Investors seeking targeted exposure to precious metals mining often evaluate GOAU and SIL as complementary yet distinct options within the sector. These exchange-traded funds (ETFs) do not compete directly as broad-market vehicles but instead provide alternative pathways to similar investor goals of participating in gold, silver, and related mining equities. GOAU emphasizes precious metals miners alongside royalty and streaming businesses, whereas SIL delivers focused silver mining exposure. In the current environment of evolving commodity cycles and interest rate dynamics, comparing their structural features helps clarify positioning for diversified portfolios.
The U.S. Global GO GOLD and Precious Metal Miners ETF (GOAU) is an actively managed fund from U.S. Global Investors that seeks companies engaged in precious metals production, with emphasis on those deriving significant revenue from gold and other metals. It typically holds 28-32 securities, featuring a notable tilt toward royalty and streaming firms for revenue stability. Top holdings often include Royal Gold Inc. (RGLD), Franco-Nevada Corp., and Osisko Gold Royalties Ltd., which can represent substantial portions of assets. The fund maintains an expense ratio of 0.60% and operates without a specific benchmark index, relying on active selection and periodic rebalancing to align with its objective. This structure distinguishes it through concentrated exposure to higher-quality operators in the materials sector.
The Global X Silver Miners ETF (SIL) is a passively managed fund that tracks the Solactive Global Silver Miners Total Return Index, providing exposure to global companies primarily involved in silver mining, exploration, and refining. It holds approximately 39-40 securities in a market-capitalization-weighted approach, with top positions frequently including Wheaton Precious Metals Corp. (WPM), Pan American Silver Corp. (PAAS), and Coeur Mining Inc. (CDE). The expense ratio stands at 0.65%, reflecting standard index-tracking costs. SIL focuses almost entirely on the basic materials sector and rebalances according to index methodology to maintain alignment with silver mining industry performance.
The precious metals mining sector benefits from macroeconomic drivers including inflation hedging, central bank gold purchases, and silver's industrial demand in electronics and renewable energy. Capital flows into mining equities have varied with commodity price trends and interest rate expectations in recent market cycles. Regulatory developments around mining operations and environmental standards continue to influence company costs, while geopolitical factors can affect supply chains. Both GOAU and SIL operate within this environment, where silver and gold price movements directly impact miner profitability and investor sentiment toward the thematic segment.
In recent weeks and months, performance dynamics for these ETFs have reflected broader sector rotation within materials and commodity trends. GOAU's royalty-heavy composition has supported relative resilience during periods of volatile metal prices, as streaming revenues provide more consistent cash flows compared to pure producers. SIL's silver-centric holdings have shown sensitivity to industrial demand shifts and silver-specific supply dynamics. Over recent market cycles, differences in volatility stem from GOAU's active management and diversified precious metals focus versus SIL's concentrated silver exposure, leading to varied responses to interest rate expectations and macroeconomic shifts.
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Based on structural strength, cost efficiency, and diversification profile, Tickeron’s AI would currently assign a higher probability of favor to GOAU. Its lower expense ratio, active management with royalty emphasis, and balanced precious metals exposure provide advantages in risk-adjusted positioning within the sector compared to SIL's higher cost and narrower silver focus. This assessment rests on observable factors such as holdings characteristics and expense structure rather than short-term momentum.
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| GOAU | SIL | GOAU / SIL | |
| Gain YTD | 16.964 | 19.357 | 88% |
| Net Assets | 221M | 5.43B | 4% |
| Total Expense Ratio | 0.60 | 0.65 | 92% |
| Turnover | 181.00 | 27.57 | 657% |
| Yield | 1.09 | 1.38 | 79% |
| Fund Existence | 9 years | 16 years | - |
| GOAU | SIL | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Stochastic ODDS (%) | 3 days ago 86% | 3 days ago 89% |
| Momentum ODDS (%) | 3 days ago 86% | 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 85% | 26 days ago 87% |
| BollingerBands ODDS (%) | 3 days ago 85% | 3 days ago 89% |
| Aroon ODDS (%) | 3 days ago 90% | 3 days ago 89% |
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% | +2.55% | ||
| WPM - GOAU | 94% Closely correlated | +5.01% | ||
| OR - GOAU | 90% Closely correlated | +2.27% | ||
| FNV - GOAU | 90% Closely correlated | +2.94% | ||
| DRD - GOAU | 88% Closely correlated | +4.03% | ||
| HMY - GOAU | 87% Closely correlated | +6.90% | ||
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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% | +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% | ||
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