Global X Gold Explorers ETF (GOEX) and Global X Silver Miners ETF (SIL) serve investors seeking equity exposure within the precious metals sector. They do not compete directly as identical products but instead provide differentiated strategies targeting gold exploration versus silver mining activities. Both ETFs appeal to those pursuing commodity-linked growth or inflation-hedging opportunities through equity vehicles rather than physical metals. In the current environment of evolving industrial demand and monetary policy shifts, these funds represent complementary or alternative approaches within the same broad thematic space.
Global X Gold Explorers ETF (GOEX) seeks to track the Solactive Global Gold Explorers & Developers Total Return Index. The fund invests at least 80% of its assets in securities of the index, which focuses on global companies engaged in gold exploration and development. It holds approximately 52 securities and maintains a passive management style with physical replication. Top holdings typically include Hecla Mining Co., DPM Metals Inc., Coeur Mining Inc., Eldorado Gold Corp., and Lundin Gold Inc. Sector allocation centers almost entirely on materials, specifically metals and mining. The expense ratio stands at 0.65%, with semi-annual distributions. Distinguishing features include its emphasis on smaller and mid-cap exploration firms that may offer higher growth potential tied to new deposit discoveries.
Global X Silver Miners ETF (SIL) seeks to track the Solactive Global Silver Miners Total Return Index. The fund invests at least 80% of its assets in securities of companies involved in silver mining, including exploration, production, and related activities. It holds approximately 40 securities and follows a passive strategy with physical replication. Top holdings commonly feature Wheaton Precious Metals Corp., Pan American Silver Corp., Coeur Mining Inc., Hecla Mining Co., and similar producers. Allocation remains heavily weighted toward the materials sector. The expense ratio is 0.65%, with semi-annual distributions. Key characteristics include greater concentration in established silver miners and streaming companies, alongside larger overall fund scale that supports tighter bid-ask spreads.
The precious metals mining sector encompasses gold and silver producers whose performance ties closely to underlying commodity prices, global economic conditions, and supply dynamics. Gold exploration companies in funds such as Global X Gold Explorers ETF (GOEX) benefit from rising metal prices and successful project development, while silver miners in Global X Silver Miners ETF (SIL) gain additional support from industrial applications in solar energy, electronics, and electric vehicles. Macro drivers include inflation expectations, central bank policies, geopolitical tensions, and shifts in mining capital expenditure. Regulatory developments around permitting and environmental standards, along with capital flows into commodities, continue to influence both segments. Risks encompass commodity price volatility, operational challenges at mining sites, and sensitivity to broader equity market rotations.
In recent market cycles, both ETFs have demonstrated sensitivity to precious metals price movements and sector rotation patterns. Global X Gold Explorers ETF (GOEX) tends to exhibit higher volatility due to its focus on exploration-stage companies, which can amplify gains during gold rallies but also increase downside risk during corrections. Global X Silver Miners ETF (SIL) often shows somewhat more stable behavior linked to its holdings in larger producers and industrial demand components of silver. Relative positioning reflects differences in commodity exposure, with gold-dominant strategies responding more directly to monetary policy signals and silver strategies incorporating additional industrial usage trends. Both have navigated earnings cycles of top holdings and broader macroeconomic shifts without reliance on short-term price fluctuations.
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 such as Global X Gold Explorers ETF (GOEX) or Global X Silver Miners ETF (SIL) may benefit from exploring these capabilities.
Based on observable structural factors, Tickeron’s AI would currently assign a modestly higher probability of favor to Global X Silver Miners ETF (SIL). The assessment rests on its larger scale supporting improved liquidity, a holdings profile that balances silver mining with industrial demand exposure, and comparable cost efficiency alongside broader diversification within the precious metals space. Global X Gold Explorers ETF (GOEX) remains competitive for investors prioritizing specialized gold exploration themes, though its smaller size and higher concentration in early-stage assets introduce incrementally elevated risk considerations.
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.
| GOEX | SIL | GOEX / SIL | |
| Gain YTD | 12.341 | 15.533 | 79% |
| Net Assets | 133M | 5.12B | 3% |
| Total Expense Ratio | 0.65 | 0.65 | 100% |
| Turnover | 27.01 | 27.57 | 98% |
| Yield | 1.90 | 1.04 | 184% |
| Fund Existence | 16 years | 16 years | - |
| GOEX | SIL | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 89% |
| Stochastic ODDS (%) | 2 days ago 82% | 2 days ago 82% |
| Momentum ODDS (%) | 2 days ago 77% | 2 days ago 84% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 87% |
| TrendWeek ODDS (%) | 2 days ago 85% | 2 days ago 87% |
| TrendMonth ODDS (%) | 2 days ago 89% | 2 days ago 90% |
| Advances ODDS (%) | 10 days ago 90% | 10 days ago 90% |
| Declines ODDS (%) | 5 days ago 84% | 5 days ago 86% |
| BollingerBands ODDS (%) | N/A | N/A |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 87% |
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A.I.dvisor indicates that over the last year, GOEX has been closely correlated with EQX. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if GOEX jumps, then EQX could also see price increases.
| Ticker / NAME | Correlation To GOEX | 1D Price Change % | ||
|---|---|---|---|---|
| GOEX | 100% | +0.31% | ||
| EQX - GOEX | 85% Closely correlated | +1.64% | ||
| AGI - GOEX | 84% Closely correlated | +0.70% | ||
| DRD - GOEX | 83% Closely correlated | +1.66% | ||
| SKE - GOEX | 81% Closely correlated | +1.54% | ||
| OGC - GOEX | 81% Closely correlated | +0.60% | ||
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A.I.dvisor indicates that over the last year, SIL has been closely correlated with PAAS. These tickers have moved in lockstep 95% of the time. This A.I.-generated data suggests there is a high statistical probability that if SIL jumps, then PAAS could also see price increases.
| Ticker / NAME | Correlation To SIL | 1D Price Change % | ||
|---|---|---|---|---|
| SIL | 100% | +0.17% | ||
| PAAS - SIL | 95% Closely correlated | -0.61% | ||
| WPM - SIL | 94% Closely correlated | +2.08% | ||
| CDE - SIL | 91% Closely correlated | +1.18% | ||
| OR - SIL | 89% Closely correlated | +0.53% | ||
| VZLA - SIL | 82% Closely correlated | -0.75% | ||
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