These three ETFs target the precious metals mining sector, yet they represent distinct approaches to the same broad theme. GDX focuses on gold miners, while SIL and SLVP emphasize silver mining with varying degrees of related metals exposure. They compete within the materials sector by offering investors different risk exposures and diversification levels to gold and silver price movements. The comparison highlights structural variations in index methodology, holdings concentration, and expense ratios that influence long-term positioning across market cycles.
GDX tracks the MarketVector Global Gold Miners Index, seeking to replicate the performance of companies involved in gold mining before fees and expenses. The fund holds approximately 50-60 securities, with top holdings typically including major producers such as Newmont and Agnico Eagle Mines. Sector allocation centers on metals and mining, with geographic exposure weighted toward Canada, the United States, and Australia. The expense ratio stands at 0.51%. As a passive, market-capitalization-weighted ETF, it rebalances periodically to maintain alignment with the underlying index, providing broad diversification within the gold mining industry.
SIL seeks to track the Solactive Global Silver Miners Total Return Index, delivering exposure to global companies primarily engaged in silver mining. It maintains 39 holdings, concentrated in silver-focused producers with top positions in firms such as Hecla Mining and First Majestic Silver. Allocation remains within metals and mining, with significant weighting to Canada and Mexico. The expense ratio is 0.65%. This passive ETF employs semi-annual reconstitution and rebalancing, resulting in a more concentrated thematic play on silver compared to broader precious metals vehicles.
SLVP tracks the MSCI ACWI Select Silver Miners Investable Market Index, targeting global companies primarily involved in silver mining and related metals activities. The fund typically holds 36-42 securities, with notable positions in Hecla Mining, Industrias Penoles, and Fresnillo. Sector exposure focuses on metals and mining, with geographic emphasis on Canada, the United States, and Mexico. Its expense ratio is 0.39%, the lowest among the three. As a passive, market-cap-weighted product, it rebalances according to index rules to reflect evolving market capitalizations within the silver and metals miners universe.
The precious metals mining sector responds to macroeconomic drivers including inflation trends, interest rate expectations, and industrial demand for silver in solar and electronics applications. Capital flows into gold and silver miners often intensify during periods of geopolitical uncertainty or currency volatility. Regulatory developments around mining permits and environmental standards influence operational costs across major producers. Earnings trends among holdings reflect commodity price cycles, with silver miners showing greater sensitivity to industrial usage growth. Sector risks encompass supply disruptions, labor issues, and shifts in global trade policies affecting emerging market operations.
In recent market cycles, performance differences have stemmed from commodity emphasis and concentration levels. GDX has demonstrated more stable trend consistency due to its broader gold-focused diversification, potentially mitigating drawdowns during silver-specific volatility. SIL and SLVP, with heavier silver tilts, have exhibited greater sensitivity to industrial demand fluctuations and higher relative volatility in recent months. Concentration risk appears elevated in the silver-focused ETFs, where top holdings represent larger portfolio weights. Macro factor sensitivity varies, with gold exposure in GDX providing a hedge against certain equity market declines, while silver allocations in SIL and SLVP align more closely with economic expansion themes.
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 sector exposures like those in GDX, SIL, and SLVP may find the platform useful for refining their analysis.
Based on observable structural characteristics, SLVP demonstrates relative advantages in cost efficiency and balanced exposure within the silver and metals miners theme, supporting a probabilistic preference in risk-adjusted positioning. GDX offers stronger diversification for broader precious metals allocation, while SIL provides a more concentrated silver play at a higher cost. The AI assessment prioritizes diversification depth and expense ratios as durable factors influencing long-term suitability across varying market environments.
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.
GDX saw its Moving Average Convergence Divergence Histogram (MACD) turn negative on October 22, 2026. This is a bearish signal that suggests the stock could decline going forward. Tickeron's A.I.dvisor looked at 49 instances where the indicator turned negative. In 45 of the 49 cases the stock moved lower in the days that followed. This puts the odds of a downward move at 90%.
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In 51 of 62 cases where GDX's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are 82%.
The Momentum Indicator moved below the 0 level on October 22, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on GDX as a result. In 70 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 90%.
GDX 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 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 11 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 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 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 +5.17% 3-day Advance, the price is estimated to grow further. Considering data from situations where GDX advanced for three days, in 292 of 319 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 Aroon Indicator for SIL entered a downward trend on October 22, 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 entered the oversold zone -- be on the watch for SIL'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.
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.
The 10-day moving average for SLVP 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 13 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%.
SLVP 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.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SLVP 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 87%.
The Aroon Indicator for SLVP 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 SLVP'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.
The 50-day moving average for SLVP moved above the 200-day moving average on September 30, 2026. This could be a long-term bullish signal for the stock as the stock shifts to an upward trend.
Following a +4.76% 3-day Advance, the price is estimated to grow further. Considering data from situations where SLVP advanced for three days, in 287 of 310 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
SLVP may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
| GDX | SIL | SLVP | |
|---|---|---|---|
| RSI ODDS (%) | N/A | 1 day ago 89% | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 82% | 1 day ago 90% | 1 day ago 90% |
| Momentum ODDS (%) | 1 day ago 90% | N/A | N/A |
| MACD ODDS (%) | 1 day ago 90% | N/A | N/A |
| TrendWeek ODDS (%) | 1 day ago 86% | 1 day ago 87% | 1 day ago 88% |
| TrendMonth ODDS (%) | 1 day ago 86% | 1 day ago 88% | 1 day ago 88% |
| Advances ODDS (%) | 7 days ago 90% | 7 days ago 90% | 7 days ago 90% |
| Declines ODDS (%) | 3 days ago 88% | 3 days ago 86% | 3 days ago 87% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 89% | 1 day ago 88% | 1 day ago 88% |
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, 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% | -6.65% | ||
| PAAS - SIL | 95% Closely correlated | -5.91% | ||
| WPM - SIL | 95% Closely correlated | -6.54% | ||
| CDE - SIL | 91% Closely correlated | -8.26% | ||
| OR - SIL | 90% Closely correlated | -4.25% | ||
| VZLA - SIL | 82% Closely correlated | -5.06% | ||
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A.I.dvisor indicates that over the last year, SLVP 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 SLVP jumps, then PAAS could also see price increases.
| Ticker / NAME | Correlation To SLVP | 1D Price Change % | ||
|---|---|---|---|---|
| SLVP | 100% | -6.54% | ||
| PAAS - SLVP | 94% Closely correlated | -5.91% | ||
| WPM - SLVP | 93% Closely correlated | -6.54% | ||
| AEM - SLVP | 91% Closely correlated | -5.98% | ||
| NEM - SLVP | 90% Closely correlated | -2.62% | ||
| CDE - SLVP | 90% Closely correlated | -8.26% | ||
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