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ANALYTICS
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GPTY

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Peer Universe

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Options Funds · 830 total

ANALYTICS
AnalysisScreenerGroups

GPTY

Non-DiversifiedMaterial Change

YieldMax(R) AI & Tech Portfolio Option Income ETF

Expense Ratio
1.06%
AUM
$130M
Inception
1/24/2025
1Y Return
+31.6%97th %ilevs 830 asset-class peers
·

The fund invests at least 80% of its assets in equity securities of AI and Technology Companies and options contracts on these companies and related ETFs. It focuses on constructing a portfolio of 15-30 companies involved in sectors such as AI software, cloud infrastructure, and semiconductors, while employing options strategies like covered call spreads to generate premiums. The fund may also hold cash or U.S. Treasuries, not exceeding 10% of total assets, to support its strategies and income generation.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
GPTY
YieldMax(R) AI & Tech Portfolio Option Income ETF
31.6%31.6%27.8%1.00-19.3%
ⓘ 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
GPTY
YieldMax(R) AI & Tech Portfolio Option Income ETF
35.0%-0.5%1.8%4.4%8.3%40.5%31.6%30.9%
ⓘ Methodology

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

Annual Returns

Name
2025YTD
GPTY
YieldMax(R) AI & Tech Portfolio Option Income ETF
17.1%*35.0%
ⓘ 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
GPTYUS
YieldMax(R) AI & Tech Portfolio Option Income ETF
4.1%1.19**-0.14-0.17-0.63**-0.240.140.020.82226
ⓘ 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
Options
Region
Equity Size & Style
Peer Group Benchmark
Prospectus Benchmark
S And P500 Total Return Index
Peer Group
Options - Income (295 peers)
1Y Peer Percentile
91
Expense Ratio
1.06%
AUM
$130M
Yield
24.10%
Inception
1/24/2025
Holdings (Reported)
138
Non-Diversified
Yes
Turnover
29%
Equity
92%
Derivatives
-3%
Option Notional
14%
Strategy Summary

The fund invests at least 80% of its assets in equity securities of AI and Technology Companies and options contracts on these companies and related ETFs. It focuses on constructing a portfolio of 15-30 companies involved in sectors such as AI software, cloud infrastructure, and semiconductors, while employing options strategies like covered call spreads to generate premiums. The fund may also hold cash or U.S. Treasuries, not exceeding 10% of total assets, to support its strategies and income generation.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table. Turnover from the SEC annual report (10/7/2026). Yield as of 10/6/2026, AUM 9/30/2026. Holdings, asset class, style, peer group and exposures as of 7/31/2026. Strategy summary from the fund's prospectus.

Equity Size & Style Map

LargeMidSmall
5%
15%
66%
-
-
2%
-
-
12%
Large
ValueCoreGrowth
Size
Large
86%
Mid
2%
Small
12%
Style
Value
5%
Core
15%
Growth
80%
ⓘ 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 7/31/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Options Funds

Intangible Value81.8
Traditional Value4.7
Small-Cap33.5
Quality39.7
Momentum80.5
ⓘ 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 Options Funds class 25th–75th percentile of scores, notched at the median. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

Factor DetailsRef: Options Funds

Valuation
Book-to-Price (NTM)11.7
Sales-to-Price (NTM)12.1
Earnings-to-Price (NTM)2.2
Innovation/IP
R&D / Mkt Cap2.6
Patents / Mkt Cap1.9
Brand
Sales & Marketing / Mkt Cap1.9
Trademarks / Mkt Cap0.06
Human Capital
PhD Employees / Mkt Cap5.7
Top University Alumni / Mkt Cap23.0
Politics
Lobbying Spend / Mkt Cap24.1
AI
AI Employees / Mkt Cap5.7
ⓘ 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 7/31/2026. Stock-level data as of 8/31/2026. Expense ratio, yield, and turnover as of 10/6/2026. AUM as of 9/30/2026.

Asset Class Exposure

Equity93.6%
Fixed Income2.8%
Other3.7%
Short positions of 6.1% of net assets are not shown.ⓘ Methodology

Shares of the fund's long book, from the asset category each position is filed under. 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.

