ETF Exposure Map

See which ETFs truly change your exposure.

Switch the axes to map 80 funds by holdings difference, concentration, stock breadth, or high-confidence sector breadth, then compare them against any anchor ETF.

Are these ETFs actually different from SPY?

Every point compares its current equity holdings with SPY. The horizontal axis measures distinctness, while the vertical axis measures effective stock breadth.

80 ETFs shown

Switch dimensions to test a different ETF story. Sector breadth is shown only when at least 95% of the analyzed equity sleeve has a sector classification.

Add up to five funds, or select a point on the map.

ETF holdings distinctness and effective stock breadth An interactive scatter plot comparing supported ETFs with the selected anchor fund.

Attach the downloaded 1200 × 630 PNG so your X post shows this exact map.

Browse the plotted data
ETF Role Distinct from SPY Effective holdings
Value 100.0% 272
International 100.0% 206
International 100.0% 36.8
International 100.0% 279
International 100.0% 36.5
Mid and small cap 100.0% 413
Mid and small cap 100.0% 840
International 100.0% 261
Mid and small cap 100.0% 294
International 100.0% 322
International 100.0% 232
International 100.0% 145
International 100.0% 39.0
International 100.0% 275
Dividend and income 100.0% 226
Mid and small cap 99.9% 294
Sector and thematic 99.8% 24.3
Sector and thematic 98.1% 21.5
Sector and thematic 98.1% 101
Sector and thematic 98.1% 18.5
Sector and thematic 98.1% 19.2
Sector and thematic 98.0% 19.6
Value 97.8% 443
Sector and thematic 97.6% 5.4
Mid and small cap 96.9% 694
Sector and thematic 96.6% 11.0
Sector and thematic 96.4% 24.4
Sector and thematic 95.4% 20.0
Dividend and income 93.9% 79.5
Dividend and income 92.3% 85.4
Dividend and income 91.9% 32.0
Sector and thematic 91.5% 39.6
Sector and thematic 90.8% 10.0
Sector and thematic 90.4% 17.4
Dividend and income 90.3% 27.7
Sector and thematic 90.3% 14.1
Dividend and income 90.0% 68.5
Sector and thematic 89.6% 42.3
Sector and thematic 87.6% 21.2
Dividend and income 85.6% 93.4
Sector and thematic 84.1% 20.3
Mid and small cap 83.7% 218
Sector and thematic 83.0% 17.9
Sector and thematic 82.8% 13.9
Sector and thematic 71.9% 34.8
Core market 71.1% 20.5
Dividend and income 67.2% 79.1
Dividend and income 66.1% 71.0
Growth 65.2% 25.1
Sector and thematic 63.1% 16.9
Sector and thematic 63.0% 14.4
Sector and thematic 63.0% 15.0
Dividend and income 61.0% 59.2
Dividend and income 58.4% 79.7
Value 57.6% 113
Core market 55.4% 492
Growth 50.0% 16.7
Dividend and income 48.3% 28.4
Growth 47.1% 32.1
Dividend and income 47.0% 32.2
Growth 46.9% 31.9
Growth 46.5% 32.9
Growth 45.6% 23.3
Core market 45.4% 147
Growth 45.1% 23.6
Growth 43.4% 17.9
Value 43.0% 90.0
Value 42.5% 79.0
International 39.7% 118
Growth 35.2% 19.8
Growth 35.2% 19.7
International 31.0% 94.1
Core market 15.3% 66.0
Core market 14.6% 65.8
Core market 13.3% 57.6
Core market 8.2% 51.1
Core market 6.7% 51.4
Core market 2.8% 47.5
Core market 2.1% 47.7
Core market 0.0% 47.7

What the map measures

Holdings distinctness

Each fund's positive-weight stock sleeve is normalized to 100%. Shared weight is the sum of the smaller normalized position in every common stock; distinctness is 100 minus that value. A fund farther right owns a more different equity sleeve.

Effective stock breadth

The inverse sum of squared normalized stock weights. It discounts tiny positions and reveals when a long holdings list is still driven by a small group of companies.

Effective sector breadth

The same concentration logic applied to classified sectors. Unclassified exposure is excluded, and a fund appears on this axis only when at least 95% of its analyzed equity sleeve has a sector classification.

The chart analyzes positive-weight equity positions only. Cash, derivatives, and other non-equity assets are excluded. Quadrants describe this filtered peer set, not investment quality. Holdings can carry different as-of dates. Read the complete methodology and limitations before using the map in a decision.