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ANALYTICS
AnalysisScreenerGroups

Selection

Selected (1/4)

BMAX

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

BMAX

REX Bitcoin Corporate Treasury Convertible Bond ETF

AUM
$6M
Inception
3/17/2025
Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
BMAX
REX Bitcoin Corporate Treasury Convertible Bond ETF
-6.0%-6.0%26.1%-0.41-31.3%
ⓘ 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 4/11/2025 to 4/13/2026.

Trailing Returns

Name
YTD1D5D1M3M6M1Y2Y3Y5YMAX
BMAX
REX Bitcoin Corporate Treasury Convertible Bond ETF
4.0%2.2%4.7%2.4%-16.1%-8.9%
ⓘ Methodology

ETF performance based on market prices. Returns for periods greater than one year are annualized. As of 4/13/2026.

Annual Returns

Name
2025YTD
BMAX
REX Bitcoin Corporate Treasury Convertible Bond ETF
-13.1%*4.0%
ⓘ 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 4/13/2026.

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
BMAXUS
REX Bitcoin Corporate Treasury Convertible Bond ETF
-27.1%0.64**0.130.28-0.55**-0.64**-0.32*-0.210.24250
ⓘ 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 4/14/2025 to 4/13/2026.

SnapshotAs ofvsⓘ

Fund Profile

Registrant
Type
ETF
Asset Class
Peer Asset Class
Digital Assets
Region
Peer Group
Digital Assets - Futures (76 peers)
AUM
$6M
Inception
3/17/2025
Holdings (Reported)
14
Equity
0%
Derivatives
0%
Net Equity Exposure
0%
ⓘ Methodology

Expense ratio and its components from the prospectus fee table, else the SEC annual shareholder report, else market data. AUM as of 3/31/2026. Holdings, asset class, style, peer group and exposures as of 3/31/2026.

Factor DetailsRef: Digital Assets Funds

None of the selected metrics are scored for BMAX — 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 3/31/2026. Stock-level data as of 8/31/2026. AUM as of 3/31/2026.

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 3/31/2026. Stock-level data as of 8/31/2026.

Holdings

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14 positions (top 10 shown, create for full holdings)

#NameTickerWeight %SectorIndustryCountry
1StrategyMSTR
22.91
TechnologySoftwareUSA
2StrategyMSTR
13.48
TechnologySoftwareUSA
3GamestopGME
12.77
Consumer DiscTraditional RetailUSA
4StrategyMSTR
8.70
TechnologySoftwareUSA
5Trump Media & TechnologyDJT
7.63
CommunicationInternet PlatformsUSA
6StrategyMSTR
7.10
TechnologySoftwareUSA
7Mara HoldingsMARA
6.79
FinancialsInvest BankingUSA
8Mara HoldingsMARA
6.58
FinancialsInvest BankingUSA
9StrategyMSTR
6.33
TechnologySoftwareUSA
10Riot PlatformsRIOT
5.39
HealthcareBiotech & Life SciUSA
ⓘ Methodology

Holdings as of 3/31/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Digital Assets Funds

Total Holdings14
Effective Holdings9
Top 10 Weight97.7%
Max Position22.9%
Top Sector (of Net Assets)63%
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 3/31/2026.

Peer Group Rank

See All Peer Groups
ⓘ 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 Similarity68
Top Overlap
Top Active Tilt
FundPeer Group
1OWNB
Bitwise Bitcoin Standard Corporations ETF
Digital Assets - Equity
Digital Assets - Equity
68--
2BCOR
Grayscale Bitcoin Adopters ETF
Digital Assets - Equity
Digital Assets - Equity
68--
3MSTW
Roundhill MSTR WeeklyPay ETF
Options - Income
Options - Income
58--
4SMST
Defiance Daily Target 2x Short MSTR ETF
Inverse - Equity
Inverse - Equity
58--
5MSTP
GraniteShares 2x Long MSTR Daily ETF
Leveraged - Equity
Leveraged - Equity
57--
6MSOO
Leverage Shares 2x Capped Accelerated MSTR Monthly ETF
Leveraged - Equity
Leveraged - Equity
57--
7MSR
GraniteShares Autocallable MSTR ETF
Options - Income
Options - Income
57--
8MSTX
Defiance Daily Target 2x Long MSTR ETF
Leveraged - Equity
Leveraged - Equity
45--
9BITQ
Bitwise Crypto Industry Innovators ETF
Digital Assets - Equity
Digital Assets - Equity
44--
10STCE
Schwab Crypto Thematic ETF
Digital Assets - Equity
Digital Assets - Equity
37--

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 3/31/2026. 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.