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ANALYTICS
AnalysisScreenerGroups

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QSU

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Benchmark

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Peer Universe

Reference set for percentile ranks and factor bars

Leveraged Funds · 749 total

ANALYTICS
AnalysisScreenerGroups

QSU

LeveragedSingle StockMaterial Change

Defiance Daily Target 2x Long Qs ETF

Expense Ratio
1.32%
AUM
$8M
Inception
10/22/2025
·

The fund invests at least 80% of its assets in financial instruments designed to achieve 200% of the daily performance of the Underlying Security, utilizing derivatives such as swap agreements and listed options contracts. It primarily employs short-dated in-the-money call options and may allocate 40% to 60% of its assets as collateral for these derivatives. The strategy results in high portfolio turnover and is concentrated in the Automobile Components industry, reflecting the focus on the Underlying Security, QuantumScape Corporation.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
QSU
Defiance Daily Target 2x Long Qs ETF
-95.5%-96.1%143.5%-0.70-97.4%
ⓘ 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 10/22/2025 to 10/7/2026.

Trailing Returns

Name
YTD1D5D1M3M6M1Y2Y3Y5YMAX
QSU
Defiance Daily Target 2x Long Qs ETF
-90.5%-6.1%-6.5%-36.4%-64.5%-66.8%-96.7%
ⓘ 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
QSU
Defiance Daily Target 2x Long Qs ETF
-64.5%*-90.5%
ⓘ 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
QSUUS
Defiance Daily Target 2x Long Qs ETF
-281.1%**3.43**2.54*-1.18-4.48**0.61-0.54-1.72*0.52215
ⓘ 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 10/22/2025 to 8/31/2026.

SnapshotAs ofvsⓘ

Fund ProfileLeveragedSectorSingle StockNon-DiversifiedMaterial Change

Fund Documents(opens the fund company’s site in a new tab)
Registrant
Type
ETF
Asset Class
Peer Asset Class
Leveraged
Region
Prospectus Benchmark
S And P500 Total Return Index
Peer Group
Leveraged - Equity (703 peers)
Expense Ratio
1.32%
AUM
$8M
Inception
10/22/2025
Holdings (Reported)
9
Non-Diversified
Yes
Turnover
0%
Equity
-407%
Derivatives
-407%
Net Equity Exposure
201%
Strategy Summary

The fund invests at least 80% of its assets in financial instruments designed to achieve 200% of the daily performance of the Underlying Security, utilizing derivatives such as swap agreements and listed options contracts. It primarily employs short-dated in-the-money call options and may allocate 40% to 60% of its assets as collateral for these derivatives. The strategy results in high portfolio turnover and is concentrated in the Automobile Components industry, reflecting the focus on the Underlying Security, QuantumScape Corporation.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table. Turnover from the SEC annual report (7/27/2026). Yield as of 10/6/2026, AUM 7/31/2026. Holdings, asset class, style, peer group and exposures as of 7/31/2026. Strategy summary from the fund's prospectus.

Composite Factors

Not scored — QSU’s holdings don’t clear the coverage floor for composite factor scores.

Factor DetailsRef: Leveraged Funds

None of the selected metrics are scored for QSU — 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 (Leveraged 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 7/31/2026.

Country Exposure

Level

Based on holdings that carry a country (50% of total assets).

100.0%
100.0%
ⓘ 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
100.0%
ⓘ 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

Old vs New Economy

Old Economy100.0%
New Economy0.0%

Company Size

Mega (>$500B)0.0%
Large ($70–500B)0.0%
Mid ($10–70B)0.0%
Small ($1–10B)100.0%
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 -407% of net assets) — they are not portfolio weights. 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%. 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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9 positions

#NameTickerWeight %SectorIndustryCountry
1Treasury Bill-
46.62
--USA
2First American Government Obli-
4.75
--USA
3QuantumScapeQS
0.50
Consumer DiscAutomobilesUSA
4QuantumScapeQS
0.47
Consumer DiscAutomobilesUSA
5QuantumScapeQS
-2.79
Consumer DiscAutomobilesUSA
6QuantumScapeQS
-2.97
Consumer DiscAutomobilesUSA
7QuantumScapeQS
-3.31
Consumer DiscAutomobilesUSA
8QuantumScapeQS
-7.36
Consumer DiscAutomobilesUSA
9QuantumScapeQS
-25.77
Consumer DiscAutomobilesUSA
ⓘ 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. Holdings as of 7/31/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Leveraged Funds

Total Holdings9
Effective Holdings1.2
Top 10 Weight52.4%
Max Position46.6%
Top Sector (of Net Assets)51%
Top Country (of Net Assets)52%
ⓘ 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 (Leveraged Funds) 25th–75th percentile, notched at the median. Holdings as of 7/31/2026.

Benchmark DifferentiationRef: Leveraged Funds

vs SPYBroad Benchmark
Active Share100.0%
ⓘ 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
QSU
Defiance Daily Target 2x Long Qs ETF
Peer Group
703 funds
Peer Asset Class
749 funds
YTD Return
-90.55%-10.30%2-10.88%2
1Y Return
---
3Y Return (Ann.)
---
5Y Return (Ann.)
---
Expense Ratiohigher = cheaper
1.32%0.99%240.99%24
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (768 share classes across 703 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 Similarity86
Top Overlap
Top Active Tilt
FundPeer Group
1IONX
Defiance Daily Target 2x Long Ionq ETF
Leveraged - Equity
Leveraged - Equity
86--
2RKLX
Defiance Daily Target 2x Long Rklb ETF
Leveraged - Equity
Leveraged - Equity
86--
3SPCL
Defiance Daily 2X Space ETF
Leveraged - Equity
Leveraged - Equity
86--
4ORCX
Defiance Daily Target 2x Long Orcl ETF
Leveraged - Equity
Leveraged - Equity
86--
5AVGX
Defiance Daily Target 2x Long Avgo ETF
Leveraged - Equity
Leveraged - Equity
86--
6IRE
Defiance Daily Target 2x Long Iren ETF
Leveraged - Equity
Leveraged - Equity
86--
7LUNL
Defiance Daily Target 2x Long Lunr ETF
Leveraged - Equity
Leveraged - Equity
85--
8NGHT
Nicholas Bitcoin and Treasuries Afterdark ETF
Digital Assets - Futures
Digital Assets - Futures
85--
9AMA
Defiance Daily Target 2x Long AMAT ETF
Leveraged - Equity
Leveraged - Equity
85--
10OKLL
Defiance Daily Target 2x Long Oklo ETF
Leveraged - Equity
Leveraged - Equity
85--

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.