Investors seeking exposure to junior precious metals miners often compare SGDJ and SILJ because both target smaller companies involved in gold or silver production. These exchange-traded funds (ETFs) do not compete directly but instead provide differentiated access within the same broad sector. SGDJ emphasizes gold-focused juniors, while SILJ concentrates on silver miners. The comparison helps investors evaluate structural distinctions, cost structures, and thematic positioning amid fluctuating commodity prices and macroeconomic conditions.
The Sprott Junior Gold Miners ETF (SGDJ) seeks to track the Solactive Junior Gold Miners Custom Factors Index. It employs a passive, multi-factor strategy that selects junior gold companies primarily in the United States, Canada, and Australia. The fund typically holds a concentrated portfolio of equity securities from smaller gold producers and developers. Its expense ratio stands at 0.50%. Rebalancing occurs semi-annually. SGDJ is structured as an open-ended fund and focuses on physical replication of the underlying index components. Distinguishing features include its emphasis on custom factors for security selection within the junior gold segment.
The Amplify Junior Silver Miners ETF (SILJ) tracks the Nasdaq Junior Silver Miners Index. It follows a passive, thematic market-capitalization weighted approach targeting companies that derive the majority of revenues from silver mining, production, or related exploration. The fund holds approximately 60 securities and maintains an expense ratio of 0.69%. Rebalancing occurs quarterly. SILJ is structured as an open-ended fund with physical replication. Its primary distinction lies in exclusive focus on the junior silver mining theme, providing dedicated exposure to smaller silver producers globally.
The junior precious metals mining sector responds to gold and silver price movements, industrial demand for silver, and broader economic factors such as inflation expectations and interest rate trends. Capital flows into these ETFs often increase during periods of monetary easing or heightened geopolitical uncertainty. Regulatory developments in mining jurisdictions and supply constraints can influence both gold and silver juniors. Macroeconomic drivers include currency fluctuations and equity market rotations into defensive commodities. Sector risks encompass operational challenges for smaller miners, commodity price volatility, and liquidity constraints during market stress.
In recent market cycles, SGDJ has shown relatively stable behavior tied to gold price trends and earnings from its top holdings, reflecting lower volatility compared to silver-focused peers. SILJ has exhibited greater sensitivity to silver price swings and industrial demand shifts, leading to more pronounced movements during sector rotations. Both ETFs respond to interest rate expectations and commodity trends, yet their relative positioning differs: gold juniors often serve as a store-of-value hedge, while silver juniors incorporate additional industrial exposure. Performance differentials arise from commodity-specific dynamics rather than isolated events.
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 SILJ can leverage this platform for efficient analysis.
Based on observable structural factors, Tickeron’s AI would currently assign a modest probabilistic preference to SGDJ due to its lower expense ratio, focused multi-factor methodology, and comparatively stable risk profile within the gold juniors segment. SILJ offers attractive diversification in silver but carries a higher cost structure and greater exposure to industrial demand volatility. The assessment rests on cost efficiency, thematic consistency, and diversification characteristics rather than short-term signals.
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.
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.
| SGDJ | SILJ | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | N/A | N/A |
| MACD ODDS (%) | N/A | N/A |
| TrendWeek ODDS (%) | 2 days ago 86% | 2 days ago 89% |
| TrendMonth ODDS (%) | 2 days ago 86% | 2 days ago 90% |
| Advances ODDS (%) | 8 days ago 90% | 8 days ago 90% |
| Declines ODDS (%) | 4 days ago 85% | 4 days ago 89% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 82% | 2 days ago 90% |
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, SILJ has been closely correlated with PAAS. These tickers have moved in lockstep 94% of the time. This A.I.-generated data suggests there is a high statistical probability that if SILJ jumps, then PAAS could also see price increases.
| Ticker / NAME | Correlation To SILJ | 1D Price Change % | ||
|---|---|---|---|---|
| SILJ | 100% | -7.04% | ||
| PAAS - SILJ | 94% Closely correlated | -5.91% | ||
| WPM - SILJ | 92% Closely correlated | -6.54% | ||
| CDE - SILJ | 92% Closely correlated | -8.26% | ||
| SKE - SILJ | 90% Closely correlated | -9.25% | ||
| OR - SILJ | 89% Closely correlated | -4.25% | ||
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