ENG/中
老虎证券
行情
产品介绍
Cash Boost账户
新加坡股
美股
美股碎股
港股
A股通
期权
期货
美国国债
定投
固定票息票据
Tiger BOSS Debit Card
基金超市
老虎钱袋子
老虎API平台
Wealth
费用
综合账户
股票与ETF
期权、窝轮与牛熊证
期货
债券
基金超市
Cash Boost
股票与ETF
融资利率
活动
帮助
账户操作
如何开户
开户文件
账户类型
资金与转仓
入金
DDA快捷入金
出金
转入股票
转出股票
货币兑换
产品与交易
可交易产品
订单类型
交易规则
申报
融资融券
保证金与杠杆
风险管理
做空风险
基金超市
基金开户与交易
Cash Boost账户
Cash Boost 账户FAQ
如何开通 Cash Boost 账户
如何用Cash Boost 账户交易
如何绑定CDP证券账户
Tiger Boss Debit Card
常见问题
费用说明
如何充值
如何使用我的Debit card
账单报表
账单报表
股息(分红)
专栏
TigerAI
机构
财富及资产管理人
自营交易机构
介绍经纪商
三方服务商
登录
立即注册
Toggle
新股
详情
本页面由Tiger Fintech (Singapore) Pte. Ltd.提供服务
综合制造科技
0.015
0.000
成交量:
28.00万
成交额:
4,200.00
市值:
361.67万
市盈率:
-1.05
高:
0.015
开:
0.015
低:
0.015
收:
0.015
数据加载中...
总览
公司
新闻
公告
MIT控股半年报净利8000万日元,同比激增31%
华尔街洞察
·
07-15
MIT满分学霸掏空AI初创,谷歌24亿收购黑幕曝光!数百员工血本无归
市场资讯
·
07-14
MIT突破机器人控制技术:无需传感器,单摄像头即可实现精准运动
市场资讯
·
07-13
MIT满分学霸CEO反手毁约,OpenAI天塌了!谷歌半路截胡30亿天价收购
市场资讯
·
07-12
硅谷最狠“伪君子”!华人女记者深扒OpenAI:3000亿AI帝国全靠偷数据?
市场资讯
·
07-10
MIT发布自适应语言模型!新任务,自生成远超“GPT-4.1合成训练数据”
市场资讯
·
07-09
【港股异动 | 康龙化成(03759.HK)涨超3% 国内首台AMS落户宁波 公司一体化研发服务平台全面升级】智通财经A
智通财经
·
07-08
MIT团队AI模拟婴儿视觉,早期视力差有助大脑视觉系统发育
市场资讯
·
07-07
MIT团队让机器人“自学成才”,仅用摄像头实现机器人精准控制
市场资讯
·
07-07
MIT团队推出首台芯片级3D打印机,纯光固化树脂技术实现手持打印
市场资讯
·
07-06
微软下场支持,MIT利用毫米波透视盒中物体,精准识别出杯子手柄
市场资讯
·
07-03
AI也爱看开头结尾?MIT团队揭秘大语言模型的位置偏见
市场资讯
·
07-02
UofT、UBC、MIT和复旦发布:扩散模型驱动的异常检测与生成综述
市场资讯
·
07-01
Gary Marcus:纯LLM上构建AGI彻底没希望!MIT、芝大、哈佛论文火了
市场资讯
·
06-30
面向6G应用,MIT开发新型光子处理器,纳秒级处理无线信号
市场资讯
·
06-27
DeepMind迎来超级大脑,何恺明出任兼职杰出科学家
市场资讯
·
06-26
推理正确率下降65.5%!斯坦福、MIT等用“不等式”拷问AI逻辑极限
市场资讯
·
06-23
MIT 打造“空气变水”神器,日产 160 毫升饮用水
市场资讯
·
06-21
ChatGPT上瘾,大脑萎缩47%!MIT祭出206页92图超长报告
市场资讯
·
06-19
MIT 研究人员攻克玻璃 3D 打印难题:可在低温下打印无机复合玻璃
市场资讯
·
06-19
更多
{"basename":"/hans","ssrTDKData":{"titleTemplate":"%s - 老虎证券","title":"老虎证券全球投资理财平台| 一站式投资美股新股港股A股","description":"老虎证券助您一站式投资美股,新股,港股,A股等全球金融理财产品。新加坡华人最信赖的在线投资平台,现在加入即享低费用,24/5 无时差炒美股投资理财!","keywords":"老虎证券,老虎证券开户,老虎券商,老虎证券官网,老虎证券app,tigertrade老虎证券,股票,炒股,新加坡股票交易平台,投资,投资理财","social":{"ogDescription":"老虎证券助您一站式投资美股,新股,港股,A股等全球金融理财产品。新加坡华人最信赖的在线投资平台,现在加入即享低费用,24/5 无时差炒美股投资理财!","ogImage":"https://c1.itigergrowtha.com/portal5/static/media/og-logo.be62fbe1.png","ogUrl":"https://www.itiger.com/hans/stock/M11.SI/news"},"companyName":"老虎证券"},"pageData":{"isMobile":false,"isTiger":false,"isTTM":true,"region":"SGP","license":"TBSG","edition":"fundamental","symbol":"M11.SI","isAnalysisPage":false},"__swrFallback__":{"@#url:\"https://hq.skytigris.cn/stock_info/detail/global\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"M11.SI\",,,,,undefined,":{"symbol":"M11.SI","market":"SI","secType":"STK","nameCN":"综合制造科技","latestPrice":0.015,"timestamp":1752830160000,"preClose":0.015,"halted":0,"volume":280000,"delay":15,"nameEN":"MFG Integration^","floatShares":69921507,"shares":241112470,"eps":-0.014329,"marketStatus":"休市中","change":0,"latestTime":"07-18 17:16:00 SGT 延时","open":0.015,"high":0.015,"low":0.015,"amount":4200,"amplitude":0,"askPrice":0,"askSize":0,"bidPrice":0,"bidSize":0,"shortable":3,"etf":0,"ttmEps":-0.014329,"tradingStatus":0,"nextMarketStatus":{"tag":"开盘","tradingStatus":2,"beginTime":1753057800000},"marketStatusCode":7,"adr":0,"exchange":"SGX","adjPreClose":0.015,"openAndCloseTimeList":[[1752798600000,1752811200000],[1752814800000,1752830160000]],"volumeRatio":15.053763474852584,"lotSize":100,"tradeCurrency":"SGD"},"@#url:\"https://hq.skytigris.cn/stock_info/fundamental/all\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"M11.SI\",,,,,undefined,":{"symbol":"M11.SI","floatShares":69921507,"roa":"-19.14%","roe":"-41.30%","lyrEps":-0.014329,"volumeRatio":15.053763474852584,"shares":241112470,"dividePrice":0,"high":0.015,"amplitude":0,"preClose":0.015,"low":0.015,"week52Low":0.011,"pbRate":"0.54","psRate":"0.54","week52High":0.033,"institutionHeld":0,"latestPrice":0.015,"eps":-0.014329,"divideRate":0,"volume":280000,"delay":15,"ttmEps":-0.014329,"open":0.015,"prevYearClose":0.014,"prevWeekClose":0.014,"prevMonthClose":0.023,"prevQuarterClose":0.023,"fiveDayClose":0.014,"twentyDayClose":0.013,"sixtyDayClose":0.011},"$inf$@#url:\"https://stock-news.skytigris.cn/v2/news/list\",params:#symbols:\"M11.SI\",pageSize:20,pageCount:1,lang_content:\"cn\",edition:\"fundamental\",,,undefined,":[{"items":[{"id":"1131112517","title":"MIT控股半年报净利8000万日元,同比激增31%","url":"https://stock-news.laohu8.com/highlight/detail?id=1131112517","media":"华尔街洞察","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1131112517?lang=zh_cn&edition=fundamental","pubTime":"2025-07-15 16:21","pubTimestamp":1752567681,"startTime":"0","endTime":"0","summary":"日本MIT控股株式会社公布截至2025年5月31日的半年度财务业绩。财报数据显示,公司多项核心指标实现显著提升:。根据日本会计准则编制,本次财报呈现稳健增长态势。其中净利润同比跃升31.15%,营业利润增幅达17.4%,反映公司经营效率持续优化。营收规模突破26亿日元关口,较上年同期增长3.1%,显示主营业务保持扩张动能。值得注意的是,每股盈利指标同步提升,基本每股收益站上40日元水平,同比增幅接近30%,为投资者带来实质性回报增长。","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["M11.SI","MIT"],"gpt_icon":0},{"id":"2551902038","title":"MIT满分学霸掏空AI初创,谷歌24亿收购黑幕曝光!数百员工血本无归","url":"https://stock-news.laohu8.com/highlight/detail?id=2551902038","media":"市场资讯","labels":["merge"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2551902038?lang=zh_cn&edition=fundamental","pubTime":"2025-07-14 17:19","pubTimestamp":1752484740,"startTime":"0","endTime":"0","summary":"OpenAI收购Windsurf在即,突然半路杀出个谷歌!为了这次挖角,谷歌豪掷24亿美元!但如果初创公司资金充足,员工就会对股权的真实价值产生怀疑。这位MIT满绩点的学霸认为这项交易非常完美,那些为Scale AI欢呼的人,也应该给他们鼓掌。网友Jordan Thibodeau曾在谷歌从事了将近十年的并购工作,表示谷歌不会区别对待,所有已归属期权的员工都会得到补偿,和Character的交易一样。而AI人才争夺战,将彻底改写硅谷的规则。","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://finance.sina.com.cn/stock/t/2025-07-14/doc-inffmtus8055929.shtml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-2","news_top_title":null,"news_tag":"merge","news_rank":0,"length":0,"strategy_id":0,"source":"sina","symbols":["LU0170899867.USD","LU2168564149.EUR","LU1069347547.HKD","LU0690374961.EUR","LU2168564222.USD","LU1066053197.SGD","LU2750360641.GBP","LU0648001328.SGD","LU0314104364.USD","BK4514","IE00BJTD4V19.USD","LU2404859741.USD","LU1127390331.HKD","M11.SI","LU0557290698.USD","LU2360032135.SGD","IE0034235303.USD","BK4585","LU0354030438.USD","IE00B5949003.HKD","LU0203345920.USD","LU0477156797.USD","IE0004086264.USD","LU2456880835.USD","LU0289941410.SGD","LU2756315664.SGD","SG9999002232.USD","GOOGL","LU0477156953.USD","LU2326559502.SGD","LU0061475181.USD","LU0648000940.SGD","LU1852331112.SGD","SG9999014898.SGD","LU1551013342.USD","LU1803068979.SGD","LU0203201768.USD","LU0456855351.SGD","LU0342679015.USD","USJW.SI","LU1244550494.USD","IE0004091025.USD","IE00B5TLWC47.USD","LU1951200564.SGD","MIT","LU0690374615.EUR","LU2750360997.AUD","LU1261432733.SGD","LU2552382058.USD","GOOG"],"gpt_icon":1},{"id":"2551946685","title":"MIT突破机器人控制技术:无需传感器,单摄像头即可实现精准运动","url":"https://stock-news.laohu8.com/highlight/detail?id=2551946685","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2551946685?lang=zh_cn&edition=fundamental","pubTime":"2025-07-13 16:39","pubTimestamp":1752395940,"startTime":"0","endTime":"0","summary":"IT之家 7 月 13 日消息,麻省理工学院团队提出一种基于视觉的深度学习方法,仅需单个摄像头即可让软体机器人和仿生机器人学习运动与控制。