024-05-17","current":16.715103,"twenty":15.09014,"median":17.239478,"eighty":23.875433,"marketCap":34967996386},{"date":"2024-05-24","current":16.273043,"twenty":15.09014,"median":17.233165,"eighty":23.875433,"marketCap":34043206491},{"date":"2024-05-31","current":15.396053,"twenty":15.09014,"median":17.201942,"eighty":23.875433,"marketCap":32208542669},{"date":"2024-06-07","current":15.759683,"twenty":15.09014,"median":17.146906,"eighty":23.875433,"marketCap":32969256937},{"date":"2024-06-14","current":15.35565,"twenty":15.089455,"median":17.08259,"eighty":23.877388,"marketCap":32124018861},{"date":"2024-06-21","current":16.194613,"twenty":15.088771,"median":17.057462,"eighty":23.879343,"marketCap":33879130865},{"date":"2024-06-28","current":16.09717,"twenty":15.086717,"median":17.033189,"eighty":23.885209,"marketCap":33675279329},{"date":"2024-07-05","current":16.23264,"twenty":15.086717,"median":17.010994,"eighty":23.885209,"marketCap":33958682684},{"date":"2024-07-12","current":16.669947,"twenty":15.086717,"median":16.985717,"eighty":23.885209,"marketCap":34873528601},{"date":"2024-07-15","current":17.000304,"twenty":15.086717,"median":16.985717,"eighty":23.885209,"marketCap":35564635028},{"date":"2024-08-02","current":17.231736,"twenty":15.061222,"median":16.923702,"eighty":23.9092,"marketCap":37823660148},{"date":"2024-08-09","current":16.64914,"twenty":15.061222,"median":16.916062,"eighty":23.9092,"marketCap":36544862570},{"date":"2024-08-16","current":17.042054,"twenty":15.061222,"median":16.923702,"eighty":23.9092,"marketCap":37407307448},{"date":"2024-08-23","current":17.222703,"twenty":15.061222,"median":16.966509,"eighty":23.9092,"marketCap":37803833829},{"date":"2024-08-30","current":17.41916,"twenty":15.061222,"median":16.998581,"eighty":23.9092,"marketCap":38235056268},{"date":"2024-09-06","current":17.333351,"twenty":15.061222,"median":17.021846,"eighty":23.9092,"marketCap":38046706237},{"date":"2024-09-13","current":17.231736,"twenty":15.061222,"median":17.021846,"eighty":23.9092,"marketCap":37823660148},{"date":"2024-09-20","current":16.981084,"twenty":15.061222,"median":17.021846,"eighty":23.9092,"marketCap":37273479795},{"date":"2024-09-27","current":17.432709,"twenty":15.061222,"median":17.055178,"eighty":23.9092,"marketCap":38264795747},{"date":"2024-10-04","current":17.281415,"twenty":15.061222,"median":17.080442,"eighty":23.9092,"marketCap":37932704903},{"date":"2024-10-11","current":16.823016,"twenty":15.061222,"median":17.125604,"eighty":23.9092,"marketCap":36926519212},{"date":"2024-10-18","current":17.554647,"twenty":15.061222,"median":17.161734,"eighty":23.9092,"marketCap":38532451054},{"date":"2024-10-25","current":16.904308,"twenty":15.061222,"median":17.177541,"eighty":23.9092,"marketCap":37104956083},{"date":"2024-10-31","current":16.364196,"twenty":15.061222,"median":17.177541,"eighty":23.9092,"marketCap":36852170515},{"date":"2024-11-08","current":17.913083,"twenty":15.058084,"median":17.187255,"eighty":23.911077,"marketCap":40340261793},{"date":"2024-11-15","current":17.783182,"twenty":15.058084,"median":17.208208,"eighty":23.911077,"marketCap":40047725480},{"date":"2024-11-22","current":17.362656,"twenty":15.058084,"median":17.217058,"eighty":23.911077,"marketCap":39100701143},{"date":"2024-11-29","current":17.721754,"twenty":15.058084,"median":17.23245,"eighty":23.911077,"marketCap":39909390511},{"date":"2024-12-06","current":17.774375,"twenty":15.058084,"median":17.268653,"eighty":23.911077,"marketCap":40027892509},{"date":"2024-12-13","current":17.695114,"twenty":15.058084,"median":17.297775,"eighty":23.911077,"marketCap":39849395776},{"date":"2024-12-20","current":17.501363,"twenty":15.058084,"median":17.33448,"eighty":23.911077,"marketCap":39413070427},{"date":"2024-12-27","current":17.589432,"twenty":15.058084,"median":17.345672,"eighty":23.911077,"marketCap":39611400131},{"date":"2025-01-03","current":16.823238,"twenty":15.058084,"median":17.352446,"eighty":23.911077,"marketCap":37885931706},{"date":"2025-01-10","current":16.737371,"twenty":15.054945,"median":17.358191,"eighty":23.912953,"marketCap":37692560245},{"date":"2025-01-17","current":17.047812,"twenty":15.054945,"median":17.358191,"eighty":23.912953,"marketCap":38391672451},{"date":"2025-01-24","current":17.543196,"twenty":15.054945,"median":17.359007,"eighty":23.912953,"marketCap":39507277036},{"date":"2025-01-31","current":18.221321,"twenty":15.054945,"median":17.404488,"eighty":23.912953,"marketCap":41034415757},{"date":"2025-02-07","current":19.277382,"twenty":15.054945,"median":17.421418,"eighty":23.912953,"marketCap":43181334803},{"date":"2025-02-14","current":19.780204,"twenty":15.054945,"median":17.421418,"eighty":23.912953,"marketCap":44307657744},{"date":"2025-02-21","current":19.329751,"twenty":15.054945,"median":17.421418,"eighty":23.912953,"marketCap":43298642095},{"date":"2025-02-28","current":18.545874,"twenty":15.054945,"median":17.421418,"eighty":23.912953,"marketCap":41542757020},{"date":"2025-03-07","current":18.450925,"twenty":15.053231,"median":17.422266,"eighty":23.912953,"marketCap":41330072349},{"date":"2025-03-14","current":17.298294,"twenty":15.067499,"median":17.436241,"eighty":23.912953,"marketCap":38748179366},{"date":"2025-03-21","current":17.048778,"twenty":15.123902,"median":17.463479,"eighty":23.912953,"marketCap":38189263835},{"date":"2025-03-28","current":17.130478,"twenty":15.182502,"median":17.463479,"eighty":23.912953,"marketCap":38372271576},{"date":"2025-04-04","current":16.178785,"twenty":15.213723,"median":17.463479,"eighty":23.912953,"marketCap":36240478710},{"date":"2025-04-11","current":15.34633,"twenty":15.206513,"median":17.461104,"eighty":23.912953,"marketCap":34375778223},{"date":"2025-04-17","current":15.458943,"twenty":15.206513,"median":17.461104,"eighty":23.912953,"marketCap":34628032135},{"date":"2025-04-25","current":15.870885,"twenty":15.204796,"median":17.463479,"eighty":23.912953,"marketCap":35550782027},{"date":"2025-05-02","current":15.73357,"twenty":15.204796,"median":17.463479,"eighty":23.912953,"marketCap":37084023876},{"date":"2025-05-09","current":16.565945,"twenty":15.204796,"median":17.451963,"eighty":23.912953,"marketCap":39045932889},{"date":"2025-05-16","current":17.015595,"twenty":15.213723,"median":17.451963,"eighty":23.912953,"marketCap":40105758109},{"date":"2025-05-23","current":16.710252,"twenty":15.213723,"median":17.451963,"eighty":23.912953,"marketCap":39386062843},{"date":"2025-05-30","current":16.867106,"twenty":15.213723,"median":17.451963,"eighty":23.912953,"marketCap":39755769315},{"date":"2025-06-06","current":16.588951,"twenty":15.213723,"median":17.440817,"eighty":23.912953,"marketCap":39100156505},{"date":"2025-06-13","current":16.82737,"twenty":15.213723,"median":17.430451,"eighty":23.912953,"marketCap":39662110342},{"date":"2025-06-20","current":16.551305,"twenty":15.21192,"median":17.432709,"eighty":23.912953,"marketCap":39011426951},{"date":"2025-06-27","current":16.227139,"twenty":15.21192,"median":17.432709,"eighty":23.912953,"marketCap":38247366909},{"date":"2025-07-03","current":16.936122,"twenty":15.21192,"median":17.432709,"eighty":23.912953,"marketCap":39918440163},{"date":"2025-07-11","current":16.047279,"twenty":15.21192,"median":17.432709,"eighty":23.912953,"marketCap":37823436820},{"date":"2025-07-18","current":15.802586,"twenty":15.21192,"median":17.421418,"eighty":23.912953,"marketCap":37246694724},{"date":"2025-07-25","current":16.047279,"twenty":15.21192,"median":17.362707,"eighty":23.912953,"marketCap":37823436820},{"date":"2025-08-01","current":14.38723,"twenty":15.196543,"median":17.344642,"eighty":23.912953,"marketCap":35047292439},{"date":"2025-08-08","current":13.857934,"twenty":15.145254,"median":17.333351,"eighty":23.912953,"marketCap":33757927165},{"date":"2025-08-15","current":13.908