SGDJ
Price
$101.30
Change
+$2.18 (+2.20%)
Updated
Aug 21 closing price
Net Assets
377.3M
Intraday BUY SELL Signals
SIL
Price
$99.55
Change
+$2.09 (+2.14%)
Updated
Aug 21 closing price
Net Assets
5.43B
Intraday BUY SELL Signals
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SGDJ vs SIL

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

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

Key Takeaways

  • Sprott Junior Gold Miners ETF (SGDJ) provides targeted exposure to smaller, higher-risk junior gold mining companies, while Global X Silver Miners ETF (SIL) offers broader access to silver mining firms of varying sizes.
  • Both ETFs track passive, rules-based equity indexes focused on precious metals miners and allocate nearly 100% to the basic materials sector.
  • SGDJ maintains a lower expense ratio of 0.50% compared with SIL at 0.65%, potentially enhancing net returns over longer holding periods.
  • SGDJ typically holds fewer securities (around 30) concentrated in junior gold developers and explorers, resulting in higher volatility relative to SIL, which holds approximately 40 positions including larger producers.
  • The two funds serve as complementary rather than direct competitors, giving investors differentiated ways to gain precious metals equity exposure tied to gold versus silver commodity cycles.
  • Structural differences in market capitalization focus and underlying metal emphasis influence each ETF’s sensitivity to commodity prices, interest rate movements, and sector-specific capital flows.

Introduction

Precious metals mining equities have attracted renewed investor interest amid fluctuating commodity prices and macroeconomic uncertainty. Sprott Junior Gold Miners ETF (SGDJ) and Global X Silver Miners ETF (SIL) both deliver equity exposure to the mining sector but target distinct segments: junior gold companies versus a wider array of silver producers. They do not compete head-to-head; instead, they offer alternative strategies for investors seeking precious metals equity participation without direct physical metal ownership. This comparison highlights their structural distinctions, risk profiles, and positioning within the broader metals and mining landscape.

Sprott Junior Gold Miners ETF (SGDJ) Overview

The Sprott Junior Gold Miners ETF (SGDJ) is a passively managed exchange-traded fund that seeks to track the performance of the Solactive Junior Gold Miners Custom Factors Index before fees and expenses. The index focuses on junior gold mining companies—primarily small-capitalization developers and explorers—based in the United States, Canada, and Australia. The fund typically holds around 30 securities and maintains a concentrated portfolio, with the top 10 holdings often representing nearly half of assets. Allocations are 100% in the basic materials sector. It carries an expense ratio of 0.50% and employs a non-diversified structure. Rebalancing follows the index methodology, with securities selected based on factors such as market capitalization and liquidity criteria. This design emphasizes higher-beta exposure to gold price movements through smaller operators.

Global X Silver Miners ETF (SIL) Overview

The Global X Silver Miners ETF (SIL) is a passively managed fund designed to replicate the Solactive Global Silver Miners Total Return Index before fees and expenses. The index includes companies engaged in silver mining, exploration, and related activities worldwide. The ETF generally holds approximately 40 securities, spanning mid- and large-capitalization producers alongside smaller firms. Sector exposure remains almost entirely within basic materials. It features an expense ratio of 0.65% and follows standard index rebalancing schedules. The broader inclusion criteria result in a more diversified profile than pure junior-focused vehicles, incorporating established silver miners that may also derive revenue from other metals.

Industry and Thematic Backdrop

Both ETFs operate within the precious metals mining industry, which responds to gold and silver price dynamics, global industrial demand, monetary policy shifts, and geopolitical developments. Silver benefits from growing industrial applications in electronics, solar energy, and electric vehicles, while gold serves primarily as a store of value and inflation hedge. Capital flows into mining equities often accelerate during periods of elevated commodity prices or heightened economic uncertainty. Regulatory changes affecting mining permits, environmental standards, and supply-chain constraints can influence sector performance. Macroeconomic drivers such as interest rate expectations and currency movements also affect relative attractiveness of gold- versus silver-oriented equities across market cycles.

