ENG/中
老虎证券
市场
行情
24/7新闻
产品
Cash Boost账户
期权
A股通
港股
固定票息票据
美股
ETF
基金超市
美国国债
新加坡股
期货
Tiger BOSS Debit Card
老虎钱袋子
功能
经纪人
定投
CPF/SRS 投资
专栏
美股碎股
TigerAI
费用
综合账户
股票与ETF
期权、窝轮与牛熊证
期货
债券
基金超市
Cash Boost
股票与ETF
融资利率
活动
帮助
账户操作
如何开户
开户文件
账户类型
资金与转仓
入金
DDA快捷入金
出金
转入股票
转出股票
货币兑换
产品与交易
可交易产品
订单类型
交易规则
申报
融资融券
保证金与杠杆
风险管理
做空风险
基金超市
基金开户与交易
Cash Boost账户
Cash Boost 账户FAQ
如何开通 Cash Boost 账户
如何用Cash Boost 账户交易
如何绑定CDP证券账户
Tiger Boss Debit Card
常见问题
费用说明
如何充值
如何使用我的Debit card
账单报表
账单报表
股息(分红)
机构
Tiger Fund Management
机构服务
财富及资产管理人
自营交易机构
介绍经纪商
三方服务商
老虎API平台
登录
立即注册
Toggle
美股
详情
本页面由Tiger Trade Technology Pte. Ltd.提供服务
美国钢铁
54.84
0.0000
成交量:
- -
成交额:
- -
市值:
124.17亿
市盈率:
128.07
高:
54.84
开:
54.84
低:
54.84
收:
54.84
52周最高:
54.91
52周最低:
34.17
股本:
2.26亿
流通股本:
2.04亿
量比:
- -
换手率:
- -
股息:
0.20
股息率:
0.36%
每股收益(TTM):
0.4282
每股收益(LYR):
1.71
净资产收益率:
0.86%
总资产收益率:
-0.06%
市净率:
1.10
市盈率(LYR):
32.11
数据加载中...
总览
公司
新闻资讯
公告
Nasus Pharma完成1500万美元私募配售定价 机构投资者溢价认购
投资观察
·
4小时前
中加基金配置周报|特朗普提名美联储新任主席,商品价格大幅波动
新浪基金
·
02/03
美国钢铁工人联合会:工会将继续与马拉松石油(MRO.US)就到期合同进行谈判。
格隆汇
·
02/01
莫迪盟友提议禁止印度青少年使用社交媒体,引发全球热议
路透中文
·
01/31
股债与金属齐跌! 市场用抛售回应沃什提名传闻 开始定价“更鹰派的下任美联储主席”
智通财经
·
01/30
RootData 透明度警报:Netswap、Hydranet、 Ubeswap 等项目缺失核心信息
链捕手
·
01/29
经济顾问称,印度应考虑对社交媒体的访问设置年龄限制
路透中文
·
01/29
杨植麟亲自发布Kimi K2.5开源新王:指挥“智能体大军”,效率暴涨450%
智东西
·
01/27
特朗普想“要”什么?
格隆汇
·
01/26
涨幅远超芯片和Mag 7,全球矿业股成为基金经理“头号配置目标”
华尔街见闻
·
01/25
RootData 透明度警报:ByteNova、Endless、Ark of Panda、Chainge 等项目缺失核心信息
链捕手
·
01/23
海外人士:用“韧性”概括2025年中国经济表现最为贴切
北京日报客户端
·
01/21
从人工规则到AI猜心:X新算法正在接管你的每一次刷新
BitPush
·
01/20
美股期货集体走低 机构:风格切换成美股牛市关键变量
华尔街见闻
·
01/20
摩根资产管理李德辉:景气度与估值较为匹配,重点关注光模块、锂电、有色、机械、半导体五大方向
中证金牛座
·
01/16
密歇根州州长称北美自由贸易协定对汽车生产至关重要
路透中文
·
01/16
RootData透明度警报:Geeq、Synthesys、Rubix、Waterfall Network 等项目缺失核心信息
链捕手
·
01/14
RootData 透明度警报:Only Layer、Reltime、APX Lending 等项目缺失核心信息
BitPush
·
01/13
特朗普政府1.5亿美元入股ATALCO,布局关键矿物镓供应
智通财经网
·
01/12
RootData透明度警报:CureX、Blocktrade、BETRMINT、ABCC 等项目缺失核心信息
链捕手
·
01/12
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/X/news"},"companyName":"老虎证券"},"pageData":{"isMobile":false,"isTiger":false,"isTTM":true,"region":"SGP","license":"TBSG","edition":"fundamental","symbol":"X","isAnalysisPage":false},"__swrFallback__":{"@#url:\"https://hq.skytigris.cn/stock_info/detail/global\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"X\",,,,,undefined,":{"symbol":"X","market":"US","secType":"STK","nameCN":"美国钢铁","latestPrice":54.84,"timestamp":1770757200000,"preClose":54.84,"halted":0,"volume":0,"delay":0,"changeRate":0,"floatShares":204148927,"shares":226419128,"eps":0.428191,"marketStatus":"未开盘","change":0,"latestTime":"02-10 16:00:00 EST","open":54.84,"high":54.84,"low":54.84,"amount":0,"amplitude":0,"askPrice":0,"askSize":0,"bidPrice":0,"bidSize":0,"shortable":3,"etf":0,"ttmEps":0.428191,"tradingStatus":0,"nextMarketStatus":{"tag":"盘前交易","tradingStatus":1,"beginTime":1770800400000},"marketStatusCode":0,"adr":0,"adrRate":0,"exchange":"NYSE","adjPreClose":54.84,"dividendRate":0.003647,"volumeRatio":0,"impliedVol":0.0929,"impliedVolPercentile":0.2478},"@#url:\"https://hq.skytigris.cn/stock_info/fundamental/all\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"X\",,,,,undefined,":{"symbol":"X","floatShares":204148927,"roa":"-0.06%","roe":"0.86%","lyrEps":1.708055,"shares":226419128,"dividePrice":0.2,"high":54.84,"amplitude":0,"preClose":54.84,"low":54.84,"week52Low":34.17,"pbRate":"1.10","psRate":"0.82","week52High":54.91,"institutionHeld":0.9269,"latestPrice":54.84,"eps":0.428191,"divideRate":0.003647,"volume":0,"delay":0,"ttmEps":0.428191,"open":54.84,"prevYearClose":54.84,"prevWeekClose":54.84,"prevMonthClose":54.84,"prevQuarterClose":54.84,"fiveDayClose":54.84,"twentyDayClose":54.84,"sixtyDayClose":54.84},"@#url:\"https://hq.skytigris.cn/fundamental/corporate_actions/details/X\",params:#limit:5,,,undefined,":[{"date":"2025-05-12","symbol":"X","amount":0.05,"announcedDate":null,"type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2025-05-12","defaultRemindTime":1747056600000,"name":"美国钢铁","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2025-06-11","payableDate":"2025-05-12","currency":"USD","dateTimestamp":1747022400000,"payDate":"2025-06-11"},{"market":"US","date":"2025-05-01","symbol":"X","fiscalQuarterEnding":"2025/03","expectedEps":-0.53,"name":null,"time":"盘后","type":"earning","dateTimestamp":1746072000000,"reportTimeType":"post","actualEps":-0.44},{"date":"2025-02-10","symbol":"X","amount":0.05,"announcedDate":null,"type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2025-02-10","defaultRemindTime":1739197800000,"name":"美国钢铁","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2025-03-12","payableDate":"2025-02-10","currency":"USD","dateTimestamp":1739163600000,"payDate":"2025-03-12"},{"market":"US","date":"2025-01-30","symbol":"X","fiscalQuarterEnding":"2024/12","expectedEps":-0.29,"name":null,"time":"盘后","type":"earning","dateTimestamp":1738213200000,"reportTimeType":"post","actualEps":-0.18},{"date":"2024-11-08","symbol":"X","amount":0.05,"announcedDate":null,"type":"dividend","lastAmount":null,"market":"US","newRecordDate":"2024-11-11","defaultRemindTime":1731076200000,"name":"美国钢铁","lastCurrency":null,"lastExecuteDate":null,"recordDate":"2024-12-11","payableDate":"2024-11-11","currency":"USD","dateTimestamp":1731042000000,"payDate":"2024-12-11"}],"@#url:\"https://hq.skytigris.cn/fundamental/dividend/history\",params:#symbol:\"X\",market:\"US\",,,undefined,":[{"executeDate":"2017-02-08","recordDate":"2017-02-10","paymentDate":"2017-03-10","value":0.05,"currency":"USD"},{"executeDate":"2017-05-08","recordDate":"2017-05-10","paymentDate":"2017-06-09","value":0.05,"currency":"USD"},{"executeDate":"2017-08-07","recordDate":"2017-08-09","paymentDate":"2017-09-08","value":0.05,"currency":"USD"},{"executeDate":"2017-11-09","recordDate":"2017-11-10","paymentDate":"2017-12-08","value":0.05,"currency":"USD"},{"executeDate":"2018-02-08","recordDate":"2018-02-09","paymentDate":"2018-03-08","value":0.05,"currency":"USD"}],"@#url:\"https://hq.skytigris.cn/fundamental/estimate/recommendation\",params:#symbol:\"X\",market:\"US\",delay:false,,,undefined,":{"strongBuy":0,"buy":0.1667,"hold":0.6667,"sell":0.0833,"strongSell":0.0833,"meanLabel":"HOLD","meanPercent":0.6667,"analysts":12,"updateTime":1749096000000},"@#url:\"https://hq.skytigris.cn/value_analysis/stock/X\",params:#withQuantilePoint:true,period:\"5year\",factor:\"peRate\",delay:false,algorithm:1,,,undefined,":{"brief":{"id":"X","date":"2025-06-18","current":128.073687,"percent":0.999188,"low":-11.374733,"twenty":-0.995876,"median":2.34999,"eighty":10.66507,"high":128.031847,"avg":7.633823,"sd":19.131838,"marketCap":12416824979},"quantilePoints":[{"date":"2021-02-12","current":-3.717413,"twenty":-4.210118,"median":-1.123637,"eighty":9.037859,"marketCap":4330785607},{"date":"2021-02-19","current":-4.129628,"twenty":-4.210118,"median":-1.136367,"eighty":8.739291,"marketCap":4811016204},{"date":"2021-02-26","current":-3.832018,"twenty":-4.258755,"median":-1.15119,"eighty":8.19832,"marketCap":4464300511},{"date":"2021-03-05","current":-4.187304,"twenty":-4.325727,"median":-1.176782,"eighty":7.205112,"marketCap":4878209168},{"date":"2021-03-12","current":-5.576368,"twenty":-4.812516,"median":-1.198053,"eighty":7.073071,"marketCap":6496469230},{"date":"2021-03-19","current":-5.170311,"twenty":-5.214608,"median":-1.222894,"eighty":6.684743,"marketCap":6023412306},{"date":"2021-03-26","current":-5.248754,"twenty":-5.239525,"median":-1.260696,"eighty":6.057805,"marketCap":6114798303},{"date":"2021-04-01","current":-5.767861,"twenty":-5.691264,"median":-1.275838,"eighty":5.808277,"marketCap":6719558575},{"date":"2021-04-09","current":-5.080332,"twenty":-5.750788,"median":-1.285347,"eighty":5.534316,"marketCap":5918587192},{"date":"2021-04-16","current":-5.230297,"twenty":-5.750788,"median":-1.29994,"eighty":5.415791,"marketCap":6093295715},{"date":"2021-04-23","current":-5.47024,"twenty":-5.750788,"median":-1.340818,"eighty":5.376802,"marketCap":6372829352},{"date":"2021-04-30","current":-9.084784,"twenty":-5.704646,"median":-1.351912,"eighty":5.356528,"marketCap":6204907203},{"date":"2021-05-07","current":-10.995707,"twenty":-5.704646,"median":-1.351912,"eighty":5.356528,"marketCap":7510068040},{"date":"2021-05-14","current":-10.067883,"twenty":-5.704646,"median":-1.351912,"eighty":5.356528,"marketCap":6876363915},{"date":"2021-05-21","current":-9.455913,"twenty":-5.704646,"median":-1.351912,"eighty":5.356528,"marketCap":6458388853},{"date":"2021-05-28","current":-10.237655,"twenty":-5.704646,"median":-1.351912,"eighty":5.356528,"marketCap":6992318286},{"date":"2021-06-04","current":-10.367945,"twenty":-5.704646,"median":-1.351912,"eighty":5.356528,"marketCap":7081306525},{"date":"2021-06-11","current":-11.315511,"twenty":-5.704646,"median":-1.351912,"eighty":5.356528,"marketCap":7728493717},{"date":"2021-06-18","current":-8.966338,"twenty":-5.704646,"median":-1.351912,"eighty":5.356528,"marketCap":6124008804},{"date":"2021-06-25","current":-9.33352,"twenty":-5.704646,"median":-1.351912,"eighty":5.356528,"marketCap":6374793841},{"date":"2021-07-02","current":-9.511188,"twenty":-5.704646,"median":-1.351912,"eighty":5.356528,"marketCap":6496141439},{"date":"2021-07-09","current":-9.688857,"twenty":-5.704646,"median":-1.351912,"eighty":5.356528,"marketCap":6617489038},{"date":"2021-07-16","current":-8.642586,"twenty":-5.704646,"median":-1.351912,"eighty":5.356528,"marketCap":5902886513},{"date":"2021-07-23","current":-9.132162,"twenty":-5.704646,"median":-1.351912,"eighty":5.356528,"marketCap":6237266562},{"date":"2021-07-30","current":7.791945,"twenty":-5.569908,"median":-1.340818,"eighty":5.376802,"marketCap":7153005248},{"date":"2021-08-06","current":7.624218,"twenty":-5.425943,"median":-1.29994,"eighty":5.415791,"marketCap":6999031948},{"date":"2021-08-13","current":8.527589,"twenty":-5.24737,"median":-1.285347,"eighty":5.534316,"marketCap":7828326741},{"date":"2021-08-20","current":7.947901,"twenty":-5.166579,"median":-1.277423,"eighty":5.705347,"marketCap":7296173404},{"date":"2021-08-27","current":8.127399,"twenty":-5.069719,"median":-1.255234,"eighty":6.071321,"marketCap":7460951849},{"date":"2021-09-03","current":7.715438,"twenty":-4.909142,"median":-1.219585,"eighty":6.775717,"marketCap":7082771813},{"date":"2021-09-10","current":7.62716,"twenty":-4.734149,"median":-1.202078,"eighty":7.070991,"marketCap":7001733234},{"date":"2021-09-17","current":6.873861,"twenty":-4.342338,"median":-1.176782,"eighty":7.19623,"marketCap":6310204025},{"date":"2021-09-24","current":6.429531,"twenty":-4.218719,"median":-1.15237,"eighty":7.19623,"marketCap":5902309844},{"date":"2021-10-01","current":6.391278,"twenty":-4.180836,"median":-1.138273,"eighty":7.19623,"marketCap":5867193126},{"date":"2021-10-08","current":6.091135,"twenty":-4.081511,"median":-1.123,"eighty":7.19623,"marketCap":5591661957},{"date":"2021-10-15","current":6.506038,"twenty":-3.974806,"median":-1.074008,"eighty":7.19623,"marketCap":5972543279},{"date":"2021-10-22","current":6.732617,"twenty":-3.817896,"median":-1.036469,"eighty":7.19623,"marketCap":6180542299},{"date":"2021-10-29","current":2.261079,"twenty":-3.749593,"median":-1.00911,"eighty":7.200434,"marketCap":7131442615},{"date":"2021-11-05","current":2.242229,"twenty":-3.705164,"median":-1.001475,"eighty":7.200434,"marketCap":7071991407},{"date":"2021-11-12","current":2.261936,"twenty":-3.548463,"median":-0.99384,"eighty":7.200434,"marketCap":7134144943},{"date":"2021-11-19","current":2.100858,"twenty":-3.433386,"median":-0.977297,"eighty":7.200434,"marketCap":6626107348},{"date":"2021-11-26","current":2.079439,"twenty":-3.375415,"median":-0.972207,"eighty":7.200434,"marketCap":6558549158},{"date":"2021-12-03","current":1.933784,"twenty":-3.290325,"median":-0.949301,"eighty":7.200434,"marketCap":6099153460},{"date":"2021-12-10","current":1.947492,"twenty":-3.251226,"median":-0.93647,"eighty":7.200434,"marketCap":6142390702},{"date":"2021-12-17","current":1.97748,"twenty":-3.216894,"median":-0.916216,"eighty":7.200434,"marketCap":6236972170},{"date":"2021-12-23","current":1.983478,"twenty":-2.919122,"median":-0.904763,"eighty":7.200434,"marketCap":6255888463},{"date":"2021-12-31","current":2.040026,"twenty":-2.850894,"median":1.722724,"eighty":7.200434,"marketCap":6434242087},{"date":"2022-01-07","current":2.176256,"twenty":-2.802514,"median":1.806821,"eighty":7.198874,"marketCap":6863912180},{"date":"2022-01-14","current":2.175399,"twenty":-2.775843,"median":1.82501,"eighty":7.198874,"marketCap":6861209852},{"date":"2022-01-21","current":1.649328,"twenty":-2.753514,"median":1.831456,"eighty":7.198874,"marketCap":5201980687},{"date":"2022-01-28","current":1.265057,"twenty":-2.723742,"median":1.831456,"eighty":7.198874,"marketCap":5280348189},{"date":"2022-02-04","current":1.437271,"twenty":-2.670033,"median":1.831456,"eighty":7.198874,"marketCap":5999167338},{"date":"2022-02-11","current":1.480316,"twenty":-2.646869,"median":1.831456,"eighty":7.198874,"marketCap":6178837507},{"date":"2022-02-18","current":1.505946,"twenty":-2.615818,"median":1.831456,"eighty":7.198874,"marketCap":6285819069},{"date":"2022-02-25","current":1.682234,"twenty":-2.595763,"median":1.831456,"eighty":7.198874,"marketCap":7021643468},{"date":"2022-03-04","current":1.964169,"twenty":-2.579016,"median":1.845048,"eighty":7.198874,"marketCap":8198440645},{"date":"2022-03-11","current":2.080974,"twenty":-2.548145,"median":1.874559,"eighty":7.198874,"marketCap":8685985949},{"date":"2022-03-18","current":2.057256,"twenty":-2.509134,"median":1.886672,"eighty":7.198874,"marketCap":8586985510},{"date":"2022-03-25","current":2.399924,"twenty":-2.495884,"median":1.901176,"eighty":7.198874,"marketCap":10017281336},{"date":"2022-04-01","current":2.361225,"twenty":-2.468625,"median":1.915554,"eighty":7.198874,"marketCap":9855754303},{"date":"2022-04-08","current":2.243882,"twenty":-2.456438,"median":1.925467,"eighty":7.198874,"marketCap":9365962654},{"date":"2022-04-14","current":2.311916,"twenty":-2.445848,"median":1.935294,"eighty":7.198874,"marketCap":9649937599},{"date":"2022-04-22","current":2.096578,"twenty":-2.428998,"median":1.940214,"eighty":7.198874,"marketCap":8751117818},{"date":"2022-04-29","current":1.600556,"twenty":-2.413607,"median":1.946388,"eighty":7.198874,"marketCap":7946759960},{"date":"2022-05-06","current":1.428899,"twenty":-2.413607,"median":1.946388,"eighty":7.198874,"marketCap":7094483638},{"date":"2022-05-13","current":1.280865,"twenty":-2.413607,"median":1.946388,"eighty":7.198874,"marketCap":6359493048},{"date":"2022-05-20","current":1.248843,"twenty":-2.413607,"median":1.946388,"eighty":7.198874,"marketCap":6200505722},{"date":"2022-05-27","current":1.395303,"twenty":-2.413607,"median":1.946388,"eighty":7.198874,"marketCap":6927677263},{"date":"2022-06-03","current":1.309212,"twenty":-2.413607,"median":1.946388,"eighty":7.198874,"marketCap":6500235927},{"date":"2022-06-10","current":1.162752,"twenty":-2.413607,"median":1.946388,"eighty":7.198874,"marketCap":5773064386},{"date":"2022-06-17","current":1.044115,"twenty":-2.413607,"median":1.946388,"eighty":7.198874,"marketCap":5184029374},{"date":"2022-06-24","current":1.04149,"twenty":-2.415459,"median":1.947492,"eighty":7.200434,"marketCap":5170997626},{"date":"2022-07-01","current":0.940176,"twenty":-2.415459,"median":1.947492,"eighty":7.200434,"marketCap":4667972151},{"date":"2022-07-08","current":0.924952,"twenty":-2.415459,"median":1.947492,"eighty":7.200434,"marketCap":4592388012},{"date":"2022-07-15","current":0.930727,"twenty":-2.415459,"median":1.947492,"eighty":7.200434,"marketCap":4621057858},{"date":"2022-07-22","current":1.03729,"twenty":-2.415459,"median":1.947492,"eighty":7.200434,"marketCap":5150146829},{"date":"2022-07-29","current":1.137785,"twenty":-2.408978,"median":1.947492,"eighty":7.200434,"marketCap":5610418455},{"date":"2022-08-05","current":1.121909,"twenty":-2.394482,"median":1.947492,"eighty":7.200434,"marketCap":5532133546},{"date":"2022-08-12","current":1.21476,"twenty":-2.263301,"median":1.947492,"eighty":7.200434,"marketCap":5989981649},{"date":"2022-08-19","current":1.113249,"twenty":-2.210366,"median":1.947492,"eighty":7.200434,"marketCap":5489432687},{"date":"2022-08-26","current":1.220052,"twenty":-2.156254,"median":1.947492,"eighty":7.200434,"marketCap":6016076618},{"date":"2022-09-02","current":1.044453,"twenty":-2.132874,"median":1.947492,"eighty":7.200434,"marketCap":5150198083},{"date":"2022-09-09","current":1.213317,"twenty":-2.061434,"median":1.947492,"eighty":7.200434,"marketCap":5982864839},{"date":"2022-09-16","current":0.968921,"twenty":-2.007647,"median":1.947492,"eighty":7.200434,"marketCap":4777751699},{"date":"2022-09-23","current":0.894352,"twenty":-1.969243,"median":1.947492,"eighty":7.200434,"marketCap":4410049855},{"date":"2022-09-30","current":0.871741,"twenty":-1.916729,"median":1.947492,"eighty":7.200434,"marketCap":4298553167},{"date":"2022-10-07","current":0.904936,"twenty":-1.838667,"median":1.947492,"eighty":7.200434,"marketCap":4462239794},{"date":"2022-10-14","current":0.90686,"twenty":-1.810023,"median":1.947492,"eighty":7.200434,"marketCap":4471728874},{"date":"2022-10-21","current":1.041567,"twenty":-1.766232,"median":1.947492,"eighty":7.200434,"marketCap":5135964463},{"date":"2022-10-28","current":1.40534,"twenty":-1.728355,"median":1.947492,"eighty":7.200434,"marketCap":4804856041},{"date":"2022-11-04","current":1.412877,"twenty":-1.674932,"median":1.947492,"eighty":7.200434,"marketCap":4830625625},{"date":"2022-11-11","current":1.635566,"twenty":-1.654368,"median":1.947492,"eighty":7.200434,"marketCap":5591999693},{"date":"2022-11-18","current":1.61501,"twenty":-1.642684,"median":1.947492,"eighty":7.200434,"marketCap":5521719010},{"date":"2022-11-25","current":1.771235,"twenty":-1.626431,"median":1.947492,"eighty":7.200434,"marketCap":6055852202},{"date":"2022-12-02","current":1.852773,"twenty":-1.608969,"median":1.947492,"eighty":7.200434,"marketCap":6334632245},{"date":"2022-12-09","current":1.741086,"twenty":-1.581611,"median":1.947492,"eighty":7.200434,"marketCap":5952773