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ANALYTICS
AnalysisScreenerGroups

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HFEQ

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Benchmark

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Peer Universe

Reference set for percentile ranks and factor bars

Alternatives Funds · 251 total

ANALYTICS
AnalysisScreenerGroups

HFEQ

Non-DiversifiedMaterial Change

Unlimited HFEQ Equity Long/Short ETF

Expense Ratio
0.96%
AUM
$12M
Inception
7/16/2025
1Y Return
+12.2%57th %ilevs 251 asset-class peers
·

The fund invests at least 80% of net assets in equity securities, including Underlying ETFs and futures contracts based on equity indices. It employs an actively-managed strategy that targets a volatility level approximately twice that of the hedge fund industry's Equity Long/Short sector, utilizing long and short positions in 10-30 Underlying ETFs and futures contracts. The portfolio construction process focuses on achieving similar return characteristics to the sector's gross of fees returns while maintaining higher volatility through a proprietary algorithm and frequent trading.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
HFEQ
Unlimited HFEQ Equity Long/Short ETF
12.2%12.2%22.3%0.38-12.5%
ⓘ 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
HFEQ
Unlimited HFEQ Equity Long/Short ETF
11.6%-1.2%1.0%-4.1%-4.3%9.0%12.2%22.4%
ⓘ 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
HFEQ
Unlimited HFEQ Equity Long/Short ETF
14.9%*11.6%
ⓘ 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
HFEQUS
Unlimited HFEQ Equity Long/Short ETF
-10.7%1.48**0.18*0.24**-0.15*0.29**0.11*-0.100.87226
ⓘ 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-DiversifiedMaterial Change

Fund Documents(opens the fund company’s site in a new tab)
Family
Registrant
Type
ETF
Asset Class
Peer Asset Class
Alternatives
Region
Equity Size & Style
Peer Group Benchmark
Prospectus Benchmark
S And P500 Total Return Index
Peer Group
Alts - Long/Short Equity (37 peers)
1Y Peer Percentile
58
Expense Ratio
0.96%
AUM
$12M
Yield
4.40%
Inception
7/16/2025
Holdings (Reported)
1,806
Non-Diversified
Yes
Turnover
125%
Equity
88%
Derivatives
6%
Strategy Summary

The fund invests at least 80% of net assets in equity securities, including Underlying ETFs and futures contracts based on equity indices. It employs an actively-managed strategy that targets a volatility level approximately twice that of the hedge fund industry's Equity Long/Short sector, utilizing long and short positions in 10-30 Underlying ETFs and futures contracts. The portfolio construction process focuses on achieving similar return characteristics to the sector's gross of fees returns while maintaining higher volatility through a proprietary algorithm and frequent trading.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table. Turnover from the SEC annual report (11/10/2025). Yield as of 10/6/2026, AUM 9/30/2026. Holdings, asset class, style, peer group and exposures as of 5/31/2026. Strategy summary from the fund's prospectus.

Equity Size & Style Map

Based on equity exposure only (78% of total assets).

LargeMidSmall
18%
19%
14%
13%
12%
9%
4%
3%
9%
Large
ValueCoreGrowth
Size
Large
51%
Mid
33%
Small
16%
Style
Value
35%
Core
34%
Growth
32%
ⓘ Methodology

Equity size and style definitions. Size: each holding is scored against its own market's size curve — Large above $61.7B in the US and $21.4B elsewhere, Small below $10.8B worldwide — and a fund sits at the weighted average of its holdings. Style: each holding's Traditional Value score is ranked against stocks of the same region and size, and a fund sits at the weighted average of those ranks. Both are relative measures — where a holding stands among comparable stocks, not an absolute threshold. The dollar lines are recomputed from total market capitalisation each time the data is refreshed; the shares of the market they mark are what stay fixed. Cell shading and percentages: share of classified holdings weight per box. The grid and the dot are built from one set of per-holding scores — the dot is their weighted average — so they describe the same book at two levels of detail. The Size and Style bars are the grid's row and column totals. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Alternatives Funds

Based on equity exposure only (78% of total assets).

