Investors seeking precious metals exposure often compare equity-based exchange-traded funds (ETFs) that track mining companies rather than physical bullion. GDXJ and SLVP both target the mining sector but differ in focus, with one centered on junior gold and silver producers and the other on global silver and metals miners. These ETFs serve as alternatives within the same broad theme, allowing investors to evaluate trade-offs in diversification, cost, and thematic tilt when constructing portfolios sensitive to commodity price movements and sector dynamics.
GDXJ is a passively managed ETF that seeks to replicate the performance of the MVIS Global Junior Gold Miners Index before fees and expenses. The index targets small-capitalization companies primarily engaged in gold and silver mining. The fund typically holds around 162 securities, providing diversified exposure across junior miners in regions such as Canada, the United States, and Australia. Top holdings often include companies like Alamos Gold, Coeur Mining, and IAMGOLD. Sector allocation concentrates almost entirely in basic materials, specifically metals and mining. GDXJ carries a net expense ratio of 0.52% and employs a market-capitalization weighting methodology with periodic rebalancing to maintain index alignment. Its structure emphasizes earlier-stage operations that may exhibit higher sensitivity to gold and silver price fluctuations.
SLVP is a passively managed ETF designed to track the MSCI ACWI Select Silver Miners Investable Market Index. The index focuses on companies deriving the majority of revenues from silver mining, with additional exposure to related metals. The fund holds approximately 36 securities, resulting in a more concentrated portfolio. Top holdings frequently feature Hecla Mining, Industrias Peñoles, and First Majestic Silver. Allocation remains heavily weighted toward metals and mining within basic materials. SLVP maintains a net expense ratio of 0.39% and uses a market-capitalization approach with rebalancing aligned to the underlying index. Its emphasis on silver producers distinguishes it from broader gold-miner strategies while incorporating some multi-metal operations.
The precious metals mining sector remains influenced by gold and silver price trends, global economic uncertainty, central bank policies, and industrial demand for silver in electronics and solar applications. Macroeconomic factors such as interest rate expectations and inflation concerns can drive capital flows into or out of mining equities. Regulatory developments around mining permits and environmental standards, along with geopolitical supply risks, continue to shape the operating environment. Both ETFs respond to these drivers through equity exposure, with performance tied to earnings cycles of underlying miners and commodity price movements rather than direct futures contracts.
In recent market cycles, GDXJ has displayed characteristics consistent with junior miner exposure, often exhibiting amplified movements relative to broader gold prices due to its focus on smaller-capitalization firms. SLVP has shown sensitivity to silver-specific dynamics, including industrial demand shifts and supply constraints. During periods of sector rotation toward precious metals, the more concentrated SLVP may reflect sharper responses to silver price changes, while GDXJ’s broader holdings can moderate volatility through diversification. Relative positioning depends on investor views on gold versus silver momentum and tolerance for concentration risk versus cost differentials.
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 like GDXJ and SLVP can leverage this platform for efficient discovery.
Based on observable structural factors, Tickeron’s AI would likely assign a modest preference to SLVP at present. The lower expense ratio supports improved cost efficiency, while the concentrated silver-focused mandate aligns with specific thematic demand. GDXJ offers greater diversification through its larger number of holdings, which may appeal in more volatile environments. Final selection depends on an investor’s emphasis on fees, concentration tolerance, and views on silver versus broader junior gold exposure.
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.
The 50-day moving average for GDXJ moved below the 200-day moving average on October 27, 2026. This could be a long-term bearish signal for the stock as the stock shifts to an downward trend.
The 10-day moving average for GDXJ 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 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 79%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where GDXJ 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 Aroon Indicator for GDXJ 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 Oscillator points to a transition from a downward trend to an upward trend -- in cases where GDXJ's RSI Indicator exited the oversold zone, 21 of 21 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 90%.
The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 2 days, which means it's wise to expect a price bounce in the near future.
Following a +4.48% 3-day Advance, the price is estimated to grow further. Considering data from situations where GDXJ advanced for three days, in 267 of 295 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
GDXJ may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The RSI Indicator for SLVP 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 2 days, which means it's wise to expect a price bounce in the near future.
Following a +3.98% 3-day Advance, the price is estimated to grow further. Considering data from situations where SLVP advanced for three days, in 286 of 309 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.
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 11 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 85%.
The 50-day moving average for SLVP moved below the 200-day moving average on October 30, 2026. This could be a long-term bearish signal for the stock as the stock shifts to an 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 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.
| GDXJ | SLVP | |
|---|---|---|
| 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 87% | 1 day ago 88% |
| TrendMonth ODDS (%) | 1 day ago 85% | 1 day ago 88% |
| Advances ODDS (%) | 8 days ago 90% | 8 days ago 90% |
| Declines ODDS (%) | 6 days ago 86% | 6 days ago 87% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 86% | 1 day ago 88% |
A.I.dvisor indicates that over the last year, GDXJ has been closely correlated with KGC. These tickers have moved in lockstep 93% of the time. This A.I.-generated data suggests there is a high statistical probability that if GDXJ jumps, then KGC could also see price increases.
| Ticker / NAME | Correlation To GDXJ | 1D Price Change % | ||
|---|---|---|---|---|
| GDXJ | 100% | -2.13% | ||
| KGC - GDXJ | 93% Closely correlated | -3.06% | ||
| PAAS - GDXJ | 93% Closely correlated | -1.62% | ||
| FSM - GDXJ | 92% Closely correlated | -2.86% | ||
| EQX - GDXJ | 91% Closely correlated | -0.79% | ||
| CGAU - GDXJ | 91% Closely correlated | -4.67% | ||
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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 93% 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% | -2.34% | ||
| PAAS - SLVP | 93% Closely correlated | -1.62% | ||
| WPM - SLVP | 92% Closely correlated | -1.45% | ||
| AEM - SLVP | 91% Closely correlated | -1.84% | ||
| NEM - SLVP | 90% Closely correlated | -1.49% | ||
| SKE - SLVP | 90% Closely correlated | -1.32% | ||
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