PortfoliosLab logoPortfoliosLab logo
QBSF vs. MSOO
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

QBSF vs. MSOO - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in AllianzIM U.S. Equity Buffer15 ETF (QBSF) and Leverage Shares 2x Capped Accelerated MSTR Monthly ETF (MSOO). The values are adjusted to include any dividend payments, if applicable.

Loading charts...

Returns By Period

In the year-to-date period, QBSF achieves a 2.42% return, which is significantly higher than MSOO's -22.23% return.


QBSF

1D
0.13%
1M
0.58%
YTD
2.42%
6M
3.38%
1Y
3Y*
5Y*
10Y*

MSOO

1D
2.07%
1M
-28.01%
YTD
-22.23%
6M
-36.26%
1Y
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

QBSF vs. MSOO - Yearly Performance Comparison


Correlation

The correlation between QBSF and MSOO is 0.36, which is low. Their price movements are largely independent, making them effective diversification partners.


Correlation
Correlation (All Time)
Calculated using the full available price history since Aug 14, 2025

0.36

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

QBSF vs. MSOO - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for AllianzIM U.S. Equity Buffer15 ETF (QBSF) and Leverage Shares 2x Capped Accelerated MSTR Monthly ETF (MSOO). 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.

QBSF vs. MSOO - Sharpe Ratio Comparison


Loading charts...

Sharpe Ratios by Period


QBSFMSOODifference

Sharpe Ratio (All Time)

Calculated using the full available price history

2.89

-1.12

+4.01

Drawdowns

QBSF vs. MSOO - Drawdown Comparison

The maximum QBSF drawdown since its inception was -1.58%, smaller than the maximum MSOO drawdown of -72.39%. Use the drawdown chart below to compare losses from any high point for QBSF and MSOO.


Loading charts...

Drawdown Indicators


QBSFMSOODifference

Max Drawdown

Largest peak-to-trough decline

-1.58%

-72.39%

+70.81%

Current Drawdown

Current decline from peak

-0.07%

-69.50%

+69.43%

Average Drawdown

Average peak-to-trough decline

-0.22%

-47.52%

+47.30%

Volatility

QBSF vs. MSOO - Volatility Comparison


Loading charts...

Volatility by Period


QBSFMSOODifference

Volatility (1Y)

Calculated over the trailing 1-year period

2.74%

69.14%

-66.40%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

2.74%

69.14%

-66.40%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

2.74%

69.14%

-66.40%

QBSF vs. MSOO - Expense Ratio Comparison

QBSF has a 0.64% expense ratio, which is lower than MSOO's 0.78% expense ratio.


Dividends

QBSF vs. MSOO - Dividend Comparison

QBSF has not paid dividends to shareholders, while MSOO's dividend yield for the trailing twelve months is around 2.09%.


Frequently Asked Questions


QBSF and MSOO have a correlation of 0.36, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, QBSF is cheaper at 0.64% per year. The better choice depends on whether you care most about return, fees, risk, or income.

QBSF is cheaper with a 0.64% expense ratio, compared with 0.78% for MSOO.

MSOO has the higher dividend yield at 2.09%, compared with 0.00% for QBSF.

They also come from different issuers: AllianzIM and Leverage Shares. Their fees differ too: 0.64% for QBSF and 0.78% for MSOO.

Portfolio Optimizer

Find the right allocation for QBSF and MSOO

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