057,"twenty":15.08268,"median":17.285931,"eighty":23.912953,"marketCap":33880026149},{"date":"2025-08-22","current":14.250896,"twenty":15.020573,"median":17.233165,"eighty":23.912953,"marketCap":34715183201},{"date":"2025-08-29","current":14.37921,"twenty":14.915922,"median":17.222703,"eighty":23.912953,"marketCap":35027756601},{"date":"2025-09-05","current":14.325078,"twenty":14.850092,"median":17.19109,"eighty":23.912953,"marketCap":34895889698},{"date":"2025-09-12","current":14.144636,"twenty":14.797052,"median":17.182057,"eighty":23.912953,"marketCap":34456333355},{"date":"2025-09-19","current":14.086494,"twenty":14.740494,"median":17.159476,"eighty":23.912953,"marketCap":34314698533},{"date":"2025-09-26","current":13.366731,"twenty":14.683808,"median":17.125604,"eighty":23.912953,"marketCap":32561357119},{"date":"2025-10-03","current":13.432893,"twenty":14.585199,"median":17.08259,"eighty":23.912953,"marketCap":32722527779},{"date":"2025-10-10","current":13.755684,"twenty":14.518698,"median":17.059515,"eighty":23.886301,"marketCap":33508845237},{"date":"2025-10-17","current":13.126142,"twenty":14.478274,"median":17.047812,"eighty":23.86169,"marketCap":31975281995},{"date":"2025-10-24","current":13.639399,"twenty":14.421423,"median":17.015595,"eighty":23.831434,"marketCap":33225575594},{"date":"2025-10-31","current":16.373237,"twenty":14.400159,"median":16.995943,"eighty":23.745847,"marketCap":34842248885},{"date":"2025-11-07","current":16.518394,"twenty":14.400159,"median":16.953793,"eighty":23.685964,"marketCap":35151142628},{"date":"2025-11-14","current":16.683964,"twenty":14.400159,"median":16.938214,"eighty":23.613779,"marketCap":35503474553},{"date":"2025-11-21","current":16.409526,"twenty":14.400159,"median":16.931121,"eighty":23.5697,"marketCap":34919472321},{"date":"2025-11-28","current":17.625215,"twenty":14.400159,"median":16.931121,"eighty":23.526554,"marketCap":37506457416},{"date":"2025-12-05","current":18.189966,"twenty":14.400159,"median":16.931121,"eighty":23.437695,"marketCap":38708247134},{"date":"2025-12-12","current":19.011009,"twenty":14.400159,"median":16.931121,"eighty":23.258849,"marketCap":40455427366},{"date":"2025-12-19","current":18.997401,"twenty":14.400159,"median":16.931121,"eighty":23.146865,"marketCap":40426468578}],"updateTime":1766283238978},"$inf$@#url:\"https://stock-news.skytigris.cn/v2/news/list\",params:#symbols:\"CTSH\",pageSize:20,pageCount:1,lang_content:\"cn\",edition:\"fundamental\",,,undefined,":[{"items":[{"id":"2592728139","title":"Cognizant与Microsoft扩大合作，推动AI转型与打造前沿企业体验","url":"https://stock-news.laohu8.com/highlight/detail?id=2592728139","media":"美通社","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2592728139?lang=zh_cn&edition=fundamental","pubTime":"2025-12-19 03:41","pubTimestamp":1766086860,"startTime":"0","endTime":"0","summary":"双方将通过协同创新，推出AI驱动的解决方案，融合Microsoft可信的云服务与Cognizant的行业平台，助力企业重塑工作方式并实现创新规模化。Cognizant新徽标  根据协议，Cognizant与Microsoft将共同构建行业级AI解决方案，在全球范围内联合销售，并在金融服务、医疗保健与生命科学、零售及制造业等重点行业展开大规模合作。此次合作还进一步拓展了Cognizant正在推向市场的Cognizant Neuro AI产品套件，该套件充分利用Microsoft的云与AI服务。有关Cognizant与Microsoft合作的更多信息，请访问此页面。","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://wwwold.prnasia.com/story/archive/4850135_ZH50135_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":["LU1069344957.HKD","SG9999018857.SGD","LU2381873111.SGD","LU0345768740.USD","BK4587","LU0345768153.USD","LU1236620750.USD","LU0072462426.USD","LU1697837992.HKD","LU0323591593.USD","LU0061474960.USD","LU2092937148.SGD","LU2362541273.HKD","IE0004445239.USD","BK4527","LU0823434583.USD","LU1914381329.SGD","LU2265009873.SGD","LU0894486033.HKD","LU2125909593.SGD","BK4532","LU0960925559.SGD","LU0879622024.SGD","LU1145028129.USD","LU2756315664.SGD","IE00BJLML261.HKD","LU1917777945.USD","LU1048588211.SGD","LU2168563687.JPY","LU0203202063.USD","BK4535","LU0308772762.SGD","LU0795875086.SGD","LU0792757196.USD","IE00BWXC8680.SGD","LU1720051108.HKD","LU2750360641.GBP","LU0096362180.USD","LU0314104364.USD","LU1732800096.USD","LU0348723411.USD","IE00BMPRXQ63.HKD","LU0823421416.USD","LU1791710400.SGD","LU0689472784.USD","BK4504","LU2023250843.SGD","LU1983260115.SGD","LU0949170426.SGD","SGXZ51526630.SGD","IE00BQXX3F31.USD","IE00BYQQ9H92.USD","LU1935043536.SGD","LU2461242641.AUD","IE00BZ1G4Q59.USD","LU0345774391.USD","LU0820562030.AUD","LU2191332357.HKD","LU2413666699.HKD","LU0528227936.USD","LU0784384876.USD","LU2430703251.USD","LU2041044095.USD","LU0070217475.USD","LU0683600562.USD","IE0034235295.USD","LU0494093205.USD","LU1814569148.SGD","LU1119994496.HKD","LU0029864427.USD","LU0048584097.USD","LU1548497426.USD","LU0128525929.USD","LU1244550577.SGD","LU1674673428.USD","LU0211327993.USD","LU2023250504.SGD","SG9999015358.SGD","LU0690374961.EUR","LU0345770308.USD","LU0056508442.USD","LU2108987350.USD","LU0266013472.USD","LU0238689110.USD","LU1235294995.USD","LU2275660780.HKD","LU2087621335.USD","BK4548","LU2420271590.USD","LU0072461881.USD","LU0323239441.USD","LU0545039389.USD","LU0323240290.USD","LU0882574139.USD","LU1582987324.SGD","LU0353189763.USD","LU1196500208.SGD","LU1582986433.USD","IE0034235188.USD","LU2168564495.EUR","LU2361045086.USD","IE00BMPRXR70.SGD","LU2148611432.USD","LU2092937221.SGD","SG9999014880.SGD","IE00BHPRN162.USD","LU0345769631.USD","LU1720051017.SGD","LU2210150020.SGD","LU1059921491.USD","LU1280957306.USD","LU0069063385.USD","LU1868837136.USD","LU1261432733.SGD","LU1868836757.USD","LU0310800379.SGD","IE00BLSP4452.SGD","LU0964807845.USD","SG9999015945.SGD","LU1989763005.USD","LU2471134523.USD","LU0061475181.USD","LU2360106780.USD","LU2264538146.SGD","IE0004086264.USD","LU1923622614.USD","LU0444973449.USD","IE00B19Z8W00.USD","LU2552382215.SGD","GB00BDT5M118.USD","LU0094547139.USD","LU1066051498.USD","LU0097036916.USD","BK4543","LU2237443382.USD","LU0390134368.USD","LU0456855351.SGD","BK4576","LU0265550359.USD","LU0154236417.USD","LU0225283273.USD","IE00BN8TJ469.HKD","IE00BK4W5M84.HKD","LU2279689827.SGD","LU1551013342.USD","IE000ITXATA3.USD","LU2458330243.SGD","LU2237957811.SGD","LU0082616367.USD","LU1116320737.USD","LU1228905037.USD","LU2896262040.SGD","LU2065170008.USD","LU0302445910.USD","LU2404859667.USD","IE00BKDWB100.SGD","LU0072462343.USD","IE0001KFT4U8.USD","LU1048596156.SGD","LU1691799644.USD","LU2095319765.USD","LU0889565833.HKD","LU1989764664.SGD","LU2505996681.GBP","LU1043141123.HKD","LU1244550221.USD","LU1582987597.SGD","LU1564329115.USD","LU1188199696.SGD","LU0536402901.SGD","LU0417517546.SGD","LU0994945656.USD","LU2237438978.USD","LU0316494557.USD","LU2456880835.USD","LU0251132253.USD","LU0109391861.USD","LU0965509101.SGD","LU0198837287.USD","LU0957791311.USD","LU2403377893.USD","LU2097344431.USD","BK4097","LU1267930573.SGD","LU1721428933.USD","LU1778281490.HKD","LU0267386448.USD","IE00B775H168.HKD","LU1121112475.USD","IE00BDCRKT87.USD","LU2506952097.USD","LU0889566641.SGD","LU1064131342.USD","LU1301847155.USD","LU2065169927.USD","LU0823417653.USD","LU1974910355.USD","IE00BFXG0V08.USD","IE00BFSS8Q28.SGD","LU2417539215.USD","SG9999002232.USD","IE00BJTD4N35.SGD","LU2242649171.HKD","BK4566","SG9999002224.SGD","LU0053666078.USD","LU0965508806.USD","LU1316542783.SGD","LU2506952170.USD","LU1718418525.SGD","LU0724617625.USD","LU0289960550.SGD","LU0757359954.USD","LU1823568750.SGD","LU2168564065.EUR","LU0158827948.USD","LU0557290698.USD","SG9999015978.USD","LU1989772923.USD","LU2210149790.SGD","LU0095938881.EUR","LU0342679015.USD","BK4525","BK4567","LU0345770993.USD","LU1228905540.USD","LU1935042488.USD","LU2360032135.SGD","IE00B5TLWC47.USD","LU0210528500.USD","LU1032955483.USD","SG9999001077.SGD","SGXZ23171101.USD","LU1670710661.SGD","LU0689626769.HKD","LU0708995666.HKD","LU2092627202.USD","LU2506951875.HKD","LU0158827781.USD","LU0719512351.SGD","LU2271345857.HKD","LU0784385170.HKD","LU2125154935.USD","IE0009G5SDU7.USD","LU2063271972.USD","LU1003077747.HKD","