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ANALYTICS
AnalysisScreenerGroups

Selection

Selected (1/4)

CARD

Seeded with the selected fund at 100%

Benchmark

Pick one fund or composite — returns and exposures render in excess of it

Peer Universe

Reference set for percentile ranks and factor bars

Inverse Funds · 221 total

ANALYTICS
AnalysisScreenerGroups

CARD

ETNInverseSingle Stock

MAX Auto Industry -3X Inverse Leveraged ETNs

Expense Ratio
0.95%
AUM
$2M
Inception
6/29/2023
1Y Return
-0.8%76th %ilevs 221 asset-class peers

The index is a net total return index that tracks the stock prices of U.S.-listed companies that have operations relating to the automobile industry, including automobile manufacturing, parts and retail, and new and used car dealers.

Time Series
–

Performance

NameCumulative ReturnAnn. ReturnAnn. VolSharpeMax DD
CARD
MAX Auto Industry -3X Inverse Leveraged ETNs
-0.8%-0.8%72.3%-0.06-43.6%
ⓘ 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
CARD
MAX Auto Industry -3X Inverse Leveraged ETNs
9.9%4.0%-2.1%31.1%17.3%-16.0%-0.8%-48.1%-49.6%-46.7%
ⓘ Methodology

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

Annual Returns

Name
202320242025YTD
CARD
MAX Auto Industry -3X Inverse Leveraged ETNs
-30.4%*-58.2%-60.2%9.9%
ⓘ 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
CARDUS
MAX Auto Industry -3X Inverse Leveraged ETNs
65.5%-4.31**-1.64**0.570.01-1.91**0.29-0.190.66226
ⓘ 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 Stock

Family
Type
ETF
Asset Class
Peer Asset Class
Inverse
Structure
Exchange-Traded Note
Underlying
Prime Auto Industry Index (3x short)
Peer Group
Inverse - Equity (188 peers)
1Y Peer Percentile
85
3Y Peer Percentile
18
Expense Ratio
0.95%
AUM
$2M
Yield
0.00%
Inception
6/29/2023
Turnover
0%
Strategy Summary

The index is a net total return index that tracks the stock prices of U.S.-listed companies that have operations relating to the automobile industry, including automobile manufacturing, parts and retail, and new and used car dealers.

ⓘ Methodology

Expense ratio from the sponsor's website. Turnover from market data (10/6/2026). Yield as of 10/6/2026, AUM 9/30/2026. Summary may be from an older prospectus.

CARD is an ETN, not a registered fund, so it files no holdings report.

Factor DetailsRef: Inverse Funds

CARD has no stock-level metrics. Fund-level metrics such as AUM and expense ratio are available in the picker.

ⓘ 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. Stock-level data as of 8/31/2026. Expense ratio, yield, and turnover as of 10/6/2026. AUM as of 9/30/2026.

Peer Group Rank

See All Peer Groups
Metric
CARD
MAX Auto Industry -3X Inverse Leveraged ETNs
Peer Group
188 funds
Peer Asset Class
221 funds
YTD Return
9.87%-23.88%95-21.64%92
1Y Return
-0.83%-23.92%85-20.01%76
3Y Return (Ann.)
-49.56%-26.68%18-26.23%17
5Y Return (Ann.)
---
Expense Ratiohigher = cheaper
0.95%1.02%631.00%58
ⓘ 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

See more rows — create a free account▾

Nearest funds across the whole universe, by holdings and behavior — the peer taxonomy is ignored, so matches can come from any category.

Top Similarity13
Top Return Corr
Top FF Match
FundPeer Group
1SCC
ProShares UltraShort Consumer Discretionary
Inverse - Equity
Inverse - Equity
13--
2SDD
ProShares UltraShort SmallCap600
Inverse - Equity
Inverse - Equity
5--
3SMDD
ProShares UltraPro Short MidCap400
Inverse - Equity
Inverse - Equity
4--
4HDGE
AdvisorShares Ranger Equity Bear ETF
Inverse - Equity
Inverse - Equity
4--
5FLYD
MicroSectors Travel -3X Inverse Leveraged ETNs
Inverse - Equity
Inverse - Equity
4--
6EMTY
ProShares Decline of the Retail Store ETF
Inverse - Equity
Inverse - Equity
4--
7DWSH
AdvisorShares Dorsey Wright Short ETF
Inverse - Equity
Inverse - Equity
4--
8SRTY
ProShares UltraPro Short Russell2000
Inverse - Equity
Inverse - Equity
4--
9JETD
MAX Airlines -3X Inverse Leveraged ETNs
Inverse - Equity
Inverse - Equity
3--
10TSLZ
T-Rex 2X Inverse Tesla Daily Target ETF
Inverse - Equity
Inverse - Equity
3--

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. Consensus Rank is the geometric mean of the match's universe-wide rank across the methods (#1.0 = top match on every one). 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.