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.
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.
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.
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.
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.
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.
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.
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.
| SGDJ | SIL | SGDJ / SIL | |
| Gain YTD | 20.409 | 19.357 | 105% |
| Net Assets | 377M | 5.43B | 7% |
| Total Expense Ratio | 0.50 | 0.65 | 77% |
| Turnover | 76.00 | 27.57 | 276% |
| Yield | 9.55 | 1.38 | 693% |
| Fund Existence | 11 years | 16 years | - |
| SGDJ | SIL | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Stochastic ODDS (%) | 3 days ago 85% | 3 days ago 89% |
| Momentum ODDS (%) | 3 days ago 84% | 3 days ago 90% |
| MACD ODDS (%) | 3 days ago 90% | 4 days ago 90% |
| TrendWeek ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| TrendMonth ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Advances ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Declines ODDS (%) | 26 days ago 86% | 26 days ago 87% |
| BollingerBands ODDS (%) | 3 days ago 86% | 3 days ago 89% |
| Aroon ODDS (%) | 3 days ago 90% | 3 days ago 89% |
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.
| Ticker / NAME | Correlation To SGDJ | 1D Price Change % | ||
|---|---|---|---|---|
| SGDJ | 100% | +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 | ||||
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.
| Ticker / NAME | Correlation To SIL | 1D Price Change % | ||
|---|---|---|---|---|
| SIL | 100% | +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 | ||||