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The 20-for-20 Precedent: Post-Election Seasonality Across Asset Classes

A violent unwind across leveraged AI ETFs triggered broad-based equity liquidations this week, fueled by mounting concern over how a Democratic-controlled Congress might restrict or tax hyperscale data center buildouts.

As AI-linked token valuations compress, the market is finally asking the uncomfortable fundamental question: where does value actually accrue?

Chinese listed AI names already provided the playbook: massive capex cycles and headline revenue growth fail to translate into durable equity returns. In that context, the recent drawdown across US tech looks less like an isolated shock and more like an overdue convergence toward that same economic reality. But writing off the broader market misses the forest for the trees: US equity breadth extends well beyond the AI trade, and capital will naturally rotate toward real cash-flow generators.

Chinese Z. AI (Knowledge Atlas Tech, LHS) vs. US Sem SOX ETF (RHS)

While drawdowns of this velocity test conviction, an 80-year historical lens indicates that post-election volatility spikes typically mark cyclical exhaustion rather than structural regime breaks.

With Democrats taking Capitol Hill, higher baseline deficit spending and entitlement expansions are set to accelerate currency debasement trends. Below, we break down the historical precedent across past post-midterm cycles and explain why patient capital should view this washout as an attractive entry point.

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