LU2298321311.HKD","IE00B4YYXB79.USD","LU1934455863.HKD","LU2362541513.USD","MSFT","LU0511384066.AUD","LU1429558221.USD","IE000W1ABFV2.USD","LU1116320901.HKD","LU0234570918.USD","SG9999014559.SGD","LU2028103732.USD","LU2347655156.SGD","LU0426417589.USD","SG9999004303.SGD","LU0347712357.USD","LU0965509283.SGD","BK4588","LU0187121727.USD","LU2168564149.EUR","LU0738911758.USD","BK4528","LU0265550946.USD","IE00B4JS1V06.HKD","BK4579","BK4134","IE00B1BXHZ80.USD","LU0821914370.USD","LU0784383803.USD","LU1642822529.SGD","LU2357305700.SGD","IE00BN29S564.USD","LU1221951046.USD","LU0354030438.USD","LU2602419157.SGD","LU1803068979.SGD","SG9999000418.SGD","BK4592","LU2244417387.USD","LU0210536198.USD","LU0726765562.USD","LU1506573853.SGD","LU0912757837.SGD","LU2326559502.SGD","LU2452424414.USD","LU1066053197.SGD","LU2237443895.HKD","LU0011850046.USD","LU2054465674.USD","BK4577","LU0861579265.USD","LU0210533765.USD","BK4516","IE0005OL40V9.USD","LU2458330169.SGD","LU0820561818.USD","LU0096364046.USD","IE000KEQY171.SGD","LU1670628061.USD","LU0949170772.SGD","LU1564329032.USD","LU1084165304.USD","LU0950375773.USD","LU1989773731.SGD","LU2505996509.AUD","LU1935043023.USD","LU1340139317.AUD","LU1066051811.HKD","LU2250418816.HKD","LU0170899867.USD","LU1323610961.USD","LU2471134952.CNY","LU2720916845.USD","LU1235295455.SGD","LU1712237335.SGD","BK4550","LU1868836914.USD","IE00BFSS7M15.SGD","LU0426412945.USD","LU1236620834.HKD","IE00B5949003.HKD","IE00BDRTCR15.USD","LU2111349929.HKD","LU2491050154.USD","SG9999018865.SGD","LU1571399168.USD","LU2168564222.USD","BK4503","SGXZ99366536.SGD","LU2361044865.SGD","LU1046421795.USD","IE0004091025.USD","LU1551013425.SGD","LU1221951129.SGD","LU1839511570.USD","LU2506951958.HKD","LU1935042215.USD","LU0957808578.USD","LU2361044949.HKD","LU1037948897.HKD","LU0708994859.HKD","LU0823434740.USD","LU2430703095.HKD","LU2133065610.SGD","LU2764262908.HKD","LU2237443549.SGD","LU2211815571.USD","IE00BQXX3C00.GBP","BK4612","LU1815336760.USD","LU0157215616.USD","LU2065171402.SGD","LU1988902786.USD","SG9999017495.SGD","LU2097829019.USD","LU0215105999.USD","LU2463028550.USD","LU0642271901.SGD","LU0345774631.USD","LU0708995401.HKD","LU1066051225.USD","LU0256863811.USD","LU2242650005.HKD","LU2236285917.USD","LU0965509010.AUD","IE00BK4W5L77.USD","LU1868836591.USD","LU2552382058.USD","SG9999014567.USD","IE00BJJMRX11.SGD","LU1670711123.USD","LU0289961442.SGD","LU1069347547.HKD","LU1267930490.SGD","LU0640476718.USD","LU0312595415.SGD","LU0234572021.USD","LU0943347566.SGD","LU2756315318.SGD","LU2462157665.USD","LU0006306889.USD","LU2065171311.SGD","LU1430594728.SGD","LU0690374615.EUR","LU2404859741.USD","IE000YTNTUN2.SGD","IE00BJJMRY28.SGD","LU0077335932.USD","LU1366192091.USD","LU0661504455.SGD","LU1334329650.SGD","IE00B3S45H60.SGD","LU0472753341.HKD","IE0009356076.USD","SG9999014575.USD","LU0211328371.USD","LU2023250330.USD","LU0545562505.USD","LU1934455277.USD","LU1852331112.SGD","LU1564329461.SGD","GB00B4LPDJ14.GBP","LU1791710582.SGD","LU2106854487.HKD","LU0672654240.SGD","LU2764263039.SGD","LU0354030511.USD","LU0149725797.USD","LU1732799900.SGD","LU0784385840.USD","LU2237443622.USD","LU2750360997.AUD","LU0256863902.USD","LU0203201768.USD","LU1035775433.USD","LU1127390331.HKD","CTSH","LU1989772840.SGD","SG9999014906.USD","LU1043141396.HKD","LU1564329628.SGD","IE00B775SV38.USD","LU1267930813.SGD","BK4585","LU1496350502.SGD","LU1815333072.USD","SG9999014914.USD","LU2746668461.USD","LU0823421333.USD","LU2237957902.USD","BK4533","LU1674673691.USD","IE00B1XK9C88.USD","IE00BKPKM429.USD","LU1244550494.USD","LU0444971666.USD","LU0171293334.USD","LU0345769128.USD","LU1989764748.USD","LU2213496289.HKD","IE00BMPRXN33.USD","LU2746668974.SGD","LU1804176565.USD","LU1670627923.USD","LU0107464264.USD","LU0894485498.HKD","SG9999014542.SGD","LU0320765059.SGD","LU0081259029.USD","LU1582986359.USD","LU0124676726.USD","LU2237443465.HKD","IE00BLSP4239.USD","LU2552382132.HKD","IE00BJTD4V19.USD","LU2471134796.USD","LU1803068623.USD","LU0820561909.HKD","LU0289739343.SGD","LU2362540622.SGD","LU1267930656.SGD","LU2089283258.USD","SGXZ81514606.USD","LU0109392836.USD","LU2430703178.SGD","LU0231203729.USD","LU1861127337.USD","LU1585245621.USD","LU2077746001.SGD","SG9999015986.USD","IE00BSNM7G36.USD","GB00B4QBRK32.GBP","LU1074936037.SGD","LU1032466523.USD","BK4554","LU1181866309.USD","LU0276348264.USD","IE00BYXW3230.USD","LU2491049909.HKD","LU2247934214.USD","LU0868494617.USD","LU2083900584.USD","LU2491050071.SGD","LU2543165471.USD","LU2125909247.SGD","LU1037948541.HKD","LU2125154778.USD","IE00BBT3K403.USD","SG9999014898.SGD","LU0757359368.USD","IE00B19Z8X17.USD","IE00B3SWFQ91.USD","LU0985320562.USD","LU2286300806.USD","LU0079474960.USD","LU2347655073.USD","LU0788109477.HKD","LU0476273544.USD","IE0003U64NQ7.SGD","SG9999001424.SGD","SG9999015341.SGD","LU0310799852.SGD","IE0004445015.USD","LU1935042991.SGD","LU1633808545.USD","LU1153585028.USD","LU0162691827.USD","LU0175139822.USD","LU1868837300.USD","LU1035773651.USD","IE00BKVL7J92.USD","LU1232071149.USD","LU2860962120.EUR","IE00B19Z9505.USD","LU0006061336.USD","BK4534","LU1670711040.USD","LU2360108059.USD","LU2433249047.HKD","LU2764263203.CNY","BK4538","LU1435385759.SGD","LU2087625088.SGD","LU0314106906.USD","LU0289941410.SGD","LU1623119135.USD","LU2487616109.SGD","LU0127658192.USD","LU0057025933.USD","LU1496350171.SGD","IE00B7KXQ091.USD","LU0106261372.USD","LU2237443978.SGD","SG9999015952.SGD","LU0061474705.USD","BK4598","LU0466842654.USD","LU2089284900.SGD","LU1934455194.USD","LU2471134879.HKD","LU0787776722.HKD","LU1670710588.SGD","BK4581","LU0823417737.USD","LU1366333091.USD","LU1629891620.HKD","LU1267930730.SGD","LU0553294199.USD","LU2413666426.HKD","LU2097344357.USD","LU0795875169.SGD","LU2592432038.USD","SGXZ31699556.SGD","IE00BQXX3D17.EUR","LU0080751232.USD","LU0353189680.USD","IE0034235303.USD","LU2023251221.USD"],"gpt_icon":1},{"id":"1180517206","title":"高知特与微软达成协议，共同打造行业级人工智能解决方案，并在全球联合销售","url":"https://stock-news.laohu8.com/highlight/detail?id=1180517206","media":"美股速递","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1180517206?lang=zh_cn&edition=fundamental","pubTime":"2025-12-18 22:06","pubTimestamp":1766066780,"startTime":"0","endTime":"0","summary":"高知特与微软达成协议，共同打造行业级人工智能解决方案，并在全球联合销售。","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":["LU1868836757.USD","IE00B1BXHZ80.USD","LU1069344957.HKD","LU2362541513.USD","LU2125909593.SGD","GB00BDT5M118.USD","LU2244417387.USD","IE000KEQY171.SGD","LU2265009873.SGD","BK4567","LU0889565833.HKD","LU0162691827.USD","BK4550","LU0879622024.SGD","LU1064131342.USD","LU2237443622.USD","LU1035775433.USD","LU0882574139.USD","LU0823417653.USD","IE00BHPRN162.USD","IE000W1ABFV2.USD","LU2168564222.USD","LU0994945656.USD","LU1791710400.SGD","LU2430703178.SGD","LU2471134952.CNY","LU0289960550.SGD","BK4587","LU0256863902.USD","LU1221951046.USD","LU2023250330.USD","LU0276348264.USD","LU0964807845.USD","LU0225283273.USD","LU2065171311.SGD","LU2592432038.USD","LU0072461881.USD","LU0210533765.USD","IE00BN29S564.USD","LU0348723411.USD","LU2505996509.AUD","LU1935043023.USD","SG9999014914.USD","LU0265550359.USD","IE000YTNTUN2.SGD","LU2458330169.SGD","LU2896262040.SGD","BK4535","LU0345774391.USD","LU0061475181.USD","LU0323239441.USD","GB00B4QBRK32.GBP","LU0048584097.USD","LU1043141396.HKD","LU2242650005.HKD","IE00BK4W5M84.HKD","LU0823434583.USD","LU1983260115.SGD","LU2361044949.HKD","LU2602419157.SGD","LU0545039389.USD","LU0820562030.AUD","SG9999018865.SGD","IE00B19Z8X17.USD","IE0001KFT4U8.USD","IE00BJJMRY28.SGD","LU1791710582.SGD","LU2463028550.USD","LU0950375773.USD","LU2097344357.USD","LU2237438978.USD","IE00BJTD4V19.USD","SG9999015952.SGD","IE0009G5SDU7.USD","LU0354030511.USD","LU2860962120.EUR","SG9999002224.SGD","LU2279689827.SGD","IE00BDRTCR15.USD","LU0353189763.USD","LU1934455194.USD","LU0070217475.USD","MSFT","LU0314106906.USD","LU2275