VanEck Gold Miners ETF (GDX) and VanEck Junior Gold Miners ETF (GDXJ) represent complementary yet distinct approaches to gold mining equity exposure within the same thematic sector. Rather than direct competitors, these exchange-traded funds (ETFs) serve as alternatives for investors seeking varying risk and return profiles in precious metals mining. GDX focuses on established industry leaders, while GDXJ emphasizes smaller companies with greater operational leverage to gold prices, allowing portfolio constructors to calibrate exposure based on market conditions and risk tolerance.
VanEck Gold Miners ETF (GDX) seeks to replicate the performance of the MarketVector Global Gold Miners Index before fees and expenses. The index targets companies primarily engaged in gold and silver mining. The fund holds approximately 66 securities, with top positions typically including Newmont Corp (NEM), Agnico Eagle Mines Ltd (AEM), Barrick Mining Corp, Wheaton Precious Metals Corp (WPM), and Franco-Nevada Corp (FNV). These holdings represent large- and mid-cap producers with established operations. Sector allocation concentrates in materials, specifically precious metals mining. The expense ratio stands at 0.51%. As a passive, rules-based ETF, it employs market-capitalization weighting with periodic rebalancing. Distinguishing features include high liquidity and a focus on senior miners that historically provide more stable dividend streams relative to juniors.
VanEck Junior Gold Miners ETF (GDXJ) tracks the MVIS Global Junior Gold Miners Index, which selects small-capitalization companies deriving at least 50% of revenues from gold or silver mining or holding development projects with similar potential. The ETF maintains around 120 holdings, featuring names such as Equinox Gold Corp (EQX), Evolution Mining Ltd, Alamos Gold Inc (AGI), Endeavour Mining PLC, and Coeur Mining Inc (CDE). Allocations favor mid- and small-cap explorers and developers. Expense ratio is 0.52%. The passive strategy uses modified market-capitalization weighting and quarterly rebalancing. Key characteristics include greater diversification across early-stage assets and higher sensitivity to gold price fluctuations and exploration success.
The gold mining sector operates within a broader precious metals ecosystem influenced by macroeconomic factors including interest rate expectations, inflation trends, central bank purchasing, and geopolitical developments. Capital flows into mining equities often accelerate during periods of monetary easing or heightened uncertainty, while regulatory changes around permitting and environmental standards can affect project timelines. Both ETFs benefit from gold's role as a store of value, though junior miners face additional risks related to financing, reserve depletion, and execution on development projects. Sector momentum tends to correlate with commodity price cycles rather than equity market rotations alone.
In recent market cycles, VanEck Gold Miners ETF (GDX) has demonstrated more measured responses to gold price movements due to its large-cap focus and operational stability. VanEck Junior Gold Miners ETF (GDXJ) has shown amplified volatility and potential outperformance during strong bull phases in gold, reflecting the higher operational leverage and growth orientation of its holdings. Relative positioning favors GDX for defensive sector exposure within portfolios, while GDXJ suits tactical allocations seeking greater upside participation. Differences in holdings size and development stage drive distinct behavior across interest rate regimes and commodity trends, with juniors typically exhibiting wider drawdowns and recoveries.
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. AI Screener
Tickeron’s AI would currently favor VanEck Gold Miners ETF (GDX) for its structural advantages in diversification among established producers, lower relative volatility profile, cost efficiency, and consistent exposure to sector leaders with stronger balance sheets. The fund’s positioning aligns with observable factors such as broader holdings stability and favorable risk-adjusted characteristics within the gold mining theme during varied market environments.
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| GDX | GDXJ | GDX / GDXJ | |
| Gain YTD | 11.321 | 9.369 | 121% |
| Net Assets | 27.7B | 8.75B | 317% |
| Total Expense Ratio | 0.51 | 0.52 | 98% |
| Turnover | 50.00 | 36.00 | 139% |
| Yield | 0.64 | 2.07 | 31% |
| Fund Existence | 20 years | 17 years | - |
| GDX | GDXJ | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 87% | 2 days ago 87% |
| Stochastic ODDS (%) | 2 days ago 89% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 84% | 2 days ago 87% |
| TrendWeek ODDS (%) | 2 days ago 86% | 2 days ago 86% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Advances ODDS (%) | 17 days ago 90% | 2 days ago 90% |
| Declines ODDS (%) | 4 days ago 87% | 4 days ago 86% |
| BollingerBands ODDS (%) | N/A | N/A |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| SEMI | 38.50 | 0.55 | +1.44% |
| Columbia Select Technology ETF (SEMI) | |||
| FXL | 215.54 | 0.09 | +0.04% |
| First Trust Technology AlphaDEX Fund (FXL) | |||
| FLDZ | 28.67 | N/A | N/A |
| TrueShares Patriot Defense ETF (FLDZ) | |||
| SMCY | 5.30 | -0.03 | -0.56% |
| YieldMax SMCI Option Income Strategy ETF | |||
| METU | 26.40 | -1.36 | -4.90% |
| Direxion Daily META Bull 2X ETF (METU) | |||
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, GDXJ has been closely correlated with KGC. These tickers have moved in lockstep 93% of the time. This A.I.-generated data suggests there is a high statistical probability that if GDXJ jumps, then KGC could also see price increases.
| Ticker / NAME | Correlation To GDXJ | 1D Price Change % | ||
|---|---|---|---|---|
| GDXJ | 100% | +0.66% | ||
| KGC - GDXJ | 93% Closely correlated | -1.44% | ||
| PAAS - GDXJ | 93% Closely correlated | +0.75% | ||
| FSM - GDXJ | 92% Closely correlated | +0.25% | ||
| CGAU - GDXJ | 92% Closely correlated | +1.19% | ||
| AEM - GDXJ | 91% Closely correlated | -0.93% | ||
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