US StockDetailed Quotes

Provided by Tiger Fintech (Singapore) Pte. Ltd.

Meta Platforms, Inc.

771.39

-7.6100-0.98%

Volume:1.42M

Turnover:1.10B

Market Cap:1.94T

PE:27.98

High:783.15

Open:779.99

Low:771.21

Close:779.00

52wk High:796.25

52wk Low:479.80

Shares:2.51B

Float Shares:2.16B

Volume Ratio:1.94

T/O Rate:0.07%

Dividend:2.05

Dividend Rate:0.27%

EPS(TTM):27.57

EPS(LYR):24.61

ROE:40.65%

ROA:18.47%

PB:9.93

PE(LYR):31.35

Loading ...

Overview Company News Filings

Can Buying Meta Platforms Stock Today Set You Up for Life?

Meta Platforms Pins Hopes on AI Smart Glasses for New Growth

Prediction: This Underrated AI Stock Could Be the Next $3 Trillion Giant

Meta Platforms (META) Receives a Rating Update from a Top Analyst

Meta Faces Heat Over Child Safety As Senators Demand Mark Zuckerberg-Led Company Disclose Internal Research

META Stock Shines as ‘Mag-7’ Bargain with $850 Price Target in Sight

META, MSFT, GOOGL: Our AI Analyst Picks the Cream of the Magnificent Seven Stocks

Say Hello to the $400 Billion AI Bazooka Aimed at the Market

Meta Stock (META) Pops as Anticipation Builds for Debut of Hypernova Smart Glasses

Meta Stock Rises. This Is Its New AI Product. -- Barrons.com

META, MSFT, NVDA: 3 ‘Perfect 10’ Stocks Analysts Say to Buy Now

Meta to Unveil High-End Smart Glasses with Display Screen at Annual Connect Conference

Meta Reportedly Launching New Smart Glasses at Connect Event

MT Newswires Live

Market Chatter: Meta Platforms Rely on Key Chinese Supplier for AI Smart Glasses

MT Newswires Live

2 Tech Stocks You Can Buy and Hold for the Next Decade

Will Mag 7 Stocks Rally Post Fed? What the Charts of Microsoft, Tesla, Meta Say

Meta Faces China Supply Chain Risks as Goertek Builds New Hypernova Glasses

Prediction: This Unstoppable Stock Will Join Nvidia, Microsoft, Apple, and Alphabet in the $3 Trillion Club Before 2029

Ross Gerber Calls Meta's Upcoming Smart Glasses A 'Game Changer' After Leak Reveals Ray-Ban Display And Oakley Sphaera Models

Benzinga_recent_news

S&P 500 Top 10 Tech Stocks YTD Performance: Oracle Up 81%; Broadcom Up 57%; Netflix, Nvidia, Alphabet And Meta Up 30%

