ENG/中
老虎證券
行情
交易
收費
下載
優惠與活動
幫助
TigerAI
學堂
期權訓練營
投資學堂
機構
財富及資產管理人
自營交易機構
介紹經紀商
三方服務商
股權激勵
關於
關於我們
媒體報道
獎項與榮譽
登入
立即註冊
Toggle
美股
詳情
本頁面由Tiger Trade Technology Pte. Ltd.提供服務
Lyft, Inc.
17.65
-0.0300
-0.17%
盤後：
17.65
0.0000
0.00%
19:48 EDT
成交量：
1,038.53萬
成交額：
1.83億
市值：
67.07億
市盈率：
2.44
高：
17.97
開：
17.68
低：
17.36
收：
17.68
52周最高：
25.54
52周最低：
12.46
股本：
3.80億
流通股本：
3.40億
量比：
1.09
換手率：
3.05%
股息：
- -
股息率：
- -
每股收益(TTM):
7.23
每股收益(LYR):
6.92
淨資產收益率：
152.58%
總資產收益率：
-0.86%
市淨率：
2.22
市盈率(LYR):
2.55
資料載入中...
總覽
公司
新聞資訊
公告
Lyft推出司機援助計劃以應對油價上漲
格隆汇
·
03/26
美國油價攀升，Lyft推出司機補貼計劃
路透中文
·
03/25
Lyft推出額外返現福利：精英司機享2%返現，金級與白金級司機獲1%返現，需使用Lyft Direct商務借記卡
美股速递
·
03/25
Lyft推出60天司機援助計劃 3月27日至5月26日期間補貼燃油成本
美股速递
·
03/25
Lyft與Mapup續簽六年戰略合作 為下一代出行提供智能收費解決方案
美股速递
·
03/25
征服全球出行巨頭！Lyft CEO親測蘿蔔快跑：當場直呼Amazing
快科技
·
03/25
「無人駕駛技術」普及時代來了？英偉達全力推動 Uber、Lyft雙雙大漲
格隆汇
·
03/18
Lyft將整合英偉達AI技術 提升預測建模與地圖能力優化網約車平台
美股速递
·
03/17
Lyft計劃採用英偉達Drive Hyperion作為未來自動駕駛車隊系統的參考架構
美股速递
·
03/17
Lyft藉助智能體AI優化出行效率，攜手英偉達Drive Hyperion加速自動駕駛未來
美股速递
·
03/17
美國眾議院委員會要求旅遊公司回答有關使用人工智能定價的問題
路透中文
·
03/05
美國眾議院監督委員會質詢Uber、Lyft、Expedia等旅遊公司CEO：要求説明AI及消費者數據在定價中的應用
美股速递
·
03/05
{"basename":"/hant","ssrTDKData":{"titleTemplate":"%s - 老虎證券","title":"老虎證券香港 | 輕鬆買賣美股港股A股/美債/ETF/Crypto/期權期貨","description":"老虎證券香港提供多種優惠: 港股&Crypto 0佣、A股一年0佣、美股期權0佣、IPO抽新股0孖展利息0手續費。美股1美金起投，即時串流報價與多種工具，立即開戶享更多優惠！","keywords":"老虎證券,老虎證券開戶,老虎證券香港,老虎證券投資,老虎證券美股,老虎證券登錄,證券開戶,證券公司開戶,股票開戶,香港證券公司,香港證券,證券公司,美股投資平台,小額投資理財,投資app,投資平台,股票買賣,買賣股票平台,炒股app,證券app,新手投資","social":{"ogDescription":"老虎證券香港提供多種優惠: 港股&Crypto 0佣、A股一年0佣、美股期權0佣、IPO抽新股0孖展利息0手續費。美股1美金起投，即時串流報價與多種工具，立即開戶享更多優惠！","ogImage":"https://c1.itigergrowtha.com/portal5/static/media/og-logo.0a0bd8dc.png","ogUrl":"https://www.atigrdive.com/hant/stock/LYFT/news?page=4"},"companyName":"老虎證券"},"pageData":{"isMobile":false,"isTiger":false,"isTTM":true,"region":"HKG","license":"TBHK","edition":"fundamental","symbol":"LYFT","isAnalysisPage":false},"__swrFallback__":{"@#url:\"https://hq.skytigris.cn/stock_info/detail/global\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"LYFT\",,,,,undefined,":{"symbol":"LYFT","market":"US","secType":"STK","nameCN":"Lyft, Inc.","latestPrice":17.65,"timestamp":1787688000000,"preClose":17.68,"halted":0,"volume":10385259,"hourTrading":{"tag":"盘后","latestPrice":17.65,"preClose":17.65,"latestTime":"19:48 EDT","volume":63290,"amount":1117050.023,"timestamp":1787701725412,"change":0,"changeRate":0,"amplitude":0.003297},"delay":0,"changeRate":-0.0016968325791855846,"floatShares":340000000,"shares":380000000,"eps":7.227076,"marketStatus":"未開盤","change":-0.03,"latestTime":"08-25 16:00:00 EDT","open":17.68,"high":17.97,"low":17.36,"amount":183052527.562692,"amplitude":0.034502,"askPrice":0,"askSize":0,"bidPrice":0,"bidSize":0,"shortable":3,"etf":0,"ttmEps":7.227076,"tradingStatus":0,"nextMarketStatus":{"tag":"盤前交易","tradingStatus":1,"beginTime":1787731200000},"marketStatusCode":0,"adr":0,"adrRate":0,"listingDate":1553832000000,"exchange":"NASDAQ","adjPreClose":17.68,"preHourTrading":{"tag":"盘前","latestPrice":17.75,"preClose":17.68,"latestTime":"09:27 EDT","volume":10701,"amount":189185.290416,"timestamp":1787664455353,"change":0.07,"changeRate":0.003959,"amplitude":0.009615},"postHourTrading":{"tag":"盘后","latestPrice":17.65,"preClose":17.65,"latestTime":"19:48 EDT","volume":63290,"amount":1117050.023,"timestamp":1787701725412,"change":0,"changeRate":0,"amplitude":0.003297},"volumeRatio":1.092146,"impliedVol":0.4669,"impliedVolPercentile":0.0996},"@#url:\"https://hq.skytigris.cn/stock_info/fundamental/all\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"LYFT\",,,,,undefined,":{"symbol":"LYFT","floatShares":340000000,"roa":"-0.86%","roe":"152.58%","lyrEps":6.92,"volumeRatio":1.092146,"shares":380000000,"dividePrice":0,"high":17.97,"amplitude":0.034502,"preClose":17.68,"low":17.36,"week52Low":12.46,"pbRate":"2.22","psRate":"0.99","week52High":25.54,"institutionHeld":0,"latestPrice":17.65,"eps":7.227076,"divideRate":0,"volume":10385259,"delay":0,"ttmEps":7.227076,"open":17.68,"prevYearClose":19.37,"prevWeekClose":17.47,"prevMonthClose":15.86,"prevQuarterClose":14.61,"fiveDayClose":16.93,"twentyDayClose":15.45,"sixtyDayClose":14.11},"@#url:\"https://hq.skytigris.cn/fundamental/corporate_actions/details/LYFT\",params:#limit:5,,,undefined,":[{"market":"US","date":"2026-08-06","symbol":"LYFT","fiscalQuarterEnding":"2026/06","expectedEps":0.17,"name":null,"time":"盤後","type":"earning","dateTimestamp":1785988800000,"reportTimeType":"post","actualEps":0.13},{"market":"US","date":"2026-05-07","symbol":"LYFT","fiscalQuarterEnding":"2026/03","expectedEps":0.08,"name":null,"time":"盤後","type":"earning","dateTimestamp":1778126400000,"reportTimeType":"post","actualEps":0.04},{"market":"US","date":"2026-02-10","symbol":"LYFT","fiscalQuarterEnding":"2025/12","expectedEps":0.13,"name":null,"time":"盤後","type":"earning","dateTimestamp":1770699600000,"reportTimeType":"post","actualEps":0.1},{"market":"US","date":"2025-11-05","symbol":"LYFT","fiscalQuarterEnding":"2025/09","expectedEps":0.09,"name":null,"time":"盤後","type":"earning","dateTimestamp":1762318800000,"reportTimeType":"post","actualEps":0.13},{"market":"US","date":"2025-08-06","symbol":"LYFT","fiscalQuarterEnding":"2025/06","expectedEps":0.06,"name":null,"time":"盤後","type":"earning","dateTimestamp":1754452800000,"reportTimeType":"post","actualEps":0.1}],"@#url:\"https://hq.skytigris.cn/fundamental/dividend/history\",params:#symbol:\"LYFT\",market:\"US\",,,undefined,":[],"@#url:\"https://hq.skytigris.cn/fundamental/estimate/recommendation\",params:#symbol:\"LYFT\",market:\"US\",delay:false,,,undefined,":{"strongBuy":0.0816,"buy":0.2857,"hold":0.5918,"sell":0.0204,"strongSell":0.0204,"meanLabel":"HOLD","meanPercent":0.5918,"analysts":49,"updateTime":1786593600000},"@#url:\"https://hq.skytigris.cn/value_analysis/stock/LYFT\",params:#withQuantilePoint:true,period:\"5year\",factor:\"peRate\",delay:false,algorithm:1,,,undefined,":{"brief":{"id":"LYFT","date":"2026-08-24","current":2.442205,"percent":0.793974,"low":-118.172202,"twenty":-13.614097,"median":-4.222003,"eighty":44.179427,"high":264.004855,"avg":9.526887,"sd":66.220588,"marketCap":6613098150},"quantilePoints":[{"date":"2021-08-27","current":-10.159453,"twenty":-10.450004,"median":-6.584222,"eighty":-5.123599,"marketCap":16223924731},{"date":"2021-09-03","current":-10.121662,"twenty":-10.442863,"median":-6.736359,"eighty":-5.125706,"marketCap":16163575352},{"date":"2021-09-10","current":-10.499571,"twenty":-10.469524,"median":-6.778726,"eighty":-5.126511,"marketCap":16767069143},{"date":"2021-09-17","current":-10.955161,"twenty":-10.496318,"median":-6.942776,"eighty":-5.129823,"marketCap":17494614435},{"date":"2021-09-24","current":-11.727775,"twenty":-10.540322,"median":-7.002747,"eighty":-5.132399,"marketCap":18728423962},{"date":"2021-10-01","current":-11.647994,"twenty":-10.564839,"median":-7.15965,"eighty":-5.134209,"marketCap":18601019717},{"date":"2021-10-08","current":-11.524124,"twenty":-10.613783,"median":-7.328546,"eighty":-5.136559,"marketCap":18403207863},{"date":"2021-10-15","current":-10.829191,"twenty":-10.664914,"median":-7.482977,"eighty":-5.140389,"marketCap":17293449838},{"date":"2021-10-22","current":-10.144756,"twenty":-10.652614,"median":-7.582058,"eighty":-5.147697,"marketCap":16200455528},{"date":"2021-10-29","current":-9.63038,"twenty":-10.631782,"median":-7.592102,"eighty":-5.151281,"marketCap":15379033425},{"date":"2021-11-05","current":-14.748607,"twenty":-10.677557,"median":-7.618995,"eighty":-5.152348,"marketCap":18245884904},{"date":"2021-11-12","current":-14.58611,"twenty":-10.726389,"median":-7.696898,"eighty":-5.155923,"marketCap":18044856480},{"date":"2021-11-19","current":-13.085085,"twenty":-10.743603,"median":-7.970786,"eighty":-5.162127,"marketCap":16187899006},{"date":"2021-11-26","current":-11.677702,"twenty":-10.796615,"median":-8.086904,"eighty":-5.165468,"marketCap":14446788420},{"date":"2021-12-03","current":-10.870728,"twenty":-10.816041,"median":-8.339804,"eighty":-5.166814,"marketCap":13448460824},{"date":"2021-12-10","current":-10.881745,"twenty":-10.856702,"median":-8.505421,"eighty":-5.176675,"marketCap":13462089870},{"date":"2021-12-17","current":-10.485144,"twenty":-10.844367,"median":-8.630353,"eighty":-5.190901,"marketCap":12971444225},{"date":"2021-12-23","current":-12.167945,"twenty":-10.859658,"median":-8.677634,"eighty":-5.192937,"marketCap":15053280953},{"date":"2021-12-31","current":-11.768589,"twenty":-10.883371,"median":-8.753862,"eighty":-5.196099,"marketCap":14559228047},{"date":"2022-01-07","current":-11.870494,"twenty":-10.939888,"median":-8.87651,"eighty":-5.19691,"marketCap":14685296720},{"date":"2022-01-14","current":-11.363726,"twenty":-11.004289,"median":-8.900076,"eighty":-5.19819,"marketCap":14058360618},{"date":"2022-01-21","current":-10.135364,"twenty":-10.99925,"median":-8.954868,"eighty":-5.199591,"marketCap":12538722025},{"date":"2022-01-28","current":-9.846175,"twenty":-10.996795,"median":-9.010592,"eighty":-5.200874,"marketCap":12180959576},{"date":"2022-02-04","current":-10.377731,"twenty":-10.955161,"median":-9.022917,"eighty":-5.211043,"marketCap":12838561030},{"date":"2022-02-11","current":-12.987015,"twenty":-11.005549,"median":-9.085759,"eighty":-5.220492,"marketCap":13794079537},{"date":"2022-02-18","current":-13.399455,"twenty":-11.087357,"median":-9.106571,"eighty":-5.228732,"marketCap":14232151080},{"date":"2022-02-25","current":-12.53885,"twenty":-11.177749,"median":-9.136639,"eighty":-5.235177,"marketCap":13318064790},{"date":"2022-03-04","current":-11.577623,"twenty":-11.212563,"median":-9.141298,"eighty":-5.236815,"marketCap":12297103061},{"date":"2022-03-11","current":-12.224106,"twenty":-11.267881,"median":-9.187407,"eighty":-5.241849,"marketCap":12983761026},{"date":"2022-03-18","current":-12.673691,"twenty":-11.315748,"median":-9.206886,"eighty":-5.243215,"marketCap":13461284586},{"date":"2022-03-25","current":-12.309429,"twenty":-11.364268,"median":-9.25205,"eighty":-5.243499,"marketCap":13074385935},{"date":"2022-04-01","current":-12.31271,"twenty":-11.39347,"median":-9.259508,"eighty":-5.243702,"marketCap":13077871509},{"date":"2022-04-08","current":-11.023026,"twenty":-11.405904,"median":-9.301861,"eighty":-5.24423,"marketCap":11708041151},{"date":"2022-04-14","current":-11.662946,"twenty":-11.412894,"median":-9.344119,"eighty":-5.244736,"marketCap":12387727970},{"date":"2022-04-22","current":-10.881916,"twenty":-11.418953,"median":-9.379006,"eighty":-5.247023,"marketCap":11558161493},{"date":"2022-04-29","current":-10.698251,"twenty":-11.412894,"median":-9.396304,"eighty":-5.25585,"marketCap":11363083481},{"date":"2022-05-06","current