SGDM
Price
$73.82
Change
-$1.63 (-2.16%)
Updated
Aug 13 closing price
Net Assets
666.78M
Intraday BUY SELL Signals
SILJ
Price
$29.44
Change
-$0.72 (-2.39%)
Updated
Aug 13 closing price
Net Assets
3.99B
Intraday BUY SELL Signals
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SGDM vs SILJ

SGDM vs SILJ Comparison Chart in %
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A.I.Advisor
Aug 07, 2026

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

Key Takeaways

  • SGDM tracks a custom factors-based index of larger gold mining companies, emphasizing revenue growth, free cash flow yield, and low debt-to-equity ratios, while SILJ follows an index of smaller, junior silver mining companies.
  • SGDM offers lower costs with an expense ratio of 0.46% compared to SILJ’s 0.69%, providing a structural advantage in long-term holding scenarios.
  • SGDM typically holds around 48 securities focused on senior and mid-tier gold producers with some precious metals exposure, whereas SILJ targets approximately 70 holdings concentrated in junior silver explorers and producers.
  • Both ETFs provide thematic exposure to precious metals mining but differ in risk profiles: SGDM leans toward established gold operations, while SILJ emphasizes higher-volatility junior silver names.
  • SGDM reconstitutes its index quarterly based on factor scores; SILJ maintains a rules-based approach targeting companies deriving the majority of revenue from silver mining activities.
  • In a sector environment influenced by gold and silver price trends, interest rate expectations, and macroeconomic factors, SGDM’s cost efficiency and quality tilt may appeal for core allocations, while SILJ suits investors seeking leveraged exposure to silver price movements.

Introduction

SGDM and SILJ represent distinct approaches to precious metals equity exposure, both targeting mining companies but with different size, commodity, and factor emphases. SGDM and SILJ do not compete directly as identical products; instead, they offer alternative strategies within the broader gold and silver mining sector. Investors comparing these exchange-traded funds (ETFs) often seek to understand trade-offs between established gold producers and higher-risk junior silver names amid fluctuating commodity prices and economic cycles.

Sprott Gold Miners ETF (SGDM) Overview

SGDM is a passively managed ETF that seeks to track the Solactive Gold Miners Custom Factors Index. The index applies a transparent, rules-based methodology to select larger-sized gold companies listed on Canadian and major U.S. exchanges, prioritizing those with the highest scores in revenue growth, free cash flow yield, and lowest long-term debt-to-equity ratios. The fund typically holds around 48 securities and rebalances quarterly. Top holdings often include names such as Agnico Eagle Mines Ltd., Barrick Mining Corp., Newmont Corp., Wheaton Precious Metals Corp., and Franco-Nevada Corp. Sector allocation centers predominantly on gold mining (approximately 85%), with smaller allocations to other precious metals. SGDM carries an expense ratio of 0.46%. The ETF structure provides straightforward market exposure without leverage or active management overlays.

Amplify Junior Silver Miners ETF (SILJ) Overview

SILJ is a passively managed ETF designed to track the Nasdaq Junior Silver Miners Index. The index focuses on smaller companies engaged in silver mining, exploration, and development that derive the majority of revenues from silver-related activities. The fund typically holds around 70 securities, with an emphasis on pure-play junior silver miners. Holdings are concentrated in smaller market-capitalization names globally. SILJ features an expense ratio of 0.69%. The strategy remains rules-based and passive, with no use of leverage or derivatives for enhanced returns. This structure delivers targeted exposure to the junior segment of the silver mining industry.

Industry and Thematic Backdrop

The precious metals mining sector responds to gold and silver price dynamics, global economic growth prospects, inflation expectations, and monetary policy shifts. Capital flows into the sector often increase during periods of heightened geopolitical uncertainty or when real yields decline. Regulatory developments around mining permits and environmental standards can influence operational costs for producers. Both gold and silver mining equities face risks from commodity price volatility, rising input costs, and labor or supply-chain disruptions. Silver mining, in particular, carries additional sensitivity to industrial demand drivers such as electronics and solar energy, alongside its monetary role.

Performance and Positioning Comparison

In recent market cycles, SGDM has generally exhibited lower volatility due to its focus on larger, more established gold producers with stronger balance sheets. SILJ, by contrast, has tended toward higher price swings consistent with its junior silver focus, amplifying movements in silver prices. Relative positioning reflects differing commodity tilts: SGDM benefits more directly from gold price stability and operational efficiency among senior miners, while SILJ captures amplified upside (and downside) from silver price rallies and exploration success. Sector rotation tied to interest rate expectations and broader risk sentiment influences both, though SGDM’s factor emphasis on free cash flow and debt levels provides a buffer in challenging operating environments compared with SILJ’s smaller-cap orientation.

AI Screener

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 like SGDM and SILJ may find the tool useful for ongoing market monitoring.

Tickeron AI Verdict

Based on observable structural factors including lower expense ratio, broader diversification across established gold producers, and a quality-oriented factor methodology, Tickeron’s AI would currently assign a higher probability of preference to SGDM over SILJ for investors prioritizing cost efficiency and relative stability within the precious metals sector. SILJ offers distinct value for those seeking concentrated junior silver exposure, though its higher costs and volatility profile introduce additional considerations.

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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SGDM vs. SILJ commentary
Aug 14, 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 Buy and SILJ is a Buy.

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SUMMARIES
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FUNDAMENTALS
Fundamentals
SILJ has more net assets: 3.99B vs. SGDM (667M). SILJ has a higher annual dividend yield than SGDM: SILJ (6.397) vs SGDM (6.018). SGDM was incepted earlier than SILJ: SGDM (12 years) vs SILJ (14 years). SGDM (0.46) has a lower expense ratio than SILJ (0.69). SGDM has a higher turnover SILJ (47.00) vs SILJ (47.00).
SGDMSILJSGDM / SILJ
Gain YTD6.0186.39794%
Net Assets667M3.99B17%
Total Expense Ratio0.460.6967%
Turnover59.0047.00126%
Yield1.182.3051%
Fund Existence12 years14 years-
TECHNICAL ANALYSIS
Technical Analysis
SGDMSILJ
RSI
ODDS (%)
Bearish Trend 1 day ago
90%
Bearish Trend 1 day ago
90%
Stochastic
ODDS (%)
Bearish Trend 1 day ago
90%
Bearish Trend 1 day ago
90%
Momentum
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
90%
MACD
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
90%
TrendWeek
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
90%
TrendMonth
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
90%
Advances
ODDS (%)
Bullish Trend 3 days ago
90%
Bullish Trend 3 days ago
90%
Declines
ODDS (%)
Bearish Trend 17 days ago
88%
Bearish Trend 17 days ago
89%
BollingerBands
ODDS (%)
Bearish Trend 1 day ago
87%
Bearish Trend 1 day ago
90%
Aroon
ODDS (%)
Bearish Trend 1 day ago
90%
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%
-2.16%
AEM - SGDM
96%
Closely correlated
-2.60%
WPM - SGDM
95%
Closely correlated
-2.24%
NEM - SGDM
92%
Closely correlated
-3.10%
IAG - SGDM
92%
Closely correlated
-1.77%
PAAS - SGDM
92%
Closely correlated
-9.70%
More

SILJ and

Correlation & Price change

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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SILJ
1D Price
Change %
SILJ100%
-2.39%
PAAS - SILJ
94%
Closely correlated
-9.70%
CDE - SILJ
91%
Closely correlated
-1.86%
WPM - SILJ
91%
Closely correlated
-2.24%
SKE - SILJ
87%
Closely correlated
-1.23%
OR - SILJ
86%
Closely correlated
-2.67%
More