GDXJ and SIL both offer equity exposure to precious metals mining companies, making them relevant for investors seeking commodity-linked returns without direct ownership of physical metals. They do not compete directly but provide differentiated strategies within the same broad sector. GDXJ emphasizes junior gold miners, while SIL targets silver mining operations. This comparison helps investors evaluate structural differences, cost structures, and thematic positioning to align with specific portfolio objectives in the precious metals space.
The 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 that derive at least 50% of their revenue from gold and/or silver mining or have projects with similar potential. The fund typically holds around 114 securities, emphasizing junior and early-stage miners. Its expense ratio stands at 0.52%. GDXJ employs a market-capitalization-weighted methodology with periodic rebalancing to maintain alignment with the underlying index. This structure delivers concentrated exposure to smaller precious metals producers, distinguishing it through its focus on growth-oriented junior companies.
The 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 global companies involved in silver mining, exploration, and related activities. SIL generally holds approximately 40 securities, providing exposure across a range of silver-focused firms. Its expense ratio is 0.65%. The fund uses a market-capitalization-weighted approach with regular rebalancing. This setup offers investors direct access to the silver mining segment, with holdings that often include more established producers compared to junior-focused strategies.
The precious metals mining sector remains influenced by macroeconomic factors including interest rate expectations, inflation trends, and geopolitical developments that affect gold and silver prices. Silver benefits from growing industrial demand in electronics, solar energy, and electric vehicles, while gold serves primarily as a monetary and safe-haven asset. Capital flows into mining equities can accelerate during periods of monetary easing or heightened uncertainty. Regulatory considerations around mining permits and environmental standards also shape the operating environment for companies in both ETFs. Sector risks include commodity price volatility, operational challenges at mining sites, and currency fluctuations for internationally diversified holdings.
In recent market cycles, GDXJ’s emphasis on smaller gold mining companies has contributed to greater sensitivity to gold price movements and equity market sentiment toward early-stage producers. SIL’s broader silver mining holdings have shown different responsiveness tied to industrial silver demand and established producer earnings. During periods of sector rotation favoring precious metals, relative performance has varied based on the strength of gold versus silver fundamentals. GDXJ typically exhibits higher volatility due to its junior focus, while SIL may demonstrate comparatively steadier behavior linked to larger silver operations. Both ETFs respond to broader commodity trends and macroeconomic shifts, with positioning differences arising from their distinct underlying indices and market-capitalization profiles.
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 or SIL can leverage this platform for efficient discovery.
Based on observable structural characteristics, Tickeron’s AI would currently assign a modestly higher probability of favor to GDXJ due to its lower expense ratio, greater number of holdings for diversification within the junior segment, and alignment with gold’s established monetary role. SIL offers compelling silver-specific exposure but carries a higher cost structure. The verdict reflects probabilistic assessment of cost efficiency, diversification profile, and thematic momentum rather than any guarantee of future results.
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.
| GDXJ | SIL | GDXJ / SIL | |
| Gain YTD | 3.375 | 6.109 | 55% |
| Net Assets | 8.39B | 4.74B | 177% |
| 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 (%) | 4 days ago 90% | 4 days ago 89% |
| Stochastic ODDS (%) | 4 days ago 90% | 4 days ago 89% |
| Momentum ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| MACD ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| TrendWeek ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| TrendMonth ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| Advances ODDS (%) | 6 days ago 90% | 6 days ago 90% |
| Declines ODDS (%) | 13 days ago 87% | 13 days ago 87% |
| BollingerBands ODDS (%) | 4 days ago 88% | 4 days ago 90% |
| Aroon ODDS (%) | 4 days ago 85% | 4 days ago 87% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| GIAX | 16.03 | 0.35 | +2.23% |
| Nicholas Global Equity and Income ETF | |||
| JXX | 32.00 | 0.40 | +1.26% |
| Janus Henderson Transformational Gr ETF | |||
| JPIN | 77.00 | 0.88 | +1.15% |
| JPMorgan Diversified Return Intl Eq ETF | |||
| LTTI | 17.58 | 0.04 | +0.23% |
| FT Vest 20+ Year Treasury & Target Income ETF | |||
| KBE | 69.97 | -0.18 | -0.26% |
| State Street® SPDR® S&P® Bank 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% | +7.51% | ||
| KGC - GDXJ | 93% Closely correlated | +7.88% | ||
| PAAS - GDXJ | 93% Closely correlated | +6.60% | ||
| AEM - GDXJ | 91% Closely correlated | +6.49% | ||
| CGAU - GDXJ | 91% Closely correlated | +7.22% | ||
| AGI - GDXJ | 89% Closely correlated | +6.59% | ||
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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% | +6.29% | ||
| PAAS - SIL | 95% Closely correlated | +6.60% | ||
| WPM - SIL | 94% Closely correlated | +7.10% | ||
| CDE - SIL | 90% Closely correlated | +11.12% | ||
| OR - SIL | 88% Closely correlated | +2.89% | ||
| VZLA - SIL | 81% Closely correlated | +5.95% | ||
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