ENG/中
老虎證券
市场
行情
24/7新闻
产品
Cash Boost账户
期权
A股通
港股
固定票息票据
美股
ETF
基金超市
美国国债
新加坡股
期货
Tiger BOSS Debit Card
老虎钱袋子
功能
经纪人
定投
CPF/SRS 投资
专栏
美股碎股
TigerAI
费用
综合账户
股票与ETF
期权、窝轮与牛熊证
期货
债券
基金超市
Cash Boost
股票与ETF
融资利率
活动
帮助
账户操作
如何开户
开户文件
账户类型
资金与转仓
入金
DDA快捷入金
出金
转入股票
转出股票
货币兑换
产品与交易
可交易产品
订单类型
交易规则
申报
融资融券
保证金与杠杆
风险管理
做空风险
基金超市
基金开户与交易
Cash Boost账户
Cash Boost 账户FAQ
如何开通 Cash Boost 账户
如何用Cash Boost 账户交易
如何绑定CDP证券账户
Tiger Boss Debit Card
常见问题
费用说明
如何充值
如何使用我的Debit card
账单报表
账单报表
股息(分红)
机构
Tiger Fund Management
机构服务
财富及资产管理人
自营交易机构
介绍经纪商
三方服务商
老虎API平台
登入
立即註冊
Toggle
美股
詳情
本頁面由Tiger Trade Technology Pte. Ltd.提供服務
輝盛研究系統
225.09
+0.9650
0.43%
成交量:
25.27萬
成交額:
5,696.73萬
市值:
82.00億
市盈率:
14.48
高:
229.62
開:
224.25
低:
222.90
收:
224.12
52周最高:
474.79
52周最低:
185.00
股本:
3,643.11萬
流通股本:
3,628.58萬
量比:
0.45
換手率:
0.70%
股息:
4.40
股息率:
1.95%
每股收益(TTM):
15.54
每股收益(LYR):
15.55
淨資產收益率:
28.08%
總資產收益率:
10.91%
市淨率:
3.85
市盈率(LYR):
14.47
資料載入中...
總覽
公司
新聞資訊
公告
BUZZ-FactSet 宣佈首席財務官離職後股價走低
路透中文
·
04/08
Factset(FDS)2026財年Q2營收6.11億美元增7.1%,經營利潤率降至30.3%
金吾财讯
·
04/08
美國研究綜述-Asana、PPG Industries、威瑞信
路透中文
·
04/01
異動解讀 | 輝盛研究系統盤中大漲6.86%,因上調2026年業績展望
异动解读
·
03/31
BUZZ--美國股票走勢-史賽克、TD Synnex、Factset
路透中文
·
03/31
BUZZ-FactSet 上調 2026 年業績展望後股價攀升
路透中文
·
03/31
客户增長提振業績,FactSet 上調 2026 年展望,股價上漲
路透中文
·
03/31
輝盛研究系統攜手Finster AI推出全新AI原生解決方案,加速銀行業創新
美股速递
·
03/31
財報前瞻|輝盛研究系統本季營收預計增5.94%,機構普遍偏多
财报Agent
·
03/24
美國研究綜述-Factset、Lensar、星巴克
路透中文
·
03/18
輝盛研究系統任命首席人工智能官與首席技術官,加速企業AI與平台戰略佈局
投资观察
·
03/04
BUZZ-凱普斯通銅業澳交所股價因業績不及預期下跌
路透中文
·
03/03
美國股市:華爾街強勢反彈,受助於科技股重拾活力和AI擔憂緩解
路透中文
·
02/25
BUZZ--美國股票走勢-Henry Schein、多米諾比薩、FactSet
路透中文
·
02/25
湯森路透、輝盛研究系統與Anthropic合作開發新型AI工具
老虎资讯综合
·
02/24
Anthropic在引發市場暴跌的法律插件發布數周後,力推新的AI工具
老虎资讯综合
·
02/24
BUZZ-Anthropic 與 FactSet 聯合開發新的人工智能工具,FactSet 因此上漲
路透中文
·
02/24
湯森路透與輝盛研究系統聯手Anthropic開發新AI工具,在美上市股票雙雙上漲3%
美股速递
·
02/24
在法律插件引發市場重挫數周後,Anthropic公司吹捧新的人工智能工具
路透中文
·
02/24
BUZZ-FactSet 下跌,富國銀行下調 PT,原因是人工智能驅動的競爭加劇
路透中文
·
02/18
更多
{"basename":"/hant","ssrTDKData":{"titleTemplate":"%s - 老虎證券","title":"老虎证券全球投资理财平台| 一站式投资美股新股港股A股","description":"老虎证券助您一站式投资美股,新股,港股,A股等全球金融理财产品。新加坡华人最信赖的在线投资平台,现在加入即享低费用,24/5 无时差炒美股投资理财!","keywords":"老虎證券,老虎證券開戶,老虎券商,老虎證券官網,老虎證券app,tigertrade老虎證券,股票,炒股,新加坡股票交易平臺,投資,投資理財","social":{"ogDescription":"老虎证券助您一站式投资美股,新股,港股,A股等全球金融理财产品。新加坡华人最信赖的在线投资平台,现在加入即享低费用,24/5 无时差炒美股投资理财!","ogImage":"https://c1.itigergrowtha.com/portal5/static/media/og-logo.be62fbe1.png","ogUrl":"https://www.itiger.com/hant/stock/FDS/news"},"companyName":"老虎證券"},"pageData":{"isMobile":false,"isTiger":false,"isTTM":true,"region":"SGP","license":"TBSG","edition":"fundamental","symbol":"FDS","isAnalysisPage":false},"__swrFallback__":{"@#url:\"https://hq.skytigris.cn/stock_info/detail/global\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"FDS\",,,,,undefined,":{"symbol":"FDS","market":"US","secType":"STK","nameCN":"輝盛研究系統","latestPrice":225.085,"timestamp":1777312170621,"preClose":224.12,"halted":0,"volume":252656,"delay":0,"changeRate":0.004305729073710528,"floatShares":36285800,"shares":36431127,"eps":15.543693,"marketStatus":"交易中","change":0.965,"latestTime":"04-27 13:49:38 EDT","open":224.252,"high":229.62,"low":222.9,"amount":56967305.886240005,"amplitude":0.029984,"askPrice":225.27,"askSize":2,"bidPrice":225.03,"bidSize":40,"shortable":3,"etf":0,"ttmEps":15.543693,"tradingStatus":2,"nextMarketStatus":{"tag":"盤後交易","tradingStatus":3,"beginTime":1777320000000},"marketStatusCode":2,"adr":0,"adrRate":0,"listingDate":835934400000,"exchange":"NYSE","adjPreClose":224.12,"dividendRate":0.019548,"preHourTrading":{"tag":"盘前","latestPrice":224.2,"preClose":224.12,"latestTime":"08:29 EDT","volume":22,"amount":4917.89122,"timestamp":1777292992565,"change":0.08,"changeRate":0.000357,"amplitude":0.00879},"postHourTrading":{"tag":"盘后","latestPrice":224.23,"preClose":224.12,"latestTime":"19:18 EDT","volume":14153,"amount":3171934.82,"timestamp":1777072724389,"change":0.11,"changeRate":0.000491,"amplitude":0.000491},"volumeRatio":0.454774,"impliedVol":0.5203,"impliedVolPercentile":0.8287},"@#url:\"https://hq.skytigris.cn/stock_info/fundamental/all\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"FDS\",,,,,undefined,":{"symbol":"FDS","floatShares":36285800,"roa":"10.91%","roe":"28.08%","lyrEps":15.55,"volumeRatio":0.454774,"shares":36431127,"dividePrice":4.4,"high":229.62,"amplitude":0.029984,"preClose":224.12,"low":222.9,"week52Low":185,"pbRate":"3.85","psRate":"3.42","week52High":474.79,"institutionHeld":0.9578,"latestPrice":225.085,"committee":0.904762,"eps":15.543693,"divideRate":0.019548,"volume":252656,"delay":0,"ttmEps":15.543693,"open":224.252,"prevYearClose":290.19,"prevWeekClose":224.12,"prevMonthClose":216.99,"prevQuarterClose":216.99,"fiveDayClose":235.88,"twentyDayClose":198.33,"sixtyDayClose":252.79,"dividendPayoutRate":0.2718657389777658,"dividendFrequency":"Q","dividendGrowthYears":9,"dividendGrowthRate":0.05940594059405946,"fiveYearAvgDividendRate":0.009159861291615685},"@#url:\"https://hq.skytigris.cn/fundamental/corporate_actions/details/FDS\",params:#limit:5,,,undefined,":[{"market":"US","date":"2026-03-31","symbol":"FDS","fiscalQuarterEnding":"2026/02","expectedEps":4.37,"name":null,"time":"盤前","type":"earning","dateTimestamp":1774929600000,"reportTimeType":"pre","actualEps":4.46},{"date":"2026-02-27","symbol":"FDS","amount":1.1,"announcedDate":"2026-02-05","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2026-02-27","defaultRemindTime":1772202600000,"name":"辉盛研究系统","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2026-03-19","payableDate":"2026-02-27","currency":"USD","dateTimestamp":1772168400000,"payDate":"2026-03-19"},{"market":"US","date":"2025-12-18","symbol":"FDS","fiscalQuarterEnding":"2025/11","expectedEps":4.39,"name":null,"time":"盤前","type":"earning","dateTimestamp":1766034000000,"reportTimeType":"pre","actualEps":4.51},{"date":"2025-11-28","symbol":"FDS","amount":1.1,"announcedDate":"2025-11-06","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2025-11-28","defaultRemindTime":1764340200000,"name":"辉盛研究系统","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2025-12-18","payableDate":"2025-11-28","currency":"USD","dateTimestamp":1764306000000,"payDate":"2025-12-18"},{"market":"US","date":"2025-09-18","symbol":"FDS","fiscalQuarterEnding":"2025/08","expectedEps":4.15,"name":null,"time":"盤前","type":"earning","dateTimestamp":1758168000000,"reportTimeType":"pre","actualEps":4.05}],"@#url:\"https://hq.skytigris.cn/fundamental/dividend/history\",params:#symbol:\"FDS\",market:\"US\",,,undefined,":[{"executeDate":"2016-05-26","recordDate":"2016-05-31","paymentDate":"2016-06-21","value":0.5,"currency":"USD"},{"executeDate":"2016-08-29","recordDate":"2016-08-31","paymentDate":"2016-09-20","value":0.5,"currency":"USD"},{"executeDate":"2016-11-28","recordDate":"2016-11-30","paymentDate":"2016-12-20","value":0.5,"currency":"USD"},{"executeDate":"2017-02-24","recordDate":"2017-02-28","paymentDate":"2017-03-21","value":0.5,"currency":"USD"},{"executeDate":"2017-05-26","recordDate":"2017-05-31","paymentDate":"2017-06-20","value":0.56,"currency":"USD"}],"@#url:\"https://hq.skytigris.cn/fundamental/estimate/recommendation\",params:#symbol:\"FDS\",market:\"US\",delay:false,,,undefined,":{"strongBuy":0,"buy":0.15,"hold":0.6,"sell":0.2,"strongSell":0.05,"meanLabel":"HOLD","meanPercent":0.6,"analysts":20,"updateTime":1771387200000},"@#url:\"https://hq.skytigris.cn/value_analysis/stock/FDS\",params:#withQuantilePoint:true,period:\"5year\",factor:\"peRate\",delay:false,algorithm:1,,,undefined,":{"brief":{"id":"FDS","date":"2026-04-24","current":14.50524,"percent":0.037582,"low":11.759688,"twenty":30.292777,"median":33.908905,"eighty":38.108957,"high":45.320047,"avg":32.91147,"sd":7.429344,"marketCap":8309211446},"quantilePoints":[{"date":"2021-04-30","current":32.788494,"twenty":27.480455,"median":30.199154,"eighty":32.614548,"marketCap":12726657269},{"date":"2021-05-07","current":32.869437,"twenty":27.515371,"median":30.210059,"eighty":32.679012,"marketCap":12758074572},{"date":"2021-05-14","current":32.270658,"twenty":27.520199,"median":30.244604,"eighty":32.682251,"marketCap":12525662236},{"date":"2021-05-21","current":32.0015,"twenty":27.523152,"median":30.320795,"eighty":32.682251,"marketCap":12421190241},{"date":"2021-05-28","current":32.607105,"twenty":27.523152,"median":30.333022,"eighty":32.682251,"marketCap":12656252229},{"date":"2021-06-04","current":31.735268,"twenty":27.523152,"median":30.354371,"eighty":32.682251,"marketCap":12317853812},{"date":"2021-06-11","current":32.02588,"twenty":27.523152,"median":30.368024,"eighty":32.682251,"marketCap":12430653284},{"date":"2021-06-18","current":31.727466,"twenty":27.523152,"median":30.384011,"eighty":32.682251,"marketCap":12314825638},{"date":"2021-06-25","current":32.384757,"twenty":27.523152,"median":30.412562,"eighty":32.682251,"marketCap":12569949277},{"date":"2021-07-02","current":32.990312,"twenty":27.523847,"median":30.450646,"eighty":32.716538,"marketCap":12787275766},{"date":"2021-07-09","current":33.45134,"twenty":27.523847,"median":30.486489,"eighty":32.772169,"marketCap":12965973477},{"date":"2021-07-16","current":33.254453,"twenty":27.523847,"median":30.537157,"eighty":32.788494,"marketCap":12889658598},{"date":"2021-07-23","current":33.649202,"twenty":27.523847,"median":30.567498,"eighty":32.805779,"marketCap":13042666152},{"date":"2021-07-30","current":34.823702,"twenty":27.524046,"median":30.572755,"eighty":32.81951,"marketCap":13497910851},{"date":"2021-08-06","current":35.302275,"twenty":27.524046,"median":30.616652,"eighty":32.862138,"marketCap":13683408898},{"date":"2021-08-13","current":35.880266,"twenty":27.524046,"median":30.670104,"eighty":32.877205,"marketCap":13907442181},{"date":"2021-08-20","current":35.964089,"twenty":27.524046,"median":30.713903,"eighty":32.913864,"marketCap":13939932674},{"date":"2021-08-27","current":36.704853,"twenty":27.524046,"median":30.716951,"eighty":32.956534,"marketCap":14227057960},{"date":"2021-09-03","current":37.614238,"twenty":27.524046,"median":30.716951,"eighty":32.988119,"marketCap":14579542030},{"date":"2021-09-10","current":37.429047,"twenty":27.524046,"median":30.717205,"eighty":33.030697,"marketCap":14507760708},{"date":"2021-09-17","current":36.867626,"twenty":27.524046,"median":30.738854,"eighty":33.067739,"marketCap":14290149964},{"date":"2021-09-24","current":36.334471,"twenty":27.524046,"median":30.753893,"eighty":33.098502,"marketCap":14083495317},{"date":"2021-10-01","current":37.263422,"twenty":27.524845,"median":30.779615,"eighty":33.146471,"marketCap":14890090695},{"date":"2021-10-08","current":37.925244,"twenty":27.554568,"median":30.805185,"eighty":33.187823,"marketCap":15