660780.HKD","LU1236620750.USD","LU1430594728.SGD","LU0234570918.USD","LU1564329461.SGD","LU0289961442.SGD","IE00B4YYXB79.USD","LU0267386448.USD","LU0476273544.USD","BK4134","LU1989764748.USD","LU0795875086.SGD","LU0256863811.USD","IE00BN8TJ469.HKD","LU1127390331.HKD","LU1778281490.HKD","LU1934455863.HKD","LU2458330243.SGD","LU0640476718.USD","LU0210536198.USD","LU0215105999.USD","LU2133065610.SGD","LU2420271590.USD","LU2211815571.USD","LU0061474705.USD","IE00BFSS7M15.SGD","LU0354030438.USD","LU1035773651.USD","LU1670711123.USD","IE00BWXC8680.SGD","LU1674673691.USD","LU2764262908.HKD","LU0238689110.USD","LU2362540622.SGD","LU1267930490.SGD","LU0557290698.USD","LU1116320737.USD","LU0690374615.EUR","LU0784384876.USD","LU0081259029.USD","CTSH","LU1914381329.SGD","LU0061474960.USD","LU0444971666.USD","LU1670711040.USD","LU0795875169.SGD","LU1084165304.USD","IE00BYXW3230.USD","BK4612","LU0251132253.USD","LU0096364046.USD","LU0109392836.USD","LU1712237335.SGD","LU1066051498.USD","LU0708995666.HKD","LU1280957306.USD","LU1582986433.USD","IE00BJLML261.HKD","IE0009356076.USD","SG9999014906.USD","SG9999015978.USD","LU2491050071.SGD","SGXZ81514606.USD","IE00B1XK9C88.USD","LU0784385170.HKD","LU2237957811.SGD","LU0353189680.USD","LU1267930573.SGD","LU2552382132.HKD","LU0444973449.USD","IE00BMPRXN33.USD","BK4527","LU0211327993.USD","LU2357305700.SGD","LU0957808578.USD","LU0724617625.USD","LU1244550494.USD","LU2746668461.USD","LU2041044095.USD","LU1267930730.SGD","LU0345770308.USD","LU0894486033.HKD","LU0128525929.USD","BK4528","LU0079474960.USD","LU2413666699.HKD","LU2210150020.SGD","LU1267930656.SGD","LU2491049909.HKD","LU2089284900.SGD","LU1066051225.USD","LU1074936037.SGD","LU2237443465.HKD","LU0965509101.SGD","LU1551013342.USD","LU0861579265.USD","LU0265550946.USD","LU1670710588.SGD","LU2361044865.SGD","LU0985320562.USD","LU0096362180.USD","LU2461242641.AUD","LU1267930813.SGD","SG9999015986.USD","LU2023251221.USD","LU0310800379.SGD","LU1814569148.SGD","LU0211328371.USD","LU0965509010.AUD","IE00B3SWFQ91.USD","LU2063271972.USD","LU1935042488.USD","LU2347655073.USD","LU1721428933.USD","LU0965508806.USD","LU1506573853.SGD","LU0456855351.SGD","LU0511384066.AUD","LU0689472784.USD","IE00B3S45H60.SGD","LU0553294199.USD","LU2326559502.SGD","LU0198837287.USD","LU0345769631.USD","IE0004445239.USD","LU2095319765.USD","LU2756315318.SGD","LU2250418816.HKD","LU0011850046.USD","BK4533","LU1935043536.SGD","LU2097829019.USD","IE00BMPRXR70.SGD","LU0820561818.USD","IE00BZ1G4Q59.USD","LU1235295455.SGD","LU0912757837.SGD","LU2764263203.CNY","LU2506951875.HKD","LU1181866309.USD","IE00B775H168.HKD","LU1119994496.HKD","LU1989764664.SGD","LU2298321311.HKD","LU1861127337.USD","LU0788109477.HKD","LU2361045086.USD","LU1059921491.USD","LU1244550577.SGD","LU2381873111.SGD","LU0323240290.USD","LU0726765562.USD","IE00B7KXQ091.USD","LU0787776722.HKD","LU1340139317.AUD","LU2764263039.SGD","LU0057025933.USD","LU0308772762.SGD","LU0894485498.HKD","LU1564329115.USD","SGXZ99366536.SGD","SG9999000418.SGD","LU1917777945.USD","LU1235294995.USD","LU1642822529.SGD","LU0683600562.USD","LU2430703251.USD","IE00BQXX3F31.USD","LU0426412945.USD","LU2237957902.USD","LU0719512351.SGD","LU0106261372.USD","BK4585","LU0310799852.SGD","LU1670710661.SGD","SG9999015358.SGD","LU0943347566.SGD","LU1803068623.USD","LU0820561909.HKD","LU1066051811.HKD","LU2360106780.USD","LU2552382058.USD","LU1989773731.SGD","LU1121112475.USD","LU2271345857.HKD","LU2092937148.SGD","LU2404859741.USD","LU2417539215.USD","LU0289941410.SGD","LU0957791311.USD","LU2433249047.HKD","LU2506951958.HKD","IE00B19Z8W00.USD","LU1244550221.USD","LU0124676726.USD","IE00BK4W5L77.USD","LU1823568750.SGD","LU0323591593.USD","LU2720916845.USD","LU0472753341.HKD","LU0823434740.USD","LU1585245621.USD","LU2552382215.SGD","LU1232071149.USD","LU2506952097.USD","LU2191332357.HKD","LU1697837992.HKD","LU0536402901.SGD","LU1366192091.USD","IE00BYQQ9H92.USD","LU2237443549.SGD","LU1720051017.SGD","IE00BJJMRX11.SGD","LU1935042215.USD","BK4588","LU1804176565.USD","BK4503","LU1582987324.SGD","LU1839511570.USD","IE00BQXX3D17.EUR","BK4543","LU0154236417.USD","LU0345769128.USD","LU0029864427.USD","LU1435385759.SGD","LU2462157665.USD","IE0034235295.USD","IE00BKPKM429.USD","LU1069347547.HKD","LU0080751232.USD","IE00B775SV38.USD","LU1496350502.SGD","LU0757359954.USD","LU0345774631.USD","IE00BFSS8Q28.SGD","LU2543165471.USD","LU0661504455.SGD","LU0960925559.SGD","IE00B5949003.HKD","LU1935042991.SGD","LU0823421416.USD","IE00BJTD4N35.SGD","LU2097344431.USD","BK4525","LU1048588211.SGD","LU2065170008.USD","LU1989763005.USD","LU0342679015.USD","IE00BLSP4452.SGD","LU0127658192.USD","LU0690374961.EUR","LU1868837300.USD","LU1316542783.SGD","LU0390134368.USD","LU1633808545.USD","LU1228905037.USD","LU0006306889.USD","LU0792757196.USD","LU2237443895.HKD","IE00B5TLWC47.USD","SG9999014898.SGD","SG9999015341.SGD","IE0034235188.USD","LU0417517546.SGD","LU0965509283.SGD","LU1261432733.SGD","LU0466842654.USD","LU1564329628.SGD","SG9999014559.SGD","LU2168563687.JPY","LU0203202063.USD","IE0005OL40V9.USD","LU0302445910.USD","LU1551013425.SGD","LU2237443978.SGD","LU1582986359.USD","LU1868837136.USD","LU1670628061.USD","SG9999018857.SGD","LU2487616109.SGD","LU0689626769.HKD","IE00BQXX3C00.GBP","LU2471134523.USD","IE00BKDWB100.SGD","LU0545562505.USD","LU0171293334.USD","BK4576","LU2413666426.HKD","LU2065171402.SGD","LU0494093205.USD","LU0158827948.USD","LU0316494557.USD","LU0708995401.HKD","IE00B4JS1V06.HKD","LU0109391861.USD","LU1221951129.SGD","LU1003077747.HKD","LU0158827781.USD","LU1196500208.SGD","LU2213496289.HKD","LU2023250843.SGD","LU2746668974.SGD","LU2108987350.USD","BK4534","LU2125154778.USD","SG9999014542.SGD","LU0095938881.EUR","SG9999004303.SGD","LU0889566641.SGD","LU1153585028.USD","LU2264538146.SGD","LU2210149790.SGD","LU2106854487.HKD","LU2125154935.USD","LU2242649171.HKD","BK4577","IE0034235303.USD","LU1548497426.USD","LU0528227936.USD","LU0784383803.USD","LU1048596156.SGD","LU1145028129.USD","LU1564329032.USD","LU2750360641.GBP","SG9999014567.USD","LU1116320901.HKD","BK4504","LU1718418525.SGD","LU1732799900.SGD","IE00BKVL7J92.USD","LU0072462426.USD","LU0149725797.USD","LU2403377893.USD","LU1301847155.USD","LU2054465674.USD","LU2236285917.USD","LU2111349929.HKD","LU2092627202.USD","LU1032466523.USD","LU1046421795.USD","GB00B4LPDJ14.GBP","LU0107464264.USD","LU1066053197.SGD","LU0312595415.SGD","IE0003U64NQ7.SGD","BK4592","LU0823421333.USD","LU2065169927.USD","IE00BSNM7G36.USD","LU0738911758.USD","LU1366333091.USD","LU2471134796.USD","LU2087621335.USD","BK4581","LU1429558221.USD","LU0056508442.USD","LU0187121727.USD","LU2089283258.USD","LU1582987597.SGD","IE000ITXATA3.USD","LU0314104364.USD","LU1732800096.USD","IE00BDCRKT87.USD","LU2028103732.USD","LU1868836914.USD","LU1228905540.USD","LU1623119135.USD","LU2125909247.SGD","LU1815336760.USD","SG9999017495.SGD","LU1868836591.USD","LU1989772923.USD","IE00BBT3K403.USD","LU0345768153.USD","BK4516","LU1670627923.USD","LU1691799644.USD","LU0231203729.USD","LU2430703095.HKD","BK4579","LU0868494617.USD","LU1032955483.USD","LU1989772840.SGD","LU2347655156.SGD","LU2506952170.USD","LU2360032135.SGD","LU2471134879.HKD","LU1037948541.HKD","LU1323610961.USD","SGXZ51526630.SGD","LU1803068979.SGD","IE00B19Z9505.USD","LU0006061336.USD","LU2087625088.SGD","LU2237443382.USD","BK4554","LU1496350171.SGD","LU2362541273.HKD","BK4532","IE00BLSP4239.USD","LU0175139822.USD","LU0823417737.USD","BK4538","LU1334329650.SGD","LU1236620834.HKD","LU2404859667.USD","LU2247934214.USD","LU0053666078.USD","LU1934455277.USD","LU2148611432.USD","IE00BMPRXQ63.HKD","LU0949170772.SGD","LU0347712357.USD","BK4566","SG9999002232.USD","LU1674673428.USD","BK4548","SG9999015945.SGD","LU0097036916.USD","LU2286300806.USD","LU2360108059.USD","LU0289739343.SGD","LU1974910355.USD","LU1852331112.SGD","LU0672654240.SGD","LU1815333072.USD","LU0234572021.USD","SG9999001077.SGD","LU2077746001.SGD","LU0345770993.USD","LU0426417589.USD","LU2756315664.SGD","SG9999014575.USD","LU0266013472.USD","LU0170899867.USD","IE0004445015.USD","LU0157215616.USD","LU0642271901.SGD","LU2505996681.GBP","SGXZ23171101.USD","LU2491050154.USD","LU2452424414.USD","LU0077335932.USD","LU2023250504.SGD","LU0320765059.SGD","LU1571399168.USD","LU2083900584.USD","IE0004086264.USD","LU0072462343.USD","LU0949170426.SGD","LU0708994859.HKD","SGXZ31699556.SGD","LU2168564149.EUR","SG9999014880.SGD","LU1188199696.SGD","BK4097","LU2168564065.EUR","LU2750360997.AUD","LU0784385840.USD","LU1720051108.HKD","LU1629891620.HKD","SG9999001424.SGD","LU0345768740.USD","LU2456880835.USD","LU0082616367.USD","LU0069063385.USD","IE0004091025.USD","LU0094547139.USD","IE00BFXG0V08.USD","LU2092937221.SGD","LU1037948897.HKD","LU0757359368.USD","LU1988902786.USD","LU0210528500.USD","LU1923622614.USD","LU0821914370.USD","LU1043141123.HKD","LU0203201768.USD","LU2168564495.EUR","BK4598"],"gpt_icon":0},{"id":"1154307181","title":"高知特与微软扩展合作关系 