Situational Awareness

This Week in the Market

The dominant story this month was not an earnings miss or a Fed decision. It was a margin call. Situational Awareness, the AI-focused fund run by 24-year-old Leopold Aschenbrenner, went from roughly $45 billion at the start of July to about $10 billion by the 30th, after prime brokers forced a distressed sale of its levered public positions to Citadel. Rival traders had reverse-engineered the book and shorted into it, knowing the selling had to come.

Underneath the forced selling, big tech reported and the market split them. Microsoft and Amazon were rewarded — Amazon rose about 15% on Friday as AWS reaccelerated, even while raising 2026 capex 10% to $220 billion. Meta and Apple were punished for spending on the same buildout.

Current Trade Idea: META

Meta reported on July 29 and the market treated it as a disaster. Revenue was $60.8 billion, up 28% year over year and ahead of consensus. Ad impressions rose 14%, price per ad rose 12%, and daily active people reached 3.60 billion.

The stock fell anyway. Shares closed Friday near $556, about 30% below the 52-week high of $796.25. This is our February CapEx Fears trade with a different ticker. 

In the next section, we'll outline how we're buying it.

Meta Platforms (META) – Asymmetric Opportunity

Our approach is staged accumulation with size increasing into weakness. Initial exposure at these levels is deliberately small. The real work happens lower.

$500 and below is the zone that matters. Between here and $500 we add modestly. 

When we trade, we look for asymmetry. From $500, we believe Meta is significantly more likely (80-90%) to go to $750, than it is to go to $250.

Take enough of these asymmetric trades and you'll do great.

Disclaimer: We own shares of AMZN, and META as of writing this. The content in this newsletter is for informational and educational purposes only and should not be considered financial, investment, or legal advice. A4K Capital and its affiliates are not responsible for any financial losses or decisions made based on the information provided.


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