Nvidia (NVDA) vs Nasdaq 100 (QQQ)
Live side-by-side comparison with current values, changes, and key statistics.
Why This Comparison Matters
Nvidia has become so large that its relative move versus QQQ reveals how much of the Nasdaq rally depends on Nvidia alone. Extended NVDA outperformance is a narrow-leadership warning. When QQQ leads NVDA, participation is broadening across tech, which is usually healthier for the overall equity market.
Cross-Asset Analysis
Nvidia (NVDA) measures nvidia Corp., the AI/GPU chip leader driving the AI capex cycle, while Nasdaq 100 ETF (QQQ) measures invesco QQQ tracking the Nasdaq 100, tech-heavy growth index; tracking the two side by side turns that distinction into a tradable signal for the cross asset pair relationship. Policy interventions can artificially compress or widen the Nvidia (NVDA)-Nasdaq 100 ETF (QQQ) spread, most notably when central banks absorb specific asset classes. Cross-asset flows track macro regime changes with characteristic lags, which is why spreads like Nvidia (NVDA)-Nasdaq 100 ETF (QQQ) often precede coincident indicators.
Policy-driven transitions introduce fast repricing into the Nvidia (NVDA)-Nasdaq 100 ETF (QQQ) relationship because the two markets adjust to policy guidance on different timescales. Macro funds use the Nvidia (NVDA)-Nasdaq 100 ETF (QQQ) spread to express views cleaner than single-asset trades, isolating the exact macro factor they want to bet on. Liquidity-driven windows produce cross-asset co-movement in Nvidia (NVDA) and Nasdaq 100 ETF (QQQ); fundamentals-driven regimes produce separation.
Risk-off regimes concentrate correlations and force the Nvidia (NVDA)-Nasdaq 100 ETF (QQQ) spread into cramped ranges. Cross-asset pairs like Nvidia (NVDA) versus Nasdaq 100 ETF (QQQ) reveal the macro variables that cut across asset classes: liquidity, inflation, real rates, and risk appetite.
90-Day Statistics
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Frequently Asked Questions
What is the relationship between Nvidia (NVDA) and Nasdaq 100 ETF (QQQ)?+
Nvidia (NVDA) and Nasdaq 100 ETF (QQQ) are connected through shared macro drivers across asset classes. When the dominant macro driver shifts, both respond, though with different sensitivities and at different speeds. The spread between Nvidia (NVDA) and Nasdaq 100 ETF (QQQ) captures the specific macro signal that flows through this relationship.
When does Nvidia (NVDA) typically lead Nasdaq 100 ETF (QQQ)?+
Nvidia (NVDA) tends to lead Nasdaq 100 ETF (QQQ) during macro regime changes, where the more liquid asset moves first. In those periods, moves in Nvidia (NVDA) precede corresponding moves in Nasdaq 100 ETF (QQQ) by days to weeks, depending on the transmission channel and the depth of each market.
How are Nvidia (NVDA) and Nasdaq 100 ETF (QQQ) historically correlated?+
Long-run correlation between Nvidia (NVDA) and Nasdaq 100 ETF (QQQ) varies by regime. Cross-asset correlations vary by regime, tending to tighten in stress and loosen during normal conditions. The correlation is not stable: it shifts with macro conditions, and the periods when it breaks down are often the most informative moments in the Nvidia (NVDA)-Nasdaq 100 ETF (QQQ) relationship.
What macro conditions drive divergence between Nvidia (NVDA) and Nasdaq 100 ETF (QQQ)?+
Divergence between Nvidia (NVDA) and Nasdaq 100 ETF (QQQ) typically arises from idiosyncratic shocks in one asset, policy interventions, or structural shifts in demand. When one asset's idiosyncratic drivers dominate, the spread moves in ways that the common macro story does not predict, which is usually a signal to look more carefully at the specific drivers at work in Nvidia (NVDA) or Nasdaq 100 ETF (QQQ).
Is Nvidia (NVDA) a hedge for Nasdaq 100 ETF (QQQ)?+
Cross-asset hedges between Nvidia (NVDA) and Nasdaq 100 ETF (QQQ) work when the macro drivers of the two assets are sufficiently decorrelated, which depends on the regime and therefore needs to be reviewed as conditions change. Effective hedging requires matching the hedge to the specific risk being protected, and the Nvidia (NVDA)-Nasdaq 100 ETF (QQQ) pair is best stress-tested under scenarios the investor most worries about before being sized into a real portfolio.
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Data sourced from FRED, CoinGecko, CBOE, and other providers. This page is for informational purposes only and does not constitute financial advice. Past performance does not guarantee future results.