Performance and Positioning Comparison

In recent market cycles, Sprott Junior Gold Miners ETF (SGDJ) has exhibited greater sensitivity to gold price rallies due to its focus on smaller, higher-operating-leverage companies. Global X Silver Miners ETF (SIL) has shown comparatively moderated volatility, reflecting its mix of larger producers and exposure to silver’s dual role as both monetary and industrial metal. Relative positioning shifts with commodity trends: gold-dominant environments tend to favor junior gold miners, while expanding industrial demand for silver can support broader silver miner performance. Both ETFs experience amplified movements during sector rotations driven by earnings cycles of key holdings and broader risk-on or risk-off sentiment. Investors use these vehicles for tactical allocation within precious metals equities rather than core long-term holdings.

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. Professionals and retail investors alike can leverage its capabilities to refine ETF selection processes within sectors like precious metals mining.

Tickeron AI Verdict

Based on observable structural factors, Tickeron’s AI would currently assign a modest probabilistic edge to Sprott Junior Gold Miners ETF (SGDJ) for investors prioritizing cost efficiency and concentrated gold junior exposure. Its lower expense ratio and focused index methodology align with environments favoring gold price momentum. However, Global X Silver Miners ETF (SIL) offers stronger diversification and liquidity characteristics that may suit portfolios seeking balanced silver equity participation. Final allocation decisions should reflect individual risk tolerance and prevailing commodity trends.

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
SGDJ vs. SIL commentary
Aug 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 SGDJ is a Buy and SIL is a Buy.

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SUMMARIES
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FUNDAMENTALS
Fundamentals
SIL has more net assets: 5.43B vs. SGDJ (377M). SGDJ has a higher annual dividend yield than SIL: SGDJ (20.409) vs SIL (19.357). SGDJ was incepted earlier than SIL: SGDJ (11 years) vs SIL (16 years). SGDJ (0.50) has a lower expense ratio than SIL (0.65). SGDJ has a higher turnover SIL (27.57) vs SIL (27.57).
SGDJSILSGDJ / SIL
Gain YTD20.40919.357105%
Net Assets377M5.43B7%
Total Expense Ratio0.500.6577%
Turnover76.0027.57276%
Yield9.551.38693%
Fund Existence11 years16 years-
TECHNICAL ANALYSIS
Technical Analysis
SGDJSIL
RSI
ODDS (%)
Bearish Trend 3 days ago
90%
Bearish Trend 3 days ago
90%
Stochastic
ODDS (%)
Bearish Trend 3 days ago
85%
Bearish Trend 3 days ago
89%
Momentum
ODDS (%)
Bullish Trend 3 days ago
84%
Bullish Trend 3 days ago
90%
MACD
ODDS (%)
Bullish Trend 3 days ago
90%
Bullish Trend 4 days ago
90%
TrendWeek
ODDS (%)
Bullish Trend 3 days ago
90%
Bullish Trend 3 days ago
90%
TrendMonth
ODDS (%)
Bullish Trend 3 days ago
90%
Bullish Trend 3 days ago
90%
Advances
ODDS (%)
Bullish Trend 3 days ago
90%
Bullish Trend 3 days ago
90%
Declines
ODDS (%)
Bearish Trend 26 days ago
86%
Bearish Trend 26 days ago
87%
BollingerBands
ODDS (%)
Bearish Trend 3 days ago
86%
Bearish Trend 3 days ago
89%
Aroon
ODDS (%)
Bullish Trend 3 days ago
90%
Bullish Trend 3 days ago
89%
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SGDJ
Daily Signal:
Gain/Loss:
SIL
Daily Signal:
Gain/Loss:
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SGDJ and

Correlation & Price change

A.I.dvisor indicates that over the last year, SGDJ has been closely correlated with SA. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if SGDJ jumps, then SA could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SGDJ
1D Price
Change %
SGDJ100%
+2.20%
SA - SGDJ
86%
Closely correlated
-9.35%
EQX - SGDJ
85%
Closely correlated
+5.05%
SKE - SGDJ
84%
Closely correlated
+0.11%
DRD - SGDJ
84%
Closely correlated
+4.03%
CDE - SGDJ
83%
Closely correlated
-0.66%
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%
+2.14%
PAAS - SIL
95%
Closely correlated
+2.21%
WPM - SIL
94%
Closely correlated
+5.01%
CDE - SIL
91%
Closely correlated
-0.66%
OR - SIL
89%
Closely correlated
+2.27%
VZLA - SIL
82%
Closely correlated
+2.33%
More