传统工业机器人虽易于建模控制,但刚性结构难以适应狭小或不平坦地形。软体及仿生机器人虽具备环境适应优势,却通常依赖大量传感器和定制化空间模型。现在,MIT 团队通过深度学习技术解决了这一矛盾。","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://finance.sina.com.cn/stock/t/2025-07-13/doc-inffikpp7568345.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":"sina","symbols":["M11.SI","BK6062","MIT","BK6515"],"gpt_icon":0},{"id":"2550995205","title":"MIT满分学霸CEO反手毁约,OpenAI天塌了!谷歌半路截胡30亿天价收购","url":"https://stock-news.laohu8.com/highlight/detail?id=2550995205","media":"市场资讯","labels":["corporation","merge"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2550995205?lang=zh_cn&edition=fundamental","pubTime":"2025-07-12 11:05","pubTimestamp":1752289500,"startTime":"0","endTime":"0","summary":"OpenAI 30亿美元收购Windsurf的美梦,竟被谷歌半路截胡。一早醒来,OpenAI又天塌了。现在,Windsurf CEO及其部分团队成员,已经半途被截胡。本来,OpenAI已经下定决心豪掷30亿收购Windsurf,全力进军AI编码市场了。据内部人士爆料,微软作为OpenAI最大的金主爸爸,拥有OpenAI的全部知识产权。就在周五,Fortune报道称,OpenAI收购Windsurf的排他性期限已过,这意味着 Windsurf现在自由了,可以开始任何其他的收购要约。他在MIT先后拿到了CS的本科和硕士学位,GPA拿到了5.0的满分。","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://finance.sina.com.cn/stock/t/2025-07-12/doc-inffeqst8453399.shtml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-2","news_top_title":null,"news_tag":"corporation,merge","news_rank":0,"length":0,"strategy_id":0,"source":"sina","symbols":["LU0823434583.USD","LU1235294995.USD","LU0096364046.USD","IE00B5TLWC47.USD","LU2108987350.USD","LU2168564065.EUR","LU0256863811.USD","LU0477156797.USD","LU1778281490.HKD","LU1791710400.SGD","IE00BQXX3F31.USD","LU1670627923.USD","LU0689472784.USD","GOOGL","MIT","LU1145028129.USD","BK4602","LU0082616367.USD","LU2430703251.USD","USJW.SI","IE0005OL40V9.USD","LU2552382215.SGD","LU2456880835.USD","LU0308772762.SGD","LU0640476718.USD","LU2275660780.HKD","IE0004445239.USD","LU1699723380.USD","LU2054465674.USD","LU0107464264.USD","LU0466842654.USD","SG9999018865.SGD","LU0345774631.USD","LU2430703178.SGD","LU1267930813.SGD","LU0061475181.USD","LU2458330243.SGD","GOOG","LU0265550359.USD","LU2063271972.USD","LU1116320901.HKD","LU0128525929.USD","LU0345774391.USD","LU0109391861.USD","LU1032955483.USD","LU1121112475.USD","M11.SI","BK4581","SG9999015978.USD","LU2265009873.SGD"],"gpt_icon":1},{"id":"2550475036","title":"硅谷最狠“伪君子”!华人女记者深扒OpenAI:3000亿AI帝国全靠偷数据?","url":"https://stock-news.laohu8.com/highlight/detail?id=2550475036","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2550475036?lang=zh_cn&edition=fundamental","pubTime":"2025-07-10 18:58","pubTimestamp":1752145080,"startTime":"0","endTime":"0","summary":"华人女记者郝珂灵深挖了奥特曼背后的秘密。她还与主编Niall Firth深入交流,讲述了她2020年首次报道OpenAI的经历。Karen Hao郝珂灵屡获殊荣,长期聚焦AI对社会的影响。OpenAI对此相当不满。OpenAI力图拯救世界的背后:混乱与秘密这个“AI登月项目”的初心是透明开放。最初,OpenAI自称是非营利机构,宣称自己的使命是“让通用人工智能造福全人类”。“虚伪的面具被扒光”,这就是OpenAI不满的主因。2015年底创立时,OpenAI就是全AI领域的奇葩;2017年做此决策之际,更是如此。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/stock/t/2025-07-10/doc-infeyxsk8319486.shtml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"-1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"sina","symbols":["LU0267386448.USD","LU0476273544.USD","LU0128525929.USD","LU0314104364.USD","LU2404859741.USD","IE0034235188.USD","LU2420271590.USD","LU1435385759.SGD","LU2430703095.HKD","BK6062","BK4588","LU0130518102.USD","BK4573","LU2054465674.USD","LU2106854487.HKD","SG9999015978.USD","IE00B1XK9C88.USD","LU0128525689.USD","LU0107464264.USD","LU1935042991.SGD","LU0215105999.USD","LU2168563687.JPY","LU2360032135.SGD","LU0494093205.USD","LU0640476718.USD","LU1868837136.USD","LU0029864427.USD","LU0170899867.USD","M11.SI","IE0004091025.USD","BK4566","LU1066051811.HKD","LU1267930730.SGD","LU1974910355.USD","LU0077335932.USD","LU0211328371.USD","BK4574","LU1868836591.USD","LU0348723411.USD","LU2092937148.SGD","LU2505996509.AUD","LU2491050154.USD","LU2028103732.USD","LU2362540622.SGD","LU0157215616.USD","LU0345769128.USD","LU1232071149.USD","LU1221951046.USD","LU0708994859.HKD"],"gpt_icon":1},{"id":"2550508906","title":"MIT发布自适应语言模型!新任务,自生成远超“GPT-4.1合成训练数据”","url":"https://stock-news.laohu8.com/highlight/detail?id=2550508906","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2550508906?lang=zh_cn&edition=fundamental","pubTime":"2025-07-09 09:28","pubTimestamp":1752024480,"startTime":"0","endTime":"0","summary":"相比与直接在原始文本上微调不同,经过强化学习训练后,使用SEAL生成的合成数据进行微调,将SQuAD无上下文版本的问题回答准确率从33.5%提高到47.0%,甚至超过了GPT-4.1生成的合成数据。自适应大模型自适应大模型可以帮助语言模型更好地适应特定任务。经过强化学习后,SEAL进一步将准确率提升到47.0%,尽管模型规模较小,但表现优于使用GPT-4.1生成的合成数据。研究人员为每个段落采样5个自编辑生成内容,并将这些合成数据用于持续预训练。","market":"sg","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/stock/t/2025-07-09/doc-infevtfv2928261.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":"sina","symbols":["MIT","BK6062","BK6515","M11.SI"],"gpt_icon":0},{"id":"2549956725","title":"【港股异动 | 康龙化成(03759.HK)涨超3% 国内首台AMS落户宁波 公司一体化研发服务平台全面升级】智通财经A","url":"https://stock-news.laohu8.com/highlight/detail?id=2549956725","media":"智通财经","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2549956725?lang=zh_cn&edition=fundamental","pubTime":"2025-07-08 09:44","pubTimestamp":1751939041,"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.zhitongcaijing.com/immediately.html?type=ganggu","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_zhitongcaijing","symbols":["BK1576","BK6515","M11.SI","AMS","03759","BK4196","BK0216","BK1141","300759","BK6062"],"gpt_icon":0},{"id":"2549390425","title":"MIT团队AI模拟婴儿视觉,早期视力差有助大脑视觉系统发育","url":"https://stock-news.laohu8.com/highlight/detail?id=2549390425","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2549390425?lang=zh_cn&edition=fundamental","pubTime":"2025-07-07 18:41","pubTimestamp":1751884860,"startTime":"0","endTime":"0","summary":"基于这些发现,MIT 团队进一步探索了发育初期同时限制色彩和视敏度可能产生的后果。MIT 团队发现,接受仿生输入训练的模型明显更倾向于依据物体形状判断,这与人类行为一致。","market":"sg","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/stock/t/2025-07-07/doc-infesafi6103885.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":"sina","symbols":["MIT","BK6515","M11.SI","BK6062"],"gpt_icon":0},{"id":"2549539127","title":"MIT团队让机器人“自学成才”,仅用摄像头实现机器人精准控制","url":"https://stock-news.laohu8.com/highlight/detail?id=2549539127","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2549539127?lang=zh_cn&edition=fundamental","pubTime":"2025-07-07 18:27","pubTimestamp":1751884020,"startTime":"0","endTime":"0","summary":"据介绍,本次方法仅通过单个摄像头就能实现对机器人的控制,无需针对机器人的材料、驱动方式或传感能力做出任何假设,并且只需通过观察随机指令的执行过程即可完成训练,完全无需专家干预。