867},{"date":"2022-12-16","current":1.712993,"twenty":-1.548986,"median":1.947492,"eighty":7.200434,"marketCap":5856723600},{"date":"2022-12-23","current":1.778772,"twenty":-1.501064,"median":1.947492,"eighty":7.200434,"marketCap":6081621786},{"date":"2022-12-30","current":1.716419,"twenty":-1.478314,"median":1.947492,"eighty":7.200434,"marketCap":5868437047},{"date":"2023-01-06","current":1.843181,"twenty":-1.478314,"median":1.939789,"eighty":7.118818,"marketCap":6301834593},{"date":"2023-01-13","current":1.942534,"twenty":-1.478314,"median":1.936354,"eighty":6.946059,"marketCap":6641524562},{"date":"2023-01-20","current":1.932941,"twenty":-1.478314,"median":1.932941,"eighty":6.72732,"marketCap":6608726910},{"date":"2023-01-27","current":1.975424,"twenty":-1.478314,"median":1.926596,"eighty":6.603143,"marketCap":6753973655},{"date":"2023-02-03","current":2.697878,"twenty":-1.478314,"median":1.926596,"eighty":6.500109,"marketCap":6809443619},{"date":"2023-02-10","current":2.509341,"twenty":-1.478314,"median":1.926596,"eighty":6.430708,"marketCap":6333575678},{"date":"2023-02-17","current":2.515625,"twenty":-1.478314,"median":1.926596,"eighty":6.350671,"marketCap":6349437943},{"date":"2023-02-24","current":2.53807,"twenty":-1.478314,"median":1.926596,"eighty":6.214917,"marketCap":6406088888},{"date":"2023-03-03","current":2.816387,"twenty":-1.478314,"median":1.926596,"eighty":6.023267,"marketCap":7108560609},{"date":"2023-03-10","current":2.449293,"twenty":-1.478314,"median":1.926596,"eighty":5.674156,"marketCap":6182014506},{"date":"2023-03-17","current":2.157646,"twenty":-1.478314,"median":1.926596,"eighty":5.524959,"marketCap":5445898115},{"date":"2023-03-24","current":2.250361,"twenty":-1.478314,"median":1.926596,"eighty":5.413712,"marketCap":5679910425},{"date":"2023-03-31","current":2.349377,"twenty":-1.477716,"median":1.929426,"eighty":5.380441,"marketCap":5929826483},{"date":"2023-04-06","current":2.208054,"twenty":-1.477716,"median":1.929426,"eighty":5.319099,"marketCap":5573128109},{"date":"2023-04-14","current":2.365579,"twenty":-1.478314,"median":1.926596,"eighty":5.174061,"marketCap":5970721838},{"date":"2023-04-21","current":2.319672,"twenty":-1.478314,"median":1.926596,"eighty":4.790932,"marketCap":5854851666},{"date":"2023-04-28","current":2.928501,"twenty":-1.478314,"median":1.926596,"eighty":4.584551,"marketCap":5391370975},{"date":"2023-05-05","current":2.578218,"twenty":-1.478314,"median":1.926596,"eighty":3.75487,"marketCap":4746499189},{"date":"2023-05-12","current":2.60897,"twenty":-1.478314,"median":1.926596,"eighty":3.726209,"marketCap":4803112967},{"date":"2023-05-19","current":2.727056,"twenty":-1.478314,"median":1.926596,"eighty":3.702509,"marketCap":5020509877},{"date":"2023-05-26","current":2.642181,"twenty":-1.478314,"median":1.926596,"eighty":3.677492,"marketCap":4864255848},{"date":"2023-06-02","current":2.558537,"twenty":-1.478314,"median":1.926596,"eighty":3.646909,"marketCap":4710266371},{"date":"2023-06-09","current":2.79594,"twenty":-1.478314,"median":1.926596,"eighty":3.610297,"marketCap":5147324741},{"date":"2023-06-16","current":2.934937,"twenty":-1.478314,"median":1.926596,"eighty":3.592929,"marketCap":5403219020},{"date":"2023-06-23","current":2.880814,"twenty":-1.478911,"median":1.926343,"eighty":3.581263,"marketCap":5303578769},{"date":"2023-06-30","current":3.073934,"twenty":-1.479509,"median":1.92609,"eighty":3.545426,"marketCap":5659113298},{"date":"2023-07-07","current":2.850062,"twenty":-1.479509,"median":1.92609,"eighty":3.525057,"marketCap":5246964991},{"date":"2023-07-14","current":3.077625,"twenty":-1.479509,"median":1.92609,"eighty":3.474173,"marketCap":5665906952},{"date":"2023-07-21","current":3.034572,"twenty":-1.479509,"median":1.92609,"eighty":3.439935,"marketCap":5586647662},{"date":"2023-07-28","current":4.229979,"twenty":-1.479509,"median":1.92609,"eighty":3.195299,"marketCap":5668171503},{"date":"2023-08-04","current":4.036643,"twenty":-1.479509,"median":1.92609,"eighty":3.195299,"marketCap":5409101642},{"date":"2023-08-11","current":3.743795,"twenty":-1.479509,"median":1.92609,"eighty":3.195299,"marketCap":5016685365},{"date":"2023-08-18","current":5.109864,"twenty":-1.479509,"median":1.92609,"eighty":3.195299,"marketCap":6847218113},{"date":"2023-08-25","current":5.066603,"twenty":-1.479509,"median":1.92609,"eighty":3.195299,"marketCap":6789247527},{"date":"2023-09-01","current":5.173093,"twenty":-1.479509,"median":1.92609,"eighty":3.195299,"marketCap":6931944355},{"date":"2023-09-08","current":5.128167,"twenty":-1.479509,"median":1.92609,"eighty":3.195299,"marketCap":6871744131},{"date":"2023-09-15","current":5.131495,"twenty":-1.479509,"median":1.92609,"eighty":3.195299,"marketCap":6876203406},{"date":"2023-09-22","current":5.196388,"twenty":-1.479509,"median":1.92609,"eighty":3.195299,"marketCap":6963159286},{"date":"2023-09-29","current":5.366106,"twenty":-1.479509,"median":1.92609,"eighty":3.195299,"marketCap":7190582356},{"date":"2023-10-06","current":5.490899,"twenty":-1.479509,"median":1.92609,"eighty":3.195299,"marketCap":7357805202},{"date":"2023-10-13","current":5.585742,"twenty":-1.479509,"median":1.92609,"eighty":3.195299,"marketCap":7484894564},{"date":"2023-10-20","current":5.327836,"twenty":-1.479509,"median":1.92609,"eighty":3.195299,"marketCap":7139300683},{"date":"2023-10-27","current":6.320218,"twenty":-1.482715,"median":1.925467,"eighty":3.16679,"marketCap":7261930770},{"date":"2023-11-03","current":6.646508,"twenty":-1.482715,"median":1.925467,"eighty":3.16679,"marketCap":7636838240},{"date":"2023-11-10","current":6.596038,"twenty":-1.482715,"median":1.925467,"eighty":3.16679,"marketCap":7578848230},{"date":"2023-11-17","current":6.68339,"twenty":-1.482715,"median":1.925467,"eighty":3.16679,"marketCap":7679215555},{"date":"2023-11-24","current":6.764919,"twenty":-1.482715,"median":1.925467,"eighty":3.16679,"marketCap":7772891725},{"date":"2023-12-01","current":6.96874,"twenty":-1.482715,"median":1.925467,"eighty":3.16679,"marketCap":8007082150},{"date":"2023-12-08","current":6.974563,"twenty":-1.48141,"median":1.926036,"eighty":3.175414,"marketCap":8013773305},{"date":"2023-12-15","current":7.543321,"twenty":-1.48141,"median":1.926036,"eighty":3.175414,"marketCap":8667276110},{"date":"2023-12-22","current":9.352642,"twenty":-1.48141,"median":1.926036,"eighty":3.175414,"marketCap":10746185308},{"date":"2023-12-29","current":9.449741,"twenty":-1.482715,"median":1.925467,"eighty":3.16679,"marketCap":10857752846},{"date":"2024-01-05","current":9.30215,"twenty":-1.484019,"median":1.924897,"eighty":3.161361,"marketCap":10688170188},{"date":"2024-01-12","current":9.269136,"twenty":-1.484019,"median":1.924897,"eighty":3.161361,"marketCap":10650237225},{"date":"2024-01-19","current":9.21476,"twenty":-1.485324,"median":1.924756,"eighty":3.158239,"marketCap":10587759403},{"date":"2024-01-26","current":9.418817,"twenty":-1.484019,"median":1.924897,"eighty":3.161361,"marketCap":10822220991},{"date":"2024-02-02","current":9.07812,"twenty":-1.484019,"median":1.924897,"eighty":3.161361,"marketCap":10430759918},{"date":"2024-02-09","current":11.588987,"twenty":-1.484019,"median":1.924897,"eighty":3.161361,"marketCap":10372143383},{"date":"2024-02-16","current":11.444,"twenty":-1.484019,"median":1.924897,"eighty":3.161361,"marketCap":10242379726},{"date":"2024-02-23","current":11.628984,"twenty":-1.484019,"median":1.924897,"eighty":3.161361,"marketCap":10407940254},{"date":"2024-03-01","current":11.833966,"twenty":-1.482715,"median":1.925467,"eighty":3.16679,"marketCap":10591399218},{"date":"2024-03-08","current":11.891461,"twenty":-1.482715,"median":1.925467,"eighty":3.178445,"marketCap":10642857221},{"date":"2024-03-15","current":9.61057,"twenty":-1.482715,"median":1.925467,"eighty":3.463916,"marketCap":8601460160},{"date":"2024-03-22","current":10.060202,"twenty":-1.482715,"median":1.925467,"eighty":3.537869,"marketCap":9003880800},{"date":"2024-03-28","current":10.303857,"twenty":-1.482715,"median":1.925467,"eighty":3.572956,"marketCap":9221952320},{"date":"2024-04-05","current":10.323953,"twenty":-1.484019,"median":1.924897,"eighty":3.6156,"marketCap":9239937600},{"date":"2024-04-12","current":10.607799,"twenty":-1.484019,"median":1.924897,"eighty":3.669042,"marketCap":9493979680},{"date":"2024-04-19","current":9.78138,"twenty":-1.484019,"median":1.924897,"eighty":3.715464,"marketCap":8754335040},{"date":"2024-04-26","current":9.336772,"twenty":-1.482715,"median":1.925467,"eighty":3.75487,"marketCap":8356410720},{"date":"2024-05-03","current":9.607189,"twenty":-1.482715,"median":1.925467,"eighty":3.875815,"marketCap":8329432800},{"date":"2024-05-10","current":9.912055,"twenty":-1.482715,"median":1.925467,"eighty":4.058939,"marketCap":8593751979},{"date":"2024-05-17","current":9.686428,"twenty":-1.482715,"median":1.925467,"eighty":4.560109,"marketCap":8398132821},{"date":"2024-05-24","current":9.318162,"twenty":-1.482715,"median":1.925467,"eighty":5.050629,"marketCap":8078846379},{"date":"2024-05-31","current":9.886121