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ANALYTICS
AnalysisScreenerGroups

Selection

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ASGM

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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

ASGM

Virtus AlphaSimplex Global Macro ETF

Expense Ratio
0.86%
AUM
$10M
Inception
8/6/2025
1Y Return
+27.6%91st %ilevs 251 asset-class peers
·

The fund invests in a combination of a Futures Sleeve and an Equity Sleeve, with 30% to 70% of total assets in the Equity Sleeve, which primarily consists of exchange-traded funds capturing global equity market returns. The Futures Sleeve employs a systematic, quantitative approach using derivatives to gain long and short exposures to global developed and emerging market equities, fixed-income securities, currencies, and commodities, while up to 25% of total assets may be allocated to a subsidiary for commodity-related investments. The fund is actively managed and non-diversified, allowing for significant concentration in individual issuers.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
ASGM
Virtus AlphaSimplex Global Macro ETF
27.6%27.6%17.0%1.40-7.4%
ⓘ 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
ASGM
Virtus AlphaSimplex Global Macro ETF
25.3%-0.4%2.1%0.7%7.2%16.4%27.6%33.2%
ⓘ 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
ASGM
Virtus AlphaSimplex Global Macro ETF
11.6%*25.3%
ⓘ 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
ASGMGlobal Dev
Virtus AlphaSimplex Global Macro ETF
6.6%1.13**-0.30*0.27-0.11-0.090.10-0.120.74226
ⓘ Methodology

ETF performance based on market prices. Global Dev 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 10/7/2025 to 8/31/2026.

SnapshotAs ofvsⓘ

Fund Profile

Family
Registrant
Type
ETF
Asset Class
Peer Asset Class
Alternatives
Region
Equity Sleeve Style
Large Growth
Peer Group Benchmark
Peer Group
Alts - Global Macro (22 peers)
1Y Peer Percentile
90
Expense Ratio
0.86%
AUM
$10M
Yield
1.60%
Inception
8/6/2025
Holdings (Reported)
4,542
Turnover
0%
Equity
58%
Derivatives
2%
Strategy Summary

The fund invests in a combination of a Futures Sleeve and an Equity Sleeve, with 30% to 70% of total assets in the Equity Sleeve, which primarily consists of exchange-traded funds capturing global equity market returns. The Futures Sleeve employs a systematic, quantitative approach using derivatives to gain long and short exposures to global developed and emerging market equities, fixed-income securities, currencies, and commodities, while up to 25% of total assets may be allocated to a subsidiary for commodity-related investments. The fund is actively managed and non-diversified, allowing for significant concentration in individual issuers.

ⓘ Methodology

Expense ratio and its components from market data (10/6/2026). Turnover from market data (10/6/2026). Yield as of 10/6/2026, AUM 9/30/2026. Holdings, asset class, style, peer group and exposures as of 7/31/2026.

Equity Size & Style Map

LargeMidSmall
7%
12%
18%
2%
2%
28%
1%
1%
30%
Large
ValueCoreGrowth
Size
Large
36%
Mid
31%
Small
32%
Style
Value
10%
Core
15%
Growth
75%
ⓘ Methodology

Equity size and style definitions: Large vs. Small based on market cap, where Large > $70B, Mid $10-70B, and Small < $10B. Value vs. Growth based on percentile ranking on Traditional Value score within the fund's region and size cohort (equal thirds among its true equity-fund peers). This fund is not an equity fund, so the box describes its equity sleeve only (58% of assets): the sleeve's holdings are scored and ranked against equity funds of the same region and size cohort. The rest of the portfolio (bonds, cash, other assets) is not represented here. Cell shading and percentages: share of classified holdings weight per box, from stock-level classification (size on the same $70B/$10B lines; value by Traditional Value terciles across scored stocks). The dot is the average holding ranked against other funds, so dot and weights can differ at the margin. The Size and Style bars are the grid's row and column totals. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Alternatives Funds

Intangible Value46.5
Traditional Value35.9
Small-Cap62.4
Quality16.4
Momentum17.7
ⓘ 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 7/31/2026. Stock-level data as of 8/31/2026.

Factor DetailsRef: Alternatives Funds

Valuation
Book-to-Price (NTM)16.1
Sales-to-Price (NTM)29.8
Earnings-to-Price (NTM)4.7
Innovation/IP
R&D / Mkt Cap1.1
Patents / Mkt Cap0.50
Brand
Sales & Marketing / Mkt Cap1.4
Trademarks / Mkt Cap0.07
Human Capital
PhD Employees / Mkt Cap3.2
Top University Alumni / Mkt Cap5.3
Politics
Lobbying Spend / Mkt Cap5.5
AI
AI Employees / Mkt Cap0.68
ⓘ 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 7/31/2026. Stock-level data as of 8/31/2026. Expense ratio, yield, and turnover as of 10/6/2026. AUM as of 9/30/2026.