Tiger Newspress

{"basename":"","ssrTDKData":{"titleTemplate":"%s - Tiger Brokers","title":"Tiger Brokers | Global Stocks, Options & Futures Trading App","description":"Tiger Brokers, one-stop investment in US stocks, SGX stocks, HK stocks, A-shares & other global assets. One of the best stock trading platforms in Singapore.","keywords":"tiger brokers,tiger trade,tiger brokers singapore,broker online,stock trading in singapore,share trading singapore,brokerage firm singapore,trading app,stock broker singapore,stock trading platforms,trading account","social":{"ogDescription":"Tiger Brokers, one-stop investment in US stocks, SGX stocks, HK stocks, A-shares & other global assets. One of the best stock trading platforms in Singapore.","ogImage":"https://c1.itigergrowtha.com/portal5/static/media/og-logo.be62fbe1.png","ogUrl":"https://www-web.itiger.com/stock/META/news"},"companyName":"Tiger Brokers"},"pageData":{"isMobile":false,"isTiger":false,"isTTM":true,"region":"SGP","license":"TBSG","edition":"fundamental","symbol":"META","isAnalysisPage":false},"__swrFallback__":{"@#url:\"https://hq.skytigris.cn/stock_info/detail/global\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"META\",,,,,undefined,":{"symbol":"META","market":"US","secType":"STK","nameCN":"Meta Platforms, Inc.","latestPrice":771.39,"timestamp":1758117430031,"preClose":779,"halted":0,"volume":1416917,"delay":0,"floatShares":2164511337,"shares":2512141475,"eps":27.570436,"marketStatus":"Trading","change":-7.61,"latestTime":"09-17 09:57:10 EDT","open":779.99,"high":783.145,"low":771.21,"amount":1099292808.8531,"amplitude":0.015321,"askPrice":771.64,"askSize":17,"bidPrice":771.41,"bidSize":5,"shortable":3,"etf":0,"structuredFlag":true,"ttmEps":27.570436,"tradingStatus":2,"nextMarketStatus":{"tag":"Post-Mkt","tradingStatus":3,"beginTime":1758139200000},"marketStatusCode":2,"adr":0,"listingDate":1337313600000,"exchange":"NASDAQ","adjPreClose":779,"sharesOutstanding":66800000,"nav":12.3,"aum":821640000,"dividendRate":0.002658,"bidAskSpread":0,"preHourTrading":{"tag":"盘前","latestPrice":780,"preClose":779,"latestTime":"09:29 EDT","volume":106095,"amount":82464391.68825,"timestamp":1758115799912},"postHourTrading":{"tag":"盘后","latestPrice":779.9,"preClose":779,"latestTime":"19:59 EDT","volume":434713,"amount":338616440.146197,"timestamp":1758067198723},"volumeRatio":1.936142,"impliedVol":0.3121,"impliedVolPercentile":0.304},"@#url:\"https://hq.skytigris.cn/stock_info/fundamental/all\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"META\",,,,,undefined,":{"symbol":"META","floatShares":2164511337,"roa":"18.47%","roe":"40.65%","lyrEps":24.609313,"volumeRatio":1.936156,"shares":2512141475,"dividePrice":2.05,"high":783.145,"amplitude":0.015321,"preClose":779,"low":771.21,"week52Low":479.8,"pbRate":"9.93","psRate":"10.84","week52High":796.25,"institutionHeld":0,"latestPrice":771.39,"committee":-0.545455,"eps":27.570436,"divideRate":0.002658,"volume":1416927,"delay":0,"ttmEps":27.570436,"open":779.99,"prevYearClose":585.51,"prevWeekClose":755.59,"prevMonthClose":738.7,"prevQuarterClose":738.09,"fiveDayClose":751.98,"twentyDayClose":751.48,"sixtyDayClose":698.53},"@#url:\"https://hq.skytigris.cn/fundamental/corporate_actions/details/META\",params:#limit:5,,,undefined,":[{"date":"2025-09-22","symbol":"META","amount":0.525,"announcedDate":"2025-09-11","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2025-09-22","defaultRemindTime":1758547800000,"name":"Meta Platforms, Inc.","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2025-09-29","payableDate":"2025-09-22","currency":"USD","dateTimestamp":1758513600000,"payDate":"2025-09-29"},{"market":"US","date":"2025-07-30","symbol":"META","fiscalQuarterEnding":"2025/06","expectedEps":5.83,"name":null,"time":"Post Market","type":"earning","dateTimestamp":1753848000000,"reportTimeType":"post","actualEps":7.14},{"date":"2025-06-16","symbol":"META","amount":0.525,"announcedDate":"2025-05-29","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2025-06-16","defaultRemindTime":1750080600000,"name":"Meta Platforms, Inc.","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2025-06-26","payableDate":"2025-06-16","currency":"USD","dateTimestamp":1750046400000,"payDate":"2025-06-26"},{"market":"US","date":"2025-04-30","symbol":"META","fiscalQuarterEnding":"2025/03","expectedEps":5.22,"name":null,"time":"Post Market","type":"earning","dateTimestamp":1745985600000,"reportTimeType":"post","actualEps":6.43},{"date":"2025-03-14","symbol":"META","amount":0.525,"announcedDate":null,"type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2025-03-14","defaultRemindTime":1741959000000,"name":"Meta Platforms, Inc.","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2025-03-26","payableDate":"2025-03-14","currency":"USD","dateTimestamp":1741924800000,"payDate":"2025-03-26"}],"@#url:\"https://hq.skytigris.cn/fundamental/dividend/history\",params:#symbol:\"META\",market:\"US\",,,undefined,":[{"executeDate":"2024-02-21","recordDate":"2024-02-22","paymentDate":"2024-03-26","value":0.5,"currency":"USD"},{"executeDate":"2024-06-14","recordDate":"2024-06-14","paymentDate":"2024-06-26","value":0.5,"currency":"USD"},{"executeDate":"2024-09-16","recordDate":"2024-09-16","paymentDate":"2024-09-26","value":0.5,"currency":"USD"},{"executeDate":"2024-12-16","recordDate":"2024-12-16","paymentDate":"2024-12-27","value":0.5,"currency":"USD"},{"executeDate":"2025-03-14","recordDate":"2025-03-14","paymentDate":"2025-03-26","value":0.525,"currency":"USD"}],"@#url:\"https://hq.skytigris.cn/fundamental/estimate/recommendation\",params:#symbol:\"META\",market:\"US\",delay:false,,,undefined,":{"strongBuy":0.3188,"buy":0.5652,"hold":0.1014,"sell":0.0145,"strongSell":0,"meanLabel":"BUY","meanPercent":0.5652,"analysts":69,"updateTime":1756785600000},"@#url:\"https://hq.skytigris.cn/value_analysis/stock/META\",params:#withQuantilePoint:true,period:\"5year\",factor:\"peRate\",delay:false,algorithm:1,,,undefined,":{"brief":{"id":"META","date":"2025-09-15","current":26.544939,"percent":0.520782,"low":8.176651,"twenty":16.179595,"median":26.396743,"eighty":30.562095,"high":37.76576,"avg":24.739856,"sd":7.044129,"marketCap":1898148977095},"quantilePoints":[{"date":"2020-09-18","current":30.585921,"twenty":25.793235,"median":31.345005,"eighty":74.18568,"marketCap":719411458519},{"date":"2020-09-25","current":30.863282,"twenty":25.904175,"median":31.326795,"eighty":73.377813,"marketCap":725935246742},{"date":"2020-10-02","current":31.483406,"twenty":25.908358,"median":31.336177,"eighty":69.725887,"marketCap":740521183730},{"date":"2020-10-09","current":32.029648,"twenty":25.911626,"median":31.343333,"eighty":64.75327,"marketCap":753369343070},{"date":"2020-10-16","current":32.208902,"twenty":25.920596,"median":31.379885,"eighty":64.6492,"marketCap":757585590480},{"date":"2020-10-23","current":34.493187,"twenty":25.952308,"median":31.406865,"eighty":64.49345,"marketCap":811314256808},{"date":"2020-10-30","current":29.649244,"twenty":25.994565,"median":31.428829,"eighty":64.234338,"marketCap":749414284666},{"date":"2020-11-06","current":33.063679,"twenty":26.013865,"median":31.444106,"eighty":64.016995,"marketCap":835717552598},{"date":"2020-11-13","current":31.208841,"twenty":26.068271,"median":31.410209,"eighty":63.925669,"marketCap":788834655233},{"date":"2020-11-20","current":30.391855,"twenty":26.124272,"median":31.3996,"eighty":63.794696,"marketCap":768184533368},{"date":"2020-11-27","current":31.305752,"twenty":26.132729,"median":31.371675,"eighty":63.779121,"marketCap":791284186930},{"date":"2020-12-04","current":31.518732,"twenty":26.137506,"median":31.393847,"eighty":63.774166,"marketCap":796667460078},{"date":"2020-12-11","current":30.825703,"twenty":26.146075,"median":31.388095,"eighty":63.726732,"marketCap":779150460152},{"date":"2020-12-18","current":31.146862,"twenty":26.194313,"median":31.345005,"eighty":63.568858,"marketCap":787268094264},{"date":"2020-12-24","current":30.132674,"twenty":26.251594,"median":31.328698,"eighty":63.560363,"marketCap":761633460225},{"date":"2020-12-31","current":30.781754,"twenty":26.256528,"median":31.326003,"eighty":63.546204,"marketCap":778039626010},{"date":"2021-01-08","current":30.151831,"twenty":26.285186,"median":31.307825,"eighty":63.483195,"marketCap":762117669979},{"date":"2021-01-15","current":28.325164,"twenty":26.311423,"median":31.292634,"eighty":63.394701,"marketCap":715946845782},{"date":"2021-01-22","current":30.932756,"twenty":26.33112,"median":31.284849,"eighty":63.367799,"marketCap":781856338189},{"date":"2021-01-29","current":25.239778,"twenty":26.306578,"median":31.281538,"eighty":63.362135,"marketCap":735638578441},{"date":"2021-02-05","current":26.194343,"twenty":26.188603,"median":31.262946,"eighty":63.345144,"marketCap":763460313863},{"date":"2021-02-12","current":26.428831,"twenty":26.188603,"median":31.242911,"eighty":63.333817,"marketCap":770294721745},{"date":"2021-02-19","current":25.555361,"twenty":26.185733,"median":31.234658,"eighty":63.312578,"marketCap":744836552383},{"date":"2021-02-26","current":25.170409,"twenty":26.124272,"median":31.212784,"eighty":63.276472,"marketCap":733616732776},{"date":"2021-03-05","current":25.821115,"twenty":26.040557,"median":31.20546,"eighty":63.230455,"marketCap":752582214650},{"date":"2021-03-12","current":26.223654,"twenty":26.013865,"median":31.18719,"eighty":63.161075,"marketCap":764314614848},{"date":"2021-03-19","current":28.3448,"twenty":26.035316,"median":31.155877,"eighty":63.133465,"marketCap":826137529484},{"date":"2021-03-26","current":27.652081,"twenty":26.040557,"median":31.143448,"eighty":63.081784,"marketCap":805947549532},{"date":"2021-04-01","current":29.180166,"twenty":26.047201,"median":31.13478,"eighty":63.02444,"marketCap":850485107565},{"date":"2021-04-09","current":30.459758,"twenty":26.061075,"median":31.125984,"eighty":62.988334,"marketCap":887780105536},{"date":"2021-04-16","current":29.84756,"twenty":26.099633,"median":31.095701,"eighty":62.977714,"marketCap":869936992617},{"date":"2021-04-23","current":29.355268,"twenty":26.121849,"median":31.072483,"eighty":62.950104,"marketCap":855588629521},{"date":"2021-04-30","current":27.318482,"twenty":26.121849,"median":31.053331,"eighty":62.86161,"marketCap":921752908236},{"date":"2021-05-07","current":26.814265,"twenty":26.132729,"median":31.042389,"eighty":62.795769,"marketCap":904740119232},{"date":"2021-05-14","current":26.550392,"twenty":26.061075,"median":31.018254,"eighty":62.723558,"marketCap":895836759653},{"date":"2021-05-21","current":26.574762,"twenty":26.061075,"median":30.992231,"eighty":62.702319,"marketCap":896659044455},{"date":"2021-05-28","current":27.625214,"twenty":26.099633,"median":30.953582,"eighty":62.604621,"marketCap":932102354880},{"date":"2021-06-04","current":27.761353,"twenty":26.119426,"median":30.931629,"eighty":62.46303,"marketCap":936695807911},{"date":"2021-06-11","current":27.837826,"twenty":26.13154,"median":30.892873,"eighty":62.321438,"marketCap":939276080910},{"date":"2021-06-18","current":27.703368,"twenty":26.137484,"median":30.871084,"eighty":62.29666,"marketCap":934739337176},{"date":"2021-06-25","current":28.687432,"twenty":26.137596,"median":30.854803,"eighty":61.992239,"marketCap":967942630382},{"date":"2021-07-02","current":29.807634,"twenty":26.179993,"median":30.822223,"eighty":61.981619,"marketCap":1005739376619},{"date":"2021-07-09","current":29.447959,"twenty":26.191473,"median":30.78835,"eighty":61.338794,"marketCap":993603587130},{"date":"2021-07-16","current":28.669784,"twenty":26.217792,"median":30.762648,"eighty":60.79296,"marketCap":967347182767},{"date":"2021-07-23","current":31.07574,"twenty":26.246006,"median":30.756198,"eighty":41.586506,"marketCap":1048526540964},{"date":"2021-07-30","current":25.786587,"twenty":26.217792,"median":30.755433,"eighty":36.672342,"marketCap":1004568075706},{"date":"2021-08-06","current":26.308398,"twenty":26.171514,"median":30.735737,"eighty":36.320872,"marketCap":1024896270558},{"date":"2021-08-13","current":26.284515,"twenty":26.137574,"median":30.722196,"eighty":36.142356,"marketCap":1023965853873},{"date":"2021-08-20","current":26.008773,"twenty":26.129117,"median":30.694488,"eighty":35.954281,"marketCap":1013223770324},{"date":"2021-08-27","current":26.968442,"twenty":26.135228,"median":30.656199,"eighty":35.850897,"marketCap":1050609604407},{"date":"2021-09-03","current":27.231157,"twenty":26.137217,"median":30.648736,"eighty":35.830678,"marketCap":1060844187946},{"date":"2021-09-10","current":27.407024,"twenty":26.137551,"median":30.643722,"eighty":35.821522,"marketCap":1067695438083},{"date":"2021-09-17","current":26.39597,"twenty