SGDM
Price
$73.82
Change
-$1.63 (-2.16%)
Updated
Aug 13 closing price
Net Assets
666.78M
Intraday BUY SELL Signals
SIL
Price
$88.68
Change
-$2.63 (-2.88%)
Updated
Aug 13 closing price
Net Assets
4.93B
Intraday BUY SELL Signals
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SGDM vs SIL

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

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

Key Takeaways

  • Sprott Gold Miners ETF (SGDM) and Global X Silver Miners ETF (SIL) offer targeted equity exposure to precious metals mining companies, with SGDM emphasizing gold producers and SIL focusing on silver miners, resulting in distinct commodity price sensitivities.
  • SGDM employs a factor-based passive strategy tracking the Solactive Gold Miners Custom Factors Index with approximately 48-52 holdings and a lower expense ratio of 0.46%, while SIL follows a market-cap-weighted passive approach via the Solactive Global Silver Miners Total Return Index with about 39-40 holdings and a 0.65% expense ratio.
  • Both ETFs allocate nearly 100% to the basic materials sector, but SGDM's top holdings include large-cap gold producers such as Agnico Eagle Mines and Barrick Gold, whereas SIL features significant positions in silver streamers like Wheaton Precious Metals alongside pure-play silver miners.
  • SGDM provides broader diversification within gold mining equities through its custom factors methodology, potentially offering a more balanced risk profile compared to SIL's concentrated exposure to silver-specific operational and price dynamics.
  • Expense ratio differences create a structural cost advantage for SGDM, which may support better net returns over longer holding periods in similar market environments.
  • These ETFs serve complementary roles for investors seeking precious metals equity exposure rather than direct commodity futures or physical metal holdings, with performance influenced by gold versus silver price trends and mining sector fundamentals.

Introduction

Investors comparing precious metals mining equities often evaluate Sprott Gold Miners ETF (SGDM) and Global X Silver Miners ETF (SIL) as specialized vehicles within the same broad sector. These ETFs do not compete directly but provide differentiated exposure to gold-focused versus silver-focused mining companies, allowing investors to align portfolios with specific commodity outlooks or risk tolerances. Both follow passive indexing strategies and target the basic materials sector, making them relevant alternatives for thematic allocation in environments shaped by inflation hedging, monetary policy shifts, and industrial demand for precious metals.

Sprott Gold Miners ETF (SGDM) Overview

Sprott Gold Miners ETF (SGDM) seeks to track the performance of the Solactive Gold Miners Custom Factors Index before fees and expenses. The fund maintains a passive structure with a factor-based selection methodology that emphasizes gold mining companies exhibiting characteristics such as revenue growth, profitability, and balance sheet strength. It typically holds 48-52 securities, with top positions including Agnico Eagle Mines, Barrick Gold, Newmont, Wheaton Precious Metals, and Franco-Nevada. Sector allocation is concentrated at 100% in basic materials. The expense ratio stands at 0.46%. The ETF rebalances according to the underlying index rules, providing systematic exposure without active management intervention.

Global X Silver Miners ETF (SIL) Overview

Global X Silver Miners ETF (SIL) aims to replicate the Solactive Global Silver Miners Total Return Index before fees and expenses. This passive, market-capitalization-weighted fund focuses on companies primarily engaged in silver mining and related activities. It generally comprises 39-40 holdings, with notable positions in Wheaton Precious Metals, Pan American Silver, Coeur Mining, and other silver producers and streamers. Allocation remains fully within the basic materials sector. The expense ratio is 0.65%. Index-driven rebalancing maintains the fund's exposure profile in line with changes in constituent market values.

Industry and Thematic Backdrop

The precious metals mining sector operates within a macroeconomic environment influenced by gold and silver price movements, interest rate expectations, inflation trends, and geopolitical developments. Capital flows into mining equities often respond to broader risk sentiment and central bank policies, while regulatory considerations around environmental standards and permitting affect operational timelines for producers. Silver mining faces additional demand drivers from industrial applications such as solar energy and electronics, introducing distinct volatility compared to gold-focused operations. Both ETFs position investors for equity participation in these dynamics without direct commodity ownership, highlighting the role of mining company margins, production costs, and reserve management in performance outcomes.

Performance and Positioning Comparison

Over recent market cycles, SGDM and SIL have exhibited differentiated behavior tied to gold versus silver price trajectories and sector-specific rotations. SGDM's factor-tilted approach and larger-cap gold producer bias may contribute to relatively steadier performance during periods of gold price stability, while SIL's concentration in silver miners and streamers can amplify movements linked to industrial silver demand and supply constraints. Relative positioning reflects volatility differences stemming from commodity correlations, with gold equities often serving defensive hedging roles and silver equities showing greater sensitivity to economic growth indicators. Both funds demonstrate the impact of top holdings' earnings cycles and broader commodity trends on ETF-level returns across varying market regimes.

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. Visit the AI Screener to explore data-driven insights across equity and ETF universes.

Tickeron AI Verdict

Based on structural characteristics, Tickeron’s AI would currently assign a higher probability of favorability to Sprott Gold Miners ETF (SGDM) due to its lower expense ratio, factor-enhanced diversification across gold mining equities, and broader holdings profile relative to the more concentrated silver-focused approach of Global X Silver Miners ETF (SIL). These elements suggest potential advantages in cost efficiency and risk distribution within the precious metals equity space.

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. SIL 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 SIL is a Buy.

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SUMMARIES
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FUNDAMENTALS
Fundamentals
SIL has more net assets: 4.93B vs. SGDM (667M). SIL (6.325) and SGDM (6.018) have matching annual dividend yield . SGDM was incepted earlier than SIL: SGDM (12 years) vs SIL (16 years). SGDM (0.46) has a lower expense ratio than SIL (0.65). SGDM has a higher turnover SIL (27.57) vs SIL (27.57).
SGDMSILSGDM / SIL
Gain YTD6.0186.32595%
Net Assets667M4.93B14%
Total Expense Ratio0.460.6571%
Turnover59.0027.57214%
Yield1.181.3886%
Fund Existence12 years16 years-
TECHNICAL ANALYSIS
Technical Analysis
SGDMSIL
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
87%
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
87%
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
86%
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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%
-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%
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