推动人工智能转型与前沿公司体验","url":"https://stock-news.laohu8.com/highlight/detail?id=1154307181","media":"美股速递","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1154307181?lang=zh_cn&edition=fundamental","pubTime":"2025-12-18 22:05","pubTimestamp":1766066743,"startTime":"0","endTime":"0","summary":"高知特与微软扩展合作关系，旨在推动人工智能转型和前沿公司体验。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU1629891620.HKD","IE00B7KXQ091.USD","LU2506951958.HKD","LU1935043536.SGD","LU1046421795.USD","LU2065171311.SGD","LU0345770308.USD","LU0157215616.USD","LU2362541273.HKD","BK4503","LU2095319765.USD","LU2133065610.SGD","LU1670627923.USD","LU2125909593.SGD","LU0082616367.USD","IE00BQXX3C00.GBP","LU2023250843.SGD","LU1674673691.USD","LU2286300806.USD","LU1121112475.USD","IE00B4JS1V06.HKD","IE00B3SWFQ91.USD","LU1496350502.SGD","LU1116320901.HKD","BK4581","LU0312595415.SGD","LU2106854487.HKD","LU0726765562.USD","LU2087625088.SGD","LU0757359954.USD","IE00BFSS8Q28.SGD","LU0964807845.USD","LU0965509010.AUD","LU0162691827.USD","LU0894485498.HKD","LU0545039389.USD","LU1571399168.USD","LU0708994859.HKD","IE0004091025.USD","SG9999002224.SGD","IE00BJTD4V19.USD","LU1720051017.SGD","LU2087621335.USD","LU0724617625.USD","LU0511384066.AUD","LU2361045086.USD","LU0158827781.USD","LU1720051108.HKD","LU0672654240.SGD","LU2275660780.HKD","LU0536402901.SGD","LU1153585028.USD","LU0689472784.USD","LU1852331112.SGD","LU2168564065.EUR","LU2720916845.USD","SG9999001424.SGD","SG9999015986.USD","LU2097829019.USD","LU0949170426.SGD","SG9999015978.USD","SG9999015952.SGD","IE00BKVL7J92.USD","LU2054465674.USD","LU2089284900.SGD","LU2168564222.USD","LU1934455194.USD","SG9999014914.USD","LU0784385840.USD","LU2430703178.SGD","LU0072461881.USD","LU2097344357.USD","LU0267386448.USD","LU1935042991.SGD","LU0444971666.USD","LU1066051811.HKD","LU1582986433.USD","LU0861579265.USD","LU0323240290.USD","IE00BKPKM429.USD","LU0061474960.USD","LU0097036916.USD","IE000KEQY171.SGD","LU1791710582.SGD","LU0889565833.HKD","LU0472753341.HKD","GB00B4LPDJ14.GBP","LU1674673428.USD","IE00BLSP4239.USD","IE00BZ1G4Q59.USD","LU0106261372.USD","LU0949170772.SGD","LU1301847155.USD","LU2089283258.USD","LU0310799852.SGD","IE00B5949003.HKD","LU2028103732.USD","LU2092627202.USD","IE00B19Z9505.USD","LU2360032135.SGD","LU1564329461.SGD","LU1366192091.USD","LU1839511570.USD","LU0154236417.USD","LU2860962120.EUR","LU0210533765.USD","LU0792757196.USD","LU2065169927.USD","LU0894486033.HKD","IE00BYQQ9H92.USD","LU0354030438.USD","IE00BSNM7G36.USD","LU0079474960.USD","SG9999018857.SGD","IE0034235303.USD","LU2361044865.SGD","LU0345774391.USD","LU1261432733.SGD","BK4538","LU2360108059.USD","LU2471134952.CNY","SG9999014880.SGD","LU0061475181.USD","IE00B19Z8X17.USD","LU2592432038.USD","LU0787776722.HKD","LU0323239441.USD","IE0004445239.USD","LU0069063385.USD","LU0171293334.USD","LU1323610961.USD","LU1989772923.USD","LU0289941410.SGD","LU1989772840.SGD","LU0198837287.USD","LU2023251221.USD","LU0912757837.SGD","SGXZ23171101.USD","LU0158827948.USD","BK4585","GB00B4QBRK32.GBP","LU2237443382.USD","LU2458330169.SGD","LU0348723411.USD","LU0640476718.USD","LU1506573853.SGD","LU1732799900.SGD","LU2148611432.USD","IE00BJLML261.HKD","LU0823417737.USD","LU1496350171.SGD","GB00BDT5M118.USD","LU0882574139.USD","LU2543165471.USD","LU0057025933.USD","LU0985320562.USD","LU0289960550.SGD","LU0210528500.USD","LU1145028129.USD","SG9999017495.SGD","LU1037948897.HKD","LU2756315664.SGD","LU0476273544.USD","LU2552382058.USD","LU0545562505.USD","IE00B775H168.HKD","LU2552382132.HKD","LU0795875086.SGD","LU2381873111.SGD","LU1032955483.USD","LU2602419157.SGD","LU1691799644.USD","LU0708995401.HKD","LU1244550221.USD","BK4598","LU0345770993.USD","LU2237443549.SGD","IE0001KFT4U8.USD","LU0072462426.USD","LU0868494617.USD","LU0661504455.SGD","LU1435385759.SGD","IE00BFSS7M15.SGD","LU1868836914.USD","LU1861127337.USD","LU2506952097.USD","LU0203201768.USD","LU1037948541.HKD","SG9999014906.USD","LU0302445910.USD","IE00B1BXHZ80.USD","LU0353189680.USD","LU0820562030.AUD","LU0353189763.USD","LU2456880835.USD","LU0823421333.USD","LU0444973449.USD","LU1267930730.SGD","LU1934455277.USD","LU2279689827.SGD","LU2347655073.USD","IE00BDCRKT87.USD","LU1221951046.USD","LU2065171402.SGD","BK4612","LU0342679015.USD","LU1823568750.SGD","IE00BJJMRX11.SGD","LU1119994496.HKD","LU1983260115.SGD","LU0642271901.SGD","LU1280957306.USD","LU1804176565.USD","IE0004086264.USD","BK4525","IE0005OL40V9.USD","BK4588","LU1551013342.USD","IE000YTNTUN2.SGD","BK4532","LU1188199696.SGD","LU0231203729.USD","LU1642822529.SGD","LU1196500208.SGD","LU0316494557.USD","LU1868837300.USD","LU0879622024.SGD","LU0256863811.USD","LU1043141396.HKD","LU1935043023.USD","BK4554","LU2347655156.SGD","LU1267930490.SGD","LU0345774631.USD","LU2023250504.SGD","LU2458330243.SGD","LU0466842654.USD","IE00BMPRXR70.SGD","LU1718418525.SGD","IE00BN29S564.USD","LU2237443465.HKD","LU2764262908.HKD","LU1035773651.USD","LU1267930813.SGD","LU2213496289.HKD","IE00B775SV38.USD","LU1791710400.SGD","LU1670711123.USD","LU2506952170.USD","LU0823421416.USD","LU1623119135.USD","LU0276348264.USD","LU0957808578.USD","LU1551013425.SGD","LU1917777945.USD","LU2462157665.USD","SGXZ31699556.SGD","LU0950375773.USD","LU0080751232.USD","SG9999004303.SGD","LU0215105999.USD","LU2242650005.HKD","LU2092937148.SGD","BK4097","LU1074936037.SGD","LU2404859667.USD","LU1564329115.USD","LU0256863902.USD","LU0345768153.USD","LU2237443895.HKD","LU1935042215.USD","LU2360106780.USD","IE0009356076.USD","LU0170899867.USD","LU0528227936.USD","LU2108987350.USD","LU0289961442.SGD","LU2111349929.HKD","LU0234570918.USD","LU2471134879.HKD","LU0823434740.USD","LU0323591593.USD","LU1803068979.SGD","LU2764263039.SGD","LU0095938881.EUR","LU1235295455.SGD","LU1670628061.USD","LU1582987597.SGD","LU1064131342.USD","BK4527","LU0320765059.SGD","LU1244550577.SGD","LU0238689110.USD","LU2491050154.USD","LU0314106906.USD","IE00BK4W5M84.HKD","LU2471134523.USD","LU2463028550.USD","LU1316542783.SGD","LU2420271590.USD","IE00B19Z8W00.USD","IE00BHPRN162.USD","SG9999014567.USD","BK4548","LU0417517546.SGD","LU0689626769.HKD","LU2041044095.USD","LU0683600562.USD","IE00BLSP4452.SGD","LU0124676726.USD","LU1340139317.AUD","SGXZ99366536.SGD","BK4592","LU2417539215.USD","LU1084165304.USD","SG9999000418.SGD","LU1267930656.SGD","LU1366333091.USD","LU1670710588.SGD","LU2505996509.AUD","LU2210149790.SGD","LU2403377893.USD","LU0345769631.USD","LU2236285917.USD","BK4567","LU2298321311.HKD","LU2433249047.HKD","LU2452424414.USD","LU1267930573.SGD","LU1043141123.HKD","LU1235294995.USD","LU2750360997.AUD","LU0965508806.USD","LU0354030511.USD","LU2750360641.GBP","LU0265550946.USD","LU0456855351.SGD","LU0109392836.USD","LU2362541513.USD","LU2506951875.HKD","LU2461242641.AUD","LU1988902786.USD","BK4550","LU2237957902.USD","LU1803068623.USD","CTSH","LU1935042488