":26.157572,"median":30.599516,"eighty":35.796329,"marketCap":1028307798404},{"date":"2021-09-24","current":25.544861,"twenty":26.126694,"median":30.586754,"eighty":35.769757,"marketCap":995151131072},{"date":"2021-10-01","current":24.824747,"twenty":26.050026,"median":30.576585,"eighty":35.719664,"marketCap":967097658288},{"date":"2021-10-08","current":23.886789,"twenty":26.024009,"median":30.54876,"eighty":35.661296,"marketCap":930557657555},{"date":"2021-10-15","current":23.503935,"twenty":25.975722,"median":30.516884,"eighty":35.606362,"marketCap":915642796144},{"date":"2021-10-22","current":23.493079,"twenty":25.930348,"median":30.498178,"eighty":35.573892,"marketCap":915219879469},{"date":"2021-10-29","current":22.33262,"twenty":25.905569,"median":30.459758,"eighty":35.535529,"marketCap":900093926592},{"date":"2021-11-05","current":23.544602,"twenty":25.87781,"median":30.414304,"eighty":35.512758,"marketCap":948941623693},{"date":"2021-11-12","current":23.528037,"twenty":25.807304,"median":30.388671,"eighty":35.489564,"marketCap":948274001409},{"date":"2021-11-19","current":23.832413,"twenty":25.723496,"median":30.356343,"eighty":35.404936,"marketCap":960541560874},{"date":"2021-11-26","current":22.991756,"twenty":25.672206,"median":30.327704,"eighty":35.318982,"marketCap":926659729969},{"date":"2021-12-03","current":21.177925,"twenty":25.575037,"median":30.311763,"eighty":35.245867,"marketCap":853555089889},{"date":"2021-12-10","current":22.75916,"twenty":25.534972,"median":30.307316,"eighty":35.216173,"marketCap":917285200401},{"date":"2021-12-17","current":23.037999,"twenty":25.429163,"median":30.291725,"eighty":35.185883,"marketCap":928523508845},{"date":"2021-12-23","current":23.138077,"twenty":25.30829,"median":30.270975,"eighty":35.159728,"marketCap":932557060143},{"date":"2021-12-31","current":23.214689,"twenty":25.198028,"median":30.254576,"eighty":35.151282,"marketCap":935644813206},{"date":"2022-01-07","current":22.89996,"twenty":25.128554,"median":30.222568,"eighty":35.117728,"marketCap":922959989813},{"date":"2022-01-14","current":22.907552,"twenty":24.957621,"median":30.200599,"eighty":35.089556,"marketCap":923265983360},{"date":"2022-01-21","current":20.924624,"twenty":24.884137,"median":30.178992,"eighty":35.047772,"marketCap":843346032465},{"date":"2022-01-28","current":20.823855,"twenty":24.82367,"median":30.169651,"eighty":35.028779,"marketCap":839284663572},{"date":"2022-02-04","current":16.391801,"twenty":24.670366,"median":30.153217,"eighty":35.001873,"marketCap":645345219296},{"date":"2022-02-11","current":15.17913,"twenty":24.609075,"median":30.137911,"eighty":34.784731,"marketCap":597602357318},{"date":"2022-02-18","current":14.25338,"twenty":24.577208,"median":30.098585,"eighty":34.556668,"marketCap":561155554473},{"date":"2022-02-25","current":14.552053,"twenty":24.514211,"median":30.065595,"eighty":34.474701,"marketCap":572914343740},{"date":"2022-03-04","current":13.831641,"twenty":24.27164,"median":30.014021,"eighty":34.237375,"marketCap":544551708517},{"date":"2022-03-11","current":12.97088,"twenty":24.119691,"median":29.955053,"eighty":34.042718,"marketCap":510663531115},{"date":"2022-03-18","current":14.96757,"twenty":23.983479,"median":29.891329,"eighty":33.949945,"marketCap":589273214920},{"date":"2022-03-25","current":15.336072,"twenty":23.875914,"median":29.807467,"eighty":33.747529,"marketCap":603781165567},{"date":"2022-04-01","current":15.545559,"twenty":23.803611,"median":29.770834,"eighty":33.684622,"marketCap":612028649706},{"date":"2022-04-08","current":15.329475,"twenty":23.670631,"median":29.687338,"eighty":33.581522,"marketCap":603521417548},{"date":"2022-04-14","current":14.491742,"twenty":23.57572,"median":29.647764,"eighty":33.538155,"marketCap":570539880089},{"date":"2022-04-22","current":12.694236,"twenty":23.526381,"median":29.594562,"eighty":33.401913,"marketCap":499772087369},{"date":"2022-04-29","current":14.530415,"twenty":23.453276,"median":29.541721,"eighty":33.247439,"marketCap":542536649391},{"date":"2022-05-06","current":14.769605,"twenty":23.375228,"median":29.493431,"eighty":33.153805,"marketCap":551467516568},{"date":"2022-05-13","current":14.396324,"twenty":23.278436,"median":29.45,"eighty":33.049811,"marketCap":537529951125},{"date":"2022-05-20","current":14.028117,"twenty":23.211867,"median":29.382714,"eighty":32.992654,"marketCap":523781828319},{"date":"2022-05-27","current":14.143363,"twenty":23.126562,"median":29.240162,"eighty":32.929829,"marketCap":528084882505},{"date":"2022-06-03","current":13.828067,"twenty":23.087843,"median":29.18072,"eighty":32.887797,"marketCap":516312375771},{"date":"2022-06-10","current":12.72562,"twenty":23.037309,"median":29.058211,"eighty":32.843768,"marketCap":475149197055},{"date":"2022-06-17","current":11.868161,"twenty":22.983641,"median":28.981109,"eighty":32.770505,"marketCap":443133391387},{"date":"2022-06-24","current":12.744987,"twenty":22.916588,"median":28.91652,"eighty":32.711835,"marketCap":475872326939},{"date":"2022-07-01","current":11.98625,"twenty":22.848847,"median":28.792944,"eighty":32.641201,"marketCap":447542598026},{"date":"2022-07-08","current":12.798915,"twenty":22.794498,"median":28.711802,"eighty":32.614235,"marketCap":477885891087},{"date":"2022-07-15","current":12.336033,"twenty":22.672774,"median":28.66776,"eighty":32.513263,"marketCap":460602798818},{"date":"2022-07-22","current":12.678326,"twenty":22.599384,"median":28.578464,"eighty":32.471728,"marketCap":473383337923},{"date":"2022-07-29","current":12.71451,"twenty":22.43693,"median":28.536128,"eighty":32.426025,"marketCap":427588961895},{"date":"2022-08-05","current":13.354631,"twenty":22.368647,"median":28.427288,"eighty":32.390378,"marketCap":449116225155},{"date":"2022-08-12","current":14.424695,"twenty":22.243103,"median":28.340136,"eighty":32.325333,"marketCap":485102499196},{"date":"2022-08-19","current":13.422558,"twenty":22.109552,"median":28.300865,"eighty":32.29089,"marketCap":451400641357},{"date":"2022-08-26","current":12.928682,"twenty":22.014914,"median":28.276994,"eighty":32.203803,"marketCap":434791591800},{"date":"2022-09-02","current":12.812006,"twenty":21.956098,"median":28.207141,"eighty":32.151451,"marketCap":430867771031},{"date":"2022-09-09","current":13.517658,"twenty":21.883592,"median":28.17554,"eighty":32.081535,"marketCap":454598824038},{"date":"2022-09-16","current":11.690796,"twenty":21.816549,"median":28.116616,"eighty":32.041087,"marketCap":393161465968},{"date":"2022-09-23","current":11.220894,"twenty":21.740508,"median":28.039393,"eighty":31.998782,"marketCap":377358680953},{"date":"2022-09-30","current":10.842896,"twenty":21.600335,"median":27.924383,"eighty":31.934959,"marketCap":364646576680},{"date":"2022-10-07","current":10.664685,"twenty":21.505825,"median":27.879716,"eighty":31.880383,"marketCap":358653343588},{"date":"2022-10-14","current":10.130052,"twenty":21.432646,"median":27.761353,"eighty":31.823019,"marketCap":340673644310},{"date":"2022-10-21","current":10.389776,"twenty":21.39434,"median":27.704001,"eighty":31.790686,"marketCap":349408176844},{"date":"2022-10-28","current":9.122975,"twenty":21.334774,"median":27.668964,"eighty":31.758478,"marketCap":263033628460},{"date":"2022-11-04","current":8.349546,"twenty":21.256212,"median":27.652081,"eighty":31.731362,"marketCap":240734104112},{"date":"2022-11-11","current":10.393938,"twenty":21.223576,"median":27.568233,"eighty":31.662548,"marketCap":299678031135},{"date":"2022-11-18","current":10.304732,"twenty":21.177343,"median":27.535296,"eighty":31.642607,"marketCap":297106028921},{"date":"2022-11-25","current":10.245874,"twenty":21.010807,"median":27.488429,"eighty":31.612635,"marketCap":295409037770},{"date":"2022-12-02","current":11.356817,"twenty":20.94621,"median":27.407024,"eighty":31.566753,"marketCap":327439745752},{"date":"2022-12-09","current":10.658799,"twenty":20.881787,"median":27.325966,"eighty":31.5219,"marketCap":307314491316},{"date":"2022-12-16","current":10.861855,"twenty":20.765728,"median":27.286669,"eighty":31.48864,"marketCap":313168989143},{"date":"2022-12-23","current":10.735438,"twenty":20.625331,"median":27.233909,"eighty":31.463187,"marketCap":309524135296},{"date":"2022-12-30","current":10.944617,"twenty":20.341947,"median":27.183887,"eighty":31.452289,"marketCap":315555188424},{"date":"2023-01-06","current":11.824988,"twenty":20.298234,"median":27.108392,"eighty":31.422496,"marketCap":340938055500},{"date":"2023-01-13","current":12.457982,"twenty":19.885861,"median":26.999563,"eighty":31.378243,"marketCap":359188546703},{"date":"2023-01-20","current":12.675347,"twenty":19.651231,"median":26.918908,"eighty":31.328633,"marketCap":365455597562},{"date":"2023-01-27","current":13.800367,"twenty":19.41542,"median":26.870454,"eighty":31.311954,"marketCap":397892174600},{"date":"2023-02-03","current":20.845045,"twenty":18.958244,"median":26.753759,"eighty":31.288396,"marketCap":483605054888},{"date":"2023-02-10","current":19.461559,"twenty":18.958244,"median":26.688754,"eighty":31.261361,"marketCap":451508177284},{"date":"2023-02-17","current":19.319635,"twenty":18.928395,"median":26.634244,"eighty":31.219884,"marketCap":448215525058},{"date":"2023-02-24","current":19.041373,"twenty":18.79094,"median":26.574762,"eighty":31.195994,"marketCap":441759852583},{"date":"2023-03-03","current":20.702003,"twenty":18.733947,"median":26.502526,"eighty":31.152403,"marketCap":480286476267},{"date":"2023-03-10","current":20.060549,"twenty":18.733947,"median":26.452544,"eighty":31.129328,"marketCap":465404725261},{"date":"2023-03-17","current":21.859751,"twenty":18.733947,"median":26.414429,"eighty":31.079798,"marketCap":507146221984},{"date":"2023-03-24","current":23.021969,"twenty":18.733947,"median":26.352906,"eighty":31.074671,"marketCap":534109673283},{"date":"2023-03-31","current":23.684656,"twenty":18.840165,"median":26.312333,"eighty":31.074315,"marketCap":549484025803},{"date":"2023-04-06","current":23.633251,"twenty":18.840165,"median":26.276916,"eighty":31.074315,"marketCap":548291411611},{"date":"2023-04-14","current":24.624488,"twenty":18.733947,"median":26.194343,"eighty":31.074671,"marketCap":571288124401},{"date":"2023-04-21","current":23.560422,"twenty":18.733947,"median":26.13615,"eighty":31.074671,"marketCap":546601781695},{"date":"2023-04-28","current":28.509856,"twenty":18.733947,"median":26.094685,"eighty":31.074671,"marketCap":611365354031},{"date":"2023-05-05","current":27.907535,"twenty":18.733947,"median":26.094685,"eighty":31.074671,"marketCap":598449184579},{"date":"2023-05-12","current":28.178819,"twenty":18.733947,"median":26.094685,"eighty":31.074671,"marketCap":604266586296},{"date":"2023-05-19","current":29.500578,"twenty":18.733947,"median":26.094685,"eighty":31.074671,"marketCap":632610402592},{"date":"2023-05-26","current":30.198506,"twenty":18.733947,"median":26.094685,"eighty":31.074671,"marketCap":647576757671},{"date":"2023-06-02","current":32.579107,"twenty":18.733947,"median":26.094685,"eighty":31.112367,"marketCap":698626379788},{"date":"2023-06-09","current":31.619457,"twenty":18.733947,"median":26.094685,"eighty":31.129328,"marketCap":678047641555},{"date":"2023-06-16","current":33.680972,"twenty":18.733947,"median":26.094685,"eighty":31.134693,"marketCap":722254769142},{"date":"2023-06-23","current":34.045472,"twenty":18.627728,"median":26.073678,"eighty":31.131,"marketCap":730071101845},{"date":"2023-06-30","current":33.64512,"twenty":18.52151,"median":26.052672,"eighty":31.125984,"marketCap":721485949532},{"date":"2023-07-07","current":34.895175,"twenty":18.52151,"median":26.052672,"eighty":31.125984,"marketCap":748292126607},{"date":"2023-07-14","current":37.455039,"twenty":18.52151,"median":26.052672,"eighty":31.125984,"marketCap":803185846775},{"date":"2023-07-21","current":36.153595,"twenty":18.52151,"median":26.052672,"eighty":31.125984,"marketCap":775277694925},{"date":"2023-07-28","current":35.575274,"twenty":18.52151,"median":26.052672,"eighty":31.135042,"marketCap":802080131577},{"date":"2023-08-04","current":35.744186,"twenty":18.52151,"median":26.119426,"eighty":31.160051,"marketCap":805888410409},{"date":"2023-08-11","current":34.893922,"twenty":18.52151,"median":26.119426,"eighty":31.213799,"marketCap":786718358181},{"date":"2023-08-18","current":32.53715,"twenty":18.52151,"median":26.119426,"eighty":31.2624,"marketCap":733582575828},{"date":"2023-08-25","current":32.726604,"twenty":18.52151,"median":26.13615,"eighty":31.299397,"marketCap":737854023707},{"date":"2023-09-01","current":33.769747,"twenty":18.52151,"median":26.13615,"eighty":31.323799,"marketCap":761372718656},{"date":"2023-09-08","current":34.087027