Performance history will appear here as tracked data accumulates.
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QQQ LongPerformance +12.18%Current weight 54.73%
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 +27.96%Current weight 22.70%
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 postโs AI capex and recursive-compute narrative.
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NVDA LongPerformance +0.47%Current weight 8.91%
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 authorโs argument that the biggest stocks become increasingly flow-sensitive.
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MSFT LongPerformance +5.96%Current weight 6.58%
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 +2.90%Current weight 4.56%
Description Nasdaq heavyweight exposed to both AI capex and downstream productivity gains. It matches the postโs view that many broad index constituents can enhance margins through AI adoption.
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META LongPerformance -5.68%Current weight 2.51%
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.