美股詳情

本頁面由Tiger Fintech (Singapore) Pte. Ltd.提供服務

拉夫勞倫

197.89

-38.4600-16.27%

盤後：197.75-0.1400-0.07%19:55 EDT

成交量：334.66萬

成交額：6.65億

市值：122.23億

市盈率：18.12

高：212.86

開：208.99

低：193.00

收：236.35

資料載入中...

總覽公司新聞公告

成本僅國外三十分之一，中國大模型已經追上美國了？

正對着中企狂抄？Meta被曝整個AI部門深陷恐慌

中國AI太強，Meta工程師嚇瘋？自曝瘋狂熬夜複製DeepSeek，天價高管心虛了

炸場硅谷，大模型“蒸汽機”迎來“瓦特時刻”

拉夫勞倫任命首席運營官

中國AI雙子星，在硅谷教OpenAI做事？

人事四則｜Ralph Lauren 任命COO，Birkenstock任命CFO，Mytheresa、Flos B&B高層變動

拉夫勞倫：任命新首席運營官 3 月生效

拉夫勞倫：任命Robert Ranftl擔任首席運營官職務

拉夫勞倫任命北美區域CEO接任首席運營官一職

BUZZ-拉爾夫-勞倫任命內部人士鮑勃-蘭夫特爾為新任首席運營官；股價上漲

Kimi硬剛多模態滿血版o1，首曝訓練細節！強化學習scaling新範式誕生

华尔街见闻

太猛了！DeepSeek-R1 重磅來襲：比肩 o1且完全開源，API價格把o1打“骨折”

华尔街见闻

拉夫勞倫，接不住潑天流量

拉夫勞倫390元嬰兒圍嘴被曝熒光劑超標，客服：所有商品都已經過質檢合格認證

Argus上調拉夫勞倫評級至“買入”

格隆汇资讯

靈初智能發佈首個端到端具身模型Psi R0

大模型“六小虎”的2024：大廠強勢，蹊徑難尋

华尔街见闻

標普估值高企，但這些股票仍然是市場的“隱藏寶石”

o3 沒有“刷榜”

