Calamos Russell 2000 Structured Alt Protection ETF – January (CPRY) ETF Holdings & Analysis
ETFOther
What CPRY does
These Calamos Structured Protection ETFs are designed to capture the positive price performance of the Russell 2000 index, up to a pre-defined maximum return. Concurrently, they offer full downside protection against any losses over a one-year investment horizon, before factoring in fees and expenses.
Fund profile
Top holdings
| Holding | Weight | |
|---|---|---|
| iShares Russell 2000 ETF (IWM) Long Call Option | 88.80% | |
| iShares Russell 2000 ETF (IWM) Short Call Option | 10.01% | |
| iShares Russell 2000 ETF (IWM) Long Put Option | 0.76% | |
| US DOLLAR | 0.34% | |
| NET OTHER ASSETS | 0.10% |
Sector allocation
| Cash & Others | 100.00% |
Geographic allocation
| Other | 100.00% |
PortView Portfolio Insights
PortView analyzes how CPRY fits your actual portfolio — position weight, ETF overlap with your other funds, sector and geographic exposure, concentration, and how this fund contributes to your portfolio risk and return. Connect a portfolio to see your personalized figures; PortView never shows another user's private holdings.
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Frequently asked questions
- What does CPRY track?
- CPRY is the Calamos Russell 2000 Structured Alt Protection ETF – January, a Other ETF.
- What is the expense ratio of CPRY?
- Expense ratio data for CPRY is shown on the page when available from our data provider.
- What are the largest holdings in CPRY?
- Top holdings include iShares Russell 2000 ETF (IWM) Long Call Option, iShares Russell 2000 ETF (IWM) Short Call Option, iShares Russell 2000 ETF (IWM) Long Put Option, US DOLLAR, NET OTHER ASSETS.
- How can PortView analyze CPRY overlap with other ETFs?
- PortView computes the holdings overlap between CPRY and the other ETFs and stocks you own, plus your combined sector and geographic exposure, so you can see true diversification.
The information provided by PortView is for informational and educational purposes only and does not constitute investment advice. Market data may be delayed. Past performance does not guarantee future results.