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ANALYTICS
AnalysisScreenerGroups

Selection

Selected (1/4)

ATACX

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

ATACX

ATAC Rotation Fund

Expense Ratio
1.87%
AUM
$50M
Inception
9/10/2012
1Y Return
+9.2%48th %ilevs 1,365 asset-class peers
·

The adviser invests the fund's assets primarily in shares of a diversified portfolio of exchange-traded funds ("ETFs") that track various indices or multiples thereof, sometimes referred to "underlying ETFs." These indices may track the performance of the equity and/or fixed income markets, in general, or the performance of specific sectors (e.g., a large grouping of companies operating within the market that share similar characteristics) or market segments (e.g., large, medium, or small capitalization domestic and/or foreign companies).

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
ATACX
ATAC Rotation Fund
9.2%9.2%18.7%0.29-10.6%
ⓘ 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
ATACX
ATAC Rotation Fund
14.0%-0.3%2.5%1.2%2.0%8.9%9.2%14.9%19.3%1.2%6.3%
ⓘ Methodology

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

Annual Returns

Name
20122013201420152016201720182019202020212022202320242025YTD
ATACX
ATAC Rotation Fund
3.9%*9.5%-6.5%1.7%8.6%27.0%-11.4%7.7%72.8%-10.6%-25.8%2.1%5.0%18.7%14.0%
ⓘ 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
ATACXDev Ex-US
ATAC Rotation Fund
7.3%0.37**-0.77**-0.39-0.97**-0.27-0.13-0.220.25226
ⓘ Methodology

ETF performance based on market prices. Dev Ex-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). 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
Mutual Fund
Asset Class
Peer Asset Class
Asset Allocation
Region
Equity Sleeve Style
Large Core
Peer Group Benchmark
Peer Group
Allocation - Aggressive (327 peers)
1Y Peer Percentile
33
3Y Peer Percentile
88
Expense Ratio
1.87%
AUM
$50M
3Y Flow
+2.0%
Yield
1.66%
Inception
9/10/2012
Holdings (Reported)
6,011
Equity
80%
Derivatives
2%
Strategy Summary

The adviser invests the fund's assets primarily in shares of a diversified portfolio of exchange-traded funds ("ETFs") that track various indices or multiples thereof, sometimes referred to "underlying ETFs." These indices may track the performance of the equity and/or fixed income markets, in general, or the performance of specific sectors (e.g., a large grouping of companies operating within the market that share similar characteristics) or market segments (e.g., large, medium, or small capitalization domestic and/or foreign companies).

ⓘ Methodology

Expense ratio and its components 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

Based on equity exposure only (67% of total assets).

LargeMidSmall
12%
24%
33%
4%
4%
5%
6%
5%
6%
Large
ValueCoreGrowth
Size
Large
70%
Mid
13%
Small
17%
Style
Value
23%
Core
33%
Growth
44%
ⓘ 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 (80% 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

Based on equity exposure only (67% of total assets).

Intangible Value13.8
Traditional Value58.4
Small-Cap59.5
Quality53.0
Momentum77.7
ⓘ 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 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

Based on equity exposure only (67% of total assets).

Valuation
Book-to-Price (NTM)44.3
Sales-to-Price (NTM)46.4
Earnings-to-Price (NTM)7.7
Innovation/IP
R&D / Mkt Cap1.8
Patents / Mkt Cap1.4
Brand
Sales & Marketing / Mkt Cap2.8
Trademarks / Mkt Cap0.04
Human Capital
PhD Employees / Mkt Cap1.4
Top University Alumni / Mkt Cap1.2
Politics
Lobbying Spend / Mkt Cap1.4
AI
AI Employees / Mkt Cap0.48
ⓘ 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.

Asset Class Exposure

Equity93.7%
Cash & Short-Term4.9%
Other1.4%
ⓘ 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 (98% of the book). 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
94.4%
28.9%
20.4%
13.5%
10.3%
3.9%
2.9%
2.7%
1.9%
1.4%
1.3%
1.3%
Other6.1%
3.5%
3.5%
2.0%
1.4%
Other0.6%
ⓘ 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

Based on equity exposure only (67% of total assets).

Technology41.7%
Financials17.9%
Consumer Discretionary9.1%
Communication6.5%
Industrials6.3%
Materials5.9%
Energy3.4%
Healthcare2.9%
Consumer Staples2.7%
Utilities2.3%
Real Estate1.3%
ⓘ 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 5/31/2026. Stock-level data as of 8/31/2026.

Thematic Exposure

Based on equity exposure only (67% of total assets).

AI Composition

Infrastructure41.6%
Early Adopter11.7%
Laggard46.6%

Magnificent 7

Magnificent 70.0%
Non-Magnificent 7100.0%

Old vs New Economy

Old Economy45.7%
New Economy54.3%

Globalization

Multinational29.8%
Exporter15.9%
Importer6.1%
Domestic48.2%

China Exposure

China/HK Domiciled22.7%
Revenue & Operations6.2%
Operations Only19.8%
Revenue Only7.7%
No Material Exposure43.6%

Company Size

Mega (>$500B)28.0%
Large ($70–500B)17.8%
Mid ($10–70B)37.6%
Small ($1–10B)16.0%
Micro (<$1B)0.5%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 80% 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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5 positions · 98.3% in funds

#NameTickerWeight %Country
1iShares Core MSCI Emerging MarIEMG
39.45
USA
2State Street SPDR Portfolio EmSPEM
23.50
USA
3Schwab Emerging Markets EquitySCHE
18.64
USA
4Direxion Daily MSCI Emerging MEDC
16.75
USA
5First American Government Obli-
2.05
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 Holdings6,011
Effective Holdings3.7
Top 10 Weight100.4%
Max Position39.5%
Top Sector (of Net Assets)100%
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
ATACX
ATAC Rotation Fund
Peer Group
327 funds
Peer Asset Class
1,365 funds
YTD Return
14.03%8.65%897.49%92
1Y Return
9.22%11.06%339.48%48
3Y Return (Ann.)
19.25%15.42%8814.23%83
5Y Return (Ann.)
1.22%7.12%46.38%4
Expense Ratiohigher = cheaper
1.87%0.94%90.80%7
ⓘ 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

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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 Factor Match
Top Return Corr
FundPeer Group
1DFAE
Dimensional Emerging Core Equity Market ETF
Emerging Large Core
Emerging Large Core
46----
2EMXF
iShares ESG Advanced MSCI EM ETF
Emerging Large Core
Emerging Large Core
46----
3IEMG
iShares Core MSCI Emerging Markets ETF
Emerging Large Core
Emerging Large Core
43----
4DUKX
Ocean Park International ETF
Global ex-US Large Core
Global ex-US Large Core
43----
5GMF
State Street(R) SPDR(R) S&P(R) Emerging Asia Pacific ETF
Region - Emerging Asia
Region - Emerging Asia
43----
6VEXC
VANGUARD EMERGING MARKETS EX-CHINA ETF
Emerging Large Core
Emerging Large Core
43----
7EEM
iShares MSCI Emerging Markets ETF
Emerging Large Core
Emerging Large Core
40----
8DFEM
Dimensional Emerging Markets Core Equity 2 ETF
Emerging Large Core
Emerging Large Core
40----
9EMCR
Xtrackers Emerging Markets Carbon Reduction and Climate Improvers ETF
Emerging Large Core
Emerging Large Core
40----
10HEEM
iShares Currency Hedged MSCI Emerging Markets ETF
Emerging Large Core
Emerging Large Core
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 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).