华尔街见闻

{"basename":"/hant","ssrTDKData":{"titleTemplate":"%s - 老虎證券","title":"老虎证券全球投资理财平台| 一站式投资美股新股港股A股","description":"老虎证券助您一站式投资美股，新股，港股，A股等全球金融理财产品。新加坡华人最信赖的在线投资平台，现在加入即享低费用，24/5 无时差炒美股投资理财！","keywords":"老虎證券,老虎證券開戶,老虎券商,老虎證券官網,老虎證券app,tigertrade老虎證券,股票,炒股,新加坡股票交易平臺,投資,投資理財","social":{"ogDescription":"老虎证券助您一站式投资美股，新股，港股，A股等全球金融理财产品。新加坡华人最信赖的在线投资平台，现在加入即享低费用，24/5 无时差炒美股投资理财！","ogImage":"https://c1.itigergrowtha.com/portal5/static/media/og-logo.be62fbe1.png","ogUrl":"https://www.itiger.com/hant/stock/RL/news?page=4"},"companyName":"老虎證券"},"pageData":{"isMobile":false,"isTiger":false,"isTTM":true,"region":"SGP","license":"TBSG","edition":"fundamental","symbol":"RL","isAnalysisPage":false},"__swrFallback__":{"@#url:\"https://hq.skytigris.cn/stock_info/detail/global\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"RL\",,,,,undefined,":{"symbol":"RL","market":"US","secType":"STK","nameCN":"拉夫勞倫","latestPrice":197.89,"timestamp":1743710400000,"preClose":236.35,"halted":0,"volume":3346556,"hourTrading":{"tag":"盘后","latestPrice":197.75,"preClose":197.89,"latestTime":"19:55 EDT","volume":5040,"amount":996962.5754,"timestamp":1743724522040},"delay":0,"floatShares":39069763,"shares":61764215,"eps":10.919456,"marketStatus":"未開盤","change":-38.46,"latestTime":"04-03 16:00:00 EDT","open":208.99,"high":212.855,"low":193,"amount":664615714.20752,"amplitude":0.084007,"askPrice":0,"askSize":0,"bidPrice":0,"bidSize":0,"shortable":0,"etf":0,"ttmEps":10.919456,"tradingStatus":0,"nextMarketStatus":{"tag":"盤前交易","tradingStatus":1,"beginTime":1743753600000},"marketStatusCode":0,"adr":0,"adrRate":0,"listingDate":866088000000,"exchange":"NYSE","adjPreClose":236.35,"dividendRate":0.016297,"preHourTrading":{"tag":"盘前","latestPrice":211.96,"preClose":236.35,"latestTime":"09:28 EDT","volume":4511,"amount":969323.09357,"timestamp":1743686936087},"postHourTrading":{"tag":"盘后","latestPrice":197.75,"preClose":197.89,"latestTime":"19:55 EDT","volume":5040,"amount":996962.5754,"timestamp":1743724522040},"volumeRatio":2.828236,"optionData":{"bulkOrders":[{"symbol":"RL","call":false,"expireDate":1750392000000,"strike":"195.0","timestamp":1743691963242,"price":15.6,"volume":1150,"amount":1794000,"type":"-"}]},"impliedVol":0.5428,"impliedVolPercentile":0.972},"@#url:\"https://hq.skytigris.cn/stock_info/fundamental/all\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"RL\",,,,,undefined,":{"symbol":"RL","floatShares":39069763,"roa":"7.93%","roe":"27.57%","lyrEps":9.912576,"volumeRatio":2.828236,"shares":61764215,"dividePrice":3.225,"high":212.855,"amplitude":0.084007,"preClose":236.35,"low":193,"week52Low":155.96,"pbRate":"4.81","psRate":"1.76","week52High":289.33,"institutionHeld":0.8155,"latestPrice":197.89,"eps":10.919456,"divideRate":0.016297,"volume":3346556,"delay":0,"ttmEps":10.919456,"open":208.99,"prevYearClose":230.98,"prevWeekClose":215.68,"prevMonthClose":220.74,"prevQuarterClose":220.74,"fiveDayClose":225.16,"twentyDayClose":238.34,"sixtyDayClose":242.96},"$inf$@#url:\"https://stock-news.skytigris.cn/v2/news/list\",params:#symbols:\"RL\",pageSize:20,pageCount:4,lang_content:\"cn\",edition:\"fundamental\",,,undefined,":[{"items":[{"id":"2506836063","title":"成本僅國外三十分之一，中國大模型已經追上美國了？","url":"https://stock-news.laohu8.com/highlight/detail?id=2506836063","media":"知识分子","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2506836063?lang=zh_tw&edition=fundamental","pubTime":"2025-01-26 08:13","pubTimestamp":1737850402,"startTime":"0","endTime":"0","summary":"来自中国的大模型成最大黑马，成本仅国外三十分之一，硅谷恐慌“Meta的生成式AI部门正处于恐慌中。这一切始于 Deepseek，它使得 Llama 4 在基准测试中已经落后。雪上加霜的是：那个不知名的中国公司，仅有 550 万美元的训练预算。工程师们正在疯狂地剖析 Deepseek，并试图从中复制一切可能的东西……”这一消息震动了全球AI圈。这个收费大约是 OpenAI o1运行成本的三十分之一。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://tech.ifeng.com/c/8gRycwpeCap","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":"fenghuang_stock","symbols":["BK4585","LU0006061336.USD","BK4214","BK4202","SFT","BK4588","RL"],"gpt_icon":0},{"id":"2506283841","title":"正對着中企狂抄？Meta被曝整個AI部門深陷恐慌","url":"https://stock-news.laohu8.com/highlight/detail?id=2506283841","media":"观察者网","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2506283841?lang=zh_tw&edition=fundamental","pubTime":"2025-01-25 11:21","pubTimestamp":1737775263,"startTime":"0","endTime":"0","summary":"1月23日，在美国匿名职场论坛TeamBlind上，一名Meta公司员工发布涉深度求索的帖子“Meta生成式人工智能部门陷入恐慌”，引起广泛讨论。最后，该员工反思称，Meta的生成式AI部门本应该是一个以工程为重点的小型组织，但因为很多人都想进来分一杯羹，人为膨胀了组织的规模，到最后人人都是输家。而谷歌公司的一名员工也评论称，深度求索很疯狂，不仅仅是Meta，面对这家中国公司时，OpenAI以及谷歌/Anthropic目前同样是“火烧屁股”。","market":"hk","thumbnail":"http://imgcloud.jrjimg.cn/2025/01/weixin/one_20250125112120713.jpg","type":0,"news_type":0,"thumbnails":["http://imgcloud.jrjimg.cn/2025/01/weixin/one_20250125112120713.jpg"],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://usstock.jrj.com.cn/2025/01/25112147817113.shtml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"jinrongjie_highlight","symbols":["LU1035773651.USD","SG9999014914.USD","LU0466842654.USD","LU2237443549.SGD","USJW.SI","LU0127658192.USD","LU0068578508.USD","LU1280957306.USD","LU0053666078.USD","LU2265009873.SGD","LU2108987350.USD","SG9999014906.USD","BK4533","LU1069344957.HKD","LU0238689110.USD","LU1571399168.USD","BK4585","BK4553","LU2286300806.USD","IE00BYQQ9H92.USD","BK4077","GOOG","BK4548","SG9999002224.SGD","SGXZ31699556.SGD","IE00B5TLWC47.USD","LU0985489474.SGD","LU0640476718.USD","LU0788109477.HKD","LU1934455194.USD","LU2461242641.AUD","LU2237443382.USD","LU2087621335.USD","LU2458330243.SGD","RL","LU1934455277.USD","SG9999014880.SGD","LU1934455863.HKD","SFT","LU2602419157.SGD","LU0642271901.SGD","LU2463028550.USD","IE00B4JS1V06.HKD","LU2237443895.HKD","LU0348723411.USD","LU2764263039.SGD","BK4527","LU2458330169.SGD","BK4507","BK4525"],"gpt_icon":1},{"id":"2505388321","title":"中國AI太強，Meta工程師嚇瘋？自曝瘋狂熬夜複製DeepSeek，天價高管心虛了","url":"https://stock-news.laohu8.com/highlight/detail?id=2505388321","media":"新智元","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2505388321?lang=zh_tw&edition=fundamental","pubTime":"2025-01-24 14:17","pubTimestamp":1737699474,"startTime":"0","endTime":"0","summary":"不仅工程师争分夺秒复现模型，年薪超过DeepSeek训练成本的高管们，心底也有点虚。根据内部Meta内部人士爆料，DeepSeek去年的V3，已经给他们压力了。现在，Meta的工程师正在抓紧一切时间，争分夺秒地分析DeepSeek，试图复制其中一切可能的技术。Meta工程师吓疯了TeamBlind上的帖子，全文曝料如下：一切源于DeepSeek V3的出现，它在基准测试中已经让Llama 4相形见绌。DeepSeek R1的出现让情况更加严峻。有网友认为，在这次AI浪潮中，Meta的确落后了。","market":"sh","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://tech.ifeng.com/c/8gP7CDFuaxD","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":"fenghuang_stock","symbols":["BK4202","LU0006061336.USD","BK4585","BK4214","SFT","BK4588","RL"],"gpt_icon":0},{"id":"2505888036","title":"炸場硅谷，大模型“蒸汽機”迎來“瓦特時刻”","url":"https://stock-news.laohu8.com/highlight/detail?id=2505888036","media":"响铃说","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2505888036?lang=zh_tw&edition=fundamental","pubTime":"2025-01-23 10:46","pubTimestamp":1737600382,"startTime":"0","endTime":"0","summary":"表面上，是中国大模型某种程度上又一次在技术能力上直起了腰，而全球AI从业者的“围观”，本质上则透露出业界对大模型这台“蒸汽机”能够尽快出现属于自己的“瓦特”的期许。01大模型这台蒸汽机，急需要一个“瓦特”大模型对时代的意义，不亚于蒸汽机之于工业革命。相信，大模型的“瓦特时刻”，同样会是中国大模型赢得话语权的时刻。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://tech.ifeng.com/c/8gNDDbjQXiN","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"fenghuang_stock","symbols":["BK4588","BK4202","BK4585","RL","LU0006061336.USD"],"gpt_icon":0},{"id":"2505729278","title":"拉夫勞倫任命首席運營官","url":"https://stock-news.laohu8.com/highlight/detail?id=2505729278","media":"北京商报","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2505729278?lang=zh_tw&edition=fundamental","pubTime":"2025-01-22 22:55","pubTimestamp":1737557747,"startTime":"0","endTime":"0","summary":"北京商报讯（记者蔺雨葳）1月22日，据美国时装品牌拉夫劳伦RalphLauren发布的公告，已任命RobertRanftl为首席运营官，自3月30日起生效。BobRanftl于2015年加入拉夫劳伦，目前担任北美区域首席执行官。效力RalphLauren公司期间，BobRanftl历任过多个领导职务，包括北美、亚太、欧洲、中东和非洲地区的首席运营官。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"stock_eastmoney","url":"http://finance.eastmoney.com/a/202501223305150648.html","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://finance.eastmoney.com/a/202501223305150648.html","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":"stock_eastmoney","symbols":["RL","BK4202","BK4585","LU0006061336.USD","BK4588"],"gpt_icon":0},{"id":"2505141728","title":"中國AI雙子星，在硅谷教OpenAI做事？","url":"https://stock-news.laohu8.com/highlight/detail?id=2505141728","media":"光子星球","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2505141728?lang=zh_tw&edition=fundamental","pubTime":"2025-01-22 21:50","pubTimestamp":1737553840,"startTime":"0","endTime":"0","summary":"国内大模型圈迎来神仙打架，OpenAI一觉醒来惊呼变了天？