Global X Gold Explorers ETF (GOEX) and Global X Silver Miners ETF (SIL) both provide targeted equity exposure to precious metals mining but pursue different segments of the value chain. GOEX emphasizes companies engaged in gold exploration and development, while SIL concentrates on silver mining operations. These ETFs do not compete directly but serve as complementary or alternative vehicles for investors seeking commodity-linked equity returns within the broader materials sector. The comparison highlights structural distinctions that influence risk, diversification, and responsiveness to gold and silver market cycles.
Global X Gold Explorers ETF (GOEX) seeks to track the Solactive Global Gold Explorers & Developers Total Return Index. The fund is passively managed and holds 51 securities focused on firms primarily involved in identifying and advancing gold deposits prior to production decisions. Top holdings typically include junior gold explorers and developers with geographic diversification across Canada, Australia, and emerging markets. Sector allocation is concentrated in materials, specifically gold mining-related activities. The expense ratio stands at 0.65%, and the ETF employs a market-capitalization weighting methodology with semi-annual rebalancing. Distinguishing features include its emphasis on pre-production assets, which differentiates it from broader gold equity funds and introduces elevated operational and geological risks.
Global X Silver Miners ETF (SIL) seeks to track the Solactive Global Silver Miners Total Return Index. The fund is passively managed and holds 39 securities representing companies engaged in silver mining, exploration, and related activities. Top holdings generally feature established silver producers with operations in Mexico, Peru, and other key regions. Sector allocation centers on materials with a focus on silver mining. The expense ratio is 0.65%, and the ETF uses market-capitalization weighting with semi-annual reconstitution and rebalancing. Key characteristics include exposure to silver’s dual role as a monetary metal and industrial input, resulting in a holdings profile that is typically more mature than pure exploration vehicles.
The precious metals mining sector operates within an environment shaped by gold and silver price movements, central bank policies, inflation expectations, and industrial demand trends. Silver benefits from applications in solar energy, electronics, and electric vehicles, creating additional demand drivers beyond investment flows. Gold exploration faces challenges related to permitting, capital access, and discovery success rates. Recent market cycles have reflected sensitivity to interest rate expectations and geopolitical developments, with capital flows favoring producers over explorers during periods of elevated volatility. Regulatory developments around mining permits and environmental standards continue to influence project timelines across both gold and silver segments.
In recent market cycles, Global X Gold Explorers ETF (GOEX) has exhibited greater volatility due to its focus on development-stage companies, which are more sensitive to financing conditions and exploration results. Global X Silver Miners ETF (SIL) has shown relatively steadier behavior tied to established production profiles and silver’s industrial demand component. Relative positioning reflects differences in commodity beta, with GOEX more directly linked to gold price movements and SIL influenced by both precious metals trends and broader economic activity. Sector rotation toward materials during commodity upswings has historically affected both funds, though GOEX’s earlier-stage holdings amplify upside and downside moves compared to SIL’s more diversified mining base.
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 ETFs such as Global X Gold Explorers ETF (GOEX) and Global X Silver Miners ETF (SIL) may find the platform useful for refining their research process.
Based on structural strength, cost efficiency, and diversification profile, Tickeron’s AI would currently assign a modest probabilistic edge to Global X Silver Miners ETF (SIL). The fund’s larger scale, tighter liquidity metrics, and exposure to established producers with industrial demand linkages provide a more balanced risk exposure relative to Global X Gold Explorers ETF (GOEX)’s higher-volatility exploration focus. Trend consistency and sector momentum considerations further support this relative positioning within the current precious metals environment.
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.
It is expected that a price bounce should occur soon.
The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 1 day, which means it's wise to expect a price bounce in the near future.
The 50-day moving average for GOEX moved above the 200-day moving average on September 28, 2026. This could be a long-term bullish signal for the stock as the stock shifts to an upward trend.
Following a +0.44% 3-day Advance, the price is estimated to grow further. Considering data from situations where GOEX advanced for three days, in 276 of 310 cases, the price rose further within the following month. The odds of a continued upward trend are 89%.
GOEX may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
GOEX moved below its 50-day moving average on September 28, 2026 date and that indicates a change from an upward trend to a downward trend.
The 10-day moving average for GOEX crossed bearishly below the 50-day moving average on October 05, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 14 of 14 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following 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 GOEX 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 84%.
The Aroon Indicator for GOEX entered a downward trend on October 23, 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.
The Aroon Indicator for SIL entered a downward trend on October 23, 2026. Tickeron's A.I.dvisor identified a pattern where the AroonDown red line was above 70 while the AroonUp green line was below 30 for three straight days. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options. A.I.dvisor looked at 150 similar instances where the Aroon Indicator formed such a pattern. In 132 of the 150 cases the stock moved lower. This puts the odds of a downward move at 88%.
SIL moved below its 50-day moving average on September 28, 2026 date and that indicates a change from an upward trend to a downward trend.
The 10-day moving average for SIL crossed bearishly below the 50-day moving average on October 02, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 12 of 14 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 86%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SIL 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 86%.
The RSI Indicator demonstrates that the ticker has stayed in the oversold zone for 1 day, which means it's wise to expect a price bounce in the near future.
The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 1 day, which means it's wise to expect a price bounce in the near future.
The 50-day moving average for SIL moved above the 200-day moving average on October 07, 2026. This could be a long-term bullish signal for the stock as the stock shifts to an upward trend.
Following a +3.73% 3-day Advance, the price is estimated to grow further. Considering data from situations where SIL advanced for three days, in 296 of 321 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
SIL may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
| GOEX | SIL | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Momentum ODDS (%) | N/A | N/A |
| MACD ODDS (%) | N/A | N/A |
| TrendWeek ODDS (%) | 1 day ago 85% | 1 day ago 87% |
| TrendMonth ODDS (%) | 1 day ago 84% | 1 day ago 88% |
| Advances ODDS (%) | 4 days ago 89% | 9 days ago 90% |
| Declines ODDS (%) | 1 day ago 84% | 1 day ago 86% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 83% | 1 day ago 88% |
A.I.dvisor indicates that over the last year, GOEX has been closely correlated with DRD. These tickers have moved in lockstep 83% of the time. This A.I.-generated data suggests there is a high statistical probability that if GOEX jumps, then DRD could also see price increases.
| Ticker / NAME | Correlation To GOEX | 1D Price Change % | ||
|---|---|---|---|---|
| GOEX | 100% | -2.39% | ||
| DRD - GOEX | 83% Closely correlated | -1.56% | ||
| EMR - GOEX | 46% Loosely correlated | +0.81% | ||
| OSK - GOEX | 37% Loosely correlated | -1.93% | ||
| SSRM - GOEX | 14% Poorly correlated | -2.81% | ||
| AUGO - GOEX | 10% Poorly correlated | -0.61% | ||
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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% | -2.54% | ||
| PAAS - SIL | 95% Closely correlated | -2.24% | ||
| WPM - SIL | 95% Closely correlated | -2.14% | ||
| CDE - SIL | 91% Closely correlated | -3.10% | ||
| OR - SIL | 90% Closely correlated | -1.44% | ||
| VZLA - SIL | 82% Closely correlated | -3.13% | ||
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| Tradr 2X Long MCHP Daily ETF (MCHU) | |||