GET DAILY SIGNALSNLR vs URA: Weighing Two Key Nuclear Energy ETFs
Key Takeaways
- NLR tracks the MVIS Global Uranium & Nuclear Energy Index and spans the entire nuclear value chain — from uranium miners to reactor builders and regulated electric utilities — with roughly 29 holdings.
- URA tracks the Solactive Global Uranium & Nuclear Components Total Return Index and skews heavily toward pure-play uranium miners and physical uranium trusts across more than 55 holdings.
- Cost differs meaningfully: NLR carries a 0.52% net expense ratio, versus 0.69% for URA, giving NLR a durable structural cost advantage.
- Risk profiles diverge sharply — URA concentrates about a quarter of assets in a single miner, while NLR spreads exposure more evenly and adds lower-volatility utility exposure.
- Tickeron AI Verdict: NLR — its lower cost, broader diversification, and balanced value-chain exposure make it the more structurally resilient choice.
Introduction
Nuclear energy has re-entered the mainstream investment conversation as data-center electricity demand, decarbonization targets, and energy-security concerns converge. Investors now have multiple ways to express this theme, and two of the most popular vehicles are the VanEck Uranium and Nuclear ETF (NLR) and the Global X Uranium ETF (URA). Although both funds sit under the uranium-nuclear umbrella, they are not direct substitutes. This ETF comparison examines how their sector exposure, cost structure, and relative positioning differ — and which one a data-driven approach would favor today.
VanEck Uranium and Nuclear ETF (NLR) Overview
NLR is a passively managed, non-diversified ETF that seeks to replicate the MVIS Global Uranium & Nuclear Energy Index. Rather than concentrating solely on miners, the fund spans the full nuclear value chain, holding roughly 29 positions across uranium producers, reactor component manufacturers, and regulated utilities. Its net expense ratio is 0.52%. I also checked this using Tickeron’s AI Screener to see how the holdings compare to peers in the sector.
Top holdings have recently included Cameco (CCJ), Constellation Energy (CEG), Public Service Enterprise Group (PEG), Fortum, BWX Technologies (BWXT), NexGen Energy (NXE), Uranium Energy (UEC), Denison Mines (DNN), and Centrus Energy (LEU). On a sector basis, utilities have represented roughly 30% of assets and industrials around 20%, diluting pure commodity exposure with more stable, cash-generative operators. This structure makes NLR a broader "nuclear infrastructure" play rather than a narrow uranium wager.
Global X Uranium ETF (URA) Overview
URA is also a passively managed, non-diversified ETF, but it tracks the Solactive Global Uranium & Nuclear Components Total Return Index, which tilts toward the mining and physical-uranium segments of the industry. The fund typically holds more than 55 names yet is far more top-heavy than NLR. Its net expense ratio is 0.69%.
Top holdings have recently been dominated by Cameco (CCJ) at more than 20% of assets, followed by the Sprott Physical Uranium Trust, NexGen Energy (NXE), Oklo (OKLO), Uranium Energy (UEC), Kazatomprom, Energy Fuels (UUUU), and Paladin Energy. Sector-wise, energy (miners) has accounted for more than 60% of the portfolio, with industrials around 25% and utilities only a small single-digit slice. This gives URA a higher-beta, more commodity-sensitive profile tied closely to uranium spot prices and miner earnings.
Industry and Thematic Backdrop
Both ETFs are riding a multi-year resurgence in nuclear energy driven by surging electricity demand from artificial intelligence (AI) data centers, government commitments to low-carbon baseload power, and supply constraints in the global uranium market. Utilities are signing long-term power agreements and extending reactor life, while developers advance small modular reactors (SMRs) as a scalable solution. On the supply side, years of underinvestment in mining and enrichment — compounded by geopolitical tensions involving key producers such as Kazatomprom — have kept uranium prices elevated and volatile. The main risks are regulatory shifts, project delays, and the sector's history of sharp sentiment-driven drawdowns, which affect URA's concentrated miner exposure more acutely than NLR's utility-heavy mix.
Performance and Positioning Comparison
In recent market cycles, the two funds have diverged in line with their construction. URA, with its heavy miner and physical-uranium weighting, has tended to amplify both upswings and corrections in uranium prices, producing higher volatility and more pronounced single-name risk. NLR, by contrast, has been cushioned by regulated utilities and diversified reactor-related industrials, resulting in generally more stable fund performance and lower drawdown sensitivity. When the theme cools, URA's ~23% concentration in Cameco and sizable physical-uranium trust exposure magnify downside, whereas NLR's broader base of earnings streams softens the ride. Relative positioning therefore hinges on whether an investor prioritizes maximum commodity beta (URA) or diversified, lower-cost exposure across the nuclear ecosystem (NLR).
Tickeron AI Verdict
Based on observable structural factors, Tickeron's AI would likely favor NLR over URA in the current environment. NLR combines a lower expense ratio (0.52% versus 0.69%), more balanced diversification across miners, reactor builders, and regulated utilities, and meaningfully lower single-name concentration than URA's roughly 23% weight in one miner. While URA may offer greater upside if uranium spot prices rally sharply, its higher volatility and commodity sensitivity imply greater risk of outsized drawdowns. For a risk-adjusted, cost-efficient, and trend-consistent expression of the nuclear theme, NLR's structural profile appears more robust — a probabilistic, not personal, assessment.
Exploring Tickeron’s AI Tools in Practice
In my own analysis of sector ETFs, I frequently rely on Tickeron’s AI Screener to quickly compare holdings, costs, and risk metrics across similar funds. The tool lets me apply filters for industry exposure, volatility, and performance patterns, helping surface insights that might otherwise require hours of manual work. It has become a practical part of evaluating options like these nuclear-themed vehicles without replacing broader due diligence.
Disclaimer
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.
Contributor
Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.
URA's RSI Oscillator climbs out of oversold territory
The RSI Indicator for URA moved out of oversold territory on October 27, 2026. This could be a sign that the stock is shifting from a downward trend to an upward trend. Traders may want to buy the stock or call options. The A.I.dvisor looked at 21 similar instances when the indicator left oversold territory. In 20 of the 21 cases the stock moved higher. This puts the odds of a move higher at 90%.
Technical Analysis (Indicators)
Bullish Trend Analysis
The Moving Average Convergence Divergence (MACD) for URA just turned positive on October 28, 2026. Looking at past instances where URA's MACD turned positive, the stock continued to rise in 38 of 42 cases over the following month. The odds of a continued upward trend are 90%.
Following a +6.37% 3-day Advance, the price is estimated to grow further. Considering data from situations where URA advanced for three days, in 304 of 325 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
URA may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
Bearish Trend Analysis
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In 61 of 64 cases where URA's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are 90%.
The Momentum Indicator moved below the 0 level on October 29, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on URA as a result. In 77 of 85 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 90%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where URA declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 90%.
The Aroon Indicator for URA entered a downward trend on October 28, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
Industry description
Market Cap
High and low price notable news
Volume
Fundamental Analysis Ratings
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Advertisement
General Information
Category NaturalResources
Advertisement