Investors seeking exposure to precious metals often weigh gold and silver miners against each other, and these two ETFs sit at the center of that decision. The Sprott Gold Miners ETF (SGDM) and the Global X Silver Miners ETF (SIL) do not compete directly so much as they offer alternative expressions of the same broad theme: equity exposure to companies that extract precious metals. Their performance is driven by overlapping but distinct forces, with gold tied more closely to monetary policy and safe-haven demand and silver influenced by industrial and technology cycles. Understanding their structural differences is essential for any investor deciding between the two.
The Sprott Gold Miners ETF (SGDM) is a passively managed, rules-based fund that seeks to track the Solactive Gold Miners Custom Factors Index. Launched in July 2014, the fund invests primarily in larger gold-mining companies whose stocks trade on major U.S. and Canadian exchanges. It typically holds roughly 39 to 50 issuers, with gold-mining names accounting for about 85% of industry exposure and precious-metals and silver companies making up the balance.
The portfolio is anchored by large-cap producers and royalty companies, including AEM (Agnico Eagle Mines), GOLD (Barrick Gold), NEM (Newmont), WPM (Wheaton Precious Metals), FNV (Franco-Nevada), KGC (Kinross Gold), and CDE (Coeur Mining). A distinguishing feature is the fund's "custom factors" approach, which tilts the index toward companies with favorable revenue growth, lower long-term debt relative to equity, and stronger free-cash-flow yield. SGDM carries a net expense ratio of 0.50% and rebalances quarterly, with roughly three-quarters of its assets domiciled in Canada.
The Global X Silver Miners ETF (SIL) is a passive fund that seeks to track the Solactive Global Silver Miners Total Return Index, providing broad exposure to companies engaged in silver mining. Launched in April 2010, the fund holds approximately 39 to 42 issuers and uses full replication of its market-cap-weighted benchmark, with no factor-based screens applied.
SIL's portfolio is more concentrated at the top than SGDM's. WPM (Wheaton Precious Metals) accounts for roughly 22% to 25% of assets, followed by PAAS (Pan American Silver), CDE (Coeur Mining), HL (Hecla Mining), AG (First Majestic Silver), SSRM (SSR Mining), and BVN (Compañía de Minas Buenaventura). Geographically, the fund is weighted toward Canada and the United States, with additional exposure to Mexico, Peru, and the United Kingdom. SIL carries a higher expense ratio of 0.65% and distributes income semi-annually. Its higher single-stock concentration and silver's industrial sensitivity make it structurally more volatile than a diversified gold-miners fund.
Both funds operate within the precious-metals mining complex, a sector shaped by commodity prices, production costs, and macroeconomic policy. Gold has benefited in recent market cycles from sustained central-bank buying, currency diversification, and demand for a hedge against inflation and geopolitical uncertainty. Silver, by contrast, functions as a hybrid asset: it retains monetary characteristics but derives a significant share of demand from industrial applications such as solar panels, electronics, and electric-vehicle components. This dual nature means silver miners can outperform during strong industrial growth but may fall harder during manufacturing slowdowns. Regulatory risk in mining jurisdictions, labor and energy costs, and currency moves all influence the profitability of the underlying companies.
In recent weeks and months, both ETFs have moved in sympathy with precious-metals prices, yet their relative positioning differs. SGDM has tended to reflect the more defensive, policy-driven rally in gold, supported by earnings expansion among its large-cap, lower-leverage producers. SIL has exhibited greater volatility, consistent with silver's industrial exposure and its higher single-holding concentration in Wheaton Precious Metals. When rate-cut expectations and safe-haven flows strengthen, gold miners have historically offered steadier relative positioning; when cyclical and technology demand accelerates, silver miners can deliver sharper moves in either direction. For investors prioritizing lower cost and a quality tilt, SGDM presents a more measured profile, while SIL offers purer, higher-beta exposure to the silver price.
Tickeron's AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market using technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs with customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener is designed to surface trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening, saving time while adding a data-driven layer to the research process. Explore the AI Screener to identify signals across the precious-metals complex and beyond.
