SGDM
Price
$68.73
Change
-$4.51 (-6.16%)
Updated
Oct 22 closing price
Net Assets
642.11M
Intraday BUY SELL Signals
SILJ
Price
$23.65
Change
-$1.79 (-7.04%)
Updated
Oct 22 closing price
Net Assets
3.28B
Intraday BUY SELL Signals
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SGDM vs SILJ

SGDM vs SILJ Comparison Chart in %
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A.I.Advisor
Oct 21, 2026

Which ETF would AI Choose? Sprott Gold Miners ETF (SGDM) vs. Amplify Junior Silver Miners ETF (SILJ)

Key Takeaways

  • SGDM provides exposure to senior and mid-tier gold mining companies through a factor-weighted index emphasizing revenue growth, free cash flow yield, and lower debt-to-equity ratios, while SILJ targets smaller, higher-risk junior silver miners with a thematic market-cap approach.
  • SGDM maintains a lower expense ratio of 0.46% compared to SILJ’s 0.69%, offering cost efficiency for longer-term holdings within the precious metals equity space.
  • SGDM typically holds fewer positions (approximately 40) concentrated in established gold producers, whereas SILJ offers broader diversification across roughly 60 junior silver-focused names, increasing volatility but potential upside in silver price rallies.
  • Both ETFs operate as passive, non-leveraged structures tracking custom equity indices in the materials sector, with quarterly rebalancing, and appeal to investors seeking commodity-linked equity exposure rather than direct physical metal ownership.
  • SGDM’s gold-centric mandate provides relatively lower correlation to industrial demand cycles than SILJ’s silver exposure, which benefits from both monetary and industrial uses such as solar and electronics manufacturing.
  • Structural differences position SGDM for more stable large-cap miner participation and SILJ for higher-beta junior miner leverage to precious metals price movements.

Introduction

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.

Sprott Gold Miners ETF (SGDM) Overview

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.

Amplify Junior Silver Miners ETF (SILJ) Overview

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.

Industry and Thematic Backdrop

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.

Performance and Positioning Comparison

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.

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. Investors seeking data-driven insights into ETFs such as SGDM and SILJ can leverage the platform to refine their research process.

Tickeron AI Verdict

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.

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

VS
SGDM vs. SILJ commentary
Oct 23, 2026

To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is SGDM is a Hold and SILJ is a Hold.

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SUMMARIES
A.I.Advisor
a Summary for SGDM with price predictions
Oct 22, 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 45 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 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.

Bullish Trend Analysis

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 SILJ with price predictions
Oct 22, 2026

SILJ in downward trend: price dove below 50-day moving average on September 28, 2026

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%.

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

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.

Bullish Trend Analysis

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.

TECHNICAL ANALYSIS
Technical Analysis
SGDMSILJ
RSI
ODDS (%)
N/A
Bullish Trend 1 day ago
90%
Stochastic
ODDS (%)
Bearish Trend 1 day ago
88%
Bullish Trend 1 day ago
90%
Momentum
ODDS (%)
Bearish Trend 1 day ago
89%
N/A
MACD
ODDS (%)
Bearish Trend 1 day ago
90%
N/A
TrendWeek
ODDS (%)
Bearish Trend 1 day ago
87%
Bearish Trend 1 day ago
89%
TrendMonth
ODDS (%)
Bearish Trend 1 day ago
87%
Bearish Trend 1 day ago
90%
Advances
ODDS (%)
Bullish Trend 8 days ago
90%
Bullish Trend 8 days ago
90%
Declines
ODDS (%)
Bearish Trend 4 days ago
88%
Bearish Trend 4 days ago
89%
BollingerBands
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
90%
Aroon
ODDS (%)
Bearish Trend 1 day ago
89%
Bearish Trend 1 day ago
90%
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SGDM
Daily Signal:
Gain/Loss:
SILJ
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%
-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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