":-9.177694,"twenty":-11.412894,"median":-9.397274,"eighty":-5.264892,"marketCap":7148982889},{"date":"2022-05-13","current":-8.934624,"twenty":-11.40677,"median":-9.394389,"eighty":-5.268746,"marketCap":6959642860},{"date":"2022-05-20","current":-8.519164,"twenty":-11.40088,"median":-9.362999,"eighty":-5.271738,"marketCap":6636019467},{"date":"2022-05-27","current":-7.938413,"twenty":-11.394629,"median":-9.303984,"eighty":-5.273722,"marketCap":6183642681},{"date":"2022-06-03","current":-7.773122,"twenty":-11.38541,"median":-9.295458,"eighty":-5.276244,"marketCap":6054889288},{"date":"2022-06-10","current":-7.044951,"twenty":-11.37338,"median":-9.253958,"eighty":-5.282669,"marketCap":5487678395},{"date":"2022-06-17","current":-6.651827,"twenty":-11.369091,"median":-9.223425,"eighty":-5.288529,"marketCap":5181454109},{"date":"2022-06-24","current":-7.299587,"twenty":-11.365893,"median":-9.20404,"eighty":-5.292782,"marketCap":5686028216},{"date":"2022-07-01","current":-6.021936,"twenty":-11.362531,"median":-9.182551,"eighty":-5.303755,"marketCap":4690799287},{"date":"2022-07-08","current":-5.986198,"twenty":-11.357753,"median":-9.159363,"eighty":-5.30723,"marketCap":4662960716},{"date":"2022-07-15","current":-5.780701,"twenty":-11.357753,"median":-9.136639,"eighty":-5.308718,"marketCap":4502888930},{"date":"2022-07-22","current":-6.04874,"twenty":-11.349802,"median":-9.117758,"eighty":-5.317717,"marketCap":4711678216},{"date":"2022-07-29","current":-6.191694,"twenty":-11.33343,"median":-9.085762,"eighty":-5.329252,"marketCap":4823032501},{"date":"2022-08-05","current":-7.910871,"twenty":-11.318374,"median":-9.047915,"eighty":-5.339292,"marketCap":7153642438},{"date":"2022-08-12","current":-7.567599,"twenty":-11.315092,"median":-9.021229,"eighty":-5.349801,"marketCap":6843227974},{"date":"2022-08-19","current":-6.494872,"twenty":-11.305777,"median":-9.000974,"eighty":-5.350675,"marketCap":5873182771},{"date":"2022-08-26","current":-5.839533,"twenty":-11.299478,"median":-8.948136,"eighty":-5.35231,"marketCap":5280573338},{"date":"2022-09-02","current":-5.695203,"twenty":-11.270085,"median":-8.895253,"eighty":-5.363923,"marketCap":5150058166},{"date":"2022-09-09","current":-7.064392,"twenty":-11.267881,"median":-8.87651,"eighty":-5.369145,"marketCap":6388188588},{"date":"2022-09-16","current":-6.346641,"twenty":-11.254418,"median":-8.77682,"eighty":-5.3755,"marketCap":5739140161},{"date":"2022-09-23","current":-5.457253,"twenty":-11.235115,"median":-8.71693,"eighty":-5.376768,"marketCap":4934884502},{"date":"2022-09-30","current":-5.137385,"twenty":-11.227033,"median":-8.650362,"eighty":-5.369145,"marketCap":4645634660},{"date":"2022-10-07","current":-4.879931,"twenty":-11.212563,"median":-8.581119,"eighty":-5.351983,"marketCap":4412823812},{"date":"2022-10-14","current":-4.59127,"twenty":-11.197442,"median":-8.519164,"eighty":-5.337284,"marketCap":4151793466},{"date":"2022-10-21","current":-5.289517,"twenty":-11.193837,"median":-8.439106,"eighty":-5.306361,"marketCap":4783204707},{"date":"2022-10-28","current":-5.663996,"twenty":-11.186497,"median":-8.331604,"eighty":-5.30842,"marketCap":5121838669},{"date":"2022-11-04","current":-5.359732,"twenty":-11.179276,"median":-8.297515,"eighty":-5.315917,"marketCap":4846698575},{"date":"2022-11-11","current":-3.736547,"twenty":-11.177749,"median":-8.108171,"eighty":-5.290108,"marketCap":4583872087},{"date":"2022-11-18","current":-3.298164,"twenty":-11.137973,"median":-8.0079,"eighty":-5.274026,"marketCap":4046079220},{"date":"2022-11-25","current":-3.277569,"twenty":-11.11753,"median":-7.927245,"eighty":-5.268746,"marketCap":4020813783},{"date":"2022-12-02","current":-3.265801,"twenty":-11.104387,"median":-7.898207,"eighty":-5.247023,"marketCap":4006376391},{"date":"2022-12-09","current":-3.221668,"twenty":-11.092532,"median":-7.824497,"eighty":-5.243435,"marketCap":3952236169},{"date":"2022-12-16","current":-3.262858,"twenty":-11.086141,"median":-7.735334,"eighty":-5.233566,"marketCap":4002767042},{"date":"2022-12-23","current":-3.003948,"twenty":-11.053837,"median":-7.683434,"eighty":-5.200361,"marketCap":3685144410},{"date":"2022-12-30","current":-3.242263,"twenty":-11.028916,"median":-7.657839,"eighty":-5.196244,"marketCap":3977501606},{"date":"2023-01-06","current":-3.512942,"twenty":-11.021057,"median":-7.620114,"eighty":-5.190437,"marketCap":4309561631},{"date":"2023-01-13","current":-4.263194,"twenty":-11.012494,"median":-7.595913,"eighty":-5.16523,"marketCap":5229945396},{"date":"2023-01-20","current":-4.530931,"twenty":-11.009748,"median":-7.582449,"eighty":-5.151281,"marketCap":5558396074},{"date":"2023-01-27","current":-4.760419,"twenty":-11.005549,"median":-7.568305,"eighty":-5.137385,"marketCap":5839925225},{"date":"2023-02-03","current":-5.113479,"twenty":-10.99925,"median":-7.567599,"eighty":-5.131831,"marketCap":6273046997},{"date":"2023-02-10","current":-2.408502,"twenty":-10.996795,"median":-7.517023,"eighty":-5.124287,"marketCap":3816297926},{"date":"2023-02-17","current":-2.635102,"twenty":-10.977083,"median":-7.464878,"eighty":-5.113479,"marketCap":4175348264},{"date":"2023-02-24","current":-2.382805,"twenty":-10.959545,"median":-7.438074,"eighty":-5.103431,"marketCap":3775580877},{"date":"2023-03-03","current":-2.414756,"twenty":-10.946763,"median":-7.335279,"eighty":-5.084707,"marketCap":3826208045},{"date":"2023-03-10","current":-2.078313,"twenty":-10.93647,"median":-7.282838,"eighty":-5.077774,"marketCap":3293109889},{"date":"2023-03-17","current":-2.40044,"twenty":-10.923513,"median":-7.215053,"eighty":-5.05867,"marketCap":3803523017},{"date":"2023-03-24","current":-2.355103,"twenty":-10.916536,"median":-7.098558,"eighty":-5.050131,"marketCap":3731687096},{"date":"2023-03-31","current":-2.211936,"twenty":-10.890172,"median":-7.079242,"eighty":-5.036813,"marketCap":3504836816},{"date":"2023-04-06","current":-2.238183,"twenty":-10.883806,"median":-7.029022,"eighty":-5.025383,"marketCap":3546426034},{"date":"2023-04-14","current":-2.386123,"twenty":-10.882661,"median":-7.002747,"eighty":-5.005363,"marketCap":3780837990},{"date":"2023-04-21","current":-2.347945,"twenty":-10.881813,"median":-6.942776,"eighty":-4.973877,"marketCap":3720344582},{"date":"2023-04-28","current":-2.433845,"twenty":-10.875135,"median":-6.86545,"eighty":-4.951528,"marketCap":3856454749},{"date":"2023-05-05","current":-2.566062,"twenty":-10.868744,"median":-6.775586,"eighty":-4.937431,"marketCap":4042132550},{"date":"2023-05-12","current":-2.018763,"twenty":-10.862985,"median":-6.736359,"eighty":-4.925521,"marketCap":3180012605},{"date":"2023-05-19","current":-2.00196,"twenty":-10.858919,"median":-6.663068,"eighty":-4.902245,"marketCap":3153544010},{"date":"2023-05-26","current":-1.953952,"twenty":-10.857447,"median":-6.6275,"eighty":-4.864896,"marketCap":3077919453},{"date":"2023-06-02","current":-2.246804,"twenty":-10.855968,"median":-6.593851,"eighty":-4.847251,"marketCap":3539229248},{"date":"2023-06-09","current":-2.544458,"twenty":-10.844367,"median":-6.577642,"eighty":-4.815693,"marketCap":4008101499},{"date":"2023-06-16","current":-2.532456,"twenty":-10.82674,"median":-6.553546,"eighty":-4.752698,"marketCap":3989195360},{"date":"2023-06-23","current":-2.472445,"twenty":-10.822694,"median":-6.494872,"eighty":-4.695786,"marketCap":3894664664},{"date":"2023-06-30","current":-2.362025,"twenty":-10.821216,"median":-6.409409,"eighty":-4.66627,"marketCap":3720728184},{"date":"2023-07-07","current":-2.294813,"twenty":-10.810866,"median":-6.383789,"eighty":-4.641343,"marketCap":3614853805},{"date":"2023-07-14","current":-2.772499,"twenty":-10.805321,"median":-6.358355,"eighty":-4.598964,"marketCap":4367318143},{"date":"2023-07-21","current":-2.741293,"twenty":-10.798472,"median":-6.334938,"eighty":-4.533285,"marketCap":4318162181},{"date":"2023-07-28","current":-2.868516,"twenty":-10.796284,"median":-6.315349,"eighty":-4.472794,"marketCap":4518567256},{"date":"2023-08-04","current":-2.762897,"twenty":-10.795497,"median":-6.272292,"eighty":-4.355009,"marketCap":4352193232},{"date":"2023-08-11","current":-3.249447,"twenty":-10.774127,"median":-6.260937,"eighty":-4.305431,"marketCap":4264067133},{"date":"2023-08-18","current":-3.255334,"twenty":-10.761832,"median":-6.209563,"eighty":-4.239983,"marketCap":4271791892},{"date":"2023-08-25","current":-3.114053,"twenty":-10.740636,"median":-6.196162,"eighty":-4.176686,"marketCap":4086397669},{"date":"2023-09-01","current":-3.467254,"twenty":-10.733879,"median":-6.174543,"eighty":-4.033996,"marketCap":4549883227},{"date":"2023-09-08","current":-3.175863,"twenty":-10.73257,"median":-6.141269,"eighty":-3.872613,"marketCap":4167507642},{"date":"2023-09-15","current":-3.337747,"twenty":-10.732462,"median":-6.079039,"eighty":-3.824223,"marketCap":4379938523},{"date":"2023-09-22","current":-3.04047,"twenty":-10.730898,"median":-6.051728,"eighty":-3.736547,"marketCap":3989838178},{"date":"2023-09-29","current":-3.09345,"twenty":-10.727141,"median":-6.032809,"eighty":-3.601561,"marketCap":4059361012},{"date":"2023-10-06","current":-3.016923,"twenty":-10.71874,"median":-6.012652,"eighty":-3.546178,"marketCap":3958939141},{"date":"2023-10-13","current":-3.1376,"twenty":-10.708728,"median":-5.987765,"eighty":-3.504115,"marketCap":4117296706},{"date":"2023-10-20","current":-2.96983,"twenty":-10.703825,"median":-5.979529,"eighty":-3.474318,"marketCap":3897141066},{"date":"2023-10-27","current":-2.775569,"twenty":-10.700109,"median":-5.970368,"eighty":-3.444943,"marketCap":3642224009},{"date":"2023-11-03","current":-2.92568,"twenty":-10.688689,"median":-5.960913,"eighty":-3.417336,"marketCap":3839205372},{"date":"2023-11-10","current":-4.391036,"twenty":-10.674643,"median":-5.953335,"eighty":-3.399279,"marketCap":3961342153},{"date":"2023-11-17","current":-4.530434,"twenty":-10.662643,"median":-5.945992,"eighty":-3.410825,"marketCap":4087099047},{"date":"2023-11-24","current":-4.473803,"twenty":-10.6535,"median":-5.93259,"eighty":-3.416229,"marketCap":4036010309},{"date":"2023-12-01","current":-5.109806,"twenty":-10.648033,"median":-5.907767,"eighty":-3.422685,"marketCap":4609776136},{"date":"2023-12-08","current":-5.41474,"twenty":-10.640952,"median":-5.891893,"eighty":-3.425833,"marketCap":4884869341},{"date":"2023-12-15","current":-6.634472,"twenty":-10.627454,"median":-5.905075,"eighty":-3.433111,"marketCap":5985242162},{"date":"2023-12-22","current":-6.791294,"twenty":-10.613986,"median":-5.918546,"eighty":-3.443163,"marketCap":6126718667},{"date":"2023-12-29","current":-6.769513,"twenty":-10.609015,"median":-5.938664,"eighty":-3.45083,"marketCap":6107069153},{"date":"2024-01-05","current":-5.658686,"twenty":-10.608812,"median":