Global X Copper Miners ETF (COPX) and VanEck Steel ETF (SLX) both target the materials sector but pursue distinct commodity exposures that appeal to investors seeking industrial metal opportunities. COPX delivers targeted access to copper miners, aligning with long-term electrification trends, while SLX encompasses the full steel ecosystem from iron ore extraction to finished steel products. These ETFs do not compete directly; instead, they serve as complementary or alternative vehicles for investors navigating commodity cycles, infrastructure demand, and global manufacturing activity. The comparison highlights differences in strategy, cost, and risk profiles relevant to current sector positioning.
Global X Copper Miners ETF (COPX) is a passive thematic ETF that seeks to track the Solactive Global Copper Miners Total Return Index. The fund holds approximately 40 equities focused on companies engaged in copper exploration, mining, and production. Top holdings typically include BHP Group Ltd, Teck Resources Ltd, Hudbay Minerals Inc, Southern Copper Corp, and First Quantum Minerals Ltd, with the top ten positions representing a significant but diversified share of assets. Sector allocation centers almost entirely on materials, with geographic exposure spanning Canada, Australia, the United States, Chile, and other regions. The expense ratio stands at 0.65%. The strategy employs market-cap weighting with periodic rebalancing to maintain alignment with the underlying index. COPX provides liquid exposure to copper mining equities through a standard open-end structure listed on NYSE Arca.
VanEck Steel ETF (SLX) is a passive sector ETF designed to replicate the performance of the MarketVector Global Steel Index. The fund maintains approximately 42 holdings encompassing iron ore miners, steel producers, fabricators, and related service companies. Leading positions often feature BHP Group Ltd, Rio Tinto plc, Vale SA, Nucor Corp, and Steel Dynamics Inc, with the top ten holdings comprising a substantial portion of the portfolio. Sector weights concentrate in materials, supplemented by modest exposure to energy and industrials. Geographic diversification includes Australia, the United States, Brazil, Japan, and Europe. The expense ratio is 0.55%. The index uses a modified market-capitalization weighting methodology with quarterly rebalancing and float adjustments. SLX operates as a standard open-end ETF on NYSE Arca, offering liquidity in the steel industry segment.
The materials sector encompasses mining and processing of industrial metals essential for global infrastructure, manufacturing, and energy transition. Copper demand receives structural support from electric vehicle adoption, renewable power generation, and data center expansion, while supply constraints from declining ore grades and permitting delays create potential imbalances. Steel production faces cyclical influences from construction activity, automotive output, and capital expenditure cycles, with iron ore prices serving as a key input driver. Macroeconomic factors including interest rate trajectories, Chinese industrial output, and geopolitical trade dynamics affect both commodities. Regulatory developments around mining permits and environmental standards add operational considerations for producers in both copper and steel value chains.
In recent market cycles, Global X Copper Miners ETF (COPX) has shown sensitivity to copper price movements driven by electrification narratives and supply-side developments, resulting in periods of elevated volatility compared with broader equity benchmarks. VanEck Steel ETF (SLX) has reflected steel demand tied to infrastructure spending and manufacturing recovery, with performance influenced by iron ore trends and regional production shifts. Relative positioning highlights COPX’s higher beta to copper-specific catalysts versus SLX’s broader exposure across the steel supply chain, which can moderate volatility during commodity rotations. Both funds have participated in materials sector movements linked to global growth expectations and commodity price cycles over recent weeks and months.
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.
Tickeron’s AI would likely favor VanEck Steel ETF (SLX) in the current environment due to its lower expense ratio, broader diversification across the steel value chain, and solid liquidity profile. The fund’s structural characteristics provide a more balanced risk exposure relative to Global X Copper Miners ETF (COPX)’s narrower thematic concentration, while maintaining competitive positioning within the materials sector amid ongoing industrial demand.
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| COPX | SLX | COPX / SLX | |
| Gain YTD | 31.969 | 28.082 | 114% |
| Net Assets | 8.64B | 174M | 4,968% |
| Total Expense Ratio | 0.65 | 0.55 | 118% |
| Turnover | 21.67 | 107.00 | 20% |
| Yield | 2.45 | 1.25 | 196% |
| Fund Existence | 16 years | 20 years | - |
| COPX | SLX | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 86% | 3 days ago 83% |
| Stochastic ODDS (%) | 3 days ago 90% | 3 days ago 83% |
| Momentum ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| MACD ODDS (%) | N/A | 3 days ago 85% |
| TrendWeek ODDS (%) | 3 days ago 87% | 3 days ago 89% |
| TrendMonth ODDS (%) | 3 days ago 89% | 3 days ago 87% |
| Advances ODDS (%) | 10 days ago 90% | 6 days ago 89% |
| Declines ODDS (%) | 18 days ago 89% | 17 days ago 81% |
| BollingerBands ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Aroon ODDS (%) | 3 days ago 88% | 3 days ago 88% |
A.I.dvisor indicates that over the last year, COPX has been closely correlated with BHP. These tickers have moved in lockstep 83% of the time. This A.I.-generated data suggests there is a high statistical probability that if COPX jumps, then BHP could also see price increases.
| Ticker / NAME | Correlation To COPX | 1D Price Change % | ||
|---|---|---|---|---|
| COPX | 100% | -2.10% | ||
| BHP - COPX | 83% Closely correlated | -1.27% | ||
| WDS - COPX | 57% Loosely correlated | -0.99% | ||
| NEXA - COPX | 30% Poorly correlated | -3.96% | ||
| TKO - COPX | 13% Poorly correlated | +0.16% | ||
| MTAL - COPX | -2% Poorly correlated | +0.10% | ||
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A.I.dvisor indicates that over the last year, SLX has been closely correlated with RIO. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if SLX jumps, then RIO could also see price increases.