QQQ vs XLK Overlap

Comparing Invesco QQQ Trust and Technology Select Sector SPDR Fund

Holdings Overlap
50.42%
Moderate Overlap
Shared Holdings
33 of 70
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

QQQ
XLK
50.4%
QQQ Only
Overlap
XLK Only

Price Performance

Historical price comparison over 3M

QQQ Return
+9.87%
XLK Return
+12.16%
Winner
XLK
+2.29%
Max Drawdown
QQQ: -7.9%
XLK: -10.5%
QQQ Volatility (annualized)15.94%
XLK Volatility (annualized)19.66%

๐Ÿ“ˆ Comparison

Metric
QQQ
XLK
1 Year Return
+28.2%
+35.2%โœ“
3 Year Return
+12.5%
+15.8%โœ“
5 Year Return
+20.1%
+25.5%โœ“
Volatility
22.50%โœ“
24.20%
Expense Ratio
0.20%
0.10%โœ“
โš ๏ธ Past performance does not guarantee future results. Data may be delayed.

โš ๏ธRisk Metrics

Metric
QQQ
XLK
Volatility
22.50%โœ“
24.20%
Sharpe Ratio
0.88
1.05โœ“
Sortino Ratio
1.22
1.42โœ“
Max Drawdown
-35.20%โœ“
-38.50%
Beta
1.18
1.22

Interpretation:

  • ๐Ÿ“Š Lower volatility = smoother ride
  • โšก Higher Sharpe/Sortino = better risk-adjusted returns
  • โš ๏ธ Smaller max drawdown = less worst-case pain
  • ๐Ÿ“ˆ Beta > 1 = more volatile than S&P 500

โš”๏ธ Comparison

6 - 10

๐Ÿ† XLK wins this comparison

Key Factors

๐Ÿ’ฐ Expense Ratio
QQQ:0.20%โœ“
vs
XLK:0.10%โœ“
๐ŸŽฏ Number of Holdings
QQQ:101 holdingsโœ“
vs
XLK:65 holdingsโœ“
๐Ÿ“ˆ 5-Year Return
QQQ:+20.1%โœ“
vs
XLK:+25.5%โœ“
โ–ถAdditional Metrics (5)
โš–๏ธ Concentration Risk
QQQ: 49.6% in top 10โœ“
XLK: 62.3% in top 10
๐Ÿ“Š Assets Under Management
QQQ: $220B โœ“
XLK: $55B โœ“
โšก Sharpe Ratio
QQQ: 0.88
XLK: 1.05โœ“
๐Ÿ“‰ Volatility
QQQ: 22.5%
XLK: 24.2%
๐Ÿ” Uniqueness vs SPY
QQQ: 48.3% unique
XLK: 65.5% uniqueโœ“

Bottom line: XLK wins with better expense ratio and 5-year return. Consider XLK for your portfolio, but QQQ is still a solid choice if you prefer its specific advantages.

Detailed Overlap Analysis

33 shared holdings representing 50.4% portfolio overlap

Top Shared Holdings

#StockQQQ WeightXLK WeightOverlap
1
NVDA
NVDA
8.99%14.84%8.99%
2
AAPL
AAPL
7.94%13.10%7.94%
3
MSFT
MSFT
7.12%11.75%7.12%
4
AVGO
AVGO
3.24%5.36%3.24%
5
PLTR
PLTR
2.40%3.75%2.40%
6
AMD
AMD
1.90%2.96%1.90%
7
MU
MU
1.75%2.72%1.75%
8
CSCO
CSCO
1.67%2.60%1.67%
9
LRCX
LRCX
1.21%1.88%1.21%
10
APP
APP
1.21%1.66%1.21%

Overlap by Sector

Technology
19 stocks ยท 41.63% overlap
Other
14 stocks ยท 8.57% overlap

Showing top 5 sectors by overlap contribution

33
Shared Stocks
50.4%
Total Overlap
2
Sectors Represented

Top Holdings Only in QQQ

Unique to QQQ

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
AMZNAMZN4.87%
TSLATSLA4.21%
METAMETA3.85%
GOOGLGOOGL3.58%
GOOGGOOG3.35%

Top Holdings Only in XLK

Unique to XLK

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
ORCLORCL2.81%
IBMIBM2.41%
CRMCRM2.13%
APHAPH1.43%
ACNACN1.42%

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 holding

Normalization: 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.

๐Ÿ“Š 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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