-5.93259,"eighty":-3.463148,"marketCap":5104943906},{"date":"2024-01-12","current":-5.793728,"twenty":-10.608687,"median":-5.907767,"eighty":-3.481382,"marketCap":5226770896},{"date":"2024-01-19","current":-5.558494,"twenty":-10.606197,"median":-5.903498,"eighty":-3.488186,"marketCap":5014556138},{"date":"2024-01-26","current":-5.475726,"twenty":-10.604546,"median":-5.890405,"eighty":-3.491755,"marketCap":4939887983},{"date":"2024-02-02","current":-5.615124,"twenty":-10.599507,"median":-5.856361,"eighty":-3.496011,"marketCap":5065644876},{"date":"2024-02-09","current":-5.567206,"twenty":-10.590688,"median":-5.839533,"eighty":-3.507058,"marketCap":5022415944},{"date":"2024-02-16","current":-22.356318,"twenty":-10.604546,"median":-5.841703,"eighty":-3.518238,"marketCap":7608301995},{"date":"2024-02-23","current":-18.691007,"twenty":-10.608947,"median":-5.856361,"eighty":-3.524274,"marketCap":6360923531},{"date":"2024-03-01","current":-18.655763,"twenty":-10.648329,"median":-5.890405,"eighty":-3.535101,"marketCap":6348929332},{"date":"2024-03-08","current":-21.205071,"twenty":-10.69347,"median":-5.903498,"eighty":-3.546178,"marketCap":7216509725},{"date":"2024-03-15","current":-20.92312,"twenty":-10.727141,"median":-5.909748,"eighty":-3.550353,"marketCap":7120556133},{"date":"2024-03-22","current":-23.824866,"twenty":-10.73451,"median":-5.938664,"eighty":-3.562927,"marketCap":8108078517},{"date":"2024-03-28","current":-22.885029,"twenty":-10.790038,"median":-5.945992,"eighty":-3.577994,"marketCap":7788233210},{"date":"2024-04-05","current":-20.464949,"twenty":-10.790038,"median":-5.945992,"eighty":-3.577994,"marketCap":6964631546},{"date":"2024-04-12","current":-22.932021,"twenty":-10.790038,"median":-5.945992,"eighty":-3.577994,"marketCap":7804225476},{"date":"2024-04-19","current":-19.630844,"twenty":-10.790038,"median":-5.945992,"eighty":-3.577994,"marketCap":6680768837},{"date":"2024-04-26","current":-19.035378,"twenty":-10.795808,"median":-5.945992,"eighty":-3.582,"marketCap":6478119951},{"date":"2024-05-03","current":-19.947466,"twenty":-10.795808,"median":-5.945992,"eighty":-3.582,"marketCap":6788521467},{"date":"2024-05-10","current":-37.728245,"twenty":-10.8068,"median":-5.945992,"eighty":-3.582,"marketCap":6949769008},{"date":"2024-05-17","current":-37.127171,"twenty":-10.855968,"median":-5.945992,"eighty":-3.582,"marketCap":6839047698},{"date":"2024-05-24","current":-33.797773,"twenty":-10.877338,"median":-5.945992,"eighty":-3.582,"marketCap":6225752565},{"date":"2024-05-31","current":-34.520603,"twenty":-10.902823,"median":-5.945992,"eighty":-3.582,"marketCap":6358902166},{"date":"2024-06-07","current":-34.367275,"twenty":-10.968314,"median":-5.945992,"eighty":-3.582,"marketCap":6330658311},{"date":"2024-06-14","current":-31.716899,"twenty":-11.008908,"median":-5.945992,"eighty":-3.577994,"marketCap":5842443107},{"date":"2024-06-21","current":-30.117912,"twenty":-11.08533,"median":-5.945992,"eighty":-3.573987,"marketCap":5547900050},{"date":"2024-06-28","current":-29.32937,"twenty":-11.106432,"median":-5.938664,"eighty":-3.562927,"marketCap":5402645939},{"date":"2024-07-05","current":-29.32937,"twenty":-11.18199,"median":-5.938664,"eighty":-3.562927,"marketCap":5402645939},{"date":"2024-07-12","current":-29.636025,"twenty":-11.229064,"median":-5.938664,"eighty":-3.562927,"marketCap":5459133649},{"date":"2024-07-15","current":-28.71606,"twenty":-11.243152,"median":-5.938664,"eighty":-3.562927,"marketCap":5289670520},{"date":"2024-08-02","current":-25.014295,"twenty":-11.300738,"median":-5.891893,"eighty":-3.542171,"marketCap":4607783168},{"date":"2024-08-09","current":-63.611351,"twenty":-11.351392,"median":-5.891893,"eighty":-3.542171,"marketCap":4130285048},{"date":"2024-08-16","current":-68.28587,"twenty":-11.371701,"median":-5.891893,"eighty":-3.542171,"marketCap":4433801526},{"date":"2024-08-23","current":-72.455035,"twenty":-11.411131,"median":-5.891893,"eighty":-3.542171,"marketCap":4704505412},{"date":"2024-08-30","current":-72.960388,"twenty":-11.439767,"median":-5.891893,"eighty":-3.542171,"marketCap":4737318004},{"date":"2024-09-06","current":-71.065313,"twenty":-11.482554,"median":-5.902632,"eighty":-3.542171,"marketCap":4614270783},{"date":"2024-09-13","current":-73.402572,"twenty":-11.55234,"median":-5.909748,"eighty":-3.542171,"marketCap":4766029022},{"date":"2024-09-20","current":-79.150967,"twenty":-11.610157,"median":-5.909748,"eighty":-3.542171,"marketCap":5139272259},{"date":"2024-09-27","current":-83.888654,"twenty":-11.638742,"median":-5.945992,"eighty":-3.542171,"marketCap":5446890311},{"date":"2024-10-04","current":-78.077091,"twenty":-11.678479,"median":-5.987765,"eighty":-3.542171,"marketCap":5069545501},{"date":"2024-10-11","current":-78.392937,"twenty":-11.717917,"median":-6.029571,"eighty":-3.542171,"marketCap":5090053371},{"date":"2024-10-18","current":-86.036406,"twenty":-11.768804,"median":-6.085592,"eighty":-3.542171,"marketCap":5586343828},{"date":"2024-10-25","current":-87.047112,"twenty":-11.84332,"median":-6.200629,"eighty":-3.542171,"marketCap":5651969013},{"date":"2024-10-31","current":-86.352252,"twenty":-11.909715,"median":-6.254236,"eighty":-3.542171,"marketCap":5606851699},{"date":"2024-11-08","current":-112.451116,"twenty":-11.963301,"median":-6.33256,"eighty":-3.538636,"marketCap":7338110041},{"date":"2024-11-15","current":-113.913171,"twenty":-12.017873,"median":-6.387157,"eighty":-3.538636,"marketCap":7433517916},{"date":"2024-11-22","current":-103.55165,"twenty":-12.092593,"median":-6.540144,"eighty":-3.538636,"marketCap":6757366453},{"date":"2024-11-29","current":-110.353385,"twenty":-12.127963,"median":-6.573819,"eighty":-3.538636,"marketCap":7201220481},{"date":"2024-12-06","current":-98.529808,"twenty":-12.160561,"median":-6.643149,"eighty":-3.538636,"marketCap":6429661144},{"date":"2024-12-13","current":-94.397913,"twenty":-12.269299,"median":-6.725369,"eighty":-3.538636,"marketCap":6160030192},{"date":"2024-12-20","current":-86.324825,"twenty":-12.355372,"median":-6.78729,"eighty":-3.538636,"marketCap":5633212795},{"date":"2024-12-27","current":-87.53261,"twenty":-12.400635,"median":-6.968127,"eighty":-3.538636,"marketCap":5712027996},{"date":"2025-01-03","current":-86.769799,"twenty":-12.465435,"median":-7.054671,"eighty":-3.538636,"marketCap":5662249975},{"date":"2025-01-10","current":-84.926338,"twenty":-12.546902,"median":-7.108369,"eighty":-3.535101,"marketCap":5541953089},{"date":"2025-01-17","current":-86.45196,"twenty":-12.620457,"median":-7.328546,"eighty":-3.535101,"marketCap":5641509132},{"date":"2025-01-24","current":-86.45196,"twenty":-12.738668,"median":-7.464878,"eighty":-3.535101,"marketCap":5641509132},{"date":"2025-01-31","current":-86.19769,"twenty":-12.987015,"median":-7.567599,"eighty":-3.535101,"marketCap":5624916458},{"date":"2025-02-07","current":-89.439639,"twenty":-13.461863,"median":-7.595913,"eighty":-3.535101,"marketCap":5836473051},{"date":"2025-02-14","current":247.126157,"twenty":-13.558803,"median":-7.618995,"eighty":-3.504115,"marketCap":5630522352},{"date":"2025-02-21","current":246.945012,"twenty":-13.558803,"median":-7.618995,"eighty":-3.474318,"marketCap":5626395163},{"date":"2025-02-28","current":238.872516,"twenty":-13.558803,"median":-7.618995,"eighty":-3.421271,"marketCap":5442471399},{"date":"2025-03-07","current":221.626727,"twenty":-13.567066,"median":-7.620114,"eighty":-3.365144,"marketCap":5049543356},{"date":"2025-03-14","current":206.765995,"twenty":-13.567066,"median":-7.620114,"eighty":-3.345623,"marketCap":4710956426},{"date":"2025-03-21","current":215.572355,"twenty":-13.567066,"median":-7.620114,"eighty":-3.345623,"marketCap":4911600533},{"date":"2025-03-28","current":222.727522,"twenty":-13.567066,"median":-7.620114,"eighty":-3.343984,"marketCap":5074623869},{"date":"2025-04-04","current":210.618777,"twenty":-13.567066,"median":-7.620114,"eighty":-3.343984,"marketCap":4798738222},{"date":"2025-04-11","current":200.528156,"twenty":-13.558803,"median":-7.618995,"eighty":-3.339355,"marketCap":4568833517},{"date":"2025-04-17","current":198.876964,"twenty":-13.558803,"median":-7.618995,"eighty":-3.330473,"marketCap":4531212747},{"date":"2025-04-25","current":221.259796,"twenty":-13.567066,"median":-7.620114,"eighty":-3.298753,"marketCap":5041183185},{"date":"2025-05-02","current":230.035244,"twenty":-13.567066,"median":-7.620114,"eighty":-3.276263,"marketCap":5241123002},{"date":"2025-05-09","current":96.126751,"twenty":-13.567066,"median":-7.620114,"eighty":-3.266062,"marketCap":5468266375},{"date":"2025-05-16","current":120.010552,"twenty":-13.567066,"median":-7.620114,"eighty":-3.25109,"marketCap":6826920251},{"date":"2025-05-23","current":118.235904,"twenty":-13.567066,"median":-7.620114,"eighty":-3.223103,"marketCap":6725967641},{"date":"2025-05-30","current":113.50351,"twenty":-13.567066,"median":-7.620114,"eighty":-3.187637,"marketCap":6456760681},{"date":"2025-06-06","current":114.834496,"twenty":-13.567066,"median":-7.620114,"eighty":-3.172493,"marketCap":6532475138},{"date":"2025-06-13","current":114.169003,"twenty":-13.567066,"median":-7.620114,"eighty":-3.144412,"marketCap":6494617910},{"date":"2025-06-20","current":108.623229,"twenty":-13.575328,"median":-7.621234,"eighty":-3.130461,"marketCap":6179141003},{"date":"2025-06-27","current":117.200693,"twenty":-13.575328,"median":-7.621234,"eighty":-3.09345,"marketCap":6667078618},{"date":"2025-07-03","current":119.419003,"twenty":-13.575328,"median":-7.621234,"eighty":-3.061073,"marketCap":6793269381},{"date":"2025-07-11","current":113.281679,"twenty":-13.575328,"median":-7.621234,"eighty":-3.036312,"marketCap":6444141605},{"date":"2025-07-18","current":109.140835,"twenty":-13.575328,"median":-7.621234,"eighty":-3.008093,"marketCap":6208585515},{"date":"2025-07-25","current":106.330976,"twenty":-13.575328,"median":-7.621234,"eighty":-2.971584,"marketCap":6048743882},{"date":"2025-08-01","current":103.964779,"twenty":-13.575328,"median":-7.621234,"eighty":-2.928527,"marketCap":5914140402},{"date":"2025-08-08","current":63.369885,"twenty":-13.575328,"median":-7.621234,"eighty":-2.903915,"marketCap":5841816260},{"date":"2025-08-15","current":64.458538,"twenty":-13.575328,"median":-7.621234,"eighty":-2.801304,"marketCap":5942174817},{"date":"2025-08-22","current":69.705164,"twenty":-13.575328,"median":-7.621234,"eighty":-2.772499,"marketCap":6425840209},{"date":"2025-08-29","current":71.138065,"twenty":-13.575328,"median":-7.621234,"eighty":-2.741293,"marketCap":6557933699},{"date":"2025-09-05","current":74.025914,"twenty":-13.594713,"median":-7.635503,"eighty":-2.696533,"marketCap":6824152885},{"date":"2025-09-12","current":80