Themes · ranked by the share of the fund held in its ten largest positions

The most concentrated stablecoins ETFs

See 5 funds ranked by the share of the fund held in its ten largest positions. Updated Oct 20, 2026. Two funds on one theme can hold ten names or two hundred. Fund names do not show which.

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The most concentrated stablecoins ETFs
#	Ticker	Fund	Top ten weight ↓	Holdings	Net assets	Total return, 1Y
1	TCAN	21Shares Canton Network ETF	95.2%	2	$9m	too new
2	NODE	VanEck Onchain Economy ETF	56.8%	38	$60m	−27.2%
3	STBQ	Amplify Stablecoin Technology Leaders ET	52.8%	28	$2m	too new
4	TKNQ	Amplify Tokenization Technology Leaders	45.4%	65	$1m	too new
5	LEGR	First Trust Indxx Innovative Transaction	12.6%	103	$128m	+15.4%

As of Oct 20, 2026. Source: ETFIQ.

Method

The 5 of 5 ETFs in the stablecoins and tokenisation theme with a filed book, most concentrated first.

The rest of the method

Across the funds listed here the weight in the ten largest runs from 12.6% to 95.2%. Concentration is not a fault. It shows how much rides on ten holdings. The list sorts one published figure, with no scoring or weighting. Every fund ETFIQ covers in this category is eligible, closed funds included.

How these figures are computed →Standards and sources →

Where to next

Every stablecoins and tokenisation ETF and what it holds→The largest stablecoins and tokenisation ETFs5 →

Where these figures came from

Fund holdings from SEC Form N-PORT and from the issuers own daily files ↗SEC EDGAR, full-text search of fund filings ↗SEC Form N-PORT, what a fund filed it holds ↗Rule 19a-1, what a distribution notice must say ↗

ETFIQ links to the documents behind every figure; a link is not an endorsement. A ranking is not a recommendation or an opinion.

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ETFIQ, The most concentrated stablecoins ETFs, ranked by the share of the fund held in its ten largest positions, data as of Oct 20, 2026. https://etfiq.com/rankings/themes-concentrated-tokenisation

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Free to use with attribution for figures ETFIQ computes; issuer data stays under its owner's terms. The underlying files are at Open data.