The investment seeks to provide investment results that, before fees and expenses, correspond generally to the total return performance of an index derived from the metals and mining segment of a U... Show more
The SPDR S&P Metals & Mining ETF (XME) seeks to track the performance of the S&P Metals and Mining Select Industry Index before fees and expenses. This modified equal-weighted index offers targeted exposure to the metals and mining segment of the S&P Total Market Index, spanning sub-industries including steel, diversified metals and mining, gold, coal and consumable fuels, copper, and aluminum.
The ETF maintains approximately 35 to 41 holdings, with top positions typically allocated across companies such as Hecla Mining, Newmont, Coeur Mining, Uranium Energy, and Freeport-McMoRan. Geographic exposure is predominantly North American, with the majority of assets in U.S. issuers. Sector allocation centers on basic materials, supplemented by energy-related exposures through uranium and coal producers.
This structure positions the fund to benefit from commodity price movements and industrial activity. The equal-weighting approach limits concentration risk compared with cap-weighted alternatives while emphasizing smaller and mid-sized producers alongside larger names. Expense ratio stands at 0.35 percent, supporting cost-efficient access to the asset class.
Interest rate decisions by the Federal Reserve could influence borrowing costs for capital-intensive mining operations and broader economic activity that drives metal consumption. Lower rates may ease financing pressures and support demand.
Industrial metals demand tied to data center expansion for artificial intelligence represents a notable near-term driver, with projections indicating substantial copper requirements over the coming years. Supply constraints from geopolitical tensions or operational disruptions could further tighten balances and affect pricing.
Policy measures, including defense budget allocations and strategic critical minerals reserves, may boost domestic production needs for uranium, rare earths, and other materials. Earnings outlooks for major holdings will hinge on realized commodity prices and cost management amid fluctuating energy inputs.
ETF inflows and outflows trends in the natural resources category could signal broader investor sentiment toward cyclical sectors, potentially amplifying moves in XME if allocations shift toward materials.
The metals and mining sector remains closely linked to global economic growth, capital expenditure cycles, and commodity demand. Resilient U.S. growth expectations, supported by ongoing industrial investment, could underpin consumption of steel and base metals.
Inflation trends and monetary policy will continue to shape input costs and the relative attractiveness of hard assets. A stable to lower interest rate environment may favor cyclical producers by reducing discount rates on future cash flows.
Equity market breadth beyond technology leadership could expand opportunities for materials stocks if earnings growth broadens. Currency movements, particularly U.S. dollar strength, may pressure export-oriented producers while affecting import costs for certain inputs.
Commodity cycles for copper, gold, and aluminum appear constructive amid supply-side pressures and electrification needs, though risks from oversupply in select markets warrant monitoring. The index’s focus on U.S.-listed companies provides direct exposure to these dynamics without international currency overlays.
The Trend Prediction Engine is an AI-powered forecasting tool that helps traders identify whether a stock, ETF, or other asset may move bullish, bearish, or sideways over the next week or month. It is designed to help users spot developing trends, evaluate possible breakouts or reversals, and explore predictions across a wide range of tradable instruments. The product includes searchable prediction categories, historical context, and alert-oriented functionality. Explore the Trend Prediction Engine for additional insights on market movements.
Long-term sector growth may be supported by population expansion, urbanization, and rising living standards that sustain demand for infrastructure metals. Technology adoption in mining operations, including artificial intelligence for exploration and efficiency, could enhance productivity across holdings.
Demographic and economic cycles point toward continued need for steel in construction and copper in electrification projects. Market structure changes, such as supply-chain regionalization and critical minerals policies, may favor domestic producers represented in the index.
Interest rate cycles will influence capital allocation decisions, while global investment trends toward energy transition materials could extend beyond near-term volatility. The underlying index’s emphasis on a broad basket of metals positions the ETF to capture these evolving themes through established industry participants.
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.
Category NaturalResources
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| GRNY | 28.19 | 0.07 | +0.25% |
| Fundstrat Granny Shots US Large Cap ETF | |||
| YMAX | 7.70 | 0.01 | +0.13% |
| YieldMax Universe Fund Of Option Inc ETF | |||
| DBEM | 39.76 | N/A | +0.01% |
| Xtrackers MSCI Em Mkts Hdg Eq ETF | |||
| CCOR | 25.98 | -0.26 | -1.00% |
| Core Alternative Capital | |||
| VIOV | 116.85 | -1.28 | -1.08% |
| Vanguard S&P Small-Cap 600 Value ETF | |||
A.I.dvisor indicates that over the last year, XME has been closely correlated with SETM. These tickers have moved in lockstep 87% of the time. This A.I.-generated data suggests there is a high statistical probability that if XME jumps, then SETM could also see price increases.
| Ticker / NAME | Correlation To XME | 1D Price Change % | ||
|---|---|---|---|---|
| XME | 100% | +1.12% | ||
| SETM - XME | 87% Closely correlated | +1.59% | ||
| MGNR - XME | 84% Closely correlated | +1.42% | ||
| PICK - XME | 82% Closely correlated | +1.64% | ||
| ICOP - XME | 81% Closely correlated | +3.23% | ||
| URA - XME | 81% Closely correlated | +3.13% | ||
More | ||||
XME saw its Momentum Indicator move above the 0 level on September 08, 2026. This is an indication that the stock could be shifting in to a new upward move. Traders may want to consider buying the stock or buying call options. Tickeron's A.I.dvisor looked at 70 similar instances where the indicator turned positive. In of the 70 cases, the stock moved higher in the following days. The odds of a move higher are at .
XME moved above its 50-day moving average on August 05, 2026 date and that indicates a change from a downward trend to an upward trend.
The 10-day moving average for XME crossed bullishly above the 50-day moving average on August 12, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In of 15 past instances when the 10-day crossed above the 50-day, the stock continued to move higher over the following month. The odds of a continued upward trend are .
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where XME advanced for three days, in of 365 cases, the price rose further within the following month. The odds of a continued upward trend are .
The Aroon Indicator entered an Uptrend today. In of 350 cases where XME Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .
The 10-day RSI Indicator for XME moved out of overbought territory on August 12, 2026. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 42 similar instances where the indicator moved out of overbought territory. In of the 42 cases, the stock moved lower in the following days. This puts the odds of a move lower at .
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In of 60 cases where XME's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are .
The Moving Average Convergence Divergence Histogram (MACD) for XME turned negative on September 01, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 47 similar instances when the indicator turned negative. In of the 47 cases the stock turned lower in the days that followed. This puts the odds of success at .
The 50-day moving average for XME moved below the 200-day moving average on August 06, 2026. This could be a long-term bearish signal for the stock as the stock shifts to an downward trend.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where XME declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
XME broke above its upper Bollinger Band on August 27, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.