Investors comparing precious metals mining exposure often evaluate GDX and SILJ as complementary yet differentiated options within the same thematic universe. These exchange-traded funds (ETFs) do not compete directly as identical substitutes; instead, they deliver alternative strategies targeting similar goals of gold and silver sector participation. GDX emphasizes established gold producers on a global scale, while SILJ narrows to smaller silver-focused companies, allowing portfolio builders to balance scale against growth potential based on risk tolerance and commodity views. In the current environment of fluctuating metal prices and macroeconomic uncertainty, understanding their structural distinctions supports more informed allocation decisions.
The VanEck Gold Miners ETF (GDX) is a passively managed exchange-traded fund (ETF) that seeks to replicate the performance of the MarketVector Global Gold Miners Index before fees and expenses. This index tracks publicly traded companies primarily engaged in gold mining activities worldwide. The fund typically holds around 60 securities, with top positions concentrated in large-cap producers including Newmont Corporation (NEM), Agnico Eagle Mines Limited (AEM), Barrick Gold Corporation (GOLD), Wheaton Precious Metals Corp. (WPM), and Franco-Nevada Corporation (FNV). Sector allocation centers almost entirely on basic materials, reflecting its gold-mining mandate with incidental silver exposure from byproduct output. The expense ratio is 0.51%, and the structure remains fully passive with periodic index rebalancing. This design delivers liquid, diversified access to senior gold miners for investors seeking established operational scale and geographic breadth.
The Amplify Junior Silver Miners ETF (SILJ) is a passively managed exchange-traded fund (ETF) designed to track the Nasdaq Junior Silver Miners Index before fees and expenses. The underlying index focuses on smaller and mid-sized companies actively involved in silver exploration, development, and production. The fund maintains approximately 65-70 holdings, with top allocations typically including Hecla Mining Company (HL), First Majestic Silver Corp. (AG), and other junior operators. Sector exposure resides predominantly in basic materials. The expense ratio stands at 0.69%. As a thematic passive vehicle, SILJ employs standard index rebalancing to maintain alignment with its junior silver mandate, offering investors targeted exposure to higher-beta names in the silver mining space.
The precious metals mining sector operates within a broader commodity and macroeconomic framework influenced by inflation expectations, interest rate trajectories, geopolitical tensions, and industrial demand for silver in electronics and solar applications. Gold mining companies benefit from safe-haven flows during periods of economic or political stress, while silver miners experience amplified moves due to dual monetary and industrial uses. Capital allocation trends favor producers with strong balance sheets and cost discipline, amid ongoing regulatory scrutiny on environmental practices and permitting timelines. Both GDX and SILJ remain sensitive to these drivers, with junior operators facing elevated exploration and development risks compared to established producers.
In recent market cycles, GDX has demonstrated relatively more stable behavior tied to large-cap gold producer earnings and dividend sustainability, supporting its role as a core sector holding. SILJ has exhibited greater sensitivity to silver price swings and operational milestones at smaller mines, resulting in higher volatility during commodity rotations. Relative positioning reflects differing beta to underlying metals: GDX benefits from scale and byproduct credits, while SILJ captures leveraged upside from silver-specific catalysts such as supply constraints or industrial demand shifts. Over broader timeframes, these dynamics underscore GDX's emphasis on resilience versus SILJ's orientation toward growth-oriented silver exposure.
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Based on observable structural factors including lower expense ratio, broader diversification across established gold miners, and more resilient positioning within the precious metals sector, Tickeron’s AI would currently assign a higher probabilistic preference to GDX over SILJ for investors seeking balanced exposure with moderated volatility. SILJ may appeal in scenarios prioritizing silver-specific momentum, though its higher costs and concentrated junior focus introduce comparatively elevated risk characteristics.
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| GDX | SILJ | GDX / SILJ | |
| Gain YTD | 2.915 | 6.397 | 46% |
| Net Assets | 28B | 3.99B | 701% |
| Total Expense Ratio | 0.51 | 0.69 | 74% |
| Turnover | 50.00 | 47.00 | 106% |
| Yield | 0.85 | 2.30 | 37% |
| Fund Existence | 20 years | 14 years | - |
| GDX | SILJ | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 89% | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Momentum ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| MACD ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| TrendWeek ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| TrendMonth ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Advances ODDS (%) | 8 days ago 90% | 3 days ago 90% |
| Declines ODDS (%) | 17 days ago 88% | 17 days ago 89% |
| BollingerBands ODDS (%) | 1 day ago 84% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 88% | 1 day ago 90% |
A.I.dvisor indicates that over the last year, GDX has been closely correlated with AEM. These tickers have moved in lockstep 95% of the time. This A.I.-generated data suggests there is a high statistical probability that if GDX jumps, then AEM 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% | -2.39% | ||
| PAAS - SILJ | 94% Closely correlated | -9.70% | ||
| CDE - SILJ | 91% Closely correlated | -1.86% | ||
| WPM - SILJ | 91% Closely correlated | -2.24% | ||
| SKE - SILJ | 87% Closely correlated | -1.23% | ||
| OR - SILJ | 86% Closely correlated | -2.67% | ||
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