由于本次方法仅使用普通摄像头作为唯一传感器就能实现机器人控制,因此研究团队预计这项研究将拓宽机器人系统的设计空间,并能为降低机器人的自动化门槛奠定基础。","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://finance.sina.com.cn/stock/t/2025-07-07/doc-infesafi6104115.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":"sina","symbols":["BK6062","BK6515","M11.SI","MIT"],"gpt_icon":0},{"id":"2549326570","title":"MIT团队推出首台芯片级3D打印机,纯光固化树脂技术实现手持打印","url":"https://stock-news.laohu8.com/highlight/detail?id=2549326570","media":"市场资讯","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2549326570?lang=zh_cn&edition=fundamental","pubTime":"2025-07-06 11:19","pubTimestamp":1751771940,"startTime":"0","endTime":"0","summary":"IT之家 7 月 6 日消息,麻省理工学院 与得克萨斯大学奥斯汀分校联合开发出了全球首款芯片级 3D 打印机原型。芯片表面集成微米级光学天线阵列,通过操控光束射入特制树脂槽。据介绍,这种树脂经过特殊优化设计,可在特定可见光波长下迅速固化。研究核心突破源于硅光子学与光化学的跨学科结合。与此同时,奥斯汀分校佩奇团队首创了可见光波长快速固化树脂技术 —— 这也是芯片级 3D 打印机的关键所在。","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://finance.sina.com.cn/stock/t/2025-07-06/doc-infepaas5635512.shtml","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":"sina","symbols":["BK6515","M11.SI","MIT","BK6062"],"gpt_icon":0},{"id":"2548823952","title":"微软下场支持,MIT利用毫米波透视盒中物体,精准识别出杯子手柄","url":"https://stock-news.laohu8.com/highlight/detail?id=2548823952","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2548823952?lang=zh_cn&edition=fundamental","pubTime":"2025-07-03 10:36","pubTimestamp":1751510160,"startTime":"0","endTime":"0","summary":"然而,现有的毫米波重建方法仍存在精度不足等问题,在探测诸如家居用品等较小物体方面,传统方法的效率并不高。近日,麻省理工学院的研究人员开发了一种名为mmNorm的突破性成像技术,该方法利用毫米波信号实现物体精确 3D 重建,在超过 110 次真实世界实验中评估了超过 60 种不同的日常对象,并与最先进的基准线进行了比较,达到了 96% 的重建精度。","market":"other","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/stock/t/2025-07-03/doc-infeeerr3649964.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":"sina","symbols":["SG9999017495.SGD","LU1571399168.USD","LU2505996509.AUD","LU2360106780.USD","LU2404859741.USD","MIT","SG9999014542.SGD","LU2264538146.SGD","LU1720051108.HKD","LU1582986359.USD","LU0792757196.USD","LU2065169927.USD","IE00B4YYXB79.USD","BK4598","LU1032466523.USD","BK4554","LU2023250843.SGD","SG9999018865.SGD","IE0004445239.USD","LU0823417737.USD","LU1548497426.USD","LU0820562030.AUD","LU0795875169.SGD","LU1917777945.USD","LU1989763005.USD","LU2097344357.USD","IE00BK4W5L77.USD","LU0557290698.USD","LU2092937148.SGD","SG9999014559.SGD","LU1043141396.HKD","M11.SI","LU0882574139.USD","LU2430703095.HKD","SG9999014914.USD","LU0056508442.USD","LU2275660780.HKD","LU0061474705.USD","LU2417539215.USD","IE00BJJMRX11.SGD","LU0289960550.SGD","LU2430703178.SGD","LU2458330169.SGD","LU1670711123.USD","LU0061475181.USD","LU2361044949.HKD","LU0511384066.AUD","LU1564329628.SGD","LU0082616367.USD"],"gpt_icon":1},{"id":"2548886881","title":"AI也爱看开头结尾?MIT团队揭秘大语言模型的位置偏见","url":"https://stock-news.laohu8.com/highlight/detail?id=2548886881","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2548886881?lang=zh_cn&edition=fundamental","pubTime":"2025-07-02 14:46","pubTimestamp":1751438760,"startTime":"0","endTime":"0","summary":"研究表明,大型语言模型往往会过度强调文档或对话开头和结尾的信息,而忽略中间部分。近期,麻省理工学院的研究人员揭秘了这一现象背后的机制。分析注意力机制Claude、Llama 和 GPT-4 等大型语言模型由一种称为 Transformer 的神经网络架构驱动。未来,研究团队计划深入探究位置编码的影响机制,并研究如何在某些应用中策略性地利用位置偏差。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/stock/t/2025-07-02/doc-infeafyn2597568.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":"sina","symbols":["M11.SI","BK6515","BK6062","MIT"],"gpt_icon":0},{"id":"2548023642","title":"UofT、UBC、MIT和复旦发布:扩散模型驱动的异常检测与生成综述","url":"https://stock-news.laohu8.com/highlight/detail?id=2548023642","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2548023642?lang=zh_cn&edition=fundamental","pubTime":"2025-07-01 10:36","pubTimestamp":1751337360,"startTime":"0","endTime":"0","summary":"图 2 异常检测、生成和扩散模型的研究热度分析二、扩散模型与异常检测扩散模型通过正向扩散与反向去噪的马尔可夫过程实现数据分布建模。图 3 基于扩散模型的异常评分机制基于 DMs 的异常检测通过建模数据分布的内在结构,将异常定义为与正常数据模式的显著偏离。","market":"other","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/stock/t/2025-07-01/doc-infcxsmt5599192.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":"sina","symbols":["BK6062","MIT","BK6515","M11.SI"],"gpt_icon":0},{"id":"2547916030","title":"Gary Marcus:纯LLM上构建AGI彻底没希望!MIT、芝大、哈佛论文火了","url":"https://stock-news.laohu8.com/highlight/detail?id=2547916030","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2547916030?lang=zh_cn&edition=fundamental","pubTime":"2025-06-30 10:40","pubTimestamp":1751251200,"startTime":"0","endTime":"0","summary":"Gary Marcus 认为,这宣告了任何试图在纯粹 LLM 基础上构建 AGI 希望的终结。接着,Gary Marcus 又接连发推,分享了他对这篇论文的更多看法。在仔细研读论文后,Gary Marcus 认为它的核心观点是正确的 ——LLM 确实容易产生各种自相矛盾。根据他自己之前非正式实验的观察,Gary Marcus 确信此处存在一个真正的问题。Gary Marcus 的观点让评论区炸了锅,有人问他是否认可 LLM 越来越好。接下来,我们来看这篇论文究竟讲了什么,是否真能支撑起 Gary Marcus 这番言论。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/stock/t/2025-06-30/doc-infcvies7849065.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":"sina","symbols":["LU0498741114.HKD","AGI","M11.SI","MIT","LU0368265764.SGD","BK6515","LU0498741890.SGD","BK6062","BK4017","LU0496367417.USD","LU0055631609.USD"],"gpt_icon":0},{"id":"2546154107","title":"面向6G应用,MIT开发新型光子处理器,纳秒级处理无线信号","url":"https://stock-news.laohu8.com/highlight/detail?id=2546154107","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2546154107?lang=zh_cn&edition=fundamental","pubTime":"2025-06-27 16:56","pubTimestamp":1751014560,"startTime":"0","endTime":"0","summary":"AI 技术能有效处理日益复杂的频谱环境,同时满足无线数据传输速率持续攀升的需求。基于 AI 的信号处理技术将赋能 6G 等新一代通信系统,使认知无线电、信号指纹识别及动态资源分配等关键能力得以实现。这款光学处理器能以光速执行机器学习运算,能在纳秒级时间内对无线信号进行分类。光速处理当前,最先进的无线信号处理数字 AI 加速器需将信号转换为图像后,通过深度学习模型进行分类。","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://finance.sina.com.cn/stock/t/2025-06-27/doc-infcparh3855651.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":"sina","symbols":["M11.SI","BK6515","BK6062","MIT"],"gpt_icon":0},{"id":"2546553271","title":"DeepMind迎来超级大脑,何恺明出任兼职杰出科学家","url":"https://stock-news.laohu8.com/highlight/detail?id=2546553271","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2546553271?lang=zh_cn&edition=fundamental","pubTime":"2025-06-26 10:30","pubTimestamp":1750905000,"startTime":"0","endTime":"0","summary":"就在刚刚,计算机视觉领域代表人物何恺明最新官宣,已加入谷歌DeepMind,担任杰出科学家。他在个人主页上表示,自己在 DeepMind 的工作是兼职,还将继续保留 MIT 终身副教授的身份。2015 年,何恺明及其团队提出了 ResNet 架构。除了检测与分割,何恺明在 Meta 还致力于推动“自监督学习”的研究。目前他的论文总引用次数已超过 70 万次,在全球 AI 学术圈内影响深远。显而易见,在加入 DeepMind 之后,我们一定会看到这位“学术+行业”的双料 AI 大牛带来影响更深远的成果。","market":"sg","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/stock/t/2025-06-26/doc-infckhun7226548.