Intangible Value55.6
Traditional Value48.2
Small-Cap58.3
Quality32.9
Momentum45.7
ⓘ Methodology

Hover or click for factor definitions. Weighted average of underlying company-level values with weights equal to position size. Ranked within the clean equity fund universe, one entry per fund series (lowest: 0, highest: 100; the middle of the range is denser than the ends). Blue dots mark the fund; the shaded band spans the Alternatives Funds class 25th–75th percentile of scores, notched at the median. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Factor DetailsRef: Alternatives Funds

Based on equity exposure only (78% of total assets).

Valuation
Book-to-Price (NTM)29.6
Sales-to-Price (NTM)54.7
Earnings-to-Price (NTM)4.4
Innovation/IP
R&D / Mkt Cap1.9
Patents / Mkt Cap0.81
Brand
Sales & Marketing / Mkt Cap3.0
Trademarks / Mkt Cap0.13
Human Capital
PhD Employees / Mkt Cap6.5
Top University Alumni / Mkt Cap14.2
Politics
Lobbying Spend / Mkt Cap32.8
AI
AI Employees / Mkt Cap1.1
ⓘ 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 (Alternatives Funds) 25th–75th percentile, notched at the median. Holdings as of 5/31/2026. 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
95.2%
94.9%
Other0.3%
4.8%
2.6%
Other2.1%
Other (1 region)0.1%
ⓘ Methodology

Shares are percentages of the holdings that carry a country, not portfolio weights. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Sector Exposure

Level

Based on equity exposure only (78% of total assets).

Materials19.2%
Industrials16.8%
Healthcare15.0%
Consumer Discretionary11.8%
Energy8.5%
Technology8.0%
Financials7.9%
Utilities6.7%
Consumer Staples3.4%
Communication1.3%
Real Estate1.2%
ⓘ Methodology

Shares are percentages of the fund's classified holdings — every position we can identify, with cash and unidentified positions excluded — not portfolio weights. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Thematic Exposure

Based on equity exposure only (78% of total assets).

AI Composition

Infrastructure18.9%
Early Adopter25.0%
Laggard56.1%

Magnificent 7

Magnificent 71.9%
Non-Magnificent 798.1%

Old vs New Economy

Old Economy74.1%
New Economy25.9%

Globalization

Multinational42.5%
Exporter5.3%
Importer14.4%
Domestic37.8%

China Exposure

China/HK Domiciled0.0%
Revenue & Operations6.1%
Operations Only12.6%
Revenue Only0.9%
No Material Exposure80.4%

Company Size

Mega (>$500B)7.6%
Large ($70–500B)38.0%
Mid ($10–70B)39.4%
Small ($1–10B)13.3%
Micro (<$1B)1.7%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 88% of net assets) — they are not portfolio weights. China exposure: domiciled = incorporated in China or Hong Kong, falling back to the filing's country for holdings outside the stock model. Among the rest, revenue = ≥15% of revenue derived from China; operations = ≥3% of LinkedIn-tracked workforce in China, or ≥2 identified Chinese suppliers making up ≥12% of those identified. China revenue is estimated where segment reporting is absent. Company size bands by holding market cap: Mega >$500B, Large $70–500B, Mid $10–70B, Small $1–10B, Micro <$1B. Old vs New Economy partitions Sparkline's 48 industries: New = technology, internet platforms and entertainment, e-commerce, payments, pharma/biotech/medtech, and renewable energy; Old = everything else. Shares are of classified holdings and sum to 100%. China shares are of total equity weight. Size shares are of scored holdings weight. Holdings as of 5/31/2026. Stock-level data as of 8/31/2026.

