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ANALYTICS
AnalysisScreenerGroups

Selection

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XBTY

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

XBTY

Non-Diversified

GraniteShares YieldBOOST Bitcoin ETF

Expense Ratio
1.15%
AUM
$10M
Inception
5/14/2025
1Y Return
-37.8%27th %ilevs 168 asset-class peers
·

The fund invests at least 80% of net assets in derivatives contracts referencing an Underlying Leveraged ETF that seeks to provide 2 times the daily performance of bitcoin. It employs a put write strategy, selling put options on the Underlying Leveraged ETF, with potential downside protection through a put spread strategy, while also utilizing swap agreements for operational efficiency. The fund's cash balance may be invested in U.S. Government securities, money market funds, and other short-term investment-grade securities.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
XBTY
GraniteShares YieldBOOST Bitcoin ETF
-37.8%-37.8%23.6%-1.76-45.0%
ⓘ 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
XBTY
GraniteShares YieldBOOST Bitcoin ETF
-16.4%-0.4%0.6%2.5%8.5%1.4%-37.8%-25.8%
ⓘ 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
XBTY
GraniteShares YieldBOOST Bitcoin ETF
-21.1%*-16.4%
ⓘ 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
XBTYUS
GraniteShares YieldBOOST Bitcoin ETF
-66.1%**0.82**-0.080.12-0.31*-0.11-0.26**-0.25*0.26226
ⓘ 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
Peer Group
Digital Assets - Futures (76 peers)
1Y Peer Percentile
29
Expense Ratio
1.15%
AUM
$10M
Yield
71.24%
Inception
5/14/2025
Holdings (Reported)
8
Non-Diversified
Yes
Turnover
0%
Equity
-2%
Derivatives
-2%
Net Equity Exposure
0%
Option Notional
5%
Strategy Summary

The fund invests at least 80% of net assets in derivatives contracts referencing an Underlying Leveraged ETF that seeks to provide 2 times the daily performance of bitcoin. It employs a put write strategy, selling put options on the Underlying Leveraged ETF, with potential downside protection through a put spread strategy, while also utilizing swap agreements for operational efficiency. The fund's cash balance may be invested in U.S. Government securities, money market funds, and other short-term investment-grade securities.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table. Turnover from the SEC annual report (9/4/2026). 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 XBTY — 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
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
1Treasury Bill-
50.37
USA
2Treasury Bill-
30.17
USA
32x Bitcoin Strategy ETFBITX
0.57
USA
42x Bitcoin Strategy ETFBITX
0.22
USA
52x Bitcoin Strategy ETFBITX
0.13
USA
62x Bitcoin Strategy ETFBITX
-0.33
USA
72x Bitcoin Strategy ETFBITX
-0.96
USA
82x Bitcoin Strategy ETFBITX
-1.01
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 Holdings1.9
Top 10 Weight81.5%
Max Position50.4%
Top Sector (of Net Assets)81%
Top Country (of Net Assets)81%
ⓘ 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
XBTY
GraniteShares YieldBOOST Bitcoin ETF
Peer Group
76 funds
Peer Asset Class
168 funds
YTD Return
-16.44%-7.26%17-4.79%13
1Y Return
-37.76%-29.74%29-31.57%27
3Y Return (Ann.)
---
5Y Return (Ann.)
---
Expense Ratiohigher = cheaper
1.15%0.89%150.69%8
ⓘ 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 Similarity96
Top Overlap
Top Active Tilt
FundPeer Group
1MTYY
GraniteShares YieldBOOST MSTR ETF
Options - Income
Options - Income
96--
2YBTY
GraniteShares YieldBOOST TopYielders ETF
Options - Income
Options - Income
92--
3COYY
GraniteShares YieldBOOST COIN ETF
Options - Income
Options - Income
92--
4PLYY
GraniteShares YieldBOOST PLTR ETF
Options - Income
Options - Income
92--
5YBST
GraniteShares YieldBOOST Single Stock Universe ETF
Options - Income
Options - Income
91--
6BBYY
GraniteShares YieldBOOST BABA ETF
Options - Income
Options - Income
90--
7SMYY
GraniteShares YieldBOOST SMCI ETF
Options - Income
Options - Income
89--
8TSYY
GraniteShares YieldBOOST TSLA ETF
Options - Income
Options - Income
88--
9FBYY
GraniteShares YieldBOOST META ETF
Options - Income
Options - Income
88--
10HMYY
GraniteShares YieldBOOST HIMS ETF
Options - Income
Options - Income
88--

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.