Based on observable factors, Tickeron's AI would currently favor SGDM over SIL. The Sprott Gold Miners ETF combines a lower expense ratio with a factor-based methodology that emphasizes revenue growth, lower debt, and free-cash-flow yield—attributes that tend to support more resilient relative performance across market cycles. Its broader, more balanced portfolio and gold-centric exposure align with a relatively lower-volatility profile, while SIL's elevated single-stock concentration and silver's industrial cyclicality introduce additional risk. Given these structural strengths and the prevailing demand backdrop for gold, SGDM represents the more favorable probabilistic choice between the two funds.
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.
The RSI Oscillator for SGDM moved out of oversold territory on November 02, 2026. This could be a sign that the stock is shifting from a downward trend to an upward trend. Traders may want to buy the stock or call options. The A.I.dvisor looked at 24 similar instances when the indicator left oversold territory. In 24 of the 24 cases the stock moved higher. This puts the odds of a move higher at 90%.
The Momentum Indicator moved above the 0 level on November 05, 2026. You may want to consider a long position or call options on SGDM as a result. In 77 of 82 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 90%.
The Moving Average Convergence Divergence (MACD) for SGDM just turned positive on November 05, 2026. Looking at past instances where SGDM's MACD turned positive, the stock continued to rise in 44 of 47 cases over the following month. The odds of a continued upward trend are 90%.
Following a +5.08% 3-day Advance, the price is estimated to grow further. Considering data from situations where SGDM advanced for three days, in 288 of 315 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
SGDM may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Stochastic Oscillator entered the overbought zone. Expect a price pull-back in the foreseeable future.
The 10-day moving average for SGDM crossed bearishly below the 50-day moving average on October 05, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 13 of 13 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 90%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SGDM declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 88%.
The Aroon Indicator for SGDM entered a downward trend on October 30, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The RSI Indicator for SIL moved out of oversold territory on November 04, 2026. This could be a sign that the stock is shifting from a downward trend to an upward trend. Traders may want to buy the stock or call options. The A.I.dvisor looked at 27 similar instances when the indicator left oversold territory. In 27 of the 27 cases the stock moved higher. This puts the odds of a move higher at 90%.
The Momentum Indicator moved above the 0 level on November 05, 2026. You may want to consider a long position or call options on SIL as a result. In 71 of 75 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 90%.
The Moving Average Convergence Divergence (MACD) for SIL just turned positive on November 05, 2026. Looking at past instances where SIL's MACD turned positive, the stock continued to rise in 50 of 53 cases over the following month. The odds of a continued upward trend are 90%.
Following a +3.84% 3-day Advance, the price is estimated to grow further. Considering data from situations where SIL advanced for three days, in 295 of 320 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
SIL may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Stochastic Oscillator entered the overbought zone. Expect a price pull-back in the foreseeable future.
The 10-day moving average for SIL crossed bearishly below the 50-day moving average on October 02, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 13 of 14 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 90%.
The 50-day moving average for SIL moved below the 200-day moving average on October 26, 2026. This could be a long-term bearish signal for the stock as the stock shifts to an downward trend.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SIL declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 86%.
The Aroon Indicator for SIL entered a downward trend on November 06, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
| SGDM | SIL | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 88% |
| Advances ODDS (%) | 2 days ago 90% | 11 days ago 90% |
| Declines ODDS (%) | 9 days ago 88% | 9 days ago 86% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 88% | 2 days ago 88% |
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% | +2.65% | ||
| AEM - SGDM | 96% Closely correlated | +1.33% | ||
| WPM - SGDM | 95% Closely correlated | +2.91% | ||
| IAG - SGDM | 93% Closely correlated | +7.20% | ||
| NEM - SGDM | 93% Closely correlated | +1.00% | ||
| OR - SGDM | 91% Closely correlated | +2.87% | ||
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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% | +2.63% | ||
| PAAS - SIL | 95% Closely correlated | +1.45% | ||
| WPM - SIL | 95% Closely correlated | +2.91% | ||
| CDE - SIL | 91% Closely correlated | +5.74% | ||
| OR - SIL | 90% Closely correlated | +2.87% | ||
| SSRM - SIL | 87% Closely correlated | +1.65% | ||
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