Investors seeking exposure to energy transition themes or commodity cycles often evaluate specialized sector ETFs. NLR and XME do not compete directly; instead, they offer distinct strategies within broader natural resources and materials sectors. NLR targets the nuclear energy ecosystem, while XME provides diversified metals and mining exposure. Comparing these funds helps investors assess trade-offs between concentrated thematic bets and broader commodity participation, particularly amid evolving capital flows toward clean energy and industrial metals demand.
The VanEck Uranium and Nuclear ETF (NLR) is a passive fund that seeks to replicate the MVIS Global Uranium & Nuclear Energy Index. The index includes companies deriving significant revenue from uranium mining, nuclear power plant construction and maintenance, electricity generation from nuclear sources, and related equipment or services. The ETF holds approximately 29 securities, with top holdings typically including Constellation Energy Corporation (CEG), Cameco Corporation (CCJ), and Public Service Enterprise Group (PEG). Sector allocations concentrate in utilities and materials. It carries a net expense ratio of 0.52% and employs full physical replication with periodic index rebalancing. Distinguishing features include its non-diversified structure and focus on the nuclear value chain across developed markets.
The SPDR S&P Metals & Mining ETF (XME) is a passive fund designed to track the S&P Metals and Mining Select Industry Index, which represents the metals and mining segment of the S&P Total Market Index. The index covers sub-industries such as aluminum, copper, diversified metals, gold, silver, steel, and coal. The ETF typically holds around 39 securities using a modified equal-weighted methodology that limits single-stock concentration. Top holdings often feature companies such as Centrus Energy (LEU), Hecla Mining (HL), and Freeport-McMoRan (FCX). Sector exposure centers on basic materials with some energy overlap. It maintains a net expense ratio of 0.35% and uses a sampling strategy for efficient replication alongside regular rebalancing.
Both ETFs operate within natural resources and materials sectors influenced by global energy demand, infrastructure spending, and commodity price cycles. Nuclear power receives support from decarbonization policies and rising electricity needs in data centers and manufacturing, potentially benefiting NLR constituents. Metals and mining face drivers including electric vehicle production, renewable energy infrastructure, and industrial output, which may affect XME holdings. Macroeconomic factors such as interest rate paths, supply chain developments, and regulatory changes in mining and energy continue to shape capital allocation across these themes. Risks include commodity volatility, geopolitical tensions affecting supply, and shifts in government policy toward specific energy sources.
In recent market cycles, NLR has shown sensitivity to nuclear policy announcements and uranium price movements, with performance tied to earnings from utilities and miners. XME has reflected broader metals price trends and industrial activity, often exhibiting volatility linked to economic growth expectations and commodity demand. Relative positioning highlights NLR’s narrower focus potentially leading to higher sector-specific swings, while XME’s equal-weighted construction may moderate concentration effects during rotations within materials sub-sectors. Both have participated in commodity-driven rallies and corrections over recent weeks and months, with positioning influenced by interest rate expectations and global supply dynamics rather than isolated daily moves.
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. Explore opportunities with the AI Screener.
Based on observable structural factors, Tickeron’s AI would currently assign a modest probabilistic preference to NLR due to its concentrated thematic alignment with nuclear energy momentum, despite the higher expense ratio. XME offers cost efficiency and broader diversification that may appeal in different cycles. The edge for NLR stems from sector momentum and diversification profile within its niche, though outcomes remain subject to evolving macro conditions.
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.
| NLR | XME | NLR / XME | |
| Gain YTD | -3.422 | 14.636 | -23% |
| Net Assets | 4.18B | 4.87B | 86% |
| Total Expense Ratio | 0.52 | 0.35 | 149% |
| Turnover | 42.00 | 48.00 | 88% |
| Yield | 2.67 | 0.32 | 847% |
| Fund Existence | 19 years | 20 years | - |
| NLR | XME | |
|---|---|---|
| RSI ODDS (%) | N/A | 4 days ago 81% |
| Stochastic ODDS (%) | 4 days ago 90% | 4 days ago 85% |
| Momentum ODDS (%) | 4 days ago 90% | 4 days ago 84% |
| MACD ODDS (%) | 4 days ago 90% | 4 days ago 83% |
| TrendWeek ODDS (%) | 4 days ago 90% | 4 days ago 86% |
| TrendMonth ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| Advances ODDS (%) | 4 days ago 89% | 28 days ago 90% |
| Declines ODDS (%) | N/A | 7 days ago 87% |
| BollingerBands ODDS (%) | 4 days ago 86% | 4 days ago 90% |
| Aroon ODDS (%) | 4 days ago 90% | 4 days ago 90% |
A.I.dvisor indicates that over the last year, NLR has been closely correlated with SMR. These tickers have moved in lockstep 80% of the time. This A.I.-generated data suggests there is a high statistical probability that if NLR jumps, then SMR could also see price increases.
A.I.dvisor indicates that over the last year, XME has been closely correlated with CDE. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if XME jumps, then CDE could also see price increases.