两款推理模型，全面对标OpenAI o1，在多项基准测试中获得了打平和超越o1的好成绩。AI世界正在发生一些变化，DeepSeek-R1和Kimi k1.5验证了强化学习思路的可行性，开始挑战OpenAI的绝对领先地位。DeepSeek和Kimi模型在数学水平上均超过了OpenAI，编程水平接近o1水准。这应该是全球范围内，OpenAI之外的公司首次实现o1正式版的多模态推理性能。中国“双子星”终结OpenAI神话？中国“双子星”打开了OpenAI的黑箱。OpenAI应该反思，在投入","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://tech.ifeng.com/c/8gMJg5KIILZ","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":"fenghuang_stock","symbols":["BK4202","RL","BK4588","BK4585","LU0006061336.USD"],"gpt_icon":0},{"id":"2505776747","title":"人事四則｜Ralph Lauren 任命COO，Birkenstock任命CFO，Mytheresa、Flos B&B高層變動","url":"https://stock-news.laohu8.com/highlight/detail?id=2505776747","media":"华丽志","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2505776747?lang=zh_tw&edition=fundamental","pubTime":"2025-01-22 21:05","pubTimestamp":1737551148,"startTime":"0","endTime":"0","summary":"Ralph Lauren日前，美国时尚奢侈品集团Ralph Lauren Corporation宣布，自2015年以来一直担任北美地区首席执行官的Bob Ranftl将接替 Jane Nielsen 担任首席运营官，任命自3月30日生效。二人都将直接向 Ralph Lauren 公司总裁兼首席执行官Patrice Louvet汇报工作。根据公司新闻稿，2月20日，Ivica Krolo 与 Erik Massmann 将共同出席 Birkenstock 的2025财年第一季度业绩电话会议，联合发布截至2024年12月31日的财季业绩。Birkenstock 重申，其目标或宗旨未发生变化，并重申了此前发布的2025财年指引。Flos 于2018年并入了当时名为","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250123025334abb4da99&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250123025334abb4da99&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["LU1992135472.HKD","LU1992135399.USD","BK4588","GB00BDT5M118.USD","LU0006061336.USD","LU2211815571.USD","LU2272731600.USD","LU2272731782.SGD","BK4585","COO","BK4202","BK4198","RL"],"gpt_icon":0},{"id":"2505305718","title":"拉夫勞倫：任命新首席運營官 3 月生效","url":"https://stock-news.laohu8.com/highlight/detail?id=2505305718","media":"和讯网","labels":["executive"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2505305718?lang=zh_tw&edition=fundamental","pubTime":"2025-01-22 16:53","pubTimestamp":1737535993,"startTime":"0","endTime":"0","summary":"【1 月 22 日，美国时装品牌拉夫劳伦宣布重大人事任命！】拉夫劳伦于周二表示，已任命 Robert Ranftl 为首席运营官，自 3 月 30 日起生效。Ranftl 于 2015 年加入拉夫劳伦，目前担任北美区域，任职期间监督了关键城市的战略扩张以及加拿大市场的直接触达消费者业务。本文由 AI 算法生成，仅作参考，不涉投资建议，使用风险自担","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250122170036abb4478a&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250122170036abb4478a&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"executive","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["BK4588","RL","BK4585","LU0006061336.USD","BK4202"],"gpt_icon":0},{"id":"2505713885","title":"拉夫勞倫：任命Robert Ranftl擔任首席運營官職務","url":"https://stock-news.laohu8.com/highlight/detail?id=2505713885","media":"财经网","labels":["executive"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2505713885?lang=zh_tw&edition=fundamental","pubTime":"2025-01-22 16:50","pubTimestamp":1737535800,"startTime":"0","endTime":"0","summary":"据美国时装品牌拉夫劳伦(RALPH LAUREN)最新发布的公告，已任命Robert Ranftl为首席运营官，自3月30日起生效。Ranftl于2015年加入拉夫劳伦，目前担任北美区域首席执行官。在任职期间，他监督了关键城市的战略扩张以及加拿大市场的直接触达消费者业务。（拉夫劳伦）\n\n\n海量资讯、精准解读，尽在新浪财经APP","market":"other","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"sina","url":"https://finance.sina.com.cn/jjxw/2025-01-22/doc-inefvuvx6982928.shtml","rn_cache_url":null,"customStyle":"body{padding-top:10px;}.art_tit_h1{#titleStyle#}a{#lv2TextColor#}.art_time, .art_cite{#sourceStyle#;} .art_cite{margin-left: 3px;}","selectors":".module-article, article","filters":"header, .voice2, .tags, #norm_qrcode_link_auto, .unfold-box, .action","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/jjxw/2025-01-22/doc-inefvuvx6982928.shtml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"executive","news_rank":0,"length":0,"strategy_id":0,"source":"sina","symbols":["BK4202","BK4588","LU0006061336.USD","BK4585","RL"],"gpt_icon":0},{"id":"2505798253","title":"拉夫勞倫任命北美區域CEO接任首席運營官一職","url":"https://stock-news.laohu8.com/highlight/detail?id=2505798253","media":"格隆汇","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2505798253?lang=zh_tw&edition=fundamental","pubTime":"2025-01-22 14:46","pubTimestamp":1737528373,"startTime":"0","endTime":"0","summary":"格隆汇1月22日｜美国时装品牌拉夫劳伦周二表示，已任命Robert Ranftl为首席运营官，自3月30日起生效。Ranftl于2015年加入拉夫劳伦，目前担任北美区域首席执行官。在任职期间，他监督了关键城市的战略扩张以及加拿大市场的直接触达消费者业务。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250122144620986f0098&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20250122144620986f0098&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["BK4585","BK4588","BK4202","RL","LU0006061336.USD"],"gpt_icon":0},{"id":"2505277094","title":"BUZZ-拉爾夫-勞倫任命內部人士鮑勃-蘭夫特爾為新任首席運營官；股價上漲","url":"https://stock-news.laohu8.com/highlight/detail?id=2505277094","media":"Reuters","labels":["executive"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2505277094?lang=zh_tw&edition=fundamental","pubTime":"2025-01-21 23:33","pubTimestamp":1737473616,"startTime":"0","endTime":"0","summary":"((自动化翻译由路透提供，请见免责声明 ))    1月21日 - ** 奢侈品服装制造商拉尔夫-劳伦公司  股价最高上涨 2.3%，报 246.01 美元** 公司将任命内部人士Bob Ranftl为首席运营官，接替即将离任的高管Jane Nielsen** Ranftl于2015年加入RL，目前担任北美地区执行总裁** 卡地亚前副首席商务官 Mercedes Abramo 将接替 Ranftl 担任 RL 北美地区首席执行官** 2024 年 RL 股价上涨 60.18","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.rkd.refinitiv.com/api/News/News.svc/REST/News_1/RetrieveStoryML_1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"executive","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4202","BK4588","LU0006061336.USD","BK4585","RL"],"gpt_icon":0},{"id":"2505257208","title":"Kimi硬剛多模態滿血版o1，首曝訓練細節！強化學習scaling新範式誕生","url":"https://stock-news.laohu8.com/highlight/detail?id=2505257208","media":"华尔街见闻","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2505257208?lang=zh_tw&edition=fundamental","pubTime":"2025-01-21 08:13","pubTimestamp":1737418407,"startTime":"0","endTime":"0","summary":"当前，基于下一个token预测的语言模型，在计算规模上的扩展，已经得到了有效证明。但模型Scaling仍受限于可用的数据量，为此，Kimi团队创新性地扩展了强化学习（RL）的应用，开辟出一条全新的路径。它能够让LLM通过奖励机制进行探索性学习，从而自主扩展训练数据，从而实现计算规模有效扩展。","market":"us","thumbnail":"https://wpimg-wscn.awtmt.com/3ad6739d-ad7d-49cd-b659-18f31bde5824.jpeg","type":0,"news_type":0,"thumbnails":["https://wpimg-wscn.awtmt.com/3ad6739d-ad7d-49cd-b659-18f31bde5824.jpeg"],"rights":{"source":"wallstreetcn_hot_news","url":"https://wallstreetcn.com/articles/3739619","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://wallstreetcn.com/articles/3739619","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":"wallstreetcn_hot_news","symbols":["BK4202","BK4588","LU0006061336.USD","BK4585","RL"],"gpt_icon":0},{"id":"2504828655","title":"太猛了！DeepSeek-R1 重磅來襲：比肩 o1且完全開源，API價格把o1打“骨折”","url":"https://stock-news.laohu8.com/highlight/detail?id=2504828655","media":"华尔街见闻","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2504828655?lang=zh_tw&edition=fundamental","pubTime":"2025-01-20 22:27","pubTimestamp":1737383241,"startTime":"0","endTime":"0","summary":"DeepSeek-R1已开放API访问，开发者可以通过设置model=deepseek-reasoner来使用。定价方面也相当亲民：价格直接把o1按在地上摩擦，缓存命中：$0.14/百万输入tokens，缓存未命中：$0.55/百万输入tokens，输出：$2.19 /百万输出tokens。","market":"hk","thumbnail":"https://wpimg-wscn.awtmt.com/b2ddeaaa-8a93-43c8-80dc-2b3ba0129d9a.jpeg","type":0,"news_type":0,"thumbnails":["https://wpimg-wscn.awtmt.com/b2ddeaaa-8a93-43c8-80dc-2b3ba0129d9a.jpeg"],"rights":{"source":"wallstreetcn_hot_news","url":"https://wallstreetcn.com/articles/3739600","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://wallstreetcn.com/articles/3739600","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"2","news_top_title":"太猛了！DeepSeek-R1 重磅来袭：比肩 o1且完全开源，API价格把o1打“骨折”","news_tag":"productRelease","news_rank":0,"length":0,"strategy_id":0,"source":"wallstreetcn_hot_news","symbols":["BK4202","LU0006061336.USD","BK4585","RL","BK4588"],"gpt_icon":0},{"id":"2504979806","title":"拉夫勞倫，接不住潑天流量","url":"https://stock-news.laohu8.com/highlight/detail?id=2504979806","media":"蓝鲸财经","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2504979806?lang=zh_tw&edition=fundamental","pubTime":"2025-01-17 09:21","pubTimestamp":1737076878,"startTime":"0","endTime":"0","summary":"拉夫劳伦，就是周鸿祎最爱的那件“红色战袍”品牌，陷入了流量怪圈。