GDX
Price
$99.26
Change
-$2.23 (-2.20%)
Updated
Sep 4 closing price
Net Assets
30.26B
Intraday BUY SELL Signals
GOAU
Price
$49.61
Change
-$1.09 (-2.15%)
Updated
Sep 4 closing price
Net Assets
220.97M
Intraday BUY SELL Signals
SIL
Price
$99.29
Change
-$2.07 (-2.04%)
Updated
Sep 4 closing price
Net Assets
5.31B
Intraday BUY SELL Signals
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GDX or GOAU or SIL

GDX vs GOAU vs SIL Comparison Chart in %
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A.I.Advisor
Sep 01, 2026

Which ETF would AI Choose? VanEck Gold Miners ETF (GDX) vs. U.S. Global GO GOLD and Precious Metal Miners ETF (GOAU) vs. Global X Silver Miners ETF (SIL)

Key Takeaways

  • VanEck Gold Miners ETF (GDX) offers the broadest passive exposure to global gold mining companies with 66 holdings and the lowest expense ratio at 0.51%.
  • U.S. Global GO GOLD and Precious Metal Miners ETF (GOAU) employs an active smart-beta approach with approximately 30 holdings, emphasizing high-quality producers and royalty/streaming companies for potentially enhanced margins.
  • Global X Silver Miners ETF (SIL) provides targeted passive exposure to silver mining firms with around 40 holdings, carrying a higher expense ratio of 0.65% and greater sensitivity to industrial silver demand.
  • GDX delivers the deepest diversification within the gold miners theme, while GOAU and SIL introduce differentiated tilts through active selection or silver-specific focus.
  • All three ETFs exhibit elevated volatility typical of mining equities, with performance influenced by precious metals prices, geopolitical factors, and macroeconomic conditions.
  • Cost efficiency and diversification depth favor GDX for core thematic allocation, whereas GOAU and SIL suit investors seeking active management or silver-specific exposure.

Introduction

VanEck Gold Miners ETF (GDX), U.S. Global GO GOLD and Precious Metal Miners ETF (GOAU), and Global X Silver Miners ETF (SIL) represent distinct approaches to precious metals mining equities. GDX and GOAU center on gold and precious metals producers, while SIL focuses exclusively on silver miners. These exchange-traded funds (ETFs) compete within the equity precious metals sector, offering investors varying levels of diversification, active versus passive strategies, and exposure to gold versus silver price dynamics amid fluctuating commodity markets and industrial demand.

VanEck Gold Miners ETF (GDX) Overview

VanEck Gold Miners ETF (GDX) seeks to replicate the MarketVector Global Gold Miners Index, which tracks companies primarily engaged in the gold mining industry. The fund holds 66 securities and maintains a passive structure with annual rebalancing aligned to the index methodology. Top holdings typically include leading global gold producers such as Newmont Corporation and Agnico Eagle Mines Limited. Sector allocation concentrates on gold mining equities, with limited exposure to silver or other metals. The expense ratio stands at 0.51%. As a non-diversified fund listed on NYSE Arca, GDX provides liquid access to the gold miners theme through a modified capitalization-weighted approach.

U.S. Global GO GOLD and Precious Metal Miners ETF (GOAU) Overview

U.S. Global GO GOLD and Precious Metal Miners ETF (GOAU) follows an active smart-beta strategy targeting companies involved in precious metals production, including mining, royalties, and streaming. The fund typically holds around 30 securities selected through quantitative fundamental analysis emphasizing sustainable profitability and management quality. Top holdings often feature royalty companies such as Franco-Nevada Corporation and Wheaton Precious Metals Corporation alongside select producers. Allocation focuses on gold-dominant firms with some precious metals diversification. The expense ratio is 0.60%. Structured as a non-diversified ETF on NYSE Arca, GOAU employs tiered weighting rather than strict market-cap rules for enhanced quality screening.

Global X Silver Miners ETF (SIL) Overview

Global X Silver Miners ETF (SIL) tracks the Solactive Global Silver Miners Total Return Index, providing exposure to companies engaged in silver mining and related activities. The fund holds approximately 40 securities in a passive replication strategy with periodic index rebalancing. Top holdings generally consist of major silver producers such as Pan American Silver Corporation and Hecla Mining Company. Sector allocation centers on silver mining equities with secondary industrial exposure. The expense ratio is 0.65%. Listed on NYSE Arca as a non-diversified fund, SIL delivers targeted access to the silver miners theme through a volume-ranked index methodology.

Industry and Thematic Landscape

The precious metals mining sector responds to gold and silver price movements driven by central bank purchases, inflation hedging, geopolitical tensions, and industrial applications for silver in solar, electronics, and electric vehicles. Regulatory developments around mining permits and environmental standards influence operational costs across producers. Capital flows into the sector often accelerate during periods of monetary uncertainty or economic slowdowns. Earnings of major holdings reflect metal price volatility, with royalty and streaming models offering margin stability compared to pure-play miners. Sector risks include commodity price swings, currency fluctuations, and supply chain disruptions in key mining regions.

