© 2026 Sparkline Capital LP. All rights reserved.

For informational purposes only. Not investment advice or a recommendation of any security or fund. Past performance is not indicative of future results.

Terms of Service | Privacy Policy | Disclosures | Methodology |

ANALYTICS
AnalysisScreenerGroups

Selection

Selected (1/4)

AGOX

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

Asset Allocation Funds · 1,365 total

ANALYTICS
AnalysisScreenerGroups

AGOX

Adaptive Alpha Opportunities ETF

Expense Ratio
1.36%
AUM
$378M
Inception
5/11/2021
1Y Return
+13.0%69th %ilevs 1,365 asset-class peers
·

The fund invests in exchange-traded funds that are not affiliated with it, focusing on equity securities of any market capitalization from various countries, including emerging markets. It employs a bottom-up, quantitative approach to identify sectors and individual securities with potential for improved risk-adjusted returns, while also investing directly in equity and fixed income securities, including investment grade bonds of any duration. A risk management strategy monitors equity market trends and may involve significant allocations to cash and options for downside protection.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
AGOX
Adaptive Alpha Opportunities ETF
13.0%13.0%20.0%0.46-15.3%
ⓘ 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 10/7/2025 to 10/7/2026.

Trailing Returns

Name
YTD1D5D1M3M6M1Y2Y3Y5YMAX
AGOX
Adaptive Alpha Opportunities ETF
18.1%-0.4%1.1%0.4%0.1%24.2%13.0%11.7%17.0%8.1%8.7%
ⓘ Methodology

ETF performance based on market prices. Returns for periods greater than one year are annualized. As of 10/7/2026.

Annual Returns

Name
20212022202320242025YTD
AGOX
Adaptive Alpha Opportunities ETF
9.5%*-19.0%19.1%16.0%8.6%18.1%
ⓘ 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
AGOXUS
Adaptive Alpha Opportunities ETF
-2.9%0.81**0.00-0.14-0.080.240.27**0.060.48226
ⓘ 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 Profile

Fund Documents(opens the fund company’s site in a new tab)
Family
Registrant
Type
ETF
Asset Class
Peer Asset Class
Asset Allocation
Region
Equity Sleeve Style
Large Growth
Peer Group Benchmark
Prospectus Benchmark
Msci Acwi Index
Peer Group
Allocation - Aggressive (327 peers)
1Y Peer Percentile
64
3Y Peer Percentile
65
Expense Ratio
1.36%
5Y Tax Drag
1.04%/yr
AUM
$378M
3Y Flow
+80.9%
Yield
0.00%
Inception
5/11/2021
Holdings (Reported)
34,528
Turnover
2621%
Equity
71%
Derivatives
5%
Option Notional
-30%
Strategy Summary

The fund invests in exchange-traded funds that are not affiliated with it, focusing on equity securities of any market capitalization from various countries, including emerging markets. It employs a bottom-up, quantitative approach to identify sectors and individual securities with potential for improved risk-adjusted returns, while also investing directly in equity and fixed income securities, including investment grade bonds of any duration. A risk management strategy monitors equity market trends and may involve significant allocations to cash and options for downside protection.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table; tax drag from its after-tax return table. Turnover from the SEC annual report (8/7/2026). 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

LargeMidSmall
10%
22%
54%
3%
3%
5%
1%
2%
2%
Large
ValueCoreGrowth
Size
Large
85%
Mid
10%
Small
4%
Style
Value
14%
Core
26%
Growth
60%
ⓘ 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 (71% 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: Asset Allocation Funds

Intangible Value26.0
Traditional Value54.2
Small-Cap75.2
Quality32.6
Momentum45.4
ⓘ 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 Asset Allocation 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: Asset Allocation Funds

Valuation
Book-to-Price (NTM)8.4
Sales-to-Price (NTM)12.7
Earnings-to-Price (NTM)1.7
Innovation/IP
R&D / Mkt Cap0.47
Patents / Mkt Cap0.35
Brand
Sales & Marketing / Mkt Cap0.54
Trademarks / Mkt Cap0.02
Human Capital
PhD Employees / Mkt Cap1.6
Top University Alumni / Mkt Cap3.1
Politics
Lobbying Spend / Mkt Cap5.8
AI
AI Employees / Mkt Cap0.33
ⓘ 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 (Asset Allocation 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

Based on holdings that carry a country (58% of total assets).

