SPY vs XLK Overlap AnalysisOverlap
Comparing SPDR S&P 500 ETF Trust and Technology Select Sector SPDR Fund
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 SPY wins this comparison
Key Factors
โถAdditional Metrics (5)
Bottom line: SPY wins with better expense ratio and number of holdings. Consider SPY for your portfolio, but XLK is still a solid choice if you prefer its specific advantages.
Detailed Overlap Analysis
66 shared holdings representing 34.5% portfolio overlap
Top Shared Holdings
| # | Stock | SPY Weight | XLK Weight | Overlap |
|---|---|---|---|---|
| 1 | NVDA NVDA | 7.73% | 14.84% | 7.73% |
| 2 | AAPL AAPL | 6.82% | 13.10% | 6.82% |
| 3 | MSFT MSFT | 6.11% | 11.75% | 6.11% |
| 4 | AVGO AVGO | 2.79% | 5.36% | 2.79% |
| 5 | PLTR PLTR | 0.75% | 3.75% | 0.75% |
| 6 | AMD AMD | 0.59% | 2.96% | 0.59% |
| 7 | ORCL ORCL | 0.56% | 2.81% | 0.56% |
| 8 | MU MU | 0.54% | 2.72% | 0.54% |
| 9 | CSCO CSCO | 0.52% | 2.60% | 0.52% |
| 10 | IBM IBM | 0.48% | 2.41% | 0.48% |
Overlap by Sector
Showing top 5 sectors by overlap contribution
Top Holdings Only in SPY
Unique to SPY
| Symbol | Name | Weight |
|---|---|---|
| AMZN | AMZN | 3.81% |
| GOOGL | GOOGL | 3.08% |
| GOOG | GOOG | 2.47% |
| META | META | 2.45% |
| TSLA | TSLA | 2.30% |
Top Holdings Only in XLK
Unique to XLK
| Symbol | Name | Weight |
|---|---|---|
| STX | STX | 0.53% |
| WDC | WDC | 0.52% |
| TER | TER | 0.26% |
| CDW | CDW | 0.15% |
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.