GOAU and SIL both provide targeted exposure to precious metals mining equities, yet they pursue different strategies within the sector. GOAU offers access to gold and broader precious metals producers and royalty companies, while SIL focuses exclusively on silver miners. These ETFs do not compete directly but serve as complementary or alternative vehicles for investors seeking commodity-linked equity exposure amid fluctuating metal prices, industrial demand shifts, and macroeconomic uncertainty. The comparison highlights structural distinctions that influence long-term positioning.
The U.S. Global GO GOLD and Precious Metal Miners ETF (GOAU) seeks total return by investing at least 80% of assets in precious metals companies, with at least 20% in gold-focused firms. It tracks the U.S. Global GO GOLD and Precious Metal Miners Index using a rules-based, quantitative approach that emphasizes fundamental factors rather than pure market capitalization. The fund holds 28 securities, with notable allocations to royalty and streaming companies such as Wheaton Precious Metals and Franco-Nevada. Sector exposure centers on precious metals mining, primarily in Canada and Australia. GOAU maintains a gross expense ratio of 0.60% and operates as a non-diversified, open-end fund listed on NYSE Arca.
The Global X Silver Miners ETF (SIL) seeks to replicate the performance, before fees and expenses, of the Solactive Global Silver Miners Total Return Index. The passive strategy invests at least 80% of assets in securities of the index, which targets global companies engaged in silver mining and related activities. SIL holds approximately 39-40 securities and carries a total expense ratio of 0.65%. The fund is non-diversified and listed on NYSE Arca. Its structure emphasizes silver-specific mining operations, resulting in a more concentrated thematic profile compared with broader precious metals vehicles.
Precious metals mining equities respond to gold and silver price trends, industrial demand for silver in solar and electronics, central bank gold purchases, and macroeconomic factors including interest rates and geopolitical developments. Silver miners face additional sensitivity to industrial cycles, while gold-focused and royalty companies often exhibit relatively resilient margins during periods of elevated metal prices. Regulatory environments in major producing regions and capital expenditure trends among miners continue to influence sector fundamentals. Both ETFs operate within this commodity-driven landscape, where metal price volatility and supply dynamics shape investor interest.
In recent market cycles, GOAU’s inclusion of royalty and streaming firms has contributed to a profile with potentially lower operating leverage than pure mining plays. SIL’s silver-centric holdings tie its behavior more closely to industrial silver demand and silver price movements. During periods of sector rotation toward precious metals, relative performance has reflected differences in metal exposure and holdings concentration. GOAU generally offers broader diversification across precious metals, while SIL delivers higher beta to silver-specific trends. Volatility differences arise from these structural distinctions, with SIL typically exhibiting greater sensitivity to silver price swings.
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Based on observable structural factors, Tickeron’s AI would currently assign a modestly higher probability of preference to GOAU. The lower expense ratio, rules-based methodology incorporating royalty companies, and broader precious metals diversification contribute to a profile with potentially more consistent risk-adjusted characteristics relative to the pure silver focus and higher cost of SIL.
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| GOAU | SIL | GOAU / SIL | |
| Gain YTD | 12.242 | 15.533 | 79% |
| Net Assets | 283M | 5.12B | 6% |
| Total Expense Ratio | 0.60 | 0.65 | 92% |
| Turnover | 181.00 | 27.57 | 657% |
| Yield | 0.82 | 1.04 | 79% |
| Fund Existence | 9 years | 16 years | - |
| GOAU | SIL | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 82% | 2 days ago 89% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 82% |
| Momentum ODDS (%) | 2 days ago 79% | 2 days ago 84% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 87% |
| TrendWeek ODDS (%) | 2 days ago 85% | 2 days ago 87% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Advances ODDS (%) | 10 days ago 90% | 10 days ago 90% |
| Declines ODDS (%) | 5 days ago 84% | 5 days ago 86% |
| BollingerBands ODDS (%) | N/A | N/A |
| Aroon ODDS (%) | 2 days ago 88% | 2 days ago 87% |
A.I.dvisor indicates that over the last year, GOAU has been closely correlated with WPM. These tickers have moved in lockstep 94% of the time. This A.I.-generated data suggests there is a high statistical probability that if GOAU jumps, then WPM could also see price increases.
| Ticker / NAME | Correlation To GOAU | 1D Price Change % | ||
|---|---|---|---|---|
| GOAU | 100% | +0.32% | ||
| WPM - GOAU | 94% Closely correlated | +2.08% | ||
| OR - GOAU | 90% Closely correlated | +0.53% | ||
| FNV - GOAU | 90% Closely correlated | +2.05% | ||
| HMY - GOAU | 89% Closely correlated | +2.23% | ||
| DRD - GOAU | 89% Closely correlated | +1.66% | ||
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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% | +0.17% | ||
| PAAS - SIL | 95% Closely correlated | -0.61% | ||
| WPM - SIL | 94% Closely correlated | +2.08% | ||
| CDE - SIL | 91% Closely correlated | +1.18% | ||
| OR - SIL | 89% Closely correlated | +0.53% | ||
| VZLA - SIL | 82% Closely correlated | -0.75% | ||
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