© 2026 Sparkline Capital LP. All rights reserved.

For informational purposes only. Not investment advice or a recommendation of any security or fund. Past performance is not indicative of future results.

Terms of Service | Privacy Policy | Disclosures | Methodology |

ANALYTICS
AnalysisScreenerGroups

Selection

Selected (1/4)

TFPN

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

Alternatives Funds · 251 total

ANALYTICS
AnalysisScreenerGroups

TFPN

Non-DiversifiedMaterial Change

Blueprint Chesapeake Multi-asset Trend ETF

Expense Ratio
1.96%
AUM
$159M
Inception
7/13/2023
1Y Return
+19.3%80th %ilevs 251 asset-class peers
·

The fund invests through the Chesapeake Multi Asset Trend Program, utilizing both long and short positions across a wide range of asset classes, including equities, fixed income, currencies, and commodities. The portfolio typically comprises 300-500 securities and financial instruments, with approximately half of market risk exposure through derivatives and the other half through equity positions, which may include U.S. and non-U.S. securities without regard to market capitalization. Additionally, a Cash Strategy managed by Blueprint invests in short-term U.S. Treasury securities and cash equivalents for margin and collateral purposes.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
TFPN
Blueprint Chesapeake Multi-asset Trend ETF
19.3%19.3%16.4%0.95-10.9%
ⓘ 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
TFPN
Blueprint Chesapeake Multi-asset Trend ETF
17.2%-0.9%0.6%-0.6%-0.8%5.4%19.3%11.9%7.2%6.5%
ⓘ Methodology

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

Annual Returns

Name
202320242025YTD
TFPN
Blueprint Chesapeake Multi-asset Trend ETF
-1.6%*2.7%3.6%17.2%
ⓘ 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
TFPNUS
Blueprint Chesapeake Multi-asset Trend ETF
10.4%0.62**-0.120.23*-0.130.070.14-0.33**0.52226
ⓘ 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 ProfileNon-DiversifiedMaterial Change

Fund Documents(opens the fund company’s site in a new tab)
Family
Registrant
Type
ETF
Asset Class
Peer Asset Class
Alternatives
Region
Equity Sleeve Style
Large Core
Peer Group Benchmark
Prospectus Benchmark
S And P500 Total Return Index
Peer Group
Alts - Managed Futures/CTA (35 peers)
1Y Peer Percentile
52
3Y Peer Percentile
45
Expense Ratio
1.96%
AUM
$159M
3Y Flow
+187.6%
Yield
0.00%
Inception
7/13/2023
Holdings (Reported)
9,913
Non-Diversified
Yes
Turnover
66%
Equity
83%
Derivatives
7%
Option Notional
4%
Strategy Summary

The fund invests through the Chesapeake Multi Asset Trend Program, utilizing both long and short positions across a wide range of asset classes, including equities, fixed income, currencies, and commodities. The portfolio typically comprises 300-500 securities and financial instruments, with approximately half of market risk exposure through derivatives and the other half through equity positions, which may include U.S. and non-U.S. securities without regard to market capitalization. Additionally, a Cash Strategy managed by Blueprint invests in short-term U.S. Treasury securities and cash equivalents for margin and collateral purposes.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table. Turnover from the SEC annual report (9/3/2026). 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
13%
13%
22%
10%
9%
19%
3%
7%
5%
Large
ValueCoreGrowth
Size
Large
48%
Mid
37%
Small
16%
Style
Value
26%
Core
29%
Growth
45%
ⓘ 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. This fund is not an equity fund, so the box describes its equity sleeve only (83% of assets): the sleeve's own holdings are scored, and the rest of the portfolio (bonds, cash, other assets) is not represented here. 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: Alternatives Funds

Intangible Value20.7
Traditional Value53.7
Small-Cap73.1
Quality29.0
Momentum88.5
ⓘ 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 Alternatives 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: Alternatives Funds

Valuation
Book-to-Price (NTM)15.9
Sales-to-Price (NTM)26.5
Earnings-to-Price (NTM)2.8
Innovation/IP
R&D / Mkt Cap0.68
Patents / Mkt Cap0.23
Brand
Sales & Marketing / Mkt Cap0.28
Trademarks / Mkt Cap0.02
Human Capital
PhD Employees / Mkt Cap2.5
Top University Alumni / Mkt Cap3.1
Politics
Lobbying Spend / Mkt Cap10.2
AI
AI Employees / Mkt Cap0.19
ⓘ 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 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

Based on holdings that carry a country (78% of total assets).

