Snapshot*
Top 10 Holdings
What is SCO?
ProShares UltraShort Bloomberg Crude Oil seeks daily investment results, before fees and expenses, that correspond to two times the inverse (-2x) of the daily performance of the Bloomberg Commodity Balanced WTI Crude Oil Index. The Bloomberg Commodity Balanced WTI Crude Oil Index aims to track the performance of three separate contract schedules for WTI crude oil futures which are reset on a semi-annual basis. One third of the index follows a monthly roll schedule, the second third of the index follows a June annual roll schedule, while the remaining third follows a December annual roll schedule.
SCOPerformance Measures**
for the time period Nov 25, 2008 to Dec 4, 2025
1M Trailing Return: 2.6%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: 7.9%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -99.5%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 70.4%
The typical amount that daily returns vary from the mean of the returns over the time period, standardized to a period of a year.
Sharpe Ratio: -0.01
The annualized arithmetic mean of the daily returns divided by the annualized standard deviation of the daily returns for the selected time period.
Calmar Ratio: -0.23
The annualized return divided by the max drawdown for the selected time period.
ETFs related toSCO
ETFs correlated to SCO include ERY, OILD, DUG
What is ETF correlation?
Correlation is a measure of the strength of the relationship between two ETFs. It quantifies the degree to which prices of the two ETFs typically move together.
Here, correlation is measured over the past year with the Pearson correlation coefficient (Pearon’s r), which ranges from -1 to 1.
Using ETF correlations in portfolio and strategy construction
ETF correlations can help you create investing strategies and portfolios. Use them to:
- •Build a diversified portfolio from uncorrelated or inversely correlated ETFs with the aim of minimizing portfolio risk.
- •Compare correlated or related ETFs to find one with a lower expense ratio or higher trading volume.
- •Create an investing strategy that hedges an ETF with an uncorrelated or inversely correlated ETF.
Trading Strategies
Related toSCO
CQ | BTC Rally Rider - Minimal Noise
Category
Crypto, bitcoin, trend-following, momentum, tactical allocation, leveraged ETFs, inverse ETFs, volatility, tech, oil, defensive
OOS Cumulative Return
417.78%
CounterBalancer - LowMed R/R LBT
Category
Tactical asset allocation, risk-on/risk-off, leveraged ETFs, momentum, mean reversion, bonds vs stocks, volatility hedges
OOS Cumulative Return
345.86%
Create your own algorithmic trading strategy with SCO using Composer
FAQ
Disclaimers
We show information directly obtained from our data provider, Xignite. Data shown here is provided by Xignite, an unaffiliated third party. Composer believes the information shown here is reliable, but has not been verified and there is no guarantee that the information is accurate.
We show information based on calculations performed by Composer using data from our provider. Information provided here is based on calculations performed by Composer using data sourced from Xignite, an unaffiliated third party. Composer believes this information is reliable, but has not verified the data and there is no guarantee that the calculations are accurate.