154548196},{"date":"2021-10-15","current":39.226197,"twenty":27.603237,"median":30.846926,"eighty":33.221118,"marketCap":15674396084},{"date":"2021-10-22","current":40.746497,"twenty":27.643396,"median":30.859947,"eighty":33.259979,"marketCap":16281892743},{"date":"2021-10-29","current":41.813609,"twenty":27.696244,"median":30.908385,"eighty":33.323702,"marketCap":16708300138},{"date":"2021-11-05","current":42.098795,"twenty":27.745628,"median":30.947299,"eighty":33.360711,"marketCap":16822257618},{"date":"2021-11-12","current":43.019147,"twenty":27.806993,"median":30.977312,"eighty":33.400445,"marketCap":17190021003},{"date":"2021-11-19","current":43.445881,"twenty":27.85983,"median":31.018394,"eighty":33.411807,"marketCap":17360539748},{"date":"2021-11-26","current":43.190594,"twenty":27.923547,"median":31.043466,"eighty":33.451091,"marketCap":17258529638},{"date":"2021-12-03","current":43.933847,"twenty":27.955788,"median":31.085198,"eighty":33.475757,"marketCap":17555525862},{"date":"2021-12-10","current":43.904644,"twenty":27.962874,"median":31.099733,"eighty":33.552692,"marketCap":17543856809},{"date":"2021-12-17","current":44.568767,"twenty":27.962874,"median":31.143142,"eighty":33.604503,"marketCap":17809233663},{"date":"2021-12-23","current":44.454159,"twenty":27.969668,"median":31.15667,"eighty":33.656493,"marketCap":18049766727},{"date":"2021-12-31","current":45.056758,"twenty":27.988545,"median":31.194582,"eighty":33.710849,"marketCap":18294440423},{"date":"2022-01-07","current":41.133388,"twenty":27.996805,"median":31.227048,"eighty":33.782679,"marketCap":16701430647},{"date":"2022-01-14","current":39.759389,"twenty":28.055045,"median":31.246966,"eighty":33.855856,"marketCap":16143544580},{"date":"2022-01-21","current":39.108695,"twenty":28.09913,"median":31.271304,"eighty":33.894611,"marketCap":15879342439},{"date":"2022-01-28","current":38.367704,"twenty":28.131876,"median":31.317174,"eighty":33.96441,"marketCap":15578477053},{"date":"2022-02-04","current":39.123589,"twenty":28.155115,"median":31.332724,"eighty":34.025625,"marketCap":15885389984},{"date":"2022-02-11","current":37.892948,"twenty":28.167861,"median":31.350614,"eighty":34.042753,"marketCap":15385711542},{"date":"2022-02-18","current":37.515936,"twenty":28.167861,"median":31.375903,"eighty":34.084936,"marketCap":15232633048},{"date":"2022-02-25","current":37.862228,"twenty":28.167861,"median":31.390697,"eighty":34.118662,"marketCap":15373238480},{"date":"2022-03-04","current":38.450553,"twenty":28.167861,"median":31.444159,"eighty":34.178215,"marketCap":15612116524},{"date":"2022-03-11","current":37.960903,"twenty":28.167861,"median":31.486783,"eighty":34.279251,"marketCap":15413303468},{"date":"2022-03-18","current":40.880185,"twenty":28.167861,"median":31.526802,"eighty":34.348968,"marketCap":16598622374},{"date":"2022-03-25","current":37.333309,"twenty":28.167861,"median":31.550196,"eighty":34.424974,"marketCap":15654827314},{"date":"2022-04-01","current":38.679969,"twenty":28.201707,"median":31.581555,"eighty":34.526085,"marketCap":16219516870},{"date":"2022-04-08","current":39.824721,"twenty":28.294677,"median":31.598009,"eighty":34.635297,"marketCap":16699540789},{"date":"2022-04-14","current":37.909291,"twenty":28.369484,"median":31.612451,"eighty":34.704328,"marketCap":15896351160},{"date":"2022-04-22","current":38.610903,"twenty":28.43995,"median":31.628344,"eighty":34.846404,"marketCap":16190555446},{"date":"2022-04-29","current":36.465401,"twenty":28.561261,"median":31.674504,"eighty":34.980071,"marketCap":15290890660},{"date":"2022-05-06","current":34.177106,"twenty":28.613391,"median":31.686185,"eighty":35.020162,"marketCap":14331349280},{"date":"2022-05-13","current":33.602321,"twenty":28.713778,"median":31.703702,"eighty":35.020162,"marketCap":14090327037},{"date":"2022-05-20","current":32.948007,"twenty":28.838841,"median":31.731367,"eighty":35.020162,"marketCap":13815955806},{"date":"2022-05-27","current":35.066396,"twenty":28.886401,"median":31.744519,"eighty":35.052994,"marketCap":14704251617},{"date":"2022-06-03","current":34.281038,"twenty":28.922106,"median":31.760053,"eighty":35.052994,"marketCap":14374930346},{"date":"2022-06-10","current":32.800695,"twenty":28.948401,"median":31.77813,"eighty":35.052994,"marketCap":13754184382},{"date":"2022-06-17","current":31.570692,"twenty":28.999383,"median":31.798078,"eighty":35.052994,"marketCap":13238411942},{"date":"2022-06-24","current":37.796724,"twenty":29.044477,"median":31.831499,"eighty":35.117376,"marketCap":14875165189},{"date":"2022-07-01","current":37.958495,"twenty":29.076932,"median":31.84114,"eighty":35.175338,"marketCap":14938831441},{"date":"2022-07-08","current":38.673948,"twenty":29.108851,"median":31.858878,"eighty":35.226661,"marketCap":15220403023},{"date":"2022-07-15","current":38.599484,"twenty":29.143024,"median":31.901337,"eighty":35.304505,"marketCap":15191097207},{"date":"2022-07-22","current":39.376338,"twenty":29.198173,"median":31.937136,"eighty":35.388501,"marketCap":15496833325},{"date":"2022-07-29","current":41.465639,"twenty":29.262411,"median":31.954147,"eighty":35.482558,"marketCap":16319092574},{"date":"2022-08-05","current":40.850912,"twenty":29.371169,"median":31.966691,"eighty":35.553274,"marketCap":16077162255},{"date":"2022-08-12","current":42.564814,"twenty":29.418044,"median":31.984922,"eighty":35.725035,"marketCap":16751680696},{"date":"2022-08-19","current":43.076283,"twenty":29.519028,"median":32.025341,"eighty":35.803559,"marketCap":16952972799},{"date":"2022-08-26","current":42.955654,"twenty":29.581464,"median":32.038558,"eighty":35.852527,"marketCap":16905498247},{"date":"2022-09-02","current":41.538982,"twenty":29.676335,"median":32.06288,"eighty":35.920268,"marketCap":16347957102},{"date":"2022-09-09","current":43.752773,"twenty":29.707263,"median":32.083145,"eighty":35.99314,"marketCap":17219210089},{"date":"2022-09-16","current":43.042507,"twenty":29.753251,"median":32.110507,"eighty":36.035446,"marketCap":16939679924},{"date":"2022-09-23","current":37.573261,"twenty":29.807214,"median":32.149732,"eighty":36.090949,"marketCap":14913466024},{"date":"2022-09-30","current":38.285169,"twenty":29.865855,"median":32.16103,"eighty":36.219,"marketCap":15196034560},{"date":"2022-10-07","current":39.584593,"twenty":29.892878,"median":32.20797,"eighty":36.368992,"marketCap":15711798098},{"date":"2022-10-14","current":37.756022,"twenty":29.931637,"median":32.24593,"eighty":36.466265,"marketCap":14986007140},{"date":"2022-10-21","current":39.055414,"twenty":29.958274,"median":32.265869,"eighty":36.52268,"marketCap":15501757601},{"date":"2022-10-28","current":41.291729,"twenty":29.973115,"median":32.299496,"eighty":36.723469,"marketCap":16389389254},{"date":"2022-11-04","current":39.185889,"twenty":30.01261,"median":32.360852,"eighty":36.915092,"marketCap":15553545634},{"date":"2022-11-11","current":40.412937,"twenty":30.042747,"median":32.381355,"eighty":37.195368,"marketCap":16040581620},{"date":"2022-11-18","current":41.998792,"twenty":30.078991,"median":32.402311,"eighty":37.29354,"marketCap":16670034697},{"date":"2022-11-25","current":43.707449,"twenty":30.098061,"median":32.429114,"eighty":37.35445,"marketCap":17348229452},{"date":"2022-12-02","current":45.201204,"twenty":30.107533,"median":32.470494,"eighty":37.431294,"marketCap":17941126271},{"date":"2022-12-09","current":43.147171,"twenty":30.107533,"median":32.488306,"eighty":37.538866,"marketCap":17125845546},{"date":"2022-12-16","current":41.097934,"twenty":30.107533,"median":32.527929,"eighty":37.63043,"marketCap":16312468793},{"date":"2022-12-23","current":35.574459,"twenty":30.150131,"median":32.575144,"eighty":37.651713,"marketCap":15157138705},{"date":"2022-12-30","current":35.875461,"twenty":30.18159,"median":32.628457,"eighty":37.651713,"marketCap":15285386043},{"date":"2023-01-06","current":36.31189,"twenty":30.199749,"median":32.676198,"eighty":37.651713,"marketCap":15471334352},{"date":"2023-01-13","current":37.82915,"twenty":30.236832,"median":32.709919,"eighty":37.668729,"marketCap":16117790246},{"date":"2023-01-20","current":38.044619,"twenty":30.252744,"median":32.721297,"eighty":37.759407,"marketCap":16209594633},{"date":"2023-01-27","current":38.195447,"twenty":30.330641,"median":32.780691,"eighty":37.782063,"marketCap":16273857704},{"date":"2023-02-03","current":38.385778,"twenty":30.351717,"median":32.799607,"eighty":37.832382,"marketCap":16354951579},{"date":"2023-02-10","current":38.453112,"twenty":30.368053,"median":32.811208,"eighty":37.879543,"marketCap":16383640450},{"date":"2023-02-17","current":38.715266,"twenty":30.395256,"median":32.831629,"eighty":37.910912,"marketCap":16495335788},{"date":"2023-02-24","current":37.831843,"twenty":30.412093,"median":32.864577,"eighty":37.921455,"marketCap":16118937800},{"date":"2023-03-03","current":37.814785,"twenty":30.439649,"median":32.891077,"eighty":37.921455,"marketCap":16111669953},{"date":"2023-03-10","current":35.519144,"twenty":30.439649,"median":32.914802,"eighty":37.921455,"marketCap":15133570711},{"date":"2023-03-17","current":36.433091,"twenty":30.439649,"median":32.961977,"eighty":37.921455,"marketCap":15522974320},{"date":"2023-03-24","current":34.077151,"twenty":30.457144,"median":32.990312,"eighty":37.921455,"marketCap":15257124116},{"date":"2023-03-31","current":35.463783,"twenty":30.460374,"median":33.033733,"eighty":37.920192,"marketCap":15877951284},{"date":"2023-04-05","current":35.071183,"twenty":30.460374,"median":33.061187,"eighty":37.920192,"marketCap":15702175368},{"date":"2023-04-14","current":35.712233,"twenty":30.468898,"median":33.092762,"eighty":37.922718,"marketCap":15989188311},{"date":"2023-04-21","current":35.664304,"twenty":30.50566,"median":33.123908,"eighty":37.922718,"marketCap":15967729399},{"date":"2023-04-28","current":35.104562,"twenty":30.567212,"median":33.168079,"eighty":37.922718,"marketCap":15717119967},{"date":"2023-05-05","current":33.807912,"twenty":30.587296,"median":33.193742,"eighty":37.922718,"marketCap":15136579769},{"date":"2023-05-12","current":34.258102,"twenty":30.625579,"median":33.232219,"eighty":37.922718,"marketCap":15338140260},{"date":"2023-05-19","current":33.682954,"twenty":30.625579,"median":33.26492,"eighty":37.922718,"marketCap":15080633321},{"date":"2023-05-26","current":32.957172,"twenty":30.625579,"median":33.288965,"eighty":37.922718,"marketCap":14755684088},{"date":"2023-06-02","current":33.403939,"twenty":30.625579,"median":33.31716,"eighty":37.922718,"marketCap":14955711800},{"date":"2023-06-09","current":34.53027,"twenty":30.625579,"median":33.359701,"eighty":37.922718,"marketCap":15459996