SSK vs. WGMI
SSK (REX-Osprey SOL + Staking ETF) and WGMI (CoinShares Bitcoin Miners ETF) are both Cryptocurrency funds. SSK is passively managed, while WGMI is actively managed. Over the past year, SSK returned -51.57% vs 126.56% for WGMI. At a 0.44 correlation, their price movements are largely independent. Both charge a 0.75% expense ratio.
Performance
SSK vs. WGMI - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, SSK achieves a -35.36% return, which is significantly lower than WGMI's 49.43% return.
SSK
- 1D
- 0.96%
- 1M
- 20.10%
- 6M
- -41.78%
- YTD
- -35.36%
- 1Y
- -51.57%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
WGMI
- 1D
- 3.73%
- 1M
- -9.42%
- 6M
- 28.51%
- YTD
- 49.43%
- 1Y
- 126.56%
- 3Y*
- 51.23%
- 5Y*
- —
- 10Y*
- —
SSK vs. WGMI - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
SSK REX-Osprey SOL + Staking ETF | -35.36% | -23.21% |
WGMI CoinShares Bitcoin Miners ETF | 49.43% | 65.74% |
Correlation
The correlation between SSK and WGMI is 0.45, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.45 |
Correlation (All Time) Calculated using the full available price history since Jul 2, 2025 | 0.44 |
Compare stocks, funds, or ETFs
Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.
Return for Risk
SSK vs. WGMI — Risk / Return Rank
SSK
WGMI
SSK vs. WGMI - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for REX-Osprey SOL + Staking ETF (SSK) and CoinShares Bitcoin Miners ETF (WGMI). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.
Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.
| SSK | WGMI | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | -2.36 | ||
| Sortino ratioReturn per unit of downside risk | -3.09 | ||
| Omega ratioGain probability vs. loss probability | 0.90 | 1.26 | -0.36 |
| Calmar ratioReturn relative to maximum drawdown | -0.70 | 2.50 | -3.20 |
| Martin ratioReturn relative to average drawdown | -1.05 | 5.00 | -6.05 |
Loading charts...
Drawdowns
SSK vs. WGMI - Drawdown Comparison
The maximum SSK drawdown since its inception was -73.56%, smaller than the maximum WGMI drawdown of -85.76%. Use the drawdown chart below to compare losses from any high point for SSK and WGMI.
Loading charts...
Drawdown Indicators
| SSK | WGMI | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -73.56% | -85.76% | +12.20% |
Max Drawdown (1Y)Largest decline over 1 year | -73.56% | -50.94% | -22.62% |
Max Drawdown (3Y)Largest decline over 3 years | — | -62.79% | — |
Current DrawdownCurrent decline from peak | -67.24% | -20.69% | -46.55% |
Average DrawdownAverage peak-to-trough decline | -41.45% | -42.18% | +0.73% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 48.98% | 25.41% | +23.57% |
Volatility
SSK vs. WGMI - Volatility Comparison
REX-Osprey SOL + Staking ETF (SSK) and CoinShares Bitcoin Miners ETF (WGMI) have volatilities of 22.60% and 22.51%, respectively, indicating that both stocks experience similar levels of price fluctuations. This suggests that the risk associated with both stocks, as measured by volatility, is nearly the same. The chart below showcases a comparison of their rolling one-month volatility.
Loading charts...
Volatility by Period
| SSK | WGMI | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 22.60% | 22.51% | +0.09% |
Volatility (6M)Calculated over the trailing 6-month period | 53.23% | 55.81% | -2.58% |
Volatility (1Y)Calculated over the trailing 1-year period | 72.42% | 77.25% | -4.83% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 71.90% | 81.55% | -9.65% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 71.90% | 81.55% | -9.65% |
SSK vs. WGMI - Expense Ratio Comparison
Both SSK and WGMI have an expense ratio of 0.75%.
Dividends
SSK vs. WGMI - Dividend Comparison
SSK's dividend yield for the trailing twelve months is around 31.51%, while WGMI has not paid dividends to shareholders.
| Position | TTM | 2025 | 2024 | 2023 |
|---|---|---|---|---|
SSK REX-Osprey SOL + Staking ETF | 31.51% | 3.63% | 0.00% | 0.00% |
WGMI CoinShares Bitcoin Miners ETF | 0.00% | 0.00% | 0.22% | 0.31% |
Frequently Asked Questions
SSK and WGMI have a correlation of 0.45, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
SSK has higher volatility (22.60%) compared to WGMI (22.51%). In terms of maximum drawdown, SSK dropped -73.56% vs WGMI's -85.76%.
On 1-year performance, WGMI leads with 126.56% vs -51.57% for SSK. Both ETFs have the same 0.75% expense ratio. Their volatility is very similar. The better choice depends on whether you care most about return, fees, risk, or income.
Over the 1-year period, WGMI has performed better with a 126.56% return vs -51.57%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.
SSK and WGMI have the same expense ratio: 0.75% per year.
SSK has the higher dividend yield at 31.51%, compared with 0.00% for WGMI.
They also come from different issuers: REX-Osprey and CoinShares.
WGMI currently has the higher Sharpe Ratio (1.65 vs -0.71), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.
Find the right allocation for SSK and WGMI
Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.
Open Portfolio Optimizer