.USD","LU0795875169.SGD","IE00B4YYXB79.USD","LU2505996681.GBP","SGXZ51526630.SGD","LU0029864427.USD","LU1923622614.USD","BK4534","SG9999014898.SGD","LU0820561818.USD","LU1934455863.HKD","LU2211815571.USD","SG9999002232.USD","LU0211327993.USD","LU2092937221.SGD","LU1974910355.USD","IE00BYXW3230.USD","LU1228905540.USD","LU1334329650.SGD","IE0003U64NQ7.SGD","LU1048596156.SGD","LU0823417653.USD","LU0210536198.USD","SG9999018865.SGD","LU2404859741.USD","LU2191332357.HKD","LU0823434583.USD","LU1815336760.USD","LU1429558221.USD","LU1868836591.USD","LU2168564149.EUR","LU1032466523.USD","LU1989764748.USD","LU0096362180.USD","LU0149725797.USD","LU2265009873.SGD","LU1633808545.USD","LU0690374615.EUR","LU1670711040.USD","LU0094547139.USD","LU1814569148.SGD","IE00BK4W5L77.USD","LU1003077747.HKD","LU2491049909.HKD","LU0175139822.USD","LU0310800379.SGD","LU2023250330.USD","LU0234572021.USD","LU2237443978.SGD","IE000W1ABFV2.USD","LU1868837136.USD","IE00BDRTCR15.USD","SG9999015358.SGD","LU1564329032.USD","LU0289739343.SGD","LU2237443622.USD","SGXZ81514606.USD","LU1721428933.USD","LU1228905037.USD","LU2471134796.USD","LU0957791311.USD","LU2063271972.USD","LU2552382215.SGD","LU0070217475.USD","LU2413666426.HKD","BK4543","LU1989773731.SGD","LU0077335932.USD","LU0426417589.USD","LU1585245621.USD","LU2237957811.SGD","LU0889566641.SGD","LU1548497426.USD","LU2097344431.USD","LU1712237335.SGD","LU0553294199.USD","IE00BMPRXN33.USD","LU0943347566.SGD","IE0004445015.USD","LU1059921491.USD","LU0757359368.USD","IE0034235295.USD","LU2125909247.SGD","LU2361044949.HKD","LU0225283273.USD","BK4528","LU0107464264.USD","LU1989764664.SGD","IE00BKDWB100.SGD","LU2746668974.SGD","IE00BMPRXQ63.HKD","LU0056508442.USD","LU1430594728.SGD","LU0006306889.USD","LU2430703251.USD","LU1035775433.USD","LU0820561909.HKD","LU0109391861.USD","LU2430703095.HKD","LU1732800096.USD","SG9999015341.SGD","MSFT","LU0719512351.SGD","LU2242649171.HKD","LU0061474705.USD","LU0345768740.USD","LU2168564495.EUR","LU1244550494.USD","LU0048584097.USD","LU0690374961.EUR","LU0821914370.USD","LU1181866309.USD","LU0965509101.SGD","BK4533","BK4535","IE0034235188.USD","IE00BJJMRY28.SGD","IE00BBT3K403.USD","BK4516","LU0053666078.USD","LU1564329628.SGD","BK4576","LU1914381329.SGD","LU0266013472.USD","LU1778281490.HKD","SG9999014542.SGD","SG9999001077.SGD","LU0784383803.USD","IE00BJTD4N35.SGD","LU2357305700.SGD","LU2083900584.USD","IE00B3S45H60.SGD","LU0251132253.USD","LU0994945656.USD","IE000ITXATA3.USD","LU0708995666.HKD","SG9999015945.SGD","BK4579","SG9999014575.USD","LU1116320737.USD","LU2077746001.SGD","LU0557290698.USD","LU1670710661.SGD","LU0308772762.SGD","LU1069344957.HKD","LU0072462343.USD","IE00B1XK9C88.USD","LU0011850046.USD","LU1582987324.SGD","LU0203202063.USD","LU0960925559.SGD","IE00BQXX3F31.USD","LU2362540622.SGD","LU0738911758.USD","LU1066053197.SGD","LU0788109477.HKD","LU0784385170.HKD","LU1236620834.HKD","LU2746668461.USD","LU0127658192.USD","LU1127390331.HKD","LU0426412945.USD","LU2896262040.SGD","LU0347712357.USD","LU1868836757.USD","LU2065170008.USD","LU0345769128.USD","LU2326559502.SGD","BK4134","IE00BN8TJ469.HKD","LU2764263203.CNY","LU1697837992.HKD","LU2271345857.HKD","LU2487616109.SGD","IE0009G5SDU7.USD","LU2264538146.SGD","LU2244417387.USD","LU2210150020.SGD","IE00BQXX3D17.EUR","LU0390134368.USD","LU0494093205.USD","LU1048588211.SGD","LU0314104364.USD","BK4587","LU1232071149.USD","LU2168563687.JPY","IE00BFXG0V08.USD","LU2247934214.USD","LU0081259029.USD","BK4566","LU2237438978.USD","LU0211328371.USD","LU1582986359.USD","LU1221951129.SGD","LU2125154778.USD","LU0784384876.USD","BK4504","IE00BWXC8680.SGD","LU1066051225.USD","BK4577","LU2756315318.SGD","LU1815333072.USD","LU0265550359.USD","LU0965509283.SGD","LU1069347547.HKD","LU0128525929.USD","LU0006061336.USD","LU0187121727.USD","LU1989763005.USD","LU2491050071.SGD","LU0096364046.USD","LU1066051498.USD","LU2250418816.HKD","LU2125154935.USD","LU2413666699.HKD","SG9999014559.SGD","LU1236620750.USD","IE00B5TLWC47.USD"],"gpt_icon":0},{"id":"2589149618","title":"Cognizant目标到2030年提升两百万人的技能水平","url":"https://stock-news.laohu8.com/highlight/detail?id=2589149618","media":"美通社","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2589149618?lang=zh_cn&edition=fundamental","pubTime":"2025-12-05 20:39","pubTimestamp":1764938340,"startTime":"0","endTime":"0","summary":"Cognizant已经提前超额完成了到2026年底提升100万人技能水平的目标，并正在进一步加大投入力度，为个人提供参与未来数字化驱动劳动力市场所需的技能培训。Cognizant的Synapse计划旨在通过调动全公司的力量，促进学习与发展，推动技术合作伙伴关系的建立，并加大对社区公益项目的投入，以应对这一挑战。Cognizant旨在通过Synapse计划为劳动力准备度树立新标准。除适用证券法律另有要求外，Cognizant无义务因新信息、未来事件或其他原因更新或修订任何前瞻性陈述。","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://wwwold.prnasia.com/story/archive/4838892_ZH38892_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":"prnasia","symbols":["LU0823417653.USD","BK4585","LU1267930656.SGD","LU0708995666.HKD","LU1048588211.SGD","LU0823417737.USD","LU0536402901.SGD","LU0072462343.USD","LU0231203729.USD","LU0821914370.USD","BK4588","LU1839511570.USD","LU2506951958.HKD","LU2506952097.USD","LU2506951875.HKD","LU2506952170.USD","CTSH","LU0006061336.USD","BK4134","LU0950375773.USD","LU1048596156.SGD","LU2087621335.USD"],"gpt_icon":0},{"id":"2585144707","title":"BUZZ-威廉-布莱尔将 Cognizant 的评级上调至 \"跑赢大盘 \"后，该公司股价上涨","url":"https://stock-news.laohu8.com/highlight/detail?id=2585144707","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2585144707?lang=zh_cn&edition=fundamental","pubTime":"2025-11-21 23:57","pubTimestamp":1763740667,"startTime":"0","endTime":"0","summary":"BUZZ-威廉-布莱尔将 Cognizant 的评级上调至 \"跑赢大盘 \"后，该公司股价上涨11月21日 - ** IT 咨询公司 Cognizant 的 CTSH.O 股价上涨 3.1%，至 74.60 美元** 威廉-布莱尔将其评级从 \"市场表现 \"上调至 \"跑赢大盘\"。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":"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:20251121:nL4T3WX15D: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":["LU0950375773.USD","LU1839511570.USD","LU0821914370.USD","BK4134","LU0823417737.USD","LU0072462343.USD","LU1048596156.SGD","LU2506952097.USD","LU0536402901.SGD","LU2087621335.USD","LU0006061336.USD","LU0823417653.USD","BK4585","LU0231203729.USD","LU0708995666.HKD","LU2506951875.HKD","LU1267930656.SGD","CTSH","BK4588","LU2506952170.USD","LU2506951958.HKD","LU1048588211.SGD"],"gpt_icon":0},{"id":"2583666275","title":"Cognizant收购3Cloud，塑造行业领军力量","url":"https://stock-news.laohu8.com/highlight/detail?id=2583666275","media":"美通社","labels":["corporation","merge"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2583666275?lang=zh_cn&edition=fundamental","pubTime":"2025-11-16 18:46","pubTimestamp":1763289960,"startTime":"0","endTime":"0","summary":"Cognizant收购3Cloud，塑造Microsoft Azure服务与企业AI转型行业领军力量  推动Cognizant的AI构建者战略，赋能客户在面向AI驱动运营的现代化基础设施上快速构建、部署并扩展企业级AI解决方案。此次收购将显著拓展Cognizant的Azure产品组合，并深化其在工程密集型复杂项目中的专业能力，从而推动以AI为主导的业务转型。“Microsoft Azure是AI转型的首选平台，Cognizant将通过收购3Cloud来打造Azure生态系统中最具实力与资质的合作伙伴之一。”","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://wwwold.prnasia.com/story/archive/4823606_ZH23606_1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"corporation,merge","news_rank":0,"length":0,"strategy_id":0,"source":"prnasia","symbols":["LU0642271901.SGD","LU1974910355.USD","SG9999002224.SGD","LU0472753341.HKD","LU0289941410.SGD","LU1228905540.USD","LU1323610961.USD","LU2491049909.HKD","LU0820561909.HKD","LU1066051225.USD","IE0009G5SDU7.USD","LU0792757196.USD","BK4023","LU1815333072.USD","LU0757359954.USD","LU1712237335.SGD","LU2028103732.USD","LU1430594728.SGD","SG9999014906.USD","LU1366333091.USD","CTSH","SG9999014880.SGD","LU2191332357.HKD","LU0640476718.USD","AI","IE00B3S45H60.SGD","LU0289960550.SGD","LU2237443465.HKD","LU1934455863.HKD","IE000YTNTUN2.SGD","LU1989764748.USD","LU2106854487.HKD","LU0719512351.SGD","IE0004091025.USD","IE000ITXATA3.USD","LU2092937148.SGD","LU2461242641.AUD","LU2063271972.USD","IE00B775H168.HKD","IE0004445015.USD","LU1121112475.USD","LU0861579265.USD","LU1732800096.USD","LU0079474960.USD","MSFT","LU0949170772.SGD","LU0545039389.USD","LU0683600562.USD","LU1046421795.USD","IE00BYXW3230.USD"],"gpt_icon":0},{"id":"2581060497","title":"EPAM 上调 2025 年预测，因 IT 服务支出强劲","url":"https://stock-news.laohu8.com/highlight/detail?id=2581060497","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2581060497?lang=zh_cn&edition=fundamental","pubTime":"2025-11-06 20:37","pubTimestamp":1762432631,"startTime":"0","endTime":"0","summary":"路透11月6日 - EPAM系统公司EPAM.N今年第三次上调了年度盈利预期，原因是企业为实现人工智能系统的现代化投入了更多资金，这使得这家IT咨询公司的股价在周四的盘前交易中上涨了4%。