Long-form research from the QuantAbundancia desk. Methodology, bubble deep-dives, and capital-flow analysis backed by live data from the platform.
Editorial taxonomies tell you what stocks SHOULD trade together. Correlation tells you what stocks ACTUALLY trade together. Most of the time, those are different lists.
MSFT, GOOGL, AMZN, META, ORCL look like an AI capex bloc. The data says no. Raw correlation 0.65 collapses to ~0.05 under residualization. SPY in a costume.
QBTS, RGTI, IONQ, ARQQ, QUBT — five pre-revenue stocks with the highest residualized correlation in the AI taxonomy. Why they trade as one, and how to size the bet.
Twelve editorial bubbles in the AI supercycle. We measured all of them with 252-day residualized correlations. Half are real. Half are SPY in a costume.
The market beta hidden in 'AI bubbles' makes correlation matrices useless until you strip it. Worked example: why Hyperscalers fail the test and Quantum passes.
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