,"twenty":-1.482715,"median":1.926343,"eighty":5.101878,"marketCap":8571267018},{"date":"2024-06-07","current":9.93799,"twenty":-1.482715,"median":1.932599,"eighty":5.129498,"marketCap":8616236940},{"date":"2024-06-14","current":9.533416,"twenty":-1.484019,"median":1.932256,"eighty":5.163442,"marketCap":8265471553},{"date":"2024-06-21","current":9.600845,"twenty":-1.485324,"median":1.929426,"eighty":5.194724,"marketCap":8323932451},{"date":"2024-06-28","current":9.54379,"twenty":-1.488939,"median":1.92609,"eighty":5.237985,"marketCap":8274465537},{"date":"2024-07-05","current":10.163617,"twenty":-1.488939,"median":1.92609,"eighty":5.31752,"marketCap":8811856098},{"date":"2024-07-12","current":10.04432,"twenty":-1.488939,"median":1.92609,"eighty":5.351131,"marketCap":8708425279},{"date":"2024-07-15","current":10.192145,"twenty":-1.488939,"median":1.92609,"eighty":5.380083,"marketCap":8836589555},{"date":"2024-08-02","current":15.955297,"twenty":-1.507902,"median":1.914391,"eighty":5.452629,"marketCap":9142385020},{"date":"2024-08-09","current":16.414759,"twenty":-1.507902,"median":1.914391,"eighty":5.502547,"marketCap":9405656788},{"date":"2024-08-16","current":16.38335,"twenty":-1.507902,"median":1.915554,"eighty":5.585742,"marketCap":9387659836},{"date":"2024-08-23","current":14.977829,"twenty":-1.507902,"median":1.916104,"eighty":6.311828,"marketCap":8582296256},{"date":"2024-08-30","current":15.138797,"twenty":-1.507902,"median":1.926343,"eighty":6.414819,"marketCap":8674530632},{"date":"2024-09-06","current":11.766332,"twenty":-1.507902,"median":1.933362,"eighty":6.432474,"marketCap":6742107963},{"date":"2024-09-13","current":13.639051,"twenty":-1.507902,"median":1.933362,"eighty":6.506038,"marketCap":7815176197},{"date":"2024-09-20","current":14.950347,"twenty":-1.507902,"median":1.93464,"eighty":6.596038,"marketCap":8566548923},{"date":"2024-09-27","current":14.180844,"twenty":-1.507902,"median":1.939357,"eighty":6.61545,"marketCap":8125623611},{"date":"2024-10-04","current":13.713646,"twenty":-1.507902,"median":1.94221,"eighty":6.646508,"marketCap":7857918957},{"date":"2024-10-11","current":13.902095,"twenty":-1.507902,"median":1.957949,"eighty":6.669802,"marketCap":7965900666},{"date":"2024-10-18","current":14.840418,"twenty":-1.507902,"median":1.972214,"eighty":6.732617,"marketCap":8503559593},{"date":"2024-10-25","current":15.507844,"twenty":-1.507902,"median":1.984789,"eighty":6.873861,"marketCap":8885994813},{"date":"2024-10-31","current":15.519622,"twenty":-1.507902,"median":1.984789,"eighty":6.96874,"marketCap":8892743669},{"date":"2024-11-08","current":24.058341,"twenty":-1.508083,"median":1.983478,"eighty":7.040562,"marketCap":9454927854},{"date":"2024-11-15","current":20.844068,"twenty":-1.508083,"median":1.983478,"eighty":7.2664,"marketCap":8191718869},{"date":"2024-11-22","current":23.210369,"twenty":-1.508083,"median":1.983478,"eighty":7.473319,"marketCap":9121674860},{"date":"2024-11-29","current":23.359337,"twenty":-1.508083,"median":1.983478,"eighty":7.545376,"marketCap":9180219305},{"date":"2024-12-06","current":22.259265,"twenty":-1.508083,"median":1.983478,"eighty":7.628639,"marketCap":8747891096},{"date":"2024-12-13","current":19.491897,"twenty":-1.508083,"median":1.983478,"eighty":7.8455,"marketCap":7660315446},{"date":"2024-12-20","current":18.174102,"twenty":-1.508083,"median":1.983478,"eighty":7.955552,"marketCap":7142422280},{"date":"2024-12-27","current":17.761576,"twenty":-1.508083,"median":1.983478,"eighty":8.059131,"marketCap":6980299202},{"date":"2025-01-03","current":18.678302,"twenty":-1.508083,"median":1.983478,"eighty":8.318666,"marketCap":7340572709},{"date":"2025-01-10","current":18.781434,"twenty":-1.508264,"median":1.980479,"eighty":8.582909,"marketCap":7381103478},{"date":"2025-01-17","current":20.511755,"twenty":-1.508264,"median":1.980479,"eighty":9.170871,"marketCap":8061119723},{"date":"2025-01-24","current":21.250866,"twenty":-1.508264,"median":1.980479,"eighty":9.23651,"marketCap":8351590238},{"date":"2025-01-31","current":21.420559,"twenty":-1.501064,"median":1.984789,"eighty":9.290403,"marketCap":8225494511},{"date":"2025-02-07","current":23.031909,"twenty":-1.472889,"median":2.001435,"eighty":9.313306,"marketCap":8844252897},{"date":"2025-02-14","current":22.767983,"twenty":-1.453455,"median":2.010406,"eighty":9.361964,"marketCap":8742905461},{"date":"2025-02-21","current":22.245997,"twenty":-1.423126,"median":2.034058,"eighty":9.387249,"marketCap":8542462755},{"date":"2025-02-28","current":22.844228,"twenty":-1.371306,"median":2.057209,"eighty":9.39692,"marketCap":8772183609},{"date":"2025-03-07","current":21.811986,"twenty":-1.334148,"median":2.08972,"eighty":9.418038,"marketCap":8375802527},{"date":"2025-03-14","current":22.005531,"twenty":-1.29994,"median":2.114567,"eighty":9.530569,"marketCap":8450123980},{"date":"2025-03-21","current":24.081746,"twenty":-1.284626,"median":2.157646,"eighty":9.585284,"marketCap":9247390475},{"date":"2025-03-28","current":25.340899,"twenty":-1.276155,"median":2.175399,"eighty":9.62892,"marketCap":9730905209},{"date":"2025-04-04","current":22.964821,"twenty":-1.248757,"median":2.191452,"eighty":9.731142,"marketCap":8818491342},{"date":"2025-04-11","current":24.096848,"twenty":-1.218923,"median":2.203245,"eighty":9.813522,"marketCap":9253189760},{"date":"2025-04-17","current":24.656966,"twenty":-1.201273,"median":2.214484,"eighty":9.862262,"marketCap":9468274915},{"date":"2025-04-25","current":24.916389,"twenty":-1.167881,"median":2.237089,"eighty":9.896495,"marketCap":9567893302},{"date":"2025-05-02","current":101.438967,"twenty":-1.149698,"median":2.250361,"eighty":9.932803,"marketCap":9839579813},{"date":"2025-05-09","current":96.683302,"twenty":-1.135856,"median":2.259365,"eighty":9.966759,"marketCap":9378280281},{"date":"2025-05-16","current":96.169774,"twenty":-1.11422,"median":2.268364,"eighty":10.053656,"marketCap":9328468073},{"date":"2025-05-23","current":100.137944,"twenty":-1.067933,"median":2.295688,"eighty":10.163617,"marketCap":9713380591},{"date":"2025-05-30","current":124.250414,"twenty":-1.041178,"median":2.311916,"eighty":10.209436,"marketCap":12052290183},{"date":"2025-06-06","current":123.620175,"twenty":-1.007583,"median":2.320572,"eighty":10.315915,"marketCap":11991157018},{"date":"2025-06-13","current":125.370839,"twenty":-1.000966,"median":2.342175,"eighty":10.514858,"marketCap":12160971364},{"date":"2025-06-18","current":128.008505,"twenty":-0.995876,"median":2.34999,"eighty":10.66507,"marketCap":12416824979}],"updateTime":1770757553345},"$inf$@#url:\"https://stock-news.skytigris.cn/v2/news/list\",params:#symbols:\"X\",pageSize:20,pageCount:1,lang_content:\"cn\",edition:\"fundamental\",,,undefined,":[{"items":[{"id":"1155255765","title":"Nasus Pharma完成1500万美元私募配售定价 机构投资者溢价认购","url":"https://stock-news.laohu8.com/highlight/detail?id=1155255765","media":"投资观察","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1155255765?lang=zh_cn&edition=fundamental","pubTime":"2026-02-11 12:05","pubTimestamp":1770782722,"startTime":"0","endTime":"0","summary":"以色列特拉维夫,2026年2月10日——临床阶段制药企业Nasus Pharma Ltd.今日宣布与多家机构及合格投资者签署证券购买协议,将通过私募配售发行普通股及认股权证,募集资金总额约1500万美元。根据协议条款,Nasus Pharma将合计发行2,695,425股无面值普通股,及可认购最多2,695,425股普通股的认股权证,每股普通股及配套权证的组合认购价格为5.565美元。根据协议,Nasus Pharma承诺向美国证券交易委员会提交注册声明,用于登记私募所发行普通股及权证对应普通股的转售。","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":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4588","BK4520","X","UK","BK4585","BK4007","BK4205","BK4516","BK4528","NSRX","BK4233","BK4006"],"gpt_icon":0},{"id":"2608840702","title":"中加基金配置周报|特朗普提名美联储新任主席,商品价格大幅波动","url":"https://stock-news.laohu8.com/highlight/detail?id=2608840702","media":"新浪基金","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2608840702?lang=zh_cn&edition=fundamental","pubTime":"2026-02-03 15:37","pubTimestamp":1770104220,"startTime":"0","endTime":"0","summary":"美联储主席候选人沃勒支持降息25个基点,与特朗普“钦点”理事米兰立场一致。美联储主席鲍威尔在新闻发布会上表示,加息并非任何人对下一步行动的基本假设,不相信美联储会丧失独立性,将建议下一届美联储主席远离政治。 2、美国总统特朗普正式提名前美联储理事凯文·沃什为下任美联储主席,接替将于5月结束任期的鲍威尔。 3、沃什获美联储主席提名引爆鹰派预期,全球贵金属市场遭遇史诗级暴跌。","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/money/fund/jjh/2026-02-03/doc-inhkpqwz3396500.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":["TLTW","BK4504","BK4585","SDS","SSO","BK4588","ESmain","OEX","MESmain","SPXU","IVV","SH","BK4559",".SPX","BK4581","OEF","X","BK4550","UPRO","BK4534","TMF"],"gpt_icon":1},{"id":"2608006648","title":"美国钢铁工人联合会:工会将继续与马拉松石油(MRO.US)就到期合同进行谈判。","url":"https://stock-news.laohu8.com/highlight/detail?id=2608006648","media":"格隆汇","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2608006648?lang=zh_cn&edition=fundamental","pubTime":"2026-02-01 12:57","pubTimestamp":1769921876,"startTime":"0","endTime":"0","summary":null,"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.gelonghui.com/rss/live/live.xml","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"live_gelonghui","symbols":["BK4516","X","XLE","BK4588","BK4585","BK4520","BK4006","BK4570"],"gpt_icon":0},{"id":"2607075546","title":"莫迪盟友提议禁止印度青少年使用社交媒体,引发全球热议","url":"https://stock-news.laohu8.com/highlight/detail?id=2607075546","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2607075546?lang=zh_cn&edition=fundamental","pubTime":"2026-01-31 12:26","pubTimestamp":1769833614,"startTime":"0","endTime":"0","summary":"路透新德里1月31日 - 印度总理纳伦德拉-莫迪的一位盟友提出了一项禁止儿童使用社交媒体的法案,作为全球最大的 Meta 和 YouTube 市场,印度加入了一场关于社交媒体对青少年健康和安全影响的全球辩论 。