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ANALYTICS
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SECEX

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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

SECEX

Naa Large Core Fund

Expense Ratio
1.25%
AUM
$283M
Inception
1/2/1980
1Y Return
+20.3%76th %ilevs 5,640 asset-class peers
·

The fund invests at least 80% of its assets in large-capitalization securities with "core" characteristics, balancing value and growth investing, as defined by the Adviser. It primarily holds equity securities, including common stocks, REITs, options, and American Depositary Receipts, while employing a proprietary h-factor methodology to identify and avoid underperforming stocks. This approach utilizes an actuarial risk-based algorithm to score securities based on their revenue growth potential, aiming to construct a diversified portfolio across sectors and asset classes.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
SECEX
Naa Large Core Fund
20.3%20.3%14.5%1.13-10.2%
ⓘ 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 10/7/2025 to 10/7/2026.

Trailing Returns

Name
YTD1D5D1M3M6M1Y2Y3Y5YMAX
SECEX
Naa Large Core Fund
17.0%-0.1%2.0%1.6%4.7%22.7%20.3%18.8%24.0%12.9%10.1%
ⓘ Methodology

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

Annual Returns

Name
1980198119821983198419851986198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022202320242025YTD
SECEX
Naa Large Core Fund
62.9%-22.6%23.3%16.2%-9.6%33.6%3.6%-3.2%29.0%55.1%-3.2%36.7%7.1%-0.5%-9.8%32.2%22.7%29.6%26.5%11.0%-12.5%-11.8%-23.6%21.5%7.4%5.7%13.2%-5.2%-37.1%28.8%15.6%-4.4%12.4%28.3%14.9%0.8%12.9%22.0%-8.0%30.8%17.7%28.2%-22.0%26.8%25.7%16.0%17.0%
ⓘ Methodology

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
SECEXUS
Naa Large Core Fund
-0.3%0.97**-0.18**0.06*-0.13**0.060.10**0.030.95226
ⓘ 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
Equity
Region
Equity Size & Style
Peer Group Benchmark
Prospectus Benchmark
SP500 Index TR4069 Index
Peer Group
US Large Core (845 peers)
1Y Peer Percentile
89
3Y Peer Percentile
85
Expense Ratio
1.25%
5Y Tax Drag
4.02%/yr
AUM
$283M
3Y Flow
-9.9%
Yield
0.13%
History Since
1/2/1980
Holdings (Reported)
1,157
Turnover
141%
Equity
96%
Derivatives
0%
Strategy Summary

The fund invests at least 80% of its assets in large-capitalization securities with "core" characteristics, balancing value and growth investing, as defined by the Adviser. It primarily holds equity securities, including common stocks, REITs, options, and American Depositary Receipts, while employing a proprietary h-factor methodology to identify and avoid underperforming stocks. This approach utilizes an actuarial risk-based algorithm to score securities based on their revenue growth potential, aiming to construct a diversified portfolio across sectors and asset classes.

ⓘ 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 (12/9/2025). Yield as of 10/6/2026, AUM 9/30/2026. Holdings, asset class, style, peer group and exposures as of 6/30/2026. Strategy summary from the fund's prospectus.

Equity Size & Style Map

LargeMidSmall
22%
24%
45%
4%
3%
2%
-
-
-
Large
ValueCoreGrowth
Size
Large
91%
Mid
9%
Small
0%
Style
Value
25%
Core
27%
Growth
47%
ⓘ Methodology

Equity size and style definitions. Size: each holding is scored against its own market's size curve — Large above $61.7B in the US and $21.4B elsewhere, Small below $10.8B worldwide — and a fund sits at the weighted average of its holdings. Style: each holding's Traditional Value score is ranked against stocks of the same region and size, and a fund sits at the weighted average of those ranks. Both are relative measures — where a holding stands among comparable stocks, not an absolute threshold. The dollar lines are recomputed from total market capitalisation each time the data is refreshed; the shares of the market they mark are what stay fixed. Cell shading and percentages: share of classified holdings weight per box. The grid and the dot are built from one set of per-holding scores — the dot is their weighted average — so they describe the same book at two levels of detail. The Size and Style bars are the grid's row and column totals. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Equity Funds

Intangible Value79.4
Traditional Value34.5
Small-Cap12.1
Quality75.6
Momentum79.1
ⓘ 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 6/30/2026. Stock-level data as of 8/31/2026.

Factor DetailsRef: Equity Funds

Valuation
Book-to-Price (NTM)22.2
Sales-to-Price (NTM)26.5
Earnings-to-Price (NTM)4.9
Innovation/IP
R&D / Mkt Cap1.5
Patents / Mkt Cap1.1
Brand
Sales & Marketing / Mkt Cap1.2
Trademarks / Mkt Cap0.03
Human Capital
PhD Employees / Mkt Cap3.9
Top University Alumni / Mkt Cap10.4
Politics
Lobbying Spend / Mkt Cap18.5
AI
AI Employees / Mkt Cap1.1
ⓘ 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 6/30/2026. 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
99.2%
99.2%
Other (1 region)0.8%
ⓘ Methodology

Shares are percentages of the holdings that carry a country, not portfolio weights. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

Sector Exposure

Level
43.6%
12.7%
10.4%
8.0%
6.9%
6.7%
5.2%
4.9%
1.2%
0.3%
0.0%
ⓘ 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 6/30/2026. Stock-level data as of 8/31/2026.