,"twenty":18.52151,"median":26.223654,"eighty":31.340341,"marketCap":768526107273},{"date":"2023-09-15","current":35.576415,"twenty":18.52151,"median":26.284515,"eighty":31.397299,"marketCap":802105863191},{"date":"2023-09-22","current":33.751486,"twenty":18.52151,"median":26.341022,"eighty":31.443324,"marketCap":760961012837},{"date":"2023-09-29","current":34.690771,"twenty":18.52151,"median":26.404714,"eighty":31.46559,"marketCap":782138130937},{"date":"2023-10-06","current":34.785499,"twenty":18.415291,"median":26.442799,"eighty":31.486801,"marketCap":784273854876},{"date":"2023-10-13","current":36.996185,"twenty":18.415291,"median":26.519596,"eighty":31.518732,"marketCap":834115990671},{"date":"2023-10-20","current":35.700817,"twenty":18.389057,"median":26.59488,"eighty":31.560422,"marketCap":804910609088},{"date":"2023-10-27","current":24.921636,"twenty":18.310356,"median":26.663224,"eighty":31.57781,"marketCap":741019918772},{"date":"2023-11-03","current":26.868004,"twenty":18.310356,"median":26.695959,"eighty":31.57781,"marketCap":798893227496},{"date":"2023-11-10","current":27.704631,"twenty":18.310356,"median":26.763466,"eighty":31.57781,"marketCap":823769498742},{"date":"2023-11-17","current":28.883515,"twenty":18.310356,"median":26.883918,"eighty":31.57781,"marketCap":858822426407},{"date":"2023-11-24","current":29.232686,"twenty":18.310356,"median":26.962404,"eighty":31.57781,"marketCap":869204671844},{"date":"2023-12-01","current":28.275059,"twenty":18.310356,"median":27.052898,"eighty":31.57781,"marketCap":840730592773},{"date":"2023-12-08","current":28.226659,"twenty":18.284122,"median":27.160231,"eighty":31.580744,"marketCap":839291469643},{"date":"2023-12-15","current":28.795358,"twenty":18.284122,"median":27.222185,"eighty":31.580744,"marketCap":856201166420},{"date":"2023-12-22","current":30.60344,"twenty":18.284122,"median":27.280666,"eighty":31.580744,"marketCap":909962694773},{"date":"2023-12-29","current":30.969033,"twenty":18.618407,"median":27.296126,"eighty":31.585091,"marketCap":920833214130},{"date":"2024-01-05","current":30.001034,"twenty":18.29043,"median":27.357087,"eighty":31.589438,"marketCap":892050751531},{"date":"2024-01-12","current":31.949995,"twenty":18.29043,"median":27.436703,"eighty":31.606889,"marketCap":950001156138},{"date":"2024-01-19","current":32.508323,"twenty":17.962454,"median":27.491834,"eighty":31.634181,"marketCap":966602469387},{"date":"2024-01-26","current":33.981927,"twenty":18.29043,"median":27.540495,"eighty":31.649262,"marketCap":1010418628967},{"date":"2024-02-02","current":34.120213,"twenty":18.29043,"median":27.568233,"eighty":31.676043,"marketCap":1014530409338},{"date":"2024-02-09","current":30.646591,"twenty":18.29043,"median":27.650198,"eighty":31.676043,"marketCap":1198220399820},{"date":"2024-02-16","current":31.561424,"twenty":18.29043,"median":27.664584,"eighty":31.676043,"marketCap":1233988553457},{"date":"2024-02-23","current":31.698356,"twenty":18.29043,"median":27.690762,"eighty":31.693996,"marketCap":1239342304179},{"date":"2024-03-01","current":31.959178,"twenty":18.618407,"median":27.750878,"eighty":31.710139,"marketCap":1249539924603},{"date":"2024-03-08","current":33.397611,"twenty":18.618407,"median":27.833407,"eighty":31.757101,"marketCap":1305779801242},{"date":"2024-03-15","current":32.070027,"twenty":18.618407,"median":27.896683,"eighty":31.768957,"marketCap":1253873913283},{"date":"2024-03-22","current":33.108751,"twenty":18.618407,"median":27.931686,"eighty":31.792307,"marketCap":1294485936622},{"date":"2024-03-28","current":32.202394,"twenty":18.618407,"median":28.002116,"eighty":31.832752,"marketCap":1259049205649},{"date":"2024-04-05","current":33.3148,"twenty":18.29043,"median":28.11447,"eighty":31.885495,"marketCap":1302542056757},{"date":"2024-04-12","current":34.112916,"twenty":18.29043,"median":28.17554,"eighty":31.939836,"marketCap":1333746775254},{"date":"2024-04-19","current":32.554935,"twenty":18.29043,"median":28.226659,"eighty":31.967412,"marketCap":1272832849015},{"date":"2024-04-26","current":24.467316,"twenty":18.618407,"median":28.277037,"eighty":31.979192,"marketCap":1119575461223},{"date":"2024-05-03","current":24.483946,"twenty":18.618407,"median":28.250859,"eighty":31.979192,"marketCap":1120336421480},{"date":"2024-05-10","current":26.354279,"twenty":18.618407,"median":28.193731,"eighty":31.979192,"marketCap":1205919085085},{"date":"2024-05-17","current":26.232879,"twenty":18.618407,"median":28.193731,"eighty":31.979192,"marketCap":1200364075206},{"date":"2024-05-24","current":25.819898,"twenty":18.618407,"median":28.193731,"eighty":31.979192,"marketCap":1181466895483},{"date":"2024-05-31","current":25.890299,"twenty":18.618407,"median":28.193731,"eighty":31.979192,"marketCap":1184688293906},{"date":"2024-06-07","current":27.370932,"twenty":18.618407,"median":28.193731,"eighty":31.979192,"marketCap":1252439122148},{"date":"2024-06-14","current":27.944117,"twenty":18.29043,"median":28.208643,"eighty":31.987422,"marketCap":1278666885683},{"date":"2024-06-21","current":27.811076,"twenty":17.962454,"median":28.217651,"eighty":31.995653,"marketCap":1272579203624},{"date":"2024-06-28","current":28.801121,"twenty":17.132825,"median":28.279016,"eighty":32.013444,"marketCap":1317881704275},{"date":"2024-07-05","current":28.268958,"twenty":17.132825,"median":28.268958,"eighty":32.013444,"marketCap":1293530976042},{"date":"2024-07-12","current":28.420846,"twenty":17.132825,"median":28.268958,"eighty":32.013444,"marketCap":1300481079725},{"date":"2024-07-15","current":27.654198,"twenty":17.132825,"median":28.268958,"eighty":32.013444,"marketCap":1265400811864},{"date":"2024-08-02","current":24.546691,"twenty":16.232878,"median":28.126558,"eighty":31.949878,"marketCap":1262534528228},{"date":"2024-08-09","current":25.066503,"twenty":16.232878,"median":28.057437,"eighty":31.949878,"marketCap":1289270511831},{"date":"2024-08-16","current":26.428947,"twenty":16.232878,"median":27.94578,"eighty":31.949878,"marketCap":1359346435889},{"date":"2024-08-23","current":26.163344,"twenty":16.232878,"median":27.915959,"eighty":31.949878,"marketCap":1345685425423},{"date":"2024-08-30","current":25.489008,"twenty":16.232878,"median":27.869312,"eighty":31.949878,"marketCap":1311001637739},{"date":"2024-09-06","current":25.422115,"twenty":16.232878,"median":27.825843,"eighty":31.949878,"marketCap":1307561086955},{"date":"2024-09-13","current":25.851998,"twenty":16.232878,"median":27.750878,"eighty":31.949878,"marketCap":1329671685376},{"date":"2024-09-20","current":27.499719,"twenty":16.232878,"median":27.684579,"eighty":31.949878,"marketCap":1414420546602},{"date":"2024-09-27","current":27.929602,"twenty":16.232878,"median":27.67055,"eighty":31.949878,"marketCap":1436531145023},{"date":"2024-10-04","current":28.663944,"twenty":16.232878,"median":27.67055,"eighty":31.949878,"marketCap":1474301309145},{"date":"2024-10-11","current":28.716081,"twenty":16.232878,"median":27.67055,"eighty":31.949878,"marketCap":1476982914903},{"date":"2024-10-18","current":28.3767,"twenty":16.232878,"median":27.67055,"eighty":31.949878,"marketCap":1459527179308},{"date":"2024-10-25","current":27.926651,"twenty":16.232878,"median":27.67055,"eighty":31.949878,"marketCap":1436379356018},{"date":"2024-10-31","current":26.956653,"twenty":16.232878,"median":27.660058,"eighty":31.949878,"marketCap":1497145554425},{"date":"2024-11-08","current":26.895332,"twenty":16.193147,"median":27.642651,"eighty":31.949995,"marketCap":1493739864976},{"date":"2024-11-15","current":26.234426,"twenty":16.193147,"median":27.55511,"eighty":31.949995,"marketCap":1457033801706},{"date":"2024-11-22","current":25.594884,"twenty":16.193147,"median":27.497286,"eighty":31.949995,"marketCap":1421514248046},{"date":"2024-11-29","current":26.105336,"twenty":16.193147,"median":27.456962,"eighty":31.949412,"marketCap":1449864254272},{"date":"2024-12-06","current":27.678511,"twenty":16.193147,"median":27.436703,"eighty":31.949412,"marketCap":1537236802399},{"date":"2024-12-13","current":28.672142,"twenty":16.193147,"median":27.436703,"eighty":31.946076,"marketCap":1592422121731},{"date":"2024-12-20","current":27.071241,"twenty":16.193147,"median":27.399157,"eighty":31.934481,"marketCap":1503509635598},{"date":"2024-12-27","current":27.424875,"twenty":16.193147,"median":27.370932,"eighty":31.837638,"marketCap":1523150156385},{"date":"2025-01-03","current":27.238058,"twenty":16.193147,"median":27.325966,"eighty":31.767674,"marketCap":1512774508514},{"date":"2025-01-10","current":27.759874,"twenty":16.18863,"median":27.322224,"eighty":31.742641,"marketCap":1541755636873},{"date":"2025-01-17","current":27.786237,"twenty":16.18863,"median":27.306289,"eighty":31.662729,"marketCap":1543219840222},{"date":"2025-01-24","current":28.929414,"twenty":16.18863,"median":27.306289,"eighty":31.645808,"marketCap":1606710726827},{"date":"2025-01-31","current":27.912507,"twenty":16.18863,"median":27.306289,"eighty":31.6218,"marketCap":1740623915055},{"date":"2025-02-07","current":28.927839,"twenty":16.18863,"median":27.306289,"eighty":31.566005,"marketCap":1803940060087},{"date":"2025-02-14","current":29.601071,"twenty":16.18863,"median":27.306289,"eighty":31.527868,"marketCap":1845922794108},{"date":"2025-02-21","current":28.231042,"twenty":16.18863,"median":27.306289,"eighty":31.478561,"marketCap":1760487803692},{"date":"2025-02-28","current":26.744001,"twenty":16.18863,"median":27.283667,"eighty":31.461326,"marketCap":1667755874593},{"date":"2025-03-07","current":25.512519,"twenty":16.184113,"median":27.233909,"eighty":31.465332,"marketCap":1590960662271},{"date":"2025-03-14","current":23.997442,"twenty":16.184113,"median":27.231157,"eighty":31.465332,"marketCap":1496480508279},{"date":"2025-03-21","current":23.808921,"twenty":16.184113,"median":27.231157,"eighty":31.465332,"marketCap":1484724329290},{"date":"2025-03-28","current":24.482559,"twenty":16.184113,"median":27.231157,"eighty":31.465332,"marketCap":1526732399903},{"date":"2025-04-04","current":21.599486,"twenty":16.184113,"median":27.231157,"eighty":31.465332,"marketCap":1346943938459},{"date":"2025-04-11","current":22.195521,"twenty":16.18863,"median":27.226671,"eighty":31.461326,"marketCap":1384112719876},{"date":"2025-04-17","current":20.408634,"twenty":16.18863,"median":27.179685,"eighty":31.461326,"marketCap":1272682385402},{"date":"2025-04-25","current":21.58291,"twenty":16.184113,"median":27.144877,"eighty":31.465332,"marketCap":1345910279181},{"date":"2025-05-02","current":21.591104,"twenty":16.184113,"median":27.011241,"eighty":31.465332,"marketCap":1438723195150},{"date":"2025-05-09","current":22.564611,"twenty":16.184113,"median":26.946696,"eighty":31.465332,"marketCap":1503592838174},{"date":"2025-05-16","current":24.295416,"twenty":16.184113,"median":26.814265,"eighty":31.465332,"marketCap":1618925029086},{"date":"2025-05-23","current":24.019589,"twenty":16.184113,"median":26.753759,"eighty":31.444134,"marketCap":1600545296895},{"date":"2025-05-30","current":24.339563,"twenty":16.184113,"median":26.713935,"eighty":31.422496,"marketCap":1621866791967},{"date":"2025-06-06","current":25.832651,"twenty":16.184113,"median":26.61397,"eighty":31.397698,"marketCap":1721358721210},{"date":"2025-06-13","current":26.162436,"twenty":16.184113,"median":26.574762,"eighty":31.328324,"marketCap":1743333941366},{"date":"2025-06-20","current":26.253372,"twenty":16.179595,"median":26.509774,"eighty":31.303498,"marketCap":1749393470036},{"date":"2025-06-27","current":27.397432,"twenty":16.179595,"median":26.505574,"eighty":31.222589,"marketCap":1825627872226},{"date":"2025-07-03","current":27.130283,"twenty":16.179595,"median":26.505574,"eighty":31.210676,"marketCap":1807826435303},{"date":"2025-07-11","current":27.440825,"twenty":16.179595,"median":26.505574,"eighty":31.152271,"marketCap":1828519348562},{"date":"2025-07-18","current":26.466186,"twenty":16.179595,"median":26.498258,"eighty":31.053782,"marketCap":1763574275721},{"date":"2025-07-25","current":26.971428,"twenty":16.179595,"median":26.498258,"eighty":30.982246,"marketCap":1797241117585},{"date":"2025-08-01","current":27.172035,"twenty":16.179595,"median":26.471052,"eighty":30.931854,"marketCap":1942990702424},{"date":"2025-08-08","current":26.764159,"twenty":16.179595,"median":26.467606,"eighty":30.904738,"marketCap":1913824739899},{"date":"2025-08-15","current":27.477327,"twenty":16.179595,"median":26.467606,"eighty":30.86203,"marketCap":1964821211841},{"date":"2025-08-22","current":25.965622,"twenty":16.179595,"median":26.447228,"eighty":30.759205,"marketCap":1856723764172},{"date":"2025-08-29","current":26.387551,"twenty":16.179595,"median":26.428889,"eighty":30.660928,"marketCap":1886894583287},{"date":"2025-09-05","current":26.301127,"twenty":16.175078,"median":26.397517,"eighty":30.616573,"marketCap":1880714715258},{"date":"2025-09-12","current":26.380173,"twenty":16.179595,"median":26.396743,"eighty":30.57986,"marketCap":1886367033577},{"date":"2025-09-15","current":26.544939,"twenty":16.179595,"median":26.396743,"eighty":30.562095,"marketCap":1898148977095}],"updateTime":1758081007397},"$inf$@#url:\"https://stock-news.skytigris.cn/v2/news/list\",params:#symbols:\"META\",pageSize:20,pageCount:1,lang_content:\"en\",edition:\"fundamental\",,,undefined,":[{"items":[{"id":"2568288460","title":"Can