80.5%
78.6%
1.1%
Other0.8%
17.4%
7.1%
3.1%
2.5%
1.3%
1.2%
Other2.4%
2.2%
1.0%
Other1.1%
ⓘ 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
27.5%
21.8%
16.9%
8.3%
6.2%
4.7%
4.2%
3.0%
2.9%
2.1%
2.1%
ⓘ 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

Infrastructure31.1%
Early Adopter12.6%
Laggard56.3%

Magnificent 7

Magnificent 70.9%
Non-Magnificent 799.1%

Old vs New Economy

Old Economy72.0%
New Economy28.0%

Globalization

Multinational44.9%
Exporter8.3%
Importer17.6%
Domestic29.1%

China Exposure

China/HK Domiciled0.2%
Revenue & Operations15.1%
Operations Only8.8%
Revenue Only7.8%
No Material Exposure68.1%

Company Size

Mega (>$500B)5.1%
Large ($70–500B)33.2%
Mid ($10–70B)46.8%
Small ($1–10B)14.8%
Micro (<$1B)0.1%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 83% 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

See more rows — create a free account▾

439 positions (top 10 shown, create for full holdings) · 10.8% in funds

#NameTickerWeight %SectorIndustryCountry
1--
5.77
--USA
2First American Government Obli-
5.05
--USA
3Western DigitalWDC
3.53
TechnologyTechnology HardwareUSA
4Lumentum HoldingsLITE
3.41
TechnologyTechnology HardwareUSA
5iShares National Muni Bond ETFMUB
2.63
--USA
6Micron TechnologyMU
2.48
TechnologySemiconductorsUSA
7iShares TIPS Bond ETFTIP
2.15
--USA
8Bloom EnergyBE
2.11
IndustrialsElectrical & Power EqUSA
9Carpenter TechnologyCRS
1.98
MaterialsIndustrial MetalsUSA
10AzzAZZ
1.60
IndustrialsElectrical & Power EqUSA
ⓘ 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 6/30/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Alternatives Funds

Total Holdings9,913
Effective Holdings68.8
Top 10 Weight30.7%
Max Position5.8%
Top Sector (of Net Assets)24%
Top Country (of Net Assets)83%
ⓘ 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 6/30/2026.

Peer Group Rank

See All Peer Groups
Metric
TFPN
Blueprint Chesapeake Multi-asset Trend ETF
Peer Group
35 funds
Peer Asset Class
251 funds
YTD Return
17.17%16.01%617.46%82
1Y Return
19.34%19.31%529.54%80
3Y Return (Ann.)
7.16%7.28%459.55%34
5Y Return (Ann.)
---
Expense Ratiohigher = cheaper
1.96%1.20%271.42%30
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (75 share classes across 35 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

See more rows — create a free account▾

Nearest funds across the whole universe, by holdings and behavior — the peer taxonomy is ignored, so matches can come from any category.

Top Similarity23
Top Overlap
Top Active Tilt
Top Factor Match
Top Return Corr
Top FF Match
FundPeer Group
1MFUT
Cambria Chesapeake Pure Trend ETF
Leveraged - Equity
Leveraged - Equity
23-----
2DWAFX
Arrow DWA Tactical: Balanced Fund
Allocation - Tactical/Dynamic
Allocation - Tactical/Dynamic
23-----
3ATCSX
Anchor Risk Managed Income Strategies Fund
Allocation - Moderate
Allocation - Moderate
23-----
4PACIX
Columbia Convertible Securities Fund
Fixed Income - Convertibles
Fixed Income - Convertibles
21-----
5FCVSX
Fidelity Convertible Securities Fund
Allocation - Conservative
Allocation - Conservative
19-----
6APSHX
Pinnacle Multi-Strategy Core Fund
Alts - Other
Alts - Other
18-----
7LACCX
Lord Abbett Convertible Fund
Fixed Income - Convertibles
Fixed Income - Convertibles
18-----
8EHLS
Even Herd Long Short ETF
Alts - Long/Short Equity
Alts - Long/Short Equity
18-----
9GDMA
Gadsden Dynamic Multi-Asset ETF
Allocation - Moderate
Allocation - Moderate
18-----
10VYGJX
Voya Global Income & Growth Fund
Allocation - Moderate
Allocation - Moderate
16-----

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.