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ANALYTICS
AnalysisScreenerGroups

Selection

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APLZ

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Benchmark

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Peer Universe

Reference set for percentile ranks and factor bars

Inverse Funds · 221 total

ANALYTICS
AnalysisScreenerGroups

APLZ

InverseSingle Stock

Tradr 2x Short APLD Daily ETF

Expense Ratio
1.49%
AUM
$5M
Inception
1/23/2026
·

The fund maintains at least 80% exposure to financial instruments providing two times inverse leveraged exposure to the daily performance of APLD, which includes APLD stock and may involve swaps and options. It is concentrated in the Services - Computer Processing & Data Preparation industry, holding 25% or more of total assets in leveraged exposure to this sector. The fund engages in active trading and may invest available cash in U.S. Government securities, money market funds, short-term bond ETFs, and corporate debt securities.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
APLZ
Tradr 2x Short APLD Daily ETF
-77.3%-87.9%202.6%-0.45-91.8%
ⓘ 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 1/23/2026 to 10/7/2026.

Trailing Returns

Name
YTD1D5D1M3M6M1Y2Y3Y5YMAX
APLZ
Tradr 2x Short APLD Daily ETF
-81.1%11.9%2.1%5.1%-10.8%-73.7%-81.1%
ⓘ Methodology

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

Annual Returns

Name
YTD
APLZ
Tradr 2x Short APLD Daily ETF
-81.1%
ⓘ Methodology

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
APLZUS
Tradr 2x Short APLD Daily ETF
-52.2%-4.34**-3.42*2.431.351.80-0.914.69**0.58152
ⓘ 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 1/23/2026 to 8/31/2026.

SnapshotAs ofvsⓘ

Fund ProfileInverseSingle Stock

Family
Registrant
Type
ETF
Asset Class
Peer Asset Class
Inverse
Peer Group
Inverse - Equity (188 peers)
Expense Ratio
1.49%
AUM
$5M
Inception
1/23/2026
Holdings (Reported)
2
Turnover
0%
Equity
100%
Derivatives
100%
Net Equity Exposure
-239%
Strategy Summary

The fund maintains at least 80% exposure to financial instruments providing two times inverse leveraged exposure to the daily performance of APLD, which includes APLD stock and may involve swaps and options. It is concentrated in the Services - Computer Processing & Data Preparation industry, holding 25% or more of total assets in leveraged exposure to this sector. The fund engages in active trading and may invest available cash in U.S. Government securities, money market funds, short-term bond ETFs, and corporate debt securities.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table. Turnover 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. Strategy summary from the fund's prospectus.

Composite Factors

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

Factor DetailsRef: Inverse Funds

None of the selected metrics are scored for APLZ — 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 (Inverse 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.

Holdings

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2 positions

#NameTickerWeight %SectorIndustryCountry
1Applied DigitalAPLD
45.67
TechnologyIT ConsultingUSA
2Applied DigitalAPLD
0.56
TechnologyIT ConsultingUSA
ⓘ Methodology

Holdings as of 6/30/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Inverse Funds

Total Holdings2
Effective Holdings1
Top 10 Weight46.2%
Max Position45.7%
Top Sector (of Net Assets)46%
Top Country (of Net Assets)46%
ⓘ 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 (Inverse Funds) 25th–75th percentile, notched at the median. Holdings as of 6/30/2026.

Peer Group Rank

See All Peer Groups
Metric
APLZ
Tradr 2x Short APLD Daily ETF
Peer Group
188 funds
Peer Asset Class
221 funds
YTD Return
-81.06%-23.88%10-21.64%8
1Y Return
---
3Y Return (Ann.)
---
5Y Return (Ann.)
---
Expense Ratiohigher = cheaper
1.49%1.02%211.00%20
ⓘ Methodology

Sparkline's own holdings-based peer taxonomy (233 share classes across 188 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 Similarity26
Top Overlap
Top Active Tilt
FundPeer Group
1MNRS
Grayscale Bitcoin Miners ETF
Digital Assets - Equity
Digital Assets - Equity
26--
2HRSMX
Hood River Small-Cap Growth Fund
US Small Growth
US Small Growth
8--
3DAPP
VanEck Digital Transformation ETF
Digital Assets - Equity
Digital Assets - Equity
7--
4IBLC
iShares Blockchain and Tech ETF
Digital Assets - Equity
Digital Assets - Equity
7--
5BKCH
Global X Blockchain ETF
Digital Assets - Equity
Digital Assets - Equity
6--
6HRNIX
Hood River New Opportunities Fund
US Small Growth
US Small Growth
6--
7HRIOX
Hood River International Opportunity Fund
Global ex-US SMID Growth
Global ex-US SMID Growth
6--
8DTCR
Global X Data Center & Digital Infrastructure ETF
Sector - Infrastructure
Sector - Infrastructure
6--
9DECO
State Street(R) Galaxy Digital Asset Ecosystem ETF
Digital Assets - Equity
Digital Assets - Equity
6--
10HECO
State Street(R) Galaxy Hedged Digital Asset Ecosystem ETF
Digital Assets - Equity
Digital Assets - Equity
6--

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.