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ANALYTICS
AnalysisScreenerGroups

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SHRT

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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

SHRT

InverseSingle StockMaterial Change

Gotham Short Strategies ETF

Expense Ratio
1.35%
AUM
$13M
Inception
11/7/2023
1Y Return
-9.6%69th %ilevs 221 asset-class peers
·

The fund invests in long and short positions of equity and equity-related securities, primarily of companies traded on U.S. markets, maintaining approximately 50% net short exposure. It employs a systematic, bottom-up valuation approach to identify undervalued long positions and overvalued short positions, focusing on fundamentals such as earnings and cash flows. The portfolio generally consists of several hundred positions, with daily rebalancing to manage risk and maintain exposure levels, resulting in a high portfolio turnover rate.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
SHRT
Gotham Short Strategies ETF
-9.6%-9.6%14.5%-0.92-19.6%
ⓘ 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
SHRT
Gotham Short Strategies ETF
-11.6%0.1%-1.6%1.8%5.0%-8.3%-9.6%-9.7%-6.9%
ⓘ Methodology

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

Annual Returns

Name
202320242025YTD
SHRT
Gotham Short Strategies ETF
-5.8%*-1.4%-0.9%-11.6%
ⓘ 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
SHRTUS
Gotham Short Strategies ETF
-6.3%-0.29**-0.37**-0.030.020.00-0.28**0.100.41226
ⓘ 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 ProfileInverseSingle StockMaterial Change

Fund Documents(opens the fund company’s site in a new tab)
Family
Registrant
Type
ETF
Asset Class
Peer Asset Class
Inverse
Region
Equity Size & Style
Prospectus Benchmark
S And P500 Total Return Index
Peer Group
Inverse - Equity (188 peers)
1Y Peer Percentile
77
Expense Ratio
1.35%
5Y Tax Drag
0.16%/yr
AUM
$13M
3Y Flow
-6.6%
Yield
0.08%
Inception
11/7/2023
Holdings (Reported)
692
Turnover
685%
Equity
87%
Derivatives
0%
Net Equity Exposure
-52%
Strategy Summary

The fund invests in long and short positions of equity and equity-related securities, primarily of companies traded on U.S. markets, maintaining approximately 50% net short exposure. It employs a systematic, bottom-up valuation approach to identify undervalued long positions and overvalued short positions, focusing on fundamentals such as earnings and cash flows. The portfolio generally consists of several hundred positions, with daily rebalancing to manage risk and maintain exposure levels, resulting in a high portfolio turnover rate.

ⓘ Methodology

Expense ratio and its components from the fund's prospectus fee table; tax drag from its after-tax return table. Turnover from the SEC annual report (12/8/2025). 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
16%
7%
6%
18%
14%
14%
11%
8%
6%
Large
ValueCoreGrowth
Size
Large
29%
Mid
47%
Small
25%
Style
Value
45%
Core
29%
Growth
27%
ⓘ 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 6/30/2026. Stock-level data as of 8/31/2026.

Composite FactorsRef: Inverse Funds

Intangible Value54.5
Traditional Value67.1
Small-Cap66.6
Quality28.6
Momentum65.2
ⓘ 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 Inverse 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: Inverse Funds

Valuation
Book-to-Price (NTM)37.6
Sales-to-Price (NTM)56.2
Earnings-to-Price (NTM)6.3
Innovation/IP
R&D / Mkt Cap2.1
Patents / Mkt Cap0.94
Brand
Sales & Marketing / Mkt Cap3.2
Trademarks / Mkt Cap0.18
Human Capital
PhD Employees / Mkt Cap7.8
Top University Alumni / Mkt Cap16.4
Politics
Lobbying Spend / Mkt Cap35.2
AI
AI Employees / Mkt Cap1.7
ⓘ 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 (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.