85.0%
85.0%
8.3%
3.0%
2.5%
1.1%
Other1.7%
6.7%
1.7%
1.4%
Other3.6%
ⓘ 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
55.6%
9.0%
8.4%
7.4%
5.3%
3.9%
2.9%
2.4%
2.1%
1.7%
1.4%
ⓘ 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

Infrastructure56.6%
Early Adopter21.1%
Laggard22.4%

Magnificent 7

Magnificent 722.2%
Non-Magnificent 777.8%

Old vs New Economy

Old Economy28.9%
New Economy71.1%

Globalization

Multinational73.2%
Exporter5.8%
Importer6.6%
Domestic14.4%

China Exposure

China/HK Domiciled1.2%
Revenue & Operations21.0%
Operations Only18.9%
Revenue Only8.8%
No Material Exposure50.1%

Company Size

Mega (>$500B)39.7%
Large ($70–500B)40.6%
Mid ($10–70B)15.7%
Small ($1–10B)3.7%
Micro (<$1B)0.2%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 71% 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

See more rows — create a free account▾

291 positions (top 10 shown, create for full holdings) · 107% in funds

#NameTickerWeight %SectorIndustryCountry
1Fidelity Investments-
26.73
--USA
2Invesco QQQ TrustQQQ
6.18
--USA
3Health Care Select SXLV
5.78
--USA
4Technology SelectXLK
5.22
--USA
5Communication ServicXLC
4.61
--USA
6Vanguard FTSE EmergiVEIEX
4.59
--USA
7Invesco QQQ TrustQQQ
4.41
--USA
8Western DigitalWDC
3.69
TechnologyTechnology HardwareUSA
9State Street SPDRSPY
3.21
--USA
10iShares GlobalIGF
2.89
--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: Asset Allocation Funds

Total Holdings34,528
Effective Holdings24.3
Top 10 Weight67.3%
Max Position26.7%
Top Sector (of Net Assets)138%
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 (Asset Allocation Funds) 25th–75th percentile, notched at the median. Holdings as of 5/31/2026.

Peer Group Rank

See All Peer Groups
Metric
AGOX
Adaptive Alpha Opportunities ETF
Peer Group
327 funds
Peer Asset Class
1,365 funds
YTD Return
18.07%8.65%957.49%98
1Y Return
13.00%11.06%649.48%69
3Y Return (Ann.)
16.96%15.42%6514.23%69
5Y Return (Ann.)
8.13%7.12%666.38%70
Expense Ratiohigher = cheaper
1.36%0.94%160.80%14
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (945 share classes across 327 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

See more rows — create a free account▾

Nearest funds across the whole universe, by holdings and behavior — the peer taxonomy is ignored, so matches can come from any category.

Top Similarity38
Top Overlap
Top Active Tilt
Top Factor Match
Top Return Corr
Top FF Match
FundPeer Group
1RHRX
RH Tactical Rotation ETF
Allocation - Tactical/Dynamic
Allocation - Tactical/Dynamic
38-----
2CRDBX
Potomac Defensive Bull Fund
US Large Core
US Large Core
38-----
3OCIO
ClearShares OCIO ETF
Allocation - Aggressive
Allocation - Aggressive
38-----
4TEBRX
Teberg Fund
US Large Core
US Large Core
38-----
5QJUN
FT Vest Nasdaq-100 Buffer ETF - June
Options - Buffer/Defined Outcome
Options - Buffer/Defined Outcome
38-----
6QTJA
Innovator Growth Accelerated Plus ETF - January
US Large Growth
US Large Growth
38-----
7LEXI
Alexis Practical Tactical ETF
Allocation - Tactical/Dynamic
Allocation - Tactical/Dynamic
37-----
8TFAQX
TFA Quantitative Fund
US Large Core
US Large Core
34-----
9SFY
Sofi Select 500 ETF
US Large Growth
US Large Growth
31-----
10ETFOX
NORTH SQUARE TACTICAL GROWTH FUND
Allocation - Tactical/Dynamic
Allocation - Tactical/Dynamic
31-----

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. Return Correlation = correlation of market-hedged daily returns over the trailing two years (CAPM residuals), so only market-beta co-movement is removed; requires ~18 months of daily history (378 of the window's 504 trading days). Fama-French Similarity = 1/(1+d), where d is the Euclidean distance between factor betas (market, size, value, profitability, investment, momentum, intangible value) from up to three years of daily returns (min 378 daily observations and regression R² of at least 0.25); 1.00 = identical loadings.