美股详情

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

印孚瑟斯

14.65

+0.10000.69%

盘后：14.690.0400+0.27%19:58 EST

成交量：1,584.59万

成交额：2.33亿

市值：592.74亿

市盈率：18.90

高：14.92

开：14.61

低：14.60

收：14.55

52周最高：30.00

52周最低：14.19

股本：40.46亿

流通股本：34.44亿

量比：0.73

换手率：0.46%

股息：0.52

股息率：3.52%

每股收益(TTM):0.7753

每股收益(LYR):0.7625

净资产收益率：32.68%

总资产收益率：15.67%

市净率：6.42

市盈率(LYR):19.21

数据加载中...

总览公司新闻资讯公告

BUZZ-敌强我弱"：TD Cowen 支持印度人工智能收入前景；Infosys 领涨 IT 股

周二值得关注的股票：挪威邮轮、凯悦酒店、以星航运、美敦力

印孚瑟斯与 Anthropic合作推出高端企业级人工智能解决方案

环球市场播报

Infosys与埃克森美孚合作，共同推进浸没式冷却技术，助力可持续人工智能基础设施建设

印孚瑟斯盘中异动股价大跌5.15%报14.95美元

受AI担忧影响印度印孚瑟斯、塔塔咨询引领印度软件股抛售

环球市场播报

美股“假摔”or分水岭？

Infosys荣膺全球增长最快的IT服务品牌，品牌价值年复合增长率高达15%

印孚瑟斯上调全年营收预测，因大型交易增加

环球市场播报

异动解读 | 印孚瑟斯盘中大涨5.14%，财报超预期并上调全年指引

异动解读 | 印孚瑟斯盘前大涨5.02%，财报超预期并上调全年指引

Infosys第三季度营收超预期上调全年业绩指引区间

环球市场播报

Infosys和AWS合作加速企业采用生成式人工智能

印孚瑟斯宣布与亚马逊云科技达成新合作

观点新媒体

财报前瞻｜印孚瑟斯本季度营收预计增3.92%，机构观点偏乐观

印孚瑟斯盘中异动早盘快速下跌5.04%

印度第二大IT服务商印孚瑟斯(Infosys)表示，没有重大信息需要披露

印孚瑟斯盘中异动急速拉升5.06%

Infosys今日发布Infosys Topaz Fabric™-------可组合的人工智能代理、服务和模型堆栈，可加速企业人工智能投资的价值

Infosys Salesforce客户体验套件今日发布

{"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/INFY/news"},"companyName":"老虎证券"},"pageData":{"isMobile":false,"isTiger":false,"isTTM":true,"region":"SGP","license":"TBSG","edition":"fundamental","symbol":"INFY","isAnalysisPage":false},"__swrFallback__":{"@#url:\"https://hq.skytigris.cn/stock_info/detail/global\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"INFY\",,,,,undefined,":{"symbol":"INFY","market":"US","secType":"STK","nameCN":"印孚瑟斯","latestPrice":14.65,"timestamp":1771621200000,"preClose":14.55,"halted":0,"volume":15845866,"hourTrading":{"tag":"盘后","latestPrice":14.69,"preClose":14.65,"latestTime":"19:58 EST","volume":160069,"amount":2354658.962,"timestamp":1771635524965,"change":0.04,"changeRate":0.00273,"amplitude":0.006143},"delay":0,"changeRate":0.0068728522336769515,"floatShares":3444000000,"shares":4046000000,"eps":0.775271,"marketStatus":"休市中","change":0.1,"latestTime":"02-20 16:00:00 EST","open":14.61,"high":14.92,"low":14.6042,"amount":233223448.946232,"amplitude":0.021704,"askPrice":0,"askSize":0,"bidPrice":0,"bidSize":0,"shortable":3,"etf":0,"ttmEps":0.775271,"tradingStatus":0,"nextMarketStatus":{"tag":"盘前交易","tradingStatus":1,"beginTime":1771837200000},"marketStatusCode":7,"adr":1,"adrRate":1,"listingDate":921128400000,"exchange":"NYSE","adjPreClose":14.55,"dividendRate":0.035219,"preHourTrading":{"tag":"盘前","latestPrice":14.62,"preClose":14.55,"latestTime":"09:26 EST","volume":4335,"amount":63205.591830000005,"timestamp":1771597604237,"change":0.07,"changeRate":0.004811,"amplitude":0.018557},"postHourTrading":{"tag":"盘后","latestPrice":14.69,"preClose":14.65,"latestTime":"19:58 EST","volume":160069,"amount":2354658.962,"timestamp":1771635524965,"change":0.04,"changeRate":0.00273,"amplitude":0.006143},"volumeRatio":0.733408562300568,"impliedVol":0.4964,"impliedVolPercentile":0.9482},"@#url:\"https://hq.skytigris.cn/stock_info/fundamental/all\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"INFY\",,,,,undefined,":{"symbol":"INFY","floatShares":3444000000,"roa":"15.67%","roe":"32.68%","lyrEps":0.762505,"volumeRatio":0.733408562300568,"shares":4046000000,"dividePrice":0.515963,"high":14.92,"amplitude":0.021704,"preClose":14.55,"low":14.6042,"week52Low":14.19,"pbRate":"6.42","psRate":"2.99","week52High":30,"institutionHeld":0.133,"latestPrice":14.65,"eps":0.775271,"divideRate":0.035219,"volume":15845866,"delay":0,"ttmEps":0.775271,"open":14.61,"prevYearClose":17.82,"prevWeekClose":14.72,"prevMonthClose":17.58,"prevQuarterClose":17.82,"fiveDayClose":14.21,"twentyDayClose":18.29,"sixtyDayClose":17.7,"dividendPayoutRate":0.6576192942997096,"dividendFrequency":"S","dividendGrowthYears":4,"dividendGrowthRate":0.3824115657229818,"fiveYearAvgDividendRate":0.01883232399656623},"@#url:\"https://hq.skytigris.cn/fundamental/corporate_actions/details/INFY\",params:#limit:5,,,undefined,":[{"market":"US","date":"2026-01-14","symbol":"INFY","fiscalQuarterEnding":"2025/12","expectedEps":0.2,"name":null,"time":"","type":"earning","dateTimestamp":1768366800000,"reportTimeType":"","actualEps":0.21},{"date":"2025-10-27","symbol":"INFY","amount":0.261677,"announcedDate":null,"type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2025-10-27","defaultRemindTime":1761571800000,"name":"印孚瑟斯","lastCurrency":null,"lastExecuteDate":null,"recordDate":null,"payableDate":"2025-10-27","currency":"USD","dateTimestamp":1761537600000,"payDate":null},{"date":"2025-10-15","symbol":"INFY","type":"earning","reportTimeType":"","market":"US","fiscalQuarterEnding":null,"expectedEps":null,"defaultRemindTime":1760515200000,"name":null,"time":"","dateTimestamp":1760500800000,"actualEps":null},{"market":"US","date":"2025-07-23","symbol":"INFY","fiscalQuarterEnding":"2025/06","expectedEps":0.19,"name":null,"time":"盘前","type":"earning","dateTimestamp":1753243200000,"reportTimeType":"pre","actualEps":0.19},{"date":"2025-05-30","symbol":"INFY","amount":0.25788,"announcedDate":null,"type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2025-05-30","defaultRemindTime":1748611800000,"name":"印孚瑟斯","lastCurrency":null,"lastExecuteDate":null,"recordDate":null,"payableDate":"2025-05-30","currency":"USD","dateTimestamp":1748577600000,"payDate":null}],"@#url:\"https://hq.skytigris.cn/fundamental/dividend/history\",params:#symbol:\"INFY\",market:\"US\",,,undefined,":[{"executeDate":"2016-06-07","recordDate":"2016-06-09","paymentDate":"2016-06-22","value":0.191095,"currency":"USD"},{"executeDate":"2016-10-19","recordDate":"2016-10-21","paymentDate":"2016-10-28","value":0.144473,"currency":"USD"},{"executeDate":"2019-01-24","recordDate":"2019-01-25","paymentDate":null,"value":0.057029,"currency":"USD"},{"executeDate":"2019-06-13","recordDate":"2019-06-14","paymentDate":null,"value":0.140279,"currency":"USD"},{"executeDate":"2019-10-22","recordDate":"2019-10-23","paymentDate":null,"value":0.113052,"currency":"USD"}],"@#url:\"https://hq.skytigris.cn/fundamental/estimate/recommendation\",params:#symbol:\"INFY\",market:\"US\",delay:false,,,undefined,":{"strongBuy":0.1429,"buy":0.2143,"hold":0.5714,"sell":0.0714,"strongSell":0,"meanLabel":"HOLD","meanPercent":0.5714,"analysts":14,"updateTime":1768539600000},"@#url:\"https://hq.skytigris.cn/value_analysis/stock/INFY\",params:#withQuantilePoint:true,period:\"5year\",factor:\"peRate\",delay:false,algorithm:1,,,undefined,":{"brief":{"id":"INFY","date":"2026-02-20","current":18.896618,"percent":0,"low":18.752324,"twenty":22.750235,"median":26.151508,"eighty":31.091086,"high":38.152942,"avg":26.966154,"sd":4.418315,"marketCap":60119950254.89},"quantilePoints":[{"date":"2021-02-26","current":28.645948,"twenty":15.956512,"median":17.544021,"eighty":21.396407,"marketCap":71786745718.71},{"date":"2021-03-05","current":30.429498,"twenty":15.958188,"median":17.557502,"eighty":21.449169,"marketCap":76256321239.57},{"date":"2021-03-12","current":32.026369,"twenty":15.958713,"median":17.573531,"eighty":21.466071,"marketCap":80258081395.77},{"date":"2021-03-19","current":31.424931,"twenty":15.961464,"median":17.583686,"eighty":21.59136,"marketCap":78750876670.16},{"date":"2021-03-26","current":31.182221,"twenty":15.967733,"median":17.60093,"eighty":21.715628,"marketCap":78142646275.31},{"date":"2021-04-01","current":31.989098,"twenty":15.972192,"median":17.61213,"eighty":21.802965,"marketCap":80164679467.17},{"date":"2021-04-09","current":32.652271,"twenty":15.97737,"median":17.617455,"eighty":21.866783,"marketCap":81826592146.69},{"date":"2021-04-16","current":30.773157,"twenty":15.981001,"median":17.632797,"eighty":21.951872,"marketCap":77117530715.82},{"date":"2021-04-23","current":28.903911,"twenty":15.981688,"median":17.654667,"eighty":22.006502,"marketCap":75525918537.35},{"date":"2021-04-30","current":29.728796,"twenty":15.984158,"median":17.695045,"eighty":22.074787,"marketCap":77681343196.68},{"date":"2021-05-07","current":29.99677,"twenty":15.991442,"median":17.720002,"eighty":22.15987,"marketCap":78381560718.46},{"date":"2021-05-14","current":29.196905,"twenty":16.016036,"median":17.727352,"eighty":22.183142,"marketCap":76291512745.35},{"date":"2021-05-21","current":30.210191,"twenty":16.029706,"median":17.733289,"eighty":22.278648,"marketCap":78939228436.13},{"date":"2021-05-28","current":31.520312,"twenty":16.053596,"median":17.774003,"eighty":22.389793,"marketCap":82362576411.62},{"date":"2021-06-04","current":30.892776,"twenty":16.056531,"median":17.801646,"eighty":22.668378,"marketCap":80722824958.58},{"date":"2021-06-11","current":32.10401,"twenty":16.064953,"median":17.827907,"eighty":22.870019,"marketCap":83887777691.87},{"date":"2021-06-18","current":32.937534,"twenty":16.068678,"median":17.873957,"eighty":22.912643,"marketCap":86065775864.68},{"date":"2021-06-25","current":34.487924,"twenty":16.086358,"median":17.905589,"eighty":22.992104,"marketCap":90116946114.31},{"date":"2021-07-02","current":34.129457,"twenty":16.09018,"median":17.933763,"eighty":23.039926,"marketCap":89180272391.83},{"date":"2021-07-09","current":33.986846,"twenty":16.090494,"median":17.945401,"eighty":23.057203,"marketCap":88807629593.57},{"date":"2021-07-16","current":31.992551,"twenty":16.093554,"median":17.956124,"eighty":23.163286,"marketCap":88267448012.9},{"date":"2021-07-23","current":32.750113,"twenty":16.095309,"median":17.982241,"eighty":23.192483,"marketCap":90357561605.38},{"date":"2021-07-30","current":33.158385,"twenty":16.101,"median":18.002277,"eighty":23.322292,"marketCap":91483985429.09},{"date":"2021-08-06","current":34.000655,"twenty":16.104,"median":18.022525,"eighty":23.940584,"marketCap":93807807076.64},{"date":"2021-08-13","current":35.195243,"twenty":16.120424,"median":18.176199,"eighty":24.699712,"marketCap":97103675744.63},{"date":"2021-08-20","current":35.514497,"twenty":16.128789,"median":18.221271,"eighty":24.826805,"marketCap":97984498313.83},{"date":"2021-08-27","current":35.36576,"twenty":16.12997,"median":18.41497,"eighty":24.871719,"marketCap":97574132571.04},{"date":"2021-09-03","current":35.378721,"twenty":16.132528,"median":18.604281,"eighty":25.146981,"marketCap":97609891901.81},{"date":"2021-09-10","current":34.960614,"twenty":16.134481,"median":18.625743,"eighty":25.475876,"marketCap":96456334107.25},{"date":"2021-09-17","current":34.862475,"twenty":16.137406,"median":18.645701,"eighty":25.912785,"marketCap":96185569254.71},{"date":"2021-09-24","current":36.294343,"twenty":16.15051,"median":18.712248,"eighty":26.019775,"marketCap":100136092880.93},{"date":"2021-10-01","current":34.072948,"twenty":16.158498,"median":18.78107,"eighty":26.219741,"marketCap":94007263871.52},{"date":"2021-10-08","current":34.842358,"twenty":16.159501,"median":18.816496,"eighty":26.339256,"marketCap":96130065725.9},{"date":"2021-10-15","current":33.779383,"twenty":16.162342,"median":18.902137,"eighty":26.480318,"marketCap":95865889266.03},{"date":"2021-10-22","current":33.873887,"twenty":16.164524,"median":18.919798,"eighty":26.796752,"marketCap":96134092430.89},{"date":"2021-10-29","current":33.284716,"twenty":16.16527,"median":18.932866,"eighty":26.848287,"marketCap":94462023628.91},{"date":"2021-11-05","current":34.454241,"twenty":16.169247,"median":18.967735,"eighty":27.038507,"marketCap":97781136356.76},{"date":"2021-11-12","current":35.801069,"twenty":16.177908,"median":19.124963,"eighty":27.17253,"marketCap":101603433637.43},{"date":"2021-11-19","current":35.839454,"twenty":16.182739,"median":19.154137,"eighty":27.479319,"marketCap":101712370556.59},{"date":"2021-11-26","current":33.726392,"twenty":16.184458,"median":19.171118,"eighty":27.642561,"marketCap":95715500676.8},{"date":"2021-12-03","current":34.510122,"twenty":16.187091,"median":19.29681,"eighty":27.89463,"marketCap":97939725045.42},{"date":"2021-12-10","current":34.762779,"twenty":16.188924,"median":19.332018,"eighty":28.730867,"marketCap":98656766565.32},{"date":"2021-12-17","current":35.847733,"twenty":16.190995,"median":19.360318,"eighty":29.120997,"marketCap":101735865581.86},{"date":"2021-12-23","current":37.023734,"twenty":16.194305,"median":19.37443,"eighty":29.196115,"marketCap":105073356056.57},{"date":"2021-12-31","current":37.911529,"twenty":16.203024,"median":19.465817,"eighty":29.298672,"marketCap":107592920538.33},{"date":"2022-01-07","current":36.548674,"twenty":16.211975,"median":19.548093,"eighty":29.43636,"marketCap":103725136100.11},{"date":"2022-01-14","current":37.523529,"twenty":16.216116,"median":19.649361,"eighty":29.517971,"marketCap":109118423766.75},{"date":"2022-01-21","current":34.629101,"twenty":16.226136,"median":19.678894,"eighty":29.575847,"marketCap":100701426045.05},{"date":"2022-01-28","current":32.400293,"twenty":16.230884,"median":19.72076,"eighty":29.670272,"marketCap":94220053370.15},{"date":"2022-02-04","current":33.620368,"twenty":16.23214,"median":19.758954,"eighty":29.728796,"marketCap":97768030456.68},{"date":"2022-02-11","current":32.932741,"twenty":16.236582,"median":19.805553,"eighty":29.78524,"marketCap":95768412011.81},{"date":"2022-02-18","current":32.95611,"twenty":16.236582,"median":19.819418,"eighty":29.889901,"marketCap":95836366930.7},{"date":"2022-02-25","current":32.5209,"twenty":16.236582,"median":19.837291,"eighty":30.045012,"marketCap":94570776727.23},{"date":"2022-03-04","current":32.472821,"twenty":16.236582,"median":19.880977,"eighty":30.138888,"marketCap":94430963464.9},{"date":"2022-03-11","current":34.259301,"twenty":16.236582,"median":19.906137,"eighty":30.289078,"marketCap":99626046520.92},{"date":"2022-03-18","current":35.163665,"twenty":16.236582,"median":19.953018,"eighty":30.560748,"marketCap":102255937542.89},{"date":"2022-03-25","current":35.470447,"twenty":16.236582,"median":20.011271,"eighty":30.780658,"marketCap":103148060778.74},{"date":"2022-04-01","current":36.118323,"twenty":16.236582,"median":20.063907,"eighty":30.895286,"marketCap":105032082036.18},{"date":"2022-04-08","current":34.441674,"twenty":16.236582,"median":20.162228,"eighty":31.025055,"marketCap":100156388610.09},{"date":"2022-04-14","current":32.436059,"twenty":16.236582,"median":20.221926,"eighty":31.094641,"marketCap":96108043633.32},{"date":"2022-04-22","current":29.326439,"twenty":16.253368,"median":20.239628,"eighty":31.094641,"marketCap":86894238815.34},{"date":"2022-04-29","current":28.998598,"twenty":16.268238,"median":20.278037,"eighty":31.094641,"marketCap":85922846606.15},{"date":"2022-05-06","current":28.380135,"twenty":16.286177,"median":20.316493,"eighty":31.094641,"marketCap":84090338575.63},{"date":"2022-05-13","current":27.489257,"twenty":16.286177,"median":20.34496,"eighty":31.094641,"marketCap":81450667278.02},{"date":"2022-05-20","current":26.468877,"twenty":16.286177,"median":20.391088,"eighty":31.094641,"marketCap":78427282350.26},{"date":"2022-05-27","current":26.662796,"twenty":16.286177,"median":20.446675,"eighty":31.094641,"marketCap":79001864499.1},{"date":"2022-06-03","current":27.725837,"twenty":16.286177,"median":20.470306,"eighty":31.094641,"marketCap":82151653922.59},{"date":"2022-06-10","current":26.760988,"twenty":16.286177,"median":20.489584,"eighty":31.094641,"marketCap":79292806470.73},{"date":"2022-06-17","current":25.158421,"twenty":16.286177,"median":20.553089,"eighty":31.094641,"marketCap":74544401578.62},{"date":"2022-06-24","current":26.060517,"twenty":16.282456,"median":20.615318,"eighty":31.097949,"marketCap":77217310967.08},{"date":"2022-07-01","current":26.534598,"twenty":16.291926,"median":20.656354,"eighty":31.097949,"marketCap":78622012742.27},{"date":"2022-07-08","current":27.047683,"twenty":16.291926,"median":20.675087,"eighty":31.097949,"marketCap":80142283842.96},{"date":"2022-07-15","current":25.392781,"twenty":16.291926,"median":20.690369,"eighty":31.097949,"marketCap":75238810867.05},{"date":"2022-07-22","current":26.698983,"twenty":16.291926,"median":20.73176,"eighty":31.097949,"marketCap":79109086946.78},{"date":"2022-07-29","current":27.79261,"twenty":16.291926,"median":20.763154,"eighty":31.097949,"marketCap":81932613528.66},{"date":"2022-08-05","current":28.972889,"twenty":16.291926,"median":20.783813,"eighty":31.097949,"marketCap":85412078189.84},{"date":"2022-08-12","current":28.48652,"twenty":16.291926,"median":20.837075,"eighty":31.097949,"marketCap":83978260761.14},{"date":"2022-08-19","current":28.429371,"twenty":16.294993,"median":20.911514,"eighty":31.097949,"marketCap":83809786318.84},{"date":"2022-08-26","current":27.09623,"twenty":16.310812,"median":20.95167,"eighty":31.097949,"marketCap":79879684634.33},{"date":"2022-09-02","current":25.94392,"twenty":16.33394,"median":20.997232,"eighty":31.097949,"marketCap":76482676438.87},{"date":"2022-09-09","current":27.016525,"twenty":16.36995,"median":21.044472,"eighty":31.097949,"marketCap":79644714920.58},{"date":"2022-09-16","current":24.599495,"twenty":16.409304,"median":21.117737,"eighty":31.097949,"marketCap":72519310447.42},{"date":"2022-09-23","current":23.94952,"twenty":16.477464,"median":21.161703,"eighty":31.097949,"marketCap":70603184723.71},{"date":"2022-09-30","current":24.714923,"twenty":16.536429,"median":21.176024,"eighty":31.097949,"marketCap":72859594408.67},{"date":"2022-10-07","current":25.000855,"twenty":16.56437,"median":21.211958,"eighty":31.097949,"marketCap":73702519392.24},{"date":"2022-10-14","current":25.357142,"twenty":16.587962,"median":21.275448,"eighty":31.097949,"marketCap":75133212414.54},{"date":"2022-10-21","current":25.688551,"twenty":16.618026,"median":21.288828,"eighty":31.097949,"marketCap":76115177774.15},{"date":"2022-10-28","current":26.019187,"twenty":16.662799,"median":21.366305,"eighty":31.097949,"marketCap":77094851759.2},{"date":"2022-11-04","current":26.118776,"twenty":16.707883,"median":21.42571,"eighty":31.097949,"marketCap":77389933138.17},{"date":"2022-11-11","current":27.589367,"twenty":16.76327,"median":21.459449,"eighty":31.097949,"marketCap":81747293173.92},{"date":"2022-11-18","current":27.647926,"twenty":16.790885,"median":21.572078,"eighty":31.097949,"marketCap":81920804105.14},{"date":"2022-11-25","current":28.329758,"twenty":16.809538,"median":21.712038,"eighty":31.097949,"marketCap":83941072621.58},{"date":"2022-12-02","current":28.478642,"twenty":16.844024,"median":21.814668,"eighty":31.097949,"marketCap":84382217673.55},{"date":"2022-12-09","current":26.917053,"twenty":16.873719,"median":21.947156,"eighty":31.097949,"marketCap":79755227862.85},{"date":"2022-12-16","current":25.981169,"twenty":16.873719,"median":21.996964,"eighty":31.097949,"marketCap":76982203224.39},{"date":"2022-12-23","current":25.47416,"twenty":16.873719,"median":22.0786,"eighty":31.097949,"marketCap":75479934803.82},{"date":"2022-12-30","current":25.647316,"twenty":16.89528,"median":22.160898,"eighty":31.097949,"marketCap":75992996727.18},{"date":"2023-01-06","current":24.697667,"twenty":16.93669,"median":22.184565,"eighty":31.097949,"marketCap":73179188054.49},{"date":"2023-01-13","current":25.763699,"twenty":16.999915,"median":22.288388,"eighty":31.097949,"marketCap":77007696463.61},{"date":"2023-01-20","current":26.062244,"twenty":17.027198,"median":22.518268,"eighty":31.097949,"marketCap":77900046100.04},{"date":"2023-01-27","current":25.738417,"twenty":17.168992,"median":22.819608,"eighty":31.097949,"marketCap":76932127751.55},{"date":"2023-02-03","current":26.801198,"twenty":17.236897,"median":22.912643,"eighty":31.097949,"marketCap":80108780429.12},{"date":"2023-02-10","current":26.848411,"twenty":17.307893,"median":23.011444,"eighty":31.097949,"marketCap":80249899606.54},{"date":"2023-02-17","current":26.353541,"twenty":17.361707,"median":23.056796,"eighty":31.097949,"marketCap":78770733909.73},{"date":"2023-02-24","current":25.744927,"twenty":17.390676,"median":23.128913,"eighty":31.097949,"marketCap":76951586482.14},{"date":"2023-03-03","current":24.920117,"twenty":17.436248,"median":23.189402,"eighty":31.097949,"marketCap":74486228450.83},{"date":"2023-03-10","current":24.725895,"twenty":17.489707,"median":23.340064,"eighty":31.097949,"marketCap":73905700183.12},{"date":"2023-03-17","current":23.689987,"twenty":17.55649,"median":23.689987,"eighty":31.097949,"marketCap":70809372168.66},{"date":"2023-03-24","current":23.089127,"twenty":17.601419,"median":23.689987,"eighty":31.097949,"marketCap":69013401572.93},{"date":"2023-03-31","current":23.952231,"twenty":17.62468,"median":23.729439,"eighty":31.094641,"marketCap":71593216968.42},{"date":"2023-04-05","current":23.93418,"twenty":17.641727,"median":23.832321,"eighty":31.094641,"marketCap":71539264262.32},{"date":"2023-04-14","current":23.495507,"twenty":17.722425,"median":23.950876,"eighty":31.101258,"marketCap":70040106587.63},{"date":"2023-04-20","current":20.738487,"twenty":17.73396,"median":23.950876,"eighty":31.101258,"marketCap":61821428961.69},{"date":"2023-04-28","current":21.329842,"twenty":17.907458,"median":23.952231,"eighty":31.104566,"marketCap":63584260393.46},{"date":"2023-05-05","current":21.436056,"twenty":17.960727,"median":23.952231,"eighty":31.104566,"marketCap":63900881628.56},{"date":"2023-05-12","current":21.108719,"twenty":18.037061,"median":23.952231,"eighty":31.104566,"marketCap":62925091618.84},{"date":"2023-05-17","current":21.061867,"twenty":18.207575,"median":23.952231,"eighty":31.104566,"marketCap":62785424748.72},{"date":"2023-05-26","current":22.165455,"twenty":18.621778,"median":23.9769,"eighty":31.11289,"marketCap":66075222534.56},{"date":"2023-06-02","current":21.965199,"twenty":18.667355,"median":23.9769,"eighty":31.11289,"marketCap":65478258774.67},{"date":"2023-06-09","current":21.35903,"twenty":18.795343,"median":23.9769,"eighty":31.11289,"marketCap":63671267209.11},{"date":"2023-06-15","current":21.856959,"twenty":18.879387,"median":23.989583,"eighty":31.117905,"marketCap":65155595971.4},{"date":"2023-06-23","current":21.42492,"twenty":18.937919,"median":24.004846,"eighty":31.127936,"marketCap":63867686812.96},{"date":"2023-06-30","current":22.586026,"twenty":19.126406,"median":24.004846,"eighty":31.127936,"marketCap":67328943750.06},{"date":"2023-07-07","current":22.297808,"twenty":19.170787,"median":24.004846,"eighty":31.127936,"marketCap":66469765684.65},{"date":"2023-07-14","current":24.128596,"twenty":19.322554,"median":24.022568,"eighty":31.127936,"marketCap":71927343458.8},{"date":"2023-07-21","current":22.52619,"twenty":19.384044,"median":24.124257,"eighty":31.127936,"marketCap":67150571334.86},{"date":"2023-07-28","current":22.388136,"twenty":19.54993,"median":24.124257,"eighty":31.127936,"marketCap":67522618890.96},{"date":"2023-08-04","current":22.845509,"twenty":19.702716,"median":24.124257,"eighty":31.127936,"marketCap":68902055451.61},{"date":"2023-08-11","current":22.774621,"twenty":19.782481,"median":24.124257,"eighty":31.127936,"marketCap":68688255734.12},{"date":"2023-08-18","current":22.926207,"twenty":19.810496,"median":24.124257,"eighty":31.127936,"marketCap":69145440657.52},{"date":"2023-08-25","current":23.593706,"twenty":19.824358,"median":24.124257,"eighty":31.127936,"marketCap":71158617967.82},{"date":"2023-09-01","current":23.957023,"twenty":19.866873,"median":24.128596,"eighty":31.132952,"marketCap":72254381817.2},{"date":"2023-09-08","current":24.256633,"twenty":19.891624,"median":24.256633,"eighty":31.132952,"marketCap":73158006149.53},{"date":"2023-09-15","current":24.974269,"twenty":19.936334,"median":24.380546,"eighty":31.132952,"marketCap":75322396158.62},{"date":"2023-09-22","current":24.694628,"twenty":19.967682,"median":24.577982,"eighty":31.132952,"marketCap":74478997068.87},{"date":"2023-09-29","current":23.692091,"twenty":20.040068,"median":24.577982,"eighty":31.132952,"marketCap":71455347893.84},{"date":"2023-10-06","current":24.374592,"twenty":20.122393