Wednesday, October 28, 2026

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@ACapitalLP

A Capital on X

𝗣𝗲𝗿𝗰𝗲𝗽𝘁𝗶𝗼𝗻 𝗜𝘀 𝘁𝗵𝗲 𝗧𝗿𝗮𝗱𝗲. It’s funny: most people think the proliferation of information has made finding dislocations harder. I’d argue the opposite. When information was scarce, speed was the edge. Today the problem is information overload. Social media, AI, headlines, experts, hot takes. Just like different news organizations (CNN, Fox, MSNOW) can frame the same political candidate through completely different lenses, markets create narratives that can overwhelm the underlying facts. Every trade is a spread between perception and truth. Merger arb just makes that spread explicit because you have a relatively fixed endpoint (the deal consideration). Regular-way equities are harder because “truth” is a moving target. But you don’t need to know whether $TLN is worth $350, $370 or $390 to recognize when Josh Shapiro and data-center pushback have distorted perception enough to send it to $270. You don’t need to perfectly value every business line of $OWL to recognize when a Bloomberg story has caused the market to paint the entire business with the private-credit apocalypse brush. And it works both ways: $GLND wasn’t suddenly a critical-minerals bonanza because of a Trump headline. Sometimes the narrative creates the overvaluation. Having the best model or talking to the most experts helps you estimate truth. But truth without an understanding of perception isn’t a trade. You can be a little wrong on intrinsic value and still make a lot of money if you correctly identify that the market’s narrative has overshot reality. The edge today isn’t knowing whether something is worth exactly $37 or $39. It’s understanding why it’s trading at $27 in the first place, whether that perception is wrong, and what makes the gap close…

Danaher’s robotics era

Danaher’s new CEO paired a Q3 beat and raised EPS outlook with a 2027 4%-5% organic-growth starting point, while pitching AI-enabled…

ORCL Update

Oracle rose about 12% intraday on October 28, 2026 as AI infrastructure and cloud-demand sentiment improved and credit-spread concerns…

Meta Earnings, Muse and the Frontier, Musebook

Meta’s earnings hinge on whether investors back Zuckerberg’s Muse vision and the compute spending required to build it.

Anthropic Deep Dive

Anthropic’s $80.7 billion first-half loss was mostly fair-value marks, while $16.3 billion revenue and compute economics showed a $974…

My Last GFL Update - Hopefully

GFL’s take-private structure hinges on BC Partners rolling 60% of its stake to preserve debt portability under the 40% permitted-holder…

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