Global X Copper Miners ETF (COPX), Strive Natural Resources and Security ETF (FTWO), and SPDR S&P Global Natural Resources ETF (GNR) represent distinct approaches to natural resources investing. COPX focuses narrowly on copper miners, FTWO blends natural resources with national security themes, and GNR delivers balanced exposure across agriculture, energy, and metals and mining. These exchange-traded funds (ETFs) compete within the broader natural resources and commodities equity space, offering investors tiered options based on thematic tilt, diversification, and cost. In the current environment of energy transition, infrastructure demand, and geopolitical considerations, comparing their structures helps clarify relative positioning for portfolio allocation decisions.
Global X Copper Miners ETF (COPX) seeks to track the Solactive Global Copper Miners Total Return Index. The fund is passively managed with a physical replication strategy and holds approximately 40 securities. Top holdings typically include BHP Group Ltd, Teck Resources Ltd, Hudbay Minerals Inc, Southern Copper Corp, and First Quantum Minerals Ltd. Sector allocation centers almost exclusively on materials, with a heavy emphasis on copper mining operations. The expense ratio stands at 0.65%. Distinguishing features include its pure-play focus on copper producers and semi-annual distributions. The index is market-capitalization weighted and rebalanced periodically to maintain exposure to global copper mining companies.
Strive Natural Resources and Security ETF (FTWO) tracks an index of companies engaged in national security and natural resource security, including fuel, aerospace and defense, agriculture, nuclear, and gold and precious metals. The passively managed fund holds about 51 securities and maintains a 0.49% expense ratio. Representative top holdings often feature Deere & Co, Constellation Energy Corporation, Exxon Mobil Corp, GE Aerospace, and Newmont Corp. Sector exposure spans energy, industrials, materials, and consumer staples. The strategy incorporates corporate governance engagement by the issuer. Distributions occur quarterly, and the index applies market-capitalization weighting with annual or periodic rebalancing.
SPDR S&P Global Natural Resources ETF (GNR) tracks the S&P Global Natural Resources Index, which equally weights three sub-indices covering agriculture, energy, and metals and mining. The passive ETF holds approximately 92 securities with a 0.40% expense ratio. Top holdings commonly include BHP Group Ltd, Nutrien Ltd, Exxon Mobil Corp, Shell Plc, and Newmont Corp. Sector allocation balances energy, materials, and agriculture-related industries on a global basis. The fund employs a sampling strategy for index replication and caps individual security weights at 5%. Distributions are paid semi-annually, and the index rebalances annually to maintain equal sub-sector weights.
The natural resources sector encompasses energy production, metals and mining, agriculture, and related supply chains that support global infrastructure, electrification, and food security. Macroeconomic drivers include demand from renewable energy projects, electric vehicle manufacturing, and data center expansion, alongside supply constraints from geopolitical tensions and regulatory changes. Capital flows have favored producers with strong balance sheets and exposure to critical minerals. Earnings trends among major holdings reflect commodity price volatility and operational efficiency improvements. Geopolitical influences, such as trade policies and resource nationalism, add complexity to supply chains. Sector risks encompass commodity price fluctuations, environmental regulations, and shifts in global trade dynamics that affect all three ETFs through their underlying holdings.
In recent market cycles, performance differences among Global X Copper Miners ETF (COPX), Strive Natural Resources and Security ETF (FTWO), and SPDR S&P Global Natural Resources ETF (GNR) have stemmed from varying exposure concentrations and sensitivity to commodity prices. COPX has shown higher volatility due to its narrow copper focus, experiencing sharper drawdowns during periods of metal price weakness and stronger rebounds on demand surges. FTWO and GNR have demonstrated more stable trend consistency through broader diversification across energy, agriculture, and defense-related holdings. Relative positioning highlights COPX’s greater sensitivity to copper-specific macro factors, while GNR’s equal sub-sector weighting and FTWO’s security tilt have contributed to moderated volatility and different responses to inflation or growth environments in recent months.
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 COPX, FTWO, or GNR may find the platform useful for refining their research process.
Based on observable structural strength, Tickeron’s AI would likely assign a higher probability of favorable positioning to SPDR S&P Global Natural Resources ETF (GNR) due to its lowest expense ratio, broadest diversification across natural resources sub-sectors, and balanced risk-adjusted profile. Global X Copper Miners ETF (COPX) offers targeted thematic exposure but at higher cost and concentration, while Strive Natural Resources and Security ETF (FTWO) provides unique security-related diversification at a moderate expense level. The assessment remains probabilistic and depends on evolving market conditions and investor objectives.
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.
| COPX | FTWO | GNR | |
| Gain YTD | 21.990 | 13.704 | 25.740 |
| Net Assets | 7.38B | 77.5M | 5.27B |
| Total Expense Ratio | 0.65 | 0.49 | 0.40 |
| Turnover | 21.67 | 23.00 | 15.00 |
| Yield | 2.07 | 0.86 | 2.34 |
| Fund Existence | 16 years | 3 years | 16 years |
| COPX | FTWO | GNR | |
|---|---|---|---|
| RSI ODDS (%) | 4 days ago 90% | 4 days ago 74% | 4 days ago 90% |
| Stochastic ODDS (%) | 4 days ago 90% | 4 days ago 90% | 4 days ago 87% |
| Momentum ODDS (%) | 4 days ago 89% | 4 days ago 70% | 4 days ago 77% |
| MACD ODDS (%) | 4 days ago 90% | 4 days ago 61% | 4 days ago 80% |
| TrendWeek ODDS (%) | 4 days ago 87% | 4 days ago 71% | 4 days ago 79% |
| TrendMonth ODDS (%) | 4 days ago 90% | 4 days ago 75% | 4 days ago 84% |
| Advances ODDS (%) | 4 days ago 90% | 19 days ago 90% | 13 days ago 83% |
| Declines ODDS (%) | 6 days ago 88% | 8 days ago 74% | 25 days ago 79% |
| BollingerBands ODDS (%) | 4 days ago 90% | 4 days ago 90% | 4 days ago 87% |
| Aroon ODDS (%) | 4 days ago 90% | 4 days ago 90% | 4 days ago 87% |
A.I.dvisor indicates that over the last year, COPX has been closely correlated with BHP. These tickers have moved in lockstep 84% 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% | +0.77% | ||
| BHP - COPX | 84% Closely correlated | -0.34% | ||
| WDS - COPX | 57% Loosely correlated | -1.86% | ||
| NEXA - COPX | 30% Poorly correlated | +0.70% | ||
| TKO - COPX | 13% Poorly correlated | -0.02% | ||
| MTAL - COPX | -2% Poorly correlated | +0.10% | ||
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A.I.dvisor indicates that over the last year, FTWO has been closely correlated with NEM. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if FTWO jumps, then NEM could also see price increases.
| Ticker / NAME | Correlation To FTWO | 1D Price Change % | ||
|---|---|---|---|---|
| FTWO | 100% | -0.88% | ||
| NEM - FTWO | 75% Closely correlated | -0.79% | ||
| WPM - FTWO | 74% Closely correlated | -0.78% | ||
| AEM - FTWO | 74% Closely correlated | -0.93% | ||
| RGLD - FTWO | 73% Closely correlated | -0.72% | ||
| FNV - FTWO | 72% Closely correlated | -0.25% | ||
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A.I.dvisor indicates that over the last year, GNR has been closely correlated with RIO. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if GNR jumps, then RIO could also see price increases.