These three ETFs target overlapping yet distinct segments of the metals and mining sector, making them relevant for comparison amid ongoing global demand for copper and critical minerals driven by electrification and infrastructure needs. COPX focuses narrowly on copper miners, EMET expands to electrification metals, and XME covers a wider array of metals and mining sub-industries. They represent different strategic approaches to the same broad theme rather than tracking identical indexes, offering investors tiered options for thematic exposure with varying levels of concentration and sector breadth.
The Global X Copper Miners ETF (COPX) seeks to track the Solactive Global Copper Miners Total Return Index, providing exposure to companies involved in copper mining, exploration, and production worldwide. It holds approximately 40 securities in a market-capitalization-weighted structure and maintains a passive, thematic strategy. Top holdings typically include major producers such as BHP Group, Teck Resources, and Freeport-McMoRan. Sector allocation centers heavily on basic materials. The fund charges a 0.65% expense ratio and rebalances according to the index methodology, delivering targeted copper mining access without leverage or active management.
The VanEck Copper and Electrification Metals ETF (EMET) aims to replicate the MarketVector Global Electrification Metals Index, focusing on companies engaged in the production, refining, processing, and recycling of metals essential to electrification. It contains roughly 60 holdings in a passive, market-cap-weighted framework. Prominent positions often feature Freeport-McMoRan, Glencore, and Anglo American. Allocations span copper and related critical minerals across global regions. The expense ratio stands at 0.62%, with quarterly index reconstitution supporting its thematic objective.
The SPDR S&P Metals & Mining ETF (XME) tracks the S&P Metals and Mining Select Industry Index, representing the metals and mining segment of the broader U.S. equity market. It employs a modified equal-weighted methodology across approximately 35 holdings, encompassing sub-industries such as copper, gold, steel, and coal. Leading holdings frequently include companies like Hecla Mining, Alcoa, and Freeport-McMoRan. The fund maintains a 0.35% expense ratio and follows a passive approach with periodic rebalancing to maintain equal weighting within the select industry framework.
The metals and mining sector faces sustained demand from global electrification trends, renewable energy expansion, electric vehicle adoption, and data center growth, all of which elevate the role of copper and critical minerals. Macroeconomic drivers include supply constraints, geopolitical tensions affecting major producing regions, and regulatory shifts toward sustainable mining practices. Capital flows into thematic mining ETFs reflect investor interest in commodities tied to the energy transition, while risks encompass commodity price volatility, environmental regulations, and cyclical earnings sensitivity among producers. Broader sector dynamics influence all three ETFs through shared exposure to copper and mining equities.
In recent market cycles, structural differences have driven varied behavior among the ETFs. COPX’s concentrated copper focus has produced higher sensitivity to copper price movements and potential for amplified volatility during commodity rallies. EMET’s multi-metal diversification across electrification themes has offered a buffer against single-commodity swings while maintaining thematic alignment. XME’s equal-weighted, broader metals and mining mandate has resulted in different drawdown patterns and trend consistency compared with the more specialized peers, with lower costs potentially supporting relative stability over extended periods. Performance differentials stem primarily from index construction, geographic and sub-sector exposures, and weighting methodologies rather than short-term price fluctuations.
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 COPX, EMET, and XME may find the platform useful for refining their research process.
Based on observable structural characteristics, Tickeron’s AI would likely assign a modest probabilistic edge to XME for its lower expense ratio, equal-weighted diversification across the metals and mining spectrum, and reduced concentration risk relative to the more thematic peers. COPX and EMET demonstrate stronger specialization for investors prioritizing pure copper or electrification-metal exposure, though their higher costs and narrower mandates introduce different risk-adjusted considerations. Final selection should align with individual portfolio objectives and risk tolerance.
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| COPX | EMET | XME | |
| Gain YTD | 26.714 | 20.047 | 14.636 |
| Net Assets | 8.12B | 38.3M | 4.85B |
| Total Expense Ratio | 0.65 | 0.62 | 0.35 |
| Turnover | 21.67 | 21.00 | 48.00 |
| Yield | 2.07 | 1.50 | 0.32 |
| Fund Existence | 16 years | 5 years | 20 years |
| COPX | EMET | XME | |
|---|---|---|---|
| RSI ODDS (%) | 2 days ago 80% | 2 days ago 84% | 2 days ago 81% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 88% | 2 days ago 85% |
| Momentum ODDS (%) | 2 days ago 88% | 2 days ago 90% | 2 days ago 84% |
| MACD ODDS (%) | 2 days ago 84% | 2 days ago 90% | 2 days ago 83% |
| TrendWeek ODDS (%) | 2 days ago 87% | 2 days ago 86% | 2 days ago 86% |
| TrendMonth ODDS (%) | 2 days ago 89% | 2 days ago 84% | 2 days ago 90% |
| Advances ODDS (%) | 3 days ago 90% | 3 days ago 87% | 26 days ago 90% |
| Declines ODDS (%) | 5 days ago 88% | 5 days ago 87% | 5 days ago 87% |
| BollingerBands ODDS (%) | 2 days ago 88% | 2 days ago 89% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 88% | 2 days ago 88% | 2 days ago 90% |
| 1 Day | |||
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