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":"sina","symbols":["LU0097036916.USD","LU0323591593.USD","LU0672654240.SGD","MIT","LU0949170426.SGD","LU2210150020.SGD","LU1232071149.USD","LU1066051498.USD","LU1582987597.SGD","BK4538","LU1718418525.SGD","M11.SI","LU0354030511.USD","LU1244550494.USD","LU0456855351.SGD","LU1267930573.SGD","LU2168564495.EUR","LU0109392836.USD","LU1316542783.SGD","LU0276348264.USD","IE00BJTD4N35.SGD","LU2471134952.CNY","IE00BLSP4452.SGD","BK4566","LU1670711123.USD","IE00B1XK9C88.USD","SG9999014575.USD","LU0494093205.USD","LU2125154778.USD","SG9999015358.SGD","BK4525","LU0417517546.SGD","LU0965509101.SGD","SG9999004303.SGD","LU2168564149.EUR","LU2298321311.HKD","IE00BBT3K403.USD","SGXZ51526630.SGD","LU2326559502.SGD","BK4587","LU1691799644.USD","LU2347655156.SGD","IE00B19Z8W00.USD","LU2023250504.SGD","LU2097829019.USD","LU0353189680.USD","LU0545039389.USD","LU0795875169.SGD","BK4534"],"gpt_icon":1},{"id":"2545464312","title":"推理正确率下降65.5%!斯坦福、MIT等用“不等式”拷问AI逻辑极限","url":"https://stock-news.laohu8.com/highlight/detail?id=2545464312","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2545464312?lang=zh_cn&edition=fundamental","pubTime":"2025-06-23 13:17","pubTimestamp":1750655820,"startTime":"0","endTime":"0","summary":"斯坦福等高校团队提出IneqMath基准,将不等式证明拆解为可验证的子任务。结果显示,模型的推理正确率远低于答案正确率,暴露出其在数学推理上的缺陷。近日,来自斯坦福大学、麻省理工学院与加州大学伯克利分校的研究团队联合提出了一个创新性数学不等式基准IneqMath,专门用于评估语言模型在复杂数学推理中的严谨性与合理性。","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://finance.sina.com.cn/stock/t/2025-06-23/doc-infazvxh0620629.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":"sina","symbols":["BK6062","M11.SI","MIT","BK6515"],"gpt_icon":0},{"id":"2545888504","title":"MIT 打造“空气变水”神器,日产 160 毫升饮用水","url":"https://stock-news.laohu8.com/highlight/detail?id=2545888504","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2545888504?lang=zh_cn&edition=fundamental","pubTime":"2025-06-21 15:23","pubTimestamp":1750490580,"startTime":"0","endTime":"0","summary":"MIT 指出全球水资源短缺问题日益严峻,如河流、湖泊和水库等传统水源已接近极限,为应对该挑战,工程师将目光转向了空气中的水蒸气。MIT 团队开发了一种新型大气水收集器,其核心是一种黑色水凝胶材料。在死亡谷的测试中,即使在低湿度条件下,它每天也能生产最多 160 毫升的饮用水。此外,水凝胶的微结构设计进一步减少了盐分泄漏,确保收集的水符合安全饮用标准。","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://finance.sina.com.cn/stock/t/2025-06-21/doc-infavpze5116386.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":"sina","symbols":["BK6062","M11.SI","MIT","BK6515"],"gpt_icon":0},{"id":"2544347401","title":"ChatGPT上瘾,大脑萎缩47%!MIT祭出206页92图超长报告","url":"https://stock-news.laohu8.com/highlight/detail?id=2544347401","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2544347401?lang=zh_cn&edition=fundamental","pubTime":"2025-06-19 13:06","pubTimestamp":1750309560,"startTime":"0","endTime":"0","summary":"MIT最新研究惊人发现:长期依赖大模型,学习能力下降、大脑受损,神经连接减少47%。ChatGPT正在“吸干”你的大脑!刚刚,麻省理工学院完成了针对ChatGPT用户的首次大脑扫描研究,结果让人惊掉下巴。针对日常写作中使用ChatGPT带来的影响,这次用数据揭示了AI版“魔鬼的交易”:依赖AI写作,等于用长期思维能力,换取短暂效率。也就是说降低了47%。这次研究人员还发现了AI生产力悖论:毫无疑问,ChatGPT让人完成任务的速度提升60%。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://finance.sina.com.cn/stock/t/2025-06-19/doc-infaqvpr3833501.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":"sina","symbols":["BK6062","M11.SI","MIT","BK6515"],"gpt_icon":0},{"id":"2544135348","title":"MIT 研究人员攻克玻璃 3D 打印难题:可在低温下打印无机复合玻璃","url":"https://stock-news.laohu8.com/highlight/detail?id=2544135348","media":"市场资讯","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2544135348?lang=zh_cn&edition=fundamental","pubTime":"2025-06-19 11:00","pubTimestamp":1750302000,"startTime":"0","endTime":"0","summary":"MIT 表示,这项新技术突破了传统工艺的限制,让许多以往难以实现的玻璃结构成为可能。IT之家从报道中获悉,研究团队将这种材料称为“无机复合玻璃”,整个工艺则被命名为“低温增材制造”。据介绍,无机复合玻璃由纳米粒子与硅酸盐溶液等无机物组成。","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://finance.sina.com.cn/stock/t/2025-06-19/doc-infaqkxs5231841.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":"sina","symbols":["MIT","M11.SI","BK6515","BK6062"],"gpt_icon":0}],"pageSize":20,"totalPage":3,"pageCount":1,"totalSize":48,"code":"91000000","status":"200"}],"@#url:\"https://hq.skytigris.cn/fundamental/corporate_actions/details/M11.SI\",params:#limit:5,,,undefined,":[{"market":"SI","date":"2020-12-30","symbol":"M11.SI","amount":0.033,"name":"综合制造科技","recordDate":"2021-01-08","payableDate":"2020-12-31","currency":"SGD","type":"dividend","dateTimestamp":1609257600000},{"market":"SI","date":"2019-07-15","symbol":"M11.SI","amount":0.033,"name":"综合制造科技","recordDate":"2019-07-23","payableDate":"2019-07-16","currency":"SGD","type":"dividend","dateTimestamp":1563120000000},{"market":"SI","date":"2019-04-03","symbol":"M11.SI","amount":0.155,"name":"综合制造科技","recordDate":"2019-04-12","payableDate":"2019-04-04","currency":"SGD","type":"dividend","dateTimestamp":1554220800000},{"market":"SI","date":"2018-05-07","symbol":"M11.SI","amount":0.0075,"name":"综合制造科技","recordDate":"2018-05-23","payableDate":"2018-05-09","currency":"SGD","type":"dividend","dateTimestamp":1525622400000},{"market":"SI","date":"2017-08-22","symbol":"M11.SI","amount":0.0025,"name":"综合制造科技","recordDate":"2017-09-04","payableDate":"2017-08-24","currency":"SGD","type":"dividend","dateTimestamp":1503331200000}],"@#url:\"https://hq.skytigris.cn/fundamental/dividend/history\",params:#symbol:\"M11.SI\",market:\"SI\",,,undefined,":[{"executeDate":"2017-08-22","recordDate":"2017-08-24","paymentDate":"2017-09-04","value":0.0025,"currency":"SGD"},{"executeDate":"2018-05-07","recordDate":"2018-05-09","paymentDate":"2018-05-23","value":0.0075,"currency":"SGD"},{"executeDate":"2019-04-03","recordDate":"2019-04-04","paymentDate":"2019-04-12","value":0.155,"currency":"SGD"},{"executeDate":"2019-07-15","recordDate":"2019-07-16","paymentDate":"2019-07-23","value":0.033,"currency":"SGD"},{"executeDate":"2020-12-30","recordDate":"2020-12-31","paymentDate":"2021-01-08","value":0.033,"currency":"SGD"}],"@#url:\"https://hq.skytigris.cn/fundamental/estimate/recommendation\",params:#symbol:\"M11.SI\",market:\"SI\",delay:false,,,undefined,":{},"@#url:\"https://hq.skytigris.cn/sistock/value_analysis/stock/M11.SI\",params:#withQuantilePoint:true,period:\"5year\",factor:\"peRate\",delay:false,algorithm:1,,,undefined,":{"brief":{"id":"M11.SI","date":"2025-07-17","current":-1.046798,"percent":0.59196,"low":-6.331907,"twenty":-4.774504,"median":-1.18809,"eighty":2.55175,"high":3.477011,"avg":-1.651897,"sd":2.972228,"marketCap":3616687},"quantilePoints":[{"date":"2020-07-24","current":0.550106,"twenty":-30.754618,"median":3.23535,"eighty":35.399397,"marketCap":22810684},{"date":"2020-07-30","current":0.521153,"twenty":-30.754618,"median":3.23535,"eighty":35.399397,"marketCap":21610122},{"date":"2020-08-07","current":-3.705191,"twenty":-30.754618,"median":3.23535,"eighty":35.399397,"marketCap":22090347},{"date":"2020-08-14","current":-3.664917,"twenty":-30.754618,"median":3.23535,"eighty":35.399397,"marketCap":21850234},{"date":"2020-08-21","current":-3.624643,"twenty":-30.754618,"median":3.23535,"eighty":35.399397,"marketCap":21610122},{"date":"2020-08-28","current":-3.705191,"twenty":-30.