Holdings

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21 positions (top 10 shown, create for full holdings) · 79.5% in funds

#NameTickerWeight %Country
1Vanguard Value ETFVIVAX
17.77
USA
2State Street Materials SelectXLB
13.55
USA
3First American Government Obli-
10.64
USA
4Vanguard Mid-Cap ETFVIMSX
9.34
USA
5Vanguard US Momentum Factor ETFVFMO
8.59
USA
6State Street Industrial SelectXLI
7.39
USA
7State Street SPDR S&P BiotechXBI
7.16
USA
8State Street SPDR S&P Retail EXRT
5.30
USA
9State Street Energy Select SecXLE
3.66
USA
10State Street Utilities SelectXLU
3.60
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. "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 5/31/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Alternatives Funds

Total Holdings1,806
Effective Holdings10
Top 10 Weight87.0%
Max Position17.8%
Top Sector (of Net Assets)97%
Top Country (of Net Assets)97%
ⓘ 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 (Alternatives Funds) 25th–75th percentile, notched at the median. Holdings as of 5/31/2026.

Benchmark DifferentiationRef: Alternatives Funds

vs SPYBroad Benchmark
Active Share100.0%
Benchmark Correlation0.88
vs IWDStyle Benchmark
Active Share100.0%
Benchmark Correlation0.83
ⓘ Methodology

One sub-card per benchmark: the market primary, then the style secondary — the gap between them is the style sleeve itself. Both anchors are Sparkline-inferred (market from asset class and region, style from the holdings size-and-style map), not the fund's official prospectus benchmark. Solid blue dot marks the fund; the shaded band spans the reference set's 25th–75th percentile, notched at the median (band follows the Peer Universe selector). Active Share compares the fund's book with the benchmark's, share for share; Tracking Error is the annualized daily deviation over the trailing two years (ruler runs to just past the universe's 95th percentile, or past the fund's own figure where that is larger); Benchmark Correlation is the plain daily correlation over the trailing year. Hover the labels for full definitions.

Peer Group Rank

See All Peer Groups
Metric
HFEQ
Unlimited HFEQ Equity Long/Short ETF
Peer Group
37 funds
Peer Asset Class
251 funds
YTD Return
11.60%8.44%687.46%68
1Y Return
12.18%8.47%589.54%57
3Y Return (Ann.)
---
5Y Return (Ann.)
---
Expense Ratiohigher = cheaper
0.96%2.01%971.42%70
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (73 share classes across 37 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 Similarity47
Top Overlap
Top Active Tilt
Top Factor Match
FundPeer Group
1BTR
Beacon Tactical Risk ETF
Allocation - Tactical/Dynamic
Allocation - Tactical/Dynamic
47---
2TACK
FAIRLEAD TACTICAL SECTOR ETF
Allocation - Tactical/Dynamic
Allocation - Tactical/Dynamic
47---
3EQL
ALPS Equal Sector Weight ETF
US Large Core
US Large Core
44---
4FDAT
Tactical Advantage ETF
Allocation - Tactical/Dynamic
Allocation - Tactical/Dynamic
43---
5THLV
THOR Low Volatility ETF
US Large Core
US Large Core
43---
6ACMAX
Absolute Capital Defender Fund
Allocation - Aggressive
Allocation - Aggressive
43---
7SNAV
Mohr Sector Nav ETF
US Large Core
US Large Core
40---
8BSR
Beacon Selective Risk ETF
Allocation - Aggressive
Allocation - Aggressive
40---
9GSEW
Goldman Sachs Equal Weight U.S. Large Cap Equity ETF
US Large Core
US Large Core
38---
10EUSA
iShares MSCI USA Equal Weighted ETF
US Mid Core
US Mid Core
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 5/31/2026. 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. Factor Similarity = 100 − a signature-weighted RMS gap across the composite factor scores (0–100 ranks within the clean equity fund universe), each axis weighted by how far this fund sits from the universe median of 50.