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ANALYTICS
AnalysisScreenerGroups

Selection

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MATE

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Benchmark

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Peer Universe

Reference set for percentile ranks and factor bars

Equity Funds · 5,640 total

ANALYTICS
AnalysisScreenerGroups

MATE

Man Active Trend Enhanced ETF

Expense Ratio
0.97%
AUM
$42M
Inception
12/18/2025
·

The fund seeks to achieve its investment objective by investing in two complementary investment strategies: an active, trend-following strategy (the “Trend-following Strategy”) and an equity strategy (the “Equity Strategy”). AHL Partners LLP, the fund’s sub-adviser (the “Sub-Adviser”), employs a quantitative model to identify investment opportunities across a wide range of global markets. The fund is non-diversified.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
MATE
Man Active Trend Enhanced ETF
30.8%39.8%20.7%1.76-13.2%
ⓘ 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 12/18/2025 to 10/7/2026.

Trailing Returns

Name
YTD1D5D1M3M6M1Y2Y3Y5YMAX
MATE
Man Active Trend Enhanced ETF
28.5%-1.0%1.2%5.6%10.3%25.4%34.0%
ⓘ 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
MATE
Man Active Trend Enhanced ETF
4.3%*28.5%
ⓘ 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
MATEGlobal Dev
Man Active Trend Enhanced ETF
10.3%1.28**-0.64**0.38-0.21-0.290.07-0.030.66175
ⓘ 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 12/18/2025 to 8/31/2026.

SnapshotAs ofvsⓘ

Fund Profile

Family
Registrant
Type
ETF
Asset Class
Peer Asset Class
Equity
Region
Equity Sleeve Style
Mid Core
Peer Group Benchmark
Peer Group
US Large Core (845 peers)
Expense Ratio
0.97%
AUM
$42M
Inception
12/18/2025
Holdings (Reported)
625
Turnover
0%
Equity
68%
Derivatives
9%
Strategy Summary

The fund seeks to achieve its investment objective by investing in two complementary investment strategies: an active, trend-following strategy (the “Trend-following Strategy”) and an equity strategy (the “Equity Strategy”). AHL Partners LLP, the fund’s sub-adviser (the “Sub-Adviser”), employs a quantitative model to identify investment opportunities across a wide range of global markets. The fund is non-diversified.

ⓘ 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 5/31/2026. Summary may be from an older prospectus.

Equity Size & Style Map

LargeMidSmall
5%
9%
24%
2%
2%
8%
-
-
50%
Large
ValueCoreGrowth
Size
Large
39%
Mid
11%
Small
50%
Style
Value
7%
Core
11%
Growth
82%
ⓘ 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 (68% 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 5/31/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Equity Funds

Intangible Value54.5
Traditional Value40.5
Small-Cap66.0
Quality56.1
Momentum15.9
ⓘ 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 Equity 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: Equity Funds

Valuation
Book-to-Price (NTM)20.0
Sales-to-Price (NTM)29.6
Earnings-to-Price (NTM)4.5
Innovation/IP
R&D / Mkt Cap1.5
Patents / Mkt Cap0.34
Brand
Sales & Marketing / Mkt Cap0.81
Trademarks / Mkt Cap0.10
Human Capital
PhD Employees / Mkt Cap3.1
Top University Alumni / Mkt Cap5.4
Politics
Lobbying Spend / Mkt Cap8.9
AI
AI Employees / Mkt Cap0.58
ⓘ 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 (Equity 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.

Asset Class Exposure

Equity50.2%
Fixed Income29.5%
Other9.8%
Cash & Other (Unreported)10.5%
Short positions of 2.2% of net assets are not shown.ⓘ Methodology

Shares of the fund's long book, from the asset category each position is filed under. Holdings that are themselves funds are looked through one level to their own mix (56% of the book). N-PORT does not itemise plain balance-sheet cash, so the 10.5% the filing leaves unlisted is shown as an unreported residual rather than assumed away. The short book is stated under the card and never netted into a slice: a pie cannot draw a negative, and folding a hedge into the class it offsets would make it look like more of that class. Other is everything we could not name as an asset class: holdings the filing itself labels as other, derivative positions at the market value the filing reports rather than at notional, and funds held inside this fund whose own holdings we could not read.