Buying Meta Platforms Stock Today Set You Up for Life?","url":"https://stock-news.laohu8.com/highlight/detail?id=2568288460","media":"Motley Fool","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2568288460?lang=en_us&edition=fundamental","pubTime":"2025-09-17 18:45","pubTimestamp":1758105900,"startTime":"0","endTime":"0","summary":"The company's work in artificial intelligence could usher in a new stage of hypergrowth for the social media giant.","market":"fut","thumbnail":"https://g.foolcdn.com/image/?url=https%3A%2F%2Fg.foolcdn.com%2Feditorial%2Fimages%2F833020%2Fperson-sitting-and-working-at-a-desk.jpg&op=resize&w=165&h=104","type":0,"news_type":0,"thumbnails":["https://g.foolcdn.com/image/?url=https%3A%2F%2Fg.foolcdn.com%2Feditorial%2Fimages%2F833020%2Fperson-sitting-and-working-at-a-desk.jpg&op=resize&w=165&h=104"],"rights":{"source":"fool_stock","url":"https://www.fool.com/investing/2025/09/17/can-buying-meta-platforms-stock-today-set-you-up/","rn_cache_url":null,"customStyle":"","selectors":".main-contain, #article-page","filters":"#sticky-wrapper, .navigation, .article-page-end, .foot, .author-tagline, .author-inline, .footer, .soc-share, .wysiwyg, .related-content","directOrigin":true},"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.fool.com/investing/2025/09/17/can-buying-meta-platforms-stock-today-set-you-up/","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":"fool_stock","symbols":["LU0345769128.USD","LU1564329461.SGD","IE00BQXX3D17.EUR","BK4550","IE0004445239.USD","LU2430703251.USD","IE00BWXC8680.SGD","LU2063271972.USD","LU1242518931.SGD","LU2265009873.SGD","LU0345769631.USD","LU1732800096.USD","LU0354030511.USD","LU0265550946.USD","IE0004445015.USD","LU0354030438.USD","BK4551","LU0648001328.SGD","LU0788109477.HKD","LU0784385840.USD","LU1564329115.USD","LU2087625088.SGD","LU0820562030.AUD","LU1868836757.USD","LU0320765489.SGD","LU0672654240.SGD","LU2746668974.SGD","IE00B7SZLL34.SGD","LU2430703095.HKD","LU0724617625.USD","IE00B19Z9505.USD","META","IE00BFSS7M15.SGD","LU0985320562.USD","LU1868836591.USD","LU0077335932.USD","LU0689472784.USD","LU2430703178.SGD","LU1153585028.USD","LU1803068979.SGD","IE00B7KXQ091.USD","LU2473716301.USD","LU1301847155.USD","LU1697837992.HKD","FB","LU0820561909.HKD","LU0310799852.SGD","LU2592432038.USD","LU0203202063.USD"],"gpt_icon":1},{"id":"1107696498","title":"Meta Platforms Pins Hopes on AI Smart Glasses for New Growth","url":"https://stock-news.laohu8.com/highlight/detail?id=1107696498","media":"Deep News","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1107696498?lang=en_us&edition=fundamental","pubTime":"2025-09-17 18:01","pubTimestamp":1758103274,"startTime":"0","endTime":"0","summary":"According to conference transcripts, Meta Platforms CEO Mark Zuckerberg stated during the company's July earnings call that he believes AI glasses will become \"the primary way we integrate super...","market":"hk","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","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":"productRelease","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU1823568750.SGD","BK4554","BK4534","LU1074936037.SGD","LU2746668461.USD","BK4579","LU2322448957.HKD","LU0211327993.USD","LU1868837300.USD","IE00B1BXHZ80.USD","IE00B19Z9505.USD","LU0096362180.USD","LU1670710661.SGD","LU0820562030.AUD","SGXZ31699556.SGD","LU1670628061.USD","IE00B7SZLL34.SGD","LU2420271590.USD","LU0795875086.SGD","LU1992135472.HKD","LU1642822529.SGD","LU2213496289.HKD","LU0256863902.USD","LU2247934214.USD","LU2896262040.SGD","LU0211328371.USD","LU1066053197.SGD","LU2430703251.USD","LU0345769128.USD","LU1242518857.USD","IE00BK4W5M84.HKD","LU0738911758.USD","LU0198837287.USD","LU2552382215.SGD","IE00BMPRXR70.SGD","LU0672654240.SGD","SGXZ51526630.SGD","GB00B4QBRK32.GBP","LU2361045086.USD","LU0912757837.SGD","LU0823421333.USD","LU2764263203.CNY","LU1674673428.USD","LU1839511570.USD","LU2242650005.HKD","LU0068578508.USD","BK4573","LU1551013342.USD","SG9999018857.SGD","LU2272731600.USD","LU0354030511.USD","IE00BQXX3D17.EUR","LU0545039389.USD","LU2403377893.USD","LU1803068979.SGD","LU2463028550.USD","LU1868836914.USD","LU1261432733.SGD","IE0002270589.USD","LU0689472784.USD","LU1301847155.USD","IE0004445239.USD","LU0070217475.USD","LU0980610538.SGD","IE0005OL40V9.USD","BK4508","LU0353189763.USD","LU2133065610.SGD","LU2272731865.HKD","LU0061475181.USD","LU1815336760.USD","LU0210533765.USD","LU2065169927.USD","IE00BQXX3F31.USD","SG9999015952.SGD","LU2125154935.USD","SG9999015986.USD","META","LU0096364046.USD","LU1974910355.USD","LU2065171311.SGD","SG9999002224.SGD","LU1778281490.HKD","IE00BKDWB100.SGD","LU2087621335.USD","LU0082616367.USD","LU0786609619.USD","LU1791710582.SGD","LU1815333072.USD","LU1791710400.SGD","FB","LU2023250843.SGD","LU0957791311.USD","LU2168564222.USD","LU0784384876.USD","LU0106261372.USD","LU0210536198.USD","SG9999014914.USD","LU2272731782.SGD","BK4543","SGXZ81514606.USD","LU0234570918.USD","LU2063271972.USD","LU0433182093.SGD","LU0276348264.USD","LU1674673691.USD","LU0348723411.USD","LU1732800096.USD","BK4592","GB00BDT5M118.USD","LU0011850046.USD","LU1868836591.USD","IE00BFSS8Q28.SGD","LU2417539215.USD","BK4503","LU0256863811.USD","LU2087625088.SGD","LU0345769631.USD","LU0683600562.USD","BK4524","LU0077335932.USD","IE00B5949003.HKD","SG9999004303.SGD","SG9999015978.USD","LU1201861249.SGD","LU2168564149.EUR","IE00B4JS1V06.HKD","LU2168564065.EUR","LU0154236417.USD","LU0053666078.USD","LU1852331112.SGD","LU2250418816.HKD","LU0234572021.USD","LU2237957811.SGD","LU0353189680.USD","LU0061474960.USD","LU0949170426.SGD","LU0640476718.USD","LU0109391861.USD","LU0320765489.SGD","BK4533","LU0528227936.USD","LU0109392836.USD","LU2168564495.EUR","IE00B19Z8X17.USD","LU0056508442.USD","LU0127658192.USD","IE00BWXC8680.SGD","LU0661504455.SGD","LU0265550946.USD","LU2756315318.SGD","IE0004445015.USD","SGXZ23171101.USD","LU1861558580.USD","LU0476273544.USD","LU2023250504.SGD","IE00B19Z8W00.USD","LU0466842654.USD","LU1116320737.USD","LU2456880835.USD","LU2552382058.USD","LU0203202063.USD","LU1435385759.SGD","LU1670627923.USD","LU0979878070.USD","LU1429558221.USD","GB00B4LPDJ14.GBP","LU0642271901.SGD","LU0820561818.USD","IE00B775H168.HKD","BK4585","LU1564329461.SGD","LU2168563687.JPY","BK4551","LU2023250330.USD","LU2361044865.SGD","LU1868836757.USD","LU2430703178.SGD","LU2458330169.SGD","LU2602419157.SGD","LU1116320901.HKD","LU0823421416.USD","LU2552382132.HKD","LU0215105999.USD","LU2720916845.USD","SG9999017495.SGD","BK4566","LU0308772762.SGD","LU0070302665.USD","BK4553","LU1814569148.SGD","LU0788109477.HKD","LU2065170008.USD","LU1280957306.USD","LU1718418525.SGD","LU0006306889.USD","LU1267930730.SGD","LU2106854487.HKD","LU2360032135.SGD","LU0708995401.HKD","LU1267930490.SGD","LU1316542783.SGD","LU0354030438.USD","LU1670710588.SGD","LU0203201768.USD","LU1720051108.HKD","IE00BQXX3C00.GBP","LU1732799900.SGD","LU1868837136.USD","BK4550","LU0784385170.HKD","LU0823434583.USD","LU1564329115.USD","LU1003077747.HKD","LU2264538146.SGD","LU0795875169.SGD","LU0203347892.USD","LU2458330243.SGD","IE00BK4W5L77.USD","LU1145028129.USD","LU1571399168.USD","LU0157215616.USD","LU0985320562.USD","LU0784385840.USD","LU0964807845.USD","LU0985489474.SGD","LU0787776722.HKD","IE0034235188.USD","LU0553294199.USD","IE00BJTD4N35.SGD","LU1551013425.SGD","IE00B19Z3581.USD","LU2404859741.USD","LU0072462426.USD","BK4588","LU2461242641.AUD","LU1046421795.USD","LU1720051017.SGD","LU0882574139.USD","LU1861559042.SGD","LU1564329628.SGD","LU2347655156.SGD","LU1084165304.USD","SG9999014898.SGD","LU2322448791.USD","SG9999014906.USD","LU0149725797.USD","LU2265009873.SGD","LU2317271919.USD","LU2357305700.SGD","IE00B19Z3B42.SGD","LU0225283273.USD","LU1914381329.SGD","LU1489326972.SGD","BK4581","LU2473716301.USD","LU1988902786.USD","IE00BJJMRX11.SGD","LU1697837992.HKD","BK4527","LU1235294995.USD","LU1699723380.USD","LU0210528500.USD","LU0079474960.USD","LU2326559502.SGD","LU0724617625.USD","IE00BN29S564.USD","LU0265550359.USD","LU0417517546.SGD","LU1670711040.USD","IE0034235303.USD","LU1670711123.USD","LU0820561909.HKD","LU1153585028.USD","LU2764263039.SGD","LU1242518931.SGD","LU0061474705.USD","LU1035775433.USD","BK4548","LU0784383803.USD","LU0957808578.USD","IE00BMPRXQ63.HKD","IE00BJJMRY28.SGD","LU1548497426.USD","LU2462157665.USD","LU2505996681.GBP","BK4525","LU2381873111.SGD","LU1564329032.USD","LU2347655073.USD","SG9999014880.SGD","LU0444973449.USD","LU2746668974.SGD","LU1992135399.USD","LU2592432038.USD","LU2404859667.USD","LU0310799852.SGD","LU0130102774.USD","LU1064131342.USD","LU2097829019.USD","LU2065171402.SGD","LU0719512351.SGD","SGXZ99366536.SGD","LU0943347566.SGD","SG9999001077.SGD","LU1366192091.USD","LU1066051498.USD","LU0267386448.USD","IE00BJLML261.HKD","LU0170899867.USD","LU0323591593.USD","SG9999018865.SGD","LU1366333091.USD","LU0208291251.USD","IE0009356076.USD","LU2543165471.USD","LU0949170772.SGD","LU2236285917.USD","LU0080751232.USD","IE00BMPRXN33.USD","LU0320765059.SGD","LU0444971666.USD","LU2764262908.HKD","LU0889565833.HKD","LU2860962120.EUR","LU0316494557.USD","LU0726765562.USD","LU2054465674.USD","IE00BFSS7M15.SGD","IE00BJTD4V19.USD","LU0823434740.USD","IE00B1XK9C88.USD","LU1069344957.HKD","LU2361044949.HKD","LU2237957902.USD","LU2756315664.SGD","LU0648001328.SGD","SG9999002232.USD","LU0211331839.USD","LU2125154778.USD","BK4507","LU1127390331.HKD","LU0097036916.USD","LU1804176565.USD","LU2430703095.HKD","LU2505996509.AUD","LU2487616109.SGD","LU0690374615.EUR","BK4587","LU1232071149.USD","BK4077","LU0203345920.USD","LU0690374961.EUR","IE00B7KXQ091.USD","LU1917777945.USD","LU2360106780.USD","SG9999015945.SGD","LU0878866978.SGD","LU1629891620.HKD","LU1119994496.HKD"],"gpt_icon":1},{"id":"2568462832","title":"Prediction: This Underrated AI Stock Could Be the Next $3 Trillion Giant","url":"https://stock-news.laohu8.com/highlight/detail?id=2568462832","media":"Motley Fool","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2568462832?lang=en_us&edition=fundamental","pubTime":"2025-09-17 17:36","pubTimestamp":1758101760,"startTime":"0","endTime":"0","summary":"AI is helping this tech giant clock a faster growth rate than the lucrative industry it operates in.","market":"nz","thumbnail":"https://g.foolcdn.com/image/?url=https%3A%2F%2Fg.foolcdn.com%2Feditorial%2Fimages%2F832986%2Fperson-online-shopping.jpg&op=resize&w=165&h=104","type":0,"news_type":0,"thumbnails":["https://g.foolcdn.com/image/?url=https%3A%2F%2Fg.foolcdn.com%2Feditorial%2Fimages%2F832986%2Fperson-online-shopping.jpg&op=resize&w=165&h=104"],"rights":{"source":"fool_stock","url":"https://www.fool.com/investing/2025/09/17/predict-underrated-ai-stock-next-3-trillion/","rn_cache_url":null,"customStyle":"","selectors":".main-contain, #article-page","filters":"#sticky-wrapper, .navigation, .article-page-end, .foot, .author-tagline, .author-inline, .footer, .soc-share, .wysiwyg, .related-content","directOrigin":true},"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.fool.com/investing/2025/09/17/predict-underrated-ai-stock-next-3-trillion/","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":"fool_stock","symbols":["LU0198837287.USD","META","LU0082616367.USD","LU1366192091.USD","LU0878866978.SGD","LU1181866309.USD","BK4532","LU0965509283.SGD","LU1228905037.USD","LU2125909247.SGD","LU1303367103.USD","LU0433182093.SGD","SG9999014880.SGD","IE00BN29S564.USD","LU0203201768.USD","SG9999004303.SGD","BK4097","USJW.SI","LU1340139317.AUD","LU2360108059.USD","LU1236620834.HKD","LU0894485498.HKD","FB","LU0738911758.USD","LU0820562030.AUD","IE00BQXX3C00.GBP","LU0889566641.SGD","LU1894683264.USD","LU0964807845.USD","LU0080751232.USD","BK4535","LU0823417737.USD","LU2191332357.HKD","IE00BK4W5M84.HKD","LU1983260115.SGD","LU2237443549.SGD","LU0323591593.USD","LU2506951875.HKD","LU1069347547.HKD","LU1032955483.USD","LU1043141396.HKD","LU2360032135.SGD","LU0642271901.SGD","LU1244550494.USD","LU0149725797.USD","IE000KEQY171.SGD"],"gpt_icon":1},{"id":"2568046173","title":"Meta Platforms (META) Receives a Rating Update from a Top