法国国民议会本周支持立法禁止 15 岁以下儿童使用社交媒体,英国、丹麦和希腊也在研究这一问题。印度 IT 部没有回应置评请求。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260131:nL4S3YW03E:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["IE0004091025.USD","LU1201861165.SGD","LU0070302665.USD","LU2756315664.SGD","LU2505996509.AUD","IE00BSNM7G36.USD","LU1914381329.SGD","SG9999014906.USD","LU1868836591.USD","IE00BKVL7J92.USD","LU2111349929.HKD","LU1032955483.USD","IE00BFSS8Q28.SGD","LU0029864427.USD","BK4538","LU1119994496.HKD","IE00BFSS7M15.SGD","SG9999000418.SGD","IE0005OL40V9.USD","LU0128525929.USD","LU1894683264.USD","LU0640476718.USD","LU2347655156.SGD","BK4585","LU1814569148.SGD","LU0320765489.SGD","LU0708994859.HKD","LU1974910355.USD","LU1430594728.SGD","LU1043141396.HKD","LU1823568750.SGD","LU1303367103.USD","LU2360032135.SGD","LU0149725797.USD","IE00BKDWB100.SGD","LU2362541273.HKD","GOU","GB00B4QBRK32.GBP","LU0289960550.SGD","LU2322448791.USD","SG9999015978.USD","IE0003U64NQ7.SGD","LU0256863811.USD","LU0985489474.SGD","LU1720051108.HKD","LU1506573853.SGD","LU2237438978.USD","LU0210533765.USD","LU0949170772.SGD","LU2896262040.SGD","LU0170899867.USD","LU1670628061.USD","LU2764263039.SGD","LU0077335932.USD","LU0433182093.SGD","LU0203347892.USD","LU1880398471.USD","LU0477156953.USD","LU1642822529.SGD","LU2602419157.SGD","LU2458330243.SGD","LU1699723380.USD","SG9999014914.USD","LU1732800096.USD","LU2087621335.USD","LU2473716301.USD","LU1803068623.USD","LU0053666078.USD","LU0251132253.USD","LU1935042991.SGD","LU0476273544.USD","LU2430703251.USD","LU0994945656.USD","LU2211815571.USD","LU0011850046.USD","LU0211331839.USD","IE0009G5SDU7.USD","SG9999001077.SGD","LU1153585028.USD","LU0690374961.EUR","LU0820561909.HKD","SG9999015945.SGD","LU2065171311.SGD","IE00BMPRXR70.SGD","LU1429558221.USD","LU1196500208.SGD","LU2272731865.HKD","LU1066051498.USD","IE00BKPKM429.USD","BK4612","IE00BBT3K403.USD","LU2361044949.HKD","IE00B19Z8W00.USD","GGLL","LU1992135472.HKD","BK4543","LU1084165304.USD","LU1244550221.USD","LU0234572021.USD","LU2505996681.GBP","LU0820562030.AUD","SOCL","LU0976567544.SGD","LU1629891620.HKD","LU2463028550.USD","IE0004445239.USD","LU0545039389.USD","LU2168564222.USD","LU0353189680.USD","LU0354030511.USD","LU1242518857.USD","IE00B1BXHZ80.USD","IE000W1ABFV2.USD","LU2362541513.USD","LU1244550494.USD","LU1301847155.USD","LU2360106780.USD","BK4592","LU2456880835.USD","LU2746668461.USD","LU1670710588.SGD","LU2244417387.USD","LU1571399168.USD","LU1496350502.SGD","LU1670627923.USD","LU0557290698.USD","LU2077746001.SGD","LU1232071149.USD","GOOW","SG9999015986.USD","LU0158827948.USD","LU0787776722.HKD","LU2133065610.SGD","LU0724617625.USD","SG9999018857.SGD","BK4581","LU0267386448.USD","LU1548497426.USD","LU0494093205.USD","LU1868836914.USD","BK4561","LU1267930227.SGD","LU0648000940.SGD","LU1992135399.USD","IE00B4JS1V06.HKD","LU1201861249.SGD","LU1564329032.USD","LU2271345857.HKD","LU2750360641.GBP","LU0251131958.USD","LU0006306889.USD","LU2242650005.HKD","LU0878866978.SGD","LU0265550946.USD","GB00B4LPDJ14.GBP","IE00BQXX3D17.EUR","LU0107464264.USD","LU0109391861.USD","LU0314106906.USD","LU2764263203.CNY","LU1121112475.USD","LU2491050154.USD","HK0000914660.USD","GOOY","IE0004086264.USD","BK4077","LU2023250843.SGD","LU2098885051.SGD","IE00B1XK9C88.USD","LU2750360997.AUD","LU2168563687.JPY","LU1435385759.SGD","LU0795875086.SGD","LU1861559042.SGD","LU1989764664.SGD","LU2265009873.SGD","BK4524","LU2089284900.SGD","LU0211326839.USD","LU1261432733.SGD","LU2404859667.USD","LU1043141123.HKD","LU2362540622.SGD","LU0957808578.USD","LU0345769631.USD","LU0719512351.SGD","LU0820561818.USD","LU2471134523.USD","LU2462157665.USD","LU0203202063.USD","LU1803068979.SGD","BK4579","LU1066051225.USD","LU0096362180.USD","LU1235294995.USD","SGXZ99366536.SGD","LU1718418525.SGD","LU1989764748.USD","LU0320765059.SGD","LU1127390331.HKD","LU0061474960.USD","LU0868494617.USD","LU2420271590.USD","LU0949170426.SGD","LU1564329628.SGD","LU2065171402.SGD","IE00BN8TJ469.HKD","LU1951200564.SGD","IE00BJTD4V19.USD","IE0004445015.USD","BK4574","LU0234570918.USD","LU0642271901.SGD","LU2746668974.SGD","LU0348723411.USD","IE00BK4W5L77.USD","META","LU0788109477.HKD","LU2404859741.USD","LU1280957306.USD","LU2092937148.SGD","LU2430703178.SGD","IE00BJTD4N35.SGD","SG9999002224.SGD","LU2065170008.USD","LU2322448957.HKD","LU1988902786.USD","IE00BWXC8680.SGD","LU2592432038.USD","LU1839511570.USD","LU0210528500.USD","LU0308772762.SGD","LU0792757196.USD","LU2023251221.USD","LU1066053197.SGD","LU0079474960.USD","LU0528227936.USD","LU2168564065.EUR","LU2756315318.SGD","BK4566","LU1585245621.USD","LU2552382058.USD","LU0980610538.SGD","LU2357305700.SGD","LU0048584097.USD","LU2092627202.USD","LU0128525689.USD","LU0225283273.USD","LU1815336760.USD","LU2272731782.SGD","GB00BDT5M118.USD","SGXZ51526630.SGD","IE000YTNTUN2.SGD","LU0823421416.USD","LU0426412945.USD","SG9999014898.SGD","LU1670710661.SGD","IE000ITXATA3.USD","BK4602","LU2097829019.USD","LU1551013342.USD","LU0157215616.USD","GOOP","LU0912757837.SGD","LU1221951129.SGD","LU1732799900.SGD","LU2213496289.HKD","LU0738911758.USD","LU2168564495.EUR","IE00BN29S564.USD","LU1221951046.USD","LU0784385170.HKD","LU0265550359.USD","LU0648001328.SGD","LU2458330169.SGD","LU0080751232.USD","LU0251142724.SGD","LU2247934214.USD","LU1496350171.SGD","IE00BHPRN162.USD","LU0496365809.HKD","LU0187121727.USD","LU2264538146.SGD","IE00BJJMRX11.SGD","IE00B7KXQ091.USD","LU0784384876.USD","LU2430703095.HKD","LU0061475181.USD","LU1366192091.USD","LU1804176565.USD","LU0175139822.USD","LU1145028129.USD","LU0154236417.USD","IE0034235303.USD","SG9999002232.USD","LU1791710582.SGD","IE00B19Z9505.USD","LU0256863902.USD","LU1868837300.USD","IE00BZ1G4Q59.USD","LU0985320562.USD","LU1116320737.USD","LU1880398554.USD","LU0048573561.USD","LU0061474705.USD","LU1935043023.USD","IE00B19Z3B42.SGD","LU0198837287.USD","LU0426417589.USD","LU0889565833.HKD","LU2347655073.USD","LU0106261372.USD","SG9999018865.SGD","IE0034235188.USD","LU1064131342.USD","LU0082616367.USD","LU1778281490.HKD","LU1935042488.USD","LU0823421333.USD","LU0444973449.USD","HK0000914686.HKD","LU0211327993.USD","BK4507","LU2168564149.EUR","LU0868494708.USD","BK4533","LU1674673691.USD","IE00B3SWFQ91.USD","LU0795875169.SGD","LU0823434740.USD","LU2471134952.CNY","LU2417539215.USD","LU0215105999.USD","IE00B19Z8X17.USD","LU2275660780.HKD","LU0444971666.USD","LU0130102774.USD","BK4573","BK4532","LU0130517989.USD","LU0127658192.USD","IE00BJLML261.HKD","LU1852331112.SGD","LU2381873111.SGD","LU0094547139.USD","LU1066051811.HKD","LU0211326755.USD","LU2242649171.HKD","IE00BJJMRY28.SGD","LU0310800379.SGD","LU0964807845.USD","LU2361045086.USD","LU1551013425.SGD","LU1564329115.USD","LU0210536198.USD","LU2087625088.SGD","LU2552382132.HKD","BK4514","IE00BLSP4452.SGD","LU0158827781.USD","SG9999017495.SGD","IE000KEQY171.SGD","BK4576","IE00B5949003.HKD","IE00BQXX3F31.USD","LU1935042215.USD","LU0683600562.USD","GOOX","IE00BK4W5M84.HKD","BK4534","LU1564329461.SGD","LU1670711040.USD","LU0070217475.USD","LU0672654240.SGD","LU2028103732.USD","LU1267930573.SGD","LU2543165471.USD","LU1868837136.USD","LU0345774631.USD","LU1791710400.SGD","SGXZ23171101.USD","LU2191332357.HKD","LU1894683348.USD","LU2403377893.USD","IE00B775H168.HKD","LU2063271972.USD","BK4527","LU2125154935.USD","BK4587","LU2237957811.SGD","LU2764262908.HKD","IE00BMPRXQ63.HKD","LU0211328371.USD","LU2106854487.HKD","LU2065169927.USD","LU0353189763.USD","LU0056508442.USD","LU1046421795.USD","LU2237957902.USD","LU2491049909.HKD","LU0417517546.SGD","LU1242518931.SGD","LU0354030438.USD","LU0553294199.USD","LU0477156797.USD","LU0466842654.USD","LU0661504455.SGD","LU0310799852.SGD","LU2326559502.SGD","LU0314104364.USD","LU0345770308.USD","SG9999015952.SGD","LU0742534661.SGD","LU0889566641.SGD","LU1244550577.SGD","LU2487616109.SGD","LU2720916845.USD","LU0109392836.USD","LU0203201768.USD","SG9999004303.SGD","LU1074936037.SGD","LU2250418816.HKD","LU2089283258.USD","IE0002270589.USD","LU1267930490.SGD","LU0689472784.USD","LU0882574139.USD","SGXZ81514606.USD","IE0001KFT4U8.USD","LU2272731600.USD","LU2552382215.SGD","GGLS","LU1633808545.USD","IE00BMPRXN33.USD","LU0345768153.USD","IE00BQXX3C00.GBP","LU0072462426.USD","SG9999014880.SGD","LU1267930730.SGD","GOOGL","LU0942090050.USD","LU0784385840.USD","LU1923623000.USD","LU1868836757.USD","LU0345770993.USD","LU2236285917.USD","LU0342679015.USD","LU1489326972.SGD","LU0345768740.USD","LU0943347566.SGD","LU1935043536.SGD","BK4550","LU0823434583.USD","LU2491050071.SGD","LU1697837992.HKD","LU0302445910.USD","LU0323591593.USD","LU0208291251.USD","LU0784383803.USD","LU1267930813.SGD","LU1035775433.USD","LU1720051017.SGD","LU2054465674.USD","LU0726765562.USD","LU2023250330.USD","SGXZ31699556.SGD","LU1003077747.HKD","LU0310800965.SGD","LU0345774391.USD","BK4588","IE00B4YYXB79.USD","BK4503","LU2471134879.HKD","LU0708995401.HKD","LU0276348264.USD","LU0979878070.USD","LU0130518102.USD","LU1951198990.SGD","LU2317271919.USD","LU1323610961.USD","LU1059921491.USD","IE00B19Z3581.USD","IE0009356076.USD","LU0052756011.USD","LU0096364046.USD","LU1116320901.HKD","IE00B7SZLL34.SGD","LU0690374615.EUR","LU2023250504.SGD","LU2361044865.SGD","IE00BFMHRM44.USD","LU1069344957.HKD","IE00BLSP4239.USD","LU2860962120.EUR","LU1674673428.USD","LU0786609619.USD","LU2097344357.USD","LU0130103400.USD","LU0316494557.USD","BK4598","LU1861558580.USD","LU0957791311.USD","LU0203345920.USD","LU2125154778.USD","LU1670711123.USD","LU1917777945.USD","LU1316542783.SGD","LU2097344431.USD","LU0345769128.USD","LU0312595415.SGD","LU0097036916.USD","LU2471134796.USD","LU0068578508.USD","LU2461242641.AUD","X","LU1366333091.USD","LU1815333072.USD"],"gpt_icon":1},{"id":"2607091530","title":"股债与金属齐跌! 