,"median":24.577982,"eighty":31.132952,"marketCap":73513769709.35},{"date":"2023-10-13","current":23.554503,"twenty":20.20827,"median":24.599495,"eighty":31.132952,"marketCap":71111044297.17},{"date":"2023-10-20","current":23.54096,"twenty":20.237395,"median":24.599495,"eighty":31.132952,"marketCap":71070158324.77},{"date":"2023-10-27","current":22.384967,"twenty":20.26029,"median":24.618865,"eighty":31.162513,"marketCap":67580215441.2},{"date":"2023-11-03","current":22.871198,"twenty":20.301746,"median":24.618865,"eighty":31.162513,"marketCap":69048148106.38},{"date":"2023-11-10","current":22.532185,"twenty":20.33229,"median":24.618865,"eighty":31.162513,"marketCap":68024665412.55},{"date":"2023-11-17","current":23.6719,"twenty":20.36522,"median":24.618865,"eighty":31.162513,"marketCap":71465467217.11},{"date":"2023-11-24","current":23.656668,"twenty":20.408855,"median":24.618865,"eighty":31.162513,"marketCap":71419481791.52},{"date":"2023-12-01","current":23.879016,"twenty":20.457039,"median":24.618865,"eighty":31.162513,"marketCap":72090749772.09},{"date":"2023-12-08","current":24.527503,"twenty":20.479588,"median":24.615246,"eighty":31.15266,"marketCap":74048532709.42},{"date":"2023-12-15","current":25.975276,"twenty":20.514193,"median":24.655163,"eighty":31.15266,"marketCap":78419357860.13},{"date":"2023-12-22","current":25.745242,"twenty":20.604512,"median":24.694628,"eighty":31.15266,"marketCap":77724885452.07},{"date":"2023-12-29","current":25.429598,"twenty":20.634356,"median":24.711989,"eighty":31.162513,"marketCap":76771956755.06},{"date":"2024-01-05","current":25.242261,"twenty":20.657983,"median":24.761553,"eighty":31.172367,"marketCap":76206387020.44},{"date":"2024-01-12","current":27.217778,"twenty":20.678658,"median":24.798136,"eighty":31.172367,"marketCap":80346881725.96},{"date":"2024-01-19","current":27.969212,"twenty":20.693906,"median":24.844704,"eighty":31.182221,"marketCap":82565113511.75},{"date":"2024-01-26","current":28.237516,"twenty":20.73042,"median":24.864024,"eighty":31.172367,"marketCap":83357146995.33},{"date":"2024-02-02","current":28.620854,"twenty":20.751944,"median":24.920117,"eighty":31.172367,"marketCap":84488759958.49},{"date":"2024-02-09","current":28.202018,"twenty":20.751944,"median":24.993511,"eighty":31.172367,"marketCap":83252356147.91},{"date":"2024-02-16","current":28.738941,"twenty":20.756362,"median":25.098923,"eighty":31.172367,"marketCap":84837354695.44},{"date":"2024-02-23","current":28.365879,"twenty":20.775183,"median":25.141796,"eighty":31.172367,"marketCap":83736075120.25},{"date":"2024-03-01","current":27.989666,"twenty":20.786916,"median":25.224537,"eighty":31.162513,"marketCap":82625495331.24},{"date":"2024-03-08","current":27.407295,"twenty":20.836311,"median":25.288568,"eighty":31.162513,"marketCap":80906335410.34},{"date":"2024-03-15","current":27.625957,"twenty":20.881991,"median":25.339796,"eighty":31.162513,"marketCap":81551824932.06},{"date":"2024-03-22","current":25.429396,"twenty":20.912719,"median":25.387842,"eighty":31.162513,"marketCap":75067578033.66},{"date":"2024-03-28","current":25.193713,"twenty":20.924553,"median":25.387842,"eighty":31.162513,"marketCap":74371842056.74},{"date":"2024-04-05","current":24.876928,"twenty":20.918033,"median":25.392781,"eighty":31.172367,"marketCap":73436691333.67},{"date":"2024-04-12","current":24.982862,"twenty":20.918033,"median":25.392781,"eighty":31.172367,"marketCap":73749408437.63},{"date":"2024-04-19","current":22.076054,"twenty":20.991992,"median":25.392781,"eighty":31.172367,"marketCap":69914861709.82},{"date":"2024-04-26","current":22.442584,"twenty":21.040668,"median":25.387842,"eighty":31.162513,"marketCap":71075665041.47},{"date":"2024-05-03","current":22.245633,"twenty":21.091142,"median":25.387842,"eighty":31.162513,"marketCap":70451920512.6},{"date":"2024-05-10","current":22.379774,"twenty":21.149894,"median":25.387842,"eighty":31.162513,"marketCap":70876743473.61},{"date":"2024-05-17","current":22.618048,"twenty":21.199182,"median":25.387842,"eighty":31.162513,"marketCap":71631358703.7},{"date":"2024-05-24","current":23.002094,"twenty":21.277778,"median":25.387842,"eighty":31.162513,"marketCap":72847632828.14},{"date":"2024-05-31","current":22.08199,"twenty":21.310278,"median":25.387842,"eighty":31.162513,"marketCap":69933662044.17},{"date":"2024-06-07","current":24.019949,"twenty":21.366737,"median":25.387842,"eighty":31.162513,"marketCap":76071178780.88},{"date":"2024-06-14","current":23.303364,"twenty":21.395408,"median":25.387842,"eighty":31.162513,"marketCap":73801754160.13},{"date":"2024-06-21","current":23.959843,"twenty":21.439215,"median":25.392781,"eighty":31.172367,"marketCap":75880823330.68},{"date":"2024-06-28","current":24.54933,"twenty":21.461894,"median":25.398885,"eighty":31.184793,"marketCap":77747726752.63},{"date":"2024-07-05","current":25.796132,"twenty":21.51535,"median":25.429396,"eighty":31.184793,"marketCap":81696351129.32},{"date":"2024-07-12","current":26.807065,"twenty":21.610941,"median":25.541695,"eighty":31.184793,"marketCap":84897974128.24},{"date":"2024-07-15","current":26.710107,"twenty":21.626064,"median":25.627153,"eighty":31.184793,"marketCap":84590909132.62},{"date":"2024-08-02","current":28.099289,"twenty":21.601552,"median":25.702668,"eighty":31.222803,"marketCap":90086319955.38},{"date":"2024-08-09","current":27.244822,"twenty":21.676728,"median":25.742057,"eighty":31.222803,"marketCap":87346900729.81},{"date":"2024-08-16","current":28.604085,"twenty":21.765957,"median":25.763196,"eighty":31.222803,"marketCap":91704696719.13},{"date":"2024-08-23","current":28.653374,"twenty":21.842813,"median":25.798979,"eighty":31.222803,"marketCap":91862716682.28},{"date":"2024-08-30","current":29.937534,"twenty":21.873542,"median":25.84402,"eighty":31.222803,"marketCap":95979732874.95},{"date":"2024-09-06","current":29.254545,"twenty":21.951377,"median":25.88056,"eighty":31.222803,"marketCap":93790072810.46},{"date":"2024-09-13","current":29.921898,"twenty":21.962751,"median":25.94645,"eighty":31.222803,"marketCap":95929605980.43},{"date":"2024-09-20","current":29.438597,"twenty":21.962751,"median":25.967761,"eighty":31.222803,"marketCap":94380141499.83},{"date":"2024-09-27","current":29.457249,"twenty":22.080803,"median":25.983476,"eighty":31.222803,"marketCap":94439941101.05},{"date":"2024-10-04","current":29.495247,"twenty":22.155535,"median":26.025567,"eighty":31.222803,"marketCap":94561761622.19},{"date":"2024-10-11","current":29.774668,"twenty":22.246777,"median":26.064137,"eighty":31.222803,"marketCap":95457586893.95},{"date":"2024-10-18","current":28.65505,"twenty":22.29035,"median":26.127394,"eighty":31.222803,"marketCap":92613122899.82},{"date":"2024-10-25","current":28.381688,"twenty":22.331092,"median":26.169501,"eighty":31.222803,"marketCap":91729616412.72},{"date":"2024-10-31","current":26.781968,"twenty":22.383928,"median":26.186904,"eighty":31.222803,"marketCap":86559321978.07},{"date":"2024-11-08","current":27.816801,"twenty":22.420836,"median":26.210328,"eighty":31.230648,"marketCap":89903901668.99},{"date":"2024-11-15","current":28.295059,"twenty":22.49226,"median":26.255226,"eighty":31.230648,"marketCap":91449631199.36},{"date":"2024-11-22","current":28.844658,"twenty":22.530294,"median":26.290294,"eighty":31.230648,"marketCap":93225934647.12},{"date":"2024-11-29","current":28.190147,"twenty":22.573374,"median":26.301017,"eighty":31.230648,"marketCap":91110554549.21},{"date":"2024-12-06","current":29.080933,"twenty":22.61153,"median":26.324337,"eighty":31.230648,"marketCap":93989574440.12},{"date":"2024-12-13","current":30.197207,"twenty":22.627654,"median":26.353541,"eighty":31.230648,"marketCap":97597372766.52},{"date":"2024-12-20","current":28.942581,"twenty":22.670417,"median":26.380414,"eighty":31.230648,"marketCap":93542421450.92},{"date":"2024-12-27","current":28.810158,"twenty":22.71936,"median":26.446812,"eighty":31.230648,"marketCap":93114429902.47},{"date":"2025-01-03","current":28.963816,"twenty":22.759259,"median":26.516766,"eighty":31.230648,"marketCap":93611053197.46},{"date":"2025-01-10","current":29.349103,"twenty":22.855313,"median":26.595138,"eighty":31.238493,"marketCap":94856300537.13},{"date":"2025-01-17","current":26.282983,"twenty":22.898886,"median":26.658616,"eighty":31.238493,"marketCap":86838975333.78},{"date":"2025-01-24","current":27.200345,"twenty":22.933736,"median":26.692664,"eighty":31.238493,"marketCap":89869941100.79},{"date":"2025-01-31","current":27.223437,"twenty":22.996888,"median":26.717504,"eighty":31.238493,"marketCap":89946236349.87},{"date":"2025-02-07","current":27.249799,"twenty":23.034931,"median":26.791583,"eighty":31.238493,"marketCap":90033336037.49},{"date":"2025-02-14","current":26.839537,"twenty":23.057636,"median":26.811557,"eighty":31.238493,"marketCap":88677831412.41},{"date":"2025-02-21","current":26.292471,"twenty":23.073211,"median":26.811557,"eighty":31.238493,"marketCap":86870325020.71},{"date":"2025-02-28","current":24.228157,"twenty":23.106051,"median":26.811557,"eighty":31.238493,"marketCap":80049829490.58},{"date":"2025-03-07","current":24.288963,"twenty":23.160447,"median":26.813589,"eighty":31.246338,"marketCap":80250733284.31},{"date":"2025-03-14","current":22.781621,"twenty":23.169202,"median":26.813589,"eighty":31.246338,"marketCap":75270476548.01},{"date":"2025-03-21","current":23.126179,"twenty":23.181231,"median":26.813589,"eighty":31.246338,"marketCap":76408894085.92},{"date":"2025-03-28","current":22.991041,"twenty":23.198562,"median":26.813589,"eighty":31.246338,"marketCap":75962398898.93},{"date":"2025-04-04","current":21.346949,"twenty":23.198562,"median":26.813589,"eighty":31.246338,"marketCap":70530319147.06},{"date":"2025-04-11","current":20.500252,"twenty":23.192441,"median":26.811557,"eighty":31.238493,"marketCap":67732832378.06},{"date":"2025-04-17","current":20.840296,"twenty":23.192441,"median":26.811557,"eighty":31.238493,"marketCap":68856337384.1},{"date":"2025-04-25","current":22.761357,"twenty":23.198562,"median":26.813589,"eighty":31.246338,"marketCap":71880363846.36},{"date":"2025-05-02","current":23.357587,"twenty":23.21317,"median":26.813589,"eighty":31.246338,"marketCap":73763259398.11},{"date":"2025-05-09","current":23.104897,"twenty":23.253133,"median":26.813589,"eighty":31.246338,"marketCap":72965265728.42},{"date":"2025-05-16","current":24.396995,"twenty":23.276358,"median":26.813589,"eighty":31.246338,"marketCap":77045710822.06},{"date":"2025-05-23","current":23.883759,"twenty":23.320646,"median":26.813589,"eighty":31.246338,"marketCap":75424910643.35},{"date":"2025-05-30","current":24.011607,"twenty":23.3624,"median":26.813589,"eighty":31.246338,"marketCap":75828654990.72},{"date":"2025-06-06","current":23.912854,"twenty":23.408956,"median":26.813589,"eighty":31.246338,"marketCap":75516791553.43},{"date":"2025-06-13","current":24.551147,"twenty":23.473035,"median":26.813589,"eighty":31.246338,"marketCap":77532523269.67},{"date":"2025-06-20","current":24.522497,"twenty":23.500991,"median":26.8158,"eighty":31.254183,"marketCap":77442044168.01},{"date":"2025-06-27","current":24.62076,"twenty":23.554503,"median":26.8158,"eighty":31.254183,"marketCap":77752361374.42},{"date":"2025-07-03","current":24.868673,"twenty":23.619707,"median":26.8158,"eighty":31.254183,"marketCap":78535268912.55},{"date":"2025-07-11","current":24.411153,"twenty":23.640208,"median":26.8158,"eighty":31.254183,"marketCap":77090420697.52},{"date":"2025-07-18","current":24.195028,"twenty":23.656668,"median":26.8158,"eighty":31.254183,"marketCap":76407899425.65},{"date":"2025-07-25","current":22.692768,"twenty":23.678876,"median":26.8158,"eighty":31.254183,"marketCap":72707627189.36},{"date":"2025-08-01","current":21.725283,"twenty":23.678876,"median":26.8158,"eighty":31.254183,"marketCap":69607806089.24},{"date":"2025-08-08","current":21.053384