EPAM 现在预计全年调整后每股收益在 11.36 美元至 11.44 美元之间，高于之前的每股 10.96 美元至 11.12 美元。该公司目前预计2025年的营收将增长14.8%至15.2%，高于此前预测的13.0%至15.0%。在截至 9 月 30 日的第三季度，EPAM 实现营收 13.9 亿美元，高于预期的 13.8 亿美元。","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:20251106:nL4T3WI1AY: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":["LU0821914370.USD","LU0823417737.USD","LU0823417653.USD","LU2125910500.SGD","LU1048588211.SGD","LU1048596156.SGD","LU0106261612.USD","BK4566","LU0012050646.USD","BK4134","LU0231203729.USD","LU0708995666.HKD","LU2506951875.HKD","LU1839511570.USD","LU2045819591.USD","IE00B0169N27.USD","LU2087621335.USD","LU2506952170.USD","LU0072462343.USD","LU1267930656.SGD","LU0536402901.SGD","CTSH","LU0950375773.USD","LU0047713382.USD","EPAM","LU2506951958.HKD","BK4588","LU2506952097.USD","BK4585","LU0006061336.USD"],"gpt_icon":0},{"id":"2581740244","title":"Cognizant借助Claude加速企业级AI规模化应用","url":"https://stock-news.laohu8.com/highlight/detail?id=2581740244","media":"美通社","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2581740244?lang=zh_cn&edition=fundamental","pubTime":"2025-11-05 15:08","pubTimestamp":1762326480,"startTime":"0","endTime":"0","summary":"Cognizant借助Anthropic的Claude模型加速企业级AI规模化应用，并部署Claude以推动内部AI转型  Cognizant将在其平台中整合Claude模型与智能体工具，助力客户推动AI应用的现代化进程并实现规模化部署。Cognizant应用Claude，旨在帮助客户更快速地将AI从试点阶段推向生产，并在全企业范围内扩展AI能力。Cognizant还将在内部向核心职能部门、工程及交付团队提供Claude，以提升生产力并加速AI成熟度发展。","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://wwwold.prnasia.com/story/archive/4813296_ZH13296_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":["LU0006061336.USD","BK4543","LU2087621335.USD","LU0072462343.USD","BK4551","BK4588","BK4023","LU2506952097.USD","LU0536402901.SGD","LU1048588211.SGD","BK4585","LU1048596156.SGD","LU0821914370.USD","LU2506951958.HKD","LU0231203729.USD","BK4587","BK4528","LU0823417737.USD","AI","LU0708995666.HKD","LU0950375773.USD","LU1267930656.SGD","LU1839511570.USD","LU2506951875.HKD","CTSH","LU0823417653.USD","LU2506952170.USD","BK4134"],"gpt_icon":0},{"id":"1147959305","title":"高知特引入Anthropic的Claude推动企业级AI大规模采用，助力内部AI转型","url":"https://stock-news.laohu8.com/highlight/detail?id=1147959305","media":"美股速递","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1147959305?lang=zh_cn&edition=fundamental","pubTime":"2025-11-04 13:01","pubTimestamp":1762232493,"startTime":"0","endTime":"0","summary":"高知特引入Anthropic的Claude推动企业级AI大规模采用，助力内部AI转型","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU0536402901.SGD","LU1048588211.SGD","LU0231203729.USD","BK4588","LU0823417653.USD","CTSH","LU0072462343.USD","LU0950375773.USD","LU2506951875.HKD","LU0821914370.USD","LU1048596156.SGD","LU0006061336.USD","LU1839511570.USD","LU2506951958.HKD","LU0708995666.HKD","LU2087621335.USD","LU0823417737.USD","LU2506952097.USD","LU2506952170.USD","LU1267930656.SGD","BK4134","BK4585"],"gpt_icon":0},{"id":"2580224894","title":"媒体-Anthropic 成为 Cognizant 的企业人工智能客户 - 华尔街日报","url":"https://stock-news.laohu8.com/highlight/detail?id=2580224894","media":"路透中文","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2580224894?lang=zh_cn&edition=fundamental","pubTime":"2025-11-04 06:54","pubTimestamp":1762210491,"startTime":"0","endTime":"0","summary":"媒体-Anthropic 成为 Cognizant 的企业人工智能客户 - 华尔街日报11月3日 - -- 来源链接： https://tinyurl.com/57xzxwvz -- 注：路透未核实此报道，不保证其准确性(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":"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:20251103:nL4S3WF1QW: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":null,"symbols":["LU1244550221.USD","SG9999015986.USD","IE00B7SZLL34.SGD","LU1804176565.USD","LU2168564065.EUR","SGXZ51526630.SGD","LU1629891620.HKD","LU1935042488.USD","USAW.SI","LU0882574139.USD","LU2168563687.JPY","LU2065169927.USD","CTSH","LU0889565833.HKD","IE00BKPKM429.USD","LU1778281490.HKD","LU2168564222.USD","LU0203201768.USD","BK4122","IE000W1ABFV2.USD","LU0348723411.USD","LU0289941410.SGD","LU2242650005.HKD","LU0251132253.USD","LU2168564149.EUR","LU0077335932.USD","IE00B19Z3B42.SGD","LU1066051225.USD","LU2168564495.EUR","IE0009356076.USD","LU0203202063.USD","LU0158827781.USD","LU0312595415.SGD","LU0353189680.USD","LU0149725797.USD","LU1935042991.SGD","LU2326559502.SGD","IE0002270589.USD","LU2023250330.USD","LU2452424414.USD","LU1633808545.USD","LU0823411888.USD","LU1720051017.SGD","BK4561","IE00BZ1G4Q59.USD","LU0965509101.SGD","LU0823417737.USD","LU0950375773.USD","SG9999018857.SGD"],"gpt_icon":0},{"id":"2580295045","title":"高知特2025财年第三财季实现净利润2.74亿美元，同比减少52.92%","url":"https://stock-news.laohu8.com/highlight/detail?id=2580295045","media":"市场透视","labels":["dataReport"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2580295045?lang=zh_cn&edition=fundamental","pubTime":"2025-11-03 00:00","pubTimestamp":1762099229,"startTime":"0","endTime":"0","summary":"11月3日，高知特公布财报，公告显示公司2025财年第三财季净利润为2.74亿美元，同比减少52.92%；其中营业收入为54.15亿美元，同比增加7.36%，每股基本收益为0.56美元。从资产负债表来看，高知特总负债52.37亿美元，其中短期债务1.87亿美元，资产负债比为3.85，流动比率为2.36。机构评级：截至2025年11月3日，当前有21家机构对高知特目标价做出预测，其中目标均价为84.71美元，其中最低目标价为70.00美元，最高目标价为103.00美元。","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=nesSN20251103000032a6dbe653&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":["earning"],"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=nesSN20251103000032a6dbe653&s=b","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":"tencent","symbols":["CTSH"],"gpt_icon":0},{"id":"2579812199","title":"美国研究综述-Alphabet、波音、KLA","url":"https://stock-news.laohu8.com/highlight/detail?id=2579812199","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2579812199?lang=zh_cn&edition=fundamental","pubTime":"2025-10-30 15:44","pubTimestamp":1761810277,"startTime":"0","endTime":"0","summary":"美国研究综述-Alphabet、波音、KLA路透10月30日 - 华尔街证券分析师周四调整了对包括 Alphabet、波音和 KLA 在内的几家美国上市公司的评级和目标价。要闻* Alphabet Inc GOOGL.O：Canaccord Genuity将目标价从270美元上调至330美元* 波音BA.N：摩根大通将目标价从251美元下调至240美元* 卡特彼勒CAT.N：摩根大通将目标价从650美元上调至730美元* Equinix Inc EQIX.O：摩根大通将目标价从940美元上调至950美元* KLA Corp KLAC.O：贝伦贝格将目标价从1010美元上调至1460美元以下是路透周四报道的美国公司研究报告摘要。","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:20251030:nL4S3WB0W9:1","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":["CWH","LU2756315664.SGD","BA","ATRC","AXGN","GOOGL","LU1935043023.USD","GEHC","LU1048588211.SGD","ADP","IEX","BK4187","BK4198","BIO","EQR","CAT","FTV","GKOS","GNRC","ALSN","LU0426417589.USD","EQIX","EAT","LU0980610538.SGD","CVS","FSBC","GH","FLS","BBIO","BK4548","AVTR","CAKE","DHI","CVNA","EVR","BK4149","GTES","KLAC","BK4077","FULC","CSGS","BOOT","CMG","LU0950375773.USD","ESAB","SG9999014914.USD","AZTA","ALGN","CTSH"],"gpt_icon":1},{"id":"2579185650","title":"BUZZ--美国股票走势-Verisk, Fiserv, 波音公司","url":"https://stock-news.laohu8.com/highlight/detail?id=2579185650","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2579185650?lang=zh_cn&edition=fundamental","pubTime":"2025-10-30 00:05","pubTimestamp":1761753910,"startTime":"0","endTime":"0","summary":".N美国东部时间11:30，道琼斯工业平均指数.DJI上涨0.46%，报47925.83点。