Investors seeking exposure to the materials and mining sector often evaluate specialized vehicles like REMX and XME to align with commodity cycles, technological demand, and industrial growth. These ETFs do not compete directly but instead deliver alternative positioning within overlapping themes: REMX targets the strategic metals subset on a global basis, while XME captures a wider slice of U.S. metals and mining activity. This comparison highlights structural distinctions that help investors match portfolio objectives with sector rotation or thematic allocation strategies in the current environment.
REMX seeks to replicate the performance of the MVIS Global Rare Earth/Strategic Metals Index before fees and expenses. The fund is a passive, thematic equity ETF with approximately 37 holdings concentrated in companies involved in the production, refining, and recycling of rare earth and strategic metals. Top positions typically include Albemarle (ALB), China Northern Rare Earth, Pilbara Minerals, Lynas Rare Earths, and MP Materials (MP), often accounting for more than 60% of assets. Sector allocation is essentially 100% materials. The expense ratio stands at 0.53%. The index applies market-capitalization weighting with caps and rebalances quarterly, resulting in meaningful exposure to emerging markets alongside developed economies.
XME tracks the S&P Metals and Mining Select Industry Index through a passive, modified equal-weighted strategy. The ETF holds roughly 39 securities focused on the metals and mining segment of the U.S. equity market, spanning sub-industries such as steel, diversified metals, gold, silver, copper, and coal. Representative holdings often include Hecla Mining, Newmont, Centrus Energy, Uranium Energy, and Reliance Steel, with top-10 concentration typically near 45-50%. Sector weights center on materials with a secondary energy component. The expense ratio is 0.35%. The index methodology promotes more balanced representation across constituents and rebalances periodically to maintain equal weighting characteristics.
The metals and mining sector continues to respond to structural demand drivers including electrification, renewable energy infrastructure, defense applications, and semiconductor manufacturing. Rare earth elements remain critical for magnets and high-tech components, while broader mining outputs support steel production and industrial activity. Macro influences such as interest-rate expectations, global supply-chain resilience, and commodity price trends shape capital allocation. Regulatory developments around mining permits and environmental standards add layers of complexity. Both ETFs operate within this environment, where thematic concentration in REMX amplifies exposure to specific supply constraints, and XME’s broader scope captures cyclical shifts across multiple mining verticals.
In recent market cycles, REMX has exhibited greater sensitivity to rare-earth price movements and geopolitical developments affecting key producing regions, leading to distinct volatility patterns compared with broader mining benchmarks. XME’s modified equal-weighted construction has supported more consistent participation across sub-sectors during periods of sector rotation. Relative positioning reflects differing beta to commodity cycles: REMX offers concentrated upside potential in strategic metals but with elevated drawdown risk, while XME provides diversified exposure that may moderate extremes. Investors evaluating these characteristics in the context of portfolio construction often weigh REMX’s thematic purity against XME’s cost advantage and U.S.-centric stability.
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 REMX and XME can leverage this platform to refine their research process.
Based on observable structural factors including lower expense ratio, modified equal-weighted diversification, and broader sub-industry coverage within the U.S. market, Tickeron’s AI would assign a modestly higher probability of favorable positioning to XME in the current environment. REMX’s thematic focus and global reach provide distinct value for investors prioritizing rare-earth exposure, yet XME’s cost efficiency and balanced methodology align with a wider range of allocation objectives under prevailing sector dynamics.
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| REMX | XME | REMX / XME | |
| Gain YTD | 7.887 | 13.912 | 57% |
| Net Assets | 2.33B | 4.77B | 49% |
| Total Expense Ratio | 0.53 | 0.35 | 151% |
| Turnover | 74.00 | 48.00 | 154% |
| Yield | 1.98 | 0.37 | 534% |
| Fund Existence | 16 years | 20 years | - |
| REMX | XME | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 89% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 89% | 2 days ago 87% |
| Momentum ODDS (%) | 2 days ago 79% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 76% | 5 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 89% | 2 days ago 87% |
| TrendMonth ODDS (%) | 2 days ago 87% | 2 days ago 90% |
| Advances ODDS (%) | 19 days ago 90% | 15 days ago 90% |
| Declines ODDS (%) | 6 days ago 90% | 13 days ago 88% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 80% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 77% |
A.I.dvisor indicates that over the last year, REMX has been closely correlated with LAR. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if REMX jumps, then LAR could also see price increases.
| Ticker / NAME | Correlation To REMX | 1D Price Change % | ||
|---|---|---|---|---|
| REMX | 100% | -1.24% | ||
| LAR - REMX | 75% Closely correlated | -1.90% | ||
| ALB - REMX | 71% Closely correlated | -1.21% | ||
| SQM - REMX | 69% Closely correlated | +0.45% | ||
| MP - REMX | 66% Closely correlated | -4.38% | ||
| SLI - REMX | 66% Loosely correlated | -2.02% | ||
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A.I.dvisor indicates that over the last year, XME has been closely correlated with CDE. These tickers have moved in lockstep 76% 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.