Investors seeking precious metals exposure often compare gold and silver mining equities through specialized ETFs. VanEck Gold Miners ETF (GDX) and Amplify Junior Silver Miners ETF (SILJ) do not compete directly but serve as complementary or alternative options within the materials sector. GDX delivers established gold mining exposure, while SILJ emphasizes smaller silver producers and explorers. The comparison highlights differences in risk, cost, and thematic positioning amid ongoing interest in commodity-linked equities during varying macroeconomic conditions.
GDX seeks to replicate the performance of the MarketVector Global Gold Miners Index before fees and expenses. The fund holds approximately 50–60 securities, with top positions typically including large producers such as Newmont Corporation and Agnico Eagle Mines Limited. Sector allocation centers on materials, specifically gold mining companies that derive substantial revenue from gold production. The expense ratio stands at 0.51%. As a passive, market-cap-weighted ETF, it rebalances quarterly. Distinguishing features include high liquidity, global diversification across developed and emerging markets, and a focus on senior gold miners rather than juniors.
SILJ tracks the Nasdaq Junior Silver Miners Index, investing at least 80% of assets in companies primarily engaged in silver mining, exploration, or related activities. The ETF typically holds 50–60 securities, with significant weight in junior producers such as Hecla Mining Company and First Majestic Silver Corp. Allocations remain concentrated in the materials sector with a silver emphasis. The expense ratio is 0.69%. This passive, tiered market-cap-weighted vehicle rebalances quarterly. Key characteristics include targeted exposure to smaller-capitalization silver miners, higher potential volatility, and a thematic tilt toward silver price sensitivity.
The precious metals mining sector responds to gold and silver price trends, influenced by inflation expectations, interest rate movements, geopolitical tensions, and industrial demand for silver. Gold miners in GDX benefit from safe-haven flows during uncertainty, while junior silver names in SILJ face amplified effects from exploration costs, permitting delays, and operational leverage. Capital flows into mining equities often accelerate during commodity upcycles, though regulatory scrutiny on environmental practices and labor issues in key regions such as Canada, Australia, and Latin America remains a persistent factor. Both ETFs operate within a cyclical industry where earnings correlate closely with underlying metal prices over extended periods.
In recent market cycles, GDX has demonstrated relatively lower volatility than SILJ due to its emphasis on larger, more established gold producers with diversified operations. SILJ’s junior silver focus has historically produced sharper swings tied to silver price momentum and company-specific execution risks. During periods of rising precious metals prices, both funds have participated in sector rotation toward materials, though SILJ’s smaller-cap orientation often amplifies upside and downside moves. Positioning differences appear in interest-rate sensitivity, with gold miners showing more resilience in certain macro environments, while silver juniors respond more directly to industrial and photovoltaic demand shifts. Relative performance has varied with commodity trends and broader equity market sentiment in recent weeks and 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 sector exposure or relative positioning may find the platform useful for refining ETF selection.
Based on structural strength, cost efficiency, and diversification profile, Tickeron’s AI would currently assign a higher probability of favor to GDX. The lower expense ratio, larger number of holdings, and established liquidity characteristics provide a more balanced risk exposure within the precious metals mining theme compared to SILJ’s higher-cost, junior-focused concentration. Trend consistency and sector momentum factors also tilt the probabilistic assessment toward the gold miners ETF in the current 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.
Be on the lookout for a price bounce soon.
The 50-day moving average for GDX moved above the 200-day moving average on October 01, 2026. This could be a long-term bullish signal for the stock as the stock shifts to an upward trend.
Following a +3.62% 3-day Advance, the price is estimated to grow further. Considering data from situations where GDX advanced for three days, in 290 of 317 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
GDX may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
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 GDX as a result. In 65 of 78 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 83%.
The Moving Average Convergence Divergence Histogram (MACD) for GDX turned negative on October 22, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 49 similar instances when the indicator turned negative. In 45 of the 49 cases the stock turned lower in the days that followed. This puts the odds of success at 90%.
The 10-day moving average for GDX 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 12 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 GDX 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 88%.
The Aroon Indicator for GDX entered a downward trend on November 03, 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 for SILJ moved into overbought territory on November 03, 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 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.
Following a +5.19% 3-day Advance, the price is estimated to grow further. Considering data from situations where SILJ advanced for three days, in 281 of 307 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.
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 13 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 87%.
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 88%.
The Aroon Indicator for SILJ entered a downward trend on November 03, 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.
| GDX | SILJ | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 83% | N/A |
| MACD ODDS (%) | 2 days ago 90% | N/A |
| TrendWeek ODDS (%) | 2 days ago 86% | 2 days ago 89% |
| TrendMonth ODDS (%) | 2 days ago 86% | 2 days ago 90% |
| Advances ODDS (%) | 8 days ago 90% | 8 days ago 90% |
| Declines ODDS (%) | 6 days ago 88% | 6 days ago 88% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 89% | 2 days ago 90% |
A.I.dvisor indicates that over the last year, GDX has been closely correlated with WPM. These tickers have moved in lockstep 96% of the time. This A.I.-generated data suggests there is a high statistical probability that if GDX jumps, then WPM could also see price increases.
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% | -1.67% | ||
| PAAS - SILJ | 94% Closely correlated | -1.62% | ||
| WPM - SILJ | 92% Closely correlated | -1.45% | ||
| CDE - SILJ | 92% Closely correlated | +0.68% | ||
| SKE - SILJ | 90% Closely correlated | -1.32% | ||
| OR - SILJ | 88% Closely correlated | -1.89% | ||
More | ||||
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