VanEck Gold Miners ETF (GDX) and VanEck Junior Gold Miners ETF (GDXJ) represent complementary approaches to equity exposure within the gold mining industry. They do not compete directly but instead provide differentiated strategies targeting similar investor goals of participating in gold price dynamics through operating companies. Large-cap producers in GDX offer relative stability, while the smaller-capitalization focus of GDXJ introduces higher growth sensitivity and risk. This comparison highlights structural distinctions that help investors align allocations with risk tolerance and portfolio objectives in the current precious metals environment.
VanEck Gold Miners ETF (GDX) is a passive exchange-traded fund that seeks to replicate the performance of the MarketVector Global Gold Miners Index before fees and expenses. The index selects companies primarily engaged in gold mining, with a focus on the largest global producers. The fund holds approximately 60 securities and maintains a heavy concentration in its top holdings, which often account for more than half of total assets. Representative top positions include Newmont Corporation, Agnico Eagle Mines Limited, Barrick Gold Corporation, Wheaton Precious Metals Corp., and Franco-Nevada Corporation. Sector allocation is 100% basic materials, reflecting pure-play exposure to precious metals mining. The expense ratio stands at 0.51%. As a long-established, liquid ETF launched in 2006, GDX employs full replication methodology with periodic rebalancing aligned to index changes, providing transparent, rules-based access to senior gold miners.
VanEck Junior Gold Miners ETF (GDXJ) is a passive exchange-traded fund that seeks to replicate the performance of the MVIS Global Junior Gold Miners Index before fees and expenses. The index targets small-capitalization companies involved primarily in gold and silver mining, including those in earlier exploration or development stages. The fund holds more than 100 securities, offering greater diversification across junior producers than its large-cap counterpart. Top holdings typically feature smaller operators with higher operational leverage to gold prices. Sector allocation remains 100% basic materials. The expense ratio is 0.52%. Launched in 2009, GDXJ uses a rules-based selection and weighting process with regular rebalancing, delivering targeted exposure to the higher-risk, higher-potential segment of the gold mining equity universe.
The gold mining sector operates within a macroeconomic environment shaped by gold price trends, interest rate expectations, inflation dynamics, and geopolitical developments. Capital flows into precious metals equities often respond to shifts in real yields, central bank purchasing activity, and broader risk sentiment. Regulatory factors such as permitting timelines and environmental standards influence project development for both senior and junior producers. Sector risks include operational challenges at mine sites, cost inflation in labor and energy, and commodity price volatility. In recent market cycles, the industry has experienced rotation driven by gold price movements and investor preference for established cash-flow generators versus growth-oriented juniors. These durable thematic drivers continue to underpin demand for equity exposure vehicles like GDX and GDXJ.
In recent weeks and across broader market cycles, GDX has generally exhibited lower volatility than GDXJ due to its focus on larger, more established miners with diversified operations and stronger balance sheets. GDXJ has demonstrated greater sensitivity to gold price advances, reflecting the leveraged economics of smaller producers with higher exploration upside but also elevated operational and financing risks. Relative positioning has shifted with sector rotation, as investors favor senior names during periods of uncertainty and rotate toward juniors when gold momentum strengthens. Earnings cycles of top holdings and macroeconomic factors such as interest rate paths have influenced performance differentials, with GDX providing more defensive characteristics within the gold equity theme and GDXJ offering amplified exposure during favorable commodity environments.
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Based on structural strength, cost efficiency, diversification profile, and risk exposure, Tickeron’s AI would currently assign a modestly higher probability of favor to VanEck Gold Miners ETF (GDX). Its lower expense ratio, established liquidity, and concentration in large-cap producers with more predictable cash flows align with durable characteristics that support consistent positioning across varying market regimes. VanEck Junior Gold Miners ETF (GDXJ) offers compelling upside in strong gold price environments but carries elevated volatility inherent to its junior focus.
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Disclaimers and Limitations| GDX | GDXJ | GDX / GDXJ | |
| Gain YTD | 4.804 | 3.375 | 142% |
| Net Assets | 27.4B | 8.39B | 327% |
| Total Expense Ratio | 0.51 | 0.52 | 98% |
| Turnover | 50.00 | 36.00 | 139% |
| Yield | 0.85 | 2.76 | 31% |
| Fund Existence | 20 years | 17 years | - |
| GDX | GDXJ | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 89% | 4 days ago 90% |
| Stochastic ODDS (%) | 4 days ago 85% | 4 days ago 90% |
| Momentum ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| MACD ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| TrendWeek ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| TrendMonth ODDS (%) | 4 days ago 90% | 4 days ago 90% |
| Advances ODDS (%) | 4 days ago 90% | 6 days ago 90% |
| Declines ODDS (%) | 13 days ago 88% | 13 days ago 87% |
| BollingerBands ODDS (%) | 4 days ago 89% | 4 days ago 88% |
| Aroon ODDS (%) | 4 days ago 90% | 4 days ago 85% |
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A.I.dvisor indicates that over the last year, GDX has been closely correlated with AEM. 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 AEM 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% | +7.51% | ||
| KGC - GDXJ | 93% Closely correlated | +7.88% | ||
| PAAS - GDXJ | 93% Closely correlated | +6.60% | ||
| AEM - GDXJ | 91% Closely correlated | +6.49% | ||
| CGAU - GDXJ | 91% Closely correlated | +7.22% | ||
| AGI - GDXJ | 89% Closely correlated | +6.59% | ||
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