.771575,"twenty":-13.575328,"median":-7.621234,"eighty":-2.604469,"marketCap":7446008389},{"date":"2025-09-19","current":96.820075,"twenty":-13.575328,"median":-7.621234,"eighty":-2.544458,"marketCap":8925455471},{"date":"2025-09-26","current":95.100593,"twenty":-13.575328,"median":-7.621234,"eighty":-2.51129,"marketCap":8766943284},{"date":"2025-10-03","current":99.685879,"twenty":-13.575328,"median":-7.621234,"eighty":-2.495885,"marketCap":9189642450},{"date":"2025-10-10","current":86.944075,"twenty":-13.575328,"median":-7.621234,"eighty":-2.472445,"marketCap":8015026498},{"date":"2025-10-17","current":87.605414,"twenty":-13.575328,"median":-7.621234,"eighty":-2.460093,"marketCap":8075992724},{"date":"2025-10-24","current":90.691664,"twenty":-13.575328,"median":-7.621234,"eighty":-2.438618,"marketCap":8360501778},{"date":"2025-10-31","current":87.076343,"twenty":-13.575328,"median":-7.621234,"eighty":-2.426687,"marketCap":8027219743},{"date":"2025-11-07","current":56.317506,"twenty":-13.575328,"median":-7.621234,"eighty":-2.398054,"marketCap":8486259707},{"date":"2025-11-14","current":63.075607,"twenty":-13.575328,"median":-7.621234,"eighty":-2.382805,"marketCap":9504610872},{"date":"2025-11-21","current":52.368655,"twenty":-13.575328,"median":-7.595913,"eighty":-2.362262,"marketCap":7891223144},{"date":"2025-11-28","current":55.734454,"twenty":-13.575328,"median":-7.567599,"eighty":-2.347945,"marketCap":8398401959},{"date":"2025-12-05","current":59.683305,"twenty":-13.575328,"median":-7.469345,"eighty":-2.333628,"marketCap":8993438522},{"date":"2025-12-12","current":54.382834,"twenty":-13.575328,"median":-7.282838,"eighty":-2.294813,"marketCap":8194731726},{"date":"2025-12-19","current":52.633679,"twenty":-13.575328,"median":-7.064392,"eighty":-2.246804,"marketCap":7931158484},{"date":"2025-12-26","current":51.97112,"twenty":-13.575328,"median":-6.813075,"eighty":-2.171372,"marketCap":7831320134},{"date":"2026-01-02","current":51.335063,"twenty":-13.575328,"median":-6.772445,"eighty":-2.143586,"marketCap":7735475319},{"date":"2026-01-09","current":51.52058,"twenty":-13.575328,"median":-6.673677,"eighty":-2.078313,"marketCap":7763430057},{"date":"2026-01-16","current":50.036448,"twenty":-13.575328,"median":-6.584591,"eighty":-2.030591,"marketCap":7539792154},{"date":"2026-01-23","current":48.234287,"twenty":-13.575328,"median":-6.560416,"eighty":-2.006761,"marketCap":7268231843},{"date":"2026-01-30","current":47.041681,"twenty":-13.575328,"median":-6.383789,"eighty":-1.94675,"marketCap":7088522814},{"date":"2026-02-06","current":41.979732,"twenty":-13.575328,"median":-6.267638,"eighty":42.827807,"marketCap":6325757824},{"date":"2026-02-13","current":1.826754,"twenty":-13.575328,"median":-6.200629,"eighty":44.020413,"marketCap":5195304193},{"date":"2026-02-20","current":1.945738,"twenty":-13.575328,"median":-6.147021,"eighty":44.020413,"marketCap":5533695653},{"date":"2026-02-27","current":1.973735,"twenty":-13.575328,"median":-6.021936,"eighty":44.020413,"marketCap":5613317174},{"date":"2026-03-06","current":1.844952,"twenty":-13.575328,"median":-5.986198,"eighty":44.020413,"marketCap":5247058181},{"date":"2026-03-13","current":1.812756,"twenty":-13.575328,"median":-5.905786,"eighty":44.020413,"marketCap":5155493432},{"date":"2026-03-20","current":1.872948,"twenty":-13.575328,"median":-5.793728,"eighty":44.020413,"marketCap":5326679701},{"date":"2026-03-27","current":1.819055,"twenty":-13.575328,"median":-5.757616,"eighty":44.020413,"marketCap":5173408274},{"date":"2026-04-02","current":1.86035,"twenty":-13.575328,"median":-5.742013,"eighty":44.020413,"marketCap":5290850017},{"date":"2026-04-10","current":1.850551,"twenty":-13.575328,"median":-5.710806,"eighty":44.020413,"marketCap":5262982485},{"date":"2026-04-17","current":1.977795,"twenty":-13.575328,"median":-5.663996,"eighty":44.020413,"marketCap":5624863660},{"date":"2026-04-24","current":1.885085,"twenty":-13.575328,"median":-5.610768,"eighty":44.020413,"marketCap":5361198176},{"date":"2026-05-01","current":1.901209,"twenty":-13.575328,"median":-5.558494,"eighty":44.020413,"marketCap":5407053043},{"date":"2026-05-08","current":1.894769,"twenty":-13.575328,"median":-5.528,"eighty":44.020413,"marketCap":5410874282},{"date":"2026-05-15","current":1.735082,"twenty":-13.575328,"median":-5.488795,"eighty":44.020413,"marketCap":4954857042},{"date":"2026-05-22","current":1.792253,"twenty":-13.575328,"median":-5.449451,"eighty":44.020413,"marketCap":5118120531},{"date":"2026-05-29","current":1.837458,"twenty":-13.594713,"median":-5.422799,"eighty":44.09992,"marketCap":5247212592},{"date":"2026-06-05","current":1.877345,"twenty":-13.575328,"median":-5.383137,"eighty":44.020413,"marketCap":5361117351},{"date":"2026-06-12","current":1.822833,"twenty":-13.575328,"median":-5.331972,"eighty":44.020413,"marketCap":5205447513},{"date":"2026-06-18","current":1.881334,"twenty":-13.575328,"median":-5.273914,"eighty":44.020413,"marketCap":5372507827},{"date":"2026-06-26","current":1.872027,"twenty":-13.594713,"median":-5.125432,"eighty":44.09992,"marketCap":5345930050},{"date":"2026-07-02","current":1.971744,"twenty":-13.594713,"median":-5.072559,"eighty":44.09992,"marketCap":5630691949},{"date":"2026-07-10","current":2.092734,"twenty":-13.594713,"median":-4.933283,"eighty":44.09992,"marketCap":5976203053},{"date":"2026-07-17","current":2.124644,"twenty":-13.594713,"median":-4.745618,"eighty":44.09992,"marketCap":6067326861},{"date":"2026-07-24","current":1.864049,"twenty":-13.594713,"median":-4.625413,"eighty":44.09992,"marketCap":5323149098},{"date":"2026-07-31","current":2.067473,"twenty":-13.614097,"median":-4.533873,"eighty":44.179427,"marketCap":5904063372},{"date":"2026-08-07","current":2.156727,"twenty":-13.614097,"median":-4.519162,"eighty":44.179427,"marketCap":6180471000},{"date":"2026-08-14","current":2.262784,"twenty":-13.614097,"median":-4.465091,"eighty":44.179427,"marketCap":6484394465},{"date":"2026-08-21","current":2.29845,"twenty":-13.614097,"median":-4.255994,"eighty":44.179427,"marketCap":6586600332},{"date":"2026-08-24","current":2.307696,"twenty":-13.614097,"median":-4.222003,"eighty":44.179427,"marketCap":6613098150}],"updateTime":1787688457040},"$inf$@#url:\"https://stock-news.skytigris.cn/v2/news/list\",params:#symbols:\"LYFT\",pageSize:20,pageCount:4,lang_content:\"cn\",edition:\"fundamental\",,,undefined,":[{"items":[{"id":"2622814608","title":"Lyft推出司機援助計劃以應對油價上漲","url":"https://stock-news.laohu8.com/highlight/detail?id=2622814608","media":"格隆汇","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2622814608?lang=zh_tw&edition=fundamental","pubTime":"2026-03-26 09:46","pubTimestamp":1774489566,"startTime":"0","endTime":"0","summary":null,"market":"nz","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.gelonghui.com/rss/live/live.xml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"live_gelonghui","symbols":["OIH","DUG","VDE","BK4548","OILU","LYFT","LYFX","BK4230","DBO","BK4022","OILT","BK4588","BK4585"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2622008365","title":"美國油價攀升，Lyft推出司機補貼計劃","url":"https://stock-news.laohu8.com/highlight/detail?id=2622008365","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2622008365?lang=zh_tw&edition=fundamental","pubTime":"2026-03-25 23:50","pubTimestamp":1774453812,"startTime":"0","endTime":"0","summary":"路透3月25日 - 打车公司Lyft LYFT.O周三表示，由于汽油价格上涨挤压了临时工的收入，该公司将在美国推出一项临时司机减免计划。Lyft为期60天的计划将从3月27日持续到5月26日，为在符合条件的加油站使用Lyft Direct借记卡的司机提供返现奖励和燃油节省。该公司表示，按照全国平均油价每加仑 3.97 美元计算，包括 Lyft 合作伙伴提供的优惠在内，顶级司机每加仑可节省高达 94 美分。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:20260325:nL4S40D1KJ: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":["BK4230","LYFT","LU0353189680.USD","BK4548","LU2065171402.SGD","BK4551","LU2065170008.USD","BK4585","LU0786609619.USD","BK4549","LYFX","BK4536","BK4588","BK4503","BK4122","BK4505","LU0353189763.USD","DASX","LU2065169927.USD","LU2087625088.SGD","BK4535","BK4209","BK4022","LU2065171311.SGD","DASH"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1144472785","title":"Lyft推出額外返現福利：精英司機享2%返現，金級與白金級司機獲1%返現，需使用Lyft Direct商務借記卡","url":"https://stock-news.laohu8.com/highlight/detail?id=1144472785","media":"美股速递","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1144472785?lang=zh_tw&edition=fundamental","pubTime":"2026-03-25 23:09","pubTimestamp":1774451360,"startTime":"0","endTime":"0","summary":"Lyft, Inc.宣布为旗下司机推出新的返现激励计划。根据司机等级不同，返现比例有所差异：精英级别司机使用Lyft Direct商务借记卡消费可享受额外2%的现金返还；而金级和白金级司机则可获得1%的返现优惠。这一举措旨在通过金融福利进一步提升司机群体的忠诚度和活跃度。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"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":["LYFX","BK4548","LYFT","BK4588","BK4230","BK4022","BK4585"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1125066917","title":"Lyft推出60天司機援助計劃 3月27日至5月26日期間補貼燃油成本","url":"https://stock-news.laohu8.com/highlight/detail?id=1125066917","media":"美股速递","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1125066917?lang=zh_tw&edition=fundamental","pubTime":"2026-03-25 23:08","pubTimestamp":1774451323,"startTime":"0","endTime":"0","summary":"为缓解油价上涨对网约车司机造成的经济压力，Lyft公司正式启动为期60天的专项援助计划。该计划将于3月27日正式生效，持续至5月26日结束，期间将为平台司机提供燃油开支补贴。\n通过这项临时性举措，Lyft旨在帮助司机群体应对近期燃油价格波动带来的运营成本压力。公司表示将持续评估市场环境，在保障司机收入稳定性的同时维护叫车服务的正常运转。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4585","LYFX","LYFT","BK4022","BK4230","BK4588","BK4548"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1131644829","title":"Lyft與Mapup續簽六年戰略合作 為下一代出行提供智能收費解決方案","url":"https://stock-news.laohu8.com/highlight/detail?id=1131644829","media":"美股速递","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1131644829?lang=zh_tw&edition=fundamental","pubTime":"2026-03-25 21:03","pubTimestamp":1774443780,"startTime":"0","endTime":"0","summary":"Lyft, Inc.与Mapup宣布将延续长达六年的战略合作伙伴关系，双方将共同开发智能收费系统，为未来出行生态提供核心数据支持。此次合作深化将聚焦于通过实时路况分析和动态定价技术，优化网约车平台的运营效率与用户体验。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"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":["BK4548","BK4022","BK4585","BK4588","LYFT","LYFX","BK4230"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2622607143","title":"征服全球出行巨頭！Lyft CEO親測蘿蔔快跑：當場直呼Amazing","url":"https://stock-news.laohu8.com/highlight/detail?id=2622607143","media":"快科技","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2622607143?lang=zh_tw&edition=fundamental","pubTime":"2026-03-25 19:45","pubTimestamp":1774439121,"startTime":"0","endTime":"0","summary":"快科技3月25日消息，今日，全球出行巨头Lyft首席执行官David Risher到访百度，在北京亦庄实地试驾了乘萝卜快跑无人驾驶车辆，全程体验后当场用“Amazing”、“非常舒适”对萝卜快跑表达了高度认可。双方合作早在2025年8月就已启动，萝卜快跑与Lyft达成战略合作，成为其欧洲市场核心合作伙伴。同年12月，合作进一步升级，明确2026年在英国伦敦启动无人驾驶测试与出行服务。