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ANALYTICS
AnalysisScreenerGroups

Selection

Selected (1/4)

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Benchmark

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Peer Universe

Reference set for percentile ranks and factor bars

No percentile overlays — plain values and bars

ANALYTICS
AnalysisScreenerGroups

Allocation - Tactical/Dynamic

Composite

Peer Group

Expense Ratio
1.55%
#NameTickerAUM
1PIMCO All Asset FundPAALX$10.9B
2BlackRock Tactical Opportunities FundPCBAX$7.2B
3Goldman Sachs Tactical Tilt Overlay FundTTIFX$4.5B
4Kensington Dynamic Allocation FundKAGAX$2.1B
5PIMCO All Asset All Authority FundPAUIX$964M
6GuidePath Tactical Allocation FundGPTUX$824M
7Counterpoint Tactical Equity FundCPAEX$763M
8Dynamic Allocation FundFLDGX$640M
9Direxion HCM Tactical Enhanced US ETFHCMT$617M
10North Square Tactical Growth FundETFOX$597M
Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
Peer Group
11.9%11.9%10.2%0.80-6.0%
ⓘ Methodology

Peer composites equal-weight the group's share-class representatives' daily returns, including delisted members' alive-era history via the frozen year-end snapshots — though our coverage of closed funds is partial, so composite levels at older dates may run slightly high. Membership is the latest known — style migrators carry their full history. 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
Peer Group
10.3%-0.3%1.3%-0.4%1.4%9.3%11.9%11.5%14.1%6.9%7.9%
ⓘ 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
Peer Group
15.4%6.3%27.1%12.6%5.8%12.1%17.0%-3.2%14.7%15.8%-2.6%24.1%7.5%11.3%-7.0%20.7%16.1%19.9%17.5%10.5%-3.6%-6.3%-14.3%21.8%8.4%4.6%9.9%7.9%-24.5%25.8%12.6%-3.8%11.4%17.1%5.0%-5.3%4.4%14.2%-5.8%19.6%9.0%13.4%-13.1%11.7%11.8%11.8%10.3%
ⓘ 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
Global Dev
Peer Group
-1.7%0.75**-0.28**0.03-0.25**0.050.00-0.040.94226
ⓘ 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 10/7/2025 to 8/31/2026.

Factor History

Allocation - Tactical/Dynamic Composite

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SnapshotAs ofvsⓘ

Fund Profile

Type
71% Mutual Fund, 29% ETF
Asset Class
35% , 32% , 30% , …
Peer Asset Class
Asset Allocation
Region
91% , 7% , 2%
Equity Size & Style
Peer Group
Allocation - Tactical/Dynamic (94 peers)
1Y Peer Percentile
49
3Y Peer Percentile
48
Expense Ratio
1.55%
5Y Tax Drag
1.22%/yr
Median Member AUM
$82M
3Y Flow
+31.8%
Yield
1.47%
History Since
1/2/1980
Holdings (Reported)
12,303
Turnover
86%
Equity
64%
Derivatives
0%
ⓘ Methodology

Every figure on this card is an equal-weight aggregate over the composite's share-class-deduped members: the median across the members reporting each field, blank where too few of them do. Three rows depart from that, because a median of them would say nothing: Inception is the group's OLDEST member — where its combined history can start; 3Y Flow is the group's own net flow over its own assets, not the middle member's rate; and Type, Asset Class and Region are compositions by member count. Holdings is the merged look-through book — distinct positions across the members' holdings.

Equity Size & Style Map

Based on equity exposure only (54% of total assets).

LargeMidSmall
16%
24%
34%
6%
6%
5%
3%
3%
2%
Large
ValueCoreGrowth
Size
Large
74%
Mid
17%
Small
8%
Style
Value
26%
Core
33%
Growth
41%
ⓘ 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). 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. Stock-level data as of 8/31/2026. 19 of this group's 94 funds hold too little equity to count.

Composite Factors

Based on equity exposure only (54% of total assets).

Intangible Value59.9
Traditional Value41.8
Small-Cap40.2
Quality61.0
Momentum59.1
ⓘ 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's universe-normalized score; percentile overlays are off (Peer Universe: None). Stock-level data as of 8/31/2026. 19 of this group's 94 funds hold too little equity to count.

Factor Details

Based on equity exposure only (54% of total assets).

Valuation
Book-to-Price (NTM)26.1
Sales-to-Price (NTM)40.8
Earnings-to-Price (NTM)5.0
Innovation/IP
R&D / Mkt Cap1.7
Patents / Mkt Cap0.88
Brand
Sales & Marketing / Mkt Cap1.6
Trademarks / Mkt Cap0.07
Human Capital
PhD Employees / Mkt Cap4.0
Top University Alumni / Mkt Cap9.6
Politics
Lobbying Spend / Mkt Cap15.4
AI
AI Employees / Mkt Cap1.0
ⓘ 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); percentile overlays are off (Peer Universe: None). Stock-level data as of 8/31/2026. 19 of this group's 94 funds hold too little equity to count.