Country Exposure

Level
96.8%
95.3%
1.5%
3.2%
3.2%
ⓘ Methodology

Shares are percentages of the holdings that carry a country, not portfolio weights. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

Sector Exposure

Level
71.8%
11.2%
8.6%
8.4%
ⓘ 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 7/31/2026. Stock-level data as of 8/31/2026.

Thematic Exposure

AI Composition

Infrastructure70.0%
Early Adopter26.2%
Laggard3.7%

Magnificent 7

Magnificent 732.3%
Non-Magnificent 767.7%

Old vs New Economy

Old Economy11.6%
New Economy88.4%

Globalization

Multinational69.0%
Exporter5.3%
Importer15.0%
Domestic10.7%

China Exposure

China/HK Domiciled0.0%
Revenue & Operations24.9%
Operations Only10.5%
Revenue Only4.7%
No Material Exposure59.9%

Company Size

Mega (>$500B)45.5%
Large ($70–500B)40.2%
Mid ($10–70B)2.3%
Small ($1–10B)12.0%
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 92% 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 7/31/2026. Stock-level data as of 8/31/2026.

Holdings

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89 positions (top 10 shown, create for full holdings)

#NameTickerWeight %SectorIndustryCountry
1NvidiaNVDA
6.66
TechnologySemiconductorsUSA
2SnowflakeSNOW
6.55
TechnologySoftwareUSA
3AlphabetGOOGL
6.20
CommunicationInternet PlatformsUSA
4Amazon.comAMZN
4.90
Consumer DiscE-CommerceUSA
5MicrosoftMSFT
4.88
TechnologySoftwareUSA
6AppleAAPL
4.80
TechnologyTechnology HardwareUSA
7IBMIBM
4.70
TechnologyIT ConsultingUSA
8Advanced Micro DevicesAMD
4.59
TechnologySemiconductorsUSA
9BroadcomAVGO
4.41
TechnologySemiconductorsUSA
10Hut 8HUT
4.27
FinancialsInvest BankingUSA
ⓘ Methodology

Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Options Funds

Total Holdings138
Effective Holdings25.1
Top 10 Weight52.0%
Max Position6.7%
Top Sector (of Net Assets)73%
Top Country (of Net Assets)100%
ⓘ 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 7/31/2026.

Benchmark DifferentiationRef: Options Funds

vs SPYBroad Benchmark
Active Share63.7%
Tracking Error17.4%
Benchmark Correlation0.82
vs IWFStyle Benchmark
Active Share61.7%
Tracking Error13.9%
Benchmark Correlation0.87
ⓘ 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
GPTY
YieldMax(R) AI & Tech Portfolio Option Income ETF
Peer Group
295 funds
Peer Asset Class
830 funds
YTD Return
35.01%6.95%957.62%98
1Y Return
31.56%10.43%9110.70%97
3Y Return (Ann.)
---
5Y Return (Ann.)
---
Expense Ratiohigher = cheaper
1.06%0.99%270.79%12
ⓘ 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 Similarity44
Top Overlap
Top Active Tilt
Top Factor Match
Top Return Corr
Top FF Match
FundPeer Group
1FAI
First Trust Bloomberg Artificial Intelligence ETF
Sector - AI
Sector - AI
44-----
2AIBU
Direxion Daily AI and Big Data Bull 2X Shares
Leveraged - Equity
Leveraged - Equity
44-----
3AGIX
KraneShares Artificial Intelligence and Technology Public and Private ETF
Sector - AI
Sector - AI
41-----
4AIPI
REX AI Equity Premium Income ETF
Options - Income
Options - Income
41-----
5ILDR
First Trust Innovation Leaders ETF
US Large Growth
US Large Growth
41-----
6IETC
iShares U.S. Tech Independence Focused ETF
Sector - Technology
Sector - Technology
39-----
7KTCAX
DWS Science and Technology Fund
Sector - Technology
Sector - Technology
37-----
8IGM
iShares Expanded Tech Sector ETF
Sector - Technology
Sector - Technology
36-----
9XNTK
State Street(R) SPDR(R) NYSE Technology ETF
Sector - Technology
Sector - Technology
36-----
10TTEQ
T. Rowe Price Technology ETF
Sector - Technology
Sector - Technology
36-----

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 7/31/2026. 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.