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周二亚洲股市经历了周一的技术性反弹之后还是回归了下跌,介于周三美股关键财报公布在即,科技股还是保持相对的谨慎 宏观压力依旧存在,Brent价格依旧维持在110美元附近,导致市场对人工智能交易信心还是处于脆弱阶段,于此同时软银公司信用风险攀升至4年以来最高水平,更是引发市场担忧 而Q3美股财报季市场想要看到的是“大量资本开支下企业能否证明AI可以盈利覆盖投入”,而韩国 Elice Group率先接受考验,因为宏观压力,同时又承受市场质疑导致韩国股市开盘期间大幅下跌 接下来周三就是关键财报 META TSLA,这两家公司需要给市场给自的满意答案: META:营收增长能不能覆盖AI资本开支! TSLA:企业利润还不能支撑AI与自动驾驶出租车的叙事 如果不能满足市场的答案,美股科技股的估值还是要调整,符合预期也会受到宏观压力压制,只有拿出一份超预期的财报才能对抗目前的宏观压力!接下来就看今晚美股时间的表现了!#SpaceX上市后首份完整季度财报将揭晓
Cato_KT
Cato_KT
Macro pressure + 5% risk-free rate VS US stock earnings test, who has the advantage this week?
Macro pressure + 5% risk-free rate VS US stock earnings test, who has the advantage this week? This week is considered a macro vacuum period. The macro side's core focus is on the impact of Brent prices on market pricing: Above $110, energy shock worsens inflation, bearish for risk assets and US bonds; $105-110, high-risk exposure expansion range, risk markets under pressure; $100-105, high-risk pressure relief, risk markets temporarily loosen; $95-100, risk pressure relief and loosening, favorable for risk assets; $90-95, inflation shock reverses Fed rate hike trend. If Brent does not fall back to the safe range, rate hike expectations will surge, and long-term US bond yields will squeeze and absorb market liquidity, suppressing the US stock market. #SpaceX's first full quarterly earnings report after listing will be revealed. The core of this week's US stock market is META's earnings report, which is also a key test of market confidence in artificial intelligence. At the current stage, the earnings logic has officially moved from AI industry narrative validation to the second phase: AI capital expenditure → where the money comes from → ROI amount? → free cash flow → whether profit growth can cover costs. Therefore, the Q3 earnings season is not just about AI capital spending getting bigger, but about whether the AI business logic of tech companies forms a closed loop that brings effective ROI returns while investing. Reflected in corporate earnings, this means looking at four major factors: revenue growth + AI capital expenditure + free cash flow + 2027 guidance, rather than just judging by EPS alone. And continuing

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