Asset Class Exposure

Equity59.2%
Fixed Income16.6%
Cash & Short-Term16.8%
Commodities1.1%
Other4.4%
Cash & Other (Unreported)0.8%
No Holdings Data1.1%
Short positions of 0.2% 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 (54% of the book). N-PORT does not itemise plain balance-sheet cash, so the 0.8% the filing leaves unlisted is shown as an unreported residual rather than assumed away. Cash & Short-Term includes 0.7% of net assets the filing does not itemise. 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. 1.1% of this book sits in funds we hold no holdings file for and is drawn as its own slice. 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 (0.6% here). Alternatives holds funds counted by what they are rather than by what they hold - alternative strategies, and funds that are short. A pie cannot draw a negative, and adding a hedge to the class it offsets would make it look like more of that class.

Country Exposure

Level

Based on holdings that carry a country (77% of total assets).

United States84.2%
United States83.6%
Other0.6%
Developed Ex-US11.2%
Japan2.1%
United Kingdom1.8%
Canada1.5%
Other5.9%
Emerging Markets4.6%
ⓘ Methodology

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

Sector Exposure

Level

Based on equity exposure only (54% of total assets).

Technology30.3%
Financials13.7%
Industrials11.5%
Healthcare9.4%
Consumer Discretionary8.2%
Communication7.4%
Energy5.3%
Consumer Staples4.6%
Materials4.1%
Utilities2.9%
Real Estate2.7%
ⓘ Methodology

Shares are percentages of the fund's classified holdings — every position we can identify, with cash and unidentified positions excluded — not portfolio weights. Stock-level data as of 8/31/2026. 19 of this group's 94 funds hold too little equity to count.

Thematic Exposure

Based on equity exposure only (54% of total assets).

AI Composition

Infrastructure37.7%
Early Adopter26.4%
Laggard36.0%

Magnificent 7

Magnificent 715.7%
Non-Magnificent 784.3%

Old vs New Economy

Old Economy51.9%
New Economy48.1%

Globalization

Multinational57.7%
Exporter6.1%
Importer11.9%
Domestic24.3%

China Exposure

China/HK Domiciled0.8%
Revenue & Operations12.3%
Operations Only13.7%
Revenue Only4.9%
No Material Exposure68.3%

Company Size

Mega (>$500B)26.3%
Large ($70–500B)37.2%
Mid ($10–70B)27.1%
Small ($1–10B)9.1%
Micro (<$1B)0.4%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 64% 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. Stock-level data as of 8/31/2026. 19 of this group's 94 funds hold too little equity to count.

Holdings

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10 of 94 funds (top 10 shown, create for all 94)

#NameTickerWeight %AUM
1PIMCO All Asset FundPAALX
1.06
$10.9B
2BlackRock Tactical Opportunities FundPCBAX
1.06
$7.2B
3Goldman Sachs Tactical Tilt Overlay FundTTIFX
1.06
$4.5B
4Kensington Dynamic Allocation FundKAGAX
1.06
$2.1B
5PIMCO All Asset All Authority FundPAUIX
1.06
$964M
6GuidePath Tactical Allocation FundGPTUX
1.06
$824M
7Counterpoint Tactical Equity FundCPAEX
1.06
$763M
8Dynamic Allocation FundFLDGX
1.06
$640M
9Direxion HCM Tactical Enhanced US ETFHCMT
1.06
$617M
10North Square Tactical Growth FundETFOX
1.06
$597M
ⓘ Methodology

The funds this composite is made of, each counting once (100 ÷ 10 — the same equal weighting behind its returns and its median exposures), listed largest first by assets. Tick Look-Through to expand them into the stocks they hold. Holdings Concentration beside this card always describes that looked-through book, not this list — it is a statement about exposure, not about the roster. Stock-level data as of 8/31/2026.

Concentration

Total Holdings12,303
Effective Holdings273.3
Top 10 Weight14.4%
Max Position1.8%
Top Sector (of Net Assets)30%
Top Country (of Net Assets)84%
ⓘ 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; percentile overlays are off (Peer Universe: None). Every row on this card describes the composite's merged look-through book — the stocks its members hold — not the list of member funds, whatever the Holdings card is showing.

Peer Group Rank

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Metric
Allocation - Tactical/Dynamic Composite
94 funds
Peer Asset Class
1,365 funds
YTD Return
8.84%7.49%59
1Y Return
10.74%9.48%57
3Y Return (Ann.)
13.36%14.21%44
5Y Return (Ann.)
5.92%6.38%45
Expense Ratiohigher = cheaper
1.55%0.80%11
ⓘ Methodology

Allocation - Tactical/Dynamic Composite is a Sparkline peer composite — its members are the share-class representatives of the funds in the group (one class per fund: the exchange-listed class where the SEC series has one, else its longest-history class). This card ranks it against its asset class, Asset Allocation, which is the only pool a composite has: there is no peer group of peer groups, and the region tier is a fund-level grouping. Typical Member rows are medians across those representatives — the value is the group’s median, and the percentile is the median of the members’ own ranks within Asset Allocation, so both describe the middle fund rather than the group as a whole. Quartile chips fill the layer the rank falls in (top layer = best quartile). A dash is a window the group is younger than, or one too few Asset Allocation funds have a history for to rank against — hover it for which.