,"twenty":23.678876,"median":26.8158,"eighty":31.254183,"marketCap":67455042504.56},{"date":"2025-08-15","current":21.417833,"twenty":23.678876,"median":26.8158,"eighty":31.254183,"marketCap":68622735868.57},{"date":"2025-08-22","current":22.094961,"twenty":23.678876,"median":26.8158,"eighty":31.254183,"marketCap":70792254423.2},{"date":"2025-08-29","current":21.706894,"twenty":23.678876,"median":26.8158,"eighty":31.254183,"marketCap":69548889334.6},{"date":"2025-09-05","current":21.183958,"twenty":23.686385,"median":26.81801,"eighty":31.257519,"marketCap":67873400781.42},{"date":"2025-09-12","current":22.353485,"twenty":23.678876,"median":26.8158,"eighty":31.254183,"marketCap":71620566505.2},{"date":"2025-09-19","current":22.601682,"twenty":23.65146,"median":26.8158,"eighty":31.254183,"marketCap":72415789168.54},{"date":"2025-09-26","current":21.122369,"twenty":23.630201,"median":26.8158,"eighty":31.254183,"marketCap":67676070385.27},{"date":"2025-10-03","current":21.087128,"twenty":23.593706,"median":26.8158,"eighty":31.254183,"marketCap":67563159345.84},{"date":"2025-10-10","current":22.058905,"twenty":23.523238,"median":26.808295,"eighty":31.254183,"marketCap":70676730940.41},{"date":"2025-10-17","current":20.813185,"twenty":23.493682,"median":26.781526,"eighty":31.254183,"marketCap":67955050418.28},{"date":"2025-10-24","current":22.061763,"twenty":23.408458,"median":26.724522,"eighty":31.254183,"marketCap":72031657009.99},{"date":"2025-10-31","current":21.229967,"twenty":23.357587,"median":26.724522,"eighty":31.254183,"marketCap":69315842093.3},{"date":"2025-11-07","current":21.149858,"twenty":23.301762,"median":26.724522,"eighty":31.254183,"marketCap":69054286803.24},{"date":"2025-11-14","current":21.493872,"twenty":23.253727,"median":26.717504,"eighty":31.254183,"marketCap":70177492394.26},{"date":"2025-11-21","current":22.127352,"twenty":23.205627,"median":26.717504,"eighty":31.254183,"marketCap":72245804416.64},{"date":"2025-11-28","current":22.171617,"twenty":23.162478,"median":26.704545,"eighty":31.254183,"marketCap":72390328354.97},{"date":"2025-12-05","current":22.845333,"twenty":23.116704,"median":26.658616,"eighty":31.254183,"marketCap":74590011013.67},{"date":"2025-12-12","current":22.497003,"twenty":23.089127,"median":26.566891,"eighty":31.254183,"marketCap":73452715319.49},{"date":"2025-12-19","current":23.075158,"twenty":23.060927,"median":26.481935,"eighty":31.254183,"marketCap":75340392056.73},{"date":"2025-12-26","current":22.847683,"twenty":23.057571,"median":26.442251,"eighty":31.254183,"marketCap":74597685593.2},{"date":"2026-01-02","current":22.590463,"twenty":23.002094,"median":26.372948,"eighty":31.254183,"marketCap":73757862562.25},{"date":"2026-01-09","current":22.241923,"twenty":22.92926,"median":26.331986,"eighty":31.214958,"marketCap":72619879294.58},{"date":"2026-01-16","current":23.600939,"twenty":22.883526,"median":26.29999,"eighty":31.107874,"marketCap":75664610423.72},{"date":"2026-01-23","current":23.019344,"twenty":22.871198,"median":26.291269,"eighty":31.091086,"marketCap":73800015612.41},{"date":"2026-01-30","current":22.532195,"twenty":22.845333,"median":26.251214,"eighty":31.091086,"marketCap":72238216077.93},{"date":"2026-02-06","current":21.078757,"twenty":22.792075,"median":26.20865,"eighty":31.091086,"marketCap":67578496210.98},{"date":"2026-02-13","current":19.069453,"twenty":22.761357,"median":26.186904,"eighty":31.091086,"marketCap":61136665686.45},{"date":"2026-02-20","current":18.752324,"twenty":22.750235,"median":26.151508,"eighty":31.091086,"marketCap":60119950254.89}],"updateTime":1771812287573},"$inf$@#url:\"https://stock-news.skytigris.cn/v2/news/list\",params:#symbols:\"INFY\",pageSize:20,pageCount:1,lang_content:\"cn\",edition:\"fundamental\",,,undefined,":[{"items":[{"id":"2612471303","title":"BUZZ-敌强我弱\"：TD Cowen 支持印度人工智能收入前景；Infosys 领涨 IT 股","url":"https://stock-news.laohu8.com/highlight/detail?id=2612471303","media":"路透中文","labels":["dataReport"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2612471303?lang=zh_cn&edition=fundamental","pubTime":"2026-02-19 12:41","pubTimestamp":1771476108,"startTime":"0","endTime":"0","summary":"由于自动化翻译可能有误，或未能包含所需语境，路透不保证自动化翻译文本的准确性，仅是为了便利读者而提供自动化翻译。对于因为使用自动化翻译功能而造成的任何损害或损失，路透不承担任何责任。","market":"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:20260219:nL4S3ZF099:1","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":["LU1084165304.USD","GB00B4QBRK32.GBP","LU2471134952.CNY","LU2271345857.HKD","LU1974910355.USD","LU2471134523.USD","IE00B3S45H60.SGD","LU1181866309.USD","LU1316542783.SGD","LU0256863811.USD","BK4535","LU0444971666.USD","LU1366192091.USD","LU2210150020.SGD","SG9999015945.SGD","SGXZ99366536.SGD","LU0072461881.USD","LU0642271901.SGD","LU0211327993.USD","LU2430703095.HKD","LU0310800379.SGD","IE0009G5SDU7.USD","LU0788109477.HKD","LU2433249047.HKD","LU0726765562.USD","LU2756315664.SGD","LU0345770993.USD","LU0347712357.USD","IE00BBT3K403.USD","LU0354030511.USD","LU1951198990.SGD","IE00B4JS1V06.HKD","IE00B7KXQ091.USD","IE00B1XK9C88.USD","LU1670710661.SGD","LU0823421333.USD","IE000YTNTUN2.SGD","IE00BN8TJ469.HKD","GB00B4LPDJ14.GBP","LU2592432038.USD","IE0009356076.USD","LU0061474960.USD","LU1548497426.USD","LU0308772762.SGD","LU1989764664.SGD","LU2452424414.USD","LU2087625088.SGD","LU1221951046.USD","LU0289941410.SGD","LU2506952170.USD","LU1868837136.USD","LU2357305700.SGD","LU1366333091.USD","IE0004445015.USD","LU0345774391.USD","LU0061475181.USD","LU2089284900.SGD","LU0690374615.EUR","LU0316494557.USD","LU0426412945.USD","BK4577","LU0154236417.USD","LU0210533765.USD","LU2764263203.CNY","IE0001KFT4U8.USD","IE00BKDWB100.SGD","LU2505996681.GBP","LU0965509101.SGD","LU1267930813.SGD","LU1670711040.USD","LU2286300806.USD","LU0267386448.USD","LU2491050071.SGD","LU1934455277.USD","IE00BDCRKT87.USD","SGXZ31699556.SGD","LU0345774631.USD","LU2461242641.AUD","IE00BZ1G4Q59.USD","LU2097344357.USD","LU2054465674.USD","IE00B5949003.HKD","LU2543165471.USD","IE000KEQY171.SGD","LU1935042991.SGD","LU0096362180.USD","LU1720051108.HKD","SG9999015341.SGD","LU0265550946.USD","LU0162691827.USD","LU1046421795.USD","LU2552382215.SGD","LU1564329032.USD","LU0708994859.HKD","LU2065170008.USD","LU2247934214.USD","LU2092937221.SGD","LU0545562505.USD","LU0203202063.USD","LU2456880835.USD","LU2237443465.HKD","LU0683600562.USD","SG9999014880.SGD","LU2462157665.USD","LU2764263039.SGD","LU1718418525.SGD","LU0276348264.USD","LU2487616109.SGD","LU2361044865.SGD","IE0004086264.USD","LU1043141123.HKD","LU0426417589.USD","LU0823417737.USD","BK4525","IE00BN29S564.USD","LU2552382132.HKD","LU0882574139.USD","LU1069344957.HKD","IE00BK4W5L77.USD","LU0056508442.USD","LU1153585028.USD","LU2458330243.SGD","LU0289961442.SGD","LU1989772923.USD","LU2242650005.HKD","LU1804176565.USD","LU1435385759.SGD","LU1236620834.HKD","IE00BQXX3C00.GBP","BK4528","LU1236620750.USD","LU0511384066.AUD","LU1674673428.USD","LU2242649171.HKD","LU0957808578.USD","LU0128525929.USD","LU0171293334.USD","LU0323591593.USD","LU1032466523.USD","LU1691799644.USD","LU0225283273.USD","LU0689472784.USD","LU1059921491.USD","LU0960925559.SGD","IE00B775SV38.USD","IE00BJJMRY28.SGD","LU1267930730.SGD","LU1564329628.SGD","LU1803068623.USD","IE00BMPRXQ63.HKD","LU1585245621.USD","LU0472753341.HKD","LU0889566641.SGD","LU1674673691.USD","LU0061474705.USD","LU1261432733.SGD","IE0034235303.USD","IE00BSNM7G36.USD","LU1267930573.SGD","LU0158827781.USD","LU0784385840.USD","LU2360106780.USD","IE0004091025.USD","BK4550","LU0029864427.USD","LU2023250504.SGD","LU0077335932.USD","LU1633808545.USD","LU1066051225.USD","IE00BFSS7M15.SGD","IE00B1BXHZ80.USD","LU1582987324.SGD","SG9999004303.SGD","LU2756315318.SGD","HK0000914686.HKD","LU1116320901.HKD","LU2403377893.USD","IE00BJJMRX11.SGD","LU1670710588.SGD","LU1267930490.SGD","LU2506951958.HKD","LU2491049909.HKD","LU2237443978.SGD","LU1429558221.USD","LU0081259029.USD","LU0170899867.USD","LU2125909593.SGD","BK4598","LU2746668974.SGD","LU2023250843.SGD","LU2125909247.SGD","LU1670711123.USD","LU0964807845.USD","BK4527","IE00BLSP4239.USD","LU0053666078.USD","MSFL","BK4534","LU0795875169.SGD","SG9999015358.SGD","LU1066053197.SGD","LU2023250330.USD","LU2092937148.SGD","LU2087621335.USD","LU1923622614.USD","BK4566","IE00BKPKM429.USD","LU0175139822.USD","BK4097","LU0323239441.USD","LU1623119135.USD","BK4504","LU1935042488.USD","LU0149725797.USD","LU1712237335.SGD","LU0894485498.HKD","LU0738911758.USD","LU2471134879.HKD","LU0861579265.USD","LU0096364046.USD","LU1301847155.USD","SG9999014906.USD","SGXZ51526630.SGD","BK4587","LU1917777945.USD","LU0215105999.USD","INFY","LU2236285917.USD","LU1868836591.USD","LU2237443895.HKD","LU1914381329.SGD","LU0127658192.USD","HK0000914660.USD","LU0957791311.USD","LU0348723411.USD","MSFD","BK4581","LU0889565833.HKD","SG9999001077.SGD","LU0097036916.USD","LU2111349929.HKD","LU2463028550.USD","LU1988902786.USD","LU0672654240.SGD","LU0757359954.USD","LU0109391861.USD","LU1670627923.USD","LU2125154935.USD","LU2471134796.USD","LU2381873111.SGD","LU2133065610.SGD","LU0187121727.USD","LU2237443382.USD","LU0757359368.USD","LU2860962120.EUR","LU1003077747.HKD","IE00BYQQ9H92.USD","LU1228905540.USD","SG9999015952.SGD","LU0345769631.USD","SG9999014567.USD","IE0034235295.USD","LU2720916845.USD","IE00BMPRXN33.USD","LU2602419157.SGD","LU0787776722.HKD","LU0080751232.USD","LU1496350171.SGD","BK4516","IE00BKVL7J92.USD","LU0965509010.AUD","LU2506952097.USD","LU1732800096.USD","GB00BDT5M118.USD","LU0302445910.USD","LU2210149790.SGD","LU1235294995.USD","IE0005OL40V9.USD","LU1323610961.USD","LU1823568750.SGD","LU1066051811.HKD","LU2237438978.USD","LU1934455194.USD","LU1037948897.HKD","LU1923623000.USD","LU2028103732.USD","LU0912757837.SGD","BK4612","LU0234572021.USD","LU1951200564.SGD","LU0345768740.USD","LU0994945656.USD","IE00BFXG0V08.USD","LU1035775433.USD","IE0034235188.USD","LU2298321311.HKD","IE00B3SWFQ91.USD","IE00BLSP4452.SGD","LU2430703251.USD","LU1803068979.SGD","LU0314106906.USD","LU1232071149.USD","LU0708995401.HKD","LU2211815571.USD","LU2237443549.SGD","LU0107464264.USD","LU0210528500.USD","BK4532","LU0079474960.USD","LU0494093205.USD","LU1280957306.USD","LU2491050154.USD","LU0528227936.USD","IE00BQXX3D17.EUR","LU0069063385.USD","LU0950375773.USD","LU1791710582.SGD","LU1145028129.USD","LU1582986433.USD","LU0198837287.USD","LU1815333072.USD","LU1064131342.USD","SG9999014898.SGD","SG9999014542.SGD","LU2095319765.USD","LU2362541273.HKD","BK4576","LU0323240290.USD","LU0345769128.USD","LU2097829019.USD","IE00BYXW3230.USD","LU0353189680.USD","LU2275660780.HKD","LU1582987597.SGD","LU1551013342.USD","LU2430703178.SGD","LU1989764748.USD","BK4579","SG9999018865.SGD","LU0072462426.USD","LU1868836757.USD","LU2750360641.GBP","LU0048584097.USD","LU1852331112.SGD","LU0210536198.USD","LU2413666426.HKD","LU0095938881.EUR","LU2041044095.USD","LU0545039389.USD","LU1334329650.SGD","LU1720051017.SGD","LU0354030438.USD","LU2750360997.AUD","LU1196500208.SGD","SG9999014575.USD","LU1989772840.SGD","LU1127390331.HKD","LU2106854487.HKD","LU0640476718.USD","LU0943347566.SGD","LU0256863902.USD","BK4533","LU1121112475.USD","LU1791710400.SGD","LU2506951875.HKD","LU2213496289.HKD","LU1815336760.USD","LU0784384876.USD","LU0390134368.USD","IE00BJTD4V19.USD","LU0985320562.USD","SG9999002232.USD","IE00BJTD4N35.SGD","LU1564329461.SGD","LU1935043536.SGD","LU0417517546.SGD","LU2896262040.SGD","LU0795875086.SGD","LU0820562030.AUD","LU1188199696.SGD","LU1868837300.USD","LU2362541513.USD","SG9999000418.SGD","LU2063271972.USD","LU1935043023.USD","LU2362540622.SGD","LU2746668461.USD","LU2552382058.USD","LU0823434740.USD","LU1035773651.USD","LU0006306889.USD","LU0314104364.USD","LU2347655156.SGD","LU1571399168.USD","LU2089283258.USD","LU2361045086.USD","LU2237957811.SGD","LU1564329115.USD","LU0456855351.SGD","LU0661504455.SGD","LU0689626769.HKD","LU2244417387.USD","LU2237957902.USD","LU0320765059.SGD","LU2505996509.AUD","LU2108987350.USD","LU1228