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://tech.ifeng.com/c/8rmu5YbzRxn","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":"fenghuang_stock","symbols":["LYFX","LU0052750758.USD","LU0163747925.USD","LU0821914370.USD","LU0588546209.SGD","LU0630378692.HKD","LU0348825331.USD","LYFT","LU0072462343.USD","LU0164880469.USD","LU2039709279.SGD","LU1328615791.USD","BK1588","LU0762540952.USD","BK4585","LU0456827905.SGD","LU0762542818.HKD","LU2778985437.USD","LU0823426308.USD","LU0326950275.SGD","IE0034224299.USD","LU1831875114.USD","89888","LU0197773160.USD","BK4588","LU1115378108.SGD","LU0320764599.SGD","LU0871576103.HKD","BK1095","LU0173614495.USD","LU0348735423.USD","LU0164865239.USD","LU0051755006.USD","BK1575","LU1048596156.SGD","LU0228367735.SGD","LU0823426480.USD","LU2476274308.USD","LU0762541174.USD","BK1615","LU0307460666.USD","LU0043850808.USD","BK1587","09888","LU0417516738.SGD","SG9999014674.SGD","BK4230","LU0463099449.HKD","LU1023057109.AUD","LU0819121731.USD","LU1481107354.HKD","BK4548","LU0708995583.HKD","LU0630378429.USD","LU0229945570.USD","LU0149721374.USD","LU0244354667.USD","LU0831093199.SGD","HK0000320223.HKD","LU0531971595.HKD","SG9999002828.SGD","LU0640798160.USD","SG9999002463.SGD","LU0287142896.SGD","LU0359202008.SGD","HK0000306685.HKD","LU0856984785.SGD","LU0543330566.HKD","HK0000306701.USD","LU1048588211.SGD","LU0359201612.USD","BK1609","LU0417516902.SGD","LU0197773673.USD","LU0315179316.USD","LU0039217434.USD","LU1188198961.HKD","BK4022","HK0000320264.USD"],"isVideo":false,"video":null,"gpt_icon":1},{"id":"2620384400","title":"「無人駕駛技術」普及時代來了？英偉達全力推動 Uber、Lyft雙雙大漲","url":"https://stock-news.laohu8.com/highlight/detail?id=2620384400","media":"格隆汇","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2620384400?lang=zh_tw&edition=fundamental","pubTime":"2026-03-18 09:32","pubTimestamp":1773797532,"startTime":"0","endTime":"0","summary":null,"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://www.gelonghui.com/rss/live/live.xml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"live_gelonghui","symbols":["LU0345768740.USD","IE00BDCRKT87.USD","LU2028103732.USD","LU2322448957.HKD","LU1674673428.USD","LU1366333091.USD","LU2462157665.USD","LU0187121727.USD","LU1548497426.USD","LU1917777945.USD","LU0080751232.USD","NVDS","BK4585","LU0289739343.SGD","UBER","LU1852331112.SGD","SNVD.UK","SG9999015978.USD","LU1242518857.USD","BK4533","LU1868837136.USD","LU1992135399.USD","LU2357125470.USD","LU1861220033.SGD","LU0979878070.USD","NVDQ","LU2089985449.USD","LU1066053197.SGD","LU0466842654.USD","LU2430703251.USD","IE0009G5SDU7.USD","BK4543","LU2413666699.HKD","LU1935042215.USD","LU2065170008.USD","LU1923622291.USD","LU1127390331.HKD","SG9999015986.USD","HK0000306685.HKD","IE00BYXW3230.USD","HK0000914660.USD","LU0347712357.USD","IE00B3S45H60.SGD","LU1496350502.SGD","SG9999014880.SGD","NVDX","LU0823414478.USD","LU0820562030.AUD","IE00BJLML261.HKD","LU1066051225.USD","LU0444971666.USD","LU0061475181.USD","BK4230","LU1983260115.SGD","LU0072462426.USD","LU0109391861.USD","LU0472753341.HKD","LU2168564495.EUR","LU2237957811.SGD","LU2471134952.CNY","IE00BN29S564.USD","LU2456880835.USD","LU2403377893.USD","LU0215105999.USD","LU1069344957.HKD","LU2896262040.SGD","LU2023251221.USD","LU1815333072.USD","SG9999018865.SGD","LU2602419157.SGD","LU2290526834.HKD","LU1116320901.HKD","IE0004086264.USD","LU0444973449.USD","LU0274383776.USD","LU1267930730.SGD","LU0079474960.USD","LU0342679015.USD","LU2506951792.HKD","IE00BJJMRX11.SGD","BK4598","LU2108987350.USD","LU1232071149.USD","LU1989764664.SGD","SG9999014567.USD","LU0082616367.USD","LU2430703178.SGD","LU0965509010.AUD","LU2286300806.USD","SG9999014542.SGD","LU2111349929.HKD","SG9999004303.SGD","BK4592","LU1316542783.SGD","LU2065169927.USD","LU2750360997.AUD","LU0823421416.USD","LU0689472784.USD","NVDS.UK","LU2272731865.HKD","LU1400636657.SGD","LU2491050154.USD","3NVD.UK","NVDL","IE0004445015.USD","LU0267386448.USD","LU0320765059.SGD","LU0719512351.SGD","LU0942090050.USD","LU1935042991.SGD","LU0353189763.USD","LU2360032135.SGD","BK4554","LU1699723380.USD","IE00B775H168.HKD","LU1280957306.USD","LU0724617625.USD","LU2089284900.SGD","SG9999014898.SGD","LU1720051017.SGD","IE00B1BXHZ80.USD","LU1035775433.USD","LU2168564065.EUR","LYFT","LU1951200564.SGD","LU1989764748.USD","LU2505996681.GBP","LU2491050071.SGD","DIPS","LU2242650005.HKD","LU0289961442.SGD","LU0642271901.SGD","LU2237957902.USD","SG9999014575.USD","IE00B775SV38.USD","LU1366192091.USD","LU2063271972.USD","IE000ITXATA3.USD","BK4608","LU0310800379.SGD","LU1712237335.SGD","IE00BQXX3C00.GBP","LU0203201768.USD","LU1084165304.USD","IE00BJJMRY28.SGD","LU2087625088.SGD","BK4567","LU0672654240.SGD","LU1551013425.SGD","LU1935043023.USD","LU0683600562.USD","LU2552382058.USD","HK0000320223.HKD","LU0345769128.USD","LU2552382132.HKD","LU0006306889.USD","LU1551013342.USD","LU2271345857.HKD","LU0061474960.USD","LU2106854487.HKD","IE0004091025.USD","SG9999015952.SGD","LU1623119135.USD","LU2168564149.EUR","LU0234570918.USD","LU2065171311.SGD","LU1861127337.USD","LU2125909593.SGD","IE00B19Z8X17.USD","LU1718418525.SGD","LU1267930573.SGD","LU2272731782.SGD","IE00B19Z8W00.USD","LU0985320562.USD","LU2242649171.HKD","LU0823414551.USD","LU2361045086.USD","BK4614","LU0048584097.USD","LU1839511570.USD","LYFX","LU1791710400.SGD","NVDU","LU1037948897.HKD","LU0238689110.USD","LU1066051811.HKD","LU0106261372.USD","LU0787776722.HKD","LU1989772923.USD","BK4587","LU0708994859.HKD","LU2023250330.USD","LU1037948541.HKD","IE000W1ABFV2.USD","LU0096362180.USD","LU2361044949.HKD","IE00BKVL7J92.USD","LU0557290698.USD","IE00BDRTCR15.USD","LU2272731600.USD","HK0000914686.HKD","IE00B1XK9C88.USD","LU0957808578.USD","IE00BKDWB100.SGD","GB00BDT5M118.USD","LU2361044865.SGD","LU2552382215.SGD","LU2471134523.USD","SGXZ81514606.USD","2NVD.UK","LU1571399168.USD","LU2433249047.HKD","LU1429558221.USD","HK0000320264.USD","LU0965509283.SGD","LU2931357623.SGD","BK4022","LU2756315318.SGD","LU0158827781.USD","LU2326559502.SGD","LU2125154778.USD","BK4534","LU2860962120.EUR","LU0128525929.USD","LU2294711713.HKD","BK4551","LU1064131342.USD","LU1642822529.SGD","LU0158827948.USD","IE00BZ1G4Q59.USD","SG9999001424.SGD","SG9999002232.USD","LU2471134879.HKD","LU2360106780.USD","BK4612","LU2077746001.SGD","LU2097344357.USD","LU0053666078.USD","IE0034235188.USD","LU0266013472.USD","LU0889565833.HKD","IE00B4YYXB79.USD","NVIW.SI","NVDB","LU0528227936.USD","LU2420271590.USD","LU0868494617.USD","LU2491049909.HKD","BK4548","LU2247934214.USD","LU2054465674.USD","LU2322448791.USD","LU0265550946.USD","NVII","LU1803068979.SGD","LU2087621335.USD","LU2237438978.USD","LU2543165471.USD","IE0034235295.USD","LU0390134368.USD","SG9999018857.SGD","LU1674673691.USD","IE0005OL40V9.USD","BK4527","LU2097344431.USD","LU2249611893.SGD","LU0276348264.USD","LU2473716301.USD","NVDD","LU2452424414.USD","SGXZ23171101.USD","LU0640476718.USD","LU0708995401.HKD","LU2213496289.HKD","SG9999002224.SGD","LU1720051108.HKD","LU2487616109.SGD","LU0077335932.USD","LU2125909247.SGD","LU2125909759.SGD","LU1934455863.HKD","LU0788109477.HKD","IE00BFSS7M15.SGD","LU2417539215.USD","SG9999015358.SGD","LU1989772840.SGD","SGXZ31699556.SGD","LU1145028129.USD","LU2244417387.USD","IE0009356076.USD","LU2756315664.SGD","LU1814569148.SGD","LU0175139822.USD","IE00BKPKM429.USD","ANV","LU2746668461.USD","IE0003U64NQ7.SGD","LU0203202063.USD","LU0210533765.USD","LU0251132253.USD","LU1868836757.USD","IE00BK4W5L77.USD","LU0861579265.USD","LU1242518931.SGD","LU0029864427.USD","LU2265009873.SGD","LU2463028550.USD","LU0234572021.USD","LU0965508806.USD","LU1119994496.HKD","IE00B4JS1V06.HKD","IE00B3M56506.USD","LU2083900584.USD","LU2168564222.USD","BK4532","LU0056508442.USD","LU0882574139.USD","LU1868836591.USD","LU0823434583.USD","LU0061474705.USD","LU1951198990.SGD","LU1202635105.USD","LU0511384066.AUD","LU0154236417.USD","HK0000306701.USD","LU2746668974.SGD","LU2471134796.USD","LU2413666426.HKD","LU0345769631.USD","IE000YTNTUN2.SGD","LU2430703095.HKD","SG9999000418.SGD","LU2092937148.SGD","LU0198837287.USD","LU0823421333.USD","LU2458330243.SGD","BK4550","LU0210536198.USD","LU0256863811.USD","IE00B3SWFQ91.USD","NVDY","LU2357305700.SGD","BK4581","IE00BK4W5M84.HKD","LU2023250504.SGD","SG9999015945.SGD","LU1923623000.USD","LU2125909916.SGD","LU1244550221.USD","LU1868836914.USD","LU1261432733.SGD","IE00BWXC8680.SGD","IE00B7KXQ091.USD","BK4141","LU0943347566.SGD","BK4605","LU0323591593.USD","LU0476273544.USD","LU1868837300.USD","NVDG","LU0070217475.USD","LU0957791311.USD","LU0820561909.HKD","LU0069063385.USD","LU2236285917.USD","IE0034235303.USD","LU0308772762.SGD","LU1914381329.SGD","LU1804176565.USD","SGXZ99366536.SGD","LU0417517546.SGD","LU2381873111.SGD","LU0345770308.USD","LU0265550359.USD","LU1066051498.USD","LU1974910355.USD","LU1992135472.HKD","LU1670756490.USD","LU0097036916.USD","BK4588","IE000KEQY171.SGD","LU0109392836.USD","LU1435385759.SGD","SG9999014906.USD","LU2168563687.JPY","IE0001KFT4U8.USD","LU1645745479.HKD","LU0127658192.USD","LU0011850046.USD","BK4529","LU1935042488.USD","SG9999014559.SGD","LU2592432038.USD","IE00B19Z9505.USD","LU0211327993.USD","LU0345770993.USD","IE0004445239.USD","LU2065171402.SGD","NVDA","IE00BMPRXN33.USD","LU2750360641.GBP","LU0107464264.USD","LU2360107168.USD","LU0820561818.USD","LU0868494708.USD","NVDW","LU1935043536.SGD","LU0094547139.USD","LU1934455194.USD","LU0289960550.SGD","LU0354030438.USD","BK4579","IE00BQXX3F31.USD","LU0786609619.USD","LU1244550494.USD","NVD3.UK","IE00BD6J9T35.USD","LU0210528500.USD","LU0345768153.USD","LU0354030511.USD","LU1778281490.HKD","LU1721428933.USD","LU0096364046.USD","BK4503","LU1633808545.USD","LU2125154935.USD","SG9999014914.USD","IE00BHPRN162.USD","LU2461242641.AUD","LU0057025933.USD","LU2458330169.SGD","LU1400636574.HKD","LU2089283258.USD","LU0310799852.SGD","LU2211815571.USD","LU2092627202.USD","IE00BJTD4N35.SGD","LU1400636491.USD","LU1815336760.USD","LU0353189680.USD","LU1496350171.SGD","SGXZ51526630.SGD","LU1629891620.HKD","LU0124676726.USD","LU1791710582.SGD","LU2250418816.HKD","LU0964807845.USD","LU1153585028.USD","LU2191332357.HKD","IE00BQXX3D17.EUR","LU1691799644.USD","LU1323610961.USD","LU0081259029.USD","IE00BZ199S13.USD","LU0348723411.USD","IE00B5949003.HKD","LU0316494557.USD","SG9999015341.SGD","NVD","LU0211328371.USD","SG9999017495.SGD","IE00BFSS8Q28.SGD","LU1934455277.USD","IE00BJTD4V19.USD","LU0170899867.USD","LU0965509101.SGD","LU2505996509.AUD","LU0689626769.HKD","LU1821325948.USD","LU1861215975.USD","LU2264538146.SGD","LU1267930490.SGD","BK4549","LU0823434740.USD","LU1988902786.USD","IE00BMPRXR70.SGD","LU0256863902.USD","LU0494093205.USD","LU0225283273.USD","LU1923622614.USD","NVD2.UK","LU1244550577.SGD","IE00BMPRXQ63.HKD","LU0157215616.USD","LU1116320737.USD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1129858370","title":"Lyft將整合英偉達AI技術 提升預測建模與地圖能力優化網約車平台","url":"https://stock-news.laohu8.com/highlight/detail?id=1129858370","media":"美股速递","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1129858370?lang=zh_tw&edition=fundamental","pubTime":"2026-03-17 04:32","pubTimestamp":1773693172,"startTime":"0","endTime":"0","summary":"网约车平台Lyft宣布将整合英伟达的人工智能技术，通过升级预测建模系统、增强地图功能来全面提升其共享出行服务平台效能。