754618,"median":3.23535,"eighty":35.399397,"marketCap":22090347},{"date":"2020-09-04","current":-3.584369,"twenty":-30.754618,"median":3.23535,"eighty":35.399397,"marketCap":21370009},{"date":"2020-09-11","current":-3.987107,"twenty":-30.754618,"median":3.23535,"eighty":35.399397,"marketCap":23771134},{"date":"2020-09-18","current":-3.664917,"twenty":-30.754618,"median":3.23535,"eighty":35.399397,"marketCap":21850234},{"date":"2020-09-25","current":-3.946834,"twenty":-30.754618,"median":3.23535,"eighty":35.399397,"marketCap":23531022},{"date":"2020-10-02","current":-3.624643,"twenty":-30.754618,"median":3.23535,"eighty":35.399397,"marketCap":21610122},{"date":"2020-10-09","current":-3.705191,"twenty":-30.754618,"median":3.23535,"eighty":35.399397,"marketCap":22090347},{"date":"2020-10-16","current":-3.664917,"twenty":-30.754618,"median":3.23535,"eighty":35.399397,"marketCap":21850234},{"date":"2020-10-23","current":-3.624643,"twenty":-30.754618,"median":3.23535,"eighty":35.399397,"marketCap":21610122},{"date":"2020-10-30","current":-3.584369,"twenty":-30.754618,"median":3.23535,"eighty":35.399397,"marketCap":21370009},{"date":"2020-11-06","current":-3.826012,"twenty":-25.974287,"median":3.23535,"eighty":35.399397,"marketCap":22810684},{"date":"2020-11-13","current":-3.664917,"twenty":-25.28713,"median":3.23535,"eighty":35.399397,"marketCap":21850234},{"date":"2020-11-20","current":-3.826012,"twenty":-25.013756,"median":3.23535,"eighty":35.399397,"marketCap":22810684},{"date":"2020-11-27","current":-3.785738,"twenty":-24.603694,"median":3.23535,"eighty":35.399397,"marketCap":22570572},{"date":"2020-12-04","current":-3.785738,"twenty":-24.467007,"median":3.23535,"eighty":35.399397,"marketCap":22570572},{"date":"2020-12-11","current":-3.705191,"twenty":-22.963448,"median":3.23535,"eighty":35.399397,"marketCap":22090347},{"date":"2020-12-18","current":-3.866286,"twenty":-3.962943,"median":3.256064,"eighty":35.399397,"marketCap":23050797},{"date":"2020-12-23","current":-4.671762,"twenty":-3.930724,"median":3.276778,"eighty":35.399397,"marketCap":27853046},{"date":"2020-12-30","current":-3.262179,"twenty":-3.866286,"median":3.276778,"eighty":35.399397,"marketCap":19449110},{"date":"2021-01-08","current":-3.101084,"twenty":-3.866286,"median":3.280468,"eighty":35.399397,"marketCap":18488660},{"date":"2021-01-15","current":-2.980262,"twenty":-3.826012,"median":3.280468,"eighty":35.399397,"marketCap":17768322},{"date":"2021-01-22","current":-2.698345,"twenty":-3.801848,"median":3.280468,"eighty":35.399397,"marketCap":16087535},{"date":"2021-01-29","current":-2.698345,"twenty":-3.785738,"median":3.280468,"eighty":35.399397,"marketCap":16087535},{"date":"2021-02-05","current":-2.416429,"twenty":-3.745464,"median":3.293941,"eighty":35.399397,"marketCap":14406748},{"date":"2021-02-11","current":-2.376155,"twenty":-3.705191,"median":3.293941,"eighty":35.399397,"marketCap":14166635},{"date":"2021-02-19","current":-2.53725,"twenty":-3.705191,"median":3.306445,"eighty":35.399397,"marketCap":15127085},{"date":"2021-02-26","current":-2.416429,"twenty":-3.705191,"median":3.306445,"eighty":35.399397,"marketCap":14406748},{"date":"2021-03-05","current":2.831281,"twenty":-3.664917,"median":3.306445,"eighty":35.399397,"marketCap":13686410},{"date":"2021-03-11","current":2.980295,"twenty":-3.664917,"median":3.306445,"eighty":35.399397,"marketCap":14406748},{"date":"2021-03-19","current":3.079639,"twenty":-3.664917,"median":3.32802,"eighty":35.399397,"marketCap":14886973},{"date":"2021-03-25","current":3.327996,"twenty":-3.664917,"median":3.338795,"eighty":35.399397,"marketCap":16087535},{"date":"2021-04-01","current":3.029967,"twenty":-3.624643,"median":3.349595,"eighty":35.399397,"marketCap":14646860},{"date":"2021-04-09","current":3.12931,"twenty":-3.624643,"median":3.327996,"eighty":35.399397,"marketCap":15127085},{"date":"2021-04-16","current":3.029967,"twenty":-3.624643,"median":3.280468,"eighty":35.399397,"marketCap":14646860},{"date":"2021-04-23","current":3.029967,"twenty":-3.624643,"median":3.276778,"eighty":35.399397,"marketCap":14646860},{"date":"2021-04-30","current":3.079639,"twenty":-3.624643,"median":3.232968,"eighty":35.399397,"marketCap":14886973},{"date":"2021-05-07","current":3.029967,"twenty":-3.624643,"median":3.218852,"eighty":35.399397,"marketCap":14646860},{"date":"2021-05-14","current":2.781609,"twenty":-3.624643,"median":3.161819,"eighty":35.399397,"marketCap":13446298},{"date":"2021-05-21","current":3.029967,"twenty":-3.624643,"median":3.12931,"eighty":35.399397,"marketCap":14646860},{"date":"2021-05-28","current":2.930624,"twenty":-3.624643,"median":3.12931,"eighty":35.399397,"marketCap":14166635},{"date":"2021-06-04","current":3.178982,"twenty":-3.624643,"median":3.088289,"eighty":35.399397,"marketCap":15367198},{"date":"2021-06-10","current":3.178982,"twenty":-3.624643,"median":3.088289,"eighty":35.399397,"marketCap":15367198},{"date":"2021-06-18","current":3.12931,"twenty":-3.624643,"median":3.088289,"eighty":35.399397,"marketCap":15127085},{"date":"2021-06-25","current":3.079639,"twenty":-3.624643,"median":3.088289,"eighty":35.399397,"marketCap":14886973},{"date":"2021-07-01","current":3.029967,"twenty":-3.624643,"median":3.079639,"eighty":35.399397,"marketCap":14646860},{"date":"2021-07-09","current":3.036276,"twenty":-3.624643,"median":3.079639,"eighty":35.399397,"marketCap":14677360},{"date":"2021-07-16","current":3.036276,"twenty":-3.624643,"median":3.079639,"eighty":35.399397,"marketCap":14677360},{"date":"2021-07-23","current":3.036276,"twenty":-3.624643,"median":3.079639,"eighty":35.399397,"marketCap":14677360},{"date":"2021-07-29","current":3.036276,"twenty":-3.624643,"median":3.058326,"eighty":35.399397,"marketCap":14677360},{"date":"2021-08-06","current":2.595746,"twenty":-3.624643,"median":3.036276,"eighty":35.399397,"marketCap":14196135},{"date":"2021-08-13","current":2.55175,"twenty":-3.624643,"median":3.036276,"eighty":35.399397,"marketCap":13955523},{"date":"2021-08-20","current":2.55175,"twenty":-3.624643,"median":3.036276,"eighty":35.399397,"marketCap":13955523},{"date":"2021-08-27","current":2.595746,"twenty":-3.624643,"median":3.04696,"eighty":35.399397,"marketCap":14196135},{"date":"2021-09-03","current":2.507755,"twenty":-3.624643,"median":3.057645,"eighty":35.399397,"marketCap":13714910},{"date":"2021-09-10","current":2.639742,"twenty":-3.624643,"median":3.057645,"eighty":35.399397,"marketCap":14436748},{"date":"2021-09-17","current":2.727733,"twenty":-3.624643,"median":3.057645,"eighty":35.399397,"marketCap":14917973},{"date":"2021-09-24","current":2.683737,"twenty":-3.624643,"median":3.057645,"eighty":35.399397,"marketCap":