905037.USD","LU2168564495.EUR","LU0157215616.USD","LU1642822529.SGD","BK4554","BK4592","LU2347655073.USD","LU1430594728.SGD","LU1506573853.SGD","LU0289960550.SGD","LU2168564065.EUR","SG9999014914.USD","LU1868836914.USD","SG9999017495.SGD","LU0724617625.USD","LU0312595415.SGD","LU0965509283.SGD","LU0011850046.USD","LU1935042215.USD","SG9999014559.SGD","IE00BWXC8680.SGD","LU0476273544.USD","LU1983260115.SGD","LU0353189763.USD","LU0719512351.SGD","IE00B19Z8X17.USD","LU2413666699.HKD","IE00BHPRN162.USD","SG9999015986.USD","LU0082616367.USD","IE00BJLML261.HKD","BK4543","LU2250418816.HKD","LU0345770308.USD","LU0444973449.USD","LU0823421416.USD","LU0792757196.USD","LU0265550359.USD","LU2264538146.SGD","LU2265009873.SGD","LU0124676726.USD","LU0949170772.SGD","LU1069347547.HKD","LU1839511570.USD","MSFW","LU2361044949.HKD","LU0868494617.USD","LU1116320737.USD","LU0345768153.USD","LU2168564222.USD","LU1119994496.HKD","SG9999001424.SGD","LU1778281490.HKD","LU0238689110.USD","LU1989773731.SGD","LU2148611432.USD","IE0004445239.USD","LU0234570918.USD","LU2125154778.USD","BK4503","LU2404859741.USD","LU2417539215.USD","LU2420271590.USD","LU0871640123.AUD","LU1221951129.SGD","MSFY","LU0823417653.USD","IE000W1ABFV2.USD","LU2404859667.USD","LU2065171311.SGD","LU0690374961.EUR","LU0820561909.HKD","LU1732799900.SGD","LU0965508806.USD","LU0106261372.USD","LU0289739343.SGD","LU0879622024.SGD","MSFU","LU0894486033.HKD","IE00BMPRXR70.SGD","MSFO","LU0557290698.USD","SG9999002224.SGD","SGXZ81514606.USD","LU2279689827.SGD","LU0820561818.USD","LU0342679015.USD","LU1496350502.SGD","IE0003U64NQ7.SGD","IE00B5TLWC47.USD","LU2065171402.SGD","LU1235295455.SGD","LU2077746001.SGD","LU0251132253.USD","LU1244550577.SGD","LU0310799852.SGD","LU1629891620.HKD","IE00BK4W5M84.HKD","LU0784383803.USD","LU1032955483.USD","LU1989763005.USD","LU0949170426.SGD","LU1697837992.HKD","LU1934455863.HKD","LU1721428933.USD","LU2764262908.HKD","LU0266013472.USD","LU2092627202.USD","LU1244550221.USD","LU0784385170.HKD","LU0823434583.USD","LU2097344431.USD","SG9999018857.SGD","BK4548","LU0057025933.USD","LU1340139317.AUD","IE00B19Z9505.USD","LU1861127337.USD","MSFX","IE000ITXATA3.USD","LU2065169927.USD","SG9999015978.USD","IE00BQXX3F31.USD","IE00B4YYXB79.USD","LU2458330169.SGD","LU1066051498.USD","LU2326559502.SGD","LU2360108059.USD","LU1670628061.USD","LU1074936037.SGD","LU2083900584.USD","IE00B775H168.HKD","LU1037948541.HKD","LU2237443622.USD","BK4588","LU1814569148.SGD","IE00B19Z8W00.USD","IE00BFSS8Q28.SGD","LU0158827948.USD","LU0203201768.USD","LU1244550494.USD","LU2360032135.SGD","LU2168563687.JPY","LU0109392836.USD","LU0094547139.USD","LU2191332357.HKD","LU2023251221.USD","IE00BDRTCR15.USD","LU0211328371.USD","LU0553294199.USD","LU2168564149.EUR","BK4567","LU0466842654.USD","BK4585","BK4538","LU1043141396.HKD","LU1551013425.SGD","LU1582986359.USD","LU0070217475.USD","SGXZ23171101.USD"],"gpt_icon":0},{"id":"1197834610","title":"周二值得关注的股票：挪威邮轮、凯悦酒店、以星航运、美敦力","url":"https://stock-news.laohu8.com/highlight/detail?id=1197834610","media":"投资观察","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1197834610?lang=zh_cn&edition=fundamental","pubTime":"2026-02-17 17:58","pubTimestamp":1771322284,"startTime":"0","endTime":"0","summary":"维权基金Elliott Investment Management已收购挪威邮轮逾10%股份，计划推动这家邮轮运营商进行改革以实现业务扭转。该股盘前大涨6.5%。其美国存托凭证在盘前交易中上涨约3.5%。以星航运的美国存托凭证在开盘前飙升超过三分之一。联合健康表示赫姆斯利遵守了利益冲突政策。据阿里巴巴称，Qwen 3.5在图像和视频处理能力上优于前代产品，并支持超过200种语言。全球最大的工业地产所有者安博宣布提高股息后，其股价在盘后交易中上涨。","market":"hk","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU0162691827.USD","LU1057294990.SGD","LU1989771016.USD","LU1718418525.SGD","LU0456842615.SGD","BK4134","LU2089984988.USD","LU1720051108.HKD","LU1064131342.USD","SG9999014914.USD","LU1791710582.SGD","BK4533","BK4581","LU1769817179.HKD","LU0048584097.USD","SGXZ99366536.SGD","LU2089284900.SGD","LU1061106388.HKD","LU0320765489.SGD","LU2125154935.USD","LU0821914370.USD","IE00BJJMRX11.SGD","ALBmain","IE00BN29S564.USD","LU0965508806.USD","LU1732800096.USD","LU0231203729.USD","LU1814569148.SGD","BABO","SG9999018857.SGD","IE00B2B36J28.USD","LU0058720904.USD","SG9999002224.SGD","LU0047713382.USD","BK4077","LU1069347547.HKD","LU0314106906.USD","IE00B19Z9Z06.USD","LU0109391861.USD","LU1291159041.SGD","LU1934455277.USD","IE00BJJMRZ35.SGD","LU0348816934.USD","IE00BYTNYM70.SGD","LU1548497426.USD","LU2242649171.HKD","LU0432979614.USD","IE00BF5LJ272.USD","INFY","BK4517","SG9999001176.SGD","LU0011850046.USD","LU0067412154.USD","TRIP","LU0820561818.USD","LU1989764748.USD","LU1066053197.SGD","BK4566","LU1048588211.SGD","BK4504","LU0310799852.SGD","LU2087589342.USD","LU2491050071.SGD","LU1116320737.USD","IE00BDGV0183.EUR","IE00BSNM7G36.USD","LU0211326755.USD","IE00BJT1NW94.SGD","LU1048596156.SGD","LU0795875086.SGD","LU1105468828.SGD","IE00BWXC8680.SGD","LU0791591158.USD","LU0310800965.SGD","LU0898667661.SGD","BK4021","IE00B0JY6N72.USD","LU0880133367.SGD","LU1983299246.USD","LU1267930730.SGD","LU0354030438.USD","LU0651946864.USD","LU1267930490.SGD","LU0106959298.USD","LU1674673428.USD","BBYY","LU2491050154.USD","LU0094547139.USD","LU2347655156.SGD","IE00BZ9MQY76.HKD","LU1116320901.HKD","BK4142","LU1066051498.USD","LU0114720955.EUR","LU0211327993.USD","LU0861579265.USD","LU0689472784.USD","LU1323610961.USD","BK4502","SG9999002232.USD","LU0256863811.USD","IE00B42XCP33.USD","IE00BGHQF631.EUR","IE00B775H168.HKD","LU0708995666.HKD","LU1934455194.USD","LU2236285917.USD","LU0128525929.USD","LU1037948541.HKD","BK4523","BK4585","LU0661504455.SGD","IE00B1XK9C88.USD","SG9999017495.SGD","LU1880383366.USD","LU0072462343.USD","LU2360032135.SGD","LU0345770308.USD","LU2461242641.AUD","IE00B7KXQ091.USD","H","LU0868486357.SGD","IE0002141913.USD","IE00B3M56506.USD","IE0004445015.USD","LU0501845795.SGD","LU1551013425.SGD","ZIM","SGXZ31699556.SGD","IE00B3T34201.USD","IE00B7SZLL34.SGD","LU0354030511.USD","BK4154","LU0882574055.USD","LU1720051017.SGD","BK4575","BK4535","LU0072913022.USD","BK4538","LU0496365809.HKD","BK4524","LU0208291251.USD","LU0965509283.SGD","IE00BVYPNV92.GBP","PLD","SG9999014898.SGD","LU2361044865.SGD","LU0708994859.HKD","IE00BFTCPJ56.SGD","LU1244550494.USD","LU1496350502.SGD","LU2362540622.SGD","IE00B4R5TH58.HKD","LU0289739699.SGD","LU1366334651.USD","LU2361045086.USD","LU2087625088.SGD","BK4579","LU1084165304.USD","LU1914381329.SGD","SGXZ57979304.SGD","LU0345770993.USD","LU0251132253.USD","LU0328353924.USD","LU2552382215.SGD","LU1674673691.USD","LU2324357040.USD","BK4558","LU0197229882.USD","BK4220","BABA","LU0072461881.USD","LU0251143458.SGD","LU0531971678.HKD","BK4531","BK4614","LU0528227936.USD","LU0918141887.USD","IE00BZ1G4Q59.USD","BK4532","LU0342679015.USD","LU0651947912.USD","LU0823416689.USD","IE00B19Z8X17.USD","LU0333810181.USD","LU1670627923.USD","LU0079474960.USD","LU1267930656.SGD","IE00B19Z9505.USD","LU0976567544.SGD","BK4503","SGXZ51526630.SGD","LU0097036916.USD","LU2023251221.USD","BK4607","IE00BFSS7M15.SGD","IE00B894F039.SGD","LU1515016050.SGD","LU0158827781.USD","KBAB","LU1934455863.HKD","LU1035773651.USD","LU0417517546.SGD","LU2357305700.SGD","LU2226246903.HKD","LU0918141705.HKD","BABX","LU2663582299.SGD","IE00BVYPNW00.USD","LU0965509010.AUD","BK4587","BK4534","LU1051769294.HKD","LU1244550577.SGD","LU2112291526.USD","IE00B1BXHZ80.USD","09988","LU1506573853.SGD","LU0320765059.SGD","LU1508157978.USD","LU1051768304.USD","LU0353189680.USD","LU1791710400.SGD","LU0791590937.USD","LU0211331839.USD","IE00BQXX3F31.USD","LU1003077747.HKD","LU0797268264.HKD","LU0795875169.SGD","LU1037948897.HKD","UNHG","LU2244417387.USD","LU1074936037.SGD","SG9999014880.SGD","LU1804176565.USD","LU0107464264.USD","IE00B7N09G41.SGD","LU0890818403.SGD","LU0158827948.USD","IE00BFXG1179.USD","LU0965509101.SGD","IE00BKVL7J92.USD","BK4224","LU0266013472.USD","LU0348744763.USD","LU1732799900.SGD","LU0683600562.USD","LU0070302665.USD","BK4122","LU1823568750.SGD","LU0211328371.USD","LU0787776722.HKD","BK4565","LU1778281490.HKD","LU0265550359.USD","IE00B0JY6M65.USD","LU0820562030.AUD","SG9999013999.USD","LU0211326839.USD","LU0029864427.USD","LU0234572021.USD","LU2362541513.USD","LU1066051811.HKD","BK4171","MDT","LU0164881194.USD","IE00B19Z3B42.SGD","LU2111349929.HKD","LU2271345857.HKD","LU1854103824.USD","LU0198837287.USD","LU1046422090.SGD","SG9999018865.SGD","LU1152091168.USD","LU1244550221.USD","LU2552382058.USD","IE00B3PB1722.GBP","IE00BKPKM429.USD","LU1805238398.USD","LU0348814723.USD","UNHW","IE00B19Z3581.USD","LU0536402901.SGD","LU0431992006.USD","SG9999014906.USD","LU2552382132.HKD","BK4527","LU1235294995.USD","LU1242518857.USD","LU1571399168.USD","LU1102505762.USD","LU2133065610.SGD","LU0738911758.USD","LU1323998911.USD","SG9999001176.USD","LU0949170772.SGD","LU0265550946.USD","LU0066902890.USD","IE00B19Z8W00.USD","LU0553294199.USD","LU2148611432.USD","LU2265009873.SGD","IE0004445239.USD","LU1551013342.USD","UNH","LU0708995401.HKD","LU1989764664.SGD","LU0943347566.SGD","LU0077335932.USD","LU1261432733.SGD","IE00B4JS1V06.HKD","LU1023059063.AUD","LU0203345920.USD","LU2362541273.HKD","LU1688375341.USD","LU1153585028.USD","IE000M9KFDE8.USD","IE00BQXX3C00.GBP","IE0009355771.USD","LU2028103732.USD","LU0052756011.USD","LU2279689827.SGD","LU1670628061.USD","LU1066051225.USD","LU1988902786.USD","BABW","LU0053666078.USD","BK4567","LU2125154778.USD","LU1046421795.USD","LU0831103253.SGD","LU0862451753.SGD","LU1769817096.USD","LU0238689110.USD","IE00BQXX3D17.EUR","LU2211815571.USD","LU0353189763.USD","SGXZ81514606.USD","LU0122379950.USD","NCLH","BK4548","BK4543","LU0316494557.USD","LU0128525689.USD","LU1854104046.USD","LU0979878070.USD","BK4526","LU2361044949.HKD","LU0187121727.USD","LU1267930227.SGD","LU1366334578.USD","BK4505","IE0005OL40V9.USD","LU1267930573.SGD","LU2491049909.HKD","LU1119994496.HKD","LU0287143357.SGD","LU1282648689.USD","LU2089283258.USD","IE00BFSS8Q28.SGD","LU0912757837.SGD","LU2264538146.SGD","LU0203347892.USD","LU1242518931.SGD","IE0002270589.USD","BK4588","LU0456855351.SGD","LU0820561909.HKD","LU0672654240.SGD","LU2468319806.SGD","IE00B19Z9P08.USD","LU0310800379.SGD","BK4082","IE00BJJMRY28.SGD","BK4554","LU0545039389.USD","IE00BFMHRM44.USD","LU0557290698.USD","LU0149725797.USD","LU1008478684.HKD","LU1152091754.HKD"],"gpt_icon":1},{"id":"2612316324","title":"印孚瑟斯与 Anthropic合作推出高端企业级人工智能解决方案","url":"https://stock-news.laohu8.com/highlight/detail?id=2612316324","media":"环球市场播报","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2612316324?lang=zh_cn&edition=fundamental","pubTime":"2026-02-17 12:13","pubTimestamp":1771301580,"startTime":"0","endTime":"0","summary":"据印度科技公司印孚瑟斯（Infosys）向证券交易所发布的公告显示，该公司将与Anthropic合作，为电信、金融服务、制造业及软件开发领域的企业开发并提供高端企业级人工智能解决方案。双方合作将首先从电信行业启动，由 Anthropic设立专门中心，用于构建和部署适配行业特定业务的人工智能智能体。随后，合作范围将扩展至其他行业。印孚瑟斯的 Topaz 平台与 Anthropic的 Claude 大模型将实现融合，用于自动化复杂工作流程、加快软件交付，并为各行业打造具备自主执行能力的人工智能解决方案。\n\n\n海量资讯、精准解读，尽在新浪财经APP\n\n责任编辑：王永生","market":"sg","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/stock/usstock/c/2026-02-17/doc-inhnaxzp6296637.shtml","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":"sina","symbols":["BK4523","BK4588","LU1267930656.SGD","LU0708995666.HKD","LU0791590937.USD","LU0231203729.USD","LU0197229882.USD","BK4134","LU0890818403.SGD","BK4535","IE00BYTNYM70.SGD","IE00B7N09G41.SGD","LU1805238398.USD","LU1366334651.USD","LU0868486357.SGD","BK4533","LU0531971678.HKD","LU1102505762.USD","BK4585","LU0898667661.SGD","LU2087589342.USD","LU0164881194.USD","IE00B3M56506.USD","LU1804176565.USD","LU0831103253.SGD","LU0862451753.SGD","LU0348744763.USD","INFY","LU0431992006.USD","LU1366334578.USD","LU2265009873.SGD","LU1508157978.USD","LU0066902890.USD","LU0333810181.USD","LU0536402901.SGD","161631","LU0791591158.USD","LU0287143357.SGD","IE00B0JY6M65.USD","LU1323998911.USD","LU2663582299.SGD"],"gpt_icon":0},{"id":"2611015107","title":"Infosys与埃克森美孚合作，共同推进浸没式冷却技术，助力可持续人工智能基础设施建设","url":"https://stock-news.laohu8.com/highlight/detail?id=2611015107","media":"美通社","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2611015107?lang=zh_cn&edition=fundamental","pubTime":"2026-02-13 17:44","pubTimestamp":1770975840,"startTime":"0","endTime":"0","summary":"此次合作进一步践行了Infosys对能源创新、脱碳和跨行业联盟的承诺。