Investors seeking silver-related exposure often compare specialized ETFs that target the precious metals mining sector. SILJ and SLVR represent distinct approaches within this niche: one centered on junior equity miners and the other blending mining equities with physical silver holdings. These funds do not compete directly but provide alternative strategies for investors pursuing similar goals of silver price participation through equity and commodity-linked vehicles. In the current environment of evolving industrial demand and monetary considerations, understanding their structural profiles aids in portfolio construction.
The Amplify Junior Silver Miners ETF (SILJ) seeks investment results that generally correspond, before fees and expenses, to the total return performance of the Nasdaq Junior Silver Miners Index. This passive, thematic ETF invests primarily in companies engaged in silver mining, exploration, and development activities, with a focus on smaller-capitalization firms. It holds approximately 60-67 securities, emphasizing junior and mid-tier producers. Top holdings typically include names such as Hecla Mining, First Majestic Silver, and Coeur Mining. Sector allocation concentrates almost entirely in materials, specifically precious metals mining. The fund carries an expense ratio of 0.69% and employs quarterly rebalancing consistent with its underlying market-cap weighted index methodology. Launched in 2012, SILJ offers a long-established vehicle for targeted junior silver equity exposure.
The Sprott Silver Miners & Physical Silver ETF (SLVR) tracks the Nasdaq Sprott Silver Miners Index through a passive strategy that allocates at least 80% of assets to silver mining companies and physical silver trusts. Launched in January 2025, the fund includes roughly 77 constituents spanning producers, developers, explorers, and closed-end trusts holding physical silver, such as the Sprott Physical Silver Trust. Top holdings commonly feature First Majestic Silver, Sprott Physical Silver Trust, Endeavour Silver, and similar names. Sector exposure remains concentrated in materials with an added physical silver component. The expense ratio stands at 0.65%, with semi-annual index rebalancing. This structure distinguishes SLVR by combining equity and direct commodity exposure within a single vehicle.
The silver mining sector operates at the intersection of precious metals investment demand and growing industrial applications, including electronics, solar energy, and emerging technologies. Macroeconomic factors such as interest rate expectations, inflation trends, and global supply dynamics influence capital flows into silver-related assets. Regulatory developments around mining permits and environmental standards continue to shape operational costs for producers. Geopolitical considerations affecting supply chains from key mining regions add another layer of complexity. Both ETFs navigate these conditions through their respective index methodologies, with broader sector momentum tied to silver’s dual monetary and industrial roles over recent market cycles.
In recent weeks and months, the two ETFs have exhibited performance patterns aligned with silver price movements and equity market rotations within the materials sector. SILJ’s junior-focused composition tends to display higher volatility during periods of sector rotation or commodity price swings, reflecting the operational leverage inherent in smaller mining firms. SLVR’s inclusion of physical silver holdings may moderate some equity-specific risks while introducing storage and trust-related characteristics. Relative positioning shows SILJ as more sensitive to exploration and development news from its holdings, whereas SLVR benefits from diversified exposure across the silver value chain. Earnings cycles of major holdings and broader commodity trends drive both funds’ behaviors across market cycles.
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. Investors seeking data-driven insights on ETFs like SILJ and SLVR may find the tool particularly useful for refining their research process.
Based on observable structural factors, Tickeron’s AI would currently assign a modest probabilistic edge to SLVR. The fund’s lower expense ratio, hybrid exposure to both mining equities and physical silver, and broader diversification profile position it favorably for consistent sector momentum while managing certain equity-specific risks. SILJ remains competitive due to its established liquidity and pure junior equity focus, yet the cost and exposure advantages tilt the assessment toward SLVR in the present environment.
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| SILJ | SLVR | SILJ / SLVR | |
| Gain YTD | 10.192 | 7.957 | 128% |
| Net Assets | 4.01B | 780M | 515% |
| Total Expense Ratio | 0.69 | 0.65 | 106% |
| Turnover | 47.00 | 49.00 | 96% |
| Yield | 1.77 | 3.27 | 54% |
| Fund Existence | 14 years | 2 years | - |
| SILJ | SLVR | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 50% |
| Stochastic ODDS (%) | 2 days ago 89% | 2 days ago 81% |
| Momentum ODDS (%) | 2 days ago 89% | 2 days ago 32% |
| MACD ODDS (%) | 2 days ago 88% | 2 days ago 36% |
| TrendWeek ODDS (%) | 2 days ago 89% | 2 days ago 45% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 65% |
| Advances ODDS (%) | 10 days ago 90% | 10 days ago 71% |
| Declines ODDS (%) | 2 days ago 88% | 2 days ago 54% |
| BollingerBands ODDS (%) | 4 days ago 90% | 4 days ago 40% |
| Aroon ODDS (%) | 2 days ago 88% | 2 days ago 65% |
A.I.dvisor indicates that over the last year, SLVR has been closely correlated with SSRM. These tickers have moved in lockstep 81% 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% | -1.08% | ||
| SSRM - SLVR | 81% Closely correlated | +0.08% | ||
| HYMC - SLVR | 72% Closely correlated | -0.98% | ||
| BRKHU - SLVR | 22% Poorly correlated | -1.94% | ||
| CDE - SLVR | 9% Poorly correlated | +1.18% | ||
| VZLA - SLVR | 7% Poorly correlated | -0.75% | ||
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