Performance history will appear here as tracked data accumulates.
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QQQ LongPerformance +10.12%Current weight 54.12%
Description Core expression of the stated thesis. The post explicitly prefers QQQ because it aligns with passive flows, captures Nasdaq concentration, and reflects broad AI-driven earnings upside without needing to pick winners.
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SOXX LongPerformance +23.85%Current weight 22.14%
Description Named by the author as a more levered and direct AI-bubble expression. It adds semiconductor torque to the portfolio while remaining faithful to the post’s AI capex and recursive-compute narrative.
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NVDA LongPerformance +6.35%Current weight 9.50%
Description The most direct listed beneficiary of AI compute demand and a major driver of Nasdaq concentration effects discussed in the post. It also fits the author’s argument that the biggest stocks become increasingly flow-sensitive.
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MSFT LongPerformance +16.75%Current weight 7.30%
Description Large Nasdaq weight with direct AI monetization across cloud, copilots, and enterprise software. Fits the thesis that AI boosts margins and earnings breadth beyond just chipmakers.
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AMZN LongPerformance +2.63%Current weight 4.59%
Description Nasdaq heavyweight exposed to both AI capex and downstream productivity gains. It matches the post’s view that many broad index constituents can enhance margins through AI adoption.
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META LongPerformance -12.41%Current weight 2.35%
Description Another large-cap Nasdaq beneficiary of AI-driven engagement, ad efficiency, and operating leverage. It also participates in the flow/concentration dynamic emphasized in the post.