223},{"date":"2023-06-16","current":36.145306,"twenty":30.625579,"median":33.38442,"eighty":37.922718,"marketCap":16183084905},{"date":"2023-06-23","current":30.517344,"twenty":30.606145,"median":33.373609,"eighty":37.923981,"marketCap":15486819862},{"date":"2023-06-30","current":29.867959,"twenty":30.603518,"median":33.38442,"eighty":37.925244,"marketCap":15157272291},{"date":"2023-07-07","current":29.405933,"twenty":30.603518,"median":33.38442,"eighty":37.925244,"marketCap":14922805176},{"date":"2023-07-14","current":31.107749,"twenty":30.598111,"median":33.395231,"eighty":37.931894,"marketCap":15786435823},{"date":"2023-07-21","current":32.292405,"twenty":30.69365,"median":33.39849,"eighty":37.938544,"marketCap":16387620408},{"date":"2023-07-28","current":32.731389,"twenty":30.754339,"median":33.39849,"eighty":37.938544,"marketCap":16610394391},{"date":"2023-08-04","current":32.400647,"twenty":30.858981,"median":33.39849,"eighty":37.938544,"marketCap":16442550979},{"date":"2023-08-11","current":31.75044,"twenty":30.858981,"median":33.39849,"eighty":37.938544,"marketCap":16112586089},{"date":"2023-08-18","current":32.351788,"twenty":30.858981,"median":33.39849,"eighty":37.938544,"marketCap":16417755929},{"date":"2023-08-25","current":33.109487,"twenty":30.858772,"median":33.401749,"eighty":37.945195,"marketCap":16802269928},{"date":"2023-09-01","current":32.804303,"twenty":30.858772,"median":33.361385,"eighty":37.945195,"marketCap":16647396234},{"date":"2023-09-08","current":32.391627,"twenty":30.858772,"median":33.296955,"eighty":37.945195,"marketCap":16437973431},{"date":"2023-09-15","current":32.447252,"twenty":30.858563,"median":33.257907,"eighty":37.951845,"marketCap":16466201641},{"date":"2023-09-22","current":34.77484,"twenty":30.858563,"median":33.243573,"eighty":37.951845,"marketCap":16279285114},{"date":"2023-09-29","current":36.005275,"twenty":30.858563,"median":33.26492,"eighty":37.951845,"marketCap":16855293187},{"date":"2023-10-06","current":36.602565,"twenty":30.858354,"median":33.306256,"eighty":37.958495,"marketCap":17134905053},{"date":"2023-10-12","current":37.228375,"twenty":30.859399,"median":33.367136,"eighty":37.958495,"marketCap":17427868100},{"date":"2023-10-20","current":35.598661,"twenty":30.863196,"median":33.403266,"eighty":37.958977,"marketCap":16664943500},{"date":"2023-10-27","current":34.962257,"twenty":30.866001,"median":33.409745,"eighty":37.960421,"marketCap":16367021443},{"date":"2023-11-03","current":35.885825,"twenty":30.880856,"median":33.45613,"eighty":37.960421,"marketCap":16800774550},{"date":"2023-11-10","current":36.396208,"twenty":30.880856,"median":33.508641,"eighty":37.960421,"marketCap":17039721938},{"date":"2023-11-17","current":37.672571,"twenty":30.880856,"median":33.541465,"eighty":37.960421,"marketCap":17637280351},{"date":"2023-11-24","current":37.334209,"twenty":30.880856,"median":33.602321,"eighty":37.960421,"marketCap":17478868490},{"date":"2023-12-01","current":36.794615,"twenty":30.880856,"median":33.649885,"eighty":37.960421,"marketCap":17226245257},{"date":"2023-12-08","current":35.876088,"twenty":30.887738,"median":33.684133,"eighty":37.95994,"marketCap":16796215935},{"date":"2023-12-15","current":36.838432,"twenty":30.887738,"median":33.710303,"eighty":37.95994,"marketCap":17246759024},{"date":"2023-12-22","current":37.216703,"twenty":31.016893,"median":33.794771,"eighty":37.95994,"marketCap":17861412242},{"date":"2023-12-29","current":37.739912,"twenty":31.057628,"median":33.821314,"eighty":37.960421,"marketCap":18112515936},{"date":"2024-01-05","current":36.26527,"twenty":31.094555,"median":33.85946,"eighty":37.960903,"marketCap":17404791000},{"date":"2024-01-12","current":36.898396,"twenty":31.135514,"median":33.899798,"eighty":37.960903,"marketCap":17708646964},{"date":"2024-01-19","current":36.598421,"twenty":31.192661,"median":33.954304,"eighty":37.962922,"marketCap":17564680417},{"date":"2024-01-26","current":37.384068,"twenty":31.227048,"median":34.021033,"eighty":37.960903,"marketCap":17941735659},{"date":"2024-02-02","current":38.45461,"twenty":31.260341,"median":34.028728,"eighty":37.974188,"marketCap":18455521033},{"date":"2024-02-09","current":37.303122,"twenty":31.315612,"median":34.041045,"eighty":37.980452,"marketCap":17902887543},{"date":"2024-02-16","current":36.823799,"twenty":31.334935,"median":34.066989,"eighty":37.980452,"marketCap":17672845759},{"date":"2024-02-23","current":36.415104,"twenty":31.353686,"median":34.08417,"eighty":37.980452,"marketCap":17476700861},{"date":"2024-03-01","current":36.709523,"twenty":31.375025,"median":34.11371,"eighty":37.979432,"marketCap":17618001361},{"date":"2024-03-08","current":37.080919,"twenty":31.377831,"median":34.145475,"eighty":37.979432,"marketCap":17796245656},{"date":"2024-03-15","current":38.003062,"twenty":31.37981,"median":34.211631,"eighty":38.005081,"marketCap":18238809485},{"date":"2024-03-22","current":35.080357,"twenty":31.37981,"median":34.258102,"eighty":38.026422,"marketCap":17164011616},{"date":"2024-03-28","current":34.825034,"twenty":31.38999,"median":34.290555,"eighty":38.026422,"marketCap":17039088263},{"date":"2024-04-05","current":33.754314,"twenty":31.470791,"median":34.310916,"eighty":38.031631,"marketCap":16515209713},{"date":"2024-04-12","current":33.285342,"twenty":31.514659,"median":34.310916,"eighty":38.031631,"marketCap":16285752393},{"date":"2024-04-19","current":33.455948,"twenty":31.514659,"median":34.310916,"eighty":38.031631,"marketCap":16369226069},{"date":"2024-04-26","current":32.618498,"twenty":31.51557,"median":34.30014,"eighty":38.026422,"marketCap":15959480854},{"date":"2024-05-03","current":32.980744,"twenty":31.51557,"median":34.30014,"eighty":38.026422,"marketCap":16136719482},{"date":"2024-05-10","current":33.963872,"twenty":31.51557,"median":34.298073,"eighty":38.026422,"marketCap":16617741307},{"date":"2024-05-17","current":34.70706,"twenty":31.51557,"median":34.321691,"eighty":38.026422,"marketCap":16981366363},{"date":"2024-05-24","current":33.993475,"twenty":31.51557,"median":34.365751,"eighty":38.026422,"marketCap":16632225324},{"date":"2024-05-31","current":31.666531,"twenty":31.51557,"median":34.365751,"eighty":38.026422,"marketCap":15493705362},{"date":"2024-06-07","current":31.947759,"twenty":31.494599,"median":34.30014,"eighty":38.026422,"marketCap":15631303523},{"date":"2024-06-14","current":31.378292,"twenty":31.471806,"median":34.280207,"eighty":38.031631,"marketCap":15352676776},{"date":"2024-06-21","current":31.81143,"twenty":31.464784,"median":34.252111,"eighty":38.034229,"marketCap":15564600813},{"date":"2024-06-28","current":30.849541,"twenty":31.413673,"median":34.248171,"eighty":38.042021,"marketCap":15818071110},{"date":"2024-07-05","current":30.980372,"twenty":31.38999,"median":34.241395,"eighty":38.042021,"marketCap":15885154977},{"date":"2024-07-12","current":31.092327,"twenty":31.377551,"median":34.241395,"eighty":38.042021,"marketCap":15942559389},{"date":"2024-07-15","current":31.448431,"twenty":31.377551,"median":34.228991,"eighty":38.042021,"marketCap":16125151337},{"date":"2024-08-02","current":30.32151,"twenty":31.33097,"median":34.279376,"eighty":38.091983,"marketCap":15547323904},{"date":"2024-08-09","current":29.955762,"twenty":31.307965,"median":34.279376,"eighty":38.091983,"marketCap":15359786758},{"date":"2024-08-16","current":30.322252,"twenty":31.247703,"median":34.279376,"eighty":38.091983,"marketCap":15547704304},{"date":"2024-08-23","current":30.268094,"twenty":31.220661,"median":34.279376,"eighty":38.091983,"marketCap":15519935112},{"date":"2024-08-30","current":30.98327,"twenty":31.152318,"median":34.279376,"eighty":38.091983,"marketCap":15886640606},{"date":"2024-09-06","current":31.679156,"twenty":31.152318,"median":34.279376,"eighty":38.091983,"marketCap":16243455702},{"date":"2024-09-13","current":32.63396,"twenty":31.155613,"median":34.279376,"eighty":38.091983,"marketCap":16733030361},{"date":"2024-09-20","current":33.249208,"twenty":31.155613,"median":34.279376,"eighty":38.091983,"marketCap":17859014035},{"date":"2024-09-27","current":32.271165,"twenty":31.194882,"median":34.279376,"eighty":38.091983,"marketCap":17333681787},{"date":"2024-10-04","current":32.513374,"twenty":31.239036,"median":34.279376,"eighty":38.091983,"marketCap":17463778550},{"date":"2024-10-11","current":32.155018,"twenty":31.322377,"median":34.279376,"eighty":38.091983,"marketCap":17271296205},{"date":"2024-10-18","current":33.460964,"twenty":31.37258,"median":34.279376,"eighty":38.091983,"marketCap":17972753602},{"date":"2024-10-25","current":32.339154,"twenty":31.387242,"median":34.279376,"eighty":38.091983,"marketCap":17370200177},{"date":"2024-10-31","current":32.095519,"twenty":31.445361,"median":34.279376,"eighty":38.091983,"marketCap":17239337861},{"date":"2024-11-08","current":33.5157,"twenty":31.512747,"median":34.280207,"eighty":38.09726,"marketCap":18002153868},{"date":"2024-11-15","current":35.060359,"twenty":31.553105,"median":34.294314,"eighty":38.09726,"marketCap":18831830243},{"date":"2024-11-22","current":34.356634,"twenty":31.59647,"median":34.314578,"eighty":38.09726,"marketCap":18453841235},{"date":"2024-11-29","current":34.703192,"twenty":31.624458,"median":34.381311,"eighty":38.09726,"marketCap":18639986576},{"date":"2024-12-06","current":33.83326,"twenty":31.64928,"median":34.405832,"eighty":38.09726,"marketCap":18172723782},{"date":"2024-12-13","current":34.557496,"twenty":31.679722,"median":34.435583,"eighty":38.09726,"marketCap":18561729555},{"date":"2024-12-20","current":34.542367,"twenty":31.697983,"median":34.486833,"eighty":38.09726,"marketCap":18604277061},{"date":"2024-12-27","current":34.67497,"twenty":31.719551,"median":34.524961,"eighty":38.09726,"marketCap":18675696090},{"date":"2025-01-03","current":33.609914,"twenty":31.735765,"median":34.524961,"eighty":38.09726,"marketCap":18102064530},{"date":"2025-01-10","current":32.336785,"twenty":31.782675,"median":34.53027,"eighty":38.102538,"marketCap":17416365878},{"date":"2025-01-17","current":32.478477,"twenty":31.823031,"median":34.53027,"eighty":38.102538,"marketCap":17492680258},{"date":"2025-01-24","current":32.789867,"twenty":31.847563,"median":34.53027,"eighty":38.102538,"marketCap":17660392761},{"date":"2025-01-31","current":33.336388,"twenty":31.904986,"median":34.53027,"eighty":38.102538,"marketCap":17954745317},{"date":"2025-02-07","current":33.135856,"twenty":31.944165,"median":34.53027,"eighty":38.102538,"marketCap":17846739986},{"date":"2025-02-14","current":32.437523,"twenty":31.968744,"median":34.53027,"eighty":38.102538,"marketCap":17470622831},{"date":"2025-02-21","current":32