此次技术融合将助力Lyft更精准预测出行需求波动，优化车辆调度算法，同时通过高精度地图数据实时更新提升导航效率。英伟达的AI算力还将为Lyft的自动驾驶研发项目提供底层技术支持，推动智能出行生态系统的协同进化。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"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":["NVDL","LU2125154778.USD","LU2462157665.USD","LU0353189680.USD","LU2083900584.USD","LU1037948897.HKD","LU0080751232.USD","LU1642822529.SGD","LU0823414551.USD","IE00BD6J9T35.USD","LU0170899867.USD","LU1815336760.USD","LU2168563687.JPY","BK4605","NVDA","LU0061474705.USD","SGXZ99366536.SGD","NVDS","IE00B775H168.HKD","LU1400636574.HKD","LU2028103732.USD","LU2543165471.USD","LU0683600562.USD","LU0267386448.USD","LU2023250504.SGD","IE00BK4W5L77.USD","LU2213496289.HKD","IE00B1XK9C88.USD","LU1868836757.USD","LU0557290698.USD","LU2063271972.USD","IE00B3SWFQ91.USD","LU2746668461.USD","LU1852331112.SGD","HK0000320264.USD","IE00BWXC8680.SGD","LU2491050071.SGD","LU0158827948.USD","LU1066053197.SGD","NVD2.UK","SG9999014542.SGD","LU2602419157.SGD","LU1548497426.USD","BK4567","LU2505996681.GBP","IE00BQXX3F31.USD","LU1983260115.SGD","IE00BQXX3C00.GBP","LU0345768740.USD","LU0308772762.SGD","LU1791710400.SGD","SG9999014914.USD","LU0882574139.USD","IE00B19Z8W00.USD","LU2360107168.USD","IE00BZ199S13.USD","SG9999015952.SGD","LU0203202063.USD","IE00BYXW3230.USD","BK4550","BK4533","LU2322448957.HKD","LU0210533765.USD","IE00BKPKM429.USD","LU0069063385.USD","LU2106854487.HKD","LU0128525929.USD","LU0820562030.AUD","HK0000306701.USD","LU2272731865.HKD","LU2237438978.USD","LU0198837287.USD","LU1400636491.USD","NVD3.UK","IE00B19Z9505.USD","LU1127390331.HKD","LU2750360997.AUD","LU2249611893.SGD","LU2473716301.USD","LU1934455277.USD","LU0251132253.USD","IE0034235295.USD","LU1861220033.SGD","LU0823421333.USD","LU0077335932.USD","LU0823414478.USD","LU2487616109.SGD","LU2361044949.HKD","LU0354030511.USD","LU0154236417.USD","SG9999014567.USD","IE0009356076.USD","LU0820561818.USD","LU0964807845.USD","LU0097036916.USD","IE00BMPRXQ63.HKD","LU0889565833.HKD","LU0109391861.USD","LU0787776722.HKD","ANV","IE00BHPRN162.USD","NVD","LU1989772923.USD","LU0175139822.USD","LU2361045086.USD","IE00B3S45H60.SGD","LU2420271590.USD","LU0011850046.USD","LU1551013425.SGD","LU0029864427.USD","IE00BJJMRY28.SGD","LU1232071149.USD","BK4581","IE0004445239.USD","LU0234570918.USD","BK4592","LU0107464264.USD","SG9999004303.SGD","LU2360106780.USD","LU2089985449.USD","BK4503","LU1202635105.USD","LU2089283258.USD","IE00BQXX3D17.EUR","LU0957791311.USD","LU0215105999.USD","LU2458330243.SGD","LU1035775433.USD","LU1989764748.USD","LU0158827781.USD","LU1316542783.SGD","LU0094547139.USD","LU2357125470.USD","LU1989772840.SGD","LU1861215975.USD","BK4551","LU0057025933.USD","GB00BDT5M118.USD","LU1037948541.HKD","LU0494093205.USD","LU0957808578.USD","HK0000914660.USD","LU2023251221.USD","LU1935042991.SGD","LU1633808545.USD","LU1267930730.SGD","LU1623119135.USD","LU0310800379.SGD","BK4022","LU2756315318.SGD","LU1778281490.HKD","LU1645745479.HKD","LU0056508442.USD","LU1280957306.USD","LU1718418525.SGD","LU0965509101.SGD","LU1242518857.USD","LU2756315664.SGD","IE00BFSS7M15.SGD","LU0320765059.SGD","LU0985320562.USD","LU2092627202.USD","LU1992135399.USD","LU0823421416.USD","BK4588","2NVD.UK","BK4532","IE0009G5SDU7.USD","LU2087625088.SGD","LU1923622614.USD","LU2242650005.HKD","LU0965509010.AUD","LU0211327993.USD","LU1496350502.SGD","LU0345769128.USD","SG9999002224.SGD","LU1721428933.USD","LU1496350171.SGD","IE00B4JS1V06.HKD","LU0724617625.USD","BK4534","LU2211815571.USD","LU1066051811.HKD","IE00BDCRKT87.USD","LU2237957811.SGD","IE000YTNTUN2.SGD","LU0203201768.USD","LU2065171402.SGD","LU2552382132.HKD","LU0072462426.USD","LU0965509283.SGD","LU2294711713.HKD","LU0265550946.USD","LU0127658192.USD","LU0528227936.USD","BK4554","LU1571399168.USD","IE00B3M56506.USD","LU1934455863.HKD","LU2237957902.USD","LU0466842654.USD","LU1267930573.SGD","LU1814569148.SGD","IE00B4YYXB79.USD","IE00BK4W5M84.HKD","LU2247934214.USD","SGXZ81514606.USD","LU1803068979.SGD","LU2456880835.USD","LU1934455194.USD","LU1914381329.SGD","IE0003U64NQ7.SGD","IE0004445015.USD","LU1989764664.SGD","LU0124676726.USD","LU0823434740.USD","LU2236285917.USD","IE00BJLML261.HKD","BK4608","LU0316494557.USD","LU0210528500.USD","LU1712237335.SGD","LU0096364046.USD","LU0289960550.SGD","LU1988902786.USD","LU0238689110.USD","NVDX","SG9999001424.SGD","LU0266013472.USD","LU2125154935.USD","LU1435385759.SGD","SG9999018865.SGD","LU0689626769.HKD","LU1992135472.HKD","LU2271345857.HKD","SG9999014575.USD","LU2097344431.USD","SG9999002232.USD","LU2471134952.CNY","LU2357305700.SGD","NVDG","LU2087621335.USD","LU2265009873.SGD","LU1935043023.USD","BK4527","LU2264538146.SGD","LU2168564495.EUR","LU1923623000.USD","LU1815333072.USD","LU1935043536.SGD","LU2458330169.SGD","NVDB","IE00B19Z8X17.USD","LU2065169927.USD","LU2286300806.USD","LU1868836914.USD","LU2433249047.HKD","LU0289739343.SGD","LU2168564222.USD","LU0061474960.USD","LU1861127337.USD","NVII","IE0004086264.USD","LU0006306889.USD","HK0000306685.HKD","IE00BZ1G4Q59.USD","NVDW","LU2065171311.SGD","NVDY","LU0672654240.SGD","LU1917777945.USD","LU0965508806.USD","BK4598","LU2491050154.USD","LU1145028129.USD","LYFT","LU0472753341.HKD","LU1720051108.HKD","LU2326559502.SGD","LU2461242641.AUD","LU2077746001.SGD","LU0786609619.USD","LU0476273544.USD","BK4549","LYFX","LU0256863902.USD","SG9999014898.SGD","BK4587","LU2463028550.USD","SNVD.UK","BK4614","IE0005OL40V9.USD","IE00B7KXQ091.USD","LU0061475181.USD","LU0861579265.USD","LU0345770993.USD","LU1400636657.SGD","NVDQ","SG9999017495.SGD","LU1935042488.USD","LU2250418816.HKD","LU2403377893.USD","BK4529","LU2089284900.SGD","NVDU","LU2471134879.HKD","LU2092937148.SGD","BK4548","LU2430703095.HKD","LU0348723411.USD","LU1323610961.USD","LU2191332357.HKD","SG9999015358.SGD","LU2361044865.SGD","LU1153585028.USD","BK4612","LU2430703178.SGD","LU1066051225.USD","BK4141","LU0640476718.USD","LU0079474960.USD","LU1951198990.SGD","LU1720051017.SGD","LU1699723380.USD","IE00BN29S564.USD","LU1868837300.USD","LU1804176565.USD","LU0081259029.USD","LU1429558221.USD","HK0000914686.HKD","SGXZ31699556.SGD","IE0004091025.USD","IE000ITXATA3.USD","LU2168564149.EUR","LU2272731600.USD","LU0276348264.USD","LU2750360641.GBP","LU1923622291.USD","LU2065170008.USD","LU2896262040.SGD","LU0417517546.SGD","LU2125909247.SGD","LU1670756490.USD","LU1267930490.SGD","IE00BFSS8Q28.SGD","LU2242649171.HKD","LU1868836591.USD","LU0942090050.USD","LU0096362180.USD","LU1116320737.USD","LU1116320901.HKD","LU0274383776.USD","LU0157215616.USD","LU0234572021.USD","LU0347712357.USD","LU1674673428.USD","LU0979878070.USD","LU2111349929.HKD","LU2360032135.SGD","LU2506951792.HKD","IE00B775SV38.USD","LU2746668974.SGD","LU1084165304.USD","IE00BJTD4V19.USD","LU0642271901.SGD","LU2552382215.SGD","LU2430703251.USD","LU2290526834.HKD","LU0342679015.USD","LU2244417387.USD","3NVD.UK","LU2471134523.USD","LU0868494708.USD","IE0034235188.USD","LU0345770308.USD","SG9999014880.SGD","LU2125909759.SGD","LU0210536198.USD","IE00BJTD4N35.SGD","LU2381873111.SGD","LU1839511570.USD","LU1261432733.SGD","LU2860962120.EUR","LU0444971666.USD","IE00BMPRXR70.SGD","LU1244550577.SGD","LU1674673691.USD","LU1366333091.USD","LU2491049909.HKD","LU0310799852.SGD","LU1066051498.USD","LU0353189763.USD","LU1119994496.HKD","BK4543","LU2592432038.USD","LU0719512351.SGD","LU2108987350.USD","LU1366192091.USD","LU2125909916.SGD","LU1242518931.SGD","SG9999014906.USD","LU0082616367.USD","LU0943347566.SGD","LU0820561909.HKD","LU2097344357.USD","LU0048584097.USD","LU2125909593.SGD","BK4230","LU1935042215.USD","LU2452424414.USD","IE00BMPRXN33.USD","IE00B1BXHZ80.USD","NVDS.UK","LU0823434583.USD","LU1064131342.USD","LU2322448791.USD","LU1629891620.HKD","BK4579","LU2931357623.SGD","SG9999015945.SGD","LU0511384066.AUD","LU1244550221.USD","LU2413666699.HKD","LU0444973449.USD","LU2054465674.USD","LU2023250330.USD","LU0070217475.USD","LU0708995401.HKD","IE00BKVL7J92.USD","LU0289961442.SGD","LU1551013342.USD","LU1244550494.USD","LU0106261372.USD","LU1791710582.SGD","IE00BJJMRX11.SGD","NVDD","NVIW.SI","LU2413666426.HKD","IE000W1ABFV2.USD","LU0345768153.USD","LU1951200564.SGD","SG9999014559.SGD","LU2272731782.SGD","LU0708994859.HKD","LU0788109477.HKD","SG9999015978.USD","IE00BKDWB100.SGD","LU0868494617.USD","SG9999000418.SGD","SG9999015341.SGD","LU1974910355.USD","IE000KEQY171.SGD","SG9999018857.SGD","LU0211328371.USD","LU2552382058.USD","LU0345769631.USD","DIPS","SGXZ51526630.SGD","LU0256863811.USD","LU0323591593.USD","LU1821325948.USD","LU2417539215.USD","BK4585","LU2471134796.USD","IE00B5949003.HKD","LU0187121727.USD","SGXZ23171101.USD","LU0265550359.USD","SG9999015986.USD","LU0354030438.USD","LU0109392836.USD","IE00BDRTCR15.USD","HK0000320223.HKD","LU0053666078.USD","LU1069344957.HKD","LU0390134368.USD","LU1868837136.USD","IE0001KFT4U8.USD","LU0689472784.USD","LU1691799644.USD","LU2168564065.EUR","LU0225283273.USD","IE0034235303.USD","LU2505996509.AUD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1130102431","title":"Lyft計劃採用英偉達Drive Hyperion作為未來自動駕駛車隊系統的參考架構","url":"https://stock-news.laohu8.com/highlight/detail?id=1130102431","media":"美股速递","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1130102431?lang=zh_tw&edition=fundamental","pubTime":"2026-03-17 04:31","pubTimestamp":1773693113,"startTime":"0","endTime":"0","summary":"美国网约车平台Lyft宣布，计划将英伟达的Drive Hyperion平台作为其未来自动驾驶车队系统的参考架构。这一战略合作标志着Lyft在自动驾驶技术领域的进一步布局，旨在提升其车队系统的智能化水平和运行效率。\n通过采用英伟达Drive Hyperion架构，Lyft有望加速自动驾驶技术的研发与应用，为其未来车队提供更强大的计算能力和传感器集成方案。该架构作为行业领先的参考设计，将帮助Lyft优化系统性能，降低开发成本，并推动自动驾驶服务的规模化部署。