PortfoliosLab logoPortfoliosLab logo
SKYU vs. USO
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

SKYU vs. USO - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in ProShares Ultra Nasdaq Cloud Computing ETF (SKYU) and United States Oil Fund LP (USO). The values are adjusted to include any dividend payments, if applicable.

Loading charts...

Returns By Period

In the year-to-date period, SKYU achieves a 20.72% return, which is significantly lower than USO's 97.72% return.


SKYU

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

USO

1D
-2.92%
1M
-5.15%
YTD
97.72%
6M
91.54%
1Y
97.20%
3Y*
28.78%
5Y*
23.67%
10Y*
3.57%
*Multi-year figures are annualized to reflect compound growth (CAGR)

SKYU vs. USO - Yearly Performance Comparison


2026 (YTD)20252024202320222021
SKYU
ProShares Ultra Nasdaq Cloud Computing ETF
20.72%2.76%65.79%105.76%-75.95%7.15%
USO
United States Oil Fund LP
97.72%-8.46%13.35%-4.94%28.97%52.01%

Correlation

The correlation between SKYU and USO 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 (1Y)
Calculated over the trailing 1-year period

-0.13

Correlation (3Y)
Calculated over the trailing 3-year period

0.01

Correlation (5Y)
Calculated over the trailing 5-year period

0.07

Correlation (All Time)
Calculated using the full available price history since Jan 22, 2021

0.07

The correlation between SKYU and USO shifts across timeframes, from -0.13 (1 year) to 0.07 (5 years), reflecting how their relationship changes across market environments.

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

SKYU vs. USO — 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

USO
USO Risk / Return Rank: 6666
Overall Rank
USO Sharpe Ratio Rank: 6868
Sharpe Ratio Rank
USO Sortino Ratio Rank: 6161
Sortino Ratio Rank
USO Omega Ratio Rank: 6262
Omega Ratio Rank
USO Calmar Ratio Rank: 8686
Calmar Ratio Rank
USO Martin Ratio Rank: 5454
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. USO - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for ProShares Ultra Nasdaq Cloud Computing ETF (SKYU) and United States Oil Fund LP (USO). 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.


SKYUUSODifference
Sharpe ratioReturn per unit of total volatility

-1.47

Sortino ratioReturn per unit of downside risk

-1.45

Omega ratioGain probability vs. loss probability

1.16

1.37

-0.20

Calmar ratioReturn relative to maximum drawdown

0.82

4.79

-3.97

Martin ratioReturn relative to average drawdown

1.73

9.00

-7.27

SKYU vs. USO - Sharpe Ratio Comparison

The current SKYU Sharpe Ratio is 0.74, which is lower than the USO Sharpe Ratio of 2.21. The chart below compares the historical Sharpe Ratios of SKYU and USO, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


Loading charts...

Sharpe Ratios by Period


SKYUUSODifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

0.74

2.21

-1.47

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.03

0.66

-0.62

Sharpe Ratio (10Y)

Calculated over the trailing 10-year period

0.09

Sharpe Ratio (All Time)

Calculated using the full available price history

0.03

-0.18

+0.21

Drawdowns

SKYU vs. USO - Drawdown Comparison

The maximum SKYU drawdown since its inception was -83.01%, smaller than the maximum USO drawdown of -98.19%. Use the drawdown chart below to compare losses from any high point for SKYU and USO.


Loading charts...

Drawdown Indicators


SKYUUSODifference

Max Drawdown

Largest peak-to-trough decline

-83.01%

-98.19%

+15.18%

Max Drawdown (1Y)

Largest decline over 1 year

-50.23%

-20.39%

-29.84%

Max Drawdown (3Y)

Largest decline over 3 years

-55.71%

-26.05%

-29.66%

Max Drawdown (5Y)

Largest decline over 5 years

-83.01%

-36.23%

-46.78%

Max Drawdown (10Y)

Largest decline over 10 years

-86.75%

Current Drawdown

Current decline from peak

-22.26%

-85.45%

+63.19%

Average Drawdown

Average peak-to-trough decline

-49.16%

-75.30%

+26.14%

Ulcer Index

Depth and duration of drawdowns from previous peaks

23.88%

10.84%

+13.04%

Volatility

SKYU vs. USO - Volatility Comparison

ProShares Ultra Nasdaq Cloud Computing ETF (SKYU) has a higher volatility of 22.68% compared to United States Oil Fund LP (USO) at 14.97%. This indicates that SKYU's price experiences larger fluctuations and is considered to be riskier than USO based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


Loading charts...

Volatility by Period


SKYUUSODifference

Volatility (1M)

Calculated over the trailing 1-month period

22.68%

14.97%

+7.71%

Volatility (6M)

Calculated over the trailing 6-month period

46.60%

38.35%

+8.25%

Volatility (1Y)

Calculated over the trailing 1-year period

55.92%

44.32%

+11.60%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

61.88%

36.09%

+25.79%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

61.12%

39.00%

+22.12%

SKYU vs. USO - Expense Ratio Comparison

SKYU has a 0.95% expense ratio, which is higher than USO's 0.86% expense ratio.


Dividends

SKYU vs. USO - Dividend Comparison

SKYU's dividend yield for the trailing twelve months is around 0.58%, while USO has not paid dividends to shareholders.


PositionTTM20252024
SKYU
ProShares Ultra Nasdaq Cloud Computing ETF
0.58%0.56%0.21%
USO
United States Oil Fund LP
0.00%0.00%0.00%

Frequently Asked Questions


SKYU and USO 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.

SKYU has higher volatility (22.68%) compared to USO (14.97%). In terms of maximum drawdown, SKYU dropped -83.01% vs USO's -98.19%.

On 5-year performance, USO leads with 23.67% vs 2.14% for SKYU. On fees, USO is cheaper at 0.86% per year. On volatility, USO has been the lower-risk option at 14.97%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 5-year period, USO has performed better with a 23.67% return vs 2.14%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

USO is cheaper with a 0.86% expense ratio, compared with 0.95% for SKYU.

SKYU has the higher dividend yield at 0.58%, compared with 0.00% for USO.

SKYU is categorized as Leveraged Equities, while USO is Oil & Gas. SKYU tracks ISE Cloud Computing Index (200%), while USO tracks Front Month Light Sweet Crude Oil. They also come from different issuers: ProShares and USCF. Their fees differ too: 0.95% for SKYU and 0.86% for USO.

USO currently has the higher Sharpe Ratio (2.21 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 USO

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