Investors seeking inverse exposure to U.S. equities often compare leveraged products that deliver amplified daily moves in the opposite direction of their benchmarks. CARD, SPXS, and SRTY do not track similar indexes; instead, they represent differentiated strategic approaches to bearish positioning. CARD offers sector-specific inverse leverage on the auto industry, while SPXS and SRTY provide broad-market inverse exposure to large-cap and small-cap segments, respectively. This comparison highlights how structural design, underlying indexes, and expense structures influence their utility in varying market environments.
CARD seeks daily investment results, before fees and expenses, of -300% of the performance of the Prime Auto Industry Index. The index tracks U.S.-listed companies engaged in automobile manufacturing, parts and retail, and new and used car dealerships, weighted by liquidity. The fund holds no underlying equities and instead uses an ETN structure issued by Bank of Montreal. It maintains approximately 0.95% expense ratio. Top holdings exposure reflects the index constituents in the auto ecosystem, with sector allocation concentrated in consumer discretionary. Distinguishing features include its thematic focus and ETN format, which introduces counterparty credit considerations absent in equity ETF structures.
SPXS seeks daily investment results, before fees and expenses, of -300% of the performance of the S&P 500 Index. The benchmark comprises 500 leading large-cap U.S. companies selected by market capitalization, financial viability, and sector representation. The fund achieves its objective primarily through swap agreements and maintains an expense ratio of 1.04%. It holds no individual equities in its core portfolio beyond collateral. Sector allocation mirrors the broad S&P 500 distribution across technology, financials, healthcare, and other large-cap sectors. Key features include its open-end ETF structure and focus on broad large-cap inverse exposure.
SRTY seeks daily investment results, before fees and expenses, of -300% of the performance of the Russell 2000 Index. The benchmark includes approximately 2,000 small-cap U.S. companies selected by market capitalization. The fund utilizes swap agreements and other derivatives to deliver the target exposure and carries a 0.95% expense ratio. Holdings consist primarily of collateral and derivative positions rather than direct equity ownership. Sector allocation reflects the Russell 2000’s emphasis on industrials, financials, healthcare, and consumer sectors typical of smaller companies. Distinguishing characteristics include its small-cap focus and open-end ETF structure.
The broader environment for these inverse products centers on U.S. equity market dynamics, including macroeconomic factors such as interest rate policy, inflation trends, and corporate earnings across large- and small-cap segments. Auto-industry exposure in CARD is influenced by vehicle sales data, supply-chain developments, and regulatory shifts in emissions and electric-vehicle adoption. Large-cap benchmarks tracked by SPXS respond to technology-sector performance and overall market breadth, while small-cap indexes underlying SRTY are more sensitive to domestic economic growth, credit conditions, and valuation spreads versus large caps. Capital flows into inverse products often increase during periods of heightened volatility or anticipated market corrections.
In recent market cycles, the three ETFs have exhibited distinct volatility and drawdown patterns driven by their underlying indexes. SPXS has shown sensitivity to large-cap leadership rotations, while SRTY has experienced amplified moves reflecting small-cap volatility premiums. CARD’s sector-specific mandate has produced performance divergence tied to auto-industry fundamentals rather than broad equity trends. Relative positioning favors tactical use: broad-market inverse products like SPXS and SRTY for macro hedging, and thematic inverse exposure like CARD for targeted sector views. Compounding from daily resets creates tracking divergence over longer holding periods across all three.
Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Investors seeking data-driven insights on products like CARD, SPXS, or SRTY can leverage the platform’s analytical capabilities for informed decision-making.
Based on observable structural characteristics, Tickeron’s AI would currently assign the highest probability of favorable risk-adjusted positioning to SPXS. Its broad large-cap benchmark provides greater diversification depth than CARD’s concentrated auto-sector exposure or SRTY’s small-cap focus, while the expense ratio remains competitive within the leveraged-inverse category. Momentum stability and sensitivity to macro factors further support this probabilistic preference for broad-market inverse exposure in the current environment.
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| CARD | SPXS | SRTY | |
|---|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | N/A | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | 3 days ago 83% | 2 days ago 90% | N/A |
| MACD ODDS (%) | N/A | 2 days ago 89% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 90% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 83% | 2 days ago 90% | 2 days ago 90% |
| Advances ODDS (%) | 10 days ago 89% | 2 days ago 85% | 2 days ago 90% |
| Declines ODDS (%) | 4 days ago 90% | 4 days ago 90% | 5 days ago 90% |
| BollingerBands ODDS (%) | 2 days ago 87% | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 85% | 2 days ago 83% | 2 days ago 90% |
A.I.dvisor tells us that CARD and RIVN have been poorly correlated (+11% of the time) for the last year. This A.I.-generated data suggests there is low statistical probability that CARD and RIVN's prices will move in lockstep.
| Ticker / NAME | Correlation To CARD | 1D Price Change % | ||
|---|---|---|---|---|
| CARD | 100% | -2.55% | ||
| RIVN - CARD | 11% Poorly correlated | -0.07% | ||
| ORLY - CARD | 8% Poorly correlated | +1.65% | ||
| LCID - CARD | 4% Poorly correlated | -1.80% | ||
| TSLA - CARD | 0% Poorly correlated | -0.74% | ||
| CARG - CARD | -0% Poorly correlated | +1.63% | ||
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