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"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":["LU0289961442.SGD","IE00BJJMRY28.SGD","BK4608","LU1642822529.SGD","IE00BMPRXQ63.HKD","LU1316542783.SGD","LU0689472784.USD","LU0823414478.USD","LU1069344957.HKD","SG9999014575.USD","SG9999015341.SGD","LU0957808578.USD","LU1718418525.SGD","LU2168564222.USD","LU0985320562.USD","LU2505996681.GBP","LU1145028129.USD","SG9999000418.SGD","LU2750360641.GBP","LU0323591593.USD","LU0211328371.USD","LU2322448791.USD","LU0557290698.USD","LU0354030511.USD","IE00BQXX3D17.EUR","LU2473716301.USD","IE0034235295.USD","LU0820562030.AUD","LU0354030438.USD","LU0868494708.USD","LU1323610961.USD","LU0823414551.USD","SGXZ81514606.USD","LU2065170008.USD","LU0210533765.USD","IE00B19Z9505.USD","LU1366192091.USD","LU1861220033.SGD","LU0511384066.AUD","LU1951198990.SGD","BK4527","LU2420271590.USD","LU0820561909.HKD","LU2750360997.AUD","2NVD.UK","IE00BJTD4N35.SGD","SNVD.UK","IE0009356076.USD","LU1992135472.HKD","LU1119994496.HKD","LU1803068979.SGD","LU2357125470.USD","LU2237957811.SGD","LU0154236417.USD","LU2433249047.HKD","LU2087625088.SGD","LU2506951792.HKD","LU0345770308.USD","SG9999014559.SGD","LU1791710582.SGD","LU2462157665.USD","LU0965509101.SGD","BK4022","LU2896262040.SGD","LU0097036916.USD","LU2083900584.USD","LU0689626769.HKD","LU0786609619.USD","LU2249611893.SGD","IE00BQXX3F31.USD","LU0061474705.USD","LU2286300806.USD","LU1914381329.SGD","LU0528227936.USD","LU0128525929.USD","LU2092937148.SGD","LU0158827948.USD","LU0820561818.USD","LU1066051225.USD","LU0096362180.USD","LU1720051108.HKD","LU1242518931.SGD","LU2461242641.AUD","IE00B5949003.HKD","LU0964807845.USD","LU2272731865.HKD","BK4587","LU0494093205.USD","LU1839511570.USD","SG9999004303.SGD","LU0345768153.USD","BK4605","LU0640476718.USD","LU0266013472.USD","BK4141","LU1935042488.USD","LU1066051498.USD","LU2543165471.USD","IE00B3S45H60.SGD","LU0345769631.USD","LU2294711713.HKD","BK4579","LU2168564149.EUR","LU2125909247.SGD","LU1974910355.USD","LU0310799852.SGD","LU1923622291.USD","LU2322448957.HKD","LU1691799644.USD","LU2505996509.AUD","LU1917777945.USD","NVII","LU2326559502.SGD","LU0823421416.USD","IE00B1BXHZ80.USD","LU0210536198.USD","LU2592432038.USD","LU2242649171.HKD","LU2487616109.SGD","LU0345770993.USD","NVD3.UK","SG9999002224.SGD","LU2491050154.USD","LU0048584097.USD","GB00BDT5M118.USD","LU2125909759.SGD","SGXZ99366536.SGD","IE00B19Z8X17.USD","LU0274383776.USD","LU2244417387.USD","LU0472753341.HKD","LU2860962120.EUR","LU2092627202.USD","LU1127390331.HKD","BK4554","LU0225283273.USD","IE00BZ1G4Q59.USD","LU0308772762.SGD","LU1935042991.SGD","SG9999015945.SGD","LU0316494557.USD","LU0943347566.SGD","LU0234570918.USD","LU0823434740.USD","LU1923623000.USD","SG9999014567.USD","LU0345768740.USD","LU2272731782.SGD","LU0965508806.USD","LU0320765059.SGD","LU1400636574.HKD","IE0004445239.USD","LU2087621335.USD","IE00B19Z8W00.USD","LU2077746001.SGD","LU0787776722.HKD","NVDU","LU2023250330.USD","LU0072462426.USD","LU1116320737.USD","IE000W1ABFV2.USD","LU1983260115.SGD","IE0034235188.USD","LU2361044949.HKD","LU0006306889.USD","LU2413666426.HKD","LU0157215616.USD","IE0004091025.USD","IE00BN29S564.USD","NVDS","NVDY","LU2602419157.SGD","NVDL","LU1267930490.SGD","BK4529","LU2089985449.USD","LU0029864427.USD","LU2264538146.SGD","LU1232071149.USD","LU0127658192.USD","LU0203201768.USD","LU0238689110.USD","NVD2.UK","IE000ITXATA3.USD","LU2237957902.USD","LU0289739343.SGD","LU1551013425.SGD","LU1989772923.USD","LU2106854487.HKD","LU1934455194.USD","SG9999015358.SGD","BK4550","IE0003U64NQ7.SGD","IE0034235303.USD","NVDX","LU2108987350.USD","LU1720051017.SGD","LU2357305700.SGD","LU0724617625.USD","IE0001KFT4U8.USD","LU0476273544.USD","BK4549","LU2361045086.USD","BK4533","3NVD.UK","SG9999014914.USD","LU0882574139.USD","NVDD","LU1496350171.SGD","LU2756315664.SGD","IE00BFSS8Q28.SGD","LU1861127337.USD","IE00BKDWB100.SGD","LU1064131342.USD","LU1571399168.USD","LU2247934214.USD","LU0109392836.USD","LU1244550577.SGD","IE00BDCRKT87.USD","LU0094547139.USD","LU0256863811.USD","LU1699723380.USD","IE00BK4W5M84.HKD","LU0069063385.USD","LU0672654240.SGD","LU1267930573.SGD","LU0353189763.USD","NVDS.UK","IE00B775H168.HKD","LU2097344431.USD","LU1267930730.SGD","LU0708994859.HKD","IE00BJTD4V19.USD","LU1435385759.SGD","LU1868837300.USD","LU1280957306.USD","LU2381873111.SGD","HK0000914660.USD","LU1861215975.USD","LU2756315318.SGD","LU2746668461.USD","NVDA","BK4588","LU0053666078.USD","NVIW.SI","LU0158827781.USD","LU1670756490.USD","IE00BK4W5L77.USD","LU2413666699.HKD","BK4503","LU1989764748.USD","LU0082616367.USD","NVDG","LU1791710400.SGD","LU2065169927.USD","LU2271345857.HKD","BK4543","IE0004086264.USD","SGXZ23171101.USD","LU0642271901.SGD","LU1868836591.USD","LU2463028550.USD","SG9999014906.USD","LU1551013342.USD","LU0823421333.USD","LU0061475181.USD","LU1244550494.USD","IE00BKPKM429.USD","LU2361044865.SGD","LU1035775433.USD","LU0289960550.SGD","LU2097344357.USD","IE00B775SV38.USD","LU2458330169.SGD","HK0000320223.HKD","NVDQ","LU1852331112.SGD","LU1116320901.HKD","SG9999017495.SGD","BK4551","LU2552382132.HKD","LU2471134523.USD","LU2125154935.USD","LU0348723411.USD","LU0077335932.USD","LU2023250504.SGD","LU2023251221.USD","LU1244550221.USD","LU0276348264.USD","IE00B7KXQ091.USD","HK0000914686.HKD","LU0079474960.USD","LU1066051811.HKD","SG9999002232.USD","LU0203202063.USD","LU0198837287.USD","LU0957791311.USD","LU2236285917.USD","HK0000306701.USD","IE00BMPRXR70.SGD","SG9999014898.SGD","LU0868494617.USD","LU1674673428.USD","LU0211327993.USD","IE00BWXC8680.SGD","LU2360032135.SGD","LU0265550359.USD","LU0861579265.USD","LU2054465674.USD","SG9999001424.SGD","IE0004445015.USD","NVDW","IE00BHPRN162.USD","LU1934455277.USD","SGXZ51526630.SGD","LU2125909593.SGD","LU0979878070.USD","LU2089284900.SGD","LU2360107168.USD","BK4548","LU1868836914.USD","LU0390134368.USD","LU1712237335.SGD","LU2471134879.HKD","LU0109391861.USD","LU0107464264.USD","LU1366333091.USD","SG9999014542.SGD","LU1989772840.SGD","LU1633808545.USD","LU1084165304.USD","LU1988902786.USD","LU1815333072.USD","BK4532","LU1645745479.HKD","LU0070217475.USD","SG9999018865.SGD","LU0708995401.HKD","HK0000306685.HKD","LU1202635105.USD","LU0466842654.USD","LU2746668974.SGD","IE00B3SWFQ91.USD","IE00BQXX3C00.GBP","LU2211815571.USD","IE00BKVL7J92.USD","SG9999014880.SGD","LU0256863902.USD","IE00BJJMRX11.SGD","LU0788109477.HKD","LU2063271972.USD","LU2491049909.HKD","BK4598","LU1868836757.USD","SG9999018857.SGD","IE00BFSS7M15.SGD","BK4534","LU1037948897.HKD","LU1548497426.USD","LU2430703178.SGD","IE00BZ199S13.USD","LU0347712357.USD","BK4230","LU1815336760.USD","IE0009G5SDU7.USD","LU0081259029.USD","LU2065171402.SGD","IE0005OL40V9.USD","LU1037948541.HKD","LU2265009873.SGD","LU2242650005.HKD","LU0210528500.USD","DIPS","LYFT","LU2471134952.CNY","LU2089283258.USD","IE00BDRTCR15.USD","BK4567","BK4614","LU2552382058.USD","LU1629891620.HKD","LU1721428933.USD","IE000KEQY171.SGD","LU0719512351.SGD","LU0106261372.USD","BK4592","LU2290526834.HKD","LU0417517546.SGD","LU1400636657.SGD","IE00B3M56506.USD","LU1935042215.USD","IE00B4JS1V06.HKD","LU0683600562.USD","LU1923622614.USD","LU1429558221.USD","LU0965509010.AUD","LU1804176565.USD","LU2458330243.SGD","IE00B4YYXB79.USD","LU2417539215.USD","LU2125154778.USD","LU2931357623.SGD","LU0889565833.HKD","LU1066053197.SGD","BK4612","HK0000320264.USD","LU2491050071.SGD","LU2430703251.USD","LYFX","LU1623119135.USD","LU0345769128.USD","LU2237438978.USD","LU2456880835.USD","IE00BD6J9T35.USD","LU1821325948.USD","LU1242518857.USD","LU2403377893.USD","LU0942090050.USD","LU0234572021.USD","LU0096364046.USD","LU0175139822.USD","SG9999015952.SGD","LU2065171311.SGD","LU0353189680.USD","LU1261432733.SGD","LU2168564065.EUR","LU2360106780.USD","NVD","LU1778281490.HKD","LU0061474960.USD","LU0124676726.USD","IE00BJLML261.HKD","LU1992135399.USD","ANV","LU2168564495.EUR","LU2552382215.SGD","LU0823434583.USD","LU1868837136.USD","LU1935043023.USD","BK4581","LU2213496289.HKD","IE00BYXW3230.USD","LU1400636491.USD","LU0080751232.USD","LU1934455863.HKD","LU0057025933.USD","SGXZ31699556.SGD","LU1935043536.SGD","LU1674673691.USD","LU0011850046.USD","LU2430703095.HKD","IE000YTNTUN2.SGD","LU1989764664.SGD","LU2452424414.USD","LU0056508442.USD","LU2250418816.HKD","LU2191332357.HKD","LU2125909916.SGD","IE00BMPRXN33.USD","LU1951200564.SGD","LU2168563687.JPY","LU0965509283.SGD","IE00B1XK9C88.USD","BK4585","LU0444973449.USD","LU0170899867.USD","LU0342679015.USD","LU2111349929.HKD","LU0267386448.USD","LU1496350502.SGD","SG9999015986.USD","LU0310800379.SGD","LU0251132253.USD","NVDB","LU1814569148.SGD","LU1153585028.USD","LU2471134796.USD","LU0187121727.USD","LU2028103732.USD","SG9999015978.USD","LU0215105999.USD","LU0444971666.USD","LU0265550946.USD","LU2272731600.USD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1188868453","title":"Lyft藉助智能體AI優化出行效率，攜手英偉達Drive Hyperion加速自動駕駛未來","url":"https://stock-news.laohu8.com/highlight/detail?id=1188868453","media":"美股速递","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1188868453?lang=zh_tw&edition=fundamental","pubTime":"2026-03-17 04:31","pubTimestamp":1773693107,"startTime":"0","endTime":"0","summary":"Lyft宣布将通过智能体人工智能技术提升叫车服务的智能化与效率水平，并利用英伟达Drive Hyperion平台加速自动驾驶技术的布局进程。这一合作将推动出行服务向更精准、更节能的方向演进，为未来城市交通网络注入新动能。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"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":["IE00BQXX3F31.USD","SG9999014880.SGD","LU0234570918.USD","LU0823434583.USD","LU1699723380.USD","LU0347712357.USD","LU0965509101.SGD","IE00B19Z8X17.USD","LU1551013425.SGD","LU2106854487.HKD","LU0107464264.USD","LU0265550359.USD","LU2065171402.SGD","LU2271345857.HKD","LU2286300806.USD","LU0820561818.USD","LU1923623000.USD","BK4605","LU2430703095.HKD","IE00B7KXQ091.USD","IE00B5949003.HKD","LU0157215616.USD","LU1244550221.USD","LU2361044865.SGD","LU1244550577.SGD","BK4548","SGXZ81514606.USD","IE00B4YYXB79.USD","LU0476273544.USD","LU0061474960.USD","LU0444971666.USD","NVDU","LU1935043536.SGD","LU0211328371.USD","LU0786609619.USD","BK4612","LU2543165471.USD","LU2168564222.USD","LU0158827781.USD","LU2264538146.SGD","LU2506951792.HKD","SGXZ51526630.SGD","BK4141","IE00B1BXHZ80.USD","LU2403377893.USD","LU1244550494.USD","IE00BMPRXR70.SGD","LU1868837136.USD","LU0672654240.SGD","LU2360032135.SGD","LU1242518931.SGD","LU1839511570.USD","LU1261432733.SGD","HK0000914686.HKD","LU2236285917.USD","LU0957791311.USD","2NVD.UK","LU0215105999.USD","IE00B775SV38.USD","LU2191332357.HKD","LU2552382215.SGD","LU2452424414.USD","NVDL","LU0820562030.AUD","LU1066051811.HKD","LU1803068979.SGD","LU1429558221.USD","LU1267930573.SGD","LU2471134796.USD","BK4588","LU0345769128.USD","LU1069344957.HKD","LU1366333091.USD","LU0127658192.USD","LU1868836757.USD","SG9999000418.SGD","LU1366192091.USD","LU2272731865.HKD","LU2083900584.USD","LU2756315318.SGD","LU1629891620.HKD","LU0820561909.HKD","IE00BZ1G4Q59.USD","LU0211327993.USD","LU0354030438.USD","LU0056508442.USD","HK0000320264.USD","LU0708995401.HKD","LU2361045086.USD","LU0210533765.USD","LU1814569148.SGD","LU2023250330.USD","LU2473716301.USD","BK4503","LU2322448957.HKD","LU1400636657.SGD","LU1934455194.USD","LU0787776722.HKD","LU0109392836.USD","LU2756315664.SGD","IE00BJJMRY28.SGD","LU2125909916.SGD","IE00BDRTCR15.USD","LU2272731600.USD","LU0106261372.USD","LU1116320901.HKD","LU0061475181.USD","LU0942090050.USD","LU1804176565.USD","LU1852331112.SGD","LU2250418816.HKD","BK4550","BK4554","LU0053666078.USD","LU0251132253.USD","IE00BD6J9T35.USD","LU0011850046.USD","