VanEck Gold Miners ETF (GDX) and Sprott Gold Miners ETF (SGDM) both target the gold mining sector, offering investors equity exposure to companies involved in gold exploration and production. These ETFs do not compete directly as identical products but serve as alternatives within the same thematic space, differentiated by index construction and portfolio construction rules. In the current market environment, where gold prices respond to macroeconomic factors such as interest rate expectations and geopolitical developments, comparing their structural features helps investors align choices with specific risk and return objectives.
VanEck Gold Miners ETF (GDX) seeks to replicate the performance of the MarketVector Global Gold Miners Index before fees and expenses. The fund holds approximately 60 securities, providing broad exposure to global gold mining companies with an emphasis on larger-capitalization names. Top holdings typically include established producers such as Newmont Corp (NEM), Barrick Gold Corp, and Agnico Eagle Mines Ltd. Sector allocation is concentrated in basic materials, specifically gold and silver mining. The ETF employs a passive, market-capitalization-weighted methodology with annual or as-needed rebalancing. It carries an expense ratio of 0.51% and is structured as a standard equity ETF listed on major U.S. exchanges, offering high liquidity and trading volume.
Sprott Gold Miners ETF (SGDM) aims to track the Solactive Gold Miners Custom Factors Index before fees and expenses. The portfolio contains approximately 40 to 50 holdings, resulting in a more concentrated selection of gold mining companies screened for factors including revenue growth, profitability, and balance sheet strength. Top holdings overlap with broader sector leaders such as Newmont Corp (NEM), Barrick Gold Corp, and Agnico Eagle Mines Ltd, though weights differ due to the factor-based approach. Like GDX, allocation remains focused on the basic materials sector. SGDM uses a passive strategy with rules-based rebalancing tied to its custom index. It features an expense ratio of 0.46% and operates as a standard equity ETF with solid but lower liquidity relative to larger peers.
The gold mining sector operates within the broader precious metals industry, where company performance correlates closely with gold prices, input costs such as energy and labor, and operational efficiencies. Macroeconomic drivers including real interest rates, inflation expectations, and central bank gold purchases influence capital flows into the sector. Regulatory developments around mining permits and environmental standards, along with geopolitical tensions affecting supply chains, represent ongoing risks. Both ETFs position investors for potential sector momentum driven by sustained gold demand, while exposing them to volatility from commodity price swings and individual company execution challenges.
In recent weeks and months, both ETFs have exhibited similar directional movements tied to gold price trends and earnings reports from major miners, though relative performance has varied due to differences in concentration and factor exposure. GDX’s broader holdings have historically provided smoother tracking of the overall gold miners universe, while SGDM’s factor tilt may amplify gains or losses during periods when higher-quality or growth-oriented miners outperform. Volatility profiles remain elevated compared to broad equity markets, with both funds sensitive to shifts in interest rate expectations and commodity cycles. Relative positioning favors GDX for liquidity and diversification, whereas SGDM may appeal in environments favoring fundamental strength among miners.
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 observable structural factors, Tickeron’s AI would currently favor VanEck Gold Miners ETF (GDX) with moderate probability due to its broader diversification, higher liquidity profile, and established market presence, which support more consistent sector exposure across market cycles. Sprott Gold Miners ETF (SGDM) presents a competitive alternative with lower costs and a factor-based methodology that may enhance returns in specific fundamental environments, though its concentration introduces additional risks. The choice ultimately depends on investor preference for breadth versus targeted quality metrics.
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.
| GDX | SGDM | GDX / SGDM | |
| Gain YTD | 2.915 | 6.018 | 48% |
| Net Assets | 28B | 667M | 4,198% |
| Total Expense Ratio | 0.51 | 0.46 | 111% |
| Turnover | 50.00 | 59.00 | 85% |
| Yield | 0.85 | 1.18 | 72% |
| Fund Existence | 20 years | 12 years | - |
| GDX | SGDM | |
|---|---|---|
| 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 88% |
| BollingerBands ODDS (%) | 1 day ago 84% | 1 day ago 87% |
| 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, 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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