14677360},{"date":"2021-10-01","current":2.683737,"twenty":-3.624643,"median":3.057986,"eighty":35.399397,"marketCap":14677360},{"date":"2021-10-08","current":2.727733,"twenty":-3.624643,"median":3.058326,"eighty":35.399397,"marketCap":14917973},{"date":"2021-10-15","current":2.727733,"twenty":-3.624643,"median":3.058326,"eighty":35.399397,"marketCap":14917973},{"date":"2021-10-21","current":2.639742,"twenty":-3.624643,"median":3.058326,"eighty":35.399397,"marketCap":14436748},{"date":"2021-10-29","current":2.727733,"twenty":-3.624643,"median":3.068982,"eighty":35.399397,"marketCap":14917973},{"date":"2021-11-05","current":2.815725,"twenty":-3.624643,"median":3.079639,"eighty":35.399397,"marketCap":15399198},{"date":"2021-11-12","current":2.639742,"twenty":-3.624643,"median":3.079639,"eighty":35.399397,"marketCap":14436748},{"date":"2021-11-19","current":2.639742,"twenty":-3.624643,"median":3.079639,"eighty":35.399397,"marketCap":14436748},{"date":"2021-11-26","current":2.595746,"twenty":-3.624643,"median":3.079639,"eighty":35.399397,"marketCap":14196135},{"date":"2021-12-03","current":2.595746,"twenty":-3.624643,"median":3.079639,"eighty":35.399397,"marketCap":14196135},{"date":"2021-12-10","current":2.55175,"twenty":-3.624643,"median":3.079639,"eighty":35.399397,"marketCap":13955523},{"date":"2021-12-17","current":2.55175,"twenty":-3.624643,"median":3.079639,"eighty":35.399397,"marketCap":13955523},{"date":"2021-12-24","current":2.55175,"twenty":-3.624643,"median":3.079639,"eighty":35.399397,"marketCap":13955523},{"date":"2021-12-31","current":2.771729,"twenty":-3.624643,"median":3.079639,"eighty":35.399397,"marketCap":15158585},{"date":"2022-01-07","current":2.771729,"twenty":-3.624643,"median":3.079639,"eighty":35.399397,"marketCap":15158585},{"date":"2022-01-14","current":2.683737,"twenty":-3.624643,"median":3.079639,"eighty":35.399397,"marketCap":14677360},{"date":"2022-01-21","current":2.507755,"twenty":-3.624643,"median":3.079639,"eighty":35.399397,"marketCap":13714910},{"date":"2022-01-28","current":2.375768,"twenty":-3.624643,"median":3.079639,"eighty":35.399397,"marketCap":12993073},{"date":"2022-02-04","current":2.375768,"twenty":-3.640753,"median":3.079639,"eighty":35.399397,"marketCap":12993073},{"date":"2022-02-11","current":2.55175,"twenty":-3.640753,"median":3.079639,"eighty":35.399397,"marketCap":13955523},{"date":"2022-02-18","current":2.771729,"twenty":-3.640753,"median":3.079639,"eighty":35.399397,"marketCap":15158585},{"date":"2022-02-25","current":2.507755,"twenty":-3.640753,"median":3.079639,"eighty":35.399397,"marketCap":13714910},{"date":"2022-03-04","current":-5.812898,"twenty":-3.664917,"median":3.079639,"eighty":35.399397,"marketCap":13474298},{"date":"2022-03-11","current":-5.501493,"twenty":-3.664917,"median":3.079639,"eighty":35.399397,"marketCap":12752460},{"date":"2022-03-18","current":-5.605295,"twenty":-3.664917,"median":3.079639,"eighty":35.399397,"marketCap":12993073},{"date":"2022-03-25","current":-5.605295,"twenty":-3.681027,"median":3.079639,"eighty":35.399397,"marketCap":12993073},{"date":"2022-04-01","current":-5.605295,"twenty":-3.705191,"median":3.079639,"eighty":35.399397,"marketCap":12993073},{"date":"2022-04-08","current":-6.228105,"twenty":-3.705191,"median":3.079639,"eighty":35.399397,"marketCap":14436748},{"date":"2022-04-14","current":-6.228105,"twenty":-3.7213,"median":3.079639,"eighty":35.399397,"marketCap":14436748},{"date":"2022-04-22","current":-6.020502,"twenty":-3.785738,"median":3.079639,"eighty":35.399397,"marketCap":13955523},{"date":"2022-04-29","current":-6.020502,"twenty":-3.785738,"median":3.079639,"eighty":35.399397,"marketCap":13955523},{"date":"2022-05-06","current":-5.812898,"twenty":-3.826012,"median":3.079639,"eighty":35.399397,"marketCap":13474298},{"date":"2022-05-13","current":-5.709096,"twenty":-3.826012,"median":3.036276,"eighty":35.399397,"marketCap":13233685},{"date":"2022-05-20","current":-5.709096,"twenty":-3.866286,"median":3.036276,"eighty":35.399397,"marketCap":13233685},{"date":"2022-05-27","current":-5.709096,"twenty":-3.866286,"median":3.029967,"eighty":35.399397,"marketCap":13233685},{"date":"2022-06-03","current":-5.709096,"twenty":-3.987107,"median":3.029967,"eighty":35.399397,"marketCap":13233685},{"date":"2022-06-10","current":-6.228105,"twenty":-4.837708,"median":3.029967,"eighty":35.399397,"marketCap":14436748},{"date":"2022-06-17","current":-6.228105,"twenty":-5.501493,"median":2.980295,"eighty":35.399397,"marketCap":14436748},{"date":"2022-06-24","current":-5.501493,"twenty":-5.522253,"median":2.980295,"eighty":35.399397,"marketCap":12752460},{"date":"2022-07-01","current":-5.397691,"twenty":-5.605295,"median":2.955459,"eighty":35.399397,"marketCap":12511848},{"date":"2022-07-08","current":-5.408908,"twenty":-5.605295,"median":2.930624,"eighty":35.399397,"marketCap":12537848},{"date":"2022-07-15","current":-5.408908,"twenty":-5.605295,"median":2.930624,"eighty":35.399397,"marketCap":12537848},{"date":"2022-07-22","current":-5.30489,"twenty":-5.605295,"median":2.880952,"eighty":35.399397,"marketCap":12296735},{"date":"2022-07-29","current":-5.30489,"twenty":-5.605295,"median":2.831281,"eighty":35.399397,"marketCap":12296735},{"date":"2022-08-05","current":-5.200873,"twenty":-5.605295,"median":2.771729,"eighty":35.399397,"marketCap":12055623},{"date":"2022-08-19","current":-5.06843,"twenty":-5.605295,"median":2.771729,"eighty":35.399397,"marketCap":11814511},{"date":"2022-09-12","current":-5.06843,"twenty":-5.605295,"median":2.771729,"eighty":35.399397,"marketCap":11814511},{"date":"2022-09-23","current":-5.06843,"twenty":-5.605295,"median":2.727733,"eighty":35.736608,"marketCap":11814511},{"date":"2022-09-30","current":-5.06843,"twenty":-5.605295,"median":2.727733,"eighty":35.736608,"marketCap":11814511},{"date":"2022-10-07","current":-5.06843,"twenty":-5.605295,"median":2.727733,"eighty":35.736608,"marketCap":11814511},{"date":"2022-10-14","current":-4.758118,"twenty":-5.605295,"median":2.683737,"eighty":35.736608,"marketCap":11091173},{"date":"2022-10-21","current":-4.758118,"twenty":-5.605295,"median":2.683737,"eighty":35.736608,"marketCap":11091173},{"date":"2022-10-28","current":-4.758118,"twenty":-5.605295,"median":2.683737,"eighty":35.736608,"marketCap":11091173},{"date":"2022-11-04","current":-4.758118,"twenty":-5.605295,"median":2.639742,"eighty":35.736608,"marketCap":11091173},{"date":"2022-11-11","current":-4.964993,"twenty":-5.605295,"median":2.639742,"eighty":35.399397,"marketCap":11573398},{"date":"2022-11-18","current":-4.758118,"twenty":-5.605295,"median":2.639742,"eighty":35.399397,"marketCap":11091173},{"date":"2022-11-25","current":-4.758118