PortfoliosLab logoPortfoliosLab logo
GSUI vs. CBOL
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

GSUI vs. CBOL - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Grayscale Sui Staking ETF (GSUI) and Calamos Laddered Bitcoin 90 Series Structured Alt Protection ETF (CBOL). The values are adjusted to include any dividend payments, if applicable.

Loading charts...

Returns By Period

In the year-to-date period, GSUI achieves a -39.93% return, which is significantly lower than CBOL's -2.03% return.


GSUI

1D
-1.09%
1M
-12.82%
YTD
-39.93%
6M
-46.50%
1Y
3Y*
5Y*
10Y*

CBOL

1D
-0.13%
1M
-0.78%
YTD
-2.03%
6M
-2.60%
1Y
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

GSUI vs. CBOL - Yearly Performance Comparison


Correlation

The correlation between GSUI and CBOL is 0.53, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.


Correlation
Correlation (All Time)
Calculated using the full available price history since Nov 25, 2025

0.53

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

GSUI vs. CBOL - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Grayscale Sui Staking ETF (GSUI) and Calamos Laddered Bitcoin 90 Series Structured Alt Protection ETF (CBOL). 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.


Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.

GSUI vs. CBOL - Sharpe Ratio Comparison


Loading charts...

Sharpe Ratios by Period


GSUICBOLDifference

Sharpe Ratio (All Time)

Calculated using the full available price history

-0.78

-1.80

+1.02

Drawdowns

GSUI vs. CBOL - Drawdown Comparison

The maximum GSUI drawdown since its inception was -60.73%, which is greater than CBOL's maximum drawdown of -4.91%. Use the drawdown chart below to compare losses from any high point for GSUI and CBOL.


Loading charts...

Drawdown Indicators


GSUICBOLDifference

Max Drawdown

Largest peak-to-trough decline

-60.73%

-4.91%

-55.82%

Current Drawdown

Current decline from peak

-60.73%

-4.64%

-56.09%

Average Drawdown

Average peak-to-trough decline

-43.81%

-3.21%

-40.60%

Volatility

GSUI vs. CBOL - Volatility Comparison


Loading charts...

Volatility by Period


GSUICBOLDifference

Volatility (1Y)

Calculated over the trailing 1-year period

107.79%

3.88%

+103.91%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

107.79%

3.88%

+103.91%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

107.79%

3.88%

+103.91%

GSUI vs. CBOL - Expense Ratio Comparison

GSUI has a 0.00% expense ratio, which is lower than CBOL's 0.79% expense ratio.


Dividends

GSUI vs. CBOL - Dividend Comparison

GSUI has not paid dividends to shareholders, while CBOL's dividend yield for the trailing twelve months is around 1.83%.


Frequently Asked Questions


GSUI and CBOL have a correlation of 0.53, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, GSUI is cheaper at 0.00% per year. The better choice depends on whether you care most about return, fees, risk, or income.

GSUI is cheaper with a 0.00% expense ratio, compared with 0.79% for CBOL.

CBOL has the higher dividend yield at 1.83%, compared with 0.00% for GSUI.

GSUI is categorized as Cryptocurrency, while CBOL is Defined Outcome. They also come from different issuers: Grayscale and Calamos. Their fees differ too: 0.00% for GSUI and 0.79% for CBOL.

Portfolio Optimizer

Find the right allocation for GSUI and CBOL

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