Investors seeking materials-sector exposure often evaluate specialized commodity ETFs to capture distinct supply-chain segments. Global X Copper Miners ETF (COPX) and VanEck Steel ETF (SLX) do not compete directly but provide alternative pathways within the same broad sector. COPX targets copper mining equities, while SLX covers steel producers and related upstream activities. These funds appeal to investors with differing views on industrial metals demand driven by energy transition versus traditional manufacturing and construction cycles.
The Global X Copper Miners ETF (COPX) is a passively managed fund that seeks to track the Solactive Global Copper Miners Total Return Index. It holds approximately 40 securities focused on companies engaged in copper mining and related activities. The fund maintains a market-capitalization-weighted approach with periodic rebalancing to reflect index changes. Top holdings typically include BHP Group Ltd, Teck Resources Ltd, Hudbay Minerals Inc, Southern Copper Corp, and First Quantum Minerals Ltd, each representing roughly 5% of assets. Allocations concentrate in the materials sector, with geographic exposure spanning Canada, Australia, the United States, and emerging markets. The expense ratio stands at 0.65%. As a thematic equity ETF, COPX delivers concentrated access to the copper value chain without leverage or active management.
The VanEck Steel ETF (SLX) is a passively managed vehicle designed to replicate the MarketVector Global Steel Index. It contains approximately 42 holdings spanning steel production, fabrication, iron ore mining, and related services. The index employs a modified market-capitalization weighting with float adjustment and undergoes regular rebalancing. Prominent positions often feature BHP Group Ltd, Rio Tinto PLC, Vale SA, Nucor Corp, and Steel Dynamics Inc. The portfolio remains heavily weighted toward materials, with additional exposure to industrials in some cases. Geographic diversification includes Australia, the United States, Japan, Brazil, and Europe. SLX carries a net expense ratio of 0.55%. The fund offers straightforward equity exposure to the global steel ecosystem through a rules-based methodology.
Both ETFs operate within the materials sector, where demand for industrial metals responds to global economic growth, infrastructure spending, and manufacturing activity. Copper benefits from structural tailwinds in electric vehicles, renewable energy infrastructure, and data centers, while steel demand ties more closely to construction, automotive production, and heavy industry. Macro drivers include capital expenditure cycles, trade policies, and commodity price fluctuations. Regulatory developments around mining permits and environmental standards influence both segments. Sector risks encompass supply disruptions, geopolitical tensions in key producing regions, and shifts in Chinese industrial output. Capital flows into metals equities tend to accelerate during periods of sustained economic expansion or energy-transition investment.
In recent market cycles, COPX has exhibited sensitivity to copper price movements and electrification narratives, resulting in distinct volatility patterns compared with broader equity benchmarks. SLX has shown responsiveness to steel demand indicators and iron ore trends, often aligning with industrial production data. Relative positioning highlights COPX’s higher concentration in copper-specific names, which can amplify moves during commodity rallies tied to green energy themes. SLX maintains broader steel-industry diversification, potentially offering different exposure during traditional economic recoveries. Both funds demonstrate correlations with global growth expectations, yet their commodity emphases create differentiated behavior across interest-rate and inventory cycles.
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 funds like COPX and SLX may find the platform useful for refining screening criteria.
Based on observable structural factors, Tickeron’s AI would likely assign a modest probabilistic edge to Global X Copper Miners ETF (COPX) in the current environment. The fund’s thematic alignment with electrification and renewable infrastructure provides exposure to durable demand drivers, supported by a diversified yet focused holdings profile. While SLX offers cost efficiency and steel-sector breadth, COPX’s positioning within a high-growth commodity subset and larger liquidity profile contribute to a favorable relative assessment under prevailing sector momentum conditions. This conclusion rests on structural characteristics rather than short-term price action.
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| COPX | SLX | COPX / SLX | |
| Gain YTD | 26.714 | 30.792 | 87% |
| Net Assets | 8.12B | 174M | 4,667% |
| Total Expense Ratio | 0.65 | 0.55 | 118% |
| Turnover | 21.67 | 107.00 | 20% |
| Yield | 2.07 | 1.22 | 170% |
| Fund Existence | 16 years | 20 years | - |
| COPX | SLX | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 80% | 4 days ago 85% |
| Stochastic ODDS (%) | 4 days ago 90% | 4 days ago 83% |
| Momentum ODDS (%) | 4 days ago 88% | 4 days ago 90% |
| MACD ODDS (%) | 4 days ago 84% | 4 days ago 90% |
| TrendWeek ODDS (%) | 4 days ago 87% | 4 days ago 89% |
| TrendMonth ODDS (%) | 4 days ago 89% | 4 days ago 87% |
| Advances ODDS (%) | 5 days ago 90% | 4 days ago 89% |
| Declines ODDS (%) | 7 days ago 88% | 8 days ago 81% |
| BollingerBands ODDS (%) | 4 days ago 88% | 4 days ago 90% |
| Aroon ODDS (%) | 4 days ago 88% | 4 days ago 89% |
| 1 Day | |||
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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% | -0.65% | ||
| BHP - COPX | 83% Closely correlated | -0.34% | ||
| WDS - COPX | 57% Loosely correlated | -1.64% | ||
| NEXA - COPX | 30% Poorly correlated | -0.36% | ||
| TKO - COPX | 13% Poorly correlated | -1.80% | ||
| MTAL - COPX | -3% Poorly correlated | N/A | ||
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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.