.913434,"twenty":31.987045,"median":34.53027,"eighty":38.102538,"marketCap":17726945341},{"date":"2025-02-28","current":32.107068,"twenty":32.026744,"median":34.53027,"eighty":38.102538,"marketCap":17292642216},{"date":"2025-03-07","current":31.188432,"twenty":32.037583,"median":34.530734,"eighty":38.107815,"marketCap":16797871318},{"date":"2025-03-14","current":30.18577,"twenty":32.037583,"median":34.530734,"eighty":38.107815,"marketCap":16257844665},{"date":"2025-03-21","current":30.208101,"twenty":32.037583,"median":34.530734,"eighty":38.107815,"marketCap":16388287722},{"date":"2025-03-28","current":31.490928,"twenty":32.037583,"median":34.530734,"eighty":38.107815,"marketCap":17084237564},{"date":"2025-04-04","current":30.644122,"twenty":32.037583,"median":34.530734,"eighty":38.107815,"marketCap":16624834608},{"date":"2025-04-11","current":29.146139,"twenty":32.03656,"median":34.53027,"eighty":38.102538,"marketCap":15812159181},{"date":"2025-04-17","current":29.883378,"twenty":32.03656,"median":34.53027,"eighty":38.102538,"marketCap":16212121162},{"date":"2025-04-25","current":29.947729,"twenty":32.037583,"median":34.530734,"eighty":38.107815,"marketCap":16247032454},{"date":"2025-05-02","current":30.069437,"twenty":32.037583,"median":34.530734,"eighty":38.107815,"marketCap":16313060333},{"date":"2025-05-09","current":31.370448,"twenty":32.037583,"median":34.530734,"eighty":38.107815,"marketCap":17018875593},{"date":"2025-05-16","current":32.833735,"twenty":32.043434,"median":34.530734,"eighty":38.107815,"marketCap":17812728026},{"date":"2025-05-23","current":32.454623,"twenty":32.068939,"median":34.530734,"eighty":38.107815,"marketCap":17607054977},{"date":"2025-05-30","current":32.565139,"twenty":32.083145,"median":34.530734,"eighty":38.107815,"marketCap":17667011327},{"date":"2025-06-06","current":30.180652,"twenty":32.071763,"median":34.530734,"eighty":38.107815,"marketCap":16373396154},{"date":"2025-06-13","current":29.669341,"twenty":32.068939,"median":34.530734,"eighty":38.107815,"marketCap":16096003167},{"date":"2025-06-20","current":29.730195,"twenty":32.071198,"median":34.531198,"eighty":38.108957,"marketCap":16129017107},{"date":"2025-06-27","current":31.119122,"twenty":32.060039,"median":34.531198,"eighty":38.108957,"marketCap":16584002320},{"date":"2025-07-03","current":31.895978,"twenty":32.052082,"median":34.531198,"eighty":38.108957,"marketCap":16998004712},{"date":"2025-07-11","current":31.922788,"twenty":32.035911,"median":34.487477,"eighty":38.108957,"marketCap":17012292164},{"date":"2025-07-18","current":30.971447,"twenty":31.999049,"median":34.407653,"eighty":38.108957,"marketCap":16505303325},{"date":"2025-07-25","current":29.899503,"twenty":31.975836,"median":34.354816,"eighty":38.108957,"marketCap":15934042970},{"date":"2025-08-01","current":28.582807,"twenty":31.942041,"median":34.298073,"eighty":38.108957,"marketCap":15232349244},{"date":"2025-08-08","current":27.431407,"twenty":31.923539,"median":34.258102,"eighty":38.108957,"marketCap":14618745302},{"date":"2025-08-15","current":26.600668,"twenty":31.895978,"median":34.238561,"eighty":38.108957,"marketCap":14176027979},{"date":"2025-08-22","current":26.742553,"twenty":31.850752,"median":34.211601,"eighty":38.108957,"marketCap":14251641527},{"date":"2025-08-29","current":26.658132,"twenty":31.834006,"median":34.152963,"eighty":38.108957,"marketCap":14206651465},{"date":"2025-09-05","current":26.211902,"twenty":31.806546,"median":34.124716,"eighty":38.110099,"marketCap":13968846857},{"date":"2025-09-12","current":26.284264,"twenty":31.760874,"median":34.116287,"eighty":38.108957,"marketCap":14007409767},{"date":"2025-09-19","current":19.074994,"twenty":31.727804,"median":34.116287,"eighty":38.108957,"marketCap":11388534532},{"date":"2025-09-26","current":17.975062,"twenty":31.705631,"median":34.104354,"eighty":38.108957,"marketCap":10731830867},{"date":"2025-10-03","current":17.849681,"twenty":31.680287,"median":34.09463,"eighty":38.108957,"marketCap":10656973455},{"date":"2025-10-10","current":17.925669,"twenty":31.65137,"median":34.09463,"eighty":38.108957,"marketCap":10702341583},{"date":"2025-10-17","current":17.604618,"twenty":31.607428,"median":34.077151,"eighty":38.108957,"marketCap":10510661239},{"date":"2025-10-24","current":17.995398,"twenty":31.575011,"median":34.077151,"eighty":38.108957,"marketCap":10743972549},{"date":"2025-10-31","current":16.878685,"twenty":31.548363,"median":34.077151,"eighty":38.108957,"marketCap":10077249947},{"date":"2025-11-07","current":15.911285,"twenty":31.499969,"median":34.070666,"eighty":38.108957,"marketCap":9499673400},{"date":"2025-11-14","current":17.437041,"twenty":31.456605,"median":34.047561,"eighty":38.108957,"marketCap":10410611248},{"date":"2025-11-21","current":17.130259,"twenty":31.410635,"median":34.047561,"eighty":38.108957,"marketCap":10227449814},{"date":"2025-11-28","current":17.395008,"twenty":31.379892,"median":34.047561,"eighty":38.108957,"marketCap":10385515510},{"date":"2025-12-05","current":17.481523,"twenty":31.36282,"median":34.027872,"eighty":38.108957,"marketCap":10437168549},{"date":"2025-12-12","current":18.273118,"twenty":31.271164,"median":33.968546,"eighty":38.108957,"marketCap":10909782340},{"date":"2025-12-19","current":17.061825,"twenty":31.22485,"median":33.908905,"eighty":38.108957,"marketCap":10230236303},{"date":"2025-12-26","current":18.104045,"twenty":31.192154,"median":33.908905,"eighty":38.108957,"marketCap":10855149234},{"date":"2026-01-02","current":18.110286,"twenty":31.132399,"median":33.908905,"eighty":38.108957,"marketCap":10858891227},{"date":"2026-01-09","current":18.201343,"twenty":31.10511,"median":33.908905,"eighty":38.108957,"marketCap":10913489020},{"date":"2026-01-16","current":17.923531,"twenty":31.05692,"median":33.908905,"eighty":38.108957,"marketCap":10746913347},{"date":"2026-01-23","current":17.868464,"twenty":31.01493,"median":33.908905,"eighty":38.108957,"marketCap":10713895006},{"date":"2026-01-30","current":15.641016,"twenty":30.980372,"median":33.908905,"eighty":38.108957,"marketCap":9378321682},{"date":"2026-02-06","current":12.94271,"twenty":30.952996,"median":33.908905,"eighty":38.108957,"marketCap":7760422997},{"date":"2026-02-13","current":12.495364,"twenty":30.859705,"median":33.908905,"eighty":38.108957,"marketCap":7492195355},{"date":"2026-02-20","current":12.305412,"twenty":30.801431,"median":33.908905,"eighty":38.108957,"marketCap":7378300629},{"date":"2026-02-27","current":13.257646,"twenty":30.801431,"median":33.908905,"eighty":38.108957,"marketCap":7949258225},{"date":"2026-03-06","current":13.9166,"twenty":30.760854,"median":33.908905,"eighty":38.108957,"marketCap":8344365334},{"date":"2026-03-13","current":12.597456,"twenty":30.643847,"median":33.908905,"eighty":38.108957,"marketCap":7553409132},{"date":"2026-03-20","current":12.921673,"twenty":30.545856,"median":33.908905,"eighty":38.108957,"marketCap":7747809249},{"date":"2026-03-27","current":12.143922,"twenty":30.459864,"median":33.908905,"eighty":38.108957,"marketCap":7281471563},{"date":"2026-04-02","current":14.192284,"twenty":30.395528,"median":33.908905,"eighty":38.108957,"marketCap":8342139378},{"date":"2026-04-10","current":13.233844,"twenty":30.365293,"median":33.908905,"eighty":38.108957,"marketCap":7778774237},{"date":"2026-04-17","current":14.369927,"twenty":30.343161,"median":33.908905,"eighty":38.108957,"marketCap":8446556794},{"date":"2026-04-24","current":14.136264,"twenty":30.292777,"median":33.908905,"eighty":38.108957,"marketCap":8309211446}],"updateTime":1777311758742},"$inf$@#url:\"https://stock-news.skytigris.cn/v2/news/list\",params:#symbols:\"FDS\",pageSize:20,pageCount:1,lang_content:\"cn\",edition:\"fundamental\",,,undefined,":[{"items":[{"id":"2625928904","title":"BUZZ-FactSet 宣佈首席財務官離職後股價走低","url":"https://stock-news.laohu8.com/highlight/detail?id=2625928904","media":"路透中文","labels":["executive"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2625928904?lang=zh_tw&edition=fundamental","pubTime":"2026-04-08 23:24","pubTimestamp":1775661851,"startTime":"0","endTime":"0","summary":"4月8日 - ** 金融数据提供商FactSet FDS.N 股价最多下跌3.8%,最后下跌1.7%,报223.85美元** FDS宣布 ,首席财务官珊 将于4月13日离职,由沃伦 接任。** Evercore 分析师莫特马登 对珊 的突然离职表示惊讶。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":"37684715aaf54a73b9fe52ee56a263cc","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260408:nL4S40R1EE:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"executive","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4588","LU2095319765.USD","BK4112","LU2210149790.SGD","LU2210150020.SGD","BK4567","FDS","BK4585"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2625946854","title":"Factset(FDS)2026財年Q2營收6.11億美元增7.1%,經營利潤率降至30.3%","url":"https://stock-news.laohu8.com/highlight/detail?id=2625946854","media":"金吾财讯","labels":["dataReport"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2625946854?lang=zh_tw&edition=fundamental","pubTime":"2026-04-08 19:53","pubTimestamp":1775649203,"startTime":"0","endTime":"0","summary":"金吾财讯 | Factset 发布2026财年第二季度财报。截至2026年2月28日,公司季度营收达6.11亿美元,同比增长7.1%。其中,内生性收入增长6.8%,汇率波动带来0.3%的净增长。所有业务板块均实现增长,主要由美洲地区驱动,核心增长动力来自工作站、数据解决方案及投资组合管理与交易解决方案。截至季度末,内生性年度订阅价值为24.491亿美元,同比增长6.7%,同样主要由美洲地区及数据解决方案、工作站业务推动。","market":"other","thumbnail":"https://static.szfiu.com/news/20210625/NDE1ZTkwNWY0MmUyYmYxZmRmMGIxMjc1MDdiMzUxMjY5MjE4NTQ3Mw==.jpg","type":0,"news_type":0,"thumbnails":["https://static.szfiu.com/news/20210625/NDE1ZTkwNWY0MmUyYmYxZmRmMGIxMjc1MDdiMzUxMjY5MjE4NTQ3Mw==.jpg"],"rights":null,"property":["earning"],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"298911","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"dataReport","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["FDS"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2624593801","title":"美國研究綜述-Asana、PPG Industries、威瑞信","url":"https://stock-news.laohu8.com/highlight/detail?id=2624593801","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2624593801?lang=zh_tw&edition=fundamental","pubTime":"2026-04-01 15:58","pubTimestamp":1775030289,"startTime":"0","endTime":"0","summary":"美国研究综述-Asana、PPG Industries、威瑞信路透4月1日 - 华尔街证券分析师周三调整了对几家美国上市公司的评级和目标价,其中包括 Asana、PPG Industries 和 Verisign。* PPG Industries Inc PPG.N:花旗集团将其评级从买入下调至中性 * TD Synnex SNX.N:Raymond James将目标价从175美元上调至200美元 * 威瑞信VRSN.O:摩根大通将目标价从272美元上调至273美元以下是路透周三报道的美国公司研究报告摘要。* Apellis Pharmaceuticals Inc APLS.O:贝雅将目标价从 52 美元下调至 41 美元 * Apellis Pharmaceuticals Inc APLS.O:杰富瑞将其评级从 \"买入 \"下调至 \"持有\"。