Analyst","url":"https://stock-news.laohu8.com/highlight/detail?id=2568046173","media":"TIPRANKS","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2568046173?lang=en_us&edition=fundamental","pubTime":"2025-09-17 17:06","pubTimestamp":1758099968,"startTime":"0","endTime":"0","summary":"In a report released today, Justin Post from Bank of America Securities maintained a Buy rating on Meta Platforms, with a price target of $900.00. ...","market":"fut","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tipranks_highlight","url":"https://www.tipranks.com/news/blurbs/meta-platforms-meta-receives-a-rating-update-from-a-top-analyst-blurbs-7?utm_source=itigerup.com&utm_medium=referral","rn_cache_url":null,"directOrigin":true},"property":["rate"],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.tipranks.com/news/blurbs/meta-platforms-meta-receives-a-rating-update-from-a-top-analyst-blurbs-7?utm_source=itigerup.com&utm_medium=referral","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":"tipranks_highlight","symbols":["FB","META"],"gpt_icon":0},{"id":"2568345032","title":"Meta Faces Heat Over Child Safety As Senators Demand Mark Zuckerberg-Led Company Disclose Internal Research","url":"https://stock-news.laohu8.com/highlight/detail?id=2568345032","media":"Benzinga","labels":["policyRegulatory"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2568345032?lang=en_us&edition=fundamental","pubTime":"2025-09-17 14:27","pubTimestamp":1758090420,"startTime":"0","endTime":"0","summary":"Meta Platforms is facing bipartisan Senate pressure to release internal research on child safety after reports of ineffective parental controls and controversial AI chatbot policies, despite recent efforts to purge predator accounts and boost teen protections.","market":"us","thumbnail":"https://cdn.benzinga.com/files/images/story/2025/09/17/Metas-Smart-Glasses-Leak.jpeg?optimize=medium&dpr=2&auto=webp&width=260","type":0,"news_type":0,"thumbnails":["https://cdn.benzinga.com/files/images/story/2025/09/17/Metas-Smart-Glasses-Leak.jpeg?optimize=medium&dpr=2&auto=webp&width=260"],"rights":{"source":"benzinga_hot_news","url":"https://www.benzinga.com/markets/tech/25/09/47708064/meta-faces-heat-over-child-safety-as-senators-demand-mark-zuckerberg-led-company-disclose-internal-research","rn_cache_url":null,"directOrigin":true},"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.benzinga.com/markets/tech/25/09/47708064/meta-faces-heat-over-child-safety-as-senators-demand-mark-zuckerberg-led-company-disclose-internal-research","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"policyRegulatory","news_rank":0,"length":0,"strategy_id":0,"source":"benzinga_hot_news","symbols":["LU2720916845.USD","LU0708994859.HKD","LU2322448957.HKD","IE00BKPKM429.USD","LU0070302665.USD","LU1069344957.HKD","LU0965509101.SGD","LU0792757196.USD","META","IE00BJTD4N35.SGD","LU0724617625.USD","LU2322448791.USD","LU0048584097.USD","IE00B19Z3B42.SGD","LU1066053197.SGD","LU1861558580.USD","USJW.SI","FB","LU0823434740.USD","LU1366192091.USD","LU1989764664.SGD","LU2087621335.USD","LU2317271919.USD","LU0267386448.USD","LU1803068623.USD","LU1571399168.USD","LU2023251221.USD","SG9999014880.SGD","LU0323591593.USD","LU0823434583.USD","LU0353189680.USD","LU0094547139.USD","LU0788109477.HKD","LU0795875086.SGD","LU1935043536.SGD","LU2125154935.USD","LU2242649171.HKD","BK4514","LU1894683348.USD","LU0426417589.USD","SG9999015978.USD","LU1116320737.USD","LU1989764748.USD","LU0310800965.SGD","LU0107464264.USD","LU1894683264.USD","IE0009356076.USD","LU2746668974.SGD"],"gpt_icon":1},{"id":"2568431459","title":"META Stock Shines as ‘Mag-7’ Bargain with $850 Price Target in Sight","url":"https://stock-news.laohu8.com/highlight/detail?id=2568431459","media":"TIPRANKS","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2568431459?lang=en_us&edition=fundamental","pubTime":"2025-09-17 06:33","pubTimestamp":1758061980,"startTime":"0","endTime":"0","summary":"Meta Platforms ($META) has carried its post-Q2 momentum into the present, now trading about 42% above last year’s levels—a striking feat for a $1.8...","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tipranks_highlight","url":"https://www.tipranks.com/news/meta-stock-shines-as-mag-7-bargain-with-850-price-target-in-sight?utm_source=itigerup.com&utm_medium=referral","rn_cache_url":null,"directOrigin":true},"property":["rate"],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.tipranks.com/news/meta-stock-shines-as-mag-7-bargain-with-850-price-target-in-sight?utm_source=itigerup.com&utm_medium=referral","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tipranks_highlight","symbols":["META","FB"],"gpt_icon":0},{"id":"2568448759","title":"META, MSFT, GOOGL: Our AI Analyst Picks the Cream of the Magnificent Seven Stocks","url":"https://stock-news.laohu8.com/highlight/detail?id=2568448759","media":"TIPRANKS","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2568448759?lang=en_us&edition=fundamental","pubTime":"2025-09-17 01:59","pubTimestamp":1758045548,"startTime":"0","endTime":"0","summary":"Meta Platforms ($META), Microsoft ($MSFT) and Alphabet ($GOOGL) are at the top of the Magnificent Seven stocks leaderboard. That’s according to the...","market":"nz","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tipranks_highlight","url":"https://www.tipranks.com/news/meta-msft-googl-our-ai-analyst-picks-the-cream-of-the-magnificent-seven-stocks?utm_source=itigerup.com&utm_medium=referral","rn_cache_url":null,"directOrigin":true},"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.tipranks.com/news/meta-msft-googl-our-ai-analyst-picks-the-cream-of-the-magnificent-seven-stocks?utm_source=itigerup.com&utm_medium=referral","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":"tipranks_highlight","symbols":["LU0077335932.USD","LU2092937148.SGD","SG9999014567.USD","USJW.SI","MSFT","GOOGL","LU1323610961.USD","LU0795875086.SGD","LU2360108059.USD","IE00BDCRKT87.USD","FB","LU1188199696.SGD","LU2471134796.USD","LU2237957811.SGD","LU2097344357.USD","IE00BK4W5M84.HKD","META","IE00B3S45H60.SGD","LU0345774631.USD","LU2347655073.USD","LU0238689110.USD","LU1059921491.USD","LU2097344431.USD","LU1496350502.SGD","LU2471134523.USD","IE000W1ABFV2.USD","IE00B19Z3581.USD","IE00B4JS1V06.HKD","LU1720051108.HKD","LU0672654240.SGD","IE00BK4W5L77.USD","LU2092937221.SGD","LU0210528500.USD","SG9999002224.SGD","LU2106854487.HKD","LU1069347547.HKD","LU1803068623.USD","LU2092627202.USD","IE00BJJMRY28.SGD","IE00B775SV38.USD","GOOG","LU1267930730.SGD","LU2322448791.USD","LU1989764748.USD","LU1691799644.USD","LU0316494557.USD","LU2125154935.USD","IE00B19Z8X17.USD","LU0210536198.USD","IE00BJLML261.HKD"],"gpt_icon":0},{"id":"2567153481","title":"Say Hello to the $400 Billion AI Bazooka Aimed at the Market","url":"https://stock-news.laohu8.com/highlight/detail?id=2567153481","media":"InvestorPlace","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2567153481?lang=en_us&edition=fundamental","pubTime":"2025-09-16 23:48","pubTimestamp":1758037717,"startTime":"0","endTime":"0","summary":"AI stocks keep climbing as Big Tech unleashes the $400B 'AI Bazooka.' See where the money's flowing – and which companies could soar next.","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"investorplace_stock_picks","url":"https://investorplace.com/hypergrowthinvesting/2025/09/say-hello-to-the-400-billion-ai-bazooka-aimed-at-the-market/","rn_cache_url":null,"directOrigin":true},"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://investorplace.com/hypergrowthinvesting/2025/09/say-hello-to-the-400-billion-ai-bazooka-aimed-at-the-market/","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"investorplace_stock_picks","symbols":["MSFT","NVIW.SI","VST","03145","GOOGL","ETN","03165","NVDS.UK","LRCX","DELL","LITE","NVD2.UK","3NVD.UK","NVDD","NVDU","PWR","STX","USJW.SI","NVDS","WDC","GOOG","FB","RMBS","ANET","NVDX","DLR","SNVD.UK","ALAB","EQX","NVDA","AMAT","NVD3.UK","COHR","2NVD.UK","TSYW.SI","TSM","VRT","AMZN","META","CEG","NVD"],"gpt_icon":1},{"id":"2567448153","title":"Meta Stock (META) Pops as Anticipation Builds for Debut of Hypernova Smart Glasses","url":"https://stock-news.laohu8.com/highlight/detail?id=2567448153","media":"TIPRANKS","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2567448153?lang=en_us&edition=fundamental","pubTime":"2025-09-16 23:13","pubTimestamp":1758035596,"startTime":"0","endTime":"0","summary":"Social media giant Meta Platforms ($META) is expected to finally launch Hypernova, its new pair of AI-powered smart glasses, at its annual Connect ...","market":"nz","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tipranks_highlight","url":"https://www.tipranks.com/news/meta-stock-meta-pops-as-anticipation-builds-for-debut-of-hypernova-smart-glasses?utm_source=itigerup.com&utm_medium=referral","rn_cache_url":null,"directOrigin":true},"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.tipranks.com/news/meta-stock-meta-pops-as-anticipation-builds-for-debut-of-hypernova-smart-glasses?utm_source=itigerup.com&utm_medium=referral","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":"tipranks_highlight","symbols":["LU2168563687.JPY","LU2347655156.SGD","LU2403377893.USD","SG9999018857.SGD","META","LU1127390331.HKD","LU1917777945.USD","LU0157215616.USD","LU1720051017.SGD","LU2720916845.USD","LU1064131342.USD","LU0648001328.SGD","LU2361044949.HKD","LU0795875169.SGD","LU1267930490.SGD","LU2860962120.EUR","SG9999001077.SGD","LU0316494557.USD","LU0061474705.USD","LU0211328371.USD","LU1992135472.HKD","LU1974910355.USD","LU2322448791.USD","LU1732800096.USD","LU2461242641.AUD","FB","BK4503","LU2764262908.HKD","LU0320765489.SGD","LU2265009873.SGD","IE00B4JS1V06.HKD","LU0256863811.USD","IE00BK4W5L77.USD","LU0912757837.SGD","IE00BQXX3C00.GBP","LU2357305700.SGD","IE0005OL40V9.USD","LU0203345920.USD","LU2023250330.USD","LU2065171311.SGD","LU0784384876.USD","LU2552382132.HKD","IE00BFSS7M15.SGD","LU2381873111.SGD","LU1066053197.SGD","IE00BQXX3F31.USD","LU1674673691.USD","LU2896262040.SGD","LU0210533765.USD"],"gpt_icon":0},{"id":"2567486446","title":"Meta Stock Rises. This Is Its New AI Product. -- Barrons.com","url":"https://stock-news.laohu8.com/highlight/detail?id=2567486446","media":"Dow Jones","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2567486446?lang=en_us&edition=fundamental","pubTime":"2025-09-16 22:43","pubTimestamp":1758033780,"startTime":"0","endTime":"0","summary":"Meta Platforms was gaining on Tuesday ahead of its annual conference. A new pair of smart glasses is set to take center stage.Meta shares were up 0.4% at $767.86 in morning trading. The stock has fallen back from its record close of $790 in mid-August but is still riding high on the social media company's artificial-intelligence ambitions.Part of the reason for the positivity has been growing sales of its Ray-Ban Meta smart glasses. More than two million pairs have been sold since their launch in 2023, according to Meta's eyewear manufacturing partner EssilorLuxottica.Now Meta is aiming to build on that momentum with a new model of smart glasses with a built-in digital display, set to be unveiled at the company's two-day Connect conference beginning Wednesday. A video briefly posted to Meta's YouTube channel indicated the product would be Ray-Ban branded and could be controlled by a wristband, according to technology news outlet UploadVR.Meta didn't immediately respond to a request for","market":"sh","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://dowjonesnews.com/newdjn/logon.aspx?AL=N","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"productRelease","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["IE0004445239.USD","LU1861558580.USD","LU0882574139.USD","LU0345769631.USD","LU2111349929.HKD","LU2250418816.HKD","LU2860962120.EUR","LU1366192091.USD","LU0210528500.USD","LU1935042991.SGD","BK4532","BK4200","LU1674673691.USD","LU0823421333.USD","LU1791710400.SGD","LU0289960550.SGD","LU0557290698.USD","SG9999015978.USD","LU0784385170.HKD","LU1914381329.SGD","LU2065171311.SGD","LU2092937148.SGD","LU2097829019.USD","LU2360032135.SGD","IE00B5949003.HKD","LU0417517546.SGD","SG9999001077.SGD","IE0034235188.USD","LU1674673428.USD","LU0251132253.USD","USJW.SI","LU0353189680.USD","WRBY","LU2746668461.USD","LU1267930490.SGD","META","LU1069347547.HKD","LU0203347892.USD","LU0820561909.HKD","LU0965508806.USD","FB","LU0985489474.SGD","LU2168564222.USD","IE00B5TLWC47.USD","LU0211331839.USD","LU0553294199.USD","LU0068578508.USD","ESLOY"],"gpt_icon":1},{"id":"2567485747","title":"META, MSFT, NVDA: 3 ‘Perfect 10’ Stocks Analysts Say to Buy