GDXJ
Price
$99.35
Change
-$1.85 (-1.83%)
Updated
Oct 23 closing price
Net Assets
8.02B
Intraday BUY SELL Signals
SGDM
Price
$67.38
Change
-$1.35 (-1.96%)
Updated
Oct 23 closing price
Net Assets
642.11M
Intraday BUY SELL Signals
SIL
Price
$74.06
Change
-$1.93 (-2.54%)
Updated
Oct 23 closing price
Net Assets
4.1B
Intraday BUY SELL Signals
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GDXJ or SGDM or SIL

GDXJ vs SGDM vs SIL Comparison Chart in %
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A.I.Advisor
Oct 20, 2026

Which ETF would AI Choose? VanEck Junior Gold Miners ETF (GDXJ) vs. Sprott Gold Miners ETF (SGDM) vs. Global X Silver Miners ETF (SIL)

Key Takeaways

  • GDXJ, SGDM, and SIL provide distinct exposures within the precious metals mining theme: GDXJ targets junior gold and silver miners, SGDM emphasizes larger gold producers with factor-based selection, and SIL focuses exclusively on silver miners.
  • Expense ratios differ meaningfully, with SGDM at 0.46%, GDXJ at 0.52%, and SIL at 0.65%, influencing long-term cost efficiency for investors.
  • Holdings concentration varies: GDXJ offers broad diversification across approximately 162 holdings of smaller companies, while SIL maintains a more concentrated portfolio of about 39 silver-focused names and SGDM blends senior gold miners with quantitative factors.
  • Risk profiles reflect structural differences, as junior miners in GDXJ tend to exhibit higher volatility and beta to gold prices compared to the senior-focused or silver-specific approaches in SGDM and SIL.
  • Thematic tilts position these ETFs differently within the gold and silver sectors, with GDXJ and SGDM centered on gold production and SIL providing dedicated silver mining exposure that may respond to industrial demand drivers.
  • Relative positioning in recent market cycles highlights how index construction and market-capitalization focus influence sensitivity to commodity prices, mining margins, and broader economic conditions.

Introduction

GDXJ, SGDM, and SIL represent three specialized approaches to precious metals mining equities, allowing investors to compare tiered risk exposures and strategic methodologies within the same broad sector. While all track indexes tied to gold or silver producers, they differ in company size focus, selection criteria, and commodity emphasis. GDXJ and SGDM center on gold miners at different development stages, whereas SIL isolates silver mining companies. These structural variations make the trio relevant for investors seeking diversified or targeted exposure to mining equities amid fluctuating commodity prices and macroeconomic conditions.

VanEck Junior Gold Miners ETF (GDXJ) Overview

VanEck Junior Gold Miners ETF (GDXJ) seeks to replicate the MVIS Global Junior Gold Miners Index, which tracks small-capitalization companies primarily involved in gold and silver mining. The fund holds approximately 162 securities, emphasizing earlier-stage or junior miners with potential for higher growth but elevated risk. Top holdings typically include names such as Alamos Gold Inc., Equinox Gold Corp., and Coeur Mining Inc. Sector allocation concentrates nearly entirely in basic materials, with gold and silver mining dominating. The expense ratio stands at 0.52%. As a passive, market-capitalization-weighted ETF, it rebalances periodically to maintain index alignment and caps individual holdings to promote diversification. This structure delivers leveraged exposure to precious metals prices through smaller producers.

Sprott Gold Miners ETF (SGDM) Overview

Sprott Gold Miners ETF (SGDM) tracks the Solactive Gold Miners Custom Factors Index, targeting larger-sized gold companies listed on major North American exchanges. The index applies rules-based factors including revenue growth, free cash flow yield, and low long-term debt-to-equity ratios to tilt toward fundamentally stronger senior producers. Holdings number fewer than in junior-focused peers, with emphasis on established operators. Top positions often feature Agnico Eagle Mines Limited and Newmont Corporation. Allocation remains focused on basic materials within the gold mining niche. The expense ratio is 0.46%. Quarterly index reconstitution incorporates the factor methodology, distinguishing SGDM as a smart-beta approach within the gold miners category rather than a pure market-cap passive vehicle.

Global X Silver Miners ETF (SIL) Overview

Global X Silver Miners ETF (SIL) aims to track the Solactive Global Silver Miners Total Return Index, providing exposure to companies engaged in silver mining and related activities worldwide. The portfolio contains approximately 39 holdings, resulting in higher concentration than gold-focused peers. Leading positions commonly include Wheaton Precious Metals Corp., Pan American Silver Corp., and Coeur Mining Inc. Sector weights align almost exclusively with basic materials, centered on silver production. The expense ratio is 0.65%. As a passive index-tracking ETF, SIL reconstitutes and rebalances semi-annually. This design offers targeted access to silver miners, whose revenues may incorporate both precious metals pricing and industrial applications of silver.

Industry and Thematic Landscape

The precious metals mining sector operates under influences from gold and silver price movements, mining operational costs, regulatory environments, and global economic cycles. Capital flows into mining equities often respond to inflation expectations, interest rate trajectories, and geopolitical tensions that affect safe-haven demand. Major holdings across these ETFs generate earnings tied to metal output volumes, realized prices, and cost management. Silver miners face additional sensitivity to industrial demand from electronics, solar energy, and manufacturing, while gold producers benefit primarily from monetary and investment demand. Sector risks include permitting delays, labor issues, environmental regulations, and commodity price volatility that can pressure margins across producers of varying sizes.

