VanEck Junior Gold Miners ETF (GDXJ) and Sprott Junior Gold Miners ETF (SGDJ) offer investors comparable access to the junior segment of the gold mining industry. These ETFs do not compete directly with broad-market or large-cap gold miner products; instead, they serve as specialized vehicles for those seeking higher-risk, higher-reward exposure to smaller mining companies. In the current environment of fluctuating commodity prices and shifting macroeconomic conditions, the pair provides distinct but related pathways to thematic precious metals equity exposure, allowing investors to evaluate trade-offs between portfolio breadth and factor-driven selection.
VanEck Junior Gold Miners ETF (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 deriving at least 50% of revenue from gold and/or silver mining, royalties, or streaming activities. The fund typically holds 80–120 securities, providing broad diversification within the junior miners space. Top holdings generally include leading junior producers and developers across global markets. Sector allocation is concentrated in materials, with primary exposure to gold and silver mining equities. The expense ratio stands at 0.52%. As a standard equity ETF, it employs market-capitalization weighting with periodic rebalancing to maintain index alignment. The structure emphasizes liquidity through its listing on major U.S. exchanges and substantial assets under management.
Sprott Junior Gold Miners ETF (SGDJ) is a passively managed ETF designed to track the Solactive Junior Gold Miners Custom Factors Index before fees and expenses. The index focuses on small-capitalization gold companies, incorporating custom factors such as price momentum in its selection and weighting process. The fund maintains a more concentrated portfolio of approximately 30 holdings. Top positions typically feature a select group of junior gold explorers and producers. Sector exposure remains centered on materials, particularly gold and silver mining. The expense ratio is 0.50%. Rebalancing follows the index methodology, which may result in more dynamic adjustments based on factor signals. The ETF structure supports efficient trading on U.S. exchanges with a focused approach to the junior miners theme.
The junior gold miners sector operates within the broader precious metals and materials industry, where company performance is closely tied to gold and silver price trends, exploration success rates, and capital availability for development projects. Macroeconomic drivers include interest rate expectations, inflation hedging demand, and geopolitical developments that influence safe-haven flows into precious metals. Regulatory considerations around mining permits and environmental standards also play a role. Capital flows into the sector can accelerate during periods of rising metal prices or heightened uncertainty, while risks encompass operational challenges for smaller firms, commodity volatility, and potential dilution from equity financings common among juniors. Both ETFs reflect these dynamics through equity exposure rather than direct commodity holdings.
In recent market cycles, the two ETFs have exhibited correlated movements driven by underlying gold price fluctuations and sector sentiment, with differences in relative volatility stemming from portfolio concentration and index rules. GDXJ’s broader holdings base may provide smoother exposure across a larger number of junior miners, potentially moderating the impact of individual company events. SGDJ’s factor-based approach and smaller number of holdings can lead to more pronounced responses to momentum shifts among top constituents. Positioning in both funds aligns with investor interest in junior miners during phases of commodity strength or equity market rotation toward cyclical materials sectors, though the concentrated nature of SGDJ may amplify sensitivity to specific holdings performance relative to GDXJ’s diversified construction.
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Based on structural factors including slightly lower expense ratio, concentrated holdings aligned with custom momentum factors, and comparable thematic exposure, Tickeron’s AI would currently assign a modest probabilistic preference to Sprott Junior Gold Miners ETF (SGDJ) for investors prioritizing cost efficiency and factor-driven selection within the junior gold miners space. GDXJ remains a strong alternative for those favoring broader diversification. This assessment reflects observable characteristics rather than short-term signals and does not constitute investment advice.
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| GDXJ | SGDJ | GDXJ / SGDJ | |
| Gain YTD | 16.532 | 20.409 | 81% |
| Net Assets | 9.86B | 377M | 2,616% |
| Total Expense Ratio | 0.52 | 0.50 | 104% |
| Turnover | 36.00 | 76.00 | 47% |
| Yield | 2.76 | 9.55 | 29% |
| Fund Existence | 17 years | 11 years | - |
| GDXJ | SGDJ | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Stochastic ODDS (%) | 3 days ago 87% | 3 days ago 85% |
| Momentum ODDS (%) | 3 days ago 85% | 3 days ago 84% |
| MACD ODDS (%) | 4 days ago 90% | 3 days ago 90% |
| TrendWeek ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| TrendMonth ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Advances ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Declines ODDS (%) | 26 days ago 87% | 26 days ago 86% |
| BollingerBands ODDS (%) | 3 days ago 88% | 3 days ago 86% |
| Aroon ODDS (%) | 3 days ago 90% | 3 days ago 90% |
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% | +2.67% | ||
| KGC - GDXJ | 93% Closely correlated | +4.23% | ||
| PAAS - GDXJ | 93% Closely correlated | +2.21% | ||
| FSM - GDXJ | 92% Closely correlated | +1.43% | ||
| CGAU - GDXJ | 92% Closely correlated | +1.11% | ||
| AEM - GDXJ | 91% Closely correlated | +1.90% | ||
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A.I.dvisor indicates that over the last year, SGDJ has been closely correlated with SA. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if SGDJ jumps, then SA could also see price increases.
| Ticker / NAME | Correlation To SGDJ | 1D Price Change % | ||
|---|---|---|---|---|
| SGDJ | 100% | +2.20% | ||
| SA - SGDJ | 86% Closely correlated | -9.35% | ||
| EQX - SGDJ | 85% Closely correlated | +5.05% | ||
| SKE - SGDJ | 84% Closely correlated | +0.11% | ||
| DRD - SGDJ | 84% Closely correlated | +4.03% | ||
| CDE - SGDJ | 83% Closely correlated | -0.66% | ||
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