Asset Class Exposure

Alternatives100.0%
ⓘ Methodology

Taken from what this fund IS rather than from what it files. Its exposure is carried in swaps or futures that mark at close to nothing, so the book it reports is the collateral behind them and a pie of that book would describe a margin account. Gearing is not expressed here - a 3x fund reads 100% of its asset class, not 300%. An alternative strategy is counted by what the fund is, not by what it holds: a long/short or managed futures book is ordinary stocks and Treasury collateral, and neither describes the exposure the fund gives. A fund that is short is counted here too, rather than in the asset class it is short of.

Country Exposure

Level
62.8%
62.7%
32.7%
23.8%
2.5%
1.0%
Other5.4%
4.5%
1.2%
1.0%
Other2.3%
ⓘ Methodology

Shares are percentages of the holdings that carry a country, not portfolio weights. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

Sector Exposure

Level
Industrials34.6%
Financials33.5%
Technology13.7%
Consumer Discretionary3.9%
Healthcare3.7%
Communication3.4%
Consumer Staples2.1%
Materials1.6%
Energy1.4%
Utilities1.1%
Real Estate0.8%
ⓘ 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 7/31/2026. Stock-level data as of 8/31/2026.

Thematic Exposure

AI Composition

Infrastructure17.8%
Early Adopter37.2%
Laggard45.1%

Magnificent 7

Magnificent 78.1%
Non-Magnificent 791.9%

Old vs New Economy

Old Economy78.2%
New Economy21.8%

Globalization

Multinational82.0%
Exporter3.6%
Importer5.5%
Domestic9.0%

China Exposure

China/HK Domiciled3.0%
Revenue & Operations12.5%
Operations Only15.4%
Revenue Only6.4%
No Material Exposure62.6%

Company Size

Mega (>$500B)14.0%
Large ($70–500B)17.2%
Mid ($10–70B)36.7%
Small ($1–10B)32.1%
Micro (<$1B)0.0%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 58% 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 7/31/2026. Stock-level data as of 8/31/2026.

Holdings

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37 positions (top 10 shown, create for full holdings) · 48.3% in funds

#NameTickerWeight %Country
1iShares TrustIVV
26.88
USA
2iShares TrustIEFA
14.55
USA
3iSharesIEMG
6.90
USA
4United States OF America - Bureau OF The Public Debt-
4.07
USA
5United States OF America - Bureau OF The Public Debt-
3.50
USA
6United States OF America - Bureau OF The Public Debt-
2.92
USA
7United States OF America - Bureau OF The Public Debt-
2.92
USA
8United States OF America - Bureau OF The Public Debt-
2.91
USA
9United States OF America - Bureau OF The Public Debt-
2.91
USA
10United States OF America - Bureau OF The Public Debt-
2.34
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 7/31/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Alternatives Funds

Total Holdings4,542
Effective Holdings6.5
Top 10 Weight69.9%
Max Position26.9%
Top Sector (of Net Assets)83%
Top Country (of Net Assets)83%
ⓘ 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 7/31/2026.

Peer Group Rank

See All Peer Groups
Metric
ASGM
Virtus AlphaSimplex Global Macro ETF
Peer Group
22 funds
Peer Asset Class
251 funds
YTD Return
25.27%7.04%917.46%94
1Y Return
27.60%8.61%909.54%91
3Y Return (Ann.)
---
5Y Return (Ann.)
---
Expense Ratiohigher = cheaper
0.86%1.13%821.42%80
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (57 share classes across 22 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 Similarity58
Top Overlap
Top Active Tilt
Top Factor Match
FundPeer Group
1NDAA
Ned Davis Research 360 Dynamic Allocation ETF
Allocation - Tactical/Dynamic
Allocation - Tactical/Dynamic
58---
2AOA
iShares Core 80/20 Aggressive Allocation ETF
Allocation - Aggressive
Allocation - Aggressive
55---
3ITDD
iShares LifePath Target Date 2040 ETF
Target Date 2040 & 2045
Target Date 2040 & 2045
54---
4AOR
iShares Core 60/40 Balanced Allocation ETF
Allocation - Moderate
Allocation - Moderate
54---
5ITDC
iShares LifePath Target Date 2035 ETF
Target Date 2030 & 2035
Target Date 2030 & 2035
54---
6BLNDX
STANDPOINT MULTI-ASSET FUND
US Large Core
US Large Core
54---
7GMMA
GammaRoad Market Navigation ETF
Allocation - Aggressive
Allocation - Aggressive
54---
8PVPAX
PIMCO REALPATH Blend 2040 Fund
Target Date 2040 & 2045
Target Date 2040 & 2045
54---
9ELM
Elm Market Navigator ETF
Allocation - Aggressive
Allocation - Aggressive
53---
10SSCJX
State Street Target Retirement 2035 Fund
Target Date 2030 & 2035
Target Date 2030 & 2035
53---

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 7/31/2026. 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.