GFS

Prezzo GlobalFoundries Inc

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GFS
$65,32
+$0,97(+1,50%)

*Data last updated: 2026-05-04 05:43 (UTC+8)

As of 2026-05-04 05:43, GlobalFoundries Inc (GFS) is priced at $65,32, with a total market cap of $36,11B, a P/E ratio of 21,96, and a dividend yield of 0,00%. Today, the stock price fluctuated between $43,93 and $65,79. The current price is 48,69% above the day's low and 0,71% below the day's high, with a trading volume of 2,03M. Over the past 52 weeks, GFS has traded between $43,93 to $65,79, and the current price is -0,71% away from the 52-week high.

GFS Key Stats

Yesterday's Close$64,60
Market Cap$36,11B
Volume2,03M
P/E Ratio21,96
Dividend Yield (TTM)0,00%
Diluted EPS (TTM)1,59
Net Income (FY)$885,00M
Revenue (FY)$6,79B
Earnings Date2026-05-05
EPS Estimate0,35
Revenue Estimate$1,62B
Shares Outstanding559,08M
Beta (1Y)1.461

About GFS

GLOBALFOUNDRIES Inc. operates as a semiconductor foundry worldwide. It manufactures integrated circuits, which enable various electronic devices that are pervasive. The company manufactures a range of semiconductor devices, including microprocessors, mobile application processors, baseband processors, network processors, radio frequency modems, microcontrollers, power management units, and microelectromechanical systems, as well as offers mainstream wafer fabrication services and technologies. The company was founded in 2009 and is based in Malta, New York.
SectorTechnology
IndustrySemiconductors
CEOTimothy Graham Breen
HeadquartersMalta,NY,US
Employees (FY)14,00K
Average Revenue (1Y)$485,07K
Net Income per Employee$63,21K

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GlobalFoundries Inc (GFS) is currently trading at $65,32, with a 24h change of +1,50%. The 52-week trading range is $43,93–$65,79.

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**XWwYIG**

**XWwYIG**

04-27 12:41
Polymarket 上的天气市场,被中国交易员黑入,破解成了印钞机。 本金 240 美元,利润 8.3 万美元。他的机器人只做一件事:读天气数据。 没有对冲基金,没有内幕数据源,没有气候学博士学位。就是一个写代码的人,一个脚本,一个免费的天气 API。 我花了一整天反向拆解他的脚本,看完头皮发麻: > 没有庞大的天气数据库 > 没有卫星云图,也没有雷达接口 > 更不是什么“火箭科学”级别的气候模型 他的Polymarket主页: 核心逻辑拆开就三层: 1. 他不预测天气,他套利市场里的错误定价 Polymarket 上问:“明天纽约最高温 52–54°F 吗?” 大多数赌徒 → 凭感觉猜。 NOAA 气象预报 → 准确率 85–90%。 bot 把两者放一起比。 市场定价 15 美分,预报显示概率 45%。 → 白捡的钱。 他不是在赌天气,他是在把“过度虚高的不确定性”卖给赌徒。 2. 多模型投票,不迷信单一数据源 他从来不只信一个气象模型。 bot 同时拉 4 套数据: • GFS • ECMWF • UKMO • NWS 31 次模型计算里,28 次说“高于 70°F” → 真实概率 90%。 而此时市场的定价只有 60 美分? → 碾压级优势。 只有当真实概率与市场价的差距超过 5–8% 时,机器才出手。 没有优势,就不交易。 3. 脏活细节:机场校准 这个细节,能卡死 99% 试图模仿的人。 > 纽约市场的结算依据是拉瓜迪亚机场 > 达拉斯用的是爱田机场 > 而不是市中心温度 机场和市区的温差,往往在 3–8°F。 对于 1–2°F 的窄区间市场,这个偏差就是天堂和地狱的距离。 他知道。别人不知道。 剩下的,交给规模去滚: • 几百笔微交易 • 60 多个城市 • 用凯利公式计算仓位 单笔只赚几美元。 但每天复利,持续 10 个月。 240 美元 → 8.3 万美元。 市场不是赢不了科学, 它只是反应太慢了。
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