Investors evaluating precious metals exposure often compare specialized mining ETFs to align portfolios with gold and silver price dynamics. VanEck Junior Gold Miners ETF (GDXJ) and Global X Silver Miners ETF (SIL) both deliver equity exposure to companies involved in precious metals extraction, yet they target distinct segments of the sector. GDXJ emphasizes smaller-capitalization gold and silver miners, while SIL concentrates on silver mining operations. These vehicles do not compete directly but offer alternative pathways within the same thematic universe, allowing investors to fine-tune risk, diversification, and commodity sensitivity according to prevailing market conditions and portfolio objectives.
VanEck Junior Gold Miners ETF (GDXJ) is a passively managed exchange-traded fund that seeks to replicate the performance of the MVIS Global Junior Gold Miners Index before fees and expenses. The index focuses on small-capitalization companies deriving at least 50% of revenues from gold or silver mining, royalties, or streaming activities. The fund typically holds 110-120 securities, providing diversified access to junior miners primarily domiciled in Canada, Australia, and the United States. Top holdings often include Equinox Gold (EQX), Evolution Mining, Alamos Gold (AGI), Endeavour Mining, and Coeur Mining (CDE). The portfolio maintains nearly full allocation to basic materials equities. GDXJ carries a net expense ratio of 0.52% and employs a rules-based, market-capitalization-weighted methodology with periodic rebalancing. Its structure suits investors seeking higher-beta exposure to gold price cycles through smaller producers and explorers.
Global X Silver Miners ETF (SIL) is a passively managed exchange-traded fund designed to track the Solactive Global Silver Miners Total Return Index before fees and expenses. The index measures the performance of companies engaged in silver mining worldwide. The fund maintains a concentrated portfolio of approximately 40 holdings, with significant weightings in royalty and streaming firms alongside primary silver producers. Prominent positions frequently include Wheaton Precious Metals (WPM), Pan American Silver (PAAS), Coeur Mining (CDE), Hecla Mining (HL), and First Majestic Silver (AG). SIL allocates virtually all assets to basic materials and follows a market-capitalization-weighted approach with regular rebalancing. Its net expense ratio stands at 0.65%. The ETF appeals to investors targeting direct silver industry participation with a focus on established producers and related businesses.
The precious metals mining sector remains influenced by macroeconomic factors including interest rate expectations, inflation trends, and geopolitical developments that affect gold and silver demand as stores of value and industrial inputs. Silver benefits additionally from growing applications in solar energy, electronics, and electric vehicles, creating distinct demand drivers compared with gold. Capital flows into mining equities often accelerate during periods of monetary easing or heightened uncertainty, while regulatory changes in key producing regions such as Canada, Mexico, and Australia can impact operational costs and project timelines. Both ETFs operate within a cyclical industry characterized by commodity price volatility, cost pressures, and varying levels of exploration success. Investors monitor broader equity market sentiment and central bank policies for signals on sector rotation into or out of precious metals exposure.
In recent market cycles, GDXJ has demonstrated pronounced sensitivity to gold price fluctuations due to its emphasis on junior miners, which typically carry higher operational leverage and exploration risk. SIL’s performance has reflected silver price movements more directly, with its concentrated holdings amplifying returns during periods of strong silver demand. Over broader timeframes, both ETFs have exhibited elevated volatility relative to broad equity benchmarks, though GDXJ’s larger number of holdings can moderate idiosyncratic company risk compared with SIL’s more concentrated profile. Relative positioning shifts with commodity trends, earnings results from major producers, and shifts in investor appetite for growth-oriented versus income-generating mining equities. SIL’s inclusion of royalty companies may provide some downside cushion during low-price environments, while GDXJ’s junior focus offers greater upside potential in rising commodity cycles.
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Based on structural characteristics, Tickeron’s AI would currently assign a modestly higher probability of favorable positioning to VanEck Junior Gold Miners ETF (GDXJ) due to its lower expense ratio, greater diversification across holdings, and broader exposure to the junior miner segment within the precious metals theme. SIL offers compelling silver-specific focus but carries a higher cost structure and elevated concentration risk. Investors should evaluate both ETFs against their risk tolerance, time horizon, and views on gold versus silver price trajectories.
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| GDXJ | SIL | GDXJ / SIL | |
| Gain YTD | 13.201 | 18.866 | 70% |
| Net Assets | 9.76B | 5.34B | 183% |
| Total Expense Ratio | 0.52 | 0.65 | 80% |
| Turnover | 36.00 | 27.57 | 131% |
| Yield | 2.76 | 1.38 | 201% |
| Fund Existence | 17 years | 16 years | - |
| GDXJ | SIL | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Stochastic ODDS (%) | 3 days ago 89% | 3 days ago 85% |
| Momentum ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| MACD ODDS (%) | N/A | N/A |
| TrendWeek ODDS (%) | 3 days ago 87% | 3 days ago 87% |
| TrendMonth ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Advances ODDS (%) | 6 days ago 90% | 6 days ago 90% |
| Declines ODDS (%) | N/A | N/A |
| BollingerBands ODDS (%) | 3 days ago 81% | 3 days ago 80% |
| Aroon ODDS (%) | 3 days ago 90% | 3 days ago 89% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| RCLR | 51.55 | N/A | N/A |
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| ARK Genomic Revolution ETF | |||
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% | -4.44% | ||
| KGC - GDXJ | 93% Closely correlated | -3.81% | ||
| PAAS - GDXJ | 93% Closely correlated | -3.68% | ||
| FSM - GDXJ | 92% Closely correlated | -4.29% | ||
| CGAU - GDXJ | 91% Closely correlated | -3.34% | ||
| AEM - GDXJ | 91% Closely correlated | -4.27% | ||
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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% | -3.88% | ||
| PAAS - SIL | 95% Closely correlated | -3.68% | ||
| WPM - SIL | 94% Closely correlated | -2.95% | ||
| CDE - SIL | 91% Closely correlated | -4.86% | ||
| OR - SIL | 88% Closely correlated | -3.21% | ||
| VZLA - SIL | 82% Closely correlated | -3.85% | ||
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