1-year: QQQ has the better risk-for-reward trade-off (higher Sharpe).
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3-year: NVDA wins on efficiency per unit of risk (higher Sharpe), despite a bumpier ride.
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Use it: Keep QQQ as core, add NVDA as a smaller satellite, and rebalance on bands.
The Data (assumes a 4.0% risk-free rate)
| Asset | Horizon | Return (annualized) | Risk-free rate | Std-dev (annualized) | Sharpe |
|---|---|---|---|---|---|
| QQQ | 1 year | 23.7% | 4.0% | 15.5% | 1.3 |
| QQQ | 3 years | 32.1% | 4.0% | 16.8% | 1.7 |
| NVDA | 1 year | 46.6% | 4.0% | 37.5% | 1.1 |
| NVDA | 3 years | 146.5% | 4.0% | 65.7% | 2.2 |
Sharpe = (Return − Risk-free) / Volatility, all annualized and measured over the stated windows.
What the numbers say (plain English)
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Last 12 months:
QQQ is more efficient (Sharpe 1.3 vs 1.1). NVDA returned more in absolute terms, but its swings were ~2.4× larger, so you were paid less per unit of bumpiness. -
Past 3 years:
NVDA dominates (Sharpe 2.2 vs 1.7). Its extraordinary compounding more than outweighed higher volatility, so each unit of risk paid more than QQQ’s. -
Regime signal:
Both assets show higher Sharpe at 3Y than 1Y, hinting the broader 2023–2025 stretch was stronger than the most recent year alone. -
Risk reality check:
NVDA’s volatility (37.5%/65.7%) is far higher than QQQ’s (15.5%/16.8%). Expect bigger drawdowns and wider day-to-day moves with NVDA.
Projection (Sharpe-only)
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Next 12 months: QQQ is more likely to post the higher Sharpe (steadier path). NVDA can beat QQQ only if returns stay exceptional and volatility cools.
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Next ~3 years: NVDA can retain the Sharpe lead if AI-driven growth persists; QQQ remains stable and consistent, with a smoother Sharpe through cycles.
How to use this (simple playbook)
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Core–satellite: Make QQQ your core equity sleeve; use NVDA as a smaller satellite sized to your drawdown tolerance.
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Rebalance on bands: Example: target 80% QQQ / 20% NVDA; rebalance when either drifts ±20% of target (i.e., NVDA >24% or <16%).
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Stay consistent: Recompute Sharpe on the same windows, with the same risk-free and return frequency so the comparison remains apples-to-apples.
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