LU1633808545.USD","LU0234572021.USD","LU0964807845.USD","LU2244417387.USD","LU1670756490.USD","LU2471134879.HKD","LU0061474705.USD","LU2065169927.USD","IE00BJLML261.HKD","BK4529","LU2491050154.USD","SG9999015945.SGD","ANV","BK4585","IE00BDCRKT87.USD","LU0109391861.USD","SG9999014914.USD","LU1153585028.USD","LU1721428933.USD","BK4543","IE00BQXX3C00.GBP","LU0724617625.USD","LU1989764748.USD","LU2125154935.USD","LU0353189680.USD","LU1815333072.USD","LU1084165304.USD","LU0154236417.USD","HK0000914660.USD","LU1267930490.SGD","IE00BKVL7J92.USD","LU1623119135.USD","GB00BDT5M118.USD","SG9999018865.SGD","LU0170899867.USD","IE0009356076.USD","IE00BMPRXQ63.HKD","LU0097036916.USD","LU1791710400.SGD","LU0006306889.USD","LU1127390331.HKD","LU0444973449.USD","LU2023250504.SGD","LU0238689110.USD","IE0005OL40V9.USD","LU2125909247.SGD","LU0316494557.USD","LU2125154778.USD","LU1989764664.SGD","IE00B4JS1V06.HKD","LU1791710582.SGD","LU2361044949.HKD","LU2168564495.EUR","LU0689626769.HKD","LU2242650005.HKD","DIPS","LU1935043023.USD","IE00BQXX3D17.EUR","LU2417539215.USD","LU1914381329.SGD","SG9999001424.SGD","LU2023251221.USD","LU1917777945.USD","LU2097344357.USD","LU2125909759.SGD","LU1935042215.USD","LU1720051108.HKD","SG9999004303.SGD","LU1280957306.USD","LU2054465674.USD","LU1035775433.USD","LU2462157665.USD","LU0094547139.USD","SG9999014559.SGD","LU1400636574.HKD","LU0689472784.USD","LYFX","LU0823421333.USD","LU1119994496.HKD","LU2028103732.USD","LU2471134952.CNY","LU0861579265.USD","LU2065171311.SGD","LU0979878070.USD","SG9999014575.USD","IE00B19Z9505.USD","BK4230","NVDS","LU1037948897.HKD","LU2063271972.USD","LU1934455277.USD","IE0034235188.USD","LU0868494708.USD","LU1934455863.HKD","BK4579","IE0004445239.USD","IE00BFSS8Q28.SGD","LU1720051017.SGD","LU2746668974.SGD","LU2211815571.USD","NVIW.SI","IE00BMPRXN33.USD","LU0274383776.USD","BK4587","LU1821325948.USD","LU0719512351.SGD","LU1923622291.USD","LU2931357623.SGD","IE0034235303.USD","LU0048584097.USD","LU2456880835.USD","LU2461242641.AUD","LU0198837287.USD","BK4551","LU1064131342.USD","SG9999015978.USD","SG9999014567.USD","LU2247934214.USD","IE00BJTD4N35.SGD","LU0511384066.AUD","NVDW","NVDY","NVD3.UK","BK4614","LU1815336760.USD","LU2168564149.EUR","LU2487616109.SGD","LU2552382132.HKD","LU2505996681.GBP","LU1116320737.USD","NVDD","LU0225283273.USD","LU0642271901.SGD","BK4608","LU2092937148.SGD","LU0175139822.USD","IE0004445015.USD","LU2097344431.USD","LU2087621335.USD","LU0289960550.SGD","LU1868836914.USD","IE0003U64NQ7.SGD","SG9999015341.SGD","LU2089283258.USD","LU0057025933.USD","LU0276348264.USD","LU2168564065.EUR","LU2265009873.SGD","LU0823434740.USD","LU1232071149.USD","LU0965509283.SGD","LU1548497426.USD","IE00BJTD4V19.USD","NVDA","IE000KEQY171.SGD","LU0466842654.USD","LU2458330169.SGD","LU0889565833.HKD","LU1778281490.HKD","LU2237957811.SGD","LU2750360997.AUD","LU0080751232.USD","HK0000306685.HKD","SG9999015358.SGD","LU0096362180.USD","LU0354030511.USD","LU1992135472.HKD","BK4532","IE00BK4W5M84.HKD","LU0708994859.HKD","LU1868837300.USD","IE00B3SWFQ91.USD","LU1935042488.USD","LU1951200564.SGD","SG9999015952.SGD","LU1496350171.SGD","LU0082616367.USD","LU1974910355.USD","LU0077335932.USD","IE0034235295.USD","HK0000320223.HKD","LU1861220033.SGD","LU1496350502.SGD","LU1642822529.SGD","LU0823421416.USD","LU0965508806.USD","LU2326559502.SGD","LU0823414551.USD","LU2213496289.HKD","LU0868494617.USD","LU1951198990.SGD","LU0128525929.USD","LU1400636491.USD","LU0390134368.USD","LU0985320562.USD","LU2092627202.USD","LU1267930730.SGD","LU1316542783.SGD","NVDB","IE00B775H168.HKD","LU2360107168.USD","LU1861127337.USD","LU1674673428.USD","LU2602419157.SGD","LU0158827948.USD","LU1868836591.USD","IE00BJJMRX11.SGD","LU0472753341.HKD","LU0348723411.USD","LU2357305700.SGD","LU1989772840.SGD","LU2592432038.USD","LU0345769631.USD","LU0882574139.USD","LU2322448791.USD","SG9999015986.USD","IE00BWXC8680.SGD","LU0417517546.SGD","LU0308772762.SGD","LU2294711713.HKD","LU1242518857.USD","LU1992135399.USD","LU0788109477.HKD","LU2505996509.AUD","IE000ITXATA3.USD","LU0289961442.SGD","BK4598","LU0070217475.USD","NVDG","LU0187121727.USD","LU1691799644.USD","LU1066051225.USD","BK4592","SG9999014542.SGD","SNVD.UK","SG9999018857.SGD","NVII","LU0342679015.USD","LU2413666699.HKD","LU2552382058.USD","LU1988902786.USD","LU1923622614.USD","LU2360106780.USD","LU0266013472.USD","SG9999014898.SGD","3NVD.UK","LU1551013342.USD","LU1935042991.SGD","NVDQ","LU0072462426.USD","LU2249611893.SGD","IE000YTNTUN2.SGD","LU1323610961.USD","IE0004091025.USD","IE0001KFT4U8.USD","BK4534","LYFT","LU1571399168.USD","HK0000306701.USD","LU0528227936.USD","LU1037948541.HKD","IE00BKDWB100.SGD","LU1066051498.USD","SGXZ23171101.USD","LU0210528500.USD","SG9999002224.SGD","LU2237438978.USD","LU1202635105.USD","LU0345768153.USD","IE00BN29S564.USD","LU0683600562.USD","LU0965509010.AUD","LU2290526834.HKD","LU0256863902.USD","LU2381873111.SGD","LU2077746001.SGD","LU0203201768.USD","LU0323591593.USD","NVD","LU2125909593.SGD","LU1066053197.SGD","LU2087625088.SGD","IE0009G5SDU7.USD","BK4581","LU1861215975.USD","LU2065170008.USD","LU0081259029.USD","NVDX","LU0096364046.USD","IE00B3M56506.USD","SGXZ31699556.SGD","LU2168563687.JPY","LU2860962120.EUR","BK4549","LU2433249047.HKD","IE00B19Z8W00.USD","LU1718418525.SGD","LU0267386448.USD","IE00B3S45H60.SGD","IE00BHPRN162.USD","LU2237957902.USD","IE00BK4W5L77.USD","LU0345770308.USD","LU2896262040.SGD","LU0069063385.USD","IE00BKPKM429.USD","LU1145028129.USD","LU0345768740.USD","LU0256863811.USD","LU2420271590.USD","LU2357125470.USD","LU2491049909.HKD","LU1435385759.SGD","IE00BZ199S13.USD","LU2750360641.GBP","LU2491050071.SGD","LU2108987350.USD","BK4022","BK4527","LU0203202063.USD","LU0345770993.USD","LU2089284900.SGD","LU0943347566.SGD","IE00BFSS7M15.SGD","LU1674673691.USD","LU2430703251.USD","LU2272731782.SGD","LU2471134523.USD","SG9999017495.SGD","LU0310799852.SGD","LU2458330243.SGD","LU1645745479.HKD","SGXZ99366536.SGD","IE00B1XK9C88.USD","LU0265550946.USD","LU0289739343.SGD","IE000W1ABFV2.USD","SG9999002232.USD","NVD2.UK","IE00BYXW3230.USD","BK4533","BK4567","LU2111349929.HKD","LU2089985449.USD","LU2463028550.USD","LU0957808578.USD","LU0823414478.USD","LU1989772923.USD","LU2413666426.HKD","LU0494093205.USD","IE0004086264.USD","LU2430703178.SGD","LU1983260115.SGD","LU0640476718.USD","LU0310800379.SGD","LU0353189763.USD","LU0124676726.USD","LU0029864427.USD","LU0557290698.USD","NVDS.UK","SG9999014906.USD","LU0320765059.SGD","LU2746668461.USD","LU2242649171.HKD","LU0079474960.USD","LU1712237335.SGD","LU0210536198.USD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2617652137","title":"美國眾議院委員會要求旅遊公司回答有關使用人工智能定價的問題","url":"https://stock-news.laohu8.com/highlight/detail?id=2617652137","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2617652137?lang=zh_tw&edition=fundamental","pubTime":"2026-03-05 23:59","pubTimestamp":1772726372,"startTime":"0","endTime":"0","summary":"美国众议院委员会要求旅游公司回答有关使用人工智能定价的问题路透华盛顿3月5日 - 美国众议院监督委员会主席周四要求优步、Lyft 和 Expedia 等五家大型旅游公司的首席执行官披露他们是否利用对消费者的监控定价来提高成本。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:20260305:nL4T3ZT1M1:1","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":["LYFT","LU2471134879.HKD","BK4536","LU0642271901.SGD","LU2471134952.CNY","UBEW","LU1267930573.SGD","LU2750360997.AUD","LU0353189763.USD","CART","SG9999014906.USD","LU1316542783.SGD","UBER","UBRL","LU1121112475.USD","LU0708994859.HKD","LU1988902786.USD","BK4534","IE00B7SZLL34.SGD","LU0029864427.USD","EXPE","BK4113","BKNU","LU2264538146.SGD","IE00B19Z3581.USD","LU2237957811.SGD","SG9999018865.SGD","LYFX","SG9999014914.USD","LU2750360641.GBP","BK4588","BKNG","SGXZ31699556.SGD","LU0266013472.USD","LU0719512351.SGD","LU0557290698.USD","LU2360107325.USD","GB00BDT5M118.USD","LU0106261372.USD","IE0002270589.USD","LU0994945656.USD","LU0203345920.USD","SGXZ99366536.SGD","LU0006306889.USD","SG9999015978.USD","BK4561","LU0345774631.USD","LU1989764664.SGD","LU0082616367.USD","IE00BZ1G4Q59.USD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1143990628","title":"美國眾議院監督委員會質詢Uber、Lyft、Expedia等旅遊公司CEO：要求説明AI及消費者數據在定價中的應用","url":"https://stock-news.laohu8.com/highlight/detail?id=1143990628","media":"美股速递","labels":["policyRegulatory"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1143990628?lang=zh_tw&edition=fundamental","pubTime":"2026-03-05 23:48","pubTimestamp":1772725684,"startTime":"0","endTime":"0","summary":"美国众议院监督委员会已正式致函优步(Uber)、Lyft, Inc.、Expedia以及其他旅游公司的首席执行官，要求他们就人工智能技术及消费者数据在定价策略中的具体应用作出说明。\n该委员会在信件中明确指出，希望这些企业高管能够详细解释其如何利用AI算法和用户数据来动态调整服务价格。此举反映出立法机构对科技企业可能存在的算法定价、数据隐私及公平性等问题日益增长的关注。\n此次问询涵盖多家知名旅游与出行平台，显示出监管机构对该行业定价机制的审查正在扩大和深化。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"policyRegulatory","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LYFT","LU0082616367.USD","LU0868494708.USD","LU0316494557.USD","SG9999004303.SGD","LU2097829019.USD","LU0203345920.USD","LU0823411888.USD","LU1496350171.SGD","SG9999014898.SGD","LU1496350502.SGD","SG9999014906.USD","SGXZ23171101.USD","LU0353189763.USD","LU0868494617.USD","LU1861219969.SGD","LU1989764664.SGD","LU2471134523.USD","LU2264538146.SGD","BK4585","BKNG","BK4551","LU1814569148.SGD","SGXZ81514606.USD","BK4230","IE0002270589.USD","LU1988902786.USD","LU1064131342.USD","LU1861214812.USD","BKNU","SG9999015952.SGD","SG9999015986.USD","IE00BSNM7G36.USD","LU1571399168.USD","LU0345774631.USD","BK4503","LU0006306889.USD","BK4588","IE00BZ1G4Q59.USD","SG9999017495.SGD","SG9999015978.USD","LU0127658192.USD","LU0203347892.USD","UBER","LU2471134796.USD","IE00BZ199S13.USD","LU0029864427.USD","LU0426412945.USD","LU0642271901.SGD","LU0353189680.USD","LU0107464264.USD","LU0310800379.SGD","LU0557290698.USD","LU0345774391.USD","LU0077335932.USD","LU2087625088.SGD","LU0426417589.USD","BK4505","IE00B19Z3B42.SGD","SG9999018865.SGD","BK4534","LU1983260115.SGD","LU1699723380.USD","SG9999015945.SGD","BK4536","LU2750360641.GBP","SGXZ99366536.SGD","IE0004445239.USD","IE00B5TLWC47.USD","UBRL","SG9999014914.USD","BK4550","SGXZ31699556.SGD","SG9999014880.SGD","LU1043141123.HKD","LU0128525929.USD","LU0225283273.USD","SG9999018857.SGD","LU2471134879.HKD","EXPE","LU2750360997.AUD","IE00BFMHRM44.USD","LU0994945656.USD","BK4142","LU2237957902.USD","SGXZ51526630.SGD","IE00B19Z3581.USD","LYFX","IE00B7SZLL34.SGD","LU0719512351.SGD","LU1267930573.SGD","IE00BKVL7J92.USD","LU0266013472.USD","LU0708994859.HKD","LU1043141396.HKD","UBEW","LU1316542783.SGD","BK4535","GB00BDT5M118.USD","LU2237957811.SGD","LU2360107325.USD","BK4561","LU0942090050.USD","LU2471134952.CNY","LU0106261372.USD","BK4022","LU1121112475.USD","BK4548"],"isVideo":false,"video":null,"gpt_icon":0}],"pageSize":20,"totalPage":4,"pageCount":4,"totalSize":72,"code":"91000000","status":"200"}]}}