Country Exposure

Level
54.8%
54.8%
45.2%
40.7%
4.1%
Other0.4%
ⓘ 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
53.4%
16.1%
14.6%
3.8%
3.6%
3.4%
1.7%
1.1%
0.8%
0.7%
0.7%
ⓘ 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

AI Composition

Infrastructure19.5%
Early Adopter21.8%
Laggard58.8%

Magnificent 7

Magnificent 712.2%
Non-Magnificent 787.8%

Old vs New Economy

Old Economy76.7%
New Economy23.3%

Globalization

Multinational83.2%
Exporter2.2%
Importer9.5%
Domestic5.1%

China Exposure

China/HK Domiciled0.0%
Revenue & Operations16.3%
Operations Only17.0%
Revenue Only4.1%
No Material Exposure62.7%

Company Size

Mega (>$500B)17.8%
Large ($70–500B)14.9%
Mid ($10–70B)17.0%
Small ($1–10B)50.3%
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 68% 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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118 positions (top 10 shown, create for full holdings) · 50.4% in funds

#NameTickerWeight %SectorIndustryCountry
1iShares TrustIVV
50.30
--USA
2United States OF America - Bureau OF The Public Debt-
14.99
--USA
3Standard & Poors's 500SPX
6.70
IndustrialsHeavy MachineryUSA
4United States OF America - Bureau OF The Public Debt-
3.77
--USA
5United States OF America - Bureau OF The Public Debt-
3.76
--USA
6United States OF America - Bureau OF The Public Debt-
3.75
--USA
7United States OF America - Bureau OF The Public Debt-
3.27
--USA
8NASDAQNDAQ
1.05
FinancialsInvestment ManagementUSA
9Financial Times Stock ExchangeRTY
0.56
--USA
10Tokyo Stock ExchangeTPX
0.33
--JPN
ⓘ 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: Equity Funds

Total Holdings625
Effective Holdings2.8
Top 10 Weight88.5%
Max Position50.3%
Top Sector (of Net Assets)81%
Top Country (of Net Assets)89%
ⓘ 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 (Equity Funds) 25th–75th percentile, notched at the median. Holdings as of 5/31/2026.

Peer Group Rank

See All Peer Groups
Metric
MATE
Man Active Trend Enhanced ETF
Peer Group
845 funds
Peer Region
3,133 funds
Peer Asset Class
5,640 funds
YTD Return
28.49%13.47%9812.22%9811.63%94
1Y Return
----
3Y Return (Ann.)
----
5Y Return (Ann.)
----
Expense Ratiohigher = cheaper
0.97%0.57%180.75%290.74%30
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (1,763 share classes across 845 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
1GMMA
GammaRoad Market Navigation ETF
Allocation - Aggressive
Allocation - Aggressive
58---
2MAFIX
Abbey Capital Multi-Asset Fund
US Large Core
US Large Core
58---
3RYNVX
Nova Fund
Leveraged - Equity
Leveraged - Equity
58---
4MKAM
MKAM ETF
Allocation - Moderate
Allocation - Moderate
57---
5CRDBX
Potomac Defensive Bull Fund
US Large Core
US Large Core
57---
6IRGMX
Voya Retirement Moderately Aggressive Portfolio
Allocation - Aggressive
Allocation - Aggressive
57---
7TSPX
Twin Oak Active Opportunities ETF
Allocation - Aggressive
Allocation - Aggressive
57---
8HF
Dga Core Plus Absolute Return ETF
Alts - Global Macro
Alts - Global Macro
56---
9CFNDX
Cargile Fund
Allocation - Aggressive
Allocation - Aggressive
56---
10ETFRX
NORTH SQUARE TACTICAL DEFENSIVE FUND
Allocation - Tactical/Dynamic
Allocation - Tactical/Dynamic
56---

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.