据新华报业网，网友在一买一退之间，活生生给拉夫劳伦凑出了16亿元交易额和95%的退货率，还顶着“双11最惨”名号在热搜上被挂了将近一天。但无论如何，拉夫劳伦的曝光度都是杠杠的。据新浪财经栏目《5D调查》报道，消费者李女士检测出，拉夫劳伦一款婴儿围嘴的荧光剂含量严重超标。拉夫劳伦官方客服则向媒体表示，所有商品各项检测均合格。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.lanjinger.com/d/249418","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":"lanjinger_stock","symbols":["BK4202","BK4588","BK4585","RL","LU0006061336.USD"],"gpt_icon":0},{"id":"2503375776","title":"拉夫勞倫390元嬰兒圍嘴被曝熒光劑超標，客服：所有商品都已經過質檢合格認證","url":"https://stock-news.laohu8.com/highlight/detail?id=2503375776","media":"5D调查","labels":["policyRegulatory"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2503375776?lang=zh_tw&edition=fundamental","pubTime":"2025-01-13 17:43","pubTimestamp":1736761380,"startTime":"0","endTime":"0","summary":"近日，《5D调查》在黑猫投诉 发现，有消费者投诉拉夫劳伦的婴儿围嘴商品荧光剂含量超标。　　沈阳李女士（化名）在天猫拉夫劳伦官方旗舰店买了一款婴儿围嘴，原价390元。　　对此，《5D调查》询问天猫拉夫劳伦官方旗舰店客服李女士所反映的情况是否属实，客服在收到问题20分钟后回复称，店铺商品都是经过质检合格认证的。","market":"fut","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/chanjing/wddc/2025-01-13/doc-ineevrat1956132.shtml","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":"sina","symbols":["LU0006061336.USD","RL","BK4202","BK4588","BK4585"],"gpt_icon":0},{"id":"2495618029","title":"Argus上調拉夫勞倫評級至“買入”","url":"https://stock-news.laohu8.com/highlight/detail?id=2495618029","media":"格隆汇资讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2495618029?lang=zh_tw&edition=fundamental","pubTime":"2024-12-31 22:10","pubTimestamp":1735654255,"startTime":"0","endTime":"0","summary":"Argus：将拉夫劳伦的评级从“持有”上调至“买入”，目标价定为250美元。(格隆汇)","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN2024123122105798568cd8&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, .wx-sou","directOrigin":true},"property":["rate"],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN2024123122105798568cd8&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["RL"],"gpt_icon":0},{"id":"2495459832","title":"靈初智能發佈首個端到端具身模型Psi R0","url":"https://stock-news.laohu8.com/highlight/detail?id=2495459832","media":"美港电讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2495459832?lang=zh_tw&edition=fundamental","pubTime":"2024-12-30 13:58","pubTimestamp":1735538299,"startTime":"0","endTime":"0","summary":null,"market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.ushknews.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":"live_meigang","symbols":["BK4588","RL","BK4585","LU0006061336.USD","BK4202"],"gpt_icon":0},{"id":"2495560602","title":"大模型“六小虎”的2024：大廠強勢，蹊徑難尋","url":"https://stock-news.laohu8.com/highlight/detail?id=2495560602","media":"华尔街见闻","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2495560602?lang=zh_tw&edition=fundamental","pubTime":"2024-12-30 13:38","pubTimestamp":1735537099,"startTime":"0","endTime":"0","summary":"大厂拥有初创公司无法拥有的福利，掠食To B、To C市场，初创企业赚钱业务寥寥、业务方向变得飘忽不定；与此同时，Scaling Law正在失效，Killer App未出现，技术急需新范式。分析认为，筛选人才和算力两个要素，2025年坚持训练底层大模型的国内公司，恐怕只会剩下四、五家。","market":"us","thumbnail":"https://wpimg-wscn.awtmt.com/2c2a8b7e-8ed1-48ca-819d-e43d9646a545.jpeg","type":0,"news_type":0,"thumbnails":["https://wpimg-wscn.awtmt.com/2c2a8b7e-8ed1-48ca-819d-e43d9646a545.jpeg"],"rights":{"source":"wallstreetcn_hot_news","url":"https://wallstreetcn.com/articles/3738017","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://wallstreetcn.com/articles/3738017","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":"wallstreetcn_hot_news","symbols":["BK4202","BK4585","RL","BK4588","LU0006061336.USD"],"gpt_icon":0},{"id":"2493201608","title":"標普估值高企，但這些股票仍然是市場的“隱藏寶石”","url":"https://stock-news.laohu8.com/highlight/detail?id=2493201608","media":"金融界","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2493201608?lang=zh_tw&edition=fundamental","pubTime":"2024-12-23 11:24","pubTimestamp":1734924242,"startTime":"0","endTime":"0","summary":"尽管标普500指数估值高企，但随着2025年的到来，股市中仍然存在值得关注的便宜股票。根据FactSet的数据，标普500指数基于未来12个月收益的市盈率目前为22.31，相比过去三年的平均动态市盈率19.15，显示出一定的溢价。今年，标普500指数上涨超过27%，预计将实现连续第二年超过20%的年回报率。该股在过去一个月上涨了约16%，但在2024年仍下跌了14%。","market":"us","thumbnail":"http://imgcloud.jrjimg.cn/2024/12/weixin/one_20241223112421886.png","type":0,"news_type":0,"thumbnails":["http://imgcloud.jrjimg.cn/2024/12/weixin/one_20241223112421886.png"],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://usstock.jrj.com.cn/2024/12/23112446687768.shtml","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":"jinrongjie_highlight","symbols":["SSO","OEF","LU1720051108.HKD","SPY","BK4534","BK4147","ENPH","BK4200","LU1548497426.USD","SH","SDS","IVV","LU0082616367.USD","LU2506951792.HKD","LU0823414551.USD",".SPX","RL","LU1720051017.SGD","LU2357125470.USD","LU0719512351.SGD","LU0823411888.USD","BK4585","LU2249611893.SGD","BK4588","WYNN","BK4202","LU0348723411.USD","LU2357305700.SGD","LU0823414478.USD","BK4596","OEX","BK4503","BK4504","LU1983299162.USD","UPRO","LU2294711713.HKD","SPXU","BK4581","BK4150","ULTA","LU0006061336.USD","BK4550","ESmain","BK4559"],"gpt_icon":0},{"id":"2493213081","title":"o3 沒有“刷榜”","url":"https://stock-news.laohu8.com/highlight/detail?id=2493213081","media":"华尔街见闻","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2493213081?lang=zh_tw&edition=fundamental","pubTime":"2024-12-22 15:03","pubTimestamp":1734850998,"startTime":"0","endTime":"0","summary":"OpenAI研究科学家Nat强调，为了排除训练数据泄露的可能性，OpenAI非常重视数据污染问题，并且在ARC和FrontierMath等没见过的数据集上验证了o3的性能，确保了结果的可靠性，o3没有刷榜。","market":"hk","thumbnail":"https://wpimg-wscn.awtmt.com/65adf7a4-7612-44b5-a3fd-e1a47fabecf4.png","type":0,"news_type":0,"thumbnails":["https://wpimg-wscn.awtmt.com/65adf7a4-7612-44b5-a3fd-e1a47fabecf4.png"],"rights":{"source":"wallstreetcn_hot_news","url":"https://wallstreetcn.com/articles/3737529","rn_cache_url":null,"directOrigin":true},"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://wallstreetcn.com/articles/3737529","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":"wallstreetcn_hot_news","symbols":["LU0006061336.USD","BK4202","RL","BK4588","BK4585"],"gpt_icon":0}],"pageSize":20,"totalPage":6,"pageCount":4,"totalSize":120}],"@#url:\"https://hq.skytigris.cn/fundamental/corporate_actions/details/RL\",params:#limit:5,,,undefined,":[{"date":"2025-03-28","symbol":"RL","amount":0.825,"announcedDate":"2025-03-14","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2025-03-28","defaultRemindTime":1743168600000,"name":"拉夫劳伦","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2025-04-11","payableDate":"2025-03-28","currency":"USD","dateTimestamp":1743134400000,"payDate":"2025-04-11"},{"market":"US","date":"2025-02-06","symbol":"RL","fiscalQuarterEnding":"2024/12","expectedEps":4.48,"name":null,"time":"盤前","type":"earning","dateTimestamp":1738818000000,"reportTimeType":"pre","actualEps":4.82},{"date":"2024-12-27","symbol":"RL","amount":0.825,"announcedDate":"2024-12-13","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2024-12-27","defaultRemindTime":1735309800000,"name":"拉夫劳伦","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2025-01-10","payableDate":"2024-12-27","currency":"USD","dateTimestamp":1735275600000,"payDate":"2025-01-10"},{"market":"US","date":"2024-11-07","symbol":"RL","fiscalQuarterEnding":"2024/09","expectedEps":2.43,"name":null,"time":"盤前","type":"earning","dateTimestamp":1730955600000,"reportTimeType":"pre","actualEps":2.54},{"date":"2024-09-27","symbol":"RL","amount":0.825,"announcedDate":"2024-09-13","type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2024-09-27","defaultRemindTime":1727443800000,"name":"拉夫劳伦","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2024-10-11","payableDate":"2024-09-27","currency":"USD","dateTimestamp":1727409600000,"payDate":"2024-10-11"}],"@#url:\"https://hq.skytigris.cn/fundamental/dividend/history\",params:#symbol:\"RL\",market:\"US\",,,undefined,":[{"executeDate":"2015-06-24","recordDate":"2015-06-26","paymentDate":"2015-07-10","value":0.5,"currency":"USD"},{"executeDate":"2015-09-23","recordDate":"2015-09-25","paymentDate":"2015-10-09","value":0.5,"currency":"USD"},{"executeDate":"2015-12-22","recordDate":"2015-12-24","paymentDate":"2016-01-08","value":0.5,"currency":"USD"},{"executeDate":"2016-03-30","recordDate":"2016-04-01","