Thematic Exposure

AI Composition

Infrastructure53.4%
Early Adopter30.3%
Laggard16.3%

Magnificent 7

Magnificent 724.3%
Non-Magnificent 775.7%

Old vs New Economy

Old Economy40.0%
New Economy60.0%

Globalization

Multinational72.7%
Exporter6.2%
Importer8.4%
Domestic12.7%

China Exposure

China/HK Domiciled0.0%
Revenue & Operations19.8%
Operations Only16.2%
Revenue Only3.5%
No Material Exposure60.4%

Company Size

Mega (>$500B)41.2%
Large ($70–500B)47.4%
Mid ($10–70B)11.4%
Small ($1–10B)0.0%
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 96% 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 6/30/2026. Stock-level data as of 8/31/2026.

Holdings

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142 positions (top 10 shown, create for full holdings) · 1.1% in funds

#NameTickerWeight %SectorIndustryCountry
1NvidiaNVDA
6.85
TechnologySemiconductorsUSA
2AppleAAPL
6.34
TechnologyTechnology HardwareUSA
3Micron TechnologyMU
4.65
TechnologySemiconductorsUSA
4AlphabetGOOGL
4.46
CommunicationInternet PlatformsUSA
5MicrosoftMSFT
4.05
TechnologySoftwareUSA
6Advanced Micro DevicesAMD
2.89
TechnologySemiconductorsUSA
7IntelINTC
2.88
TechnologySemiconductorsUSA
8BroadcomAVGO
2.50
TechnologySemiconductorsUSA
9Amazon.comAMZN
2.43
Consumer DiscE-CommerceUSA
10CaterpillarCAT
1.88
IndustrialsHeavy MachineryUSA
ⓘ Methodology

"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 6/30/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Equity Funds

Total Holdings1,157
Effective Holdings43.6
Top 10 Weight38.9%
Max Position6.8%
Top Sector (of Net Assets)45%
Top Country (of Net Assets)98%
ⓘ 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 6/30/2026.

Benchmark DifferentiationRef: Equity Funds

vs SPYBroad Benchmark
Active Share40.5%
Tracking Error3.4%
Benchmark Correlation0.96
ⓘ Methodology

One sub-card per benchmark: the market primary, then the style secondary — the gap between them is the style sleeve itself. Both anchors are Sparkline-inferred (market from asset class and region, style from the holdings size-and-style map), not the fund's official prospectus benchmark. Solid blue dot marks the fund; the shaded band spans the reference set's 25th–75th percentile, notched at the median (band follows the Peer Universe selector). Active Share compares the fund's book with the benchmark's, share for share; Tracking Error is the annualized daily deviation over the trailing two years (ruler runs to just past the universe's 95th percentile, or past the fund's own figure where that is larger); Benchmark Correlation is the plain daily correlation over the trailing year. Hover the labels for full definitions.

Peer Group Rank

See All Peer Groups
Metric
SECEX
Naa Large Core Fund
Peer Group
845 funds
Peer Region
3,133 funds
Peer Asset Class
5,640 funds
YTD Return
17.02%13.47%8712.22%8211.63%77
1Y Return
20.28%15.89%8914.40%8314.44%76
3Y Return (Ann.)
24.04%21.69%8518.16%8718.50%83
5Y Return (Ann.)
12.89%12.02%648.90%848.64%83
Expense Ratiohigher = cheaper
1.25%0.57%70.75%110.74%12
ⓘ 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 Similarity72
Top Overlap
Top Active Tilt
Top Factor Match
Top Return Corr
Top FF Match
FundPeer Group
1TVFRX
NAA ALLOCATION FUND
Allocation - Aggressive
Allocation - Aggressive
72-----
2SPYM
State Street(R) SPDR(R) Portfolio S&P 500(R) ETF
US Large Core
US Large Core
42-----
3DYNF
iShares U.S. Equity Factor Rotation Active ETF
US Large Core
US Large Core
42-----
4NACP
Impact Shares Naacp Minority Empowerment ETF
US Large Core
US Large Core
42-----
5WFIOX
Allspring Index Fund
US Large Core
US Large Core
42-----
6VOO
VANGUARD 500 INDEX FUND
US Large Core
US Large Core
42-----
7SPMO
Invesco S&P 500 Momentum ETF
US Large Core
US Large Core
40-----
8IVV
iShares Core S&P 500 ETF
US Large Core
US Large Core
40-----
9VV
VANGUARD LARGE-CAP INDEX FUND
US Large Core
US Large Core
40-----
10VVLVX
Venerable Large Cap Index Fund
US Large Core
US Large Core
40-----

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 6/30/2026. 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.