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ANALYTICS
AnalysisScreenerGroups

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TNMAX

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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

TNMAX

1290 Multi-Alternative Strategies Fund

Expense Ratio
1.53%
AUM
$42M
Inception
7/6/2015
1Y Return
+10.8%54th %ilevs 251 asset-class peers
·

The fund allocates substantially all of its assets to exchange-traded securities of other investment companies or investment vehicles, primarily focusing on non-traditional (alternative) asset categories and strategies. These include Commodities, Long/Short Equity, Convertible Securities, Managed Futures, Event Driven, Real Return, and Global Real Estate, with weightings determined by the Adviser based on momentum factors. The investment approach aims to enhance portfolio diversification and reduce overall volatility by utilizing alternative investments that may not correlate strongly with traditional equity or fixed income.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
TNMAX
1290 Multi-Alternative Strategies Fund
10.8%10.8%7.8%0.91-3.6%
ⓘ 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
TNMAX
1290 Multi-Alternative Strategies Fund
9.5%-0.5%0.2%-0.9%1.2%3.0%10.8%10.9%11.9%4.4%3.4%
ⓘ Methodology

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

Annual Returns

Name
20152016201720182019202020212022202320242025YTD
TNMAX
1290 Multi-Alternative Strategies Fund
-4.8%*5.6%3.9%-4.3%7.4%4.3%3.0%-11.3%5.3%8.7%13.2%9.5%
ⓘ 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

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Factor Regression

Name
Ann. αβ MKTβ SMBβ HMLβ RMWβ CMAβ UMDβ iHMLR²Obs
TNMAXUS
1290 Multi-Alternative Strategies Fund
5.5%0.41**-0.10*0.12**-0.14**0.11**-0.06*-0.26**0.71226
ⓘ 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
Mutual Fund
Asset Class
Peer Asset Class
Alternatives
Region
Equity Sleeve Style
Mid Core
Peer Group Benchmark
Prospectus Benchmark
Bloomberg U.S. Aggregate Bond Index
Peer Group
Alts - Other (38 peers)
1Y Peer Percentile
78
3Y Peer Percentile
76
Expense Ratio
1.53%
5Y Tax Drag
1.37%/yr
AUM
$42M
3Y Flow
+161.7%
Yield
1.77%
Inception
7/6/2015
Holdings (Reported)
1,610
Turnover
22%
Equity
37%
Derivatives
0%
Strategy Summary

The fund allocates substantially all of its assets to exchange-traded securities of other investment companies or investment vehicles, primarily focusing on non-traditional (alternative) asset categories and strategies. These include Commodities, Long/Short Equity, Convertible Securities, Managed Futures, Event Driven, Real Return, and Global Real Estate, with weightings determined by the Adviser based on momentum factors. The investment approach aims to enhance portfolio diversification and reduce overall volatility by utilizing alternative investments that may not correlate strongly with traditional equity or fixed income.

ⓘ 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 (1/7/2026). Yield as of 10/6/2026, AUM 9/30/2026. Holdings, asset class, style, peer group and exposures as of 7/31/2026. Strategy summary from the fund's prospectus.

Equity Size & Style Map

Based on equity exposure only (38% of total assets).

LargeMidSmall
7%
19%
19%
6%
11%
7%
10%
16%
4%
Large
ValueCoreGrowth
Size
Large
44%
Mid
25%
Small
31%
Style
Value
23%
Core
46%
Growth
30%
ⓘ 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 (37% 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.

Factor DetailsRef: Alternatives Funds

Based on equity exposure only (38% of total assets).

None of the selected metrics are scored for TNMAX — 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 (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.

Country Exposure

Level

Based on holdings that carry a country (64% of total assets).

80.2%
79.8%
Other0.4%
17.1%
3.6%
2.8%
2.0%
1.9%
1.7%
1.0%
Other4.1%
2.7%
1.0%
Other1.7%
ⓘ 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

Based on equity exposure only (38% of total assets).

