Snapshot*
Top 10 Holdings
What is XME?
The SPDR S&P Metals & Mining ETF seeks to provide investment results that, before fees and expenses, correspond generally to the total return performance of the S&P Metals and Mining Select Industry Index (the Index ). The S&P Metals & Mining Select Industry Index (the Index ) represents the metals and mining segment of the S&PTotal Market Index ( S&P TMI ). The S&P TMI is designed to track the broad U.S. equity market. The metals & mining segment of the S&P TMI comprises the following sub-industries: Aluminum, Coal & Consumable Fuels, Copper, Diversified Metals & Mining, Gold, Precious Metals & Minerals, Silver, and Steel. The Index is one of twenty-one (21) of the S&P Select Industry Indices (the Select Industry Indices ), each designed to measure the performance of a narrow sub-industry or group of sub-industries determined based on the Global Industry Classification Standard ( GICS ).
XMEPerformance Measures**
for the time period Jun 22, 2006 to Aug 5, 2026
1M Trailing Return: 5.5%
The percent change in the value over the most recent 1-month period.
3M Trailing Return: -5.8%
The percent change in the value over the most recent 3-month period.
Max Drawdown: -85.9%
The greatest percent loss from peak to trough in value over the time period.
Standard Deviation: 38.3%
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: 0.34
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: 0.07
The annualized return divided by the max drawdown for the selected time period.
ETFs related toXME
ETFs correlated to XME include FXZ, IYM, SLX
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 toXME
Commodities/Bonds - Weekly
Category
Tactical asset allocation, Trend following, Risk parity, Risk-on/risk-off, Leveraged ETFs, Commodities tilt, Weekly rebalance
OOS Cumulative Return
504.56%
Popped Grind l BrianE VoxMachina Okhi2u SolarianKnight l
Category
Tactical allocation, momentum, mean reversion, sector rotation, managed futures, volatility hedge, leveraged ETFs
OOS Cumulative Return
392.07%
Create your own algorithmic trading strategy with XME 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.