Global X Gold Explorers ETF (GOEX) and Amplify Junior Silver Miners ETF (SILJ) attract attention from investors seeking specialized exposure to precious metals equities. They do not compete head-to-head but instead deliver differentiated access within the mining sector: GOEX targets gold exploration and development firms, while SILJ emphasizes junior silver miners. This comparison helps clarify structural distinctions, cost structures, and thematic positioning amid ongoing interest in commodity-linked strategies.
Global X Gold Explorers ETF (GOEX) is a passively managed exchange-traded fund that seeks to track the Solactive Global Gold Explorers & Developers Total Return Index. The index measures performance of companies involved in gold exploration and development activities worldwide. The fund typically holds around 52 securities, with top positions often including firms such as Hecla Mining Co., Eldorado Gold Corp., and Coeur Mining Inc. Sector allocation centers on materials, specifically gold mining equities, with exposure spanning developed and emerging markets. The expense ratio stands at 0.65%. As a non-leveraged, thematic passive product, it rebalances periodically to maintain index alignment and provides efficient single-trade access to the gold exploration theme.
Amplify Junior Silver Miners ETF (SILJ) is a passively managed exchange-traded fund designed to track the Nasdaq Junior Silver Miners Index. The index focuses on companies deriving the majority of revenues from silver mining, production, or related exploration and development. The fund generally maintains approximately 67 holdings, with significant positions frequently held in names such as Hecla Mining Co., First Majestic Silver Corp., and Coeur Mining Inc. Allocations concentrate in the materials sector, particularly silver-related equities, with a tilt toward smaller-capitalization issuers. The expense ratio is 0.69%. This non-leveraged thematic passive vehicle rebalances on a quarterly basis and delivers targeted exposure to the junior silver mining segment.
The precious metals mining sector responds to macroeconomic factors including interest rate expectations, inflation trends, geopolitical developments, and shifts in global capital flows. Gold and silver equities often experience rotation during periods of economic uncertainty or monetary policy easing. Regulatory developments around mining permits and environmental standards can influence operational timelines for exploration companies. Both gold and silver themes face risks from commodity price volatility, supply constraints, and changes in investor sentiment toward hard assets, though capital flows into mining equities have shown resilience across recent market cycles.
In recent market cycles, Global X Gold Explorers ETF (GOEX) and Amplify Junior Silver Miners ETF (SILJ) have displayed performance patterns tied to their underlying commodity exposures. Gold-focused holdings in GOEX tend to benefit from sustained central bank demand and safe-haven flows, while silver-centric positions in SILJ often exhibit greater sensitivity to industrial demand and solar energy trends. Relative volatility has varied with commodity price swings, with junior miners in both funds showing amplified responses to earnings reports and exploration results. Sector rotation and interest rate expectations have influenced positioning, with GOEX generally offering broader gold-development diversification and SILJ providing more concentrated silver leverage.
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 GOEX or SILJ may find the platform useful for refining their research process.
Based on observable structural factors, Tickeron’s AI would currently assign a modest probabilistic preference to Global X Gold Explorers ETF (GOEX) due to its slightly lower expense ratio, comparable diversification within the gold theme, and alignment with broader precious metals momentum observed in recent cycles. SILJ offers compelling silver-specific exposure but carries a marginally higher cost and narrower thematic focus that may elevate risk in certain macro environments.
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| GOEX | SILJ | GOEX / SILJ | |
| Gain YTD | 12.341 | 10.192 | 121% |
| Net Assets | 133M | 4.01B | 3% |
| Total Expense Ratio | 0.65 | 0.69 | 94% |
| Turnover | 27.01 | 47.00 | 57% |
| Yield | 1.90 | 1.77 | 108% |
| Fund Existence | 16 years | 14 years | - |
| GOEX | SILJ | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 82% | 2 days ago 89% |
| Momentum ODDS (%) | 2 days ago 77% | 2 days ago 89% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 88% |
| TrendWeek ODDS (%) | 2 days ago 85% | 2 days ago 89% |
| TrendMonth ODDS (%) | 2 days ago 89% | 2 days ago 90% |
| Advances ODDS (%) | 10 days ago 90% | 10 days ago 90% |
| Declines ODDS (%) | 5 days ago 84% | 2 days ago 88% |
| BollingerBands ODDS (%) | N/A | 4 days ago 90% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 88% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| INEQ | 41.92 | 0.54 | +1.30% |
| Columbia Intl Equ Income ETF | |||
| FCOM | 72.08 | 0.74 | +1.04% |
| Fidelity MSCI Communication ServicesETF | |||
| TPHD | 42.55 | 0.20 | +0.47% |
| Timothy Plan High Dividend Stock ETF | |||
| PSFM | 35.58 | N/A | N/A |
| Pacer Swan SOS Flex (April) ETF | |||
| LITL | 33.60 | -0.22 | -0.66% |
| Simplify Piper Sandler Us Small-Cap Plus Income ETF | |||
A.I.dvisor indicates that over the last year, GOEX has been closely correlated with EQX. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if GOEX jumps, then EQX could also see price increases.
| Ticker / NAME | Correlation To GOEX | 1D Price Change % | ||
|---|---|---|---|---|
| GOEX | 100% | +0.31% | ||
| EQX - GOEX | 85% Closely correlated | +1.64% | ||
| AGI - GOEX | 84% Closely correlated | +0.70% | ||
| DRD - GOEX | 83% Closely correlated | +1.66% | ||
| SKE - GOEX | 81% Closely correlated | +1.54% | ||
| OGC - GOEX | 81% Closely correlated | +0.60% | ||
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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% | -0.52% | ||
| PAAS - SILJ | 93% Closely correlated | -0.61% | ||
| CDE - SILJ | 91% Closely correlated | +1.18% | ||
| WPM - SILJ | 91% Closely correlated | +2.08% | ||
| SKE - SILJ | 88% Closely correlated | +1.54% | ||
| OR - SILJ | 87% Closely correlated | +0.53% | ||
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