Infosys Topaz将实现冷却运营的实时优化，确保更智能的能源使用、预测性维护以及可扩展、可靠和可持续的基础设施。通过利用Infosys Topaz进行实时人工智能驱动的优化，利用Infosys Cobalt进行安全、可扩展的云部署，结合埃克森美孚先进的能源专业知识，我们正在解决对更高效、高性能数字基础设施的迫切需求。Infosys的人工智能和数字服务套件使我们能够试点和采用更智能、更高效、更具韧性的基础设施。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://wwwold.prnasia.com/story/archive/4887783_ZH87783_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":["LU0862451753.SGD","BK4523","LU1074936037.SGD","BK4550","LU0300736062.USD","LU1929549753.HKD","LU1883866441.USD","LU1150488218.USD","LU1718418525.SGD","IE00BGHQF524.EUR","LU0791590937.USD","LU2462611646.USD","SG9999014567.USD","LU0203345920.USD","SG9999001440.SGD","BK4533","LU2129689605.HKD","BK4585","LU0791591158.USD","LU2430703178.SGD","LU0348744763.USD","LU0708995666.HKD","LU1839511570.USD","LU2592432038.USD","LU0266512473.USD","SG9999014559.SGD","LU1674673428.USD","BK4534","IE00B1XK9C88.USD","IE00BKDWB100.SGD","IE00B3CCJ963.GBP","LU0333810181.USD","LU0345780950.USD","LU2265009873.SGD","LU1162221912.USD","INFY","IE00B0JY6M65.USD","LU1430597077.USD","BK4588","LU1489326972.SGD","LU0868486357.SGD","XOM","LU0890818403.SGD","IE00B2Q91V27.USD","LU0531971678.HKD","LU2663582299.SGD","BK4570","IE000M9KFDE8.USD","LU2602419157.SGD","LU0536402901.SGD"],"gpt_icon":0},{"id":"2611904287","title":"印孚瑟斯盘中异动 股价大跌5.15%报14.95美元","url":"https://stock-news.laohu8.com/highlight/detail?id=2611904287","media":"市场透视","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2611904287?lang=zh_cn&edition=fundamental","pubTime":"2026-02-12 22:31","pubTimestamp":1770906680,"startTime":"0","endTime":"0","summary":"北京时间2026年02月12日22时31分，印孚瑟斯股票出现波动，股价快速跳水5.15%。截至发稿，该股报14.95美元/股，成交量77.4841万股，换手率0.02%，振幅1.78%。最近的财报数据显示，该股实现营业收入51.05亿美元，净利润7.47亿美元，每股收益0.18美元，毛利14.40亿美元，市盈率19.48倍。印孚瑟斯股票所在的信息科技服务行业中，整体跌幅为1.27%。印孚瑟斯的IT服务涵盖咨询、数字化转型和业务流程外包。","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=nesSN20260212223120a49ce78d&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260212223120a49ce78d&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["LU0890818403.SGD","BK4134","LU2663582299.SGD","LU1805238398.USD","BK4535","LU0287143357.SGD","LU0431992006.USD","LU1366334578.USD","LU0197229882.USD","LU0333810181.USD","LU1102505762.USD","LU0791591158.USD","LU0066902890.USD","LU0231203729.USD","LU0831103253.SGD","LU0536402901.SGD","LU0531971678.HKD","LU1323998911.USD","IE00B7N09G41.SGD","LU0708995666.HKD","LU0164881194.USD","LU1804176565.USD","BK4523","LU2265009873.SGD","LU0862451753.SGD","LU0898667661.SGD","LU1508157978.USD","LU1366334651.USD","BK4585","IE00BYTNYM70.SGD","BK4588","LU0868486357.SGD","LU0348744763.USD","IE00B3M56506.USD","LU1267930656.SGD","LU2087589342.USD","IE00B0JY6M65.USD","INFY","LU0791590937.USD","BK4533"],"gpt_icon":0},{"id":"2610287997","title":"受AI担忧影响 印度印孚瑟斯、塔塔咨询引领印度软件股抛售","url":"https://stock-news.laohu8.com/highlight/detail?id=2610287997","media":"环球市场播报","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2610287997?lang=zh_cn&edition=fundamental","pubTime":"2026-02-12 12:37","pubTimestamp":1770871020,"startTime":"0","endTime":"0","summary":"由于市场愈发担心人工智能可能冲击现有商业模式，印度软件企业出现下跌，其中印孚瑟斯（Infosys）和塔塔咨询服务公司（TCS） 领跌。周四这两家印度最大软件公司股价均下跌超 4%，拖累同行，板块抛售潮持续扩大。印度 Nifty IT 指数一度大跌 4.6%，创下去年 10 月 1 日以来最低水平，指数全部 10 只成分股均收跌。\n\n\n海量资讯、精准解读，尽在新浪财经APP\n\n责任编辑：王永生","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/stock/usstock/c/2026-02-12/doc-inhmpqki9873620.shtml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"sina","symbols":["LU0531971678.HKD","IE00BYTNYM70.SGD","LU0862451753.SGD","BK4523","LU0791590937.USD","LU0868486357.SGD","LU0287143357.SGD","LU0708995666.HKD","LU0890818403.SGD","LU1267930656.SGD","LU0348744763.USD","LU0791591158.USD","BK4585","LU1508157978.USD","LU2663582299.SGD","LU1323998911.USD","VGT","LU0431992006.USD","LU1102505762.USD","LU1366334578.USD","LU0231203729.USD","BK4535","LU1804176565.USD","LU1366334651.USD","IE00B7N09G41.SGD","LU0898667661.SGD","LU2087589342.USD","LU0536402901.SGD","LU0066902890.USD","IE00B0JY6M65.USD","LU2265009873.SGD","LU1805238398.USD","IE00B3M56506.USD","LU0164881194.USD","MNDmain","LU0197229882.USD","INFY","LU0831103253.SGD","LU0333810181.USD","BK4588","BK4134","BK4533"],"gpt_icon":0},{"id":"2609540508","title":"美股“假摔”or分水岭？","url":"https://stock-news.laohu8.com/highlight/detail?id=2609540508","media":"谭谈债市","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2609540508?lang=zh_cn&edition=fundamental","pubTime":"2026-02-07 21:04","pubTimestamp":1770469466,"startTime":"0","endTime":"0","summary":"1本次美股连跌的特征和传导链1、导火索：人工智能公司Anthropic发布新AI工具，市场担忧SaaS被“抢饭碗”。","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=nesSN20260207213721a6df2d27&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260207213721a6df2d27&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["BK4559","INTU","UPS","BK4534","BK4588","ESmain","KGDEY","SPY","UWM","BK4535","XRO.AU","TQQQ","00268","TWM","SSO","BK4585","BK4504","NOW","BK4581","HUBS","SPXU","TZA","ADBE","BK4550","OEX","QQQ","SH","TNA",".SPX","INFY","IWO","CRM","UPRO","IWN","OEF","IVV","MESmain","MNQmain","SRTY","RWM","SDS"],"gpt_icon":0},{"id":"2605094459","title":"Infosys荣膺全球增长最快的IT服务品牌，品牌价值年复合增长率高达15%","url":"https://stock-news.laohu8.com/highlight/detail?id=2605094459","media":"美通社","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2605094459?lang=zh_cn&edition=fundamental","pubTime":"2026-01-22 11:06","pubTimestamp":1769051160,"startTime":"0","endTime":"0","summary":"全球最具价值IT服务品牌前三名。在《Brand Finance 2026年全球500强》的报告中，Infosys被公认为行业中增长最快的品牌，过去六年复合年增长率为15%，到2026年品牌价值将达到164亿美元。这一荣誉凸显了Infosys品牌在推动创新、培养信任和为全球企业提供可持续价值方面的力量。\" Infosys持续的品牌领导地位证明了其将目标与业绩无缝融合的能力。Infosys被Ethisphere评为全球最具商业道德的公司之一，这是信任、卓越和前瞻性领导的典范。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://wwwold.prnasia.com/story/archive/4867874_ZH67874_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":["LU0531971678.HKD","IE00BYTNYM70.SGD","LU0862451753.SGD","BK4523","LU0791590937.USD","LU0868486357.SGD","LU0287143357.SGD","LU0708995666.HKD","LU0890818403.SGD","LU1267930656.SGD","LU0348744763.USD","LU0791591158.USD","BK4585","LU1508157978.USD","LU2663582299.SGD","LU1323998911.USD","LU0431992006.USD","LU1102505762.USD","LU1366334578.USD","LU0231203729.USD","BK4535","LU1804176565.USD","LU1366334651.USD","IE00B7N09G41.SGD","LU0898667661.SGD","LU2087589342.USD","LU0536402901.SGD","LU0066902890.USD","IE00B0JY6M65.USD","LU2265009873.SGD","LU1805238398.USD","IE00B3M56506.USD","LU0164881194.USD","LU0197229882.USD","INFY","LU0831103253.SGD","LU0333810181.USD","BK4588","BK4134","BK4533"],"gpt_icon":0},{"id":"2603644869","title":"印孚瑟斯上调全年营收预测，因大型交易增加","url":"https://stock-news.laohu8.com/highlight/detail?id=2603644869","media":"环球市场播报","labels":["dataReport"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2603644869?lang=zh_cn&edition=fundamental","pubTime":"2026-01-15 04:22","pubTimestamp":1768422120,"startTime":"0","endTime":"0","summary":"印孚瑟斯（Infosys，INFY）周三尾盘大涨10.4%，此前该公司上调全年营收预测，因大型交易增加。\n\n\n海量资讯、精准解读，尽在新浪财经APP\n\n责任编辑：张俊 SF065","market":"sg","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":["earning"],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/stock/usstock/c/2026-01-15/doc-inhhiizz4607434.shtml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"dataReport","news_rank":0,"length":0,"strategy_id":0,"source":"sina","symbols":["INFY"],"gpt_icon":0},{"id":"1130959910","title":"异动解读 | 印孚瑟斯盘中大涨5.14%，财报超预期并上调全年指引","url":"https://stock-news.laohu8.com/highlight/detail?id=1130959910","media":"异动解读","labels":["movement"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1130959910?lang=zh_cn&edition=fundamental","pubTime":"2026-01-14 22:32","pubTimestamp":1768401166,"startTime":"0","endTime":"0","summary":"印孚瑟斯（INFY）今日盘中大涨5.14%，引起了市场的广泛关注。消息面上，印孚瑟斯最新公布的第三季度财报表现强劲，营收同比增长8.9%，达到4547.9亿印度卢比（约合50.4亿美元），超出分析师预期的4522.7亿印度卢比。公司同时将2026财年营收增长预期从此前的2%-3%上调至3%-3.5%，显示出管理层对业务前景的信心。此外，公司近期斩获了多笔由人工智能技术驱动的大额订单，包括与英国国家医疗服务体系（NHS）达成的16亿美元合作。这些积极因素共同推动了股价的强势表现。","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":"2","news_top_title":null,"news_tag":"movement","news_rank":0,"length":0,"strategy_id":0,"source":"ai_movement_cn","symbols":["INFY"],"gpt_icon":0},{"id":"1167734000","title":"异动解读 | 印孚瑟斯盘前大涨5.02%，财报超预期并上调全年指引","url":"https://stock-news.laohu8.com/highlight/detail?id=1167734000","media":"异动解读","labels":["movement"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1167734000?lang=zh_cn&edition=fundamental","pubTime":"2026-01-14 21:54","pubTimestamp":1768398889,"startTime":"0","endTime":"0","summary":"印孚瑟斯今日盘前股价大涨5.02%，引发市场广泛关注。这一显著上涨与该公司最新公布的第三季度财报表现强劲密切相关。财报显示，印孚瑟斯第三季度营收同比增长8.9%，达到4547.9亿印度卢比，超出分析师预期的4522.7亿印度卢比。公司同时将2026财年营收增长预期从此前的2%-3%上调至3%-3.5%，显示出管理层对业务前景的信心。分业务来看，金融服务板块营收同比增长3.9%，通信板块则以9.9%的增幅领跑。这些积极因素共同推动了股价的强势表现。","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":["INFY"],"gpt_icon":0},{"id":"2603185386","title":"Infosys第三季度营收超预期 上调全年业绩指引区间","url":"https://stock-news.laohu8.com/highlight/detail?id=2603185386","media":"环球市场播报","labels":["dataReport"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2603185386?lang=zh_cn&edition=fundamental","pubTime":"2026-01-14 19:40","pubTimestamp":1768390800,"startTime":"0","endTime":"0","summary":"　　受益于金融服务客户科技需求回暖，印度第二大信息技术服务提供商Infosys于周三公布财报，其第三季度营收超出市场预期。　　Infosys将 2026 财年的营收增长预期区间从此前的 2%-3%，上调至 3%-3.5%。　　不过，Infosys该季度净利润同比下滑 2.2%，降至 665.4 亿印度卢比，低于路孚特统计的分析师平均预期值 737.9 亿印度卢比。　　本周一，受人工智能需求提振，Infosys的同行塔塔咨询服务公司和 HCL 科技公司同样交出了营收超预期的成绩单。","market":"fut","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/stock/usstock/c/2026-01-14/doc-inhhhtet7039224.shtml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"dataReport","news_rank":0,"length":0,"strategy_id":0,"source":"sina","symbols":["IE00B3M56506.USD","BK4523","LU0231203729.USD","LU2663582299.SGD","LU2087589342.USD","LU0791591158.USD","IE00B7N09G41.SGD","LU1508157978.USD","LU0868486357.SGD","LU2265009873.SGD","LU0536402901.SGD","LU0066902890.USD","LU0333810181.USD","LU1805238398.USD","BK4535","BK4200","LU0287143357.SGD","INFY","LU0348744763.USD","LU1267930656.SGD","LU0531971678.HKD","LU0831103253.SGD","LU0862451753.SGD","LU0890818403.SGD","BK4585","LU1366334651.USD","LU1366334578.USD","LU0708995666.HKD","LU1804176565.USD","TCS","BK4533","IE00BYTNYM70.SGD","LU0898667661.SGD","LU0197229882.USD","LU1102505762.USD","LU0431992006.USD","NHS","BK4134","IE00B0JY6M65.USD","BK4588","LU0164881194.USD","LU1323998911.USD","LU0791590937.USD"],"gpt_icon":0},{"id":"2601350755","title":"Infosys和AWS合作加速企业采用生成式人工智能","url":"https://stock-news.laohu8.com/highlight/detail?id=2601350755","media":"美通社","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2601350755?lang=zh_cn&edition=fundamental","pubTime":"2026-01-08 13:25","pubTimestamp":1767849900,"startTime":"0","endTime":"0","summary":"利用Infosys Topaz和Amazon Q Developer重新定义全球各行业的软件交付和客户价值 印度班加罗尔2026年1月8日 /美通社/ -- 下一代数字服务和咨询的全球领军者Infosys近日宣布与亚马逊网络服务达成战略合作，以加速企业采用生成式人工智能。Infosys 还利用AWS生成式人工智能服务，为各行业提供尖端解决方案。通过这次合作，Infosys和AWS致力于提供基于卓越技术的解决方案，并为满足全球行业的独特需求而量身定制。