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"37684715aaf54a73b9fe52ee56a263cc","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260401:nL4S40K0L3:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["MSFX","PALD","KO","CRWD","GNRC","SNX","SNOW","BANC","DDOG","FDS","MSFW","FCNCA","PPG","VRSN","ASAN","FHB","WRB","BXP","HSY","MKC","SSB","NCNO","NOW","GPOR","BIIB","WAL","XRN","STZ","PANW","LEN","EOG","PHR","SRRK","TCBI","PNFP","PLTR","MSFT","CUBI","NKE","PRIM","MSFY","LYFT","SHW","COLB","DOGD","PLTG","RH","ZION","APLS","FHN"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1186122769","title":"異動解讀 | 輝盛研究系統盤中大漲6.86%,因上調2026年業績展望","url":"https://stock-news.laohu8.com/highlight/detail?id=1186122769","media":"异动解读","labels":["movement"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1186122769?lang=zh_tw&edition=fundamental","pubTime":"2026-03-31 21:36","pubTimestamp":1774964203,"startTime":"0","endTime":"0","summary":"辉盛研究系统今日盘中大涨6.86%,引起了市场的广泛关注。消息面上,该公司公布了强劲的第二季度财报,并上调了2026财年的业绩展望。具体而言,FactSet预计2026财年调整后每股收益将介于17.25美元至17.75美元之间,高于此前预测的16.90美元至17.60美元。同时,年收入预期也从24.2亿至24.5亿美元上调至24.5亿至24.7亿美元。在第二季度末,公司的客户数量增至9,101个,净增98个,用户数量也增加了1,489人。","market":"hk","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"movement","news_rank":0,"length":0,"strategy_id":0,"source":"ai_movement_cn","symbols":["FDS"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2623735584","title":"BUZZ--美國股票走勢-史賽克、TD Synnex、Factset","url":"https://stock-news.laohu8.com/highlight/detail?id=2623735584","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2623735584?lang=zh_tw&edition=fundamental","pubTime":"2026-03-31 21:09","pubTimestamp":1774962598,"startTime":"0","endTime":"0","summary":"由于自动化翻译可能有误,或未能包含所需语境,路透不保证自动化翻译文本的准确性,仅是为了便利读者而提供自动化翻译。对于因为使用自动化翻译功能而造成的任何损害或损失,路透不承担任何责任。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"37684715aaf54a73b9fe52ee56a263cc","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260331:nL4T40J1AR:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4529","IE0004445239.USD","IE0004445015.USD","LU1923622291.USD","LU1951198990.SGD","LU3187612489.SGD","IE00BGHQF417.EUR","LU2756315664.SGD","LU2271345857.HKD","LU2048586759.USD","LU0353189680.USD","LU1487256676.USD","LU0942090050.USD","LU0345768153.USD","LU1923622614.USD","LU2290526834.HKD","SG9999017495.SGD","LU1852331112.SGD","LU1868837565.USD","LU0772969993.USD","LU2089985449.USD","LU0300736062.USD","LU0823421333.USD","HK0000304805.HKD","LU2237443978.SGD","LU0175139822.USD","LU0210533765.USD","LU2355687059.USD","LU0056508442.USD","LU0310800965.SGD","LU2357305700.SGD","LU1629891620.HKD","LU1153584641.USD","LU0965509101.SGD","LU0348723411.USD","LU0997586432.USD","IE00BFXG1179.USD","LU1868838027.USD","BK4081","IE00BYQQ9H92.USD","ELIL","LU1868837136.USD","LU0354030438.USD","LU2023250330.USD","LU2931357623.SGD","IE00B3PB1722.GBP","LU2089283258.USD","SYK","LU0238689110.USD","LU1066053197.SGD","LU2602419157.SGD","LU0053666078.USD","LU0472753341.HKD","LU0276348264.USD","LU0690374961.EUR","IE0004091025.USD","IE00BMPRXQ63.HKD","LU0878866978.SGD","LU1823568750.SGD","LU2168563687.JPY","IE00BMCWC346.EUR","LU0820562030.AUD","LU1720051017.SGD","BK4585","LU2362540622.SGD","IE000W1ABFV2.USD","LU0097036916.USD","LU1989771016.USD","LU2272731865.HKD","SGXZ31699556.SGD","LU0788109477.HKD","LU0868494708.USD","BK4526","LU2357125470.USD","LU1119994496.HKD","IE00BJT1NW94.SGD","LU1093756325.SGD","BK4606","LU1645745479.HKD","IE00B19Z9Z06.USD","LU2506951875.HKD","LU2471134879.HKD","IE000YTNTUN2.SGD","IE00BGHQDW50.EUR","IE00BJLML261.HKD","SG9999014559.SGD","LU2237443465.HKD","LU1791710400.SGD","3NVD.UK","LU0096362180.USD","LU1935042215.USD","LU2404859667.USD","LU0052756011.USD","IE00BK4W5L77.USD","LU0109392836.USD","LU0708994859.HKD","LU0203202063.USD","LU0345769128.USD","BK4138","LU0654597011.USD","LU1718418525.SGD","LU2456880835.USD","NVDU","LU0345770993.USD","LU2106854487.HKD","LU0323591593.USD","LLYX","LU1939255532.USD","IE00BWXC8680.SGD","LU2463526074.USD","LU0061474960.USD","LU0048573561.USD","LU0354030511.USD","IE00BKDWB100.SGD","LU0289960550.SGD","LU2413666699.HKD","LU2750360641.GBP","LU0106261372.USD","LU0345777659.USD","IE0003U64NQ7.SGD","LU0029864427.USD","LU0719512351.SGD","LU0417517546.SGD","LU0642271901.SGD","LU1941712264.USD","BK4604","LU1302929846.USD","SG9999000418.SGD","BK4535","LU2552382058.USD","HK0000306685.HKD","LU2125909593.SGD","LU1934455277.USD","BK4548","LU0823434583.USD","IE0005OL40V9.USD","LU1366192091.USD","LU0107464264.USD","LU2381873111.SGD","LU1989772840.SGD","LU0368265764.SGD","LU1023061713.HKD","LU2237443622.USD","LU2242646821.SGD","LU1815333072.USD","LU1815336760.USD","LU2756315318.SGD","LU0234570918.USD","LU1236620834.HKD","LU2211815571.USD","LU2213496289.HKD","DIPS","LU2491050154.USD","LU0889565080.SGD","LU1983299246.USD","IE00B4R5TH58.HKD","LU1543694498.USD","LU0985489474.SGD","IE00BYXW3230.USD","LU1429558221.USD","LU1242518931.SGD","SNVD.UK","BK4017","LU1585245621.USD","LU1868836757.USD","LU2468319806.SGD","BK4504","LU2237443382.USD","LU0494093205.USD","LU1861220033.SGD","LU2750360997.AUD","LU0889565916.HKD","SG9999014575.USD","LU1116320901.HKD","LU2065169927.USD","LU1316542783.SGD","LU1145028129.USD","IE00BFSS7M15.SGD","BK4581","LU1223082196.USD","LU2092627202.USD","IE00BVYPNW00.USD","LU0068578508.USD","LU1153585028.USD","LU0289961442.SGD","LU0237698245.USD","LU1169589451.USD","CEGX","LU1551013342.USD","LU2403377893.USD","LU0612318971.USD","LU0385154629.USD","IE00BLSP4239.USD","LU0171281750.USD","LU1064131342.USD","LU1571399168.USD","IE00BZ1G4Q59.USD","SG9999018857.SGD","LU2322448957.HKD","LU1548497426.USD","LU1223083913.SGD","LU1935043023.USD","LU2506952097.USD","LU2065170008.USD","IE00BJJMRZ35.SGD","IE00BQXX3C00.GBP","LU1803068979.SGD","SG9999013999.USD","LU1267930490.SGD","LU0345768740.USD","LU0820561909.HKD","LU1989763690.USD","SG9999014898.SGD","GB00B4QBRK32.GBP","IE00BJTD4N35.SGD","LU1150488218.USD","LU1988902786.USD","IE00B5949003.HKD","LU0444971666.USD","IE0009356076.USD","LU1989764748.USD","LU0345777147.USD","IE00BGHQF524.EUR","LU1366333091.USD","SG9999001176.SGD","LU2324357040.USD","LU1244550577.SGD","LU0075056555.USD","LU1165135440.EUR","LU2471134952.CNY","LU0251132253.USD","SG9999015978.USD","IE00BJTD4V19.USD","LU0203201768.USD","LU2294711713.HKD","LU2168564149.EUR","BK4515","BK4148","GB00BDT5M118.USD","SG9999015341.SGD","LU0640476718.USD","LU0731783394.SGD","LU1223082519.USD","LU0069063385.USD","BK4527","LU1069344957.HKD","LU1712237335.SGD","LU2720916845.USD","LU2473716301.USD","LU1691799644.USD","LU0742537680.HKD","LU1983260115.SGD","LU0353189763.USD","LU0265550359.USD","BK4599","LU1280957306.USD","LU1674673691.USD","SG9999004303.SGD","SGXZ51526630.SGD","BK4522","BK4550","LU1400636491.USD","FDS","IE00BVYPNS63.GBP","LU2097344431.USD","LU0130103400.USD","NVDB","BK4543","LU0345780950.USD","LU1883866441.USD","LU2211817866.USD","LU0312595415.SGD","LU1078025761.USD","LU0122379950.USD","IE0002270589.USD","LU2505996509.AUD","IE00BKPKM429.USD","LU0320765489.SGD","LU0211328371.USD","LU1894683348.USD","BK4554","LU0368265418.SGD","LU1620156213.USD","LU0788109394.HKD","LU2108987350.USD","LU1496350502.SGD","LU1920063259.USD","LU0742534661.SGD","LU1430597077.USD","LU1804176565.USD","LU2242646235.USD","IE00B19Z9505.USD","LU2362541273.HKD","LU1093756168.USD","LU1791710582.SGD","LU0320765059.SGD","LU0788109121.HKD","LU0314104364.USD","IE00BMPRXN33.USD","LU1481600234.SGD","LU0345770308.USD","LU1267930730.SGD","LU2360106947.USD","IE00B2Q91V27.USD","LU0965509283.SGD","LU0128525929.USD","LU0788108826.HKD","LU0820561818.USD","LU2242649171.HKD","LU2420271590.USD","LU0985320562.USD","LU1941712348.USD","IE00B4JS1V06.HKD","LU1242518857.USD","LU2114397693.USD","LU1400636657.SGD","LU0256331488.USD","IE00BFTCPJ56.SGD","BK4566","LU0256863902.USD","LU0498741890.SGD","IE000KEQY171.SGD","IE0009355771.USD","LU2458330243.SGD","LU0868494617.USD","LU1868837300.USD","LU1150488135.SGD","LU2487616109.SGD","LU1674673428.USD","SG9999011175.SGD","SG9999018865.SGD","SG9999015358.SGD","LU1920062954.HKD","LU0943347566.SGD","BK4505","LU0266512473.USD","LU2087625088.SGD","IE00B7SZLL34.SGD","LU0274383776.USD","LU0158827948.USD","LU2242650005.HKD","LU0979878070.USD","IE00BYV24P56.USD","LU2552382215.SGD","IE00BVYPNV92.GBP","IE00BD4GTT62.SGD","LU0345769631.USD","SG9999015952.SGD","LU0444973449.USD","SG9999002232.USD","LU0143863198.USD","BK4588","LU2023250843.SGD","LU2360107325.USD","BK4596","IE0034235071.USD","BK4096","LU0823417653.USD","LU1989764664.SGD","LU2054465674.USD","LU1623119135.USD","BK4605","BK4212","LU1670756490.USD","LU0210528500.USD","LU1599440770.SGD","BK4549","LU0787776722.HKD","LU1992135472.HKD","BK4534","LU0550127509.SGD","LU1620156130.USD","LU1923623000.USD","LU1023059063.AUD","LU0724617625.USD","BK4519","SG9999001176.USD","LU0557290698.USD","BK4608","LU2250418816.HKD","LU1066051225.USD","LU2238339852.HKD","IE00B2PGVK34.USD","NVIW.SI","LU0267386448.USD","LU2125154935.USD","LU0072462426.USD","IE00BQXX3D17.EUR","LU1721428933.USD","LU2543165471.USD","IE00B894F039.SGD","LU0861579265.USD","BK4145","LU0345781412.USD","NVD2.UK","LU0345780281.USD","LU0950375773.USD","LU1430594728.SGD","LU2452424414.USD","LU2237957902.USD","LU1935043536.SGD","IE00B1XK9C88.USD","LU2361045086.USD","LU1037948897.HKD","IE00BFSS8Q28.SGD","LU0957791311.USD","LU1934455194.USD","LU1699723380.USD","BK4018","LU0575583348.USD","LU1935042991.SGD","LU0124676726.USD","LU0471298777.SGD","IE00BD4GTV84.USD","LU2275660780.HKD","LU0316494557.USD","SG9999014880.SGD","LU2764262908.HKD","LU1839511570.USD","NVD","LU2111349929.HKD","BK4088","LU0266512127.USD","NVDD","NVD3.UK","03165","LU2430703095.HKD","LU1481011671.HKD","IE00B1BXHZ80.USD","LU2764263039.SGD","BK4516","LU2023250504.SGD","HK0000914660.USD","LU0708995401.HKD","LU0308772762.SGD","LU1435385759.SGD","LU1642822529.SGD","LU2237443895.HKD","IE0009G5SDU7.USD","LU0689626769.HKD","NVDY","SG9999001424.SGD","LU1244550494.USD","LU2272731600.USD","LU2461242641.AUD","LU2462157665.USD","SG9999001143.SGD","LU0061475181.USD","LU1863844749.USD","LU0208291251.USD","LU1046421449.USD","NVDG","LU2360032135.SGD","BK4141","BK4211","LU0672654240.SGD","BK4201","LU2413665964.HKD","LU2413666004.HKD","LU0187121727.USD","LU1868836591.USD","LU1261432733.SGD","LU2112291526.USD","GB00B4LPDJ14.GBP","LU2360107168.USD","LU2361044865.SGD","NEMG","LU0882574139.USD","ANV","BK4146","LU0011850046.USD","LU0109391861.USD","IE00BHPRN162.USD","LU0957808578.USD","LU0048578792.EUR","BK4567","IE0002141913.USD","LU1621768206.USD","LU2265009873.SGD","IE00B7KXQ091.USD","LU0964807845.USD","LU2498475776.HKD","SG9999015986.USD","IE000ITXATA3.USD","LU0476273544.USD","LU1989763427.SGD","SGXZ99366536.SGD","MRVU","LU1868836914.USD","LU0109394709.USD","LU1861214812.USD","LU1989772923.USD","LU0310800379.SGD","IE00B775H168.HKD","BK4512","LU1236620750.USD","LU2413666426.HKD","LU0823417737.USD","LU2236285917.USD","SG9999014567