Country Exposure

Level

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

82.9%
82.9%
17.1%
14.7%
2.2%
Other0.2%
ⓘ 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
26.2%
20.5%
15.0%
11.4%
10.2%
9.7%
3.6%
3.3%
0.1%
0.1%
ⓘ 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

Infrastructure11.0%
Early Adopter19.2%
Laggard69.8%

Magnificent 7

Magnificent 70.2%
Non-Magnificent 799.8%

Old vs New Economy

Old Economy68.8%
New Economy31.2%

Globalization

Multinational45.1%
Exporter6.5%
Importer15.1%
Domestic33.3%

China Exposure

China/HK Domiciled0.0%
Revenue & Operations7.8%
Operations Only9.8%
Revenue Only6.5%
No Material Exposure75.9%

Company Size

Mega (>$500B)0.3%
Large ($70–500B)18.5%
Mid ($10–70B)59.9%
Small ($1–10B)21.3%
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 87% 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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692 positions (top 10 shown, create for full holdings)

#NameTickerWeight %SectorIndustryCountry
1First American Government Obli-
13.74
--USA
2--
7.19
--USA
3DuPont de NemoursDD
1.88
MaterialsChemicals & PackagingUSA
4Regeneron PharmaceuticalsREGN
1.87
HealthcareBiotech & Life SciUSA
5Expand EnergyEXE
1.86
EnergyUpstream Oil & GasUSA
6CNX ResourcesCNX
1.82
EnergyUpstream Oil & GasUSA
7General DynamicsGD
1.78
IndustrialsAerospace & DefenseUSA
8NewmontNEM
1.73
MaterialsPrecious MetalsUSA
9Hewlett Packard EnterpriseHPE
1.72
TechnologyTechnology HardwareUSA
10IamgoldIMG
1.70
MaterialsPrecious MetalsCAN
ⓘ 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 6/30/2026. Stock-level data as of 8/31/2026.

ConcentrationRef: Inverse Funds

Total Holdings692
Effective Holdings40.5
Top 10 Weight35.3%
Max Position13.7%
Top Sector (of Net Assets)28%
Top Country (of Net Assets)98%
ⓘ 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.

Benchmark DifferentiationRef: Inverse Funds

vs SPYBroad Benchmark
Active Share94.9%
Tracking Error26.5%
Benchmark Correlation-0.47
vs IWSStyle Benchmark
Active Share90.3%
Tracking Error25.8%
Benchmark Correlation-0.45
ⓘ 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
SHRT
Gotham Short Strategies ETF
Peer Group
188 funds
Peer Asset Class
221 funds
YTD Return
-11.62%-23.88%69-21.64%64
1Y Return
-9.58%-23.92%77-20.01%69
3Y Return (Ann.)
---
5Y Return (Ann.)
---
Expense Ratiohigher = cheaper
1.35%1.02%321.00%30
ⓘ 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 Similarity36
Top Overlap
Top Active Tilt
Top Factor Match
Top Return Corr
Top FF Match
FundPeer Group
1GONIX
Gotham Neutral Fund
US Mid Value
US Mid Value
36-----
2GARIX
Gotham Absolute Return Fund
Alts - Long/Short Equity
Alts - Long/Short Equity
24-----
3GENIX
Gotham Enhanced Return Fund
US Large Core
US Large Core
16-----
4HSGFX
HUSSMAN STRATEGIC MARKET CYCLE FUND
Allocation - Moderate
Allocation - Moderate
10-----
5YQQQ
YieldMax(R) Short N100 Option Income Strategy ETF
Options - Income
Options - Income
10-----
6QSPIX
AQR Style Premia Alternative Fund
Alts - Alternative Risk Premia
Alts - Alternative Risk Premia
10-----
7DRAI
Draco Evolution AI ETF
Fixed Income - Core
Fixed Income - Core
10-----
8SMNAX
Steward Equity Market Neutral Fund
Alts - Market Neutral
Alts - Market Neutral
10-----
9GVLU
Gotham 1000 Value ETF
US Mid Value
US Mid Value
10-----
10LBAY
Leatherback Long/short Alternative Yield ETF
Alts - Long/Short Equity
Alts - Long/Short Equity
10-----

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.