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://wwwold.prnasia.com/story/archive/4859084_ZH59084_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":["LU0724617625.USD","LU0211328371.USD","LU0708995666.HKD","LU1629891620.HKD","LU0980610538.SGD","LU1064131342.USD","BK4524","IE00BMPRXN33.USD","LU2756315318.SGD","LU1102505762.USD","LU1989764664.SGD","IE0003U64NQ7.SGD","LU0417517546.SGD","LU0308772762.SGD","LU1496350171.SGD","LU0466842654.USD","IE00BKDWB100.SGD","LU0061474705.USD","SG9999015945.SGD","BK4527","LU2023251221.USD","LU2362541513.USD","BK4548","LU0162691827.USD","LU2361045086.USD","LU1119994496.HKD","LU0985320562.USD","LU0823434740.USD","SGXZ51526630.SGD","IE000W1ABFV2.USD","LU0683600562.USD","LU0791590937.USD","BK4507","IE00B19Z3581.USD","LU0390134368.USD","LU0210536198.USD","LU0531971678.HKD","LU2083900584.USD","IE00BQXX3C00.GBP","BK4598","LU0056508442.USD","BK4550","LU1116320737.USD","LU0964807845.USD","LU0965509010.AUD","IE00BFSS7M15.SGD","LU0820562030.AUD","LU2054465674.USD","LU1868837300.USD","LU0011850046.USD","BK4559","LU0353189680.USD","LU2213496289.HKD","LU1267930573.SGD","LU2264538146.SGD","IE0034235303.USD","LU1127390331.HKD","IE0002270589.USD","SG9999015952.SGD","BK4523","LU1720051017.SGD","LU0316494557.USD","IE00B7N09G41.SGD","LU0080751232.USD","LU0965509101.SGD","LU0048584097.USD","LU0097036916.USD","LU1880398554.USD","LU0640476718.USD","LU2456880835.USD","LU1366333091.USD","IE00B5TLWC47.USD","LU1153585028.USD","LU0265550359.USD","LU0154236417.USD","LU1066051498.USD","USAW.SI","LU0456855351.SGD","LU2357305700.SGD","LU0203202063.USD","IE00BMPRXQ63.HKD","LU0198837287.USD","LU0823421416.USD","IE00B0JY6M65.USD","LU1323998911.USD","LU0276348264.USD","LU2211815571.USD","LU2403377893.USD","LU1674673428.USD","LU2417539215.USD","LU0158827948.USD","LU2065170008.USD","LU0708995401.HKD","LU0642271901.SGD","LU1720051108.HKD","SG9999014880.SGD","LU1232071149.USD","LU0267386448.USD","LU2430703178.SGD","LU2065169927.USD","LU0170899867.USD","LU0289941410.SGD","LU1066053197.SGD","IE0004445015.USD","INFY","LU2420271590.USD","IE000YTNTUN2.SGD","LU1366192091.USD","LU0053666078.USD","LU0109391861.USD","BK4503","LU0256863811.USD","IE0009356076.USD","LU2361044865.SGD","IE00BZ1G4Q59.USD","LU0320765489.SGD","SG9999015978.USD","LU0787776722.HKD","IE00B5949003.HKD","LU2381873111.SGD","LU2471134952.CNY","LU0528227936.USD","BK4134","LU1988902786.USD","IE00B7SZLL34.SGD","LU2250418816.HKD","LU0082616367.USD","LU2237438978.USD","LU0164881194.USD","LU1989764748.USD","LU0310800379.SGD","LU0345774391.USD","LU2111349929.HKD","LU2362540622.SGD","BK4543","SGXZ23171101.USD","IE00BJTD4V19.USD","BK4561","LU0689472784.USD","BK4579","LU0251132253.USD","LU0096362180.USD","LU2236285917.USD","LU2552382058.USD","LU0786609619.USD","LU2505996509.AUD","LU2452424414.USD","BK4533","LU2097829019.USD","LU2168564495.EUR","LU0077335932.USD","LU0234570918.USD","LU2543165471.USD","IE0005OL40V9.USD","LU0345769631.USD","LU2720916845.USD","LU2211817866.USD","BK4592","LU0353189763.USD","LU2462157665.USD","IE000ITXATA3.USD","LU0314104364.USD","IE00B4YYXB79.USD","IE00BN29S564.USD","LU0345770993.USD","LU1429558221.USD","LU1868836757.USD","LU0158827781.USD","IE00BJJMRY28.SGD","LU2764262908.HKD","LU0943347566.SGD","LU0208291251.USD","LU0354030438.USD","LU0898667661.SGD","LU1935042488.USD","LU0820561909.HKD","LU2361044949.HKD","LU0348723411.USD","LU2750360997.AUD","LU1914381329.SGD","LU0029864427.USD","LU0203201768.USD","LU2087621335.USD","LU2168564149.EUR","LU0823434583.USD","LU2463028550.USD","LU0127658192.USD","IE000KEQY171.SGD","LU1435385759.SGD","IE00B19Z3B42.SGD","LU2663582299.SGD","LU2602419157.SGD","LU0130102774.USD","LU0231203729.USD","LU1035775433.USD","LU2065171402.SGD","LU2125154778.USD","LU0210528500.USD","GB00BDT5M118.USD","LU1823568750.SGD","LU0079474960.USD","LU2750360641.GBP","BK4612","LU0882574139.USD","LU1791710582.SGD","LU1868836914.USD","IE00BMPRXR70.SGD","LU2063271972.USD","LU2552382215.SGD","IE00BKPKM429.USD","LU1267930490.SGD","BK4596","LU2168564065.EUR","LU2360032135.SGD","LU0096364046.USD","LU0536402901.SGD","LU2471134879.HKD","LU1633808545.USD","LU1551013425.SGD","LU0820561818.USD","IE00B3S45H60.SGD","LU2505996681.GBP","LU1267930656.SGD","LU2242650005.HKD","SG9999014898.SGD","LU1366334651.USD","LU2592432038.USD","LU0070217475.USD","LU0345774631.USD","LU1037948897.HKD","LU2168563687.JPY","LU2168564222.USD","LU2317271919.USD","SG9999014906.USD","LU0831103253.SGD","LU1116320901.HKD","LU0354030511.USD","LU0965508806.USD","LU1868837136.USD","LU2430703095.HKD","BK4566","LU1868836591.USD","LU1880398471.USD","IE00BQXX3F31.USD","IE0004091025.USD","IE00BFXG0V08.USD","LU1069344957.HKD","IE00BQXX3D17.EUR","LU2764263203.CNY","LU1805238398.USD","LU1718418525.SGD","LU0889565833.HKD","SGXZ31699556.SGD","SG9999018865.SGD","LU2087625088.SGD","LU1861559042.SGD","LU0965509283.SGD","LU2326559502.SGD","LU2362541273.HKD","LU0256863902.USD","LU2247934214.USD","LU0431992006.USD","LU2360106780.USD","LU1791710400.SGD","IE00BJJMRX11.SGD","LU2430703251.USD","LU0066902890.USD","LU0072461881.USD","LU0333810181.USD","LU1244550577.SGD","LU2089284900.SGD","LU2271345857.HKD","LU0287143357.SGD","LU2242649171.HKD","LU0823411888.USD","LU0215105999.USD","LU2089283258.USD","LU0061474960.USD","LU0197229882.USD","IE00B19Z9505.USD","LU0890818403.SGD","LU2487616109.SGD","SG9999018857.SGD","IE00BKVL7J92.USD","LU0175139822.USD","LU1316542783.SGD","LU1815333072.USD","BK4122","IE00B1XK9C88.USD","LU1323610961.USD","LU1261432733.SGD","BK4581","LU0312595415.SGD","SGXZ81514606.USD","LU0061475181.USD","IE0001KFT4U8.USD","LU1861127337.USD","LU1934455277.USD","LU0345768153.USD","IE00B775SV38.USD","LU2092937148.SGD","IE00BYTNYM70.SGD","BK4534","LU0868486357.SGD","LU2461242641.AUD","LU0823421333.USD","LU1066051225.USD","LU2552382132.HKD","LU2065171311.SGD","IE00B3M56506.USD","LU1804176565.USD","LU0310799852.SGD","LU2764263039.SGD","LU1201861249.SGD","LU0672654240.SGD","LU0342679015.USD","LU1244550494.USD","LU0109392836.USD","LU1883839398.USD","IE0004086264.USD","LU0265550946.USD","LU1935042215.USD","IE00BK4W5M84.HKD","LU0149725797.USD","IE00BWXC8680.SGD","LU0345769128.USD","LU0791591158.USD","LU2237957902.USD","LU1803068979.SGD","LU1201861165.SGD","LU1046421795.USD","IE0009G5SDU7.USD","LU1839511570.USD","LU2746668974.SGD","IE00BK4W5L77.USD","LU1235294995.USD","LU2087589342.USD","SG9999015986.USD","LU2125154935.USD","LU1934455863.HKD","IE00B19Z8X17.USD","LU0345768740.USD","BK4554","LU2028103732.USD","LU1267930730.SGD","LU0323591593.USD","IE00BFSS8Q28.SGD","LU2023250330.USD","IE0004445239.USD","SGXZ99366536.SGD","LU1852331112.SGD","LU0128525929.USD","IE00B775H168.HKD","LU1861558580.USD","LU0648000940.SGD","LU0648001328.SGD","LU1935043536.SGD","SG9999002232.USD","BK4220","IE00B1BXHZ80.USD","LU0348744763.USD","LU1814569148.SGD","IE00B4JS1V06.HKD","LU0072462426.USD","LU0107464264.USD","LU1244550221.USD","LU2077746001.SGD","SG9999004303.SGD","LU0234572021.USD","LU0130103400.USD","LU2275660780.HKD","IE00B3SWFQ91.USD","LU0289960550.SGD","LU1551013342.USD","LU1548497426.USD","BK4588","LU1934455194.USD","SG9999001077.SGD","LU2092627202.USD","IE00B7KXQ091.USD","LU1084165304.USD","SG9999014914.USD","AMZN","IE00BJTD4N35.SGD","BK4535","LU1674673691.USD","SG9999017495.SGD","BK4585","LU1037948541.HKD","SG9999000418.SGD","IE00B19Z8W00.USD","LU1145028129.USD","LU2237957811.SGD","LU0862451753.SGD","LU2896262040.SGD","LU2860962120.EUR","LU0320765059.SGD","LU1074936037.SGD","LU2265009873.SGD","LU1691799644.USD","LU0070302665.USD","LU2746668461.USD","BK4532","LU0957791311.USD","LU0238689110.USD","BK4538","LU1066051811.HKD","LU0157215616.USD","LU1508157978.USD","LU1935042991.SGD","BK4551","LU0210533765.USD","LU0861579265.USD","LU0302445910.USD","LU1778281490.HKD","LU2471134796.USD","IE00BJLML261.HKD","LU0211327993.USD","LU0494093205.USD","LU0708994859.HKD","LU2756315664.SGD","IE00BYQQ9H92.USD","LU0345770308.USD","BK4604","LU1366334578.USD","LU2471134523.USD","LU1280957306.USD","LU0719512351.SGD","LU1496350502.SGD","LU1935043023.USD","LU0788109477.HKD","SG9999002224.SGD","LU2108987350.USD"],"gpt_icon":1},{"id":"2601687822","title":"印孚瑟斯宣布与亚马逊云科技达成新合作","url":"https://stock-news.laohu8.com/highlight/detail?id=2601687822","media":"观点新媒体","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2601687822?lang=zh_cn&edition=fundamental","pubTime":"2026-01-07 14:49","pubTimestamp":1767768555,"startTime":"0","endTime":"0","summary":"观点网讯：1月7日，印度IT服务巨头印孚瑟斯（Infosys）披露与亚马逊云科技（AWS）扩大合作，双方将以联合解决方案形式向企业输出生成式人工智能平台，帮助客户缩短模型训练与上线周期。新框架将嵌入印孚瑟斯现有云迁移与数据治理服务，AWS提供底层算力及大模型工具链，首批场景覆盖金融、零售与医疗行业，目标在2025年内完成超50家企业的概念验证部署。免责声明：本文内容与数据由观点根据公开信息整理，不构成投资建议，使用前请核实。","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=nesSN20260107145141a6fd6eac&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260107145141a6fd6eac&s=b","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":"tencent","symbols":["SG9999004303.SGD","LU1551013342.USD","LU2463028550.USD","IE00B5949003.HKD","LU0061475181.USD","LU1934455863.HKD","BK4588","IE00BK4W5L77.USD","LU2063271972.USD","LU2168564495.EUR","LU0868486357.SGD","LU0943347566.SGD","LU2381873111.SGD","LU1366334651.USD","LU1046421795.USD","LU2756315318.SGD","IE00BN29S564.USD","LU1201861249.SGD","LU2326559502.SGD","LU1880398471.USD","LU0531971678.HKD","IE00B1XK9C88.USD","IE000W1ABFV2.USD","LU2065171402.SGD","LU2108987350.USD","IE000YTNTUN2.SGD","LU2237957811.SGD","IE0001KFT4U8.USD","LU1066051225.USD","LU0345774391.USD","LU0310799852.SGD","LU1074936037.SGD","LU1244550577.SGD","LU0431992006.USD","IE0034235303.USD","LU0251132253.USD","LU0070302665.USD","SGXZ81514606.USD","IE00B19Z3581.USD","LU2097829019.USD","BK4550","LU1935043536.SGD","LU2242649171.HKD","LU1064131342.USD","LU0234570918.USD","LU2065169927.USD","LU1366192091.USD","IE00BJJMRY28.SGD","LU0061474960.USD","IE00BFSS8Q28.SGD","LU1852331112.SGD","LU2505996509.AUD","IE00B0JY6M65.USD","IE0002270589.USD","LU1880398554.USD","LU0130103400.USD","LU1116320901.HKD","LU2430703178.SGD","SG9999014914.USD","LU2430703251.USD","LU1868836591.USD","IE00BKDWB100.SGD","LU0061474705.USD","LU1804176565.USD","INFY","BK4548","LU2357305700.SGD","LU0787776722.HKD","LU0791591158.USD","LU0211328371.USD","LU0823421416.USD","BK4592","LU0882574139.USD","LU2087589342.USD","GB00BDT5M118.USD","IE00B19Z8X17.USD","IE00BQXX3C00.GBP","LU0130102774.USD","SG9999014906.USD","LU2461242641.AUD","LU2750360641.GBP","LU2360106780.USD","LU1868836914.USD","LU0724617625.USD","LU0353189763.USD","LU1861559042.SGD","LU0320765059.SGD","LU0345768153.USD","LU2505996681.GBP","LU0256863902.USD","IE00B19Z3B42.SGD","LU0345769631.USD","LU0082616367.USD","IE00BQXX3F31.USD","LU2242650005.HKD","LU0965508806.USD","LU2403377893.USD","LU0820561818.USD","LU0964807845.USD","LU1267930490.SGD","LU1674673428.USD","IE0004445015.USD","LU1102505762.USD","LU1868837136.USD","LU1084165304.USD","LU0719512351.SGD","LU1791710400.SGD","LU0154236417.USD","LU0096362180.USD","LU1629891620.HKD","LU2471134952.CNY","IE00BJLML261.HKD","LU0683600562.USD","LU2054465674.USD","LU2471134879.HKD","LU0466842654.USD","LU2125154778.USD","LU2756315664.SGD","LU0708994859.HKD","LU2236285917.USD","LU0029864427.USD","LU0965509010.AUD","LU1366334578.USD","LU1153585028.USD","LU0157215616.USD","LU0302445910.USD","LU0861579265.USD","LU1674673691.USD","LU2065171311.SGD","LU0823421333.USD","BK4596","BK4535","LU0198837287.USD","LU0314104364.USD","LU1935042488.USD","BK4554","LU1914381329.SGD","BK4524","LU1935042215.USD","IE00BKPKM429.USD","IE00B775H168.HKD","LU0289960550.SGD","SGXZ23171101.USD","LU0070217475.USD","LU2362541513.USD","IE00B775SV38.USD","LU2452424414.USD","LU0238689110.USD","IE0005OL40V9.USD","LU0831103253.SGD","LU1989764748.USD","LU0823411888.USD","LU0965509283.SGD","IE000ITXATA3.USD","LU1823568750.SGD","LU2462157665.USD","BK4523","IE00BYTNYM70.SGD","IE00B5TLWC47.USD","LU1861127337.USD","LU0011850046.USD","LU0820561909.HKD","LU0312595415.SGD","LU2264538146.SGD","LU2125154935.USD","LU0708995666.HKD","LU2247934214.USD","IE00BFXG0V08.USD","IE0009356076.USD","LU0823434740.USD","LU0197229882.USD","BK4533","LU2213496289.HKD","LU2275660780.HKD","LU2361044949.HKD","SG9999000418.SGD","LU0203201768.USD","LU0648000940.SGD","LU2896262040.SGD","LU1066053197.SGD","LU0097036916.USD","BK4581","LU2092937148.SGD","LU0456855351.SGD","LU0536402901.SGD","LU1935042991.SGD","LU1280957306.USD","BK4534","LU2065170008.USD","LU0080751232.USD","LU0390134368.USD","LU1323610961.USD","LU1232071149.USD","LU2087621335.USD","LU0210533765.USD","LU0077335932.USD","BK4538","LU1508157978.USD","LU0890818403.SGD","LU0072462426.USD","LU0215105999.USD","LU0287143357.SGD","IE00BWXC8680.SGD","LU1323998911.USD","LU1815333072.USD","LU2250418816.HKD","LU0323591593.USD","SG9999014898.SGD","LU1814569148.SGD","LU2750360997.AUD","LU2663582299.SGD","LU2592432038.USD","