.USD","LU1019632923.USD","LU1267930573.SGD","LU0079474960.USD","IE00BJJMRX11.SGD","LU2361044949.HKD","IE00BGHQF631.EUR","BK4006","LU1116320737.USD","LU0081259029.USD","LU1917777945.USD","IE0001KFT4U8.USD","IE0034235295.USD","SG9999001440.SGD","IE00BVYPNT70.USD","LU2237957811.SGD","LU2098885051.SGD","LU1934455863.HKD","LU2063271972.USD","LU2089284900.SGD","LU1084165304.USD","LU2362541513.USD","LU0823421416.USD","LU0345780521.USD","LU2191332357.HKD","LU2210149790.SGD","LU0114720955.EUR","LU1400636574.HKD","IE00B19Z8X17.USD","LU0128525689.USD","LU0211327993.USD","LU1894683264.USD","LU2065171311.SGD","LU2463028550.USD","IE00B775SV38.USD","LU2237438978.USD","LU2401740654.USD","LU0466842654.USD","LU1489326972.SGD","VRTL","HK0000320264.USD","LU0630314457.HKD","LU2506952170.USD","HK0000304797.USD","LU0971552673.USD","LU2384288077.EUR","IE00BN0W2V16.EUR","LU0143863784.USD","LU0347712357.USD","LU2168564065.EUR","LU0157215616.USD","LU0256863811.USD","LU1863844665.USD","BK4533","LU1481599808.USD","IE00BQXX3F31.USD","LU0823434740.USD","LU1974910355.USD","LU0823414551.USD","BK4112","LU2249611893.SGD","NVDS.UK","LU1119994140.HKD","LU2125154778.USD","BK4580","BK4614","LU1023061473.USD","LU0058720904.USD","BK4570","LU1323610961.USD","LU0154245756.USD","BK4551","IE00B3S45H60.SGD","NVII","LU2237443549.SGD","LU0077335932.USD","LU0612318385.USD","LU0127658192.USD","BK4503","LU0057025933.USD","LU2286300806.USD","LU2491049909.HKD","LU0496367417.USD","IE00BD4GTW91.USD","LU2471134523.USD","BK4539","LU1814569148.SGD","LU2458330169.SGD","IE00B3CCJ963.GBP","LU2491050071.SGD","IE00B19Z3581.USD","IE00B3CCJ633.GBP","LU0266013472.USD","LU0498741114.HKD","LU1861127337.USD","LU0070217475.USD","LU1066051498.USD","IE00B19Z9P08.USD","LU0061474705.USD","LU1035775433.USD","LU2298064838.USD","LU2430703251.USD","LU0210536198.USD","LU1232071149.USD","LU2896262040.SGD","LU0823416689.USD","BK4167","LU0342679015.USD","LU0456854461.SGD","LU1169590202.USD","LU1914381329.SGD","LU2244417387.USD","LU2430703178.SGD","LU1721427968.SGD","BK4579","LU0823414478.USD","BK5127","LU2272731782.SGD","IE0004086264.USD","LU0965509010.AUD","IE00B4YYXB79.USD","LU2322448791.USD","IE00BN8TJ469.HKD","LU0251131958.USD","LU0130518102.USD","LU0683600562.USD","BK4598","LU0158827781.USD","LU1291159041.SGD","LU1037948541.HKD","SGXZ81514606.USD","LU0154236417.USD","LU2404859741.USD","LU2506951792.HKD","LU0302445910.USD","LU1057294990.SGD","BK4612","LU1496350171.SGD","LU0300736492.USD","IE00BDGV0183.EUR","IE00BZ9MQY76.HKD","LU2089984988.USD","LU1051770623.HKD","IE0034235303.USD","LU2552382132.HKD","LU1019634622.SGD","IE00BSNM7G36.USD","LU0889565833.HKD","LU2247934214.USD","BK4597","LU0320765992.SGD","LU0432979614.USD","LU0731783048.USD","IE00B5TLWC47.USD","LU1675838814.USD","LU2506951958.HKD","SG9999014914.USD","LU0689472784.USD","LU0433182093.SGD","NVDX","IE00B19Z3B42.SGD","LU2764263203.CNY","LU0082616367.USD","LU0170899867.USD","LU0511384066.AUD","IE00BN29S564.USD","LU1481011911.USD","LU0456855351.SGD","LU1509826696.USD","LU0786609619.USD","LU1861219969.SGD","SGXZ57979304.SGD","LLII","BK4007","LU2092937148.SGD","LU1551013425.SGD","LU2264538146.SGD","LU1621768115.EUR","LU1720051108.HKD","BK4559","LU0724618789.USD","LU0477156797.USD","SG9999003800.SGD","LU0251142724.SGD","IE00B3SWFQ91.USD","SG9999014542.SGD","LU0127657111.USD","LU2746668974.SGD","LU0964806797.USD","NVDW","LU2065171402.SGD","LU1621767737.EUR","LU0215105999.USD","LU2087621335.USD","LU2125909247.SGD","HK0000306701.USD","LU1935042488.USD","IE00BJJMRY28.SGD","LU2095319765.USD","LU2210150020.SGD","LU2433249047.HKD","HK0000914686.HKD","LU0154245673.USD","IE00BFXG0V08.USD","LU2125909916.SGD","LU1023059493.AUD","LU0289739343.SGD","IE00BN0W2T93.GBP","LU0648000940.SGD","LU1633808545.USD","ELIS","LU2462611646.USD","LU0070302665.USD","LU0289739699.SGD","BK4140","HK0000320223.HKD","LU0528227936.USD","LU0882574055.USD","LU1235294995.USD","LU1621767810.EUR","SG9999002224.SGD","LU1778281490.HKD","LU1596574779.USD","LU2471134796.USD","LU1046421795.USD","LU2125909759.SGD","LU1861215975.USD","LU2077746001.SGD","LU0278409577.USD","LU0225283273.USD","LU0055631609.USD","NVDQ","BK4082","IE00B3M56506.USD","LU0471298694.HKD","IE00B2B36J28.USD","LU1066051811.HKD","LU1303367103.USD","LU0094547139.USD","LU0048584097.USD","LU1244550221.USD","LU0690374615.EUR","BK4587","2NVD.UK","LU0096364046.USD","LU2746668461.USD","LU2592432038.USD","NWMX","LU2028103732.USD","LU2505996681.GBP","SG9999014906.USD","IE00BK4W5M84.HKD","IE00B19Z8W00.USD","IE00B42XCP33.USD","LU0390134368.USD","LU0198837287.USD","LU2065731478.USD","LU1127390331.HKD","IE00BZ199S13.USD","IE00BDRTCR15.USD","LU2091194634.USD","IE00BBT3K403.USD","LU2168564495.EUR","LU1003076772.USD","LU1992135399.USD","LU1061106388.HKD","LU1046248800.SGD","LU2860962120.EUR","LU0234572021.USD","LU2326559502.SGD","NVDS","LU0310799852.SGD","IE00BMPRXR70.SGD","LU0997587240.USD","BK4532","LU0265550946.USD","IE00BKVL7J92.USD","LU2360106780.USD","IE00BN0W2W23.USD","IE00BD6J9T35.USD","SGXZ23171101.USD","LU1201861165.SGD","LU2083900584.USD","LU0006306889.USD","IE00BDCRKT87.USD","BK4213","BK4592","BK4139","LU1951200564.SGD","LU0506197887.SGD","LU0330918003.SGD","IE0034235188.USD","LU1267930227.SGD","LLYZ","LU2417539215.USD","SNX","LU2242652126.USD","SG9999015945.SGD","LU1821325948.USD","LU2168564222.USD","LU0997586606.USD","LU2097344357.USD","LU0080751232.USD","IE00BLSP4452.SGD","LU0965508806.USD","LU1202635105.USD","LU0971552830.HKD","MVLL","LU1015430645.USD","LU2023251221.USD","LU0122376428.USD"],"isVideo":false,"video":null,"gpt_icon":1},{"id":"2623581907","title":"BUZZ-FactSet 上調 2026 年業績展望後股價攀升","url":"https://stock-news.laohu8.com/highlight/detail?id=2623581907","media":"路透中文","labels":["dataReport"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2623581907?lang=zh_tw&edition=fundamental","pubTime":"2026-03-31 20:41","pubTimestamp":1774960885,"startTime":"0","endTime":"0","summary":"3月31日 - ** 金融数据供应商Factset Research Systems Inc FDS.N股价盘前上涨1.6%,报208美元 ** 该公司预计2026财年 调整后每股收益介于17.25美元至17.75美元之间,高于此前预测的16.90美元至17.60美元。** 公司还将年收入预期从 24.2 亿至 24.5 亿美元上调至 24.5 亿至 24.7 亿美元。对于因为使用自动化翻译功能而造成的任何损害或损失,路透不承担任何责任。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"37684715aaf54a73b9fe52ee56a263cc","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260331:nL4T40J16Y: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":["LU2210149790.SGD","FDS","LU2210150020.SGD","LU2095319765.USD","BK4588","BK4585","BK4567","BK4112"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2623258971","title":"客户增長提振業績,FactSet 上調 2026 年展望,股價上漲","url":"https://stock-news.laohu8.com/highlight/detail?id=2623258971","media":"路透中文","labels":["shareholding","dataReport"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2623258971?lang=zh_tw&edition=fundamental","pubTime":"2026-03-31 20:26","pubTimestamp":1774959972,"startTime":"0","endTime":"0","summary":"客户增长提振业绩,FactSet 上调 2026 年展望,股价上涨路透3月31日 - 金融数据公司FactSet FDS.N周二公布了强劲的第二季度 财报,受订阅量增长以及企业和财富管理客户数量 增加的推动,该公司上调了全年 盈利预期。FactSet预测 2026 财年 调整后每股收益为 17.25 美元至 17.75 美元,高于此前预测的 16.90 美元至 17.60 美元,股价在盘前交易中上涨了 6%。今年早些时候,由于担心人工智能会扰乱 软件业务,FactSet 的股价遭到大面积抛售。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"37684715aaf54a73b9fe52ee56a263cc","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260331:nL4T40J15R:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"shareholding,dataReport","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU2095319765.USD","BK4567","BK4112","BK4585","LU2210150020.SGD","BK4588","LU2210149790.SGD","FDS"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1144027648","title":"輝盛研究系統攜手Finster AI推出全新AI原生解決方案,加速銀行業創新","url":"https://stock-news.laohu8.com/highlight/detail?id=1144027648","media":"美股速递","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1144027648?lang=zh_tw&edition=fundamental","pubTime":"2026-03-31 04:27","pubTimestamp":1774902432,"startTime":"0","endTime":"0","summary":"辉盛研究系统(FactSet Research)与Finster AI达成战略合作,正式推出一款专为银行业设计的AI原生解决方案。这一创新产品的发布标志着辉盛研究系统在金融科技领域的进一步突破,旨在通过人工智能技术提升银行业的运营效率和服务水平。\n该解决方案深度融合了AI核心技术,能够为银行机构提供智能数据分析、风险管理和客户服务等多项功能。通过这次合作,双方将共同推动银行业数字化转型,为金融机构创造更高效、更智能的解决方案。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["FDS","LU2210149790.SGD","LU2095319765.USD","BK4585","LU2210150020.SGD","BK4112","BK4567","BK4588"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1155274024","title":"財報前瞻|輝盛研究系統本季營收預計增5.94%,機構普遍偏多","url":"https://stock-news.laohu8.com/highlight/detail?id=1155274024","media":"财报Agent","labels":["earningPreview"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1155274024?lang=zh_tw&edition=fundamental","pubTime":"2026-03-24 10:34","pubTimestamp":1774319694,"startTime":"0","endTime":"0","summary":"辉盛研究系统将于2026年03月31日美股盘前发布最新季度财报,市场聚焦订阅续费与AI产品货币化对收入与利润的拉动。基于一致预期,辉盛研究系统本季度营收约为6.05亿美元,同比增长5.94%;调整后每股收益约为4.37美元,同比增长5.03%;EBIT约为2.12亿美元,同比增长4.05%。上季度辉盛研究系统营收为6.08亿美元,同比增长6.85%;毛利率为52.62%;归属于母公司股东的净利润为1.53亿美元,净利率为25.11%;调整后每股收益为4.51美元,同比增长3.20%。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":"财报前瞻|辉盛研究系统本季营收预计增5.94%,机构普遍偏多","news_tag":"earningPreview","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["FDS"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2620385822","title":"美國研究綜述-Factset、Lensar、星巴克","url":"https://stock-news.laohu8.com/highlight/detail?id=2620385822","media":"路透中文","labels":["shareholding"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2620385822?lang=zh_tw&edition=fundamental","pubTime":"2026-03-18 15:37","pubTimestamp":1773819446,"startTime":"0","endTime":"0","summary":"美国研究综述-Factset、Lensar、星巴克路透3月18日 - 华尔街证券分析师周三调整了对几家美国上市公司的评级和目标价,其中包括 Factset、Lensar 和星巴克。要闻 * Factset FDS.N:加拿大皇家银行将目标价从320美元下调至243美元 * Lensar Inc LNSR.O:BTIG将其评级从中性上调至买入 * Sable Offshore Corp SOC.N:Gerdes Energy Research将其评级从 \"买入 \"下调至 \"中性\"。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"37684715aaf54a73b9fe52ee56a263cc","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260318:nL4S4060LW:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"shareholding","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4612","LU2210149790.SGD","LU0314104364.USD","BK4082","LU1169590202.USD","BK4610","LU1883839398.USD","LU1894683264.USD","BK4179","BK4559","BK4504","BK4213","BK4613","LU0882574139.USD","BK4534","LU1880398554.USD","BK4535","LNSR","LU0868494617.USD","LU1430594728.SGD","LU1894683348.USD","LU2095319765.USD","BK4112","LU0321505439.SGD","BK4209","LU1778281490.HKD","LU2210150020.SGD","BK4196","LU0321505868.SGD","OKLL","BK4596","BK4134","LU1674673691.USD","BK4579","BK4533","LU1585245621.USD","FDS","LU1880398471.USD","BK4528","BK4575","BK4088","LU2065731478.USD","BK4023","BK4539","BK4585","BK4543","OKLS","BK4567","BK4588","BK4538","BK4081","SBUX","BK4606","LU1169589451.USD","LU1674673428.USD","SBU","BK4166","BK4007","IE00B3T34201.USD","LU0823411888.USD","BK4154","BK4602"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1109945608","title":"輝盛研究系統任命首席人工智能官與首席技術官,加速企業AI與平台戰略佈局","url":"https://stock-news.laohu8.com/highlight/detail?id=1109945608","media":"投资观察","labels":["executive"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1109945608?lang=zh_tw&edition=fundamental","pubTime":"2026-03-04 20:05","pubTimestamp":1772625951,"startTime":"0","endTime":"0","summary":"康涅狄格州诺沃克,2026年3月4日——全球金融数字平台与企业解决方案提供商辉盛研究系统今日宣布,任命凯特·斯特普为首席人工智能官,鲍勃·斯托尔特为首席技术官,两项任命均自2026年3月2日起生效。