Now","url":"https://stock-news.laohu8.com/highlight/detail?id=2567485747","media":"TIPRANKS","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2567485747?lang=en_us&edition=fundamental","pubTime":"2025-09-16 22:13","pubTimestamp":1758031989,"startTime":"0","endTime":"0","summary":"Amid global market volatility, TipRanks offers valuable tools to guide investors. One of the most powerful is the Smart Score, which assigns a rank...","market":"nz","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tipranks_highlight","url":"https://www.tipranks.com/news/meta-msft-nvda-3-perfect-10-stocks-analysts-say-to-buy-now?utm_source=itigerup.com&utm_medium=referral","rn_cache_url":null,"directOrigin":true},"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.tipranks.com/news/meta-msft-nvda-3-perfect-10-stocks-analysts-say-to-buy-now?utm_source=itigerup.com&utm_medium=referral","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":"tipranks_highlight","symbols":["LU2491050154.USD","SNVD.UK","LU2896262040.SGD","3NVD.UK","NVD3.UK","LU0345769128.USD","NVDS.UK","LU2361045086.USD","NVDS","NVDX","NVD","LU1633808545.USD","LU0171293334.USD","LU0795875086.SGD","NVDU","META","SG9999015341.SGD","LU2362540622.SGD","LU0557290698.USD","NVDD","LU2097829019.USD","LU0965509283.SGD","MSFT","FB","LU1861215975.USD","NVD2.UK","LU2237443895.HKD","NVIW.SI","LU2237443622.USD","LU2491050071.SGD","LU1983260115.SGD","LU0215105999.USD","LU0302445910.USD","LU0106261372.USD","2NVD.UK","NVDA","NVDY","LU1043141396.HKD","IE00BZ199S13.USD","LU1127390331.HKD","LU2420271590.USD","LU2458330243.SGD","LU0786609619.USD","LU2506951958.HKD","LU1914381329.SGD","LU0820561909.HKD","LU2860962120.EUR","LU2133065610.SGD","LU1989772840.SGD"],"gpt_icon":0},{"id":"1133846016","title":"Meta to Unveil High-End Smart Glasses with Display Screen at Annual Connect Conference","url":"https://stock-news.laohu8.com/highlight/detail?id=1133846016","media":"Deep News","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1133846016?lang=en_us&edition=fundamental","pubTime":"2025-09-16 22:10","pubTimestamp":1758031842,"startTime":"0","endTime":"0","summary":"Despite facing scrutiny over child safety management on its social media platforms, Meta Platforms, Inc. (META) is expected to intensify its investment in AI-powered augmented reality products at its...","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU0053666078.USD","LU2361044865.SGD","LU0068578508.USD","LU2065169927.USD","LU0820561909.HKD","LU1629891620.HKD","SG9999014898.SGD","LU2764263203.CNY","IE00B7SZLL34.SGD","LU1064131342.USD","IE0002270589.USD","LU1571399168.USD","BK4524","BK4553","LU1366192091.USD","LU1548497426.USD","LU0308772762.SGD","LU0211328371.USD","LU2133065610.SGD","LU2361045086.USD","LU0157215616.USD","LU0719512351.SGD","IE00BQXX3C00.GBP","LU1791710582.SGD","LU0640476718.USD","LU0708995401.HKD","LU2237957811.SGD","LU0198837287.USD","LU0444973449.USD","SG9999004303.SGD","LU0323591593.USD","SG9999018865.SGD","LU1153585028.USD","LU0210536198.USD","IE00B19Z8W00.USD","LU2054465674.USD","LU0310799852.SGD","LU1674673428.USD","LU1066053197.SGD","LU1046421795.USD","LU0553294199.USD","LU1316542783.SGD","LU2326559502.SGD","LU0949170772.SGD","LU0979878070.USD","SGXZ99366536.SGD","BK4566","LU2764263039.SGD","IE00BK4W5M84.HKD","LU0795875169.SGD","LU0056508442.USD","BK4527","LU1914381329.SGD","LU1804176565.USD","SG9999014914.USD","LU0079474960.USD","LU0208291251.USD","LU0256863902.USD","LU2756315318.SGD","LU0265550359.USD","LU1670710588.SGD","BK4588","LU1815333072.USD","LU1852331112.SGD","LU1861559042.SGD","BK4525","LU2462157665.USD","LU0106261372.USD","LU0154236417.USD","META","IE00BFSS7M15.SGD","LU0788109477.HKD","LU2417539215.USD","SGXZ31699556.SGD","LU1267930730.SGD","LU0726765562.USD","BK4554","LU2430703178.SGD","LU2125154935.USD","BK4507","BK4550","LU1992135472.HKD","LU2264538146.SGD","LU0203345920.USD","IE00B1XK9C88.USD","LU2236285917.USD","LU0784383803.USD","LU1992135399.USD","LU1732799900.SGD","SGXZ51526630.SGD","LU1868836591.USD","LU0528227936.USD","LU1242518857.USD","LU0234572021.USD","LU0878866978.SGD","LU1116320737.USD","LU2087625088.SGD","LU0130102774.USD","LU1778281490.HKD","GB00B4LPDJ14.GBP","LU2860962120.EUR","LU2592432038.USD","LU2247934214.USD","BK4534","LU0149725797.USD","LU2347655156.SGD","LU1145028129.USD","IE00B19Z8X17.USD","LU2456880835.USD","LU0823421333.USD","LU2552382058.USD","LU0820562030.AUD","LU0203347892.USD","IE00B19Z9505.USD","BK4585","IE00BJJMRY28.SGD","LU2764262908.HKD","LU0127658192.USD","LU0072462426.USD","LU2065170008.USD","LU0276348264.USD","LU0225283273.USD","LU0096364046.USD","LU1868837136.USD","LU2756315664.SGD","LU2360032135.SGD","LU0949170426.SGD","SG9999015978.USD","LU0354030511.USD","LU0784385840.USD","LU1642822529.SGD","BK4508","LU2543165471.USD","LU0096362180.USD","LU0109392836.USD","LU1988902786.USD","LU2063271972.USD","BK4077","BK4592","LU1280957306.USD","LU2746668974.SGD","LU1489326972.SGD","LU0061475181.USD","LU1551013425.SGD","LU1119994496.HKD","SG9999017495.SGD","LU1670628061.USD","LU2322448957.HKD","LU0823434740.USD","SG9999018857.SGD","LU0784385170.HKD","LU2404859667.USD","IE0004445015.USD","BK4551","LU2023250330.USD","LU0823434583.USD","LU1670627923.USD","LU2023250504.SGD","LU1720051017.SGD","LU1366333091.USD","LU2065171402.SGD","SG9999002232.USD","IE00BJTD4N35.SGD","BK4548","LU2242650005.HKD","LU0784384876.USD","LU2168563687.JPY","IE00B5949003.HKD","LU0267386448.USD","SGXZ23171101.USD","LU2265009873.SGD","LU2404859741.USD","LU0234570918.USD","LU1718418525.SGD","LU0215105999.USD","LU2463028550.USD","LU2097829019.USD","IE00BJJMRX11.SGD","LU2430703251.USD","LU0348723411.USD","BK4543","LU1564329032.USD","LU1823568750.SGD","LU2106854487.HKD","LU1803068979.SGD","LU0210533765.USD","IE00BJTD4V19.USD","LU2125154778.USD","LU0211327993.USD","BK4573","LU0724617625.USD","LU0061474705.USD","LU1301847155.USD","LU0082616367.USD","LU2168564222.USD","LU0353189763.USD","LU1035775433.USD","LU0964807845.USD","LU0466842654.USD","LU1670711123.USD","IE00BJLML261.HKD","LU0433182093.SGD","LU1974910355.USD","LU2458330169.SGD","LU2896262040.SGD","LU2237957902.USD","LU2322448791.USD","LU0642271901.SGD","LU2168564149.EUR","LU0787776722.HKD","LU2065171311.SGD","LU2602419157.SGD","IE00BFSS8Q28.SGD","SG9999015952.SGD","LU1917777945.USD","IE00BMPRXN33.USD","LU1699723380.USD","LU2272731600.USD","LU0006306889.USD","LU0820561818.USD","LU0690374615.EUR","IE00B19Z3B42.SGD","LU0320765059.SGD","IE00B19Z3581.USD","LU0417517546.SGD","LU1564329461.SGD","LU1839511570.USD","LU2347655073.USD","LU0683600562.USD","LU2381873111.SGD","LU2250418816.HKD","LU0070217475.USD","IE0004445239.USD","LU0672654240.SGD","LU2552382132.HKD","LU1868836757.USD","IE00BMPRXQ63.HKD","LU1232071149.USD","LU0738911758.USD","IE00B4JS1V06.HKD","IE00B775H168.HKD","GB00B4QBRK32.GBP","SG9999015986.USD","LU0211331839.USD","LU2317271919.USD","LU2361044949.HKD","IE00BKDWB100.SGD","LU0320765489.SGD","LU1267930490.SGD","LU1861558580.USD","LU1720051108.HKD","LU2473716301.USD","LU0265550946.USD","LU0882574139.USD","LU1003077747.HKD","LU2272731865.HKD","LU2272731782.SGD","LU0203202063.USD","LU2552382215.SGD","LU0476273544.USD","FB","LU1732800096.USD","IE00BQXX3F31.USD","LU0690374961.EUR","LU0980610538.SGD","LU1814569148.SGD","LU0648001328.SGD","BK4533","LU0823421416.USD","LU2403377893.USD","LU0661504455.SGD","LU0912757837.SGD","LU2505996681.GBP","SG9999015945.SGD","IE00B1BXHZ80.USD","LU2430703095.HKD","SGXZ81514606.USD","LU0957808578.USD","LU0444971666.USD","IE00BK4W5L77.USD","LU0210528500.USD","LU1670711040.USD","IE0034235303.USD","LU1791710400.SGD","LU0786609619.USD","LU2461242641.AUD","LU0354030438.USD","BK4579","LU2720916845.USD","LU0011850046.USD","SG9999001077.SGD","LU1868837300.USD","LU1551013342.USD","LU0097036916.USD","LU1127390331.HKD","LU0795875086.SGD","SG9999014880.SGD","LU0345769631.USD","LU1201861249.SGD","LU1670710661.SGD","SG9999002224.SGD","LU0109391861.USD","LU1116320901.HKD","LU2360106780.USD","IE00BWXC8680.SGD","IE00BQXX3D17.EUR","IE0009356076.USD","LU0077335932.USD","LU1242518931.SGD","LU1815336760.USD","IE00B7KXQ091.USD","LU2213496289.HKD","IE0034235188.USD","LU1429558221.USD","IE00BN29S564.USD","LU2746668461.USD","LU1868836914.USD","IE00BMPRXR70.SGD","LU1235294995.USD","LU2505996509.AUD","BK4581","LU1066051498.USD","LU1069344957.HKD","LU1697837992.HKD","LU1261432733.SGD","LU2487616109.SGD","BK4503","LU2458330243.SGD","LU0889565833.HKD","LU0957791311.USD","LU2087621335.USD","GB00BDT5M118.USD","IE0005OL40V9.USD","LU0545039389.USD","LU0689472784.USD","LU1435385759.SGD","LU0353189680.USD","LU1564329628.SGD","LU0170899867.USD","LU2023250843.SGD","LU0070302665.USD","LU0943347566.SGD","BK4587","LU2168564495.EUR","LU1074936037.SGD","LU1674673691.USD","LU0345769128.USD","SG9999014906.USD","LU0061474960.USD","LU2420271590.USD","LU1564329115.USD","LU0985320562.USD","LU0985489474.SGD","LU0316494557.USD","LU1084165304.USD","LU0203201768.USD","LU0080751232.USD","LU2168564065.EUR","LU0256863811.USD","LU2357305700.SGD"],"gpt_icon":0},{"id":"2567410276","title":"Meta Reportedly Launching New Smart Glasses at Connect Event","url":"https://stock-news.laohu8.com/highlight/detail?id=2567410276","media":"MT Newswires Live","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2567410276?lang=en_us&edition=fundamental","pubTime":"2025-09-16 20:08","pubTimestamp":1758024531,"startTime":"0","endTime":"0","summary":"Meta Platforms  is anticipated to launch a new pair of smart glasses at its annual Connect event on Wednesday, multiple media outlets reported Tuesday.The device, internally called Hypernova, comes with a built-in display that can be controlled with hand gestures and is expected to cost $800, according to the reports.The new device builds upon Meta's partnership with EssilorLuxottica, which created Ray-Ban and Oakley smart glasses, CNBC reported.Meta did not immediately reply to a request for comment from MT Newswires.","market":"nz","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.mtnewswires.com/","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"productRelease","news_rank":0,"length":0,"strategy_id":0,"source":"mtnewswires_news","symbols":["LU1235294995.USD","LU2168564065.EUR","LU1551013425.SGD","LU2326559502.SGD","BK4548","LU0053666078.USD","LU0056508442.USD","LU1868837300.USD","LU1868836591.USD","BK4077","LU2168564222.USD","LU1035775433.USD","LU1732800096.USD","META","SG9999017495.SGD","LU0096362180.USD","LU0784384876.USD","LU2347655073.USD","BK4566","LU1003077747.HKD","LU0949170772.SGD","LU1069344957.HKD","GB00B4QBRK32.GBP","LU0080751232.USD","LU1642822529.SGD","LU2357305700.SGD","LU0795875086.SGD","LU0308772762.SGD","LU2552382058.USD","LU2023250843.SGD","LU0345769631.USD","LU2746668461.USD","LU0096364046.USD","LU2065171402.SGD","FB","LU0006306889.USD","LU2764263203.CNY","SG9999018865.SGD","LU0964807845.USD","LU2087621335.USD","LU0784383803.USD","LU2168564495.EUR","IE0004445015.USD","LU1718418525.SGD","IE00BK4W5L77.USD","LU0726765562.USD","SGXZ51526630.SGD","IE00B7KXQ091.USD","LU0889565833.HKD","LU1629891620.HKD"],"gpt_icon":1},{"id":"2567502101","title":"Market Chatter: Meta Platforms Rely on Key Chinese Supplier for AI Smart Glasses","url":"https://stock-news.laohu8.com/highlight/detail?id=2567502101","media":"MT Newswires Live","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2567502101?lang=en_us&edition=fundamental","pubTime":"2025-09-16 19:03","pubTimestamp":1758020593,"startTime":"0","endTime":"0","summary":"Meta Platforms  continues to rely on Chinese supplier Goertek for its new AI smart glasses, despite CEO Mark Zuckerberg's alignment with US President Donald Trump's tougher stance on Beijing, the Financial Times reported Tuesday.Goertek is producing Meta's upcoming Hypernova smart glasses and has tightened its grip on the industry by acquiring key component suppliers in China and the UK, according to the report.The Chinese hardware supplier remains a key partner in Vietnam, where Meta has tried to diversify production by manufacturing its Quest virtual reality headsets, the report said.Meta Platforms did not immediately respond to MT Newswires' request for comment.","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.mtnewswires.com/","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":"mtnewswires_news","symbols":["LU2236285917.USD","BK4592","LU0061475181.USD","LU1066053197.SGD","LU1548497426.USD","LU0738911758.USD","LU2065171402.SGD","IE00BMPRXQ63.HKD","LU2125154935.USD","LU2417539215.USD","LU0823434583.USD","LU2360106780.USD","IE00BJJMRY28.SGD","LU0210536198.USD","LU2272731782.SGD","LU2381873111.SGD","LU1861559042.SGD","BK4566","LU2357305700.SGD","BK4534","LU0726765562.USD","LU1992135399.USD","LU2463028550.USD","LU2552382215.SGD","LU0211328371.USD","LU0878866978.SGD","LU0642271901.SGD","LU0784384876.USD","LU1046421795.USD","FB","LU1992135472.HKD","LU2317271919.USD","LU1670628061.USD","LU0882574139.USD","LU1069344957.HKD","LU0823434740.USD","IE00B4JS1V06.HKD","LU0345769128.USD","LU1718418525.SGD","LU2487616109.SGD","LU2430703095.HKD","META","LU0980610538.SGD","LU1815336760.USD","LU0724617625.USD","BK4077","LU0323591593.USD","LU2326559502.SGD","LU0211331839.USD","LU0345769631.USD"],"gpt_icon":0},{"id":"2567035441","title":"2 