,"twenty":-5.605295,"median":2.595746,"eighty":35.399397,"marketCap":11091173},{"date":"2022-12-02","current":-4.758118,"twenty":-5.605295,"median":2.595746,"eighty":35.399397,"marketCap":11091173},{"date":"2022-12-09","current":-5.689054,"twenty":-5.605295,"median":2.595746,"eighty":35.399397,"marketCap":13261185},{"date":"2022-12-16","current":-5.689054,"twenty":-5.689054,"median":2.595746,"eighty":35.399397,"marketCap":13261185},{"date":"2022-12-23","current":-5.689054,"twenty":-5.689054,"median":2.55175,"eighty":35.399397,"marketCap":13261185},{"date":"2022-12-30","current":-5.689054,"twenty":-5.689054,"median":2.55175,"eighty":35.399397,"marketCap":13261185},{"date":"2023-01-06","current":-5.689054,"twenty":-5.689054,"median":2.55175,"eighty":35.399397,"marketCap":13261185},{"date":"2023-01-13","current":-5.689054,"twenty":-5.689054,"median":2.55175,"eighty":35.399397,"marketCap":13261185},{"date":"2023-01-20","current":-5.689054,"twenty":-5.689054,"median":2.529752,"eighty":35.378405,"marketCap":13261185},{"date":"2023-01-27","current":-4.964993,"twenty":-5.689054,"median":2.507755,"eighty":34.837502,"marketCap":11573398},{"date":"2023-02-03","current":-4.861556,"twenty":-5.689054,"median":2.507755,"eighty":34.837502,"marketCap":11332286},{"date":"2023-02-10","current":-4.861556,"twenty":-5.689054,"median":2.507755,"eighty":34.837502,"marketCap":11332286},{"date":"2023-02-17","current":-4.551243,"twenty":-5.689054,"median":2.375768,"eighty":34.837502,"marketCap":10608948},{"date":"2023-02-24","current":-4.447806,"twenty":-5.689054,"median":2.375768,"eighty":34.837502,"marketCap":10367836},{"date":"2023-03-03","current":-4.557481,"twenty":-5.689054,"median":0.550106,"eighty":34.837502,"marketCap":10126723},{"date":"2023-03-07","current":-4.557481,"twenty":-4.557481,"median":-4.557481,"eighty":-4.557481,"marketCap":10126723},{"date":"2023-03-17","current":-3.689389,"twenty":-5.689054,"median":0.521153,"eighty":34.275607,"marketCap":8197823},{"date":"2023-03-24","current":-3.689389,"twenty":-5.689054,"median":0.521153,"eighty":34.275607,"marketCap":8197823},{"date":"2023-03-31","current":-3.689389,"twenty":-5.689054,"median":0.515362,"eighty":34.275607,"marketCap":8197823},{"date":"2023-04-05","current":-3.363855,"twenty":-5.689054,"median":0.509572,"eighty":34.275607,"marketCap":7474486},{"date":"2023-04-14","current":-3.689389,"twenty":-5.701079,"median":0.509572,"eighty":33.167255,"marketCap":8197823},{"date":"2023-04-21","current":-5.317062,"twenty":-5.709096,"median":0.49799,"eighty":33.151816,"marketCap":11814511},{"date":"2023-04-28","current":-4.123435,"twenty":-5.709096,"median":0.49799,"eighty":32.261752,"marketCap":9162273},{"date":"2023-05-05","current":-4.340458,"twenty":-5.709096,"median":0.49799,"eighty":27.995723,"marketCap":9644498},{"date":"2023-05-12","current":-4.340458,"twenty":-5.709096,"median":0.4922,"eighty":23.325346,"marketCap":9644498},{"date":"2023-05-19","current":-4.340458,"twenty":-5.709096,"median":0.4922,"eighty":8.795329,"marketCap":9644498},{"date":"2023-05-26","current":-4.991527,"twenty":-5.709096,"median":0.4922,"eighty":8.595435,"marketCap":11091173},{"date":"2023-06-01","current":-4.340458,"twenty":-5.709096,"median":0.4922,"eighty":8.190527,"marketCap":9644498},{"date":"2023-06-16","current":-4.774504,"twenty":-5.709096,"median":0.486409,"eighty":8.163511,"marketCap":10608948},{"date":"2023-06-22","current":-3.580878,"twenty":-5.709096,"median":0.480619,"eighty":8.163511,"marketCap":7956711},{"date":"2023-06-28","current":-4.883016,"twenty":-5.709096,"median":0.474828,"eighty":8.163511,"marketCap":10850061},{"date":"2023-07-06","current":-4.774504,"twenty":-5.709096,"median":0.466143,"eighty":7.990758,"marketCap":10608948},{"date":"2023-07-13","current":-4.774504,"twenty":-5.709096,"median":-2.335881,"eighty":7.990758,"marketCap":10608948},{"date":"2023-07-21","current":-4.774504,"twenty":-5.709096,"median":-2.416429,"eighty":7.964401,"marketCap":10608948},{"date":"2023-07-24","current":-4.774504,"twenty":-5.709096,"median":-2.416429,"eighty":7.964401,"marketCap":10608948},{"date":"2023-08-04","current":-4.665993,"twenty":-5.709096,"median":-2.517113,"eighty":7.962676,"marketCap":10367836},{"date":"2023-09-25","current":-2.334551,"twenty":-5.709096,"median":-3.020536,"eighty":3.925686,"marketCap":6027811},{"date":"2023-10-09","current":-1.961023,"twenty":-5.759134,"median":-3.363855,"eighty":3.228653,"marketCap":5063361},{"date":"2023-10-16","current":-1.867641,"twenty":-5.792492,"median":-3.472366,"eighty":3.178982,"marketCap":4822249},{"date":"2023-10-30","current":-1.867641,"twenty":-5.812898,"median":-3.584369,"eighty":3.135826,"marketCap":4822249},{"date":"2023-11-27","current":-1.494113,"twenty":-5.812898,"median":-3.624643,"eighty":3.079639,"marketCap":3857799},{"date":"2024-01-15","current":-1.774259,"twenty":-5.9167,"median":-3.664917,"eighty":3.029967,"marketCap":4581136},{"date":"2024-01-22","current":-1.774259,"twenty":-5.9167,"median":-3.664917,"eighty":2.984019,"marketCap":4581136},{"date":"2024-03-15","current":-1.118203,"twenty":-6.020502,"median":-3.689389,"eighty":2.771729,"marketCap":3857799},{"date":"2024-03-22","current":-1.118203,"twenty":-6.020502,"median":-3.689389,"eighty":2.771729,"marketCap":3857799},{"date":"2024-03-28","current":-1.118203,"twenty":-6.020502,"median":-3.689389,"eighty":2.771729,"marketCap":3857799},{"date":"2024-04-05","current":-2.585844,"twenty":-6.020502,"median":-3.689389,"eighty":2.754131,"marketCap":8921161},{"date":"2024-04-12","current":-2.446068,"twenty":-6.020502,"median":-3.689389,"eighty":2.727733,"marketCap":8438936},{"date":"2024-04-19","current":-1.118203,"twenty":-6.020502,"median":-3.689389,"eighty":2.727733,"marketCap":3857799},{"date":"2024-04-26","current":-1.18809,"twenty":-6.020502,"median":-3.689389,"eighty":2.727733,"marketCap":4098911},{"date":"2024-05-03","current":-1.18809,"twenty":-6.020502,"median":-3.689389,"eighty":2.683737,"marketCap":4098911},{"date":"2024-05-10","current":-1.257978,"twenty":-6.020502,"median":-3.689389,"eighty":2.683737,"marketCap":4340024},{"date":"2024-05-17","current":-1.607416,"twenty":-6.020502,"median":-3.689389,"eighty":2.683737,"marketCap":5545586},{"date":"2024-05-24","current":-1.257978,"twenty":-6.020502,"median":-3.689389,"eighty":2.639742,"marketCap":4340024},{"date":"2024-05-31","current":-1.18809,"twenty":-6.020502,"median":-3.689389,"eighty":2.639742,"marketCap":4098911},{"date":"2024-06-07","current":-1.18809,"twenty":-6.020502,"median":-3.689389,"eighty":2.639742,"marketCap":4098911},{"date":"2024-06-14","current":-1.18809,"twenty":-6.020502,"median":-3.689389,"eighty":2.595746,"marketCap":4098911