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ANALYTICS
AnalysisScreenerGroups

Selection

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TTOP

Seeded with the selected fund at 100%

Benchmark

Pick one fund or composite — returns and exposures render in excess of it

Peer Universe

Reference set for percentile ranks and factor bars

Digital Assets Funds · 168 total

ANALYTICS
AnalysisScreenerGroups

TTOP

Single-CountryNon-Diversified

21Shares FTSE Crypto 10 Index ETF

Expense Ratio
1.57%
AUM
$1M
Inception
11/14/2025
·

The fund invests at least 80% of net assets in investments that provide exposure to the top ten largest crypto assets globally, ranked by market capitalization. It employs a passive management approach to track the price performance of an index that includes assets like Bitcoin and Ethereum, with weightings based solely on market capitalization. The fund may invest in exchange-traded products, ETFs, and various financial instruments, while also utilizing a wholly-owned subsidiary for additional exposure to these assets.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
TTOP
21Shares FTSE Crypto 10 Index ETF
-15.4%-17.0%48.5%-0.42-42.1%
ⓘ Methodology

ETF performance based on market prices. Drag on chart to select period. Sharpe Ratio uses the one-month T-bill as the risk-free rate. From 11/14/2025 to 10/7/2026.

Trailing Returns

Name
YTD1D5D1M3M6M1Y2Y3Y5YMAX
TTOP
21Shares FTSE Crypto 10 Index ETF
-7.4%-3.0%-1.3%4.3%31.3%19.8%-17.7%
ⓘ Methodology

ETF performance based on market prices. Returns for periods greater than one year are annualized. As of 10/7/2026.

Annual Returns

Name
2025YTD
TTOP
21Shares FTSE Crypto 10 Index ETF
-11.2%*-7.4%
ⓘ Methodology

* partial year — the series ran for only part of it (its first year, or the year it closed); the figure is the return over the part it did run. ETF performance based on market prices. As of 10/7/2026.

Correlation Matrix

Benchmark

Select a second series, or to correlate with the seven research factors.

Factor Regression

Name
Ann. αβ MKTβ SMBβ HMLβ RMWβ CMAβ UMDβ iHMLR²Obs
TTOPDev Ex-US
21Shares FTSE Crypto 10 Index ETF
-32.7%0.59*-0.590.71-0.70-2.99*-0.21-0.640.17198
ⓘ Methodology

ETF performance based on market prices. Dev Ex-US factor set. Daily OLS of excess return (fund − T-bill) on factor spread returns over the selected date range, intersected with each series' history. Bold with * |t| ≥ 1.96, ** |t| ≥ 2.58. Cell shading tracks each loading's t-stat. Betas are returns-based — compare with the holdings-based factor scores below. Factor returns are long-short spread returns (© Ken French, Dartmouth). Fama-French publishes daily factors for developed markets only, so Dev Ex-US is developed markets excluding the US and Global Dev is developed markets including it; emerging markets, a small share of world market capitalization, are not covered by the source data. From 11/14/2025 to 8/31/2026.

SnapshotAs ofvsⓘ

Fund ProfileSingle-CountryNon-Diversified

Family
Registrant
Type
ETF
Asset Class
Peer Asset Class
Digital Assets
Region
Peer Group
Digital Assets - Futures (76 peers)
Expense Ratio
1.57%
AUM
$1M
Inception
11/14/2025
Holdings (Reported)
13
Non-Diversified
Yes
Turnover
11%
Equity
0%
Derivatives
0%
Net Equity Exposure
17%
Strategy Summary

The fund invests at least 80% of net assets in investments that provide exposure to the top ten largest crypto assets globally, ranked by market capitalization. It employs a passive management approach to track the price performance of an index that includes assets like Bitcoin and Ethereum, with weightings based solely on market capitalization. The fund may invest in exchange-traded products, ETFs, and various financial instruments, while also utilizing a wholly-owned subsidiary for additional exposure to these assets.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table. Turnover from the fund's prospectus. Yield as of 10/6/2026, AUM 9/30/2026. Holdings, asset class, style, peer group and exposures as of 6/30/2026. Strategy summary from the fund's prospectus.

Factor DetailsRef: Digital Assets Funds

None of the selected metrics are scored for TTOP — switch the picker to All, or add metrics under Metrics (top right).

ⓘ Methodology

Hover or click for factor definitions. Weighted average of underlying company-level values with weights equal to position size. Solid blue dots mark the fund's position within the clean equity fund universe (5th–95th percentile scale); the shaded band spans the fund's broad class (Digital Assets Funds) 25th–75th percentile, notched at the median. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026. Expense ratio, yield, and turnover as of 10/6/2026. AUM as of 9/30/2026.