paymentDate":"2016-04-15","value":0.5,"currency":"USD"},{"executeDate":"2016-06-29","recordDate":"2016-07-01","paymentDate":"2016-07-15","value":0.5,"currency":"USD"}],"@#url:\"https://hq.skytigris.cn/fundamental/estimate/recommendation\",params:#symbol:\"RL\",market:\"US\",delay:false,,,undefined,":{"strongBuy":0.1579,"buy":0.5263,"hold":0.2105,"sell":0.1053,"strongSell":0,"meanLabel":"BUY","meanPercent":0.5263,"analysts":19,"updateTime":1742356800000},"@#url:\"https://hq.skytigris.cn/value_analysis/stock/RL\",params:#withQuantilePoint:true,period:\"5year\",factor:\"peRate\",delay:false,algorithm:1,,,undefined,":{"brief":{"id":"RL","date":"2025-04-02","current":20.066795,"percent":0.784728,"low":-102.461698,"twenty":10.756749,"median":15.235352,"eighty":20.417936,"high":55.67915,"avg":7.064135,"sd":31.771851,"marketCap":14139064097},"quantilePoints":[{"date":"2020-04-03","current":6.765421,"twenty":11.694147,"median":15.119823,"eighty":23.539833,"marketCap":4498328551},{"date":"2020-04-09","current":8.918156,"twenty":11.651402,"median":15.034572,"eighty":23.534837,"marketCap":5929681947},{"date":"2020-04-17","current":8.060833,"twenty":11.461082,"median":14.953482,"eighty":23.539833,"marketCap":5359647853},{"date":"2020-04-24","current":7.575054,"twenty":11.384995,"median":14.858184,"eighty":23.539833,"marketCap":5036653115},{"date":"2020-05-01","current":8.106305,"twenty":11.33403,"median":14.811293,"eighty":23.539833,"marketCap":5389882521},{"date":"2020-05-08","current":7.994288,"twenty":11.286807,"median":14.763749,"eighty":23.539833,"marketCap":5315401999},{"date":"2020-05-15","current":7.251201,"twenty":11.268752,"median":14.717547,"eighty":23.539833,"marketCap":4821323289},{"date":"2020-05-22","current":8.078578,"twenty":11.243587,"median":14.612456,"eighty":23.539833,"marketCap":5371446748},{"date":"2020-05-29","current":14.276462,"twenty":11.236909,"median":14.515478,"eighty":23.539833,"marketCap":5486444165},{"date":"2020-06-05","current":16.934746,"twenty":11.236909,"median":14.503696,"eighty":23.539833,"marketCap":6508022830},{"date":"2020-06-12","current":14.136552,"twenty":11.236909,"median":14.496713,"eighty":23.539833,"marketCap":5432676867},{"date":"2020-06-19","current":13.497499,"twenty":11.236909,"median":14.406087,"eighty":23.539833,"marketCap":5187088958},{"date":"2020-06-26","current":12.799842,"twenty":11.236909,"median":14.249045,"eighty":23.539833,"marketCap":4918979163},{"date":"2020-07-02","current":13.376496,"twenty":11.236909,"median":14.148764,"eighty":23.539833,"marketCap":5140587530},{"date":"2020-07-10","current":13.041848,"twenty":11.236909,"median":14.11264,"eighty":23.539833,"marketCap":5011982019},{"date":"2020-07-17","current":13.860508,"twenty":11.236909,"median":14.091326,"eighty":23.539833,"marketCap":5326593242},{"date":"2020-07-24","current":13.508843,"twenty":11.236909,"median":14.057603,"eighty":23.539833,"marketCap":5191448467},{"date":"2020-07-31","current":13.480483,"twenty":11.236909,"median":14.020397,"eighty":23.539833,"marketCap":5180549695},{"date":"2020-08-07","current":34.537829,"twenty":11.236909,"median":14.027886,"eighty":23.637663,"marketCap":4818027158},{"date":"2020-08-14","current":36.998833,"twenty":11.236909,"median":14.058619,"eighty":23.766592,"marketCap":5161337159},{"date":"2020-08-21","current":35.108572,"twenty":11.236909,"median":14.102054,"eighty":23.879275,"marketCap":4897645861},{"date":"2020-08-28","current":37.27635,"twenty":11.236909,"median":14.138526,"eighty":24.085248,"marketCap":5200050840},{"date":"2020-09-04","current":38.773897,"twenty":11.236909,"median":14.236135,"eighty":33.926208,"marketCap":5408958628},{"date":"2020-09-11","current":39.87873,"twenty":11.236909,"median":14.351969,"eighty":34.208445,"marketCap":5563082904},{"date":"2020-09-18","current":39.705937,"twenty":11.236909,"median":14.54394,"eighty":34.600222,"marketCap":5538978160},{"date":"2020-09-25","current":37.213516,"twenty":11.236909,"median":14.712353,"eighty":35.238574,"marketCap":5191285478},{"date":"2020-10-02","current":36.616592,"twenty":11.236909,"median":14.797673,"eighty":35.417101,"marketCap":5108014542},{"date":"2020-10-09","current":38.690118,"twenty":11.236909,"median":14.856041,"eighty":35.582655,"marketCap":5397271479},{"date":"2020-10-16","current":39.161374,"twenty":11.236909,"median":15.022091,"eighty":35.868865,"marketCap":5463011691},{"date":"2020-10-23","current":40.52278,"twenty":11.236909,"median":15.19388,"eighty":35.964952,"marketCap":5652927862},{"date":"2020-10-30","current":-59.767894,"twenty":11.210148,"median":15.27232,"eighty":36.065975,"marketCap":4883036924},{"date":"2020-11-06","current":-61.051102,"twenty":11.177196,"median":15.27232,"eighty":36.065975,"marketCap":4987875003},{"date":"2020-11-13","current":-69.444174,"twenty":11.16007,"median":15.263875,"eighty":36.065975,"marketCap":5673589022},{"date":"2020-11-20","current":-69.989992,"twenty":11.092438,"median":15.263875,"eighty":36.065975,"marketCap":5718182364},{"date":"2020-11-27","current":-78.723083,"twenty":11.063051,"median":15.263875,"eighty":36.065975,"marketCap":6431675843},{"date":"2020-12-04","current":-86.087154,"twenty":11.017362,"median":15.263875,"eighty":36.065975,"marketCap":7033320446},{"date":"2020-12-11","current":-90.677395,"twenty":10.954142,"median":15.263875,"eighty":36.065975,"marketCap":7408343145},{"date":"2020-12-18","current":-90.561073,"twenty":10.92353,"median":15.263875,"eighty":36.065975,"marketCap":7398839646},{"date":"2020-12-24","current":-90.301585,"twenty":10.9095,"median":15.263875,"eighty":36.065975,"marketCap":7377639532},{"date":"2020-12-31","current":-92.824876,"twenty":10.891114,"median":15.263875,"eighty":36.065975,"marketCap":7583792361},{"date":"2021-01-08","current":-97.960935,"twenty":10.863071,"median":15.263875,"eighty":36.065975,"marketCap":8003408403},{"date":"2021-01-15","current":-98.488858,"twenty":10.812929,"median":15.263875,"eighty":36.065975,"marketCap":8046539668},{"date":"2021-01-22","current":-97.057203,"twenty":10.785148,"median":15.263875,"eighty":36.065975,"marketCap":7929573524},{"date":"2021-01-29","current":-90.417907,"twenty":10.720139,"median":15.263875,"eighty":36.065975,"marketCap":7387143032},{"date":"2021-02-05","current":-26.801833,"twenty":10.668166,"median":15.263875,"eighty":36.065975,"marketCap":7933342711},{"date":"2021-02-12","current":-27.345281,"twenty":10.668166,"median":15.263875,"eighty":36.065975,"marketCap":8094203116},{"date":"2021-02-19","current":-28.02706,"twenty":10.668166,"median":15.263875,"eighty":36.065975,"marketCap":8296009806},{"date":"2021-02-26","current":-28.921278,"twenty":10.668166,"median":15.263875,"eighty":36.065975,"marketCap":8560698291},{"date":"2021-03-05","current":-30.186028,"twenty":10.648886,"median":15.271921,"eighty":36.091338,"marketCap":8935064325},{"date":"2021-03-12","current":-30.625726,"twenty":10.616213,"median":15.271921,"eighty":36.091338,"marketCap":9065215016},{"date":"2021-03-19","current":-30.074868,"twenty":10.503024,"median":15.271921,"eighty":36.091338,"marketCap":8902161060},{"date":"2021-03-26","current":-30.176147,"twenty":10.390607,"median":15.263875,"eighty":36.065975,"marketCap":8932139590},{"date":"2021-04-01","current":-29.62776,"twenty":10.338984,"median":15.263875,"eighty":36.065975,"marketCap":8769816818},{"date":"2021-04-09","current":-31.505123,"twenty":10.180448,"median":15.271921,"eighty":36.091338,"marketCap":9325516399},{"date":"2021-04-16","current":-30.768999,"twenty":10.063232,"median":15.271921,"eighty":36.091338,"marketCap":9107623668},{"date":"2021-04-23","current":-30.996259,"twenty":9.87646,"median":15.271921,"eighty":36.091338,"marketCap":9174892565},{"date":"2021-04-30","current":-32.925497,"twenty":8.955421,"median":15.271921,"eighty":36.091338,"marketCap":9745947004},{"date":"2021-05-07","current":-34.494083,"twenty":8.438366,"median":15.271921,"eighty":36.091338,"marketCap":10210248628},{"date":"2021-05-14","current":-33.713495,"twenty":8.183497,"median":15.271921,"eighty":36.091338,"marketCap":9979194591},{"date":"2021-05-21","current":-73.125273,"twenty":8.07148,"median":15.271921,"eighty":36.091338,"marketCap":8855470570},{"date":"2021