Grant Park Dynamic Allocation Fund
The fund seeks to achieve its investment objective by pursuing diversified investment opportunities across multiple foreign and domestic markets. The fund manager executes active risk management and position hedging strategies to seek positive returns while seeking to protect the fund against excessive exposure from unnecessary market risks.
| Name | Cumulative Return | Ann. Return | Ann. Vol | Sharpe | Max DD |
|---|---|---|---|---|---|
Grant Park Dynamic Allocation Fund | 15.2% | 15.2% | 12.7% | 0.90 | -9.7% |
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.
Name | YTD | 1D | 5D | 1M | 3M | 6M | 1Y | 2Y | 3Y | 5Y | MAX |
|---|---|---|---|---|---|---|---|---|---|---|---|
Grant Park Dynamic Allocation Fund | 13.3% | -0.1% | 1.1% | 1.6% | 6.4% | 10.8% | 15.2% | 18.2% |
ETF performance based on market prices. Returns for periods greater than one year are annualized. As of 10/7/2026.
Name | 2025 | YTD |
|---|---|---|
Grant Park Dynamic Allocation Fund | 18.3% | 13.3% |
ETF performance based on market prices. As of 10/7/2026.
Select a second series, or to correlate with the seven research factors.
Name | Ann. α | β MKT | β SMB | β HML | β RMW | β CMA | β UMD | β iHML | R² | Obs |
|---|---|---|---|---|---|---|---|---|---|---|
GPKAXUS Grant Park Dynamic Allocation Fund | 4.8% | 0.81** | -0.22** | 0.14* | -0.12* | 0.12 | -0.11** | -0.32** | 0.68 | 226 |
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.
The fund seeks to achieve its investment objective by pursuing diversified investment opportunities across multiple foreign and domestic markets. The fund manager executes active risk management and position hedging strategies to seek positive returns while seeking to protect the fund against excessive exposure from unnecessary market risks.
MethodologyExpense 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 6/30/2026. Summary may be from an older prospectus.
None of the selected metrics are scored for GPKAX — switch the picker to All, or add metrics under Metrics (top right).
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 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.
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 (32% of the book). Cash & Short-Term includes 8.6% 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. 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 (1.7% here).
Based on holdings that carry a country (47% of total assets).
Shares are percentages of the holdings that carry a country, not portfolio weights. Based on N-PORT domicile; ADRs list under their exchange. Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.
49 positions (top 10 shown, create for full holdings) · 29.2% in funds
| # | Name | Ticker | Weight % | Country |
|---|---|---|---|---|
| 1 | Morgan Stanley Institutional Liquidity Funds | - | 36.76 | USA |
| 2 | Vanguard Specialized Funds | VGSIX | 12.05 | USA |
| 3 | Invesco Actively Managed Exchange-Traded Commodity Fund Trust | PDBC | 9.09 | USA |
| 4 | United States OF America - Bureau OF The Public Debt | - | 8.73 | USA |
| 5 | United States OF America - Bureau OF The Public Debt | - | 7.30 | USA |
| 6 | United States OF America - Bureau OF The Public Debt | - | 7.26 | USA |
| 7 | Vanguard International Equity Index Funds | VEIEX | 4.12 | USA |
| 8 | Vanguard Tax-Managed Funds | VTMGX | 3.94 | USA |
| 9 | Fidelity Colchester Street Trust | - | 0.38 | USA |
| 10 | Chicago Mercantile Exchange | - | 0.36 | USA |
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 6/30/2026. Stock-level data as of 8/31/2026.
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 6/30/2026.
Metric | GPKAX Grant Park Dynamic Allocation Fund | Peer Group 94 funds | Peer Asset Class 1,365 funds |
|---|---|---|---|
YTD Return | 13.27% | 8.84%75 | 7.49%87 |
1Y Return | 15.23% | 10.74%77 | 9.48%82 |
3Y Return (Ann.) | - | - | - |
5Y Return (Ann.) | - | - | - |
Expense Ratiohigher = cheaper | 1.93% | 1.55%23 | 0.80%6 |
Sparkline's own holdings-based peer taxonomy (189 share classes across 94 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.
Nearest funds across the whole universe, by holdings and behavior — the peer taxonomy is ignored, so matches can come from any category.
| Fund | Peer Group | ||||||
|---|---|---|---|---|---|---|---|
| 1 | GPAAX Grant Park Multi Alternative Strategies Fund Alts - Other | Alts - Other | 77 | - | - | - | - |
| 2 | SMIDX SOUND MIND INVESTING DYNAMIC ALLOCATION FUND Allocation - Tactical/Dynamic | Allocation - Tactical/Dynamic | 44 | - | - | - | - |
| 3 | ARP PMV Adaptive Risk Parity ETF Alts - Capital Efficient (Multi-Asset) | Alts - Capital Efficient (Multi-Asset) | 42 | - | - | - | - |
| 4 | RAA SMI 3Fourteen REAL Asset Allocation ETF Allocation - Moderate | Allocation - Moderate | 39 | - | - | - | - |
| 5 | EDGH 3EDGE Dynamic Hard Assets ETF Fixed Income - Core | Fixed Income - Core | 32 | - | - | - | - |
| 6 | NTIIX Navigator Tactical Investment Grade Bond Fund Fixed Income - Core | Fixed Income - Core | 27 | - | - | - | - |
| 7 | ASMF Virtus AlphaSimplex Managed Futures ETF Alts - Managed Futures/CTA | Alts - Managed Futures/CTA | 27 | - | - | - | - |
| 8 | AHLT American Beacon AHL Trend ETF Fixed Income - Core | Fixed Income - Core | 27 | - | - | - | - |
| 9 | HGER Harbor Commodity All-Weather Strategy ETF Commodities - Broad | Commodities - Broad | 26 | - | - | - | - |
| 10 | GDL GDL Fund Allocation - Aggressive | Allocation - Aggressive | 26 | - | - | - | - |
The method columns are members-only — create a free account to see these figures.
MethodologyRows 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. 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.