市场用抛售回应沃什提名传闻 开始定价“更鹰派的下任美联储主席”","url":"https://stock-news.laohu8.com/highlight/detail?id=2607091530","media":"智通财经","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2607091530?lang=zh_cn&edition=fundamental","pubTime":"2026-01-30 14:56","pubTimestamp":1769756176,"startTime":"0","endTime":"0","summary":"预测市场Polymarket最新显示,美联储前理事Kevin Warsh被特朗普提名为美联储新主席的概率飙升至95%。。特朗普在首个任期内提名鲍威尔担任美联储主席,但随后多次批评美联储未能更快降息。特朗普拟提名沃什出任下一任美联储主席的消息出炉之后,主美元兑几乎所有发达市场主权货币均大幅上涨,而美国10年期国债收益率迅速上升。沃什的潜在提名被视为可能对冲其中一些因素。","market":"sh","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":"2ed5fddde50415bfc4b333f07fa9880f","theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"http://www.zhitongcaijing.com/content/detail/1399689.html","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":"stock_zhitongcaijing","symbols":[".SPX","IVV","UPRO","ESmain","SSO","OEX","MESmain","OEF","BK4581","BK4559","BK4534","VALE","BK4585","SH","BK4550","X","BK4504","SDS","BK4588","SPXU"],"gpt_icon":0},{"id":"2607704304","title":"RootData 透明度警报:Netswap、Hydranet、 Ubeswap 等项目缺失核心信息","url":"https://stock-news.laohu8.com/highlight/detail?id=2607704304","media":"链捕手","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2607704304?lang=zh_cn&edition=fundamental","pubTime":"2026-01-29 16:34","pubTimestamp":1769675683,"startTime":"0","endTime":"0","summary":" ChainCatcher 消息,Web3 资产数据平台 RootData 在推特(X)发表日常透明度警报,Netswap、Hydranet、 Ubeswap、Omega、Solidly Labs 等项目的融资信息存疑,呼吁项目方在 RootData上提交/更新资料,提升其透明度评分。此外,RootData 表示将持续监督和曝光缺失核心信息的“黑盒”项目。\n\n据悉,RootData 透明度评分用于衡量项目的完整性与时效性,旨在反映项目的信息披露情况。透明度评分从高到低分为 A-F 级共 5 个等级,评分越低,代表该项目信息披露越不完整,作恶风险越高,投资者需高度警惕。 ","market":"nz","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.chaincatcher.com/article/2241547","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["X","BK4585","BK4006","BK4520","BK4516","BK4588"],"gpt_icon":0},{"id":"2607070625","title":"经济顾问称,印度应考虑对社交媒体的访问设置年龄限制","url":"https://stock-news.laohu8.com/highlight/detail?id=2607070625","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2607070625?lang=zh_cn&edition=fundamental","pubTime":"2026-01-29 15:47","pubTimestamp":1769672852,"startTime":"0","endTime":"0","summary":"更新 1-经济顾问称,印度应考虑对社交媒体的访问设置年龄限制第 3-4 段增加了调查细节路透新德里1月29日 - 印度周四公布的年度经济调查报告建议,考虑对使用社交媒体和赌博应用程序设置年龄限制,以应对该国所谓的 \"数字成瘾 \"问题。印度是 Facebook、YouTube 和 X 等社交媒体应用程序的主要增长市场,但印度没有全国统一的社交媒体最低使用年龄。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260129:nL4T3YU0VN:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU1923623000.USD","LU0077335932.USD","LU2023250504.SGD","LU2417539215.USD","LU1974910355.USD","LU2362540622.SGD","META","LU0545039389.USD","LU0553294199.USD","LU0957791311.USD","LU2362541513.USD","IE00BK4W5L77.USD","LU0211326755.USD","GB00B4QBRK32.GBP","LU1697837992.HKD","LU0203202063.USD","LU0353189680.USD","LU0690374961.EUR","LU2125154935.USD","BK4532","IE00B19Z3581.USD","LU2275660780.HKD","LU0348723411.USD","BK4585","IE00BQXX3C00.GBP","LU0820562030.AUD","IE0009356076.USD","SG9999004303.SGD","LU2063271972.USD","LU2420271590.USD","SG9999015986.USD","LU2237957902.USD","LU1880398554.USD","LU0477156797.USD","LU2360106780.USD","LU1861559042.SGD","IE00BBT3K403.USD","IE00BSNM7G36.USD","IE0034235188.USD","LU1732799900.SGD","LU0096364046.USD","LU0345768740.USD","GB00BDT5M118.USD","SG9999014898.SGD","LU2236285917.USD","LU0208291251.USD","LU1366333091.USD","LU0029864427.USD","LU1564329032.USD","SG9999014906.USD","LU0127658192.USD","LU1670627923.USD","LU2250418816.HKD","LU0006306889.USD","LU2491050071.SGD","LU0976567544.SGD","LU2272731782.SGD","LU2471134879.HKD","LU1894683348.USD","LU2065170008.USD","SG9999018857.SGD","LU0215105999.USD","LU0354030438.USD","LU2430703095.HKD","LU0314106906.USD","LU2746668974.SGD","LU2272731865.HKD","LU1116320901.HKD","IE00B5949003.HKD","LU0082616367.USD","LU0130102774.USD","LU0889566641.SGD","LU1791710582.SGD","GOU","SG9999001077.SGD","LU2264538146.SGD","LU1914381329.SGD","LU0053666078.USD","LU0823434583.USD","HK0000914686.HKD","LU0080751232.USD","BK4507","LU1430594728.SGD","LU1221951129.SGD","LU0157215616.USD","LU2065171402.SGD","LU0061474960.USD","LU1116320737.USD","LU2125154778.USD","BK4561","LU0109391861.USD","LU1778281490.HKD","IE00BK4W5M84.HKD","IE00BLSP4239.USD","LU0433182093.SGD","LU0056508442.USD","LU2487616109.SGD","LU0795875169.SGD","LU1935042215.USD","LU1951198990.SGD","LU1032955483.USD","LU2023251221.USD","IE00B4YYXB79.USD","LU2404859741.USD","BK4612","LU0345770993.USD","IE00BZ1G4Q59.USD","LU1145028129.USD","LU0786609619.USD","BK4602","LU0310800965.SGD","LU2602419157.SGD","GGLL","LU2271345857.HKD","LU0496365809.HKD","SGXZ23171101.USD","LU0345769128.USD","LU1366192091.USD","LU0949170772.SGD","LU1235294995.USD","LU1127390331.HKD","IE00BJJMRY28.SGD","LU0784384876.USD","SG9999014914.USD","IE00B1XK9C88.USD","LU0889565833.HKD","LU2403377893.USD","IE00B775H168.HKD","LU2473716301.USD","LU2168564495.EUR","LU0912757837.SGD","LU1267930730.SGD","IE00B4JS1V06.HKD","LU0672654240.SGD","LU0742534661.SGD","LU2491049909.HKD","LU1670710661.SGD","LU1880398471.USD","LU0426417589.USD","LU2347655073.USD","GGLS","LU2111349929.HKD","BK4581","LU2023250330.USD","LU0234572021.USD","LU1064131342.USD","GB00B4LPDJ14.GBP","LU0170899867.USD","LU0130517989.USD","LU0316494557.USD","LU0823434740.USD","LU1699723380.USD","LU0426412945.USD","LU2191332357.HKD","LU0211327993.USD","IE000KEQY171.SGD","LU0788109477.HKD","LU0868494617.USD","IE00BHPRN162.USD","LU1670711123.USD","LU1066051498.USD","IE0004445239.USD","LU1791710400.SGD","LU2242650005.HKD","GOOP","LU0985320562.USD","LU0079474960.USD","LU2357305700.SGD","LU1242518931.SGD","LU0820561909.HKD","LU1571399168.USD","LU0354030511.USD","LU2106854487.HKD","LU2458330243.SGD","IE00BFMHRM44.USD","LU1066051811.HKD","LU0345774391.USD","LU0964807845.USD","IE00B19Z3B42.SGD","LU1043141123.HKD","LU2023250843.SGD","LU2430703251.USD","LU0738911758.USD","GOOX","LU1267930490.SGD","IE00B3SWFQ91.USD","IE00BN8TJ469.HKD","LU0072462426.USD","LU2404859667.USD","LU0683600562.USD","BK4573","BK4576","LU0943347566.SGD","LU1003077747.HKD","LU2361044865.SGD","LU2860962120.EUR","LU1066053197.SGD","LU1894683264.USD","LU1674673691.USD","LU0048573561.USD","LU2087625088.SGD","LU2552382058.USD","LU1244550577.SGD","LU0878866978.SGD","LU1868836757.USD","LU0994945656.USD","LU1084165304.USD","LU0985489474.SGD","LU0265550946.USD","LU1720051017.SGD","SGXZ81514606.USD","LU1670711040.USD","LU0211326839.USD","LU2746668461.USD","LU2097829019.USD","IE00BJTD4N35.SGD","LU1435385759.SGD","BK4592","LU0251132253.USD","IE0002270589.USD","LU0787776722.HKD","LU2317271919.USD","LU1059921491.USD","LU0882574139.USD","LU2764263203.CNY","BK4579","IE0003U64NQ7.SGD","LU1935042991.SGD","LU2322448957.HKD","BK4566","LU0477156953.USD","IE00BN29S564.USD","LU0251131958.USD","LU0353189763.USD","LU1935042488.USD","IE00BKDWB100.SGD","LU1803068623.USD","LU2168564222.USD","LU0175139822.USD","LU2543165471.USD","LU0094547139.USD","LU0276348264.USD","LU0320765489.SGD","LU1989764748.USD","LU1674673428.USD","LU0784385170.HKD","LU2326559502.SGD","LU0130518102.USD","LU0289960550.SGD","LU1551013342.USD","LU0203347892.USD","LU2750360997.AUD","SGXZ51526630.SGD","LU0320765059.SGD","LU0719512351.SGD","LU0792757196.USD","IE00BMPRXQ63.HKD","LU2272731600.USD","LU0345774631.USD","LU2244417387.USD","IE0009G5SDU7.USD","LU2087621335.USD","LU2505996509.AUD","LU1917777945.USD","LU0234570918.USD","LU0265550359.USD","LU2381873111.SGD","LU1951200564.SGD","IE0034235303.USD","BK4533","IE00BFSS7M15.SGD","LU0979878070.USD","SG9999014880.SGD","IE00BKPKM429.USD","LU0312595415.SGD","LU0345770308.USD","LU1489326972.SGD","BK4587","LU0557290698.USD","LU1069344957.HKD","LU1803068979.SGD","LU1429558221.USD","LU0154236417.USD","IE00BWXC8680.SGD","LU1548497426.USD","LU2360032135.SGD","LU0109392836.USD","LU0267386448.USD","LU0314104364.USD","LU0211328371.USD","LU0784385840.USD","IE00B1BXHZ80.USD","LU1815333072.USD","LU1564329115.USD","LU1720051108.HKD","LU1815336760.USD","LU1642822529.SGD","LU0724617625.USD","LU0949170426.SGD","LU2133065610.SGD","IE0001KFT4U8.USD","GOOGL","BK4574","LU2456880835.USD","LU2720916845.USD","LU0640476718.USD","LU2028103732.USD","LU2237438978.USD","