PortfoliosLab logoPortfoliosLab logo
QSOL vs. MSBT
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

QSOL vs. MSBT - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Invesco Galaxy Solana ETF (QSOL) and Morgan Stanley Bitcoin Trust (MSBT). The values are adjusted to include any dividend payments, if applicable.

Loading charts...

Returns By Period


QSOL

1D
-4.67%
1M
-14.50%
YTD
-41.51%
6M
1Y
3Y*
5Y*
10Y*

MSBT

1D
-2.70%
1M
-18.41%
YTD
6M
1Y
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

QSOL vs. MSBT - Yearly Performance Comparison


Correlation

The correlation between QSOL and MSBT is 0.78, 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 Apr 9, 2026

0.78

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

QSOL vs. MSBT - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Invesco Galaxy Solana ETF (QSOL) and Morgan Stanley Bitcoin Trust (MSBT). 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.

QSOL vs. MSBT - Sharpe Ratio Comparison


Loading charts...

Sharpe Ratios by Period


QSOLMSBTDifference

Sharpe Ratio (All Time)

Calculated using the full available price history

-0.99

-1.33

+0.34

Drawdowns

QSOL vs. MSBT - Drawdown Comparison

The maximum QSOL drawdown since its inception was -50.82%, which is greater than MSBT's maximum drawdown of -20.25%. Use the drawdown chart below to compare losses from any high point for QSOL and MSBT.


Loading charts...

Drawdown Indicators


QSOLMSBTDifference

Max Drawdown

Largest peak-to-trough decline

-50.82%

-20.25%

-30.57%

Current Drawdown

Current decline from peak

-50.82%

-20.25%

-30.57%

Average Drawdown

Average peak-to-trough decline

-31.98%

-3.91%

-28.07%

Volatility

QSOL vs. MSBT - Volatility Comparison


Loading charts...

Volatility by Period


QSOLMSBTDifference

Volatility (1Y)

Calculated over the trailing 1-year period

70.59%

32.92%

+37.67%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

70.59%

32.92%

+37.67%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

70.59%

32.92%

+37.67%

QSOL vs. MSBT - Expense Ratio Comparison

QSOL has a 0.25% expense ratio, which is higher than MSBT's 0.14% expense ratio. However, both funds are considered low-cost compared to the broader market, where average expense ratios usually range from 0.3% to 0.9%.


Dividends

QSOL vs. MSBT - Dividend Comparison

QSOL's dividend yield for the trailing twelve months is around 0.20%, while MSBT has not paid dividends to shareholders.


Frequently Asked Questions


QSOL and MSBT have a correlation of 0.78, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, MSBT is cheaper at 0.14% per year. The better choice depends on whether you care most about return, fees, risk, or income.

MSBT is cheaper with a 0.14% expense ratio, compared with 0.25% for QSOL.

QSOL has the higher dividend yield at 0.20%, compared with 0.00% for MSBT.

QSOL tracks Lukka Prime Solana Reference Rate - Benchmark Price Return, while MSBT tracks CoinDesk Bitcoin Benchmark 4PM NY Settlement Rate. They also come from different issuers: Invesco and Morgan Stanley. Their fees differ too: 0.25% for QSOL and 0.14% for MSBT.

Portfolio Optimizer

Find the right allocation for QSOL and MSBT

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