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ANALYTICS
AnalysisScreenerGroups

Selection

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WEEL

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Benchmark

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Peer Universe

Reference set for percentile ranks and factor bars

Options Funds · 830 total

ANALYTICS
AnalysisScreenerGroups

WEEL

Non-Diversified

Peerless Option Income Wheel ETF

Expense Ratio
0.99%
AUM
$45M
Inception
5/17/2024
1Y Return
+12.8%69th %ilevs 830 asset-class peers
·

The fund invests primarily in sector-specific ETFs and individual securities, employing an option wheel strategy that involves writing cash-secured put options to generate income and potentially acquire underlying assets at lower prices. The strategy includes selling covered call options on acquired assets to enhance income, with a focus on maintaining liquidity through short-term U.S. Treasury securities and money market funds. The fund's allocation is guided by the Global Industry Classification Standard, aiming for balanced exposure across sectors while adjusting for risk.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
WEEL
Peerless Option Income Wheel ETF
12.8%12.8%8.9%1.00-4.6%
ⓘ 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
WEEL
Peerless Option Income Wheel ETF
8.6%-0.4%0.5%-1.6%2.6%8.0%12.8%11.9%12.4%
ⓘ Methodology

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

Annual Returns

Name
20242025YTD
WEEL
Peerless Option Income Wheel ETF
3.3%*17.7%8.6%
ⓘ 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
WEELUS
Peerless Option Income Wheel ETF
5.2%0.49**0.070.02-0.10*0.04-0.06*-0.11**0.65226
ⓘ 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-Diversified

Fund Documents(opens the fund company’s site in a new tab)
Family
Registrant
Type
ETF
Asset Class
Peer Asset Class
Options
Region
Equity Sleeve Style
Large Core
Peer Group Benchmark
Prospectus Benchmark
Sand P500 Total Return Index
Peer Group
Options - Income (295 peers)
1Y Peer Percentile
59
Expense Ratio
0.99%
AUM
$45M
Yield
12.87%
Inception
5/17/2024
Holdings (Reported)
1,769
Non-Diversified
Yes
Turnover
638%
Equity
45%
Derivatives
0%
Net Equity Exposure
40%
Option Notional
29%
Strategy Summary

The fund invests primarily in sector-specific ETFs and individual securities, employing an option wheel strategy that involves writing cash-secured put options to generate income and potentially acquire underlying assets at lower prices. The strategy includes selling covered call options on acquired assets to enhance income, with a focus on maintaining liquidity through short-term U.S. Treasury securities and money market funds. The fund's allocation is guided by the Global Industry Classification Standard, aiming for balanced exposure across sectors while adjusting for risk.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table. Turnover from the SEC annual report (6/8/2026). 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

Based on equity exposure only (38% of total assets).

LargeMidSmall
14%
18%
28%
7%
9%
9%
5%
4%
8%
Large
ValueCoreGrowth
Size
Large
59%
Mid
24%
Small
16%
Style
Value
26%
Core
30%
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 (45% 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 6/30/2026. Stock-level data as of 8/31/2026.

Factor DetailsRef: Options Funds

Based on equity exposure only (38% of total assets).

None of the selected metrics are scored for WEEL — switch the picker to All, or add metrics under Metrics (top right).

ⓘ 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 (Options 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 (65% of total assets).

78.0%
77.7%
Other0.3%
14.5%
8.4%
1.9%
1.6%
Other2.7%
7.5%
4.6%
Other2.9%
ⓘ 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

Based on equity exposure only (38% of total assets).

Technology27.4%
Utilities11.9%
Consumer Discretionary11.8%
Materials11.4%
Energy10.5%
Communication9.0%
Healthcare6.8%
Financials5.5%
Industrials4.0%
Consumer Staples1.7%
Real Estate0.1%
ⓘ 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

Based on equity exposure only (38% of total assets).

Old vs New Economy

Old Economy52.9%
New Economy47.1%

China Exposure

China/HK Domiciled13.0%
Revenue & Operations8.1%
Operations Only7.7%
Revenue Only3.0%
No Material Exposure68.2%

Company Size

Mega (>$500B)20.9%
Large ($70–500B)29.9%
Mid ($10–70B)33.3%
Small ($1–10B)15.7%
Micro (<$1B)0.2%
ⓘ Methodology

Shares are percentages of the fund's classified equity book, renormalized so each split sums to 100% (the equity book is 45% 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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35 positions (top 10 shown, create for full holdings) · 42.1% in funds

#NameTickerWeight %Country
1First American Government Obli-
29.30
USA
2Treasury Bill-
18.10
USA
3ARK Innovation ETFARKK
8.14
USA
4Invesco QQQ Trust Series 1QQQ
5.90
USA
5KraneShares CSI China InternetKWEB
4.58
USA
6State Street Utilities SelectXLU
4.39
USA
7iShares MSCI Emerging MarketsEEM
4.06
USA
8VanEck Gold Miners ETF/USAGDX
4.00
USA
9iShares Expanded Tech-SoftwareIGV
3.75
USA
10iShares U.S. Home ConstructionITB
2.29
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 6/30/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Options Funds

Total Holdings1,769
Effective Holdings5.8
Top 10 Weight84.5%
Max Position29.3%
Top Sector (of Net Assets)90%
Top Country (of Net Assets)89%
ⓘ 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 (Options Funds) 25th–75th percentile, notched at the median. Holdings as of 6/30/2026.

Peer Group Rank

See All Peer Groups
Metric
WEEL
Peerless Option Income Wheel ETF
Peer Group
295 funds
Peer Asset Class
830 funds
YTD Return
8.61%6.95%597.62%58
1Y Return
12.76%10.43%5910.70%69
3Y Return (Ann.)
---
5Y Return (Ann.)
---
Expense Ratiohigher = cheaper
0.99%0.99%450.79%18
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (329 share classes across 295 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 Similarity54
Top Overlap
Top Active Tilt
Top Return Corr
Top FF Match
FundPeer Group
1RQEAX
RESQ Dynamic Allocation Fund
Allocation - Tactical/Dynamic
Allocation - Tactical/Dynamic
54----
2HFND
Unlimited HFND Multi-Strategy Return Tracker ETF
Alts - Other
Alts - Other
47----
3MFUT
Cambria Chesapeake Pure Trend ETF
Leveraged - Equity
Leveraged - Equity
47----
4ELM
Elm Market Navigator ETF
Allocation - Aggressive
Allocation - Aggressive
45----
5MAIPX
MAI MANAGED VOLATILITY FUND
Allocation - Moderate
Allocation - Moderate
41----
6COIDX
IDX Adaptive Opportunities Fund
Allocation - Conservative
Allocation - Conservative
41----
7RAA
SMI 3Fourteen REAL Asset Allocation ETF
Allocation - Moderate
Allocation - Moderate
40----
8RQIAX
RESQ Strategic Income Fund
Cash & Ultra-Short
Cash & Ultra-Short
40----
9NOVIX
Global Secured Options Portfolio
Options - Income
Options - Income
19----
10PCEF
Invesco CEF Income Composite ETF
Allocation - Moderate
Allocation - Moderate
19----

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. 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.