LU0175139822.USD","LU0354030438.USD","IE0004091025.USD","LU1805238398.USD","LU1720051017.SGD","LU0353189680.USD","LU0053666078.USD","IE00BK4W5M84.HKD","LU0417517546.SGD","LU1267930730.SGD","LU0642271901.SGD","IE00B3S45H60.SGD","LU0345768740.USD","LU1244550221.USD","LU1201861165.SGD","LU2361044865.SGD","LU0345770308.USD","LU2764263203.CNY","SGXZ99366536.SGD","LU1935043023.USD","LU1868836757.USD","LU0788109477.HKD","LU1119994496.HKD","LU2552382215.SGD","LU1035775433.USD","LU0965509101.SGD","BK4134","LU0672654240.SGD","LU0210528500.USD","LU2023251221.USD","LU0256863811.USD","SG9999015945.SGD","LU1633808545.USD","LU2746668461.USD","LU0345769128.USD","LU0048584097.USD","LU1366333091.USD","LU1720051108.HKD","LU2077746001.SGD","LU2860962120.EUR","LU1037948541.HKD","LU0820562030.AUD","SG9999015952.SGD","LU1988902786.USD","LU0265550359.USD","LU0648001328.SGD","LU2237957902.USD","LU1267930656.SGD","BK4604","LU1861558580.USD","BK4585","LU0079474960.USD","IE00B7KXQ091.USD","LU2089284900.SGD","LU2602419157.SGD","LU0786609619.USD","IE00B3M56506.USD","LU0170899867.USD","LU0708995401.HKD","LU0267386448.USD","LU0289941410.SGD","SG9999001077.SGD","LU2471134523.USD","LU0203202063.USD","LU1429558221.USD","BK4527","LU2211815571.USD","LU2265009873.SGD","IE00BMPRXQ63.HKD","IE00B19Z9505.USD","IE000KEQY171.SGD","BK4551","LU0345774631.USD","LU0348723411.USD","LU1551013425.SGD","LU2083900584.USD","BK4220","LU0354030511.USD","LU0689472784.USD","BK4559","IE0009G5SDU7.USD","IE00B7N09G41.SGD","LU1267930573.SGD","LU0072461881.USD","LU2362541273.HKD","LU0210536198.USD","LU1691799644.USD","LU2764263039.SGD","BK4507","LU1037948897.HKD","IE00BMPRXN33.USD","LU1116320737.USD","LU1066051498.USD","LU2430703095.HKD","LU0211327993.USD","IE00BYQQ9H92.USD","LU2089283258.USD","SG9999014880.SGD","IE0003U64NQ7.SGD","IE00B4JS1V06.HKD","LU0128525929.USD","LU2417539215.USD","LU0109391861.USD","IE00BFSS7M15.SGD","IE00BKVL7J92.USD","LU2028103732.USD","LU1235294995.USD","LU1066051811.HKD","LU2087625088.SGD","LU2361045086.USD","IE00BQXX3D17.EUR","LU0333810181.USD","LU1496350171.SGD","LU0158827948.USD","LU2543165471.USD","LU2362540622.SGD","LU0310800379.SGD","LU0162691827.USD","LU1496350502.SGD","LU2471134796.USD","IE00BJTD4N35.SGD","LU0957791311.USD","IE00BJTD4V19.USD","LU0276348264.USD","LU1934455194.USD","SG9999015986.USD","BK4532","LU1069344957.HKD","BK4543","BK4122","IE00BZ1G4Q59.USD","BK4598","LU1548497426.USD","LU2317271919.USD","SG9999015978.USD","SGXZ51526630.SGD","LU1883839398.USD","AMZN","LU1934455277.USD","LU2552382132.HKD","LU0265550946.USD","LU1778281490.HKD","LU0127658192.USD","LU1989764664.SGD","LU2023250330.USD","LU0528227936.USD","LU0107464264.USD","LU2092627202.USD","LU2746668974.SGD","LU2168564065.EUR","LU1127390331.HKD","IE00B1BXHZ80.USD","BK4612","SGXZ31699556.SGD","LU1718418525.SGD","LU1145028129.USD","LU0823434583.USD","LU0231203729.USD","LU2487616109.SGD","LU2456880835.USD","LU0342679015.USD","LU0096364046.USD","LU2211817866.USD","LU1261432733.SGD","LU2271345857.HKD","LU0348744763.USD","LU1244550494.USD","LU2111349929.HKD","LU0898667661.SGD","LU2168564222.USD","LU2168564149.EUR","LU0056508442.USD","LU0640476718.USD","SG9999018865.SGD","LU0320765489.SGD","SG9999017495.SGD","LU0109392836.USD","LU1803068979.SGD","USAW.SI","LU2420271590.USD","LU0494093205.USD","IE00BMPRXR70.SGD","BK4503","LU0149725797.USD","LU0345770993.USD","LU2720916845.USD","LU1791710582.SGD","BK4561","LU0308772762.SGD","LU0889565833.HKD","LU2237438978.USD","LU0164881194.USD","LU1839511570.USD","LU0066902890.USD","LU2764262908.HKD","BK4579","LU0234572021.USD","LU0158827781.USD","LU0208291251.USD","LU2552382058.USD","LU0316494557.USD","SG9999002232.USD","LU0862451753.SGD","LU2168563687.JPY","LU1316542783.SGD","IE00B3SWFQ91.USD","IE0004086264.USD","IE00BJJMRX11.SGD","LU1435385759.SGD","LU0791590937.USD","LU1868837300.USD","LU0980610538.SGD","LU2360032135.SGD","SG9999018857.SGD","LU0985320562.USD","IE00B19Z8W00.USD","SG9999002224.SGD","IE0004445239.USD","IE00B7SZLL34.SGD","BK4566","IE00B4YYXB79.USD"],"gpt_icon":0},{"id":"1173785527","title":"财报前瞻｜印孚瑟斯本季度营收预计增3.92%，机构观点偏乐观","url":"https://stock-news.laohu8.com/highlight/detail?id=1173785527","media":"财报Agent","labels":["earningPreview"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1173785527?lang=zh_cn&edition=fundamental","pubTime":"2026-01-06 10:01","pubTimestamp":1767664915,"startTime":"0","endTime":"0","summary":"印孚瑟斯将于2026年01月13日发布最新季度财报，市场关注收入与利润的同比改善以及订单质量变化。市场一致预期本季度印孚瑟斯总收入为50.79亿美元，同比增长3.92%；调整后每股收益为0.21美元，同比增长6.91%；息税前利润为10.88亿美元，同比增长6.02%；公司层面对毛利率与净利率的具体预测在公开披露中暂无数据。","market":"hk","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":"财报前瞻｜印孚瑟斯本季度营收预计增3.92%，机构观点偏乐观","news_tag":"earningPreview","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["INFY"],"gpt_icon":0},{"id":"2593195432","title":"印孚瑟斯盘中异动 早盘快速下跌5.04%","url":"https://stock-news.laohu8.com/highlight/detail?id=2593195432","media":"市场透视","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2593195432?lang=zh_cn&edition=fundamental","pubTime":"2025-12-22 22:32","pubTimestamp":1766413925,"startTime":"0","endTime":"0","summary":"北京时间2025年12月22日22时32分，印孚瑟斯股票出现波动，股价大幅跳水5.04%。截至发稿，该股报19.20美元/股，成交量117.796万股，换手率0.03%，振幅2.84%。印孚瑟斯股票所在的信息科技服务行业中，整体涨幅为0.01%。印孚瑟斯公司简介：印孚瑟斯是一家总部位于印度班加罗尔的IT服务提供商，在50多个国家设有办事处。印孚瑟斯的IT服务涵盖咨询、数字化转型和业务流程外包。","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=nesSN2025122222320597a08d7f&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN2025122222320597a08d7f&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["LU0831103253.SGD","LU0287143357.SGD","BK4533","BK4588","LU0536402901.SGD","LU2087589342.USD","INFY","LU1366334578.USD","LU0431992006.USD","LU1508157978.USD","LU0791590937.USD","LU0066902890.USD","IE00B3M56506.USD","LU0868486357.SGD","LU1323998911.USD","LU0531971678.HKD","IE00B0JY6M65.USD","LU0333810181.USD","LU1366334651.USD","IE00BYTNYM70.SGD","BK4134","LU0890818403.SGD","LU0197229882.USD","LU1804176565.USD","LU0898667661.SGD","BK4523","LU0231203729.USD","LU1805238398.USD","LU0348744763.USD","BK4585","BK4535","LU0708995666.HKD","IE00B7N09G41.SGD","LU2265009873.SGD","LU0791591158.USD","LU0862451753.SGD","LU1102505762.USD","LU2663582299.SGD","LU0164881194.USD","LU1267930656.SGD"],"gpt_icon":0},{"id":"2592148875","title":"印度第二大IT服务商印孚瑟斯(Infosys)表示，没有重大信息需要披露","url":"https://stock-news.laohu8.com/highlight/detail?id=2592148875","media":"新浪财经","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2592148875?lang=zh_cn&edition=fundamental","pubTime":"2025-12-20 14:40","pubTimestamp":1766212818,"startTime":"0","endTime":"0","summary":"印度第二大IT服务商印孚瑟斯(Infosys)表示，没有重大信息需要披露。昨日，该公司美股收涨超5%。","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=nesSN20251220145830a6b9dddd&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20251220145830a6b9dddd&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["LU1508157978.USD","LU0287143357.SGD","LU2087589342.USD","IE00BYTNYM70.SGD","LU0164881194.USD","IE00B3M56506.USD","LU0531971678.HKD","LU0862451753.SGD","LU2663582299.SGD","LU0708995666.HKD","LU0831103253.SGD","LU0536402901.SGD","LU1102505762.USD","LU0066902890.USD","LU0791590937.USD","LU0890818403.SGD","BK4523","LU1267930656.SGD","LU1323998911.USD","LU1804176565.USD","IE00B0JY6M65.USD","LU0231203729.USD","BK4535","BK4585","IE00B7N09G41.SGD","LU0431992006.USD","LU0791591158.USD","BK4588","LU0868486357.SGD","LU2265009873.SGD","BK4134","LU0348744763.USD","LU1805238398.USD","LU0333810181.USD","LU0898667661.SGD","BK4533","INFY","LU1366334578.USD","LU1366334651.USD","LU0197229882.USD"],"gpt_icon":0},{"id":"2592195576","title":"印孚瑟斯盘中异动 急速拉升5.06%","url":"https://stock-news.laohu8.com/highlight/detail?id=2592195576","media":"市场透视","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2592195576?lang=zh_cn&edition=fundamental","pubTime":"2025-12-19 22:40","pubTimestamp":1766155227,"startTime":"0","endTime":"0","summary":"北京时间2025年12月19日22时40分，印孚瑟斯股票出现波动，股价急速拉升5.06%。截至发稿，该股报20.15美元/股，成交量300.356万股，换手率0.07%，振幅6.05%。印孚瑟斯股票所在的信息科技服务行业中，整体涨幅为0.48%。印孚瑟斯公司简介：印孚瑟斯是一家总部位于印度班加罗尔的IT服务提供商，在50多个国家设有办事处。印孚瑟斯的IT服务涵盖咨询、数字化转型和业务流程外包。","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=nesSN2025121922402897a07f6c&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN2025121922402897a07f6c&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["LU0333810181.USD","LU0708995666.HKD","IE00B0JY6M65.USD","LU0536402901.SGD","LU0862451753.SGD","IE00B3M56506.USD","LU0164881194.USD","LU0066902890.USD","LU1508157978.USD","LU0898667661.SGD","LU1805238398.USD","LU2087589342.USD","INFY","LU0231203729.USD","LU1102505762.USD","BK4533","LU0831103253.SGD","LU2663582299.SGD","LU0431992006.USD","LU0197229882.USD","BK4535","BK4588","IE00BYTNYM70.SGD","LU0287143357.SGD","LU0348744763.USD","LU0531971678.HKD","LU1366334651.USD","LU0791590937.USD","BK4523","LU0890818403.SGD","BK4585","LU1267930656.SGD","LU1366334578.USD","LU0868486357.SGD","BK4134","LU0791591158.USD","LU2265009873.SGD","IE00B7N09G41.SGD","LU1804176565.USD","LU1323998911.USD"],"gpt_icon":0},{"id":"2581402417","title":"Infosys今日发布Infosys Topaz Fabric™-------可组合的人工智能代理、服务和模型堆栈，可加速企业人工智能投资的价值","url":"https://stock-news.laohu8.com/highlight/detail?id=2581402417","media":"美通社","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2581402417?lang=zh_cn&edition=fundamental","pubTime":"2025-11-05 17:02","pubTimestamp":1762333320,"startTime":"0","endTime":"0","summary":"Infosys前向部署工程师与企业业务团队合作，确保Infosys Topaz Fabric与企业的特定环境相结合，并以指数级的速度和准确性提供高质量的IT服务。\" 通过与来自Infosys 合作伙伴生态系统的人工智能解决方案提供商和人工智能本土初创公司的合作，Infosys Topaz Fabric增强了尖端的人工智能，旨在加速企业人工智能转型计划的价值实现。关于Infosys Infosys是下一代数字服务和咨询的全球领导者。","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/4816275_ZH16275_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":["LU0831103253.SGD","LU0287143357.SGD","BK4533","BK4588","LU0536402901.SGD","LU2087589342.USD","INFY","LU1366334578.USD","LU0431992006.USD","LU1508157978.USD","LU0791590937.USD","LU0066902890.USD","IE00B3M56506.USD","LU0868486357.SGD","LU1323998911.USD","LU0531971678.HKD","IE00B0JY6M65.USD","LU0333810181.USD","LU1366334651.USD","IE00BYTNYM70.SGD","BK4134","LU0890818403.SGD","LU0197229882.USD","LU1804176565.USD","LU0898667661.SGD","BK4523","LU0231203729.USD","LU1805238398.USD","LU0348744763.USD","BK4585","BK4535","LU0708995666.HKD","IE00B7N09G41.SGD","LU2265009873.SGD","LU0791591158.USD","LU0862451753.SGD","LU1102505762.USD","LU2663582299.SGD","LU0164881194.USD","LU1267930656.SGD"],"gpt_icon":0},{"id":"2575263320","title":"Infosys Salesforce客户体验套件今日发布","url":"https://stock-news.laohu8.com/highlight/detail?id=2575263320","media":"美通社","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2575263320?lang=zh_cn&edition=fundamental","pubTime":"2025-10-14 13:15","pubTimestamp":1760418900,"startTime":"0","endTime":"0","summary":"在长期合作的基础上，Infosys正在加大努力，提供先进的Agentforce解决方案，并支持企业的数字化转型计划。Infosys部署了Agentforce SDR，为一家领先的研究机构彻底改变了销售流程，解决了效率低下的问题，缩短了响应时间。与Infosys的合作使Salesforce能够通过行业代理人工智能解决方案，更快、更大规模地帮助客户概念化和适应Agentforce。\" Infosys旗下的公司Fluido一直是这一合作的关键推动者，支持salesforce驱动的转型，并确保为客户带来有影响力的结果。","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/4797120_ZH97120_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":["IE00B7N09G41.SGD","LU1323998911.USD","BK4523","IE00B3M56506.USD","IE00B0JY6M65.USD","BK4588","BK4533","LU1366334651.USD","LU0890818403.SGD","LU0431992006.USD","LU0531971678.HKD","LU2087589342.USD","LU1267930656.SGD","LU0348744763.USD","LU0791590937.USD","LU0708995666.HKD","LU1804176565.USD","LU0831103253.SGD","LU0164881194.USD","LU0898667661.SGD","BK4585","LU0197229882.USD","BK4535","LU0066902890.USD","LU1102505762.USD","INFY","LU0862451753.SGD","LU1805238398.USD","LU2663582299.SGD","IE00BYTNYM70.SGD","LU0791591158.USD","LU0231203729.USD","LU0333810181.USD","LU2265009873.SGD","LU1366334578.USD","LU1508157978.USD","LU0536402901.SGD","LU0287143357.SGD","LU0868486357.SGD","BK4134"],"gpt_icon":0}],"pageSize":20,"totalPage":2,"pageCount":1,"totalSize":24,"code":"91000000","status":"200"}]}}