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ANALYTICS
AnalysisScreenerGroups

Selection

Selected (1/4)

DFII

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

DFII

Non-Diversified

FT Vest Bitcoin Strategy & Target Income ETF

Expense Ratio
0.85%
AUM
$21M
Inception
4/4/2025
1Y Return
-32.4%43rd %ilevs 168 asset-class peers
·

The fund invests at least 80% of net assets in options contracts that provide exposure to bitcoin or income-producing investments. It utilizes a range of options, including call and put options referencing Bitcoin Exposure Instruments like Bitcoin ETPs and Bitcoin ETP Indexes, to gain partial participation in bitcoin returns while employing a partial covered call strategy to generate income. The fund does not invest directly in bitcoin and aims to maintain a notional value of sold call options that does not exceed 100% of its investments in options referencing Bitcoin Exposure Instruments.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
DFII
FT Vest Bitcoin Strategy & Target Income ETF
-32.4%-32.4%42.8%-0.85-50.4%
ⓘ 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 10/7/2025 to 10/7/2026.

Trailing Returns

Name
YTD1D5D1M3M6M1Y2Y3Y5YMAX
DFII
FT Vest Bitcoin Strategy & Target Income ETF
-8.5%-2.2%-0.2%4.0%25.3%15.3%-32.4%-2.2%
ⓘ 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
DFII
FT Vest Bitcoin Strategy & Target Income ETF
5.6%*-8.5%
ⓘ 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
DFIIUS
FT Vest Bitcoin Strategy & Target Income ETF
-49.5%1.32**-0.02-0.08-0.81**-0.13-0.61**-0.76**0.34226
ⓘ Methodology

ETF performance based on market prices. 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). From 10/7/2025 to 8/31/2026.

SnapshotAs ofvsⓘ

Fund ProfileNon-Diversified

Fund Documents(opens the fund company’s site in a new tab)
Family
Registrant
Type
ETF
Asset Class
Peer Asset Class
Digital Assets
Region
Prospectus Benchmark
S&P 500 ® Index
Peer Group
Digital Assets - Futures (76 peers)
1Y Peer Percentile
44
Expense Ratio
0.85%
AUM
$21M
Yield
18.03%
Inception
4/4/2025
Holdings (Reported)
8
Non-Diversified
Yes
Turnover
0%
Equity
99%
Derivatives
99%
Net Equity Exposure
0%
Option Notional
-10%
Strategy Summary

The fund invests at least 80% of net assets in options contracts that provide exposure to bitcoin or income-producing investments. It utilizes a range of options, including call and put options referencing Bitcoin Exposure Instruments like Bitcoin ETPs and Bitcoin ETP Indexes, to gain partial participation in bitcoin returns while employing a partial covered call strategy to generate income. The fund does not invest directly in bitcoin and aims to maintain a notional value of sold call options that does not exceed 100% of its investments in options referencing Bitcoin Exposure Instruments.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table. Turnover from the SEC annual report (3/11/2026). 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 DFII — 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.

Country Exposure

Level

Based on holdings that carry a country (51% of total assets).

100.0%
100.0%
ⓘ Methodology

Shares are percentages of the holdings that carry a country, not portfolio weights. Based on N-PORT domicile; ADRs list under their exchange. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

Holdings

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8 positions

#NameTickerWeight %Country
1S&P Dow Jones IndicesXSP
1723.55
USA
2Dreyfus Government Cash Management Funds-
0.86
USA
3iShares Bitcoin Trust ETFIBIT
0.44
USA
4S&P Dow Jones IndicesXSP
0.01
USA
5S&P Dow Jones IndicesXSP
-0.01
USA
6Mini Bitcoin U.S. ETF Index-
-0.09
USA
7iShares Bitcoin Trust ETFIBIT
-47.90
USA
8S&P Dow Jones IndicesXSP
-1579.45
USA
ⓘ 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. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Digital Assets Funds

Total Holdings8
Effective Holdings1
Top 10 Weight1724.9%
Max Position1723.5%
Top Sector (of Net Assets)1725%
Top Country (of Net Assets)100%
ⓘ 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
DFII
FT Vest Bitcoin Strategy & Target Income ETF
Peer Group
76 funds
Peer Asset Class
168 funds
YTD Return
-8.46%-7.26%42-4.79%32
1Y Return
-32.37%-29.74%44-31.57%43
3Y Return (Ann.)
---
5Y Return (Ann.)
---
Expense Ratiohigher = cheaper
0.85%0.89%520.69%30
ⓘ 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 Similarity99
Top Overlap
Top Active Tilt
FundPeer Group
1BFAP
FT Vest Bitcoin Strategy Floor15 ETF - April
Digital Assets - Futures
Digital Assets - Futures
99--
2BFJL
FT Vest Bitcoin Strategy Floor15 ETF - July
Digital Assets - Futures
Digital Assets - Futures
99--
3BFOC
FT Vest Bitcoin Strategy Floor15 ETF - October
Digital Assets - Futures
Digital Assets - Futures
99--
4BFJA
FT Vest Bitcoin Strategy Floor15 ETF - January
Digital Assets - Futures
Digital Assets - Futures
99--

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.