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MSFW vs. QYLD
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

MSFW vs. QYLD - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Roundhill MSFT WeeklyPay™ ETF (MSFW) and Global X NASDAQ 100 Covered Call ETF (QYLD). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, MSFW achieves a -14.73% return, which is significantly lower than QYLD's 7.88% return.


MSFW

1D
-3.61%
1M
4.05%
YTD
-14.73%
6M
-13.76%
1Y
3Y*
5Y*
10Y*

QYLD

1D
-0.06%
1M
1.62%
YTD
7.88%
6M
9.97%
1Y
23.93%
3Y*
13.80%
5Y*
8.43%
10Y*
9.80%
*Multi-year figures are annualized to reflect compound growth (CAGR)

MSFW vs. QYLD - Yearly Performance Comparison


2026 (YTD)2025
MSFW
Roundhill MSFT WeeklyPay™ ETF
-14.73%-7.81%
QYLD
Global X NASDAQ 100 Covered Call ETF
7.88%11.19%

Correlation

The correlation between MSFW and QYLD is 0.42, 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 Jul 25, 2025

0.42

MSFW vs. QYLD - Sectors Allocation Comparison


Sectors
MSFW
QYLD

Technology

31.6%
53.8%

Basic Materials

-

1.1%

Communication Services

-

15.8%

Consumer Cyclical

-

12.3%

Consumer Defensive

-

7.7%

Energy

-

0.6%

Financial Services

-

0.2%

Healthcare

-

4.2%

Industrials

-

2.8%

Real Estate

-

0.1%

Utilities

-

1.4%

Technology

MSFW
31.6%
QYLD
53.8%

Basic Materials

MSFW

-

QYLD
1.1%

Communication Services

MSFW

-

QYLD
15.8%

Consumer Cyclical

MSFW

-

QYLD
12.3%

Consumer Defensive

MSFW

-

QYLD
7.7%

Energy

MSFW

-

QYLD
0.6%

Financial Services

MSFW

-

QYLD
0.2%

Healthcare

MSFW

-

QYLD
4.2%

Industrials

MSFW

-

QYLD
2.8%

Real Estate

MSFW

-

QYLD
0.1%

Utilities

MSFW

-

QYLD
1.4%

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Return for Risk

MSFW vs. QYLD — Risk / Return Rank

Compare risk-adjusted metric ranks to identify better-performing investments over the past 12 months.

MSFW

QYLD
QYLD Risk / Return Rank: 8888
Overall Rank
QYLD Sharpe Ratio Rank: 8484
Sharpe Ratio Rank
QYLD Sortino Ratio Rank: 8585
Sortino Ratio Rank
QYLD Omega Ratio Rank: 9292
Omega Ratio Rank
QYLD Calmar Ratio Rank: 8686
Calmar Ratio Rank
QYLD Martin Ratio Rank: 9494
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

MSFW vs. QYLD - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Roundhill MSFT WeeklyPay™ ETF (MSFW) and Global X NASDAQ 100 Covered Call ETF (QYLD). 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.

MSFW vs. QYLD - Sharpe Ratio Comparison


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Sharpe Ratios by Period


MSFWQYLDDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

2.80

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.58

Sharpe Ratio (10Y)

Calculated over the trailing 10-year period

0.63

Sharpe Ratio (All Time)

Calculated using the full available price history

-0.76

0.59

-1.35

Drawdowns

MSFW vs. QYLD - Drawdown Comparison

The maximum MSFW drawdown since its inception was -40.42%, which is greater than QYLD's maximum drawdown of -24.75%. Use the drawdown chart below to compare losses from any high point for MSFW and QYLD.


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Drawdown Indicators


MSFWQYLDDifference

Max Drawdown

Largest peak-to-trough decline

-40.42%

-24.75%

-15.67%

Max Drawdown (1Y)

Largest decline over 1 year

-4.97%

Max Drawdown (3Y)

Largest decline over 3 years

-19.06%

Max Drawdown (5Y)

Largest decline over 5 years

-24.61%

Max Drawdown (10Y)

Largest decline over 10 years

-24.75%

Current Drawdown

Current decline from peak

-26.27%

-0.06%

-26.21%

Average Drawdown

Average peak-to-trough decline

-17.45%

-3.84%

-13.61%

Ulcer Index

Depth and duration of drawdowns from previous peaks

0.85%

Volatility

MSFW vs. QYLD - Volatility Comparison


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Volatility by Period


MSFWQYLDDifference

Volatility (1M)

Calculated over the trailing 1-month period

1.85%

Volatility (6M)

Calculated over the trailing 6-month period

7.12%

Volatility (1Y)

Calculated over the trailing 1-year period

32.40%

8.58%

+23.82%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

32.40%

14.70%

+17.70%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

32.40%

15.49%

+16.91%

MSFW vs. QYLD - Expense Ratio Comparison

MSFW has a 0.99% expense ratio, which is higher than QYLD's 0.60% expense ratio.


Dividends

MSFW vs. QYLD - Dividend Comparison

MSFW's dividend yield for the trailing twelve months is around 39.31%, more than QYLD's 11.46% yield.


PositionTTM20252024202320222021202020192018201720162015
MSFW
Roundhill MSFT WeeklyPay™ ETF
39.31%20.25%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
QYLD
Global X NASDAQ 100 Covered Call ETF
11.46%11.55%12.50%11.78%13.75%12.85%11.16%9.84%12.44%7.69%9.15%9.42%

Frequently Asked Questions


MSFW and QYLD have a correlation of 0.42, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, QYLD is cheaper at 0.60% per year. The better choice depends on whether you care most about return, fees, risk, or income.

QYLD is cheaper with a 0.60% expense ratio, compared with 0.99% for MSFW.

MSFW has the higher dividend yield at 39.31%, compared with 11.46% for QYLD.

MSFW is categorized as Derivative Income, while QYLD is Nasdaq-100. They also come from different issuers: Roundhill and Global X. Their fees differ too: 0.99% for MSFW and 0.60% for QYLD.

Portfolio Optimizer

Find the right allocation for MSFW and QYLD

Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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