Gold mining equities represent a leveraged way for investors to gain exposure to gold prices and sector-specific dynamics. VanEck Junior Gold Miners ETF (GDXJ) and Sprott Gold Miners ETF (SGDM) both target this space but pursue distinct strategies within it. GDXJ emphasizes smaller exploration and development companies, while SGDM applies factor screens to larger producers. The comparison helps investors evaluate trade-offs in risk, diversification, and cost when allocating to gold miners amid fluctuating commodity prices and macroeconomic conditions.
VanEck Junior Gold Miners ETF (GDXJ) seeks to replicate the performance of the MVIS Global Junior Gold Miners Index before fees and expenses. The index focuses on small-capitalization companies primarily engaged in gold and silver mining, including those in exploration and early development stages. The fund typically holds 80–120 securities, providing broad exposure across global junior miners. Top holdings often include companies such as Equinox Gold and other mid-tier producers with significant exploration upside. Sector allocation is concentrated in basic materials, specifically precious metals mining. The expense ratio stands at 0.52%. GDXJ is a passive, market-cap-weighted ETF with annual rebalancing tied to index methodology. Its structure suits investors seeking higher-risk, higher-reward exposure within the gold mining theme.
Sprott Gold Miners ETF (SGDM) tracks the Solactive Gold Miners Custom Factors Index. This rules-based index selects and weights gold mining companies based on factors including revenue growth, EBITDA margins, and debt-to-equity ratios, favoring financially robust producers. The fund typically holds 40–50 securities, resulting in a more concentrated portfolio of mid- to large-cap names. Top holdings commonly feature established producers such as Agnico Eagle Mines, Barrick Gold, and Newmont. Allocation remains focused on basic materials with an emphasis on senior gold miners. The expense ratio is 0.46%. SGDM is a passively managed ETF employing a factor-enhanced selection process with periodic index reconstitution. Its design appeals to investors preferring quality-oriented exposure within the gold mining sector.
The gold mining sector is influenced by gold price trends, inflation expectations, interest rate environments, and geopolitical developments. Capital flows into precious metals equities often accelerate during periods of monetary easing or heightened uncertainty. Regulatory considerations around mining permits and environmental standards can affect project timelines for both junior and senior producers. Macro drivers such as central bank gold purchases and currency movements provide broader support, while rising operating costs and labor challenges represent ongoing sector risks. Both ETFs operate within this thematic environment, with performance sensitive to commodity cycles rather than broad equity market rotations.
In recent market cycles, VanEck Junior Gold Miners ETF (GDXJ) has demonstrated greater sensitivity to gold price rallies due to the operational leverage and growth potential of smaller miners, though this comes with elevated volatility during downturns. Sprott Gold Miners ETF (SGDM) has shown comparatively steadier behavior, benefiting from its focus on profitable, lower-leverage producers that tend to weather cost pressures more effectively. Relative positioning highlights GDXJ’s potential for amplified returns in favorable gold environments versus SGDM’s emphasis on quality metrics that may moderate drawdowns. Sector momentum tied to earnings from major holdings and broader commodity trends continues to drive differentiation between the two strategies over multi-month periods.
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.
Based on structural characteristics including cost efficiency, diversification within the gold mining theme, and factor-based selection for financial quality, Tickeron’s AI would currently assign a modest probabilistic preference to Sprott Gold Miners ETF (SGDM) for investors prioritizing balanced risk exposure in the sector. VanEck Junior Gold Miners ETF (GDXJ) remains compelling for those seeking higher-beta participation in junior miner upside. The assessment draws from observable index methodologies and expense profiles rather than short-term price action.
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 | SGDM | GDXJ / SGDM | |
| Gain YTD | 1.854 | 6.018 | 31% |
| Net Assets | 8.69B | 667M | 1,303% |
| Total Expense Ratio | 0.52 | 0.46 | 113% |
| Turnover | 36.00 | 59.00 | 61% |
| Yield | 2.76 | 1.18 | 234% |
| Fund Existence | 17 years | 12 years | - |
| GDXJ | SGDM | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Momentum ODDS (%) | 1 day ago 88% | 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 (%) | 10 days ago 90% | 3 days ago 90% |
| Declines ODDS (%) | 17 days ago 87% | 17 days ago 88% |
| BollingerBands ODDS (%) | 1 day ago 88% | 1 day ago 87% |
| Aroon ODDS (%) | 1 day ago 87% | 1 day ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| ETY | 14.82 | 0.09 | +0.61% |
| Eaton Vance Tax-Managed Diversified Equity Income Fund | |||
| NBJP | 37.23 | 0.19 | +0.51% |
| Neuberger Japan Equity ETF | |||
| SIFI | 43.52 | 0.15 | +0.35% |
| Harbor Ares Systematic Mltsct Inc ETF | |||
| FINS | 12.68 | 0.03 | +0.24% |
| Angel Oak Financial Strategies Income Term Trust | |||
| AOTS | 23.24 | N/A | N/A |
| AOT Software Platform 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% | -3.01% | ||
| KGC - GDXJ | 93% Closely correlated | -2.29% | ||
| PAAS - GDXJ | 93% Closely correlated | -9.70% | ||
| AEM - GDXJ | 91% Closely correlated | -2.60% | ||
| CGAU - GDXJ | 91% Closely correlated | -2.30% | ||
| AGI - GDXJ | 89% Closely correlated | -2.03% | ||
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A.I.dvisor indicates that over the last year, SGDM has been closely correlated with AEM. These tickers have moved in lockstep 96% of the time. This A.I.-generated data suggests there is a high statistical probability that if SGDM jumps, then AEM could also see price increases.
| Ticker / NAME | Correlation To SGDM | 1D Price Change % | ||
|---|---|---|---|---|
| SGDM | 100% | -2.16% | ||
| AEM - SGDM | 96% Closely correlated | -2.60% | ||
| WPM - SGDM | 95% Closely correlated | -2.24% | ||
| NEM - SGDM | 92% Closely correlated | -3.10% | ||
| IAG - SGDM | 92% Closely correlated | -1.77% | ||
| PAAS - SGDM | 92% Closely correlated | -9.70% | ||
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