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GOOW vs. MLPX
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

GOOW vs. MLPX - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Roundhill GOOGL WeeklyPay™ ETF (GOOW) and Global X MLP & Energy Infrastructure ETF (MLPX). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, GOOW achieves a 10.30% return, which is significantly lower than MLPX's 25.35% return.


GOOW

1D
-0.99%
1M
-11.92%
YTD
10.30%
6M
9.45%
1Y
3Y*
5Y*
10Y*

MLPX

1D
1.68%
1M
-3.98%
YTD
25.35%
6M
25.51%
1Y
27.11%
3Y*
29.56%
5Y*
21.27%
10Y*
12.45%
*Multi-year figures are annualized to reflect compound growth (CAGR)

GOOW vs. MLPX - Yearly Performance Comparison


Correlation

The correlation between GOOW and MLPX is -0.13, meaning they tend to move in opposite directions. This is especially valuable for risk management - when one declines, the other has historically tended to hold steady or rise.


Correlation
Correlation (All Time)
Calculated using the full available price history since Jul 24, 2025

-0.13

GOOW vs. MLPX - Sectors Allocation Comparison


Sectors
GOOW
MLPX

Communication Services

100.0%

-

Basic Materials

-

-

Consumer Cyclical

-

-

Consumer Defensive

-

-

Energy

-

99.5%

Financial Services

-

-

Healthcare

-

-

Industrials

-

-

Real Estate

-

-

Technology

-

-

Utilities

-

0.3%

Communication Services

GOOW
100.0%
MLPX

-

Basic Materials

GOOW

-

MLPX

-

Consumer Cyclical

GOOW

-

MLPX

-

Consumer Defensive

GOOW

-

MLPX

-

Energy

GOOW

-

MLPX
99.5%

Financial Services

GOOW

-

MLPX

-

Healthcare

GOOW

-

MLPX

-

Industrials

GOOW

-

MLPX

-

Real Estate

GOOW

-

MLPX

-

Technology

GOOW

-

MLPX

-

Utilities

GOOW

-

MLPX
0.3%

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Return for Risk

GOOW vs. MLPX — Risk / Return Rank

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

GOOW

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


MLPX
MLPX Risk / Return Rank: 5555
Overall Rank
MLPX Sharpe Ratio Rank: 5454
Sharpe Ratio Rank
MLPX Sortino Ratio Rank: 5353
Sortino Ratio Rank
MLPX Omega Ratio Rank: 4949
Omega Ratio Rank
MLPX Calmar Ratio Rank: 6969
Calmar Ratio Rank
MLPX Martin Ratio Rank: 4949
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.

GOOW vs. MLPX - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Roundhill GOOGL WeeklyPay™ ETF (GOOW) and Global X MLP & Energy Infrastructure ETF (MLPX). 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.


GOOWMLPXDifference
Sharpe ratioReturn per unit of total volatility

Sortino ratioReturn per unit of downside risk

Omega ratioGain probability vs. loss probability

1.30

Calmar ratioReturn relative to maximum drawdown

3.33

Martin ratioReturn relative to average drawdown

8.00

GOOW vs. MLPX - Sharpe Ratio Comparison


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Drawdowns

GOOW vs. MLPX - Drawdown Comparison

The maximum GOOW drawdown since its inception was -24.88%, smaller than the maximum MLPX drawdown of -70.67%. Use the drawdown chart below to compare losses from any high point for GOOW and MLPX.


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Drawdown Indicators


GOOWMLPXDifference

Max Drawdown

Largest peak-to-trough decline

-24.88%

-70.67%

+45.79%

Max Drawdown (1Y)

Largest decline over 1 year

-8.18%

Max Drawdown (3Y)

Largest decline over 3 years

-16.77%

Max Drawdown (5Y)

Largest decline over 5 years

-19.72%

Max Drawdown (10Y)

Largest decline over 10 years

-64.70%

Current Drawdown

Current decline from peak

-17.05%

-4.34%

-12.71%

Average Drawdown

Average peak-to-trough decline

-5.22%

-16.58%

+11.36%

Ulcer Index

Depth and duration of drawdowns from previous peaks

3.40%

Volatility

GOOW vs. MLPX - Volatility Comparison


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Volatility by Period


GOOWMLPXDifference

Volatility (1M)

Calculated over the trailing 1-month period

5.80%

Volatility (6M)

Calculated over the trailing 6-month period

11.78%

Volatility (1Y)

Calculated over the trailing 1-year period

37.85%

15.43%

+22.42%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

37.85%

19.99%

+17.86%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

37.85%

26.47%

+11.38%

GOOW vs. MLPX - Expense Ratio Comparison

GOOW has a 0.99% expense ratio, which is higher than MLPX's 0.45% expense ratio.


Dividends

GOOW vs. MLPX - Dividend Comparison

GOOW's dividend yield for the trailing twelve months is around 39.42%, more than MLPX's 4.09% yield.


PositionTTM20252024202320222021202020192018201720162015
GOOW
Roundhill GOOGL WeeklyPay™ ETF
39.42%19.77%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
MLPX
Global X MLP & Energy Infrastructure ETF
4.09%4.88%4.30%5.22%5.23%5.98%8.32%5.78%5.77%4.36%5.50%4.81%

Frequently Asked Questions


GOOW and MLPX have a correlation of -0.13, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, MLPX is cheaper at 0.45% per year. The better choice depends on whether you care most about return, fees, risk, or income.

MLPX is cheaper with a 0.45% expense ratio, compared with 0.99% for GOOW.

GOOW has the higher dividend yield at 39.42%, compared with 4.09% for MLPX.

GOOW is categorized as Derivative Income, while MLPX is MLPs. They also come from different issuers: Roundhill and Global X. Their fees differ too: 0.99% for GOOW and 0.45% for MLPX.

Portfolio Optimizer

Find the right allocation for GOOW and MLPX

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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