-05-28","current":-74.93091,"twenty":7.932179,"median":15.271921,"eighty":36.091338,"marketCap":9074133192},{"date":"2021-06-04","current":-72.932028,"twenty":7.826594,"median":15.271921,"eighty":36.091338,"marketCap":8832068550},{"date":"2021-06-11","current":-74.115656,"twenty":7.712137,"median":15.271921,"eighty":36.091338,"marketCap":8975405921},{"date":"2021-06-18","current":-68.87026,"twenty":7.604777,"median":15.271921,"eighty":36.091338,"marketCap":8340188542},{"date":"2021-06-25","current":-73.543339,"twenty":7.425327,"median":15.271921,"eighty":36.091338,"marketCap":8906098409},{"date":"2021-07-02","current":-71.485971,"twenty":7.278484,"median":15.271921,"eighty":36.091338,"marketCap":8656951078},{"date":"2021-07-09","current":-70.642389,"twenty":7.010973,"median":15.271921,"eighty":36.091338,"marketCap":8554793323},{"date":"2021-07-16","current":-65.957172,"twenty":-27.294888,"median":15.271921,"eighty":36.091338,"marketCap":7987413559},{"date":"2021-07-23","current":-66.752203,"twenty":-27.832407,"median":15.271921,"eighty":36.091338,"marketCap":8083691732},{"date":"2021-07-30","current":-68.894536,"twenty":-28.926218,"median":15.271921,"eighty":36.091338,"marketCap":8343128333},{"date":"2021-08-06","current":52.842625,"twenty":-28.958331,"median":15.293029,"eighty":36.205347,"marketCap":9051941605},{"date":"2021-08-13","current":53.40478,"twenty":-28.958331,"median":15.453101,"eighty":36.515636,"marketCap":9148238856},{"date":"2021-08-20","current":49.894526,"twenty":-28.958331,"median":15.63625,"eighty":36.738071,"marketCap":8546932357},{"date":"2021-08-27","current":50.769944,"twenty":-28.958331,"median":15.827775,"eighty":36.92591,"marketCap":8696891435},{"date":"2021-09-03","current":49.276584,"twenty":-28.958331,"median":15.907804,"eighty":37.158684,"marketCap":8441078890},{"date":"2021-09-10","current":48.332506,"twenty":-28.958331,"median":16.086353,"eighty":37.313562,"marketCap":8279358315},{"date":"2021-09-17","current":48.508448,"twenty":-28.958331,"median":16.161461,"eighty":37.519535,"marketCap":8309497150},{"date":"2021-09-24","current":49.980352,"twenty":-28.958331,"median":16.288642,"eighty":37.639741,"marketCap":8561634227},{"date":"2021-10-01","current":49.259419,"twenty":-28.958331,"median":16.376453,"eighty":38.034534,"marketCap":8438138516},{"date":"2021-10-08","current":48.598565,"twenty":-28.958331,"median":16.485653,"eighty":38.401979,"marketCap":8324934114},{"date":"2021-10-15","current":50.975925,"twenty":-28.958331,"median":16.580641,"eighty":38.677805,"marketCap":8732175924},{"date":"2021-10-22","current":52.838333,"twenty":-28.958331,"median":16.705533,"eighty":38.794842,"marketCap":9051206511},{"date":"2021-10-29","current":54.572004,"twenty":-28.958331,"median":16.839219,"eighty":38.99617,"marketCap":9348184293},{"date":"2021-11-05","current":23.257659,"twenty":-28.958331,"median":16.969387,"eighty":39.048208,"marketCap":9389116898},{"date":"2021-11-12","current":22.778063,"twenty":-28.958331,"median":17.083725,"eighty":39.048208,"marketCap":9195504091},{"date":"2021-11-19","current":22.21276,"twenty":-28.958331,"median":17.333507,"eighty":39.048208,"marketCap":8967291276},{"date":"2021-11-26","current":21.231686,"twenty":-28.958331,"median":17.377483,"eighty":39.048208,"marketCap":8571231617},{"date":"2021-12-03","current":21.184273,"twenty":-28.958331,"median":17.653651,"eighty":39.048208,"marketCap":8552091188},{"date":"2021-12-10","current":22.411528,"twenty":-28.958331,"median":17.766916,"eighty":39.048208,"marketCap":9047533847},{"date":"2021-12-17","current":20.980035,"twenty":-28.958331,"median":17.990368,"eighty":39.048208,"marketCap":8469640106},{"date":"2021-12-23","current":20.44938,"twenty":-28.958331,"median":18.284993,"eighty":39.048208,"marketCap":8255414529},{"date":"2021-12-31","current":21.674811,"twenty":-28.958331,"median":18.476997,"eighty":39.048208,"marketCap":8750121017},{"date":"2022-01-07","current":21.528926,"twenty":-28.94598,"median":18.67231,"eighty":39.023955,"marketCap":8691227388},{"date":"2022-01-14","current":20.94174,"twenty":-28.94598,"median":18.774932,"eighty":39.023955,"marketCap":8454180529},{"date":"2022-01-21","current":19.785604,"twenty":-28.94598,"median":18.870106,"eighty":39.023955,"marketCap":7987448514},{"date":"2022-01-28","current":19.929666,"twenty":-28.94598,"median":19.181497,"eighty":39.023955,"marketCap":8045605973},{"date":"2022-02-04","current":16.831289,"twenty":-28.94598,"median":19.251729,"eighty":39.023955,"marketCap":8442574545},{"date":"2022-02-11","current":17.272537,"twenty":-28.94598,"median":19.251729,"eighty":39.023955,"marketCap":8663904788},{"date":"2022-02-18","current":17.959239,"twenty":-28.94598,"median":19.251729,"eighty":39.023955,"marketCap":9008354428},{"date":"2022-02-25","current":19.0276,"twenty":-28.94598,"median":19.251729,"eighty":39.023955,"marketCap":9544244054},{"date":"2022-03-04","current":16.465237,"twenty":-28.94598,"median":19.251729,"eighty":39.023955,"marketCap":8258962960},{"date":"2022-03-11","current":15.257834,"twenty":-28.94598,"median":19.251729,"eighty":39.023955,"marketCap":7653329398},{"date":"2022-03-18","current":17.224298,"twenty":-28.94598,"median":19.251729,"eighty":39.023955,"marketCap":8639707913},{"date":"2022-03-25","current":16.662451,"twenty":-28.94598,"median":19.251729,"eighty":39.023955,"marketCap":8357885480},{"date":"2022-04-01","current":15.890621,"twenty":-28.94598,"median":19.251729,"eighty":39.023955,"marketCap":7970735472},{"date":"2022-04-08","current":14.984004,"twenty":-28.94598,"median":19.251729,"eighty":39.023955,"marketCap":7515976546},{"date":"2022-04-14","current":15.396877,"twenty":-28.94598,"median":19.251729,"eighty":39.023955,"marketCap":7723073334},{"date":"2022-04-22","current":15.500449,"twenty":-28.94598,"median":19.251729,"eighty":39.023955,"marketCap":7775025449},{"date":"2022-04-29","current":14.803816,"twenty":-28.94598,"median":19.251729,"eighty":39.023955,"marketCap":7425594099},{"date":"2022-05-06","current":13.980909,"twenty":-28.94598,"median":19.251729,"eighty":39.023955,"marketCap":7012823869},{"date":"2022-05-13","current":14.178123,"twenty":-28.94598,"median":19.251729,"eighty":39.023955,"marketCap":7111746390},{"date":"2022-05-20","current":13.228942,"twenty":-28.94598,"median":19.251729,"eighty":39.023955,"marketCap":6635637280},{"date":"2022-05-27","current":11.545331,"twenty":-28.94598,"median":19.251729,"eighty":39.023955,"marketCap":6928352919},{"date":"2022-06-03","current":12.283335,"twenty":-28.94598,"median":19.251729,"eighty":39.023955,"marketCap":7371229327},{"date":"2022-06-10","current":11.652762,"twenty":-28.94598,"median":19.251729,"eighty":39.023955,"marketCap":6992822269},{"date":"2022-06-17","current":10.475691,"twenty":-28.94598,"median":19.251729,"eighty":39.023955,"marketCap":6286462429},{"date":"2022-06-24","current":11.192261,"twenty":-28.958331,"median":19.26176,"eighty":39.048208,"marketCap":6716475735},{"date":"2022-07-01","current":10.535942,"twenty":-28.958331,"median":19.26176,"eighty":39.048208,"marketCap":6322619088},{"date":"2022-07-08","current":10.826349,"twenty":-28.958331,"median":19.26176,"eighty":39.048208,"marketCap":6496891941},{"date":"2022-07-15","current":10.804278,"twenty":-28.958331,"median":19.26176,"eighty":39.048208,"marketCap":6483647204},{"date":"2022-07-22","current":11.260797,"twenty":-28.958331,"median":19.26176,"eighty":39.048208,"marketCap":6757604128},{"date":"2022-07-29","current":11.457111,"twenty":-28.958331,"median":19.26176,"eighty":39.048208,"marketCap":6875412576},{"date":"2022-08-05","current":11.64181,"twenty":-28.958331,"median":19.26176,"eighty":39.048208,"marketCap":6986250111},{"date":"2022-08-12","current":11.988696,"twenty":-28.958331,"median":19.238389,"eighty":39.048208,"marketCap":6699283476},{"date":"2022-08-19","current":11.894087,"twenty":-28.958331,"median":19.030114,"eighty":39.048208,"marketCap":6646415800},{"date":"2022-08-26","current":11.413763,"twenty":-28.958331,"median":18.831209,"eighty":39.048208,"marketCap":6378010675},{"date":"2022-09-02","current":10.91767,"twenty":-28.958331,"median":18.735208,"eighty":39.048208,"marketCap":6100794270},{"date":"2022-09