IWF vs QQQ: Complete Comparison
iShares Russell 1000 Growth ETF vs Invesco QQQ Trust โ overlap, correlation, performance & risk analysis
Visual Overlap
Price Performance
Historical price comparison over 3M
๐Performance Comparison
โ ๏ธRisk Metrics
Interpretation:
- ๐ Lower volatility = smoother ride
- โก Higher Sharpe/Sortino = better risk-adjusted returns
- โ ๏ธ Smaller max drawdown = less worst-case pain
- ๐ Beta > 1 = more volatile than S&P 500
โ๏ธHead-to-Head Comparison
๐ IWF wins this comparison
Key Factors
โถAdditional Metrics (5)
Bottom line: IWF wins with better expense ratio and number of holdings. Consider IWF for your portfolio, but QQQ is still a solid choice if you prefer its specific advantages.
Detailed Overlap Analysis
60 shared holdings representing 59.9% portfolio overlap
Top Shared Holdings
| # | Stock | IWF Weight | QQQ Weight | Overlap |
|---|---|---|---|---|
| 1 | NVDA NVIDIA CORP | 12.71% | 8.99% | 8.99% |
| 2 | AAPL APPLE INC | 11.91% | 7.94% | 7.94% |
| 3 | MSFT MICROSOFT CORP | 10.73% | 7.12% | 7.12% |
| 4 | AMZN AMAZON COM INC | 4.24% | 4.87% | 4.24% |
| 5 | TSLA TESLA INC | 3.85% | 4.21% | 3.85% |
| 6 | GOOGL ALPHABET INC CLASS A | 3.56% | 3.58% | 3.56% |
| 7 | META META PLATFORMS INC CLASS A | 3.29% | 3.85% | 3.29% |
| 8 | AVGO BROADCOM INC | 5.62% | 3.24% | 3.24% |
| 9 | GOOG ALPHABET INC CLASS C | 2.91% | 3.35% | 2.91% |
| 10 | NFLX NETFLIX INC | 1.29% | 2.15% | 1.29% |
Overlap by Sector
Showing top 5 sectors by overlap contribution
Top Holdings Only in IWF
Unique to IWF
| Symbol | Name | Weight |
|---|---|---|
| LLY | ELI LILLY | 2.47% |
| V | VISA INC CLASS A | 1.74% |
| MA | MASTERCARD INC CLASS A | 1.37% |
| ABBV | ABBVIE INC | 1.24% |
| ORCL | ORACLE CORP | 1.15% |
Top Holdings Only in QQQ
Unique to QQQ
| Symbol | Name | Weight |
|---|---|---|
| MU | MU | 1.75% |
| CSCO | CSCO | 1.67% |
| TMUS | TMUS | 1.21% |
| SHOP | SHOP | 1.12% |
| LIN | LIN | 1.07% |
Price Correlation
How We Calculate Overlap
We use the minimum weight method with normalization to calculate portfolio overlap:
Overlap = ฮฃ min(weightA, weightB) for each shared holdingNormalization: Holdings weights are normalized to sum to 100% before comparison. This ensures accurate overlap calculations even when analyzing partial holdings data (e.g., top 50 positions).
Conservative approach: We consider only the smaller allocation for each shared position, giving you a realistic view of true portfolio overlap.
๐ This analysis is based on publicly available holdings data. For the most current and complete holdings information, please visit the official ETF provider websites.
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