Snapshot*
Top 10 Holdings
What is SPXE?
ProShares S&P 500 Ex-Energy ETF seeks investment results, before fees and expenses, that track the performance of the S&P 500 Ex-Energy Index. The index seeks to provide exposure to the companies of the S&P 500 with the exception of those companies included in the energy sector. The S&P 500 is a measure of large-cap U.S. stock market performance. It is a float-adjusted, market capitalization-weighted index of 500 U.S. operating companies and real estate investment trusts selected through a process that factors in criteria such as liquidity, price, market capitalization and financial viability. The index classifies each company in the S&P 500 as part of a particular sector, using S&Ps Global Industry Classification Standards ("S&P GICS") to define companies within a sector. The following sectors are included within S&P GICS: consumer discretionary, consumer staples, energy, financials, health care, industrials, information technology, materials, telecommunication services and utilities. A sector comprises multiple industries. For example, the energy sector comprises companies in, among others, the natural gas, oil and petroleum industries. The index consists of companies from each of the sectors other than the energy sector. Each security in the index is market-cap weighted according to the same rules as the S&P 500.
SPXEPerformance Measures**
for the time period Sep 24, 2015 to Dec 4, 2025
1M Trailing Return: 1.2%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: 5.6%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -32.3%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 17.5%
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: 0.91
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: 0.48
The annualized return divided by the max drawdown for the selected time period.
ETFs related toSPXE
ETFs correlated to SPXE include SPUU, GSUS, PBUS
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 toSPXE
KMLM Switcher + BWC: This is How I Beta Ball
Category
Tactical allocation, Trend-following, Mean reversion, Volatility hedging, Leveraged ETFs, Managed futures, Market timing
OOS Cumulative Return
37.5%
BIL Popcorn (GIL) | BWC | Anansi | DereckN | BrianE | Gobi - WM74 mod
Category
Tactical allocation, trend following, mean reversion, volatility-aware, leveraged ETFs, hedging, managed futures, market timing
OOS Cumulative Return
35.62%
Create your own algorithmic trading strategy with SPXE 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.