Gold miners have been among the market's most closely watched equity groups in recent cycles, as elevated bullion prices, central-bank demand, and shifting interest-rate expectations have refocused investors on precious-metals equities. The Themes Gold Miners ETF (AUMI) and the Sprott Gold Miners ETF (SGDM) both target this theme, yet they are not direct clones. Rather than competing on identical exposure, they represent alternative constructions of the same investor goal: broad, liquid access to gold-mining companies. Comparing their index design, sector exposure, cost, and liquidity helps investors understand which structure best fits a given portfolio objective.
AUMI is a passively managed fund that seeks to track the Solactive Global Pure Gold Miners Index. That index identifies roughly the 30 largest companies by market capitalization that derive their revenues from gold mining, giving the fund a global, pure-play character. Launched in December 2023, it is a relatively young and modestly sized fund, with assets under management (AUM, the total market value of fund holdings) in the tens of millions of dollars.
The fund holds approximately 31 positions and is effectively concentrated in the materials sector, reflecting its gold-mining mandate. Notable top holdings include DPM Metals, Endeavour Mining, AngloGold Ashanti (AU), Northern Star Resources, Kinross Gold (KGC), IAMGOLD, and Agnico Eagle Mines (AEM). Geographically, Canada accounts for roughly 60% of the portfolio, with Australia, South Africa, and the U.K. providing meaningful diversification. AUMI's expense ratio is 0.35%, and the underlying index rebalances on a semi-annual basis. Its small asset base translates to a wider median bid/ask spread and thinner secondary-market liquidity than larger peers.
SGDM is also a passively managed fund, but it tracks the Solactive Gold Miners Custom Factors Total Return Index. This is a factor-based index focused on gold companies listed in the U.S. and Canada, selecting and weighting constituents using quality and value criteria such as revenue growth, free cash flow, and lower debt-to-equity ratios. Launched in 2014, SGDM is a more established vehicle with roughly $650 million in AUM and a non-diversified structure.
The fund holds between 39 and 43 positions, concentrated in the basic materials sector. Its largest holdings include Agnico Eagle Mines (AEM), Barrick Gold (GOLD), Newmont (NEM), Wheaton Precious Metals (WPM), Franco-Nevada (FNV), and Kinross Gold (KGC). Canada represents roughly 75–80% of assets, with U.S. and U.K. exposure making up most of the remainder. SGDM carries a 0.46% expense ratio. Its quality tilt has historically produced a lower beta (a measure of volatility relative to the broader market) and shallower maximum drawdowns than broader gold-miner benchmarks.
Both funds operate within the precious-metals equity complex, whose fortunes hinge on the price of gold and the profitability of the companies that extract it. In recent market cycles, gold has been supported by a combination of factors: elevated geopolitical uncertainty, sustained central-bank bullion purchases, and shifting expectations around monetary policy and real interest rates. Because mining equities can magnify moves in the underlying metal, gold-miner funds tend to be more volatile than bullion or physical-gold products. Sector risks include input-cost inflation, regulatory and permitting hurdles, operational disruptions, and currency effects for producers outside the United States. Capital flows into gold-miner funds have generally tracked investor sentiment on these macro drivers rather than company-specific news, making relative positioning and structural design the key differentiators between AUMI and SGDM.
Over recent weeks and months, both funds have participated in the broader gold-equity advance, but their relative positioning has diverged along structural lines. SGDM's concentration in large, well-capitalized North American producers has supported a steadier risk profile, while AUMI's global reach exposes it to a wider mix of mid-cap and Australian-listed miners that can amplify both upside and downside. The quality-factor screen embedded in SGDM has historically helped it capture gold-driven rallies with comparatively lower beta and smaller drawdowns than broad pure-play peers. AUMI, by contrast, offers broader geographic diversification and a lower cost burden but carries the liquidity and tracking trade-offs of a smaller, newer fund. For investors weighing relative positioning, the distinction is less about which fund "wins" in any single week and more about the trade-off between cost-efficient global breadth and liquidity-backed, quality-filtered concentration.
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 is designed to surface trade ideas, trending tickers, breakout candidates, and market opportunities far more efficiently than manual screening. Explore the AI Screener to identify signals and refine your own ETF comparison process.
Weighing structural strength, cost efficiency, diversification profile, trend consistency, and risk exposure, Tickeron's AI would currently lean toward SGDM as the favored ticker. SGDM's larger asset base and deeper trading liquidity support tighter execution, while its longer track record provides a more reliable dataset for evaluating trend behavior. Its quality-and-value factor methodology filters for companies with stronger revenue growth and lower leverage, a design that has historically translated into lower beta and milder drawdowns relative to broad gold-miner exposure. AUMI offers a genuine cost advantage and broader global diversification, but its smaller size and thinner liquidity introduce structural frictions that weigh on its profile in this comparison. On balance, the AI's preference for SGDM reflects a probabilistic assessment of liquidity, risk-adjusted positioning, and established methodology rather than any forecast of near-term price direction.
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.
The 50-day moving average for AUMI moved below the 200-day moving average on November 04, 2026. This could be