此次人事安排彰显了辉盛研究系统持续聚焦于运用人工智能能力,以提升其全球技术平台的客户价值。在新任首席人工智能官职位上,凯特·斯特普将负责领导辉盛研究系统面向客户的AI服务,并向公司首席执行官萨诺克·维斯瓦纳坦汇报。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"executive","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4588","LU2210149790.SGD","LU2095319765.USD","BK4567","BK4585","BK4551","BK4587","AAQC","BK4528","LU2210150020.SGD","BK4112","AIYY","AI","BK4023","BK4543","FDS"],"isVideo":false,"video":null,"gpt_icon":1},{"id":"2616394968","title":"BUZZ-凱普斯通銅業澳交所股價因業績不及預期下跌","url":"https://stock-news.laohu8.com/highlight/detail?id=2616394968","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2616394968?lang=zh_tw&edition=fundamental","pubTime":"2026-03-03 11:25","pubTimestamp":1772508334,"startTime":"0","endTime":"0","summary":"3月3日 - ** 在澳大利亚上市的 Capstone Copper CSC.AX股价下跌 8.4% 至 13.25 澳元,为 2 月 18 日以来的最低水平。** Jefferies 称,该公司公布的 第四季度调整后每股收益为 0.10 美元,低于其预期的 0.16 美元,也低于 FactSet 一致预期的 0.12 美元。由于自动化翻译可能有误,或未能包含所需语境,路透不保证自动化翻译文本的准确性,仅是为了便利读者而提供自动化翻译。对于因为使用自动化翻译功能而造成的任何损害或损失,路透不承担任何责任。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260303:nL4T3ZR0A4:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU2095319765.USD","BK4588","BK4567","LU2210149790.SGD","LU2210150020.SGD","FDS","BK4112","BK4585"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2614725340","title":"美國股市:華爾街強勢反彈,受助於科技股重拾活力和AI擔憂緩解","url":"https://stock-news.laohu8.com/highlight/detail?id=2614725340","media":"路透中文","labels":["economic"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2614725340?lang=zh_tw&edition=fundamental","pubTime":"2026-02-25 05:44","pubTimestamp":1771969461,"startTime":"0","endTime":"0","summary":"美国股市:华尔街强势反弹,受助于科技股重拾活力和AI担忧缓解道琼斯工业指数收高0.76%,标普500指数收升0.77%,纳斯达克指数收涨1.05%AMD急升,此前与Meta达成大规模芯片供应协议家得宝上涨,此前重申年度财测路透纽约2月24日 - 美国华尔街股市周二收高,科技股领涨,市场对人工智能的热情重燃,盖过了对这项新兴技术可能引发颠覆性影响的担忧。美国各交易所累计成交170.6亿股,过去20个完整交易日的日均成交量为202.9亿股。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"97b22325b365916f5a83e86125868c0a","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260224:nL6T3ZK1HS:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"economic","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU0211328371.USD","CRMG","HD","LU1992135399.USD","LU1551013342.USD","LU1551013425.SGD","LU0130102774.USD","BK4534","LU2756315664.SGD","LU0127658192.USD","LU0868494617.USD","LU0238689110.USD","IE00BQXX3D17.EUR","BK4504","LU2322448791.USD","LU0320765646.SGD","LU1988902786.USD","LU2272731782.SGD","LU2265009873.SGD","LU0823434740.USD","LU1914381329.SGD","LU0353189680.USD","IE00B19Z9505.USD","LU0006306889.USD","BK4528","LU0057025933.USD","LU1496350502.SGD","BK4533","LU1093756325.SGD","LU0511384066.AUD","BK4585","LU0354030511.USD","LU0353189763.USD","LU0251131958.USD","LU0889566641.SGD","FDS","LU0889565833.HKD","KEYS","LU0557290698.USD","LU1989772840.SGD","LU1496350171.SGD","LU0079474960.USD","CRM","IE00BJTD4V19.USD","BK4505","IE00B19Z8W00.USD","LU0157215616.USD","LU1548497426.USD","LU0792757196.USD","BK4535"],"isVideo":false,"video":null,"gpt_icon":1},{"id":"2614874530","title":"BUZZ--美國股票走勢-Henry Schein、多米諾比薩、FactSet","url":"https://stock-news.laohu8.com/highlight/detail?id=2614874530","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2614874530?lang=zh_tw&edition=fundamental","pubTime":"2026-02-25 00:00","pubTimestamp":1771948829,"startTime":"0","endTime":"0","summary":"nL6N3ZK0S4 ** Kratos Defense & Security Solutions Inc KTOS.O:BUZZ - 在第一季度营收预测低于预期后下跌 nL6N3ZK0RG ** AES Corp AES.N:BUZZ - 谷歌数据中心交易后上涨 nL6N3ZK0S8 ** PPL Corp PPL.N:BUZZ--在公用事业公司出售 10 亿美元股票单位、华尔街评级提升后上涨 nL6N3ZK0SJ ** Construction Partners Inc ROAD.O:BUZZ - 由于运营实力强劲,美国银行上调了Construction Partners的PT。nL4N3ZK13K ** Larimar Therapeutics Inc LRMR.O:BUZZ - 因美国食品及药物管理局为神经系统疾病疗法贴上 \"突破性 \"标签而大涨 nL4N3ZK19H ** Consolidated Edison Inc ED.N:BUZZ - 因发行 7.77 亿美元股票而下跌 nL6N3ZK0WF ** Protara Therapeutics Inc TARA.O:BUZZ - 因癌症药物数据低于投资者预期而下跌 nL4N3ZK1CT ** Henry Schein Inc HSIC","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:20260224:nL4T3ZK1LZ:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["HSIC","PPL","ELAN","ED","BOOM","ALUR","NRG","LLYZ","CVS","FDS","VIR","WHR","AU","EXPD","ELIL","THR","KTOS","PVLA","LRMR","ROAD","CNP","HD","KEYS","KDP","TARA","FGL","ELIS","ITRI","NWMX","AMDW","OWL","AWI","OKE","CLVT","AES","TNC","AMYY","SEG","SHLS","FRPT","ANPA","LLII","DPZ"],"isVideo":false,"video":null,"gpt_icon":1},{"id":"1186350235","title":"湯森路透、輝盛研究系統與Anthropic合作開發新型AI工具","url":"https://stock-news.laohu8.com/highlight/detail?id=1186350235","media":"老虎资讯综合","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1186350235?lang=zh_tw&edition=fundamental","pubTime":"2026-02-24 23:45","pubTimestamp":1771947932,"startTime":"0","endTime":"0","summary":"金融信息行业正加速布局生成式AI领域。","market":"us","thumbnail":"https://static.tigerbbs.com/60ef7f4b4533dac867e8f0307976867e","type":0,"news_type":0,"thumbnails":["https://static.tigerbbs.com/60ef7f4b4533dac867e8f0307976867e"],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"7d082fd57ad7f54cec7084903b280ece","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":true,"source_rank":0,"column":"","sentiment":"1","news_top_title":"汤森路透、辉盛研究系统与Anthropic合作开发新型AI工具","news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["FDS","TRI"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1106932776","title":"Anthropic在引發市場暴跌的法律插件發布數周後,力推新的AI工具","url":"https://stock-news.laohu8.com/highlight/detail?id=1106932776","media":"老虎资讯综合","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1106932776?lang=zh_tw&edition=fundamental","pubTime":"2026-02-24 23:26","pubTimestamp":1771946797,"startTime":"0","endTime":"0","summary":"人工智能实验室Anthropic周二发布了10种新的方式,使企业客户能够将其技术接入到工作中的关键领域。Anthropic表示,这些新插件是与合作伙伴共同开发的,包括LSEG、FactSet、Salesforce旗下的Slack,以及DocuSign。上个月,Anthropic发布的一款法律插件在六个交易日内引发全球软件和服务类股票总计8,300亿美元的抛售,其中包括部分该公司合作伙伴的股票。Anthropic还表示,企业也可以自行构建和管理自己的插件。","market":"us","thumbnail":"https://community-static.tradeup.com/news/465fa9cb57d90a618d2b1282f68aacf9","type":0,"news_type":0,"thumbnails":["https://community-static.tradeup.com/news/465fa9cb57d90a618d2b1282f68aacf9"],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"3608d585a5acdce6a19cbb6b1c9c5eae","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":true,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["CRM","IGV","DOCU","FDS","LSEG.UK","TRI"],"isVideo":false,"video":null,"gpt_icon":1},{"id":"2613743808","title":"BUZZ-Anthropic 與 FactSet 聯合開發新的人工智能工具,FactSet 因此上漲","url":"https://stock-news.laohu8.com/highlight/detail?id=2613743808","media":"路透中文","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2613743808?lang=zh_tw&edition=fundamental","pubTime":"2026-02-24 23:19","pubTimestamp":1771946377,"startTime":"0","endTime":"0","summary":"** Anthropic表示,其新插件是与合作伙伴联合开发的,其中包括FactSet ** 由于投资者对人工智能可能颠覆其商业模式的担忧加剧,信息服务类股票在过去12个月中遭受重创** 分析师表示,投资者对FactSet数据库专有性的担忧也一直是该股的一个**利空因素**。由于自动化翻译可能有误,或未能包含所需语境,路透不保证自动化翻译文本的准确性,仅是为了便利读者而提供自动化翻译。对于因为使用自动化翻译功能而造成的任何损害或损失,路透不承担任何责任。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"cdd75f7be30734707f9eb892037d4bb4","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260224:nL4S3ZK1IV:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4588","BK4112","LU2095319765.USD","LU2210149790.SGD","BK4585","FDS","LU2210150020.SGD","BK4567"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1146916895","title":"湯森路透與輝盛研究系統聯手Anthropic開發新AI工具,在美上市股票雙雙上漲3%","url":"https://stock-news.laohu8.com/highlight/detail?id=1146916895","media":"美股速递","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1146916895?lang=zh_tw&edition=fundamental","pubTime":"2026-02-24 22:46","pubTimestamp":1771944405,"startTime":"0","endTime":"0","summary":"汤森路透与辉盛研究系统宣布与人工智能研究公司Anthropic合作开发新型AI工具后,两家公司在美上市的股票价格均出现约3%的显著上涨。这一市场反应凸显了投资者对金融数据服务商拥抱前沿人工智能技术的高度认可。\n此次合作标志着金融信息行业正加速布局生成式AI领域。通过整合Anthropic在大型语言模型方面的专业优势,两家公司有望提升其数据分析和内容生成能力,为客户提供更智能的金融决策支持工具。市场分析师指出,这种技术协同效应可能重塑行业竞争格局。\n股价的同步上扬反映出市场对AI驱动型业务增长前景的乐观预期。随着金融机构对智能化解决方案需求持续增长,此类战略合作有望为参与方带来新的收入增长点。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"7d082fd57ad7f54cec7084903b280ece","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4588","LU1861220033.SGD","LU1989763005.USD","LU1989773731.SGD","LU2210149790.SGD","BK4585","FDS","LU1861215975.USD","TRI","BK4567","LU2095319765.USD","LU2290526834.HKD","LU2210150020.SGD","BK4579","LU2360107168.USD","BK4123","BK4112"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2613967710","title":"在法律插件引發市場重挫數周後,Anthropic公司吹捧新的人工智能工具","url":"https://stock-news.laohu8.com/highlight/detail?id=2613967710","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2613967710?lang=zh_tw&edition=fundamental","pubTime":"2026-02-24 22:30","pubTimestamp":1771943443,"startTime":"0","endTime":"0","summary":"在法律插件引发市场重挫数周后,Anthropic公司吹捧新的人工智能工具Anthropic 的新插件针对投资银行、人力资源和工程任务在谷歌和亚马逊的支持下,Anthropic 瞄准企业市场的领先地位上月发布的法律插件引发软件股大跌。Anthropic 推介的其他项目包括私募股权、工程和设计插件。今年的快速发布表明,Anthropic正在寻求在人们广泛期待的公开募股之前,在向利润丰厚的企业市场销售日益自主的人工智能方面抢占先机。Anthropic表示,公司也可以建立和管理自己的插件。