标普500指数.SPX上涨0.21%，报6,905.78点；纳斯达克综合指数.IXIC上涨0.55%，报23,959.08点。","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:20251029:nL4T3WA24O: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":["CDE","MAS","PUMP","FISV","NVDU","CVS","COCO","CTSH","PPTA","ODFL","CNC","AER","LRN","OTIS","AMPY","BBIO","CAT","VZ","NFE","HRL","FCX","FI","BA","ETSY","GEHC","AEP","NVDD","VRSK","FTV","GNRC","JAMF","TEL","HL","IEX","NVDS","NVD","CZR","KHC","SCCO","EAT"],"gpt_icon":1},{"id":"1126999561","title":"异动解读 | 高知特上调全年利润预期，盘中大涨10.85%","url":"https://stock-news.laohu8.com/highlight/detail?id=1126999561","media":"异动解读","labels":["movement"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1126999561?lang=zh_cn&edition=fundamental","pubTime":"2025-10-29 21:37","pubTimestamp":1761745022,"startTime":"0","endTime":"0","summary":"IT咨询公司高知特今日盘中大涨10.85%，引发市场广泛关注。这一显著涨幅主要源于公司上调了2025年全年调整后利润预期，反映出企业客户在数字化转型方面的支出强劲。高知特将2025财年调整后每股利润预测上调至5.22美元至5.26美元之间，高于此前5.08美元至5.22美元的预期范围。值得注意的是，高知特第三季度业绩表现亮眼，营收达到54.2亿美元，超出市场预期的53.2亿美元。","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":"movement","news_rank":0,"length":0,"strategy_id":0,"source":"ai_movement_cn","symbols":["CTSH"],"gpt_icon":0},{"id":"2579091349","title":"BUZZ-Cognizant 上调年度调整后利润预期后上涨","url":"https://stock-news.laohu8.com/highlight/detail?id=2579091349","media":"路透中文","labels":["dataReport"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2579091349?lang=zh_cn&edition=fundamental","pubTime":"2025-10-29 21:08","pubTimestamp":1761743311,"startTime":"0","endTime":"0","summary":"10月29日 - ** IT咨询公司Cognizant Technology CTSH.O股价盘前上涨7.2%至72.68美元** 将2025财年每股收益预测范围从之前的 5.08美元至5.22美元上调至5.22美元至5.26美元。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":"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:20251029:nL4S3WA1NM:1","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":null,"symbols":["LU0950375773.USD","BK4588","LU2506951958.HKD","LU0536402901.SGD","LU0231203729.USD","LU1048596156.SGD","LU0006061336.USD","LU1839511570.USD","LU2506952170.USD","BK4134","LU0823417737.USD","LU2506952097.USD","LU0821914370.USD","LU0072462343.USD","LU0823417653.USD","LU2506951875.HKD","LU0708995666.HKD","LU1267930656.SGD","CTSH","BK4585","LU2087621335.USD","LU1048588211.SGD"],"gpt_icon":0},{"id":"1130176973","title":"异动解读 | 高知特盘前大涨7.77%，上调年度利润预期推动股价上扬","url":"https://stock-news.laohu8.com/highlight/detail?id=1130176973","media":"异动解读","labels":["movement"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1130176973?lang=zh_cn&edition=fundamental","pubTime":"2025-10-29 20:02","pubTimestamp":1761739342,"startTime":"0","endTime":"0","summary":"高知特今日盘前大涨7.77%，引发市场广泛关注。这一显著涨幅主要源于公司上调了2025年全年调整后利润预期，反映出企业客户在数字化转型方面的支出强劲。根据最新公告，高知特将年度调整后每股利润预测上调至5.22美元至5.26美元之间，高于此前5.08美元至5.22美元的预期范围。尽管面临H-1B签证政策变化带来的不确定性，高知特第三季度营收达到54.2亿美元，超出市场预期，进一步增强了投资者信心。","market":"sg","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"movement","news_rank":0,"length":0,"strategy_id":0,"source":"ai_movement_cn","symbols":["CTSH"],"gpt_icon":0},{"id":"2579908981","title":"客户支出强劲，Cognizant 上调年度调整后利润预期","url":"https://stock-news.laohu8.com/highlight/detail?id=2579908981","media":"路透中文","labels":["dataReport"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2579908981?lang=zh_cn&edition=fundamental","pubTime":"2025-10-29 20:00","pubTimestamp":1761739210,"startTime":"0","endTime":"0","summary":"路透10月29日 - Cognizant Technology CTSH.O周三上调了2025年全年调整后利润预期，预计企业客户希望利用人工智能升级数字基础设施的支出将激增。Cognizant将 年收入预期的下限  从 207 亿美元  上调 至 210.5 亿美元，而上限保持不变，仍为 211 亿美元。Cognizant 第三季度营收为 54  . 2 亿美元 ，高于 预期的 53.2 亿美元。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":"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:20251029:nL4T3WA1GQ:1","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":null,"symbols":["BK4585","LU1048588211.SGD","LU2506952097.USD","LU0006061336.USD","LU1048596156.SGD","LU2506952170.USD","LU2506951875.HKD","LU1267930656.SGD","BK4588","LU2506951958.HKD","LU0536402901.SGD","CTSH","LU0708995666.HKD","LU1839511570.USD","LU0950375773.USD","LU0823417653.USD","LU0821914370.USD","LU2087621335.USD","LU0231203729.USD","LU0072462343.USD","BK4134","LU0823417737.USD"],"gpt_icon":0},{"id":"2578648691","title":"人工智能推动美国资本支出创新高，回购退居次席","url":"https://stock-news.laohu8.com/highlight/detail?id=2578648691","media":"路透中文","labels":["shareholding"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2578648691?lang=zh_cn&edition=fundamental","pubTime":"2025-10-27 19:21","pubTimestamp":1761564108,"startTime":"0","endTime":"0","summary":"路透10月27日 - 尽管有关估值飙升和人工智能泡沫的争论仍在继续，但投资者越来越青睐那些将资金用于人工智能创新的美国公司，而不是那些提供股息和回购等传统股东回报的公司。对投资者来说，优先考虑的是长期增长而不是眼前的利润，因为他们认识到，忽视人工智能投资的公司有可能在许多人认为当代最具变革性的技术转变中落伍。","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:20251027:nL4T3W80UI: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":["LU2756315318.SGD","LU0211328371.USD","LU0672654240.SGD","ACN","LU2237443978.SGD","LU0011850046.USD","USAW.SI","LU0289941410.SGD","BK4505","BK4504","LU0823421416.USD","META","BK4528","CTSH","BAC","ORCL","LU1366333091.USD","SG9999015952.SGD","GOOGL","LU0964807845.USD","LU1894683264.USD","LU2087621335.USD","LU0171293334.USD","PEP","LU2506952097.USD","LU0267386448.USD","LU0477156953.USD","LU0511384066.AUD","LU1670711040.USD","MDLZ","LU2506951875.HKD","LMT","LU0477156797.USD","LU0094547139.USD","LU0208291251.USD","LU0203345920.USD","LU0823434740.USD","WMT","LU0823434583.USD","NOC","LU0553294199.USD","LU0742534661.SGD","MSFT","IE00BZ1G4Q59.USD","LU2168564495.EUR"],"gpt_icon":1},{"id":"2575847350","title":"美国研究综述-美国运通、贝莱德、多米诺比萨","url":"https://stock-news.laohu8.com/highlight/detail?id=2575847350","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2575847350?lang=zh_cn&edition=fundamental","pubTime":"2025-10-13 16:09","pubTimestamp":1760342985,"startTime":"0","endTime":"0","summary":"美国研究综述-美国运通、贝莱德、多米诺比萨路透社10月13日 - 华尔街证券分析师周一调整了对美国运通、贝莱德和多米诺比萨等多家美国上市公司的评级和目标价。股票条目按字母顺序排列。* Akero Therapeutics Inc AKRO.O：TD Cowen将其评级从 \"买入 \"下调至 \"持有\"。","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:20251013:nL3S3VU0H2:1","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":["AMH","CMS","LU1989772923.USD","CUZ","BFH","CIVI","APA","MACW.SI","CRL","BRBR","IE000W1ABFV2.USD","LU0792757196.USD","CUBE","CMG","ASGN","CCI","DAL","CTSH","LU1861217088.USD","O","CRC","AKRO","DPZ","AHR","CDP","AMT","CVLT","CVX","IE00B7SZLL34.SGD","AVB","EGP","AGX","LU2505996509.AUD","AXP","LU0536402901.SGD","CPT","COP","DEA","CHD","BLK","EAT","ALNY","CRWD","BXP","LU1066051811.HKD","DLR","EOG"],"gpt_icon":1},{"id":"2569079917","title":"独家-埃森哲拟在印度安得拉邦新建园区，计划增加 12,000 个工作岗位","url":"https://stock-news.laohu8.com/highlight/detail?id=2569079917","media":"路透中文","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2569079917?lang=zh_cn&edition=fundamental","pubTime":"2025-09-23 18:14","pubTimestamp":1758622499,"startTime":"0","endTime":"0","summary":"独家-埃森哲拟在印度安得拉邦新建园区，计划增加 12,000 个工作岗位Rishika Sadam/Haripriya Suresh. 路透社海德拉巴/班加罗尔9月23日 - 三位熟悉内情的消息人士告诉路透社，技术咨询公司埃森哲ACN.N已提议在印度南部的安得拉邦建立一个新的园区，目标是最终为其在印度的员工队伍增加约1.2万个工作岗位。目前尚不清楚埃森哲打算为建立该园区投入多少资金。TCS 和 Cognizant 根据政策获得了土地租赁权，将在维萨卡帕特南建设可创造约 20,000 个就业岗位的园区。","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:20250923:nL3T3VA0K5:1","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":null,"symbols":["ACN","SG9999018857.SGD","LU0149725797.USD","LU0553294199.USD","LU2087621335.USD","BK4534","BK4533","LU0511384066.AUD","LU0868494617.USD","IE00BSNM7G36.USD","IE000M9KFDE8.USD","LU0545039389.USD","IE00BFSS8Q28.SGD","LU0950375773.USD","LU0006061336.USD","IE00B7KXQ091.USD","LU0545562505.USD","LU1003077747.HKD","LU1032466523.USD","LU1267930656.SGD","LU1048596156.SGD","LU2133065610.SGD","LU2506951958.HKD","LU2506952170.USD","BK4566","LU1116320737.USD","LU1989772840.SGD","LU0821914370.USD","LU0323239441.USD","LU2211815571.USD","LU0157215616.USD","LU0942090050.USD","LU0175139822.USD","LU0289739343.SGD","LU0738911758.USD","LU0289960550.SGD","LU2247934214.USD","CTSH","LU1989772923.USD","LU1506573853.SGD","LU0949170772.SGD","IE00BFSS7M15.SGD","LU0536402901.SGD","SG9999004303.SGD","LU0868494708.USD","SG9999014906.USD","LU0265550359.USD","LU0231203729.USD","BK4581","LU0823417653.USD"],"gpt_icon":1}],"pageSize":20,"totalPage":3,"pageCount":1,"totalSize":46,"code":"91000000","status":"200"}]}}