Investors seeking exposure to the global metals and mining sector often compare PICK and REMX due to their complementary yet distinct approaches within critical materials. These exchange-traded funds (ETFs) do not compete directly but instead provide alternative exposure within the broader materials space: PICK targets diversified industrial metals producers, while REMX narrows focus to rare earth and strategic metals. In an environment of rising demand for metals tied to electrification, advanced technology, and supply chain resilience, the two vehicles offer differentiated strategies for investors pursuing sector participation with varying risk and thematic profiles.
The iShares MSCI Global Metals & Mining Producers ETF (PICK) is a passively managed fund that seeks to track the MSCI ACWI Select Metals & Mining Producers Ex Gold & Silver Investable Market Index. The index measures the performance of companies primarily involved in the extraction and production of diversified metals, aluminum, steel, and other industrial materials, excluding gold and silver. The ETF holds approximately 250 securities, with top holdings typically including BHP, Rio Tinto, Freeport-McMoRan (FCX), Glencore, and Anglo American. Sector allocations emphasize diversified metals and mining, followed by steel and copper. PICK carries an expense ratio of 0.39% and provides global exposure across developed and emerging markets, with notable weightings in Australia, the United States, and the United Kingdom. The fund employs physical replication and quarterly index rebalancing.
The VanEck Rare Earth and Strategic Metals ETF (REMX) is a passively managed fund designed to replicate the MVIS Global Rare Earth/Strategic Metals Index. The index tracks companies engaged in producing, refining, and recycling rare earth and strategic metals and minerals. REMX maintains a concentrated portfolio of approximately 35 holdings, with top positions often including Albemarle (ALB), China Northern Rare Earth Group, Lynas Rare Earths, MP Materials (MP), and Pilbara Minerals. The fund allocates 100% to the materials sector and features elevated exposure to China and Australia. REMX carries an expense ratio of 0.53% and utilizes physical replication with quarterly rebalancing. Its narrow focus results in higher concentration compared to broader metals ETFs.
The metals and mining sector continues to experience structural demand from electric vehicle production, renewable energy infrastructure, and advanced electronics, alongside supply considerations related to geopolitical tensions and resource nationalism. Rare earth elements and strategic metals remain central to defense technologies and high-performance magnets, with ongoing efforts to diversify supply chains away from dominant producers. Industrial metals such as copper and steel benefit from broader infrastructure and manufacturing cycles. Regulatory developments around critical minerals lists in major economies and potential trade restrictions add complexity. Both ETFs operate within this environment of commodity price volatility and strategic importance of secure mineral supplies.
In recent market cycles, PICK has demonstrated relatively steadier participation in broad industrial metals price movements due to its diversified holdings and lower concentration. REMX has shown greater sensitivity to specific rare earth price fluctuations and regional developments, particularly those affecting Chinese producers, resulting in higher volatility. Performance differentials often trace to commodity trends, with PICK more aligned to steel and copper cycles and REMX tied to lithium and rare earth dynamics. Geographic positioning further differentiates outcomes, as REMX carries heavier emerging-market concentration that can amplify responses to regional policy shifts compared to PICK’s broader developed-market weighting.
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 on ETFs like PICK and REMX may benefit from exploring the platform’s analytical capabilities.
Based on observable structural factors, Tickeron’s AI would likely assign a modest probabilistic preference to PICK in the current environment. Its lower expense ratio, greater number of holdings, and diversified exposure across industrial metals sub-sectors support a more balanced risk profile relative to REMX’s concentrated thematic focus. REMX’s higher costs and narrower mandate may appeal in scenarios of pronounced rare earth momentum, yet PICK’s broader positioning offers comparatively resilient participation across metals cycles with lower single-name and regional concentration.
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| PICK | REMX | PICK / REMX | |
| Gain YTD | 21.071 | -6.751 | -312% |
| Net Assets | 2.56B | 2.07B | 123% |
| Total Expense Ratio | 0.39 | 0.53 | 74% |
| Turnover | 10.00 | 74.00 | 14% |
| Yield | 2.03 | 1.67 | 121% |
| Fund Existence | 15 years | 16 years | - |
| PICK | REMX | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 81% | 4 days ago 84% |
| Stochastic ODDS (%) | 1 day ago 89% | 4 days ago 89% |
| Momentum ODDS (%) | 1 day ago 86% | 4 days ago 90% |
| MACD ODDS (%) | 1 day ago 80% | 4 days ago 88% |
| TrendWeek ODDS (%) | 1 day ago 85% | 4 days ago 90% |
| TrendMonth ODDS (%) | 1 day ago 84% | 4 days ago 88% |
| Advances ODDS (%) | 6 days ago 89% | N/A |
| Declines ODDS (%) | 14 days ago 85% | 4 days ago 90% |
| BollingerBands ODDS (%) | 1 day ago 79% | 4 days ago 85% |
| Aroon ODDS (%) | 1 day ago 90% | 4 days ago 90% |
A.I.dvisor indicates that over the last year, REMX has been closely correlated with LAR. These tickers have moved in lockstep 76% 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% | -2.31% | ||
| LAR - REMX | 76% Closely correlated | +1.54% | ||
| ALB - REMX | 70% Closely correlated | -2.12% | ||
| SQM - REMX | 68% Closely correlated | -0.21% | ||
| MP - REMX | 66% Closely correlated | +0.34% | ||
| SLI - REMX | 66% Loosely correlated | -6.28% | ||
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