Holdings

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13 positions (top 10 shown, create for full holdings) · 83.8% in funds

#NameTickerWeight %Country
1ARK 21Shares Bitcoin ETFARKB
63.25
USA
221Shares Ethereum ETFTETH
11.96
USA
321Shares-
4.60
CHE
4US Bank Mmda - Usbgfs 9-
4.29
USA
521shares XRP ETFTOXR
4.11
USA
621Shares Solana ETFTSOL
2.72
USA
721Shares Hyperliquid ETFTHYP
1.05
USA
821Shares Dogecoin ETFTDOG
0.70
USA
921Shares-
0.35
CHE
1021Shares-
0.34
CHE
ⓘ Methodology

Sector, country and factor detail need a security match; the share of weight that matched is a member figure, so the rows without one appear here with those columns blank. "In funds" adds up the rows tagged Fund — holdings that are themselves funds this app covers, which is what look-through can expand; a held vehicle that files no holdings of its own (a commodity or currency trust, a money-market fund) is not counted and stays a single line. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Digital Assets Funds

Total Holdings13
Effective Holdings2.1
Top 10 Weight93.4%
Max Position63.3%
Top Sector (of Net Assets)94%
Top Country (of Net Assets)88%
ⓘ Methodology

Hover or click for definitions. Solid blue dots mark the fund: percentage rows on a 0–100% scale, holdings counts log-scaled across the clean-universe 5th–95th percentile range. The shaded band spans the fund's broad class (Digital Assets Funds) 25th–75th percentile, notched at the median. Holdings as of 6/30/2026.

Peer Group Rank

See All Peer Groups
Metric
TTOP
21Shares FTSE Crypto 10 Index ETF
Peer Group
76 funds
Peer Asset Class
168 funds
YTD Return
-7.37%-7.26%46-4.79%36
1Y Return
---
3Y Return (Ann.)
---
5Y Return (Ann.)
---
Expense Ratiohigher = cheaper
1.57%0.89%50.69%4
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (80 share classes across 76 funds). One share class shown per fund — the exchange-listed class where the SEC series has one, else its longest-history class; percentile ranks and medians are computed against the same deduped set. Quartile chips fill the layer the fund's rank falls in (top layer = best quartile). Funds without a full return history rank only on the horizons they cover.

Similar Funds

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Nearest funds across the whole universe, by holdings and behavior — the peer taxonomy is ignored, so matches can come from any category.

Top Similarity90
Top Overlap
Top Active Tilt
FundPeer Group
1TKNS
21Shares Active Crypto ETF
Digital Assets - Futures
Digital Assets - Futures
90--
2TXBC
21Shares FTSE Crypto 10 ex-BTC Index ETF
Digital Assets - Futures
Digital Assets - Futures
67--
3ARKF
ARK Blockchain & Fintech Innovation ETF
Digital Assets - Equity
Digital Assets - Equity
8--
4ARKW
ARK Next Generation Internet ETF
US Large Growth
US Large Growth
6--
5DIME
CoinShares Altcoins ETF
Global Equity (Unclassified)
Global Equity (Unclassified)
6--
6LFMAX
LoCorr Macro Strategies Fund
Fixed Income - Core
Fixed Income - Core
5--
7PLFRX
Aristotle Floating Rate Income Fund
Fixed Income - Bank Loans
Fixed Income - Bank Loans
5--
8LEQAX
LoCorr Dynamic Opportunity Fund
Alts - Long/Short Equity
Alts - Long/Short Equity
5--
9LSPAX
LoCorr Spectrum Income Fund
US Mid Value
US Mid Value
5--
10LOTAX
LoCorr Market Trend Fund
Fixed Income - Core
Fixed Income - Core
5--

The method columns are members-only — create a free account to see these figures.

ⓘ Methodology

Rows are the consensus top matches (a fund must place in at least two methods' top 250 to qualify, and matches missing more than one of this fund's own methods are not ranked — a row scored on fewer methods is a noisier estimate, not a better match). Click a method column to see that method's own top matches across the whole universe instead. Gray (N) beside each method's metric is that fund's rank in the whole universe on that method. Similarity is a percentile among match-grade fund pairs, 0–100 — 87 means the pair is closer than 87% of the strongest matches in the universe, averaged across the methods — so it compares across funds: index clones tie at the top with thousands of other clone pairs, so scores top out in the high 80s to 90s, while a one-of-a-kind fund's best match can score in the 30s. Rows are ordered by the Consensus Rank — the geometric mean of those universe ranks, shown in each cell's tooltip — and the score is held down the list to the level of the closest match above it, so equal scores mean equally close and the number reads as a floor. A dash means that method has no figure for the pair at all (one of them lacks the holdings or return history it needs). Hover a column header for each method's definition. The “Top…” strips above compare against every fund's own top match across the whole universe (they deliberately don't follow the Peer Universe selector); Top Similarity is simply the best match's score, with no reference band; the Holdings and Active Tilt strips carry no reference band because computing every fund's best book overlap would require a full holdings scan per fund — the dot stands alone on its natural 0–100% scale. One share class shown per fund, and a fund's own sister share classes are excluded from its Top-match strips. Holdings as of 6/30/2026. Consensus Rank is the geometric mean of the match's universe-wide rank across the methods (#1.0 = top match on every one). Holdings Overlap = common-holdings weight (sum of the minimum weight across shared positions, long only). Active Tilt Overlap = the same statistic on active weights (holdings minus the fund's own default benchmark, floored at 0), which strips the benchmark ballast that dominates raw overlap.