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"cdd75f7be30734707f9eb892037d4bb4","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260224:nL4T3ZK1EM:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU2317271919.USD","LU0234572021.USD","LU1668664300.SGD","LU0211327993.USD","LU0784385170.HKD","LU2750360641.GBP","LU0061474705.USD","LU2083900584.USD","LU1868836591.USD","GB00B4QBRK32.GBP","BK4581","IE00B5TLWC47.USD","LU1629891620.HKD","LU2458330169.SGD","LU1934455277.USD","LU2106854487.HKD","LU1032955483.USD","LU0323591593.USD","LU1642822529.SGD","LU0061475181.USD","LU2602419157.SGD","LU1232071149.USD","LU0057025933.USD","LU0080751232.USD","SG9999004303.SGD","LU1116320901.HKD","LU0109392836.USD","WDAY","LU1989764748.USD","BK4566","LU2326559502.SGD","BK4607","LU0096362180.USD","LU0267386448.USD","IE00BJLML261.HKD","LU1699723380.USD","LU2756315318.SGD","LU2089283258.USD","LU2244417387.USD","LU2247934214.USD","LU1119994496.HKD","IE00BZ199S13.USD","LU1633808545.USD","LU2552382215.SGD","LU2471134523.USD","IE00BHPRN162.USD","BK4561","LU0077335932.USD","LU1059921491.USD","GOOX","IE00BN8TJ469.HKD","LU0868494617.USD","LU1069344957.HKD","IE00BJTD4N35.SGD","LU2746668461.USD","LU0072462426.USD","LU2517655374.HKD","BK4536","LU1718418525.SGD","LU2089284900.SGD","LU2054465674.USD","KKR","LU2430703095.HKD","SG9999015945.SGD","LU2764263039.SGD","LU0302445910.USD","LU0672654240.SGD","GB00B4LPDJ14.GBP","LU0162691827.USD","LU2237438978.USD","LU2242649171.HKD","LU0081259029.USD","LU0097036916.USD","LU0661504455.SGD","LU0158827781.USD","IE00BLSP4239.USD","LU2404859741.USD","LU2403377893.USD","SGXZ51526630.SGD","LU1066053197.SGD","LU1861127337.USD","LU2236285917.USD","IE00BFMHRM44.USD","LU2360106780.USD","LU0130517989.USD","LU0787776722.HKD","LU1571399168.USD","LU0289961442.SGD","BK4559","LU0683600562.USD","LU1316542783.SGD","LU2087625088.SGD","LU2237957902.USD","LU0511384066.AUD","UBER","BK4503","GOOGL","LU1244550577.SGD","LU1861219969.SGD","LU2361044865.SGD","LU1366192091.USD","IE0004445239.USD","BK4507","LU0256863811.USD","BK4514","LU2264538146.SGD","LU0203201768.USD","LU2430703251.USD","BK4576","IE00BQXX3D17.EUR","LU2491050071.SGD","LU2092627202.USD","LU1084165304.USD","LU0353189763.USD","BK4532","LU1267930227.SGD","LU2210149790.SGD","IE00BGHQF748.EUR","LU0251142724.SGD","LU0342679015.USD","IE00BJJMRX11.SGD","BK4550","LU2471134879.HKD","BK4534","LU1935042991.SGD","LU0640476718.USD","LU0963555726.SGD","LU0170899867.USD","LU1674673428.USD","LU0079474960.USD","SGXZ31699556.SGD","IE000YTNTUN2.SGD","BK4592","LU2125154778.USD","LU0096364046.USD","BK4527","LU2458330243.SGD","LU1852331112.SGD","LU2764263203.CNY","LU1823568750.SGD","LU0823434740.USD","LU1691799644.USD","BK4598","LU2381873111.SGD","IE00BFXG0V08.USD","LU1880398554.USD","IE00BMPRXR70.SGD","LU1366333091.USD","LU0472753341.HKD","LU2896262040.SGD","LU1935042215.USD","LU1153584641.USD","IE00B3S45H60.SGD","LU1883839398.USD","LU2250418816.HKD","LU2506952097.USD","IE0004091025.USD","LU1868836914.USD","LU1037948897.HKD","LU2506951875.HKD","LU2430703178.SGD","IE0001KFT4U8.USD","BK5051","LU2265009873.SGD","IE00BQXX3F31.USD","LU0820561909.HKD","LU0957791311.USD","LU1720051017.SGD","IE00BKDWB100.SGD","LU0417517546.SGD","BK4567","LU0784385840.USD","LU2210150020.SGD","LU0965508806.USD","LU1121112475.USD","LU1127390331.HKD","LU0476273544.USD","LU1674673691.USD","LU0545039389.USD","IE00B7SZLL34.SGD","LU2242650005.HKD","SG9999014914.USD","LU0477156953.USD","BK4613","LU0496365809.HKD","IE00BKVL7J92.USD","LU0215105999.USD","LU1051770623.HKD","LU0314106906.USD","LU2417539215.USD","LU0198837287.USD","GOOW","LU1894683348.USD","LU0072461881.USD","IE00B19Z3B42.SGD","LU2065169927.USD","LU0094547139.USD","LU1989764664.SGD","LU1923622614.USD","LU0345768740.USD","IE0002270589.USD","LU0053666078.USD","LU2028103732.USD","LU1951198990.SGD","IE00BMPRXQ63.HKD","LU0056508442.USD","LU1551013425.SGD","LU0130102774.USD","LU1934455194.USD","LU0128525689.USD","LU0276348264.USD","AMZZ","LU0345777147.USD","LU0738911758.USD","LU2211815571.USD","LU1815333072.USD","LU1791710582.SGD","BK4230","IE00B5949003.HKD","BK4524","LU1935043023.USD","LU2552382058.USD","LU2286300806.USD","SGXZ23171101.USD","LU0466842654.USD","SG9999015986.USD","LU0426412945.USD","LU0320765489.SGD","LU0130103400.USD","LU0011850046.USD","LU0345777659.USD","LU0792757196.USD","LU0949170772.SGD","LU1037948541.HKD","LU2125909593.SGD","LU1506573853.SGD","LU1917777945.USD","LU2063271972.USD","LU2111349929.HKD","LU0106261372.USD","LU0289739343.SGD","LU1934455863.HKD","LU0823417653.USD","LU2461242641.AUD","LU0887340254.USD","LU0289960550.SGD","LU1914381329.SGD","LU0942090050.USD","BK4533","LU0052756011.USD","LU1201861165.SGD","LU0444973449.USD","LU0265550359.USD","LU0994945656.USD","LU0211326839.USD","IE0003U64NQ7.SGD","AZYY","LU1301847155.USD","LU2452424414.USD","LU2463028550.USD","LU0889566641.SGD","LU0985320562.USD","LU1548497426.USD","LU1720051108.HKD","AMZP","SG9999015952.SGD","IE00B3SWFQ91.USD","LU0689472784.USD","IE00B19Z8W00.USD","LU1228905037.USD","LU2592432038.USD","IE0009356076.USD","LU0320765059.SGD","LU0820561818.USD","LU2360107325.USD","SG9999000418.SGD","LU1429558221.USD","LU0345774391.USD","LU0708994859.HKD","IE00BYQQ9H92.USD","LU0345770308.USD","AMZN","LU1066051811.HKD","LU1951200564.SGD","LU0070217475.USD","IE00B64PRP62.GBP","LU1778281490.HKD","LU1974910355.USD","LU0354030511.USD","LU2168564495.EUR","LU2756315664.SGD","LU1804176565.USD","LU0158827948.USD","BK4220","LU0823417737.USD","LU0648001328.SGD","LU2433249047.HKD","LU2023250504.SGD","LU0784383803.USD","LU2095319765.USD","BK4023","LU2065170008.USD","LU1355424745.HKD","LU2097344431.USD","LU1019632923.USD","IE00B1BXHZ80.USD","LU1989773731.SGD","LU1861214812.USD","IE00BJJMRY28.SGD","LU2357305700.SGD","BK4554","LU2098885051.SGD","HK0000914686.HKD","LU1003077747.HKD","LU2404859667.USD","LU0345770993.USD","SG9999018857.SGD","LU0528227936.USD","LU2471134796.USD","LU0456855351.SGD","LU1861559042.SGD","LU1046421795.USD","LU2125909247.SGD","LU1267930813.SGD","LU0788108743.HKD","LU1267930730.SGD","BK4604","LU0251131958.USD","LU0965509283.SGD","IE00BZ1G4Q59.USD","LU1267930490.SGD","LU1235294995.USD","LU2271345857.HKD","LU0965509010.AUD","LU0211328371.USD","IE00BLSP4452.SGD","LU0964807845.USD","AMZU","LU1803068623.USD","LU1221951129.SGD","GOU","LU0477156797.USD","LU0965509101.SGD","LU1585245621.USD","UBRL","LU2091194634.USD","LU2362541513.USD","LU1670627923.USD","LU2077746001.SGD","LU1078025761.USD","LU2517655028.SGD","LU0980610538.SGD","LU2065171402.SGD","LU1988902786.USD","LU0786609619.USD","LU2092937148.SGD","IE0004086264.USD","LU0784384876.USD","BK4585","LU1983260115.SGD","LU0128525929.USD","LU1814569148.SGD","LU1894683264.USD","IE00BKPKM429.USD","LU1791807156.HKD","IE00BSNM7G36.USD","LU2750360997.AUD","LU0742534661.SGD","LU0314104364.USD","LU1244550221.USD","LU2362541273.HKD","LU1803068979.SGD","AMZD","UBEW","LU0426417589.USD","IE0034235303.USD","IE00BMPRXN33.USD","LU0312595415.SGD","LU1153585028.USD","LU2211817866.USD","LU0957808578.USD","LU2168563687.JPY","SG9999001077.SGD","LU2764262908.HKD","IE00BJTD4V19.USD","LU0225283273.USD","LU1839511570.USD","LU0545562505.USD","GOOP","LU0823421333.USD","LU1923623000.USD","LU1064131342.USD","IE000W1ABFV2.USD","BK4596","LU0109391861.USD","LU1303367103.USD","LU2108987350.USD","LU2487616109.SGD","LU0976567544.SGD","LU2168564222.USD","LU0642271901.SGD","LU0494093205.USD","BK4608","LU0106831901.USD","BK4535","LU2860962120.EUR","LU1861558580.USD","LU0308772762.SGD","LU0124676726.USD","LU0310800965.SGD","LU1868836757.USD","LU0943347566.SGD","LU0130518102.USD","LU1244550494.USD","LU1019634622.SGD","IE00BKPKM643.USD","IE00B4JS1V06.HKD","LU1201861249.SGD","LU1791710400.SGD","LU0210533765.USD","BK4551","IE000ITXATA3.USD","LU0187121727.USD","LU2191332357.HKD","LU0724617625.USD","LU0950375773.USD","LU2420271590.USD","LU1043141123.HKD","HK0000914660.USD","IE00B4YYXB79.USD","LU1145028129.USD","BK4573","IE00BWXC8680.SGD","LU0154236417.USD","IE0005OL40V9.USD","BK4077","LU0889565833.HKD","LU0107464264.USD","LU2275660780.HKD","IE00BFSS8Q28.SGD","LU0171280430.USD","LU0082616367.USD","LU1267930573.SGD","LU0251132253.USD","SG9999002224.SGD","GOOY","LU1323610961.USD","LU1035775433.USD","LU2517655291.USD","LU2213496289.HKD","LU0354030438.USD","SG9999017495.SGD","IE0004445015.USD","LU2491050154.USD","LU2125154935.USD","GB00BDT5M118.USD","LU0157215616.USD","LU2720916845.USD","LU1043141396.HKD","BK4122","LU0048584097.USD","LU0208291251.USD","LU0882574139.USD","LU2361044949.HKD","LU0310799852.SGD","LU1868837136.USD","SG9999014906.USD","LU0345768153.USD","LU1868837300.USD","IE0009G5SDU7.USD","LU0149725797.USD","LU0788109477.HKD","LU1221951046.USD","LU0069063385.USD","LU1880398471.USD","LU0211326755.USD","LU1496350171.SGD","LU2065171311.SGD","LU2543165471.USD","LU0690374615.EUR","LU0348723411.USD","IE00B7KXQ091.USD","BK4588","LU0823421416.USD","LU1074936037.SGD","LU2505996681.GBP","SG9999018865.SGD","LU1935043536.SGD","SGXZ81514606.USD","IE00BK4W5L77.USD","LU0868494708.USD","LU1496350502.SGD","LU2023250843.SGD","FDS","LU2746668974.SGD","SG9999014898.SGD","LU0070302665.USD","LU2462157665.USD","IE00B19Z9505.USD","LU0557290698.USD","LU0823434583.USD","LU1116320737.USD","LU2362540622.SGD","IE00BBT3K403.USD","IE00B775H168.HKD","IE00BN29S564.USD","BK4548","LU0265550946.USD","LU2506952170.USD","LU0127658192.USD","BK4022","LU2097829019.USD","LU0823411888.USD","LU0203202063.USD","LU0310800379.SGD","LU1815336760.USD","LU0969580561.USD","BK4574","LU0175139822.USD","BK4135","LU0444971666.USD","IE0034235188.USD","LU0006306889.USD","LU2491049909.HKD","LU0171276677.USD","LU1670628061.USD","LU0211331839.USD","BK4579","IE00B3QW5Z07.USD","LU0061474960.USD","LU0820562030.AUD","LU2471134952.CNY","BK4528","LU0171293334.USD","LU0210536198.USD","GGLS","LU2114397693.USD","LU0210528500.USD","LU2237957811.SGD","LU0289941410.SGD","LU0345769631.USD","LU0316494557.USD","LU0648000940.SGD","SG9999015978.USD","IE00BK4W5M84.HKD","AMZW","LU0353189680.USD","LU2361045086.USD","OBDC","LU2552382132.HKD","LU2168564149.EUR","AMZY","LU0949170426.SGD","IE000KEQY171.SGD","IE00BFSS7M15.SGD","LU0390134368.USD","BK4602","LU0256863902.USD","IE00B19Z3581.USD","LU1228905540.USD","USAW.SI","LU0553294199.USD","LU2505996509.AUD","LU1066051498.USD","LU0689626769.HKD","LU0238689110.USD","SG9999014880.SGD","CRMG","LU1261432733.SGD","LU0719512351.SGD","LU0029864427.USD","IE00B19Z8X17.USD","LU2023251221.USD","LU2023250330.USD","LU2168564065.EUR","LU1066051225.USD","BK4538","LU0690374961.EUR","LU2506951958.HKD","IE00B775SV38.USD","LU1435385759.SGD","SG9999002232.USD","LU0048573561.USD","LU1280957306.USD","LU0861579265.USD","IE00BQXX3C00.GBP","BK4543","LU0526926950.USD","LU0203345920.USD","LU1003076772.USD","BK4612","LU0234570918.USD","LU2456880835.USD","LU0345769128.USD","SGXZ99366536.SGD","LU1551013342.USD","LU1935042488.USD","LU2087621335.USD","IE00B1XK9C88.USD","LU1196500208.SGD","LU2360032135.SGD","BK4112","LU1430594728.SGD","LU0345774631.USD","LU2097344357.USD","BK4505","LU0203347892.USD","LU1989763005.USD","LU0708995401.HKD"],"isVideo":false,"video":null,"gpt_icon":1},{"id":"2612546993","title":"BUZZ-FactSet 下跌,富國銀行下調 PT,原因是人工智能驅動的競爭加劇","url":"https://stock-news.laohu8.com/highlight/detail?id=2612546993","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2612546993?lang=zh_tw&edition=fundamental","pubTime":"2026-02-18 01:11","pubTimestamp":1771348275,"startTime":"0","endTime":"0","summary":"由于自动化翻译可能有误,或未能包含所需语境,路透不保证自动化翻译文本的准确性,仅是为了便利读者而提供自动化翻译。对于因为使用自动化翻译功能而造成的任何损害或损失,路透不承担任何责任。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260217:nL4T3ZD1CT:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4567","FDS","BK4588","BK4112","LU2095319765.USD","BK4585","LU2210150020.SGD","LU2210149790.SGD"],"isVideo":false,"video":null,"gpt_icon":0}],"pageSize":20,"totalPage":2,"pageCount":1,"totalSize":28,"code":"91000000","status":"200"}]}}