Investors seeking precious metals exposure often compare specialized equity ETFs like GOEX and SILJ. These funds do not compete directly as identical products; instead, they deliver differentiated strategies within the mining sector. GOEX emphasizes gold exploration, while SILJ targets junior silver miners. This comparison highlights structural distinctions in index methodology, holdings concentration, and thematic focus, helping investors align selections with goals for gold versus silver leverage amid fluctuating commodity dynamics and economic conditions.
The Global X Gold Explorers ETF (GOEX) seeks to track the Solactive Global Gold Explorers & Developers Total Return Index. This passive strategy focuses on companies primarily engaged in gold exploration and project development. The fund holds 51 securities, with top positions typically including established names such as Equinox Gold, Hecla Mining, and Coeur Mining. Allocations concentrate in basic materials, specifically metals and mining. The expense ratio stands at 0.65%. As an open-end ETF listed on NYSE Arca, it rebalances according to index rules, emphasizing smaller and mid-sized gold-focused firms across regions including Canada and Australia. This structure provides targeted access to upstream gold activities without direct commodity futures exposure.
The Amplify Junior Silver Miners ETF (SILJ) aims to replicate the Nasdaq Junior Silver Miners Index. This passive, thematic approach invests in companies deriving the majority of revenue from silver mining, production, or related exploration. The fund maintains approximately 68 holdings, with leading positions in Hecla Mining, First Majestic Silver, and Coeur Mining. Sector exposure remains 100% in metals and mining. The expense ratio is 0.69%. Rebalancing occurs quarterly on a market-cap thematic basis. Listed on NYSE Arca, SILJ offers geographic diversification across Canada, the United States, and other regions, with emphasis on junior and mid-cap silver equities. It serves as a pure-play vehicle for silver sector participation.
Both ETFs operate within the precious metals mining industry, influenced by gold and silver price trends, global industrial demand, and macroeconomic factors. Silver benefits from expanding applications in solar energy, electronics, and electric vehicles, while gold retains its role as a store of value during uncertainty. Capital flows into mining equities respond to interest rate expectations, inflation data, and geopolitical developments. Regulatory shifts in mining jurisdictions and supply constraints from major producers add volatility. The sector remains sensitive to broader equity rotations and commodity cycles, with junior miners exhibiting higher operational leverage than senior producers.
In recent market cycles, GOEX has shown sensitivity to gold price movements and exploration success announcements, resulting in periods of elevated volatility tied to early-stage project developments. SILJ has reflected silver demand drivers, including industrial usage growth, alongside monetary factors, often displaying distinct momentum during silver rallies. Relative positioning highlights GOEX’s narrower gold focus potentially offering steadier exposure in gold-centric environments, whereas SILJ’s larger asset base supports tighter spreads and broader participation in silver-themed rotations. Both funds exhibit correlation to commodity trends but diverge in response to sector-specific catalysts such as production data or merger activity.
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 the AI Screener to uncover additional opportunities aligned with your strategy.
Based on observable structural factors including lower expense ratio, focused diversification within gold exploration, and efficient indexing, Tickeron’s AI would currently assign a modestly higher probability of preference to Global X Gold Explorers ETF (GOEX) for investors prioritizing cost efficiency and thematic precision in precious metals exposure.
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The RSI Oscillator for GOEX moved into overbought territory on October 22, 2026. Be on the watch for a price drop or consolidation in the future -- when this happens, think about selling the stock or exploring put options.
The Stochastic Oscillator is in the oversold zone. Keep an eye out for a move up in the foreseeable 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 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 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 22, 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.
SILJ 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. In 35 of 36 similar past instances, the stock price decreased further within the following month. The odds of a continued downward trend are 90%.
The 10-day moving average for SILJ crossed bearishly below the 50-day moving average on September 30, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 14 of 15 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 SILJ 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 89%.
The Aroon Indicator for SILJ entered a downward trend on October 22, 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 RSI Indicator entered the oversold zone -- be on the watch for SILJ's price rising or consolidating in the future. That's also the time to consider buying the stock or exploring call options.
The Stochastic Oscillator is in the oversold zone. Keep an eye out for a move up in the foreseeable future.
Following a +3.72% 3-day Advance, the price is estimated to grow further. Considering data from situations where SILJ advanced for three days, in 282 of 308 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
SILJ may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
| GOEX | SILJ | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | N/A | N/A |
| MACD ODDS (%) | N/A | N/A |
| TrendWeek ODDS (%) | 2 days ago 85% | 2 days ago 89% |
| TrendMonth ODDS (%) | 2 days ago 84% | 2 days ago 90% |
| Advances ODDS (%) | 3 days ago 89% | 8 days ago 90% |
| Declines ODDS (%) | 5 days ago 84% | 4 days ago 89% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 83% | 2 days ago 90% |
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% | -6.34% | ||
| DRD - GOEX | 83% Closely correlated | -6.02% | ||
| EMR - GOEX | 46% Loosely correlated | -1.73% | ||
| OSK - GOEX | 37% Loosely correlated | -0.91% | ||
| SSRM - GOEX | 14% Poorly correlated | -7.18% | ||
| AUGO - GOEX | 10% Poorly correlated | -7.93% | ||
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A.I.dvisor indicates that over the last year, SILJ has been closely correlated with PAAS. These tickers have moved in lockstep 94% of the time. This A.I.-generated data suggests there is a high statistical probability that if SILJ jumps, then PAAS could also see price increases.
| Ticker / NAME | Correlation To SILJ | 1D Price Change % | ||
|---|---|---|---|---|
| SILJ | 100% | -7.04% | ||
| PAAS - SILJ | 94% Closely correlated | -5.91% | ||
| WPM - SILJ | 92% Closely correlated | -6.54% | ||
| CDE - SILJ | 92% Closely correlated | -8.26% | ||
| SKE - SILJ | 90% Closely correlated | -9.25% | ||
| OR - SILJ | 89% Closely correlated | -4.25% | ||
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