},{"date":"2024-06-21","current":-1.18809,"twenty":-6.020502,"median":-3.689389,"eighty":2.595746,"marketCap":4098911},{"date":"2024-06-28","current":-1.257978,"twenty":-6.020502,"median":-3.689389,"eighty":2.595746,"marketCap":4340024},{"date":"2024-07-05","current":-1.327866,"twenty":-6.020502,"median":-3.689389,"eighty":2.595746,"marketCap":4581136},{"date":"2024-07-12","current":-1.048315,"twenty":-6.020502,"median":-3.689389,"eighty":2.55175,"marketCap":3616687},{"date":"2024-07-19","current":-1.048315,"twenty":-6.020502,"median":-3.689389,"eighty":2.55175,"marketCap":3616687},{"date":"2024-07-26","current":-1.048315,"twenty":-6.020502,"median":-3.689389,"eighty":2.55175,"marketCap":3616687},{"date":"2024-08-02","current":-1.048315,"twenty":-6.020502,"median":-3.689389,"eighty":2.55175,"marketCap":3616687},{"date":"2024-08-08","current":-0.872016,"twenty":-6.020502,"median":-3.689389,"eighty":2.55175,"marketCap":3375574},{"date":"2024-08-16","current":-1.494885,"twenty":-5.9167,"median":-3.664917,"eighty":2.55175,"marketCap":5786699},{"date":"2024-08-23","current":-0.872016,"twenty":-5.812898,"median":-3.664917,"eighty":2.55175,"marketCap":3375574},{"date":"2024-08-30","current":-0.872016,"twenty":-5.812898,"median":-3.664917,"eighty":2.55175,"marketCap":3375574},{"date":"2024-09-06","current":-1.308024,"twenty":-5.709096,"median":-3.664917,"eighty":2.55175,"marketCap":5063361},{"date":"2024-09-13","current":-0.809729,"twenty":-5.709096,"median":-3.624643,"eighty":2.55175,"marketCap":3134462},{"date":"2024-09-20","current":-1.121164,"twenty":-5.709096,"median":-3.624643,"eighty":2.55175,"marketCap":4340024},{"date":"2024-09-27","current":-1.058877,"twenty":-5.689054,"median":-3.624643,"eighty":2.55175,"marketCap":4098911},{"date":"2024-10-04","current":-1.058877,"twenty":-5.689054,"median":-3.584369,"eighty":2.55175,"marketCap":4098911},{"date":"2024-10-11","current":-1.058877,"twenty":-5.689054,"median":-3.584369,"eighty":2.55175,"marketCap":4098911},{"date":"2024-10-18","current":-1.058877,"twenty":-5.689054,"median":-3.363855,"eighty":2.55175,"marketCap":4098911},{"date":"2024-10-25","current":-0.99659,"twenty":-5.689054,"median":-3.06081,"eighty":2.55175,"marketCap":3857799},{"date":"2024-11-01","current":-0.99659,"twenty":-5.689054,"median":-2.839304,"eighty":2.55175,"marketCap":3857799},{"date":"2024-11-08","current":-0.99659,"twenty":-5.605295,"median":-2.738619,"eighty":2.55175,"marketCap":3857799},{"date":"2024-11-15","current":-0.872016,"twenty":-5.605295,"median":-2.678209,"eighty":2.55175,"marketCap":3375574},{"date":"2024-11-22","current":-0.872016,"twenty":-5.605295,"median":-2.517113,"eighty":2.55175,"marketCap":3375574},{"date":"2024-11-29","current":-0.872016,"twenty":-5.501493,"median":-2.446068,"eighty":2.55175,"marketCap":3375574},{"date":"2024-12-06","current":-0.872016,"twenty":-5.501493,"median":-2.431248,"eighty":2.55175,"marketCap":3375574},{"date":"2024-12-13","current":-0.872016,"twenty":-5.408908,"median":-2.376155,"eighty":2.55175,"marketCap":3375574},{"date":"2024-12-20","current":-0.872016,"twenty":-5.404421,"median":-1.914332,"eighty":2.55175,"marketCap":3375574},{"date":"2024-12-27","current":-0.872016,"twenty":-5.365439,"median":-1.760725,"eighty":2.55175,"marketCap":3375574},{"date":"2025-01-03","current":-0.872016,"twenty":-5.30489,"median":-1.55115,"eighty":2.55175,"marketCap":3375574},{"date":"2025-01-10","current":-0.872016,"twenty":-5.30489,"median":-1.327866,"eighty":2.55175,"marketCap":3375574},{"date":"2025-01-17","current":-0.872016,"twenty":-5.30489,"median":-1.308024,"eighty":2.55175,"marketCap":3375574},{"date":"2025-01-24","current":-0.809729,"twenty":-5.20855,"median":-1.257978,"eighty":2.55175,"marketCap":3134462},{"date":"2025-01-31","current":-0.809729,"twenty":-5.06843,"median":-1.257978,"eighty":2.55175,"marketCap":3134462},{"date":"2025-02-07","current":-1.557172,"twenty":-5.06843,"median":-1.257978,"eighty":2.55175,"marketCap":6027811},{"date":"2025-02-14","current":-1.557172,"twenty":-5.06843,"median":-1.257978,"eighty":2.55175,"marketCap":6027811},{"date":"2025-02-21","current":-1.557172,"twenty":-5.06843,"median":-1.257978,"eighty":2.55175,"marketCap":6027811},{"date":"2025-02-28","current":-1.186371,"twenty":-4.98622,"median":-1.257978,"eighty":2.55175,"marketCap":4098911},{"date":"2025-03-07","current":-1.186371,"twenty":-4.964993,"median":-1.257978,"eighty":2.55175,"marketCap":4098911},{"date":"2025-03-14","current":-1.186371,"twenty":-4.964993,"median":-1.18809,"eighty":2.55175,"marketCap":4098911},{"date":"2025-03-21","current":-1.186371,"twenty":-4.861556,"median":-1.18809,"eighty":2.55175,"marketCap":4098911},{"date":"2025-03-28","current":-1.046798,"twenty":-4.861556,"median":-1.18809,"eighty":2.55175,"marketCap":3616687},{"date":"2025-04-04","current":-1.046798,"twenty":-4.791914,"median":-1.18809,"eighty":2.55175,"marketCap":3616687},{"date":"2025-04-11","current":-0.767652,"twenty":-4.774504,"median":-1.186371,"eighty":2.55175,"marketCap":2652237},{"date":"2025-04-17","current":-0.767652,"twenty":-4.774504,"median":-1.186371,"eighty":2.55175,"marketCap":2652237},{"date":"2025-04-25","current":-0.767652,"twenty":-4.774504,"median":-1.186371,"eighty":2.55175,"marketCap":2652237},{"date":"2025-05-02","current":-0.837438,"twenty":-4.774504,"median":-1.186371,"eighty":2.55175,"marketCap":2893349},{"date":"2025-05-09","current":-0.767652,"twenty":-4.774504,"median":-1.186371,"eighty":2.55175,"marketCap":2652237},{"date":"2025-05-16","current":-0.767652,"twenty":-4.774504,"median":-1.186371,"eighty":2.55175,"marketCap":2652237},{"date":"2025-05-23","current":-0.767652,"twenty":-4.774504,"median":-1.186371,"eighty":2.55175,"marketCap":2652237},{"date":"2025-05-30","current":-0.837438,"twenty":-4.774504,"median":-1.186371,"eighty":2.55175,"marketCap":2893349},{"date":"2025-06-06","current":-0.907225,"twenty":-4.774504,"median":-1.186371,"eighty":2.55175,"marketCap":3134462},{"date":"2025-06-13","current":-0.907225,"twenty":-4.774504,"median":-1.186371,"eighty":2.55175,"marketCap":3134462},{"date":"2025-06-20","current":-0.907225,"twenty":-4.774504,"median":-1.186371,"eighty":2.55175,"marketCap":3134462},{"date":"2025-06-27","current":-1.60509,"twenty":-4.774504,"median":-1.187231,"eighty":2.55175,"marketCap":5545586},{"date":"2025-07-04","current":-1.046798,"twenty":-4.774504,"median":-1.18809,"eighty":2.55175,"marketCap":3616687},{"date":"2025-07-11","current":-0.977011,"twenty":-4.774504,"median":-1.18809,"eighty":2.55175,"marketCap":3375574},{"date":"2025-07-17","current":-1.046798,"twenty":-4.774504,"median":-1.18809,"eighty":2.55175,"marketCap":3616687}],"updateTime":1752877717454}}}