Sprott Junior Gold Miners ETF (SGDJ) and Sprott Gold Miners ETF (SGDM) offer targeted access to gold mining equities through rules-based factor strategies. Although both ETFs are issued by Sprott and track Solactive custom indices, they address different segments of the gold mining universe. SGDJ emphasizes smaller junior producers and developers, while SGDM concentrates on larger senior operators. Investors comparing the two ETFs evaluate trade-offs between growth potential and operational stability within the same thematic sector rather than choosing direct competitors.
SGDJ seeks to track the Solactive Junior Gold Miners Custom Factors Index. The fund holds a concentrated portfolio of junior gold companies primarily listed in the United States, Canada, and Australia. It typically contains fewer than 50 holdings, with top positions often representing significant weights in smaller producers and developers. Sector allocation centers almost exclusively on materials, specifically gold mining. The expense ratio stands at 0.50%. The strategy applies multi-factor screening that emphasizes revenue growth, free cash flow yield, and leverage metrics before semi-annual rebalancing. SGDJ is structured as a passive, physically replicated, open-ended fund listed on NYSE Arca.
SGDM tracks the Solactive Gold Miners Custom Factors Index and invests in larger senior gold mining companies listed on major U.S. and Canadian exchanges. The portfolio generally comprises around 40 holdings, with greater emphasis on established producers. Top holdings include well-known names such as Agnico Eagle Mines and Newmont. Sector exposure remains focused on materials and gold mining. The expense ratio is 0.46%. The index applies the same core factors—revenue growth, free cash flow yield, and debt-to-equity—then rebalances quarterly. SGDM operates as a passive, physically replicated, open-ended fund on NYSE Arca.
Both ETFs operate within the gold mining segment of the materials sector. Capital flows into gold equities respond to macroeconomic drivers including inflation expectations, real interest rates, and geopolitical uncertainty. Regulatory developments around mining permits and environmental standards can influence project timelines for junior companies more acutely than for seniors. Commodity price trends in gold and silver remain primary performance catalysts, while sector risks include cost inflation, labor availability, and reserve depletion. Recent market cycles have highlighted divergent behavior between junior and senior miners during periods of rising or falling gold prices.
In recent market cycles, SGDJ has exhibited higher volatility due to its focus on smaller, earlier-stage companies that carry greater operational and financing risks. SGDM has generally delivered more stable returns tied to the earnings consistency of large producers. Relative positioning shifts with gold price movements and sector rotation: juniors often outperform in strong bull markets for gold but lag during risk-off periods. Both ETFs have shown sensitivity to interest rate expectations and broader equity sentiment, with SGDJ displaying greater amplitude in price swings compared with SGDM’s more moderate profile.
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 SGDJ and SGDM can leverage the platform’s analytical capabilities.
Based on observable structural factors, Tickeron’s AI would currently assign a modest probabilistic preference to SGDM. Its lower expense ratio, larger average holding size, quarterly rebalancing cadence, and exposure to more established producers collectively support greater cost efficiency and potentially steadier factor consistency. SGDJ remains relevant for investors seeking amplified exposure to junior miners, yet the senior-focused profile of SGDM aligns more closely with broader diversification and lower structural risk in the current environment.
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.
SGDJ moved below its 50-day moving average on September 28, 2026 date and that indicates a change from an upward trend to a downward trend. In 25 of 29 similar past instances, the stock price decreased further within the following month. The odds of a continued downward trend are 86%.
The 10-day moving average for SGDJ 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 12 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 86%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SGDJ 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 85%.
The Aroon Indicator for SGDJ entered a downward trend on October 22, 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 entered the oversold zone -- be on the watch for SGDJ's price rising or consolidating in the future. That's also the time to consider buying the stock or exploring call options.
The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 1 day, which means it's wise to expect a price bounce in the near future.
The 50-day moving average for SGDJ moved above the 200-day moving average on September 25, 2026. This could be a long-term bullish signal for the stock as the stock shifts to an upward trend.
Following a +4.52% 3-day Advance, the price is estimated to grow further. Considering data from situations where SGDJ advanced for three days, in 310 of 342 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
SGDJ may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
SGDM saw its Moving Average Convergence Divergence Histogram (MACD) turn negative on October 22, 2026. This is a bearish signal that suggests the stock could decline going forward. Tickeron's A.I.dvisor looked at 49 instances where the indicator turned negative. In 45 of the 49 cases the stock moved lower in the days that followed. This puts the odds of a downward move at 90%.
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In 65 of 74 cases where SGDM's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are 88%.
The Momentum Indicator moved below the 0 level on October 22, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on SGDM as a result. In 75 of 84 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 89%.
SGDM moved below its 50-day moving average on September 28, 2026 date and that indicates a change from an upward trend to a downward trend.
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 11 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 85%.
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 22, 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 50-day moving average for SGDM moved above the 200-day moving average on September 28, 2026. This could be a long-term bullish signal for the stock as the stock shifts to an upward trend.
Following a +5.90% 3-day Advance, the price is estimated to grow further. Considering data from situations where SGDM advanced for three days, in 292 of 319 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.
| SGDJ | SGDM | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | N/A |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 88% |
| Momentum ODDS (%) | N/A | 2 days ago 89% |
| MACD ODDS (%) | N/A | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 86% | 2 days ago 87% |
| TrendMonth ODDS (%) | 2 days ago 86% | 2 days ago 87% |
| Advances ODDS (%) | 8 days ago 90% | 8 days ago 90% |
| Declines ODDS (%) | 4 days ago 85% | 4 days ago 88% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 82% | 2 days ago 89% |
A.I.dvisor indicates that over the last year, SGDJ has been closely correlated with SKE. These tickers have moved in lockstep 87% of the time. This A.I.-generated data suggests there is a high statistical probability that if SGDJ jumps, then SKE could also see price increases.
| Ticker / NAME | Correlation To SGDJ | 1D Price Change % | ||
|---|---|---|---|---|
| SGDJ | 100% | -6.99% | ||
| SKE - SGDJ | 87% Closely correlated | -9.25% | ||
| OGC - SGDJ | 86% Closely correlated | -5.53% | ||
| EQX - SGDJ | 86% Closely correlated | -6.16% | ||
| DRD - SGDJ | 85% Closely correlated | -6.02% | ||
| SA - SGDJ | 84% Closely correlated | -4.28% | ||
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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% | -6.16% | ||
| AEM - SGDM | 96% Closely correlated | -5.98% | ||
| WPM - SGDM | 95% Closely correlated | -6.54% | ||
| IAG - SGDM | 93% Closely correlated | -7.86% | ||
| NEM - SGDM | 93% Closely correlated | -2.62% | ||
| PAAS - SGDM | 91% Closely correlated | -5.91% | ||
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