Performance and Positioning Comparison

In recent market cycles, structural differences have driven varied behaviors among GDXJ, SGDM, and SIL. GDXJ’s junior miner focus has historically amplified movements with gold prices, leading to greater volatility and larger drawdowns during downturns but potential outperformance in strong bull phases. SGDM’s factor tilt toward larger, financially stronger producers may contribute to relatively more stable trends and lower concentration risk compared with pure junior exposure. SIL’s silver-specific mandate introduces distinct performance drivers, as silver prices can decouple from gold due to industrial usage patterns, resulting in different sensitivity to economic growth indicators. These variations stem directly from index methodologies, holdings concentration, and commodity tilts rather than short-term price fluctuations.

AI Screener

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.

Tickeron AI Verdict

Based on observable structural attributes, Tickeron’s AI would currently assign a probabilistic preference to Sprott Gold Miners ETF (SGDM). Its lower expense ratio, factor-enhanced selection of senior gold producers, and emphasis on financial metrics such as free cash flow yield and debt levels support stronger risk-adjusted positioning and cost efficiency relative to the higher-volatility junior focus of VanEck Junior Gold Miners ETF (GDXJ) or the concentrated silver exposure and higher fees of Global X Silver Miners ETF (SIL). This assessment reflects durable design characteristics rather than any guarantee of future results.

Disclaimer

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.

Disclaimers and Limitations

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SUMMARIES
A.I.Advisor
a Summary for GDXJ with price predictions
Oct 23, 2026

GDXJ in downward trend: 10-day moving average crossed below 50-day moving average on October 02, 2026

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 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%.

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

The Momentum Indicator moved below the 0 level on September 23, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on GDXJ as a result. In 68 of 78 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 87%.

GDXJ 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.

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 October 23, 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.

Bullish Trend Analysis

The RSI Indicator entered the oversold zone -- be on the watch for GDXJ'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 GDXJ moved above the 200-day moving average on October 08, 2026. This could be a long-term bullish signal for the stock as the stock shifts to an upward trend.

Following a +4.93% 3-day Advance, the price is estimated to grow further. Considering data from situations where GDXJ advanced for three days, in 268 of 296 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.

A.I.Advisor
a Summary for SGDM with price predictions
Oct 23, 2026

SGDM sees MACD Histogram just turned negative

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 44 of the 49 cases the stock moved lower in the days that followed. This puts the odds of a downward move at 90%.

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

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 69 of 83 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 83%.

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 10 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 77%.

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 23, 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.

Bullish Trend Analysis

The Stochastic Oscillator is in the oversold zone. Keep an eye out for a move up in the foreseeable future.

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.

A.I.Advisor
a Summary for SIL with price predictions
Oct 23, 2026

SIL's Indicator enters downward trend

The Aroon Indicator for SIL entered a downward trend on October 23, 2026. Tickeron's A.I.dvisor identified a pattern where the AroonDown red line was above 70 while the AroonUp green line was below 30 for three straight days. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options. A.I.dvisor looked at 150 similar instances where the Aroon Indicator formed such a pattern. In 132 of the 150 cases the stock moved lower. This puts the odds of a downward move at 88%.

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

SIL 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 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 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 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%.

Bullish Trend Analysis

The RSI Indicator demonstrates 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 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 SIL moved above the 200-day moving average on October 07, 2026. This could be a long-term bullish signal for the stock as the stock shifts to an upward trend.

Following a +3.73% 3-day Advance, the price is estimated to grow further. Considering data from situations where SIL advanced for three days, in 296 of 321 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.

TECHNICAL ANALYSIS
Technical Analysis
GDXJSGDMSIL
RSI
ODDS (%)
Bullish Trend 2 days ago
90%
N/A
Bullish Trend 2 days ago
90%
Stochastic
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Momentum
ODDS (%)
Bearish Trend 2 days ago
87%
Bearish Trend 2 days ago
83%
N/A
MACD
ODDS (%)
N/A
Bearish Trend 2 days ago
90%
N/A
TrendWeek
ODDS (%)
Bearish Trend 2 days ago
87%
Bearish Trend 2 days ago
87%
Bearish Trend 2 days ago
87%
TrendMonth
ODDS (%)
Bearish Trend 2 days ago
85%
Bearish Trend 2 days ago
87%
Bearish Trend 2 days ago
88%
Advances
ODDS (%)
Bullish Trend 9 days ago
90%
Bullish Trend 9 days ago
90%
Bullish Trend 9 days ago
90%
Declines
ODDS (%)
Bearish Trend 2 days ago
86%
Bearish Trend 2 days ago
88%
Bearish Trend 2 days ago
86%
BollingerBands
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Aroon
ODDS (%)
Bearish Trend 2 days ago
85%
Bearish Trend 2 days ago
89%
Bearish Trend 2 days ago
88%
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GDXJ
Daily Signal:
Gain/Loss:
SGDM
Daily Signal:
Gain/Loss:
SIL
Daily Signal:
Gain/Loss:
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SGDM and

Correlation & Price change

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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SGDM
1D Price
Change %
SGDM100%
-1.96%
AEM - SGDM
96%
Closely correlated
-1.25%
WPM - SGDM
95%
Closely correlated
-2.14%
IAG - SGDM
93%
Closely correlated
-0.97%
NEM - SGDM
93%
Closely correlated
-4.59%
AU - SGDM
91%
Closely correlated
-1.88%
More

SIL and

Correlation & Price change

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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SIL
1D Price
Change %
SIL100%
-2.54%
PAAS - SIL
95%
Closely correlated
-2.24%
WPM - SIL
95%
Closely correlated
-2.14%
CDE - SIL
91%
Closely correlated
-3.10%
OR - SIL
90%
Closely correlated
-1.44%
VZLA - SIL
82%
Closely correlated
-3.13%
More