Investors seeking exposure to precious metals mining equities often compare GDX, SILJ, and SLVP because the three funds address the same overarching theme through distinct structural lenses. GDX concentrates on gold miners, while SILJ and SLVP emphasize silver mining companies, with SILJ further tilting toward smaller, earlier-stage producers. Although all three track passive indexes and operate within the materials sector, their differing commodity focus, market-capitalization biases, and expense structures create meaningful variations in risk, cost, and return profiles that matter across market cycles.
GDX seeks to replicate the performance of the MarketVector Global Gold Miners Index before fees and expenses. The fund typically holds approximately 48 securities and maintains at least 80 percent of assets in companies primarily engaged in gold and silver mining. Top holdings generally include large producers such as Newmont and Agnico Eagle Mines. Geographic exposure spans Canada, the United States, Australia, and emerging markets. The expense ratio stands at 0.51 percent. GDX employs a modified float-adjusted market-capitalization weighting methodology with quarterly rebalancing, resulting in a relatively liquid, large-cap-oriented portfolio suited for core precious-metals exposure.
SILJ tracks the Nasdaq Junior Silver Miners Index and invests primarily in smaller-capitalization companies that derive the majority of revenue from silver mining, exploration, or development. The fund holds roughly 67 securities and applies a thematic market-capitalization weighting scheme with quarterly rebalancing. Expense ratio is 0.69 percent. Because the index emphasizes junior producers, the portfolio exhibits greater concentration in smaller firms and higher sensitivity to silver price movements and operational risks typical of early-stage mining operations.
SLVP seeks to track the MSCI ACWI Select Silver Miners Investable Market Index, which includes companies in developed and emerging markets engaged in silver mining or related metals activities. The fund typically maintains around 33 to 36 holdings and applies a market-capitalization weighting approach. Its expense ratio of 0.39 percent is the lowest of the three ETFs. Geographic allocation features notable exposure to Canada, the United States, and Mexico, with top holdings often including both pure-play silver miners and diversified precious-metals producers.
The precious metals mining sector remains influenced by macroeconomic factors including interest-rate expectations, inflation trends, and geopolitical supply risks. Capital flows into gold and silver equities often accelerate during periods of monetary-policy easing or heightened uncertainty. Regulatory developments affecting permitting timelines, environmental standards, and royalty structures can materially affect project economics for both established producers and junior explorers. Earnings of major holdings are closely tied to realized metal prices, production costs, and reserve replacement rates, while sector-wide risks encompass operational disruptions, labor availability, and currency fluctuations in key producing regions.
In recent market cycles, GDX has generally displayed more stable trend behavior than the silver-focused ETFs owing to its larger average constituent size and gold-centric mandate. SILJ has tended to exhibit sharper drawdowns and recoveries because of its junior-silver emphasis and elevated volatility profile. SLVP has occupied an intermediate position, benefiting from lower costs and a broader silver-miners universe that includes some mid-cap names. Relative performance differences arise primarily from commodity tilt, market-capitalization exposure, and expense drag rather than short-term price fluctuations.
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 characteristics, SLVP currently presents the strongest combination of cost efficiency, reasonable diversification, and balanced exposure to the silver-mining theme. Its lowest expense ratio and moderate number of holdings support favorable risk-adjusted positioning relative to the higher-cost, more concentrated SILJ and the larger but gold-focused GDX. Probabilistic assessment favors SLVP for investors prioritizing expense control within the precious-metals miners category, though individual suitability depends on specific risk tolerance and commodity outlook.
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.
| GDX | SILJ | SLVP | |
| Gain YTD | 11.321 | 9.107 | 13.204 |
| Net Assets | 27.7B | 640M | 925M |
| Total Expense Ratio | 0.51 | 0.69 | 0.39 |
| Turnover | 50.00 | 47.00 | 74.00 |
| Yield | 0.64 | 1.77 | 1.77 |
| Fund Existence | 20 years | 14 years | 15 years |
| GDX | SILJ | SLVP | |
|---|---|---|---|
| RSI ODDS (%) | 3 days ago 87% | 3 days ago 82% | 3 days ago 82% |
| Stochastic ODDS (%) | 3 days ago 89% | 3 days ago 90% | 3 days ago 89% |
| Momentum ODDS (%) | 3 days ago 90% | 3 days ago 90% | 3 days ago 90% |
| MACD ODDS (%) | 3 days ago 84% | 3 days ago 84% | 3 days ago 86% |
| TrendWeek ODDS (%) | 3 days ago 86% | 3 days ago 89% | 3 days ago 87% |
| TrendMonth ODDS (%) | 3 days ago 90% | 3 days ago 90% | 3 days ago 90% |
| Advances ODDS (%) | 18 days ago 90% | 3 days ago 90% | 3 days ago 90% |
| Declines ODDS (%) | 5 days ago 87% | 5 days ago 88% | 5 days ago 86% |
| BollingerBands ODDS (%) | N/A | 3 days ago 90% | 3 days ago 90% |
| Aroon ODDS (%) | 3 days ago 90% | 3 days ago 90% | 3 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| MFs / NAME | Price $ | Chg $ | Chg % |
| FGADX | 58.07 | 0.81 | +1.41% |
| Franklin Gold and Precious Metals Adv | |||
| HRCAX | 118.60 | 0.30 | +0.25% |
| Harbor Capital Appreciation Admin | |||
| GCMCX | 29.32 | -0.10 | -0.34% |
| Goldman Sachs Mid Cap Value C | |||
| MAVKX | 16.06 | -0.08 | -0.50% |
| MoA Small Cap Value Fund | |||
| DPREX | 14.56 | -0.11 | -0.75% |
| Nomura Global Listed Real Assets A | |||
A.I.dvisor indicates that over the last year, GDX has been closely correlated with KGC. These tickers have moved in lockstep 95% of the time. This A.I.-generated data suggests there is a high statistical probability that if GDX jumps, then KGC could also see price increases.
A.I.dvisor indicates that over the last year, SILJ has been closely correlated with PAAS. These tickers have moved in lockstep 93% of the time. This A.I.-generated data suggests there is a high statistical probability that if SILJ jumps, then PAAS could also see price increases.
| Ticker / NAME | Correlation To SILJ | 1D Price Change % | ||
|---|---|---|---|---|
| SILJ | 100% | +0.30% | ||
| PAAS - SILJ | 93% Closely correlated | +0.75% | ||
| CDE - SILJ | 91% Closely correlated | -1.10% | ||
| WPM - SILJ | 91% Closely correlated | -0.78% | ||
| SKE - SILJ | 89% Closely correlated | +2.75% | ||
| RGLD - SILJ | 87% Closely correlated | -0.72% | ||
More | ||||