Tech Stocks You Can Buy and Hold for the Next Decade","url":"https://stock-news.laohu8.com/highlight/detail?id=2567035441","media":"Motley Fool","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2567035441?lang=en_us&edition=fundamental","pubTime":"2025-09-16 17:15","pubTimestamp":1758014100,"startTime":"0","endTime":"0","summary":"These companies can help you grow your savings.","market":"us","thumbnail":"https://g.foolcdn.com/image/?url=https%3A%2F%2Fg.foolcdn.com%2Feditorial%2Fimages%2F833018%2Frocket-growth.jpg&op=resize&w=165&h=104","type":0,"news_type":0,"thumbnails":["https://g.foolcdn.com/image/?url=https%3A%2F%2Fg.foolcdn.com%2Feditorial%2Fimages%2F833018%2Frocket-growth.jpg&op=resize&w=165&h=104"],"rights":{"source":"fool_stock","url":"https://www.fool.com/investing/2025/09/16/tech-stocks-buy-hold-next-decade-meta-nflx/","rn_cache_url":null,"customStyle":"","selectors":".main-contain, #article-page","filters":"#sticky-wrapper, .navigation, .article-page-end, .foot, .author-tagline, .author-inline, .footer, .soc-share, .wysiwyg, .related-content","directOrigin":true},"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.fool.com/investing/2025/09/16/tech-stocks-buy-hold-next-decade-meta-nflx/","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":"fool_stock","symbols":["LU2317271919.USD","LU1868836757.USD","LU2133065610.SGD","LU0354030511.USD","IE00B1BXHZ80.USD","LU2461242641.AUD","LU2403377893.USD","LU0203345920.USD","LU0061475181.USD","IE00BK4W5L77.USD","LU2602419157.SGD","NFLX","SG9999014880.SGD","LU2023250843.SGD","IE00BMPRXQ63.HKD","LU2381873111.SGD","LU0417517546.SGD","LU2756315318.SGD","SG9999015952.SGD","LU0788109477.HKD","LU0795875086.SGD","BK4077","IE00B19Z8X17.USD","LU2065171311.SGD","LU1670710661.SGD","LU2764263203.CNY","LU0276348264.USD","LU1868837136.USD","LU2552382132.HKD","BK4503","LU2065169927.USD","BK4532","LU0719512351.SGD","LU2462157665.USD","LU2361044949.HKD","LU1435385759.SGD","LU1429558221.USD","BK4592","LU1868836591.USD","FB","LU0689472784.USD","LU1489326972.SGD","BK4524","LU0106261372.USD","META","LU0444973449.USD","LU0868494708.USD","IE00B775H168.HKD","IE00BWXC8680.SGD"],"gpt_icon":1},{"id":"2567433941","title":"Will Mag 7 Stocks Rally Post Fed? What the Charts of Microsoft, Tesla, Meta Say","url":"https://stock-news.laohu8.com/highlight/detail?id=2567433941","media":"Dow Jones","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2567433941?lang=en_us&edition=fundamental","pubTime":"2025-09-16 17:02","pubTimestamp":1758013343,"startTime":"0","endTime":"0","summary":"The mega-cap \"Magnificent Seven\" stocks didn't earn their nickname by chance. These market heavyweights have carried much of the load during this year's equity rally and this trend may accelerate as 2025 winds down.The Roundhill Magnificent Seven ETF is edging out the Nasdaq Composite year to date, with a 16% gain versus the index's 15%. This narrow outperformance speaks to broad participation across the technology sector. But if seasonal weakness begins to perk up, perhaps combined with a less dovish than anticipated Federal Reserve this week, investors can be expected to rotate defensively back into the Mag 7. Here's a closer look at the names that appear most technically compelling right now.Technically, round-number theory has been a factor. Meta bounced decisively off the $500 level in Q2 and recently traded between the $700 and $800 figures. The stock has formed a double bottom but investors may want to wait until it crosses above the $766.61 pivot handle before taking long posit","market":"sg","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://dowjonesnews.com/newdjn/logon.aspx?AL=N","is_publish_highlight":true,"source_rank":0,"column":"","sentiment":"1","news_top_title":"Will Mag 7 Stocks Rally Post Fed? What the Charts of Microsoft, Tesla, Meta Say","news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["TSLL","IE0004086264.USD","LU2433249047.HKD","US2Y.BOND","GB00B4QBRK32.GBP","LU2023251221.USD","US12M.BOND","LU0557290698.USD","US6M.BOND","IE00BWXC8680.SGD","SG9999014567.USD","LU2404859667.USD","US30Y.BOND","BK4585","LU2471134523.USD","TSLA","LU0048584097.USD","LU0965508806.USD","LU1791710582.SGD","META","LU2750360997.AUD","LU2764262908.HKD","LU2133065610.SGD","LU1435385759.SGD","MSFT","LU2063271972.USD","LU0203202063.USD","US5Y.BOND","LU1221951046.USD","LU0690374961.EUR","LU2592432038.USD","SG9999015358.SGD","SG9999001077.SGD","LU2237957811.SGD","LU2552382132.HKD","US10Y.BOND","US3Y.BOND","LU0256863902.USD","LU2746668974.SGD","US7Y.BOND","SG9999015986.USD","LU2097829019.USD"],"gpt_icon":0},{"id":"2567278170","title":"Meta Faces China Supply Chain Risks as Goertek Builds New Hypernova Glasses","url":"https://stock-news.laohu8.com/highlight/detail?id=2567278170","media":"TIPRANKS","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2567278170?lang=en_us&edition=fundamental","pubTime":"2025-09-16 16:34","pubTimestamp":1758011643,"startTime":"0","endTime":"0","summary":"Meta Platforms ($META) is getting ready to launch a new set of smart glasses called Hypernova, but the hardware is still closely linked to a Chines...","market":"fut","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tipranks_highlight","url":"https://www.tipranks.com/news/meta-faces-china-supply-chain-risks-as-goertek-builds-new-hypernova-glasses?utm_source=itigerup.com&utm_medium=referral","rn_cache_url":null,"directOrigin":true},"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.tipranks.com/news/meta-faces-china-supply-chain-risks-as-goertek-builds-new-hypernova-glasses?utm_source=itigerup.com&utm_medium=referral","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":"tipranks_highlight","symbols":["LU0417517546.SGD","LU2347655073.USD","IE00BJJMRY28.SGD","LU0985320562.USD","LU1670710661.SGD","LU0980610538.SGD","LU2360106780.USD","SG9999018857.SGD","LU1127390331.HKD","IE00B7KXQ091.USD","FB","LU1629891620.HKD","LU2756315318.SGD","LU2860962120.EUR","LU2420271590.USD","LU1084165304.USD","IE00B19Z8X17.USD","LU2430703095.HKD","LU1815336760.USD","BK4585","LU0198837287.USD","LU0957808578.USD","LU0210533765.USD","LU2458330243.SGD","LU0106261372.USD","BK4551","LU0788109477.HKD","LU1914381329.SGD","LU2168564495.EUR","LU1242518931.SGD","LU1201861249.SGD","IE00BWXC8680.SGD","LU1064131342.USD","LU2746668461.USD","LU0823434740.USD","LU0345769128.USD","LU2097829019.USD","LU0210536198.USD","LU1119994496.HKD","LU0211327993.USD","GB00B4QBRK32.GBP","LU0061474705.USD","META","IE00BJTD4N35.SGD","LU2250418816.HKD","LU0006306889.USD","LU1066053197.SGD","LU2381873111.SGD","LU0225283273.USD","LU0011850046.USD"],"gpt_icon":0},{"id":"2567917102","title":"Prediction: This Unstoppable Stock Will Join Nvidia, Microsoft, Apple, and Alphabet in the $3 Trillion Club Before 2029","url":"https://stock-news.laohu8.com/highlight/detail?id=2567917102","media":"Motley Fool","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2567917102?lang=en_us&edition=fundamental","pubTime":"2025-09-16 15:02","pubTimestamp":1758006120,"startTime":"0","endTime":"0","summary":"A strong track record of growth and a proven strategy will ensure its membership in this exclusive society.","market":"fut","thumbnail":"https://g.foolcdn.com/image/?url=https%3A%2F%2Fg.foolcdn.com%2Feditorial%2Fimages%2F833672%2Fa-person-typing-on-a-keyboard-with-a-graph-showing-on-the-computer-monitor.jpg&op=resize&w=165&h=104","type":0,"news_type":0,"thumbnails":["https://g.foolcdn.com/image/?url=https%3A%2F%2Fg.foolcdn.com%2Feditorial%2Fimages%2F833672%2Fa-person-typing-on-a-keyboard-with-a-graph-showing-on-the-computer-monitor.jpg&op=resize&w=165&h=104"],"rights":{"source":"fool_stock","url":"https://www.fool.com/investing/2025/09/16/prediction-this-unstoppable-stock-will-join-nvidia/","rn_cache_url":null,"customStyle":"","selectors":".main-contain, #article-page","filters":"#sticky-wrapper, .navigation, .article-page-end, .foot, .author-tagline, .author-inline, .footer, .soc-share, .wysiwyg, .related-content","directOrigin":true},"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.fool.com/investing/2025/09/16/prediction-this-unstoppable-stock-will-join-nvidia/","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":"fool_stock","symbols":["LU0234570918.USD","NVD","NVD3.UK","2NVD.UK","LU1043141396.HKD","LU1121112475.USD","META","NVDU","LU0162691827.USD","LU0426417589.USD","LU1988902786.USD","LU1435385759.SGD","LU1868837300.USD","LU1697837992.HKD","LU1699723380.USD","IE00BJJMRY28.SGD","LU0417517546.SGD","NVD2.UK","NVDX","NVDS.UK","LU0289941410.SGD","NVDY","IE00BQXX3F31.USD","IE00BKPKM429.USD","SNVD.UK","NVDD","LU1861220033.SGD","LU0965509010.AUD","LU0109392836.USD","SG9999015945.SGD","LU2462157665.USD","IE00BJTD4V19.USD","NVIW.SI","MACW.SI","FB","IE0004086264.USD","NVDS","LU1280957306.USD","LU2506951958.HKD","LU1244550577.SGD","LU0823417653.USD","3NVD.UK","IE0005OL40V9.USD"],"gpt_icon":1},{"id":"2567171754","title":"Ross Gerber Calls Meta's Upcoming Smart Glasses A 'Game Changer' After Leak Reveals Ray-Ban Display And Oakley Sphaera Models","url":"https://stock-news.laohu8.com/highlight/detail?id=2567171754","media":"Benzinga_recent_news","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2567171754?lang=en_us&edition=fundamental","pubTime":"2025-09-16 14:38","pubTimestamp":1758004680,"startTime":"0","endTime":"0","summary":"Meta Platforms' leaked Ray-Ban Display and Oakley Sphaera smart glasses drew praise from investor Ross Gerber, who called them a \"game changer\" ahead of the company's Connect 2025 event.","market":"us","thumbnail":"https://cdn.benzinga.com/files/images/story/2025/09/16/Meta-Logo-On-A-Smartphone-Screen-With-A-.jpeg?optimize=medium&dpr=2&auto=webp&width=240","type":0,"news_type":0,"thumbnails":["https://cdn.benzinga.com/files/images/story/2025/09/16/Meta-Logo-On-A-Smartphone-Screen-With-A-.jpeg?optimize=medium&dpr=2&auto=webp&width=240"],"rights":{"source":"benzinga_recent_news","url":"https://www.benzinga.com/markets/tech/25/09/47684301/ross-gerber-calls-metas-upcoming-smart-glasses-a-game-changer-after-leak-reveals-ray-ban-display-and-oakley-sphaera-models","rn_cache_url":null,"directOrigin":true},"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.benzinga.com/markets/tech/25/09/47684301/ross-gerber-calls-metas-upcoming-smart-glasses-a-game-changer-after-leak-reveals-ray-ban-display-and-oakley-sphaera-models","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"productRelease","news_rank":0,"length":0,"strategy_id":0,"source":"benzinga_recent_news","symbols":["LU0494093205.USD","LU2092627202.USD","LU0128525929.USD","LU0528227936.USD","LU2168564149.EUR","LU2404859667.USD","LU0965508806.USD","ROST","LU2272731600.USD","LU1670710588.SGD","LU1732800096.USD","LU1121112475.USD","SGXZ81514606.USD","BK4527","LU0323591593.USD","LU2361044949.HKD","LU0215105999.USD","BK4524","LU2360106780.USD","FB","USJW.SI","LU0738911758.USD","SG9999014898.SGD","LU0238689110.USD","SG9999017495.SGD","LU1303367103.USD","META","LU1235294995.USD","LU0234570918.USD","LU0476273544.USD","LU1066053197.SGD","LU0466842654.USD","LU2491050071.SGD","LU0203345920.USD","LU1280957306.USD","LU2746668974.SGD","LU0079474960.USD","LU2552382215.SGD","LU0742534661.SGD","LU1935042991.SGD","LU0456855351.SGD","LU2404859741.USD","LU0094547139.USD","SG9999000418.SGD","LU1718418525.SGD","LU1868837136.USD","LU2471134879.HKD","LU1989764664.SGD"],"gpt_icon":1},{"id":"1166408927","title":"S&P 500 Top 10 Tech Stocks YTD Performance: Oracle Up 81%; Broadcom Up 57%; Netflix, Nvidia, Alphabet And Meta Up 30%","url":"https://stock-news.laohu8.com/highlight/detail?id=1166408927","media":"Tiger Newspress","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1166408927?lang=en_us&edition=fundamental","pubTime":"2025-09-16 14:06","pubTimestamp":1758002787,"startTime":"0","endTime":"0","summary":"The S&P 500 closed above 6,600 for the first time on Monday. It has gained 12% this year. Among the S&P 500 constituent tech stocks, Oracle performed best, soaring 81% YTD; Broadcom up 57%; Netflix...","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":true,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["MSFT","NFLX","META","ORCL","NVDA","AVGO","GOOG"],"gpt_icon":0}],"pageSize":20,"totalPage":20,"pageCount":1,"totalSize":396,"code":"91000000","status":"200"}]}}