Schwab Network

Reid l'Anson talks about the geopolitical movers hitting the energy trade beyond the U.S.-Iran war and focuses on how the Russia-Ukraine war adds to mounting headwinds. Turning to the U.S. itself, Reid addresses how he sees it shaping the Fed's interest rate decision in October.

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The correlation between crude oil and Treasury yields moving higher is breaking, says Kevin Green. He highlights how the former moving lower as the latter inches higher raises a new warning flag investors need to watch. So when will markets see a relief bounce in equities? KG believes it will come once Wall Street gets through his week's inflation and jobs data. President Trump's meeting with top AI leaders from Nvidia (NVDA), AMD Inc. (AMD), and Meta Platforms (META) among others led to a "White House Accord on Super Intelligence." KG tells investors not to miss Micron (MU) earnings after the close.

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Moderna (MRNA) and its "overexuberant" breakout takes Patrick Ciummo of Charles Schwab's focus. He shows how the 30-day price action ran hot and how it sets the stage for a likely cooldown in the coming sessions.

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Fair Isaac (FICO) closed as the worst performer on the S&P 500 (SPX) on its worst session since 1989. On the other side of the index, Carnival (CCL) and Bloom Energy (BE) closed as the top performers. Marley Kayden has more on Tuesday's biggest market movers.

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Anthropic may be the biggest IPO poised to hit public markets, but don't miss headlines surrounding Oura and its own IPO delay. Sam Vadas explains how the headline reflects the souring market sentiment. That sentiment extends to consumer confidence, with Marley Kayden touching on what's driving the freefall in that report between August and September.

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Futurum CEO Daniel Newman addresses the back-and-forth sentiment surrounding AI development for safety reasons. He agrees that guardrails are needed by highlighting arguments in the middle ground between Nvidia (NVDA), Meta Platforms (META), Anthropic, and OpenAI leadership. Daniel explains how those same concerns were shown in Anthropic's leaked IPO prospectus as the company readies for a $2 trillion public market debut — the largest on record if that number sticks. As for Micron (MU) earnings Wednesday, Daniel remains bullish due to the AI memory giant's vast reach.

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Matthew Sheffield says the discourse around Bitcoin and crypto regulation actually did a favor for the space. He says the concerns highlighted by dissenting opinions on the Clarity Act, paired with calls for more guardrails, were the catalysts that drove federal institutions to make that call themselves. Matthew discusses the repricing of crypto assets and the needs banking institutions see for deeper crypto integration. Treasury yields rising and geopolitical woes are factors he sees adding risk to the crypto space.

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Eli Tan, technology reporter for The New York Times, talks about how he had Meta Platforms' (META) Muse AI agent "take over my life." He considers it "one of the most useful AI products" after giving it access to financial, personal, and professional information. That said, Eli recounts times where Muse got "tripped up" and needed human assistance. He walks through his key takeaways after using the AI agent extensively and how it shifts his viewpoint on the rise of artificial intelligence.

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Joe Sticco says regulators are "picking up the ball and running" to create new guardrails on crypto following the failed Clarity Act vote from the Senate. He discusses ways federal rules will help lift Bitcoin in an attempt to start a new bull cycle. Joe also touches on how the blockchain continues to blur the line between traditional and evolving investment strategies.

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Mike Khouw breaks down the launch of MUYY, a single-option income ETF on Micron Technology (MU) that generates weekly income through covered call spreads. He notes an implied move of about $81 ahead of earnings, with JPMorgan expecting a beat and raise, and Micron trading under 7x forward earnings with revenue up 10x since 2023 and options volume rivaling Nvidia (NVDA) and Tesla (TSLA). He also weighs AI demand sustainability and gross margins near 80% that could draw competition in 18 to 24 months.

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