-09","current":11.70972,"twenty":-28.958331,"median":18.639206,"eighty":39.048208,"marketCap":6543391610},{"date":"2022-09-16","current":11.339774,"twenty":-28.958331,"median":18.437272,"eighty":39.048208,"marketCap":6336665441},{"date":"2022-09-23","current":10.362144,"twenty":-28.958331,"median":18.316442,"eighty":39.048208,"marketCap":5790366120},{"date":"2022-09-30","current":10.301497,"twenty":-28.958331,"median":18.144421,"eighty":39.048208,"marketCap":5756476584},{"date":"2022-10-07","current":11.008641,"twenty":-28.958331,"median":17.987867,"eighty":39.048208,"marketCap":6151628574},{"date":"2022-10-14","current":11.224544,"twenty":-28.958331,"median":17.818778,"eighty":39.048208,"marketCap":6272275322},{"date":"2022-10-21","current":11.002576,"twenty":-28.958331,"median":17.692504,"eighty":39.048208,"marketCap":6148239621},{"date":"2022-10-28","current":11.314302,"twenty":-28.958331,"median":17.653651,"eighty":39.048208,"marketCap":6322431836},{"date":"2022-11-04","current":11.530205,"twenty":-28.958331,"median":17.393314,"eighty":39.048208,"marketCap":6443078584},{"date":"2022-11-11","current":13.345366,"twenty":-28.958331,"median":17.344061,"eighty":39.048208,"marketCap":6886208610},{"date":"2022-11-18","current":13.152306,"twenty":-28.958331,"median":17.189267,"eighty":39.048208,"marketCap":6786590149},{"date":"2022-11-25","current":13.996141,"twenty":-28.958331,"median":17.065202,"eighty":39.048208,"marketCap":7222008589},{"date":"2022-12-02","current":14.774769,"twenty":-28.958331,"median":16.969387,"eighty":38.911085,"marketCap":7623781059},{"date":"2022-12-09","current":13.745547,"twenty":-28.958331,"median":16.899392,"eighty":38.70867,"marketCap":7092702507},{"date":"2022-12-16","current":13.447648,"twenty":-28.958331,"median":16.831289,"eighty":38.518371,"marketCap":6938986603},{"date":"2022-12-23","current":13.342808,"twenty":-28.958331,"median":16.705533,"eighty":38.032396,"marketCap":6884889160},{"date":"2022-12-30","current":13.510297,"twenty":-28.958331,"median":16.63975,"eighty":37.639741,"marketCap":6971313123},{"date":"2023-01-06","current":14.827189,"twenty":-28.958331,"median":16.577123,"eighty":37.523202,"marketCap":7650829781},{"date":"2023-01-13","current":15.190294,"twenty":-28.958331,"median":16.465237,"eighty":37.313562,"marketCap":7838191655},{"date":"2023-01-20","current":15.476686,"twenty":-28.958331,"median":16.370177,"eighty":37.133527,"marketCap":7985970035},{"date":"2023-01-27","current":15.702987,"twenty":-28.958331,"median":16.262256,"eighty":36.84458,"marketCap":8102741344},{"date":"2023-02-03","current":16.095498,"twenty":-28.458854,"median":16.220794,"eighty":36.738071,"marketCap":8305276891},{"date":"2023-02-10","current":15.150392,"twenty":-27.648129,"median":16.220794,"eighty":36.738071,"marketCap":7799421918},{"date":"2023-02-17","current":15.734825,"twenty":-27.239061,"median":16.220794,"eighty":36.738071,"marketCap":8100287868},{"date":"2023-02-24","current":15.245234,"twenty":7.010973,"median":16.220794,"eighty":36.738071,"marketCap":7848246656},{"date":"2023-03-03","current":15.237544,"twenty":7.29756,"median":16.220794,"eighty":36.738071,"marketCap":7844287893},{"date":"2023-03-10","current":14.524947,"twenty":7.498083,"median":16.220794,"eighty":36.738071,"marketCap":7477442568},{"date":"2023-03-17","current":14.216069,"twenty":7.631617,"median":16.220794,"eighty":36.738071,"marketCap":7318432275},{"date":"2023-03-24","current":14.237857,"twenty":7.717017,"median":16.220794,"eighty":36.738071,"marketCap":7329648768},{"date":"2023-03-31","current":14.953018,"twenty":7.828369,"median":16.214613,"eighty":36.729693,"marketCap":7697813681},{"date":"2023-04-06","current":14.590311,"twenty":7.936616,"median":16.214613,"eighty":36.729693,"marketCap":7511092050},{"date":"2023-04-14","current":15.377244,"twenty":8.095214,"median":16.220794,"eighty":36.738071,"marketCap":7916205412},{"date":"2023-04-21","current":14.837669,"twenty":8.21921,"median":16.220794,"eighty":36.738071,"marketCap":7638432243},{"date":"2023-04-28","current":14.705659,"twenty":8.46942,"median":16.220794,"eighty":36.738071,"marketCap":7570473487},{"date":"2023-05-05","current":14.077651,"twenty":9.006883,"median":16.220794,"eighty":36.738071,"marketCap":7247174550},{"date":"2023-05-12","current":14.222477,"twenty":10.254435,"median":16.220794,"eighty":36.738071,"marketCap":7321731243},{"date":"2023-05-19","current":14.454456,"twenty":10.469125,"median":16.220794,"eighty":36.738071,"marketCap":7441153912},{"date":"2023-05-26","current":14.389992,"twenty":10.532246,"median":16.174382,"eighty":36.578892,"marketCap":7521648750},{"date":"2023-06-02","current":13.274896,"twenty":10.532246,"median":16.105702,"eighty":36.3012,"marketCap":6938788123},{"date":"2023-06-09","current":14.731393,"twenty":10.532246,"median":16.055584,"eighty":36.013281,"marketCap":7700099216},{"date":"2023-06-16","current":15.199374,"twenty":10.532246,"median":15.880546,"eighty":35.869912,"marketCap":7944712917},{"date":"2023-06-23","current":15.331039,"twenty":10.530768,"median":15.831226,"eighty":35.555144,"marketCap":8013533827},{"date":"2023-06-30","current":15.372244,"twenty":10.529289,"median":15.739824,"eighty":35.406629,"marketCap":8035072076},{"date":"2023-07-07","current":15.444666,"twenty":10.529289,"median":15.651518,"eighty":35.253091,"marketCap":8072927179},{"date":"2023-07-14","current":15.818016,"twenty":10.529289,"median":15.636503,"eighty":34.787401,"marketCap":8268076765},{"date":"2023-07-21","current":15.884195,"twenty":10.529289,"median":15.636503,"eighty":34.265035,"marketCap":8302668498},{"date":"2023-07-28","current":15.791794,"twenty":10.529289,"median":15.636503,"eighty":33.826465,"marketCap":8254370607},{"date":"2023-08-04","current":16.508524,"twenty":10.529289,"median":15.636503,"eighty":23.565529,"marketCap":8629005598},{"date":"2023-08-11","current":15.021503,"twenty":10.529289,"median":15.580248,"eighty":23.505216,"marketCap":7982426462},{"date":"2023-08-18","current":14.336139,"twenty":10.527811,"median":15.479866,"eighty":23.331412,"marketCap":7618224175},{"date":"2023-08-25","current":13.816589,"twenty":10.527811,"median":15.457499,"eighty":23.140478,"marketCap":7342135345},{"date":"2023-09-01","current":14.325085,"twenty":10.527811,"median":15.436061,"eighty":23.017353,"marketCap":7612349945},{"date":"2023-09-08","current":14.283324,"twenty":10.527811,"median":15.413623,"eighty":22.879952,"marketCap":7590158407},{"date":"2023-09-15","current":14.129793,"twenty":10.527811,"median":15.374744,"eighty":22.767533,"marketCap":7508571874},{"date":"2023-09-22","current":13.785883,"twenty":10.527811,"median":15.309108,"eighty":22.706944,"marketCap":7325818038},{"date":"2023-09-29","current":14.172782,"twenty":10.527811,"median":15.27339,"eighty":22.677767,"marketCap":7531416103},{"date":"2023-10-06","current":13.779741,"twenty":10.527811,"median":15.262702,"eighty":22.64312,"marketCap":7322554577},{"date":"2023-10-13","current":13.487418,"twenty":10.527811,"median":15.243184,"eighty":22.526635,"marketCap":7167213816},{"date":"2023-10-20","current":14.376671,"twenty":10.527811,"median":15.201157,"eighty":22.411528,"marketCap":7639763020},{"date":"2023-10-27","current":13.912392,"twenty":10.496539,"median":15.173462,"eighty":22.367072,"marketCap":7393045342},{"date":"2023-11-03","current":13.820274,"twenty":10.496539,"median":15.138654,"eighty":22.317143,"marketCap":7344093422},{"date":"2023-11-10","current":14.277323,"twenty":10.496539,"median":15.061958,"eighty":22.22978,"marketCap":7535570913},{"date":"2023-11-17","current":14.780623,"twenty":10.496539,"median":15.021503,"eighty":22.15583,"marketCap":7801212876},{"date":"2023-11-24","current":15.25086,"twenty":10.496539,"median":15.009619,"eighty":22.022712,"marketCap":8049403907},{"date":"2023-12-01","current":15.843554,"twenty":10.496539,"median":15.009619,"eighty":21.901235,"marketCap":8362228019},{"date":"2023-12-08","current":16.062753,"twenty":10.506963,"median":15.011,"eighty":21.795732,"marketCap":8477921234},{"date":"2023-12-15","current":17.3706,"twenty":10.506963,"median":15.011,"eighty":21.679354,"marketCap":9168202539},{"date":"2023-12-22","current":18.113917,"twenty":10.506963,"median":15.011,"eighty":21.433384,"marketCap":9560525341},{"date":"2023-12-29","current":17.842061,"twenty":10.496539,"median":15.009619,"eighty":21.326,"marketCap":9417039901},{"date":"2024-01-05","current":17.467341,"twenty":10.486115,"median":15.005984,"eighty":21.234604,"marketCap":9219262673},{"date":"2024-01-12","current":17.453871,"twenty":10.486115,"median":15.005984,"eighty":21.120088,"marketCap":9212153034},{"date":"2024-01-19","current":16.899138,"twenty":10.475691,"median":15.002349,"eighty":20.980035,"marketCap":8919365178},{"date":"2024-01-26","current":17.3706,"twenty":10.486115,"median":15.005984,"eighty":20.814457,"marketCap":9168202539},{"date":"2024-02-02","current":17.922883,"twenty":10.486115,"median":15.005984,"eighty":20.683615,"marketCap":9459697735},{"date":"2024-02-09","current":18.686183,"twenty":10.486115,"median":15.005984,"eighty":20.583615,"marketCap":10985606798},{"date":"2024-02-16","current":19.698509,"twenty":10.486115,"median":15.005984,"eighty":20.41758,"marketCap":11580753724},{"date":"2024-02-23","current":20.34766,"twenty":10.486115,"median":15.005984,"eighty":20.387521,"marketCap":11962389294},{"date":"2024-03-01","current":20.21609,"twenty":10.496539,"median":15.009619,"eighty":20.363509,"marketCap":11885039371},{"date":"2024-03-08","current":19.540843,"twenty":10.496539,"median":15.009619,"eighty":20.30354,"marketCap":11488061668},{"date":"2024-03-15","current":19.818118,"twenty":10.496539,"median":15.009619,"eighty":20.211387,"marketCap":11651071836},{"date":"2024-03-22","current":20.7054,"twenty":10.496539,"median":15.009619,"eighty":20.150353,"marketCap":12172704373},{"date":"2024-03-28","current":20.279157,"twenty":10.496539,"median":15.009619,"eighty":20.112251,"marketCap":11922116194},{"date":"2024-04-05","current":18.608981,"twenty":10.486115,"median":15.005984,"eighty":20.036024,"marketCap":10940219653},{"date":"2024-04-12","current":17.94352,"twenty":10.486115,"median":15.005984,"eighty":19.935245,"marketCap":10548995251},{"date":"2024-04-19","current":17.107344,"twenty":10.486115,"median":15.005984,"eighty":19.903989,"marketCap":10057407725},{"date":"2024-04-26","current":18.151204,"twenty":10.496539,"median":15.009619,"eighty":19.875368,"marketCap":10671093063},{"date":"2024-05-03","current":17.932646,"twenty":10.496539,"median":15.009619,"eighty":19.836377,"marketCap":10542602695},{"date":"2024-05-10","current":18.271901,"twenty":10.496539,"median":15.009619,"eighty":19.806729,"marketCap":10742050430},{"date":"2024-05-17","current":18.059867,"twenty":10.496539,"median":15.009619,"eighty":19.776483,"marketCap":10617395596},{"date":"2024-05-24","current":16.400624,"twenty":10.496539,"median":15.009619,"eighty":19.711387,"marketCap":10599723366},{"date":"2024-05-31","current":17.935553,"twenty":10.496539,"median":15.009619,"eighty":19.698524,"marketCap":11591747957},{"date":"2024-06-07","current":17.600906,"twenty":10.496539,"median":15.009619,"eighty":19.673702,"marketCap":11375465343},{"date":"2024-06-14","current":18.018731,"twenty":10.486115,"median":15.005984,"eighty":19.616361,"marketCap":11645506063},{"date":"2024-06-21","current":17.852375,"twenty":10.475691,"median":15.002349,"eighty":19.587636,"marketCap":11537989851},{"date":"2024-06-28","current":17.049581,"twenty":10.465841,"median":14.992749,"eighty":19.532395,"marketCap":11019144171},{"date":"2024-07-05","current":16.259486,"twenty":10.465841,"median":14.992749,"eighty":19.492985,"marketCap":10508505489},{"date":"2024-07-12","current":17.831921,"twenty":10.465841,"median":14.992749,"eighty":19.424433,"marketCap":11524770448},{"date":"2024-07-15","current":17.603132,"twenty":10.465841,"median":14.992749,"eighty":19.407219,"marketCap":11376904523},{"date":"2024-08-02","current":16.732573,"twenty":10.370878,"median":14.953018,"eighty":19.293859,"marketCap":10814262147},{"date":"2024-08-09","current":14.661163,"twenty":10.370878,"median":14.94661,"eighty":19.293859,"marketCap":10010642272},{"date":"2024-08-16","current":14.901555,"twenty":10.370878,"median":14.909204,"eighty":19.293859,"marketCap":10174781624},{"date":"2024-08-23","current":15.333352,"twenty":10.370878,"median":14.903132,"eighty":19.293859,"marketCap":10469613063},{"date":"2024-08-30","current":15.482123,"twenty":10.370878,"median":14.909442,"eighty":19.293859,"marketCap":10571193643},{"date":"2024-09-06","current":15.729772,"twenty":10.370878,"median":14.909442,"eighty":19.293859,"marketCap":10740288145},{"date":"2024-09-13","current":15.907571,"twenty":10.370878,"median":14.909442,"eighty":19.293859,"marketCap":10861689326},{"date":"2024-09-20","current":16.76028,"twenty":10.370878,"median":14.909442,"eighty":19.293859,"marketCap":11443919479},{"date":"2024-09-27","current":17.925953,"twenty":10.370878,"median":14.909442,"eighty":19.293859,"marketCap":12239840486},{"date":"2024-10-04","current":17.454241,"twenty":10.370878,"median":14.909442,"eighty":19.293859,"marketCap":11917755720},{"date":"2024-10-11","current":18.062931,"twenty":10.370878,"median":14.909442,"eighty":19.293859,"marketCap":12333368947},{"date":"2024-10-18","current":18.409457,"twenty":10.370878,"median":14.909442,"eighty":19.293859,"marketCap":12569977371},{"date":"2024-10-25","current":17.955888,"twenty":10.370878,"median":14.909442,"eighty":19.293859,"marketCap":12260280481},{"date":"2024-10-31","current":18.296065,"twenty":10.370878,"median":14.909442,"eighty":19.293859,"marketCap":12492553148},{"date":"2024-11-08","current":20.081837,"twenty":10.368694,"median":14.909323,"eighty":19.306707,"marketCap":13731960102},{"date":"2024-11-15","current":19.204353,"twenty":10.368694,"median":14.909323,"eighty":19.340934,"marketCap":13131936805},{"date":"2024-11-22","current":18.809314,"twenty":10.368694,"median":14.909323,"eighty":19.340934,"marketCap":12861809009},{"date":"2024-11-29","current":21.014269,"twenty":10.368694,"median":14.909323,"eighty":19.399288,"marketCap":14369556801},{"date":"2024-12-06","current":21.176825,"twenty":10.368694,"median":14.909323,"eighty":19.446613,"marketCap":14480712837},{"date":"2024-12-13","current":20.529324,"twenty":10.368694,"median":14.909323,"eighty":19.521759,"marketCap":14037951644},{"date":"2024-12-20","current":20.202395,"twenty":10.368694,"median":14.909323,"eighty":19.551168,"marketCap":13814397606},{"date":"2024-12-27","current":21.125061,"twenty":10.368694,"median":14.909323,"eighty":19.570422,"marketCap":14445316781},{"date":"2025-01-03","current":21.028799,"twenty":10.368694,"median":14.909323,"eighty":19.638705,"marketCap":14379492536},{"date":"2025-01-10","current":22.072247,"twenty":10.366511,"median":14.909204,"eighty":19.685026,"marketCap":15093002509},{"date":"2025-01-17","current":21.58821,"twenty":10.366511,"median":14.909204,"eighty":19.711387,"marketCap":14762018335},{"date":"2025-01-24","current":23.295506,"twenty":10.366511,"median":14.909204,"eighty":19.805112,"marketCap":15929467202},{"date":"2025-01-31","current":23.475317,"twenty":10.366511,"median":14.909204,"eighty":19.886187,"marketCap":16052421924},{"date":"2025-02-07","current":23.943057,"twenty":10.366511,"median":14.91833,"eighty":19.977275,"marketCap":16870277685},{"date":"2025-02-14","current":24.415536,"twenty":10.366511,"median":14.969107,"eighty":20.078996,"marketCap":17203186803},{"date":"2025-02-21","current":25.114175,"twenty":10.366511,"median":14.985059,"eighty":20.169163,"marketCap":17695447597},{"date":"2025-02-28","current":23.731799,"twenty":10.366511,"median":15.013799,"eighty":20.276786,"marketCap":16721425926},{"date":"2025-03-07","current":20.892539,"twenty":10.364327,"median":15.083895,"eighty":20.412684,"marketCap":14720883003},{"date":"2025-03-14","current":18.993855,"twenty":10.462558,"median":15.14291,"eighty":20.412684,"marketCap":13383070106},{"date":"2025-03-21","current":19.73457,"twenty":10.550466,"median":15.16449,"eighty":20.412684,"marketCap":13904977722},{"date":"2025-03-28","current":19.737199,"twenty":10.715172,"median":15.201157,"eighty":20.417936,"marketCap":13906830649},{"date":"2025-04-02","current":20.066795,"twenty":10.756749,"median":15.235352,"eighty":20.417936,"marketCap":14139064097}],"updateTime":1743724903280}}}