SGDM and SILJ both deliver targeted equity exposure within the precious metals mining sector, yet they pursue distinct strategies that make them relevant alternatives rather than direct competitors. SGDM focuses on larger gold mining firms using quantitative factors, while SILJ emphasizes smaller silver mining companies. Investors comparing these exchange-traded funds (ETFs) often seek differentiated ways to gain commodity price sensitivity through equities. The comparison highlights variations in risk, cost, and thematic emphasis that influence portfolio construction decisions across market cycles.
The Sprott Gold Miners ETF (SGDM) seeks to track the Solactive Gold Miners Custom Factors Index. The index applies a rules-based methodology that begins with market-capitalization weighting and then adjusts allocations based on three fundamental factors: higher revenue growth, higher free cash flow yield, and lower long-term debt-to-equity ratios. The fund typically holds around 40 securities focused on gold mining companies listed primarily on North American exchanges. Top holdings commonly include Agnico Eagle Mines Limited (AEM), Newmont Corporation (NEM), Wheaton Precious Metals Corp. (WPM), Franco-Nevada Corporation (FNV), and Kinross Gold Corporation (K). Sector allocation centers almost entirely on materials, specifically gold mining. SGDM charges an expense ratio of 0.46% and reconstitutes quarterly. It employs a passive, open-end structure without leverage.
The Amplify Junior Silver Miners ETF (SILJ) tracks the Nasdaq Junior Silver Miners Index, which selects companies deriving the majority of revenues from silver mining, production, or related exploration and development activities. The index uses a thematic market-capitalization weighting approach and rebalances quarterly. SILJ generally holds approximately 60 positions concentrated in junior and small-cap silver miners. Representative top holdings include Hecla Mining Co. (HL), First Majestic Silver Corp. (AG), Coeur Mining Inc. (CDE), Wheaton Precious Metals Corp. (WPM), and Endeavour Silver Corp. (EXK). Allocation remains almost exclusively within basic materials. The ETF carries an expense ratio of 0.69% and follows a passive, non-leveraged, open-end structure.
The precious metals mining sector responds to gold and silver price trends driven by inflation expectations, interest rate policy, geopolitical tensions, and industrial demand. Gold miners benefit primarily from monetary demand, while silver miners gain additional exposure from solar panel manufacturing, electronics, and medical applications. Capital flows into mining equities often accelerate during periods of monetary easing or heightened uncertainty. Regulatory developments around permitting and environmental standards can influence project timelines for both gold and silver producers. Sector risks include commodity price volatility, operational challenges at remote sites, and sensitivity to broader equity market sentiment.
In recent market cycles, SGDM has demonstrated relatively more stable participation in gold price movements due to its focus on established producers with stronger balance sheets. SILJ has exhibited higher volatility and greater sensitivity to silver price swings, consistent with its junior miner emphasis. During periods of rising precious metals prices, SILJ’s smaller-capitalization holdings have historically amplified returns, while SGDM’s factor tilt toward cash-flow efficiency has supported resilience in more moderate environments. Relative positioning reflects trade-offs between cost efficiency and diversification breadth versus targeted leverage to specific commodity price dynamics.
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 into ETFs such as SGDM and SILJ can leverage the platform to refine their research process.
Tickeron’s AI would currently favor SGDM on a probabilistic basis due to its lower expense ratio, more concentrated exposure to established gold producers, and factor-based methodology that emphasizes financial strength. These characteristics support relatively consistent participation in precious metals trends with a more moderate risk profile compared to SILJ’s higher-cost junior silver focus. The assessment rests on observable structural attributes and sector positioning 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.
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.
SILJ 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 35 of 36 similar past instances, the stock price decreased further within the following month. The odds of a continued downward trend are 90%.
The 10-day moving average for SILJ crossed bearishly below the 50-day moving average on September 30, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 14 of 15 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 SILJ 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 89%.
The Aroon Indicator for SILJ 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 SILJ'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 is in the oversold zone. Keep an eye out for a move up in the foreseeable future.
Following a +3.72% 3-day Advance, the price is estimated to grow further. Considering data from situations where SILJ advanced for three days, in 282 of 308 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
SILJ may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
| SGDM | SILJ | |
|---|---|---|
| RSI ODDS (%) | N/A | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 88% | 1 day ago 90% |
| Momentum ODDS (%) | 1 day ago 89% | N/A |
| MACD ODDS (%) | 1 day ago 90% | N/A |
| TrendWeek ODDS (%) | 1 day ago 87% | 1 day ago 89% |
| TrendMonth ODDS (%) | 1 day ago 87% | 1 day ago 90% |
| Advances ODDS (%) | 8 days ago 90% | 8 days ago 90% |
| Declines ODDS (%) | 4 days ago 88% | 4 days ago 89% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 89% | 1 day ago 90% |
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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