Investors seeking exposure to precious-metals mining frequently compare GDXJ and SILJ because both target junior companies in the gold and silver sectors. These ETFs do not compete head-to-head; instead, they offer differentiated commodity exposure within the broader metals-mining theme. GDXJ emphasizes gold-focused juniors with some silver overlap, while SILJ isolates silver producers and explorers. The comparison helps investors match structural characteristics, cost structures, and thematic drivers to portfolio objectives in an environment shaped by commodity cycles and macroeconomic factors.
GDXJ seeks to replicate the MVIS Global Junior Gold Miners Index before fees and expenses. The index selects small-capitalization companies deriving the majority of revenue from gold and/or silver mining. The fund typically holds approximately 80 to 160 securities, with top positions concentrated in names such as Alamos Gold, Coeur Mining, and IAMGOLD. Sector allocation is overwhelmingly basic materials, reflecting its pure-play mining mandate. The expense ratio stands at 0.52%. GDXJ employs a passive, market-capitalization-weighted methodology with quarterly rebalancing to track the underlying index. Its structure provides leveraged beta to gold prices through earlier-stage operations, distinguishing it from large-cap gold ETFs.
SILJ tracks the Nasdaq Junior Silver Miners Index, targeting companies that derive the majority of revenue from silver mining, production, or related exploration. The fund holds roughly 60 to 70 securities, led by holdings such as Hecla Mining, First Majestic Silver, and Coeur Mining. Allocation remains concentrated in basic materials, with minimal diversification outside silver-centric operations. The expense ratio is 0.69%. SILJ uses a passive, thematic market-capitalization weighting scheme and rebalances quarterly. Its narrower focus on silver creates higher sensitivity to industrial and solar demand trends compared with broader precious-metals vehicles.
Both ETFs operate within the junior precious-metals mining sector, which is influenced by gold and silver price movements, interest-rate expectations, and global industrial activity. Gold miners in GDXJ often respond to monetary-policy shifts and inflation-hedging demand, while SILJ’s silver exposure benefits from solar-panel manufacturing and electronics usage. Capital flows into the sector fluctuate with commodity cycles, regulatory permitting timelines, and geopolitical supply risks. Recent market cycles have highlighted the sector’s sensitivity to macroeconomic variables, including currency strength and energy costs, without reliance on short-term price fluctuations.
In recent weeks and months, relative performance between the two ETFs has reflected divergences in gold versus silver price momentum and sector rotation within materials. GDXJ’s broader gold tilt has positioned it to capture monetary-policy-related flows, while SILJ has shown greater responsiveness to industrial demand indicators. Both vehicles exhibit elevated volatility characteristic of junior miners, with GDXJ generally offering slightly lower expense drag. Positioning differences arise primarily from commodity beta rather than operational leverage alone, allowing investors to tilt exposure based on prevailing metal-price outlooks and macroeconomic conditions.
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 GDXJ and SILJ may find the platform’s analytical capabilities useful for ongoing research.
Based on observable structural factors, Tickeron’s AI would currently assign a modestly higher probability of favorability to GDXJ. The lower expense ratio, broader diversification across gold-dominant holdings, and established index methodology contribute to a more efficient risk-adjusted profile within the junior-miners category. SILJ remains a compelling option for investors specifically seeking concentrated silver exposure, though its higher cost and narrower focus introduce marginally elevated structural considerations in a comparative framework.
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 50-day moving average for GDXJ moved below the 200-day moving average on October 27, 2026. This could be a long-term bearish signal for the stock as the stock shifts to an downward trend.
The 10-day moving average for GDXJ 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 11 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 79%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where GDXJ 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 GDXJ entered a downward trend on November 03, 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 points to a transition from a downward trend to an upward trend -- in cases where GDXJ's RSI Indicator exited the oversold zone, 21 of 21 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 90%.
The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 2 days, which means it's wise to expect a price bounce in the near future.
Following a +4.48% 3-day Advance, the price is estimated to grow further. Considering data from situations where GDXJ advanced for three days, in 267 of 295 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
GDXJ may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The RSI Indicator for SILJ moved into overbought territory on November 03, 2026. Be on the watch for a price drop or consolidation in the future -- when this happens, think about selling the stock or exploring put 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.
Following a +5.19% 3-day Advance, the price is estimated to grow further. Considering data from situations where SILJ advanced for three days, in 281 of 307 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.
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 13 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 87%.
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 88%.
The Aroon Indicator for SILJ entered a downward trend on November 03, 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.
| GDXJ | 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 87% | 2 days ago 89% |
| TrendMonth ODDS (%) | 2 days ago 85% | 2 days ago 90% |
| Advances ODDS (%) | 8 days ago 90% | 8 days ago 90% |
| Declines ODDS (%) | 6 days ago 86% | 6 days ago 88% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 86% | 2 days ago 90% |
A.I.dvisor indicates that over the last year, GDXJ has been closely correlated with KGC. These tickers have moved in lockstep 93% of the time. This A.I.-generated data suggests there is a high statistical probability that if GDXJ jumps, then KGC could also see price increases.
| Ticker / NAME | Correlation To GDXJ | 1D Price Change % | ||
|---|---|---|---|---|
| GDXJ | 100% | -2.13% | ||
| KGC - GDXJ | 93% Closely correlated | -3.06% | ||
| PAAS - GDXJ | 93% Closely correlated | -1.62% | ||
| FSM - GDXJ | 92% Closely correlated | -2.86% | ||
| EQX - GDXJ | 91% Closely correlated | -0.79% | ||
| CGAU - GDXJ | 91% Closely correlated | -4.67% | ||
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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% | -1.67% | ||
| PAAS - SILJ | 94% Closely correlated | -1.62% | ||
| WPM - SILJ | 92% Closely correlated | -1.45% | ||
| CDE - SILJ | 92% Closely correlated | +0.68% | ||
| SKE - SILJ | 90% Closely correlated | -1.32% | ||
| OR - SILJ | 88% Closely correlated | -1.89% | ||
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