Real Estate23.9%
Technology20.6%
Industrials9.8%
Financials8.7%
Healthcare8.3%
Utilities7.4%
Consumer Discretionary7.3%
Communication5.9%
Consumer Staples3.3%
Materials2.5%
Energy2.3%
ⓘ 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

Based on equity exposure only (38% of total assets).

Old vs New Economy

Old Economy62.3%
New Economy37.7%

China Exposure

China/HK Domiciled2.3%
Revenue & Operations5.3%
Operations Only9.7%
Revenue Only4.3%
No Material Exposure78.4%

Company Size

Mega (>$500B)10.4%
Large ($70–500B)27.5%
Mid ($10–70B)34.2%
Small ($1–10B)27.6%
Micro (<$1B)0.3%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 37% 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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12 positions (top 10 shown, create for full holdings) · 99.1% in funds

#NameTickerWeight %Country
1iShares Convertible Bond ETFICVT
17.19
USA
2iMGP DBi Managed Futures Strategy ETFDBMF
15.57
USA
3NYLI Merger Arbitrage ETFMNA
12.08
USA
4Invesco Govt And Agcy Lex-
11.38
USA
5Vanguard Short-Term Inflation-Protected Securities ETFVTAPX
11.09
USA
6JPMorgan Equity Premium Income ETFJEPI
9.07
USA
7Invesco DB Precious Metals FundDBP
7.63
USA
8Vanguard Global ex-U.S. Real Estate ETFVGRLX
6.97
USA
9iShares Core U.S. REIT ETFUSRT
6.79
USA
10JPMorgan Nasdaq Equity Premium Income ETFJEPQ
4.76
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 Holdings1,610
Effective Holdings10
Top 10 Weight102.5%
Max Position17.2%
Top Sector (of Net Assets)110%
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 (Alternatives Funds) 25th–75th percentile, notched at the median. Holdings as of 7/31/2026.

Peer Group Rank

See All Peer Groups
Metric
TNMAX
1290 Multi-Alternative Strategies Fund
Peer Group
38 funds
Peer Asset Class
251 funds
YTD Return
9.48%6.34%767.46%60
1Y Return
10.85%8.37%789.49%54
3Y Return (Ann.)
11.94%9.12%769.39%66
5Y Return (Ann.)
4.39%4.23%505.24%35
Expense Ratiohigher = cheaper
1.53%1.41%381.42%43
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (72 share classes across 38 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 Similarity46
Top Overlap
Top Active Tilt
Top Return Corr
Top FF Match
FundPeer Group
1WMRIX
Wilmington Real Asset Fund
Sector - Real Estate (US)
Sector - Real Estate (US)
46----
2RAA
SMI 3Fourteen REAL Asset Allocation ETF
Allocation - Moderate
Allocation - Moderate
46----
3QALTX
Quantified Alternative Investment Fund
Allocation - Tactical/Dynamic
Allocation - Tactical/Dynamic
46----
4SSBRX
State Street Target Retirement 2025 Fund
Target Date 2020 & 2025
Target Date 2020 & 2025
43----
5QAI
NYLIM Hedge Multi-Strategy Tracker ETF
Alts - Other
Alts - Other
43----
6SSFNX
State Street Target Retirement Fund
Target Date Retirement
Target Date Retirement
42----
7TBFC
The Brinsmere Fund - Conservative ETF
Allocation - Moderate
Allocation - Moderate
42----
8FHAWX
Fidelity Freedom Blend 2015 Fund
Target Date Retirement
Target Date Retirement
40----
9ITDB
iShares LifePath Target Date 2030 ETF
Target Date 2030 & 2035
Target Date 2030 & 2035
39----
10FILSX
Fidelity Flex Freedom Blend 2015 Fund
Target Date Retirement
Target Date Retirement
39----

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. 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.