LU0128525929.USD","LU2242649171.HKD","LU1244550494.USD","LU0225283273.USD","LU1935043023.USD","LU1551013425.SGD","IE00BJLML261.HKD","IE00BJTD4V19.USD","LU0689472784.USD","LU1221951046.USD","LU1066051225.USD","IE00BKVL7J92.USD","SG9999002224.SGD","BK4077","LU1153585028.USD","LU0345769631.USD","LU1564329461.SGD","LU0444973449.USD","IE00B19Z8W00.USD","LU0823421416.USD","LU0187121727.USD","LU1267930813.SGD","LU2505996681.GBP","IE00BFSS8Q28.SGD","LU0648001328.SGD","LU2361044949.HKD","LU0708994859.HKD","LU2089283258.USD","IE00BJJMRX11.SGD","LU1201861249.SGD","LU1232071149.USD","LU2362541273.HKD","LU2756315318.SGD","LU1323610961.USD","LU1585245621.USD","BK4524","LU0158827948.USD","LU1506573853.SGD","LU0210536198.USD","LU2347655156.SGD","LU0158827781.USD","LU1301847155.USD","LU0256863902.USD","LU2265009873.SGD","LU1814569148.SGD","SGXZ31699556.SGD","LU0211331839.USD","LU1732800096.USD","LU0106261372.USD","LU0642271901.SGD","LU1121112475.USD","LU0708995401.HKD","LU0661504455.SGD","LU1868836591.USD","IE0005OL40V9.USD","LU2168563687.JPY","LU0130103400.USD","LU0980610538.SGD","SG9999017495.SGD","LU0494093205.USD","LU1992135472.HKD","IE00B7SZLL34.SGD","LU1861558580.USD","LU0256863811.USD","LU1935043536.SGD","LU0068578508.USD","LU0107464264.USD","LU1992135399.USD","BK4534","LU1564329628.SGD","LU1629891620.HKD","LU2092937148.SGD","LU0198837287.USD","BK4598","LU1303367103.USD","LU2750360641.GBP","LU2089284900.SGD","LU0308772762.SGD","LU0052756011.USD","LU1074936037.SGD","LU0061475181.USD","HK0000914660.USD","LU2097344357.USD","X","LU0868494708.USD","LU2552382132.HKD","LU2458330169.SGD","LU0210528500.USD","LU1868836914.USD","SGXZ99366536.SGD","LU1988902786.USD","BK4550","LU0310799852.SGD","LU0942090050.USD","LU2462157665.USD","IE000YTNTUN2.SGD","LU1868837136.USD","LU2471134952.CNY","LU1267930227.SGD","LU1868837300.USD","LU2168564065.EUR","LU0070217475.USD","LU2065171311.SGD","LU2463028550.USD","SG9999015952.SGD","LU1823568750.SGD","IE000W1ABFV2.USD","IE00B7KXQ091.USD","LU0528227936.USD","LU2896262040.SGD","LU0323591593.USD","LU0096362180.USD","BK4538","LU1261432733.SGD","LU1035775433.USD","LU1670628061.USD","BK4503","LU2213496289.HKD","LU2430703178.SGD","LU0070302665.USD","LU0251142724.SGD","LU2764262908.HKD","BK4527","IE00BQXX3D17.EUR","LU0128525689.USD","LU0417517546.SGD","LU0648000940.SGD","LU1839511570.USD","LU2098885051.SGD","LU2054465674.USD","LU2247934214.USD","IE00B19Z8X17.USD","LU2211815571.USD","BK4588","GOOY","SG9999018865.SGD","IE0004445015.USD","LU1280957306.USD","LU2168564149.EUR","SG9999015978.USD","LU2092627202.USD","LU1496350502.SGD","LU0203345920.USD","LU0784383803.USD","SG9999015945.SGD","LU1496350171.SGD","LU0149725797.USD","LU0210533765.USD","LU1201861165.SGD","IE00B19Z9505.USD","LU0203201768.USD","IE00BMPRXN33.USD","LU1316542783.SGD","LU2361045086.USD","IE00BLSP4452.SGD","LU1670710588.SGD","LU2461242641.AUD","LU2756315664.SGD","LU2491050154.USD","LU0310800379.SGD","LU2237957811.SGD","LU0342679015.USD","LU0444971666.USD","LU0061474705.USD","LU0476273544.USD","LU2764263039.SGD","LU0957808578.USD","IE0004091025.USD","LU0690374615.EUR","LU1046421795.USD","LU0097036916.USD","LU0302445910.USD","LU2322448791.USD","LU0345768153.USD","LU1633808545.USD","LU1244550221.USD","IE00BMPRXR70.SGD","LU1718418525.SGD","SG9999000418.SGD","IE000ITXATA3.USD","LU2471134796.USD","LU1043141396.HKD","LU2471134523.USD","LU2077746001.SGD","LU1119994496.HKD","LU1242518857.USD","IE00BQXX3F31.USD","LU0466842654.USD","LU1989764664.SGD","LU1196500208.SGD","GOOW","LU2552382215.SGD","LU0823421333.USD","LU0726765562.USD","BK4543","LU0011850046.USD","LU0820561818.USD","LU2592432038.USD","LU0048584097.USD","LU0795875086.SGD","LU2097344431.USD","BK4514","IE0004086264.USD","SG9999002232.USD","LU1852331112.SGD","LU2065169927.USD","LU1804176565.USD","LU1267930573.SGD"],"gpt_icon":1},{"id":"2606510751","title":"杨植麟亲自发布Kimi K2.5开源新王:指挥“智能体大军”,效率暴涨450%","url":"https://stock-news.laohu8.com/highlight/detail?id=2606510751","media":"智东西","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2606510751?lang=zh_cn&edition=fundamental","pubTime":"2026-01-27 20:59","pubTimestamp":1769518745,"startTime":"0","endTime":"0","summary":"杨植麟分享称,K2.5是Kimi迄今为止最强大的模型。面对复杂任务时,Kimi K2.5可自主调度包含多达100个子智能体的集群,并行执行最高1500次工具调用。相较于单智能体模式,其任务执行效率提升最高达4.5倍。▲K2.5模型性价比对比外网网友对Kimi K2.5模型的评价可以说是好评如潮。FireworksAI联合创始人兼首席技术官Dmytro Dzhulgakov评论称“Kimi K2.5=开源SOTA推理+视觉+256K 上下文+智能体编码”。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://tech.ifeng.com/c/8qGNYrS0vOG","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":["BK4516","X","BK4006","BK4585","BK4520","BK4588"],"gpt_icon":0},{"id":"2606261089","title":"特朗普想“要”什么?","url":"https://stock-news.laohu8.com/highlight/detail?id=2606261089","media":"格隆汇","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2606261089?lang=zh_cn&edition=fundamental","pubTime":"2026-01-26 08:21","pubTimestamp":1769386905,"startTime":"0","endTime":"0","summary":"近期“乱象”的影响?","market":"sg","thumbnail":"https://img3.gelonghui.com/dabe6-8c757c3d-6de4-43a1-a31d-f3fe9abff03b.jpg?guru_height=852&guru_width=1280&guru_size=117444","type":0,"news_type":0,"thumbnails":["https://img3.gelonghui.com/dabe6-8c757c3d-6de4-43a1-a31d-f3fe9abff03b.jpg?guru_height=852&guru_width=1280&guru_size=117444"],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.gelonghui.com/p/3666101","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":"gelonghui_highlight","symbols":["SDS","SSO","BK4585","IEF","X","GOVT","OEX","BK4588","VALE",".SPX","BK4550","IVV","BK4559","ESmain","UPRO","00300","MESmain","SHY","SPXU","IEI","BK4581","000333","BK4534","BK4504","SH","OEF"],"gpt_icon":1},{"id":"2606318259","title":"涨幅远超芯片和Mag 7,全球矿业股成为基金经理“头号配置目标”","url":"https://stock-news.laohu8.com/highlight/detail?id=2606318259","media":"华尔街见闻","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2606318259?lang=zh_cn&edition=fundamental","pubTime":"2026-01-25 14:49","pubTimestamp":1769323741,"startTime":"0","endTime":"0","summary":"全球矿业股正成为基金经理配置新宠,AI繁荣与关键矿产供应紧张推动行业进入新一轮“超级周期”,金属与矿业指数大幅跑赢科技巨头。随着投资逻辑从周期驱动转向结构性需求,矿业股估值虽大幅上涨但仍处于历史低位,行业并购活跃,机构对价格前景存在分歧但长期看涨情绪占主导。","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":null,"url":"https://wallstreetcn.com/articles/3764095","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/3764095","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":["MAGS","BK4585","VALE","X","BK4588","BK4535"],"gpt_icon":1},{"id":"2605942385","title":"RootData 透明度警报:ByteNova、Endless、Ark of Panda、Chainge 等项目缺失核心信息","url":"https://stock-news.laohu8.com/highlight/detail?id=2605942385","media":"链捕手","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2605942385?lang=zh_cn&edition=fundamental","pubTime":"2026-01-23 11:54","pubTimestamp":1769140481,"startTime":"0","endTime":"0","summary":" ChainCatcher 消息,Web3 资产数据平台 RootData 在推特(X)发表日常透明度警报,ByteNova、Endless、Tune.FM、Ark of Panda、Chainge 等项目的融资信息存疑,呼吁项目方在 RootData上提交/更新资料,提升其透明度评分。此外,RootData 表示将持续监督和曝光缺失核心信息的“黑盒”项目。\n\n据悉,RootData 透明度评分用于衡量项目的完整性与时效性,旨在反映项目的信息披露情况。透明度评分从高到低分为 A-F 级共 5 个等级,评分越低,代表该项目信息披露越不完整,作恶风险越高,投资者需高度警惕。 ","market":"fut","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.chaincatcher.com/article/2239817","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":["BK4588","BK4516","BK4006","BK4520","X","BK4585"],"gpt_icon":0},{"id":"2605917126","title":"海外人士:用“韧性”概括2025年中国经济表现最为贴切","url":"https://stock-news.laohu8.com/highlight/detail?id=2605917126","media":"北京日报客户端","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2605917126?lang=zh_cn&edition=fundamental","pubTime":"2026-01-21 16:03","pubTimestamp":1768982580,"startTime":"0","endTime":"0","summary":"底盘稳——经济稳定运行展现强大韧性2025年的中国经济,“稳”是突出特点。“用‘韧性’概括2025年中国经济表现最为贴切。”放眼全球,2025年中国经济增速在主要经济体中名列前茅,是全球经济增长最稳定、最可靠的动力源,对世界经济增长的贡献率预计达到30%左右。“在全球经济增长乏力背景下,2025年中国经济实现5%的增速‘殊为不易’。”","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/jjxw/2026-01-21/doc-inhiaemx6632304.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":["BK4614","BK4588","EBAY","VALE","ASHS","CWEB","ASHR","CQQQ","BK4585","X","FXI","DRAG","CHAU","MCHI","KWEB"],"gpt_icon":1},{"id":"2604116137","title":"从人工规则到AI猜心:X新算法正在接管你的每一次刷新","url":"https://stock-news.laohu8.com/highlight/detail?id=2604116137","media":"BitPush","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2604116137?lang=zh_cn&edition=fundamental","pubTime":"2026-01-20 21:33","pubTimestamp":1768915982,"startTime":"0","endTime":"0","summary":"马斯克把推特的推荐系统从“人工堆砌规则和大部分启发式算法”改成了“纯靠 AI 大模型猜你喜欢”?1 月 20 日,推特正式披露新推荐算法,即推特首页“为你推荐”时间线背后的逻辑。同时,Author Diversity Scorer 也会降低同一作者同一批次后续帖子的刷屏行为。对于 X 公司: 这是一次降本增效的举措,用算力换人力,用 AI 换留存。对用户而言,我们面对的是一个时刻揣摩人心的“超级大脑”。","market":"us","thumbnail":"https://images.bitpush.news/2026/01/special_cn-20260120-176891595148747685.jpg:3-1768901075519-200x140.jpg","type":0,"news_type":0,"thumbnails":["https://images.bitpush.news/2026/01/special_cn-20260120-176891595148747685.jpg:3-1768901075519-200x140.jpg"],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.bitpush.news//articles/7604412","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":"bit_push_news","symbols":["AI","BK4585","BK4023","BK4516","BK4528","BK4543","BK4587","X","BK4588","BK4006","BK4520","BK4551"],"gpt_icon":0},{"id":"2604930571","title":"美股期货集体走低 机构:风格切换成美股牛市关键变量","url":"https://stock-news.laohu8.com/highlight/detail?id=2604930571","media":"华尔街见闻","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2604930571?lang=zh_cn&edition=fundamental","pubTime":"2026-01-20 16:58","pubTimestamp":1768899511,"startTime":"0","endTime":"0","summary":"截止发稿,美股期货持续走低,道琼斯指数期货跌1.56%,标普500指数期货跌1.70%,纳斯达克100指数期货跌2.00%。随着财政压力、关税威胁以及对美国资产需求的疑虑加剧,10年期美国国债收益率上涨3个基点至4.26%。截至发稿,铜价下跌0.29%至每吨12949美元,价格已从上周创下的13,407美元的历史高点回落。目前的市场走向部分取决于欧盟的应对措施。对于投资者而言,适应这种风格切换,才能在变化的市场中把握新机遇。","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=nesSN20260120133610a72f2790&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=nesSN20260120133610a72f2790&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":["SPY","SPXU","BK4585","UPRO","BK4559","VALE","SH","SSO","ESmain","BK4504","BK4534","OEX","MESmain",".SPX","BK4550","SDS","OEF","X","BK4588","BK4581","IVV"],"gpt_icon":1},{"id":"2603540479","title":"摩根资产管理李德辉:景气度与估值较为匹配,重点关注光模块、锂电、有色、机械、半导体五大方向","url":"https://stock-news.laohu8.com/highlight/detail?id=2603540479","media":"中证金牛座","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2603540479?lang=zh_cn&edition=fundamental","pubTime":"2026-01-16 13:27","pubTimestamp":1768541220,"startTime":"0","endTime":"0","summary":"近日,摩根资产管理(中国)权益均衡成长组资深基金经理李德辉在公司新年首场投资策略会上表示,2026年国内流动性环境预计保持宽松,政策面对市场呵护态度明确,经济展现出较强韧性,宏观环境整体有利于股市表现。这些板块当前景气度与估值水平较为匹配,后续将保持持续重点关注。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260116134141a4ca92f8&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=nesSN20260116134141a4ca92f8&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":["LU1008478684.HKD","LU1152091168.USD","LU0067412154.USD","X","LU1993786604.SGD","03750","PNGAY","BK1116","BK1610","BK1542","02600","ZIJMF","01772","BK1258","BK1229","06031","LU1152091754.HKD","02318","09696","601318","LU1807302812.USD","BK1583","01157","02899","LU0880133367.SGD","601012","LU1960683339.HKD"],"gpt_icon":0},{"id":"2603984146","title":"密歇根州州长称北美自由贸易协定对汽车生产至关重要","url":"https://stock-news.laohu8.com/highlight/detail?id=2603984146","media":"路透中文","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2603984146?lang=zh_cn&edition=fundamental","pubTime":"2026-01-16 00:35","pubTimestamp":1768494923,"startTime":"0","endTime":"0","summary":"密歇根州州长称北美自由贸易协定对汽车生产至关重要路透底特律1月15日 - 密歇根州州长格雷琴-惠特默周四表示,特朗普政府今年达成延长与加拿大和墨西哥的北美自由贸易协定对美国汽车生产至关重要,并对中国作为主要汽车生产国的崛起提出警告。然而,当我们与邻国对抗时,中国就赢了,\"民主党人惠特默在底特律车展上发表演讲时表示。对于因为使用自动化翻译功能而造成的任何损害或损失,路透不承担任何责任。","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"zh","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260115:nL4T3YG1O8:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU0198837287.USD","LU0077335932.USD","IE00BK4W5L77.USD","LU2471134523.USD","LU2471134952.CNY","LU2750360997.AUD","TESL","LU0006061336.USD","BK4534","LU0477156953.USD","TSDD","LU1548497426.USD","IE00B3S45H60.SGD","LU0466842654.USD","LU0097036916.USD","BK4598","LU2326559502.SGD","LU2420271590.USD","LU2756315664.SGD","LU0053666078.USD","LU0820561909.HKD","BK4550","IE00B1BXHZ80.USD","BK4122","LU0823411888.USD","LU2471134879.HKD","TSLZ","LU1852331112.SGD","LU0345769128.USD","LU1861558580.USD","LU2750360641.GBP","LU2087621335.USD","LU0648000940.SGD","LU0708995401.HKD","BK4555","BK4585","LU2249611893.SGD","SG9999015952.SGD","LU0208291251.USD","LU2417539215.USD","TSL","LU1201861165.SGD","LU2290526834.HKD","BK4612","LU2213496289.HKD","LU1496350502.SGD","LU0345769631.USD","LU1232071149.USD","LU1674673691.USD","TSLG","LU2896262040.SGD","IE0034235303.USD","IE00BK4W5M84.HKD","LU0823414478.USD","BK4566","LU0234572021.USD","LU0316494557.USD","LU0109391861.USD","LU0130518102.USD","LU0056508442.USD","LU0323591593.USD","BK4596","LU1720051108.HKD","BK4099","GM","LU1066051225.USD","LU1435385759.SGD","LU1066053197.SGD","LU2756315318.SGD","IE00BSNM7G36.USD","LU0980610538.SGD","TSYY","LU1366192091.USD","LU1861559042.SGD","BK4574","BK4592","LU0648001328.SGD","TSLP","TSLI","LU1429558221.USD","LU0320765059.SGD","LU2250418816.HKD","LU2403377893.USD","LU0345770308.USD","BK4588","LU1674673428.USD","LU0348723411.USD","LU2108987350.USD","LU0130517989.USD","TSLT","LU1778281490.HKD","LU0672654240.SGD","BK4551","LU1629891620.HKD","CRSH","LU1551013342.USD","LU0234570918.USD","BK4511","LU2236285917.USD","SG9999015945.SGD","F","LU0943347566.SGD","LU2063271972.USD","LU0211331839.USD","LU2357305700.SGD","LU0162691827.USD","LU2602419157.SGD","LU1066051498.USD","LU0320765489.SGD","LU1066051811.HKD","IE00B1XK9C88.USD","LU1145028129.USD","X","IE00B19Z9505.USD","TSLQ","BK4533","LU0689472784.USD","LU2462157665.USD","LU2360106780.USD","LU0964807845.USD","TSLS","LU0082616367.USD","LU2456880835.USD","BK4581","LU0072461881.USD","LU2360107168.USD","LU1839511570.USD","IE00BJLML261.HKD","TSLY","LU0070302665.USD","LU1720051017.SGD","LU1861220033.SGD","LU0130103400.USD","LU0345770993.USD","BK4561","LU2471134796.USD","BK4527","BK4604","LU0820561818.USD","BK4548","LU0719512351.SGD","LU1861215975.USD","IE00B19Z8W00.USD","IE00BWXC8680.SGD","SG9999015978.USD","LU1267930730.SGD","TSLR","LU0820562030.AUD","IE00B19Z8X17.USD","LU1551013425.SGD","LU2023250330.USD","LU0477156797.USD","BK4214","LU1914381329.SGD","LU0130102774.USD","TSLL","LU0210536198.USD","BK4516","BK4543","TSLW","SG9999015986.USD","LU1201861249.SGD","IE00B775SV38.USD","BK4559"],"gpt_icon":0},{"id":"2603694317","title":"RootData透明度警报:Geeq、Synthesys、Rubix、Waterfall Network 等项目缺失核心信息","url":"https://stock-news.laohu8.com/highlight/detail?id=2603694317","media":"链捕手","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2603694317?lang=zh_cn&edition=fundamental","pubTime":"2026-01-14 17:52","pubTimestamp":1768384376,"startTime":"0","endTime":"0","summary":" ChainCatcher 消息,Web3 资产数据平台 RootData 在推特(X)发表日常透明度警报,MBD Financials、Geeq、Waterfall Network、Synthesys、Rubix 等项目的融资信息存疑,呼吁项目方在 RootData上提交/更新资料,提升其透明度评分。此外,RootData 表示将持续监督和曝光缺失核心信息的“黑盒”项目。\n\n据悉,RootData 透明度评分用于衡量项目的完整性与时效性,旨在反映项目的信息披露情况。透明度评分从高到低分为 A-F 级共 5 个等级,评分越低,代表该项目信息披露越不完整,作恶风险越高,投资者需高度警惕。 ","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.chaincatcher.com/article/2237368","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":["BK4006","BK4585","BK4588","X","BK4516","BK4520"],"gpt_icon":0},{"id":"2603504010","title":"RootData 透明度警报:Only Layer、Reltime、APX Lending 等项目缺失核心信息","url":"https://stock-news.laohu8.com/highlight/detail?id=2603504010","media":"BitPush","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2603504010?lang=zh_cn&edition=fundamental","pubTime":"2026-01-13 16:31","pubTimestamp":1768293070,"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.bitpush.news//articles/7602197","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":"bit_push_live","symbols":["BK4516","BK4585","BK4520","X","BK4006","BK4588"],"gpt_icon":0},{"id":"2602487385","title":"特朗普政府1.5亿美元入股ATALCO,布局关键矿物镓供应","url":"https://stock-news.laohu8.com/highlight/detail?id=2602487385","media":"智通财经网","labels":["shareholding"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2602487385?lang=zh_cn&edition=fundamental","pubTime":"2026-01-12 21:29","pubTimestamp":1768224577,"startTime":"0","endTime":"0","summary":"智通财经APP获悉,特朗普政府将通过一笔1.5亿美元的股权投资,支持建设美国唯一的大型镓生产商。此项交易是特朗普政府直接投资其视为对美国国家安全至关重要的公司的最新例证。根据一份声明,美国国防部已向ATALCO投资1.5亿美元优先股。ATALCO表示:“这一战略合作是减少在关键矿物上依赖外国的重要一步。”声明称,由品尼高旗下Concord Resources Holdings持有的ATALCO预计最终能实现年产超过100万吨氧化铝和高达50吨镓。","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=nesSN20260112213708a4bae452&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=nesSN20260112213708a4bae452&s=b","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"shareholding","news_rank":0,"length":0,"strategy_id":0,"source":"tencent","symbols":["BK4141","BK4554","BK4543","LU2931357623.SGD","BK4534","BK4612","BK4550","BK4602","LU0321505439.SGD","BK4535","BK4512","LU0274383776.USD","AA","LU0321505868.SGD","BK4605","X","LU2089985449.USD","BK4527","BK4588","BK4533","LU2543165471.USD","04335","LU0097036916.USD","BK4515","BK4529","LU0081259029.USD","LU2148611432.USD","BK4579","BK4585","INTC","BK4575"],"gpt_icon":1},{"id":"2602519219","title":"RootData透明度警报:CureX、Blocktrade、BETRMINT、ABCC 等项目缺失核心信息","url":"https://stock-news.laohu8.com/highlight/detail?id=2602519219","media":"链捕手","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2602519219?lang=zh_cn&edition=fundamental","pubTime":"2026-01-12 19:08","pubTimestamp":1768216111,"startTime":"0","endTime":"0","summary":" ChainCatcher 消息,Web3 资产数据平台 RootData 在推特(X)发表日常透明度警报,CureX、Blocktrade、BETRMINT、ABCC、TradeOgre、Bilaxy 等项目缺失核心信息,呼吁项目方在 RootData上提交/更新资料,提升其透明度评分。此外,RootData 表示将持续监督和曝光缺失核心信息的“黑盒”项目。\n\n据悉,RootData 透明度评分用于衡量项目的完整性与时效性,旨在反映项目的信息披露情况。透明度评分从高到低分为 A-F 级共 5 个等级,评分越低,代表该项目信息披露越不完整,作恶风险越高,投资者需高度警惕。 ","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://www.chaincatcher.com/article/2236675","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["X","BK4006","BK4588","BK4585","BK4516","BK4520"],"gpt_icon":0}],"pageSize":20,"totalPage":4,"pageCount":1,"totalSize":66,"code":"91000000","status":"200"}]}}