Investors seeking precious metals exposure often compare specialized mining ETFs to balance commodity price sensitivity with equity market participation. RING and SLVR do not compete directly but provide alternative pathways within the precious metals sector: one centered on gold miners and the other on silver miners augmented by physical holdings. This comparison highlights structural distinctions that can help investors align portfolios with specific commodity outlooks and risk tolerances amid evolving macroeconomic conditions.
The iShares MSCI Global Gold Miners ETF (RING) is a passively managed fund that seeks to track the MSCI ACWI Select Gold Miners IMI Index. The index focuses on global companies primarily engaged in gold mining, using a market-capitalization-weighted methodology with representative sampling. The ETF holds approximately 40 securities, with top positions typically including Newmont Corporation, Agnico Eagle Mines Limited, and Barrick Gold Corporation. Sector allocation is overwhelmingly concentrated in materials, specifically gold mining activities exceeding 98% of assets. The expense ratio stands at 0.39%, reflecting its cost-efficient passive structure. Distinguishing features include a minimum holding threshold of around 30 securities and exclusions for companies with significant gold price hedging, promoting purer exposure to underlying metal prices.
The Sprott Silver Miners & Physical Silver ETF (SLVR) is a passively managed fund designed to track the Nasdaq Sprott Silver Miners Index. The strategy allocates the majority of assets to silver mining equities while incorporating a meaningful portion to physical silver, creating a blended exposure profile. The ETF maintains around 80 holdings, with top positions featuring silver-focused miners such as First Majestic Silver Corp. and physical silver vehicles like the Sprott Physical Silver Trust. Sector allocation centers on materials, with an emphasis on silver-related activities. The expense ratio is 0.65%. Key distinguishing features include the dedicated physical silver component, which differentiates it from pure equity miners ETFs and aims to capture both operational and direct commodity returns.
The precious metals mining sector operates within a complex environment shaped by gold and silver price movements, industrial demand for silver in electronics and solar energy, and macroeconomic factors including interest rates and inflation expectations. Capital flows into mining equities often respond to commodity trends, while regulatory developments around mining operations and environmental standards influence operational costs. Geopolitical tensions can support safe-haven demand for gold, whereas silver benefits from both monetary and industrial applications. Sector risks include cost inflation in extraction, reserve depletion, and sensitivity to global economic growth cycles that affect capital expenditure in mining projects.
In recent market cycles, RING has exhibited amplified movements relative to gold prices due to its leveraged exposure through mining equities, with performance driven by producer margins and operational efficiency among top holdings. SLVR has shown distinct dynamics from its silver equity focus combined with physical allocation, potentially offering different volatility patterns tied to silver's dual role in monetary and industrial uses. Relative positioning reflects divergences in commodity-specific momentum, with gold miners often reacting to monetary policy signals and silver miners influenced by supply constraints and technological demand shifts over recent weeks and months.
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.
Based on observable structural factors, Tickeron’s AI would currently assign a probabilistic preference to RING due to its lower expense ratio, established passive replication of a broad gold miners index, and concentrated yet diversified holdings profile within the gold theme. SLVR offers differentiated silver exposure with physical elements that may appeal in specific commodity scenarios, though its higher cost structure and hybrid allocation introduce additional considerations around efficiency and trend consistency in prevailing market conditions.
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| RING | SLVR | RING / SLVR | |
| Gain YTD | 8.220 | 7.384 | 111% |
| Net Assets | 2.37B | 762M | 311% |
| Total Expense Ratio | 0.39 | 0.65 | 60% |
| Turnover | 23.00 | 49.00 | 47% |
| Yield | 1.42 | 4.30 | 33% |
| Fund Existence | 15 years | 2 years | - |
| RING | SLVR | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 50% |
| Stochastic ODDS (%) | 2 days ago 88% | 2 days ago 42% |
| Momentum ODDS (%) | 2 days ago 90% | 2 days ago 57% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 67% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 64% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 65% |
| Advances ODDS (%) | 7 days ago 90% | 9 days ago 71% |
| Declines ODDS (%) | 16 days ago 88% | 16 days ago 53% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 43% |
| Aroon ODDS (%) | 2 days ago 88% | 2 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| MFs / NAME | Price $ | Chg $ | Chg % |
| JLPYX | 26.61 | 0.11 | +0.42% |
| JPMorgan US Large Cap Core Plus R6 | |||
| FEMAX | 16.02 | 0.06 | +0.38% |
| First Eagle U.S. SMID Cap Opportunity A | |||
| BTIIX | 178.93 | N/A | N/A |
| DWS Equity 500 Index Inst | |||
| WBSIX | 41.25 | N/A | N/A |
| William Blair Small Cap Growth I | |||
| VEUPX | 219.74 | N/A | N/A |
| Vanguard European Stock Instl Plus | |||
A.I.dvisor indicates that over the last year, RING has been closely correlated with SSRM. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if RING jumps, then SSRM could also see price increases.
| Ticker / NAME | Correlation To RING | 1D Price Change % | ||
|---|---|---|---|---|
| RING | 100% | +1.23% | ||
| SSRM - RING | 85% Closely correlated | +1.72% | ||
| TXG - RING | 35% Loosely correlated | -1.25% | ||
| CG - RING | 23% Poorly correlated | -0.19% | ||
| AR - RING | 20% Poorly correlated | -0.93% | ||
| RSG - RING | 6% Poorly correlated | -0.38% | ||
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A.I.dvisor indicates that over the last year, SLVR has been closely correlated with SSRM. These tickers have moved in lockstep 80% of the time. This A.I.-generated data suggests there is a high statistical probability that if SLVR jumps, then SSRM could also see price increases.
| Ticker / NAME | Correlation To SLVR | 1D Price Change % | ||
|---|---|---|---|---|
| SLVR | 100% | +0.13% | ||
| SSRM - SLVR | 80% Closely correlated | +1.72% | ||
| HYMC - SLVR | 70% Closely correlated | -0.29% | ||
| BRKHU - SLVR | 22% Poorly correlated | N/A | ||
| CDE - SLVR | 10% Poorly correlated | +1.18% | ||
| VZLA - SLVR | 8% Poorly correlated | -0.78% | ||
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