Investors comparing natural resources exposure often evaluate GUNR and XME because both provide equity access to commodity-producing companies without direct futures contracts. GUNR and XME do not compete directly; instead, they represent complementary yet differentiated strategies within the broader natural resources and materials theme. GUNR delivers diversified global upstream exposure across energy, agriculture, and metals, while XME concentrates on U.S. metals and mining sub-industries. This comparison helps investors understand how structural features influence positioning amid commodity price fluctuations, sector rotation, and macroeconomic shifts.
GUNR seeks to track the Morningstar Global Upstream Natural Resources Index, which measures performance of companies involved in the ownership, management, or production of natural resources in energy, agriculture, precious and industrial metals, timber, and water sectors. The ETF is passively managed using representative sampling and holds approximately 170-180 securities. Top holdings typically include Corteva (CTVA), Exxon Mobil (XOM), BHP Group, Nutrien (NTR), Shell, Chevron (CVX), and Archer-Daniels-Midland (ADM). Sector allocations emphasize materials, energy, and consumer staples, with geographic exposure spanning the United States, Canada, Australia, and other developed and emerging markets. GUNR maintains a net expense ratio of 0.46% and distributes dividends quarterly. Its distinguishing features include broad thematic diversification and a market-capitalization approach that favors larger producers.
XME seeks to track the S&P Metals & Mining Select Industry Index, which represents the metals and mining segment of the S&P Total Market Index and includes sub-industries such as aluminum, coal, copper, diversified metals, gold, silver, and steel. The ETF is passively managed with a sampling strategy and holds approximately 39 securities in an equal-weighted format. Top holdings commonly feature Uranium Energy (UEC), Hecla Mining (HL), Centrus Energy (LEU), Freeport-McMoRan (FCX), Newmont (NEM), Royal Gold (RGLD), and various steel producers. The fund is overwhelmingly U.S.-focused, with nearly all assets in domestic companies, and maintains a net expense ratio of 0.35%. XME’s equal-weight methodology and narrow industry focus distinguish it as a targeted vehicle for U.S. mining and metals cyclical exposure.
Both ETFs operate within the natural resources and basic materials sectors, which are influenced by global commodity demand, supply constraints, energy transition policies, and infrastructure spending. Key macro drivers include industrial production trends, geopolitical developments affecting mining output, and shifts in energy and metals prices. Regulatory changes around environmental standards and permitting can affect project timelines for producers held in both funds. Capital flows into these areas often respond to broader economic growth expectations and inventory cycles rather than short-term events. Risks include commodity price volatility, regulatory hurdles, and sensitivity to interest rate environments that influence capital-intensive mining operations.
Over recent market cycles, GUNR’s broader global and multi-commodity exposure has provided different volatility characteristics compared with XME’s concentrated U.S. metals focus. GUNR’s inclusion of energy and agricultural producers can moderate swings tied to pure metals prices, while XME’s equal-weighted structure amplifies moves in smaller mining names during sector rotations. Performance differentials often stem from commodity-specific trends, such as strength in industrial metals versus energy or agriculture, and from geographic factors affecting U.S. versus international producers. Both ETFs exhibit higher volatility than broad equity benchmarks during periods of commodity uncertainty, with relative positioning influenced by earnings cycles of top holdings and macroeconomic shifts in demand.
Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Investors seeking data-driven insights into ETFs like GUNR and XME can leverage this platform to refine their analysis.
Based on observable structural factors, Tickeron’s AI would currently assign a modestly higher probability of favor to XME due to its lower expense ratio, equal-weighted diversification within a focused theme, and alignment with potential domestic metals momentum. GUNR remains attractive for investors prioritizing broader global natural resources diversification and higher dividend yield potential. The assessment reflects cost efficiency, holdings concentration trade-offs, and thematic consistency rather than any guarantee of future results.
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| GUNR | XME | GUNR / XME | |
| Gain YTD | 21.859 | 5.117 | 427% |
| Net Assets | 7.3B | 4.48B | 163% |
| Total Expense Ratio | 0.46 | 0.35 | 131% |
| Turnover | 28.00 | 45.00 | 62% |
| Yield | 2.16 | 0.32 | 685% |
| Fund Existence | 15 years | 20 years | - |
| GUNR | XME | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 82% | 4 days ago 88% |
| Stochastic ODDS (%) | 1 day ago 90% | 3 days ago 90% |
| Momentum ODDS (%) | 1 day ago 85% | 3 days ago 81% |
| MACD ODDS (%) | 1 day ago 75% | 3 days ago 87% |
| TrendWeek ODDS (%) | 1 day ago 75% | 3 days ago 86% |
| TrendMonth ODDS (%) | 1 day ago 84% | 3 days ago 85% |
| Advances ODDS (%) | 9 days ago 83% | 10 days ago 90% |
| Declines ODDS (%) | 4 days ago 75% | 3 days ago 87% |
| BollingerBands ODDS (%) | 1 day ago 87% | 3 days ago 90% |
| Aroon ODDS (%) | 1 day ago 87% | 3 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| PFXF | 17.59 | 0.02 | +0.11% |
| VanEck Pref Secs ex Fincls ETF | |||
| ACSI | 78.15 | N/A | N/A |
| American Customer Satisfaction ETF | |||
| GDEC | 40.44 | -0.10 | -0.25% |
| FT Vest U.S. Eq Mod Buffr ETF - Dec | |||
| FCA | 26.76 | -0.37 | -1.38% |
| First Trust China AlphaDEX® ETF | |||
| TTOP | 18.07 | -0.80 | -4.26% |
| 21Shares FTSE Crypto 10 Index ETF | |||
A.I.dvisor indicates that over the last year, XME has been closely correlated with CDE. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if XME jumps, then CDE could also see price increases.