SPY vs XLK Overlap Analysis
Comparing SPDR S&P 500 ETF Trust and Technology Select Sector SPDR Fund
Visual Overlap
⚔️Head-to-Head Comparison
Key Factors
▶Additional Metrics (5)
Bottom line: SPY and XLK are very similar. Choose based on your broker's commission structure or personal preference.
Shared Holdings (10 of 10 analyzed)
SPY & XLK Intersection
| Symbol | Name | SPY | XLK | Min |
|---|---|---|---|---|
| AAPL | AAPL | 7.28% | 0.21% | 0.21% |
| MSFT | MSFT | 6.24% | 0.20% | 0.20% |
| NVDA | NVDA | 7.59% | 0.16% | 0.16% |
| AVGO | AVGO | 3.08% | 0.05% | 0.05% |
| CRM | CRM | 0.38% | 0.03% | 0.03% |
| AMD | AMD | 0.60% | 0.03% | 0.03% |
| ORCL | ORCL | 0.57% | 0.03% | 0.03% |
| ADBE | ADBE | 0.23% | 0.03% | 0.03% |
| CSCO | CSCO | 0.52% | 0.02% | 0.02% |
| ACN | ACN | 0.28% | 0.02% | 0.02% |
Min Weight: The minimum weight between the two ETFs for each shared holding. This represents the true overlap contribution.
Data sourced from official fund providers. Showing top holdings for educational analysis.
Top Holdings Only in SPY
Unique to SPY
| Symbol | Name | Weight |
|---|---|---|
| AMZN | AMZN | 3.90% |
| GOOGL | GOOGL | 3.15% |
| GOOG | GOOG | 2.53% |
| META | META | 2.41% |
| TSLA | TSLA | 2.06% |
Price Correlation
How We Calculate Overlap
We use the minimum weight method with normalization to calculate portfolio overlap:
Overlap = Σ 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.
📊 This analysis is based on publicly available holdings data. For the most current and complete holdings information, please visit the official ETF provider websites.