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SKYU vs. MULL
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

SKYU vs. MULL - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in ProShares Ultra Nasdaq Cloud Computing ETF (SKYU) and GraniteShares 2x Long MU Daily ETF (MULL). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, SKYU achieves a 20.72% return, which is significantly lower than MULL's 774.91% return.


SKYU

1D
0.53%
1M
27.03%
YTD
20.72%
6M
18.01%
1Y
41.23%
3Y*
38.09%
5Y*
2.14%
10Y*

MULL

1D
-15.62%
1M
119.20%
YTD
774.91%
6M
1,229.17%
1Y
5,016.23%
3Y*
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

SKYU vs. MULL - Yearly Performance Comparison


2026 (YTD)20252024
SKYU
ProShares Ultra Nasdaq Cloud Computing ETF
20.72%2.76%-1.94%
MULL
GraniteShares 2x Long MU Daily ETF
774.91%558.51%-40.10%

Correlation

The correlation between SKYU and MULL is 0.31, which is low. Their price movements are largely independent, making them effective diversification partners.


Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

0.31

Correlation (All Time)
Calculated using the full available price history since Nov 13, 2024

0.43

The correlation between SKYU and MULL shifts across timeframes, from 0.31 (1 year) to 0.43 (all time), reflecting how their relationship changes across market environments.

SKYU vs. MULL - Sectors Allocation Comparison


Sectors
SKYU
MULL

Technology

51.5%
66.7%

Communication Services

4.7%

-

Industrials

2.5%

-

Consumer Cyclical

2.4%

-

Healthcare

0.3%

-

Basic Materials

-

-

Consumer Defensive

-

-

Energy

-

-

Financial Services

-

-

Real Estate

-

-

Utilities

-

-

Technology

SKYU
51.5%
MULL
66.7%

Communication Services

SKYU
4.7%
MULL

-

Industrials

SKYU
2.5%
MULL

-

Consumer Cyclical

SKYU
2.4%
MULL

-

Healthcare

SKYU
0.3%
MULL

-

Basic Materials

SKYU

-

MULL

-

Consumer Defensive

SKYU

-

MULL

-

Energy

SKYU

-

MULL

-

Financial Services

SKYU

-

MULL

-

Real Estate

SKYU

-

MULL

-

Utilities

SKYU

-

MULL

-

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Return for Risk

SKYU vs. MULL — Risk / Return Rank

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

SKYU
SKYU Risk / Return Rank: 2222
Overall Rank
SKYU Sharpe Ratio Rank: 2222
Sharpe Ratio Rank
SKYU Sortino Ratio Rank: 2525
Sortino Ratio Rank
SKYU Omega Ratio Rank: 2525
Omega Ratio Rank
SKYU Calmar Ratio Rank: 2020
Calmar Ratio Rank
SKYU Martin Ratio Rank: 1818
Martin Ratio Rank

MULL
MULL Risk / Return Rank: 9999
Overall Rank
MULL Sharpe Ratio Rank: 100100
Sharpe Ratio Rank
MULL Sortino Ratio Rank: 9797
Sortino Ratio Rank
MULL Omega Ratio Rank: 9696
Omega Ratio Rank
MULL Calmar Ratio Rank: 100100
Calmar Ratio Rank
MULL Martin Ratio Rank: 100100
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.

SKYU vs. MULL - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for ProShares Ultra Nasdaq Cloud Computing ETF (SKYU) and GraniteShares 2x Long MU Daily ETF (MULL). 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.


SKYUMULLDifference
Sharpe ratioReturn per unit of total volatility

-37.47

Sortino ratioReturn per unit of downside risk

-5.27

Omega ratioGain probability vs. loss probability

1.16

1.83

-0.67

Calmar ratioReturn relative to maximum drawdown

0.82

96.00

-95.18

Martin ratioReturn relative to average drawdown

1.73

321.55

-319.82

SKYU vs. MULL - Sharpe Ratio Comparison

The current SKYU Sharpe Ratio is 0.74, which is lower than the MULL Sharpe Ratio of 38.21. The chart below compares the historical Sharpe Ratios of SKYU and MULL, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


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Sharpe Ratios by Period


SKYUMULLDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

0.74

38.21

-37.47

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.03

Sharpe Ratio (All Time)

Calculated using the full available price history

0.03

6.53

-6.50

Drawdowns

SKYU vs. MULL - Drawdown Comparison

The maximum SKYU drawdown since its inception was -83.01%, which is greater than MULL's maximum drawdown of -72.29%. Use the drawdown chart below to compare losses from any high point for SKYU and MULL.


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Drawdown Indicators


SKYUMULLDifference

Max Drawdown

Largest peak-to-trough decline

-83.01%

-72.29%

-10.72%

Max Drawdown (1Y)

Largest decline over 1 year

-50.23%

-53.09%

+2.86%

Max Drawdown (3Y)

Largest decline over 3 years

-55.71%

Max Drawdown (5Y)

Largest decline over 5 years

-83.01%

Current Drawdown

Current decline from peak

-22.26%

-15.62%

-6.64%

Average Drawdown

Average peak-to-trough decline

-49.16%

-20.61%

-28.55%

Ulcer Index

Depth and duration of drawdowns from previous peaks

23.88%

15.82%

+8.06%

Volatility

SKYU vs. MULL - Volatility Comparison

The current volatility for ProShares Ultra Nasdaq Cloud Computing ETF (SKYU) is 22.68%, while GraniteShares 2x Long MU Daily ETF (MULL) has a volatility of 57.59%. This indicates that SKYU experiences smaller price fluctuations and is considered to be less risky than MULL based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


SKYUMULLDifference

Volatility (1M)

Calculated over the trailing 1-month period

22.68%

57.59%

-34.91%

Volatility (6M)

Calculated over the trailing 6-month period

46.60%

107.25%

-60.65%

Volatility (1Y)

Calculated over the trailing 1-year period

55.92%

133.41%

-77.49%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

61.88%

136.72%

-74.84%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

61.12%

136.72%

-75.60%

SKYU vs. MULL - Expense Ratio Comparison

SKYU has a 0.95% expense ratio, which is lower than MULL's 1.50% expense ratio.


Dividends

SKYU vs. MULL - Dividend Comparison

SKYU's dividend yield for the trailing twelve months is around 0.58%, more than MULL's 0.04% yield.


PositionTTM20252024
MULL
GraniteShares 2x Long MU Daily ETF
0.04%0.39%0.00%
SKYU
ProShares Ultra Nasdaq Cloud Computing ETF
0.58%0.56%0.21%

Frequently Asked Questions


SKYU and MULL have a correlation of 0.31, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

MULL has higher volatility (57.59%) compared to SKYU (22.68%). In terms of maximum drawdown, SKYU dropped -83.01% vs MULL's -72.29%.

On 1-year performance, MULL leads with 5016.23% vs 41.23% for SKYU. On fees, SKYU is cheaper at 0.95% per year. On volatility, SKYU has been the lower-risk option at 22.68%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 1-year period, MULL has performed better with a 5016.23% return vs 41.23%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

SKYU is cheaper with a 0.95% expense ratio, compared with 1.50% for MULL.

SKYU has the higher dividend yield at 0.58%, compared with 0.04% for MULL.

They also come from different issuers: ProShares and GraniteShares. Their fees differ too: 0.95% for SKYU and 1.50% for MULL.

MULL currently has the higher Sharpe Ratio (38.21 vs 0.74), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.

Portfolio Optimizer

Find the right allocation for SKYU and MULL

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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