Investors seeking exposure to critical minerals and the energy transition often evaluate specialized thematic ETFs such as REMX and URA. These funds do not compete head-to-head; instead, they deliver differentiated exposure within adjacent segments of the broader critical materials and clean-energy supply chains. REMX focuses on companies involved in rare earth and strategic metals mining, refining, and recycling, which support technologies including electric vehicles and defense applications. URA targets the uranium production and nuclear components ecosystem, reflecting renewed interest in nuclear power for decarbonization and energy security. Comparing the two helps investors understand how structural features, cost structures, and thematic tilts influence relative positioning in current market cycles.
REMX is a passively managed ETF that seeks to replicate the performance of the MVIS Global Rare Earth/Strategic Metals Index before fees and expenses. The fund typically holds 33-37 securities, with top 10 positions accounting for roughly 60% of assets. Leading holdings include Albemarle Corp. (ALB), China Northern Rare Earth Group, Lynas Rare Earths Ltd., Xiamen Tungsten Co Ltd., and MP Materials Corp. (MP). The portfolio is 100% allocated to the materials sector, with significant exposure to Australia, China, and the United States. The net expense ratio stands at 0.53%. As a non-diversified, rules-based equity ETF, REMX rebalances quarterly and provides concentrated access to companies deriving substantial revenue from rare earth and strategic metals activities.
URA is a passively managed ETF designed to track the Solactive Global Uranium & Nuclear Components Total Return Index. The fund generally maintains 55-58 holdings, with the top 10 representing approximately 60% of assets. Primary positions include Cameco Corp. (CCJ), Sprott Physical Uranium Trust, NexGen Energy Ltd. (NXE), Oklo Inc. (OKLO), and Uranium Energy Corp. (UEC). Sector allocation centers on energy (around 60-65%), with meaningful weights in industrials and utilities. Geographic exposure emphasizes Canada, the United States, and Australia. The net expense ratio is 0.69%. URA operates as a non-diversified thematic vehicle with periodic index rebalancing, offering investors focused equity exposure across the uranium mining, exploration, and nuclear supply chain.
Both ETFs operate within the critical minerals and clean-energy transition themes. Rare earth elements underpin magnets, batteries, and electronics, while uranium supports low-carbon baseload power generation. Macro drivers include supply-chain diversification efforts, geopolitical tensions affecting mineral exports, and policy support for domestic production in the United States and allied nations. Capital flows into nuclear infrastructure and electric-vehicle supply chains have influenced sector sentiment in recent market cycles. Key risks encompass commodity price volatility, regulatory changes, permitting delays, and concentration in a limited number of producing regions. These factors shape the broader environment for both rare earth and uranium equities without favoring one theme exclusively.
In recent weeks and months, relative performance between REMX and URA has reflected differing sensitivities to commodity cycles and sector rotation. REMX’s materials-centric holdings have responded to shifts in lithium and rare earth demand tied to electric-vehicle production trends, while URA has shown sensitivity to uranium spot prices and nuclear project announcements. Volatility profiles differ due to concentration levels and geographic tilts, with both funds exhibiting higher standard deviations than broad equity benchmarks during commodity-driven market phases. Positioning remains driven by macro variables such as interest-rate expectations, global energy security concerns, and supply disruptions rather than short-term price fluctuations. Investors evaluating relative positioning typically weigh expense efficiency, diversification within each theme, and alignment with specific commodity outlooks.
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 thematic ETFs may explore the platform for additional analysis.
Based on observable structural factors, Tickeron’s AI would currently assign a modest probabilistic preference to REMX due to its lower expense ratio, tighter sector focus within materials, and established holdings profile in a high-conviction critical-minerals theme. URA offers compelling nuclear-energy exposure but carries a higher cost structure and broader sector dispersion. The assessment rests on cost efficiency, thematic consistency, and risk concentration characteristics rather than short-term momentum. This conclusion reflects comparative analysis only and does not constitute investment advice.
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| REMX | URA | REMX / URA | |
| Gain YTD | -4.545 | 1.872 | -243% |
| Net Assets | 2.07B | 6.16B | 34% |
| Total Expense Ratio | 0.53 | 0.69 | 77% |
| Turnover | 74.00 | 14.51 | 510% |
| Yield | 1.67 | 4.57 | 37% |
| Fund Existence | 16 years | 16 years | - |
| REMX | URA | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 84% | N/A |
| Stochastic ODDS (%) | 4 days ago 89% | 4 days ago 90% |
| Momentum ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| MACD ODDS (%) | 4 days ago 88% | 4 days ago 90% |
| TrendWeek ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| TrendMonth ODDS (%) | 4 days ago 88% | 4 days ago 89% |
| Advances ODDS (%) | N/A | 7 days ago 90% |
| Declines ODDS (%) | 4 days ago 90% | 4 days ago 89% |
| BollingerBands ODDS (%) | 4 days ago 85% | 4 days ago 90% |
| Aroon ODDS (%) | 4 days 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% | -2.57% | ||
| LAR - REMX | 76% Closely correlated | -8.74% | ||
| ALB - REMX | 70% Closely correlated | -3.43% | ||
| SQM - REMX | 68% Closely correlated | -3.60% | ||
| MP - REMX | 66% Closely correlated | -1.58% | ||
| SLI - REMX | 66% Loosely correlated | -1.76% | ||
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A.I.dvisor indicates that over the last year, URA has been closely correlated with SMR. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if URA jumps, then SMR could also see price increases.