Performance and Positioning Comparison

In recent market cycles, VanEck Gold Miners ETF (GDX) has demonstrated relatively stable trend consistency due to broader diversification across gold producers. U.S. Global GO GOLD and Precious Metal Miners ETF (GOAU) has shown differentiated behavior from its active quality focus and royalty tilt, potentially moderating drawdowns during producer-specific challenges. Global X Silver Miners ETF (SIL) has exhibited higher volatility linked to silver's dual role as a monetary and industrial metal, leading to amplified sensitivity to economic growth indicators. Structural differences in holdings concentration and metal emphasis explain relative performance variations, with GDX offering lower concentration risk and SIL reflecting greater macro factor exposure.

AI Screener

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.

Tickeron AI Verdict

Tickeron’s AI would likely favor VanEck Gold Miners ETF (GDX) on the basis of its superior diversification across 66 holdings, lowest expense ratio, and passive structure that supports consistent risk-adjusted positioning within the gold miners theme. The broader exposure profile and cost efficiency provide a structural edge over the more concentrated GOAU and higher-cost SIL in probabilistic assessments of long-term thematic resilience.

Disclaimer

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.

Disclaimers and Limitations

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SUMMARIES
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FUNDAMENTALS
Fundamentals
GDX has more net assets: 30.3B vs. SIL (5.31B) and GOAU (221M). SIL has a higher annual dividend yield than GOAU and GDX: SIL (19.046) vs GOAU (16.570) and GDX (15.728). GDX was incepted earlier than GOAU and SIL: GDX (20 years) vs GOAU (9 years) and SIL (16 years). GDX (0.51) has a lower expense ratio than GOAU (0.60) and SIL (0.65). GOAU has a higher turnover GDX (50.00) and SIL (27.57) vs GDX (50.00) and SIL (27.57).
GDXGOAUSIL
Gain YTD15.72816.57019.046
Net Assets30.3B221M5.31B
Total Expense Ratio0.510.600.65
Turnover50.00181.0027.57
Yield0.640.821.04
Fund Existence20 years9 years16 years
TECHNICAL ANALYSIS
Technical Analysis
GDXGOAUSIL
RSI
ODDS (%)
Bearish Trend 4 days ago
89%
Bearish Trend 4 days ago
85%
Bearish Trend 4 days ago
87%
Stochastic
ODDS (%)
Bearish Trend 4 days ago
85%
Bearish Trend 4 days ago
80%
Bearish Trend 4 days ago
87%
Momentum
ODDS (%)
Bearish Trend 4 days ago
90%
Bearish Trend 4 days ago
89%
Bearish Trend 4 days ago
87%
MACD
ODDS (%)
Bearish Trend 4 days ago
86%
Bearish Trend 4 days ago
90%
Bearish Trend 4 days ago
89%
TrendWeek
ODDS (%)
Bearish Trend 4 days ago
86%
Bullish Trend 4 days ago
90%
Bullish Trend 4 days ago
90%
TrendMonth
ODDS (%)
Bullish Trend 4 days ago
90%
Bullish Trend 4 days ago
90%
Bullish Trend 4 days ago
90%
Advances
ODDS (%)
Bullish Trend 5 days ago
90%
Bullish Trend 5 days ago
90%
Bullish Trend 5 days ago
90%
Declines
ODDS (%)
Bearish Trend 7 days ago
87%
Bearish Trend 7 days ago
84%
Bearish Trend 7 days ago
87%
BollingerBands
ODDS (%)
Bearish Trend 4 days ago
84%
Bearish Trend 5 days ago
90%
Bearish Trend 4 days ago
85%
Aroon
ODDS (%)
Bullish Trend 4 days ago
90%
Bullish Trend 4 days ago
90%
Bullish Trend 4 days ago
89%
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GDX
Daily Signal:
Gain/Loss:
GOAU
Daily Signal:
Gain/Loss:
SIL
Daily Signal:
Gain/Loss:
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GDX and

Correlation & Price change

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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To GDX
1D Price
Change %
GDX100%
-2.20%
KGC - GDX
95%
Closely correlated
-2.28%
AEM - GDX
95%
Closely correlated
-1.16%
WPM - GDX
95%
Closely correlated
-1.05%
NEM - GDX
93%
Closely correlated
-1.79%
IAG - GDX
93%
Closely correlated
-2.20%
More

GOAU and

Correlation & Price change

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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To GOAU
1D Price
Change %
GOAU100%
-2.14%
WPM - GOAU
94%
Closely correlated
-1.05%
OR - GOAU
90%
Closely correlated
-0.98%
FNV - GOAU
90%
Closely correlated
-1.53%
DRD - GOAU
89%
Closely correlated
-3.48%
HMY - GOAU
88%
Closely correlated
-2.36%
More

SIL and

Correlation & Price change

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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SIL
1D Price
Change %
SIL100%
-2.04%
PAAS - SIL
95%
Closely correlated
-2.40%
WPM - SIL
94%
Closely correlated
-1.05%
CDE - SIL
91%
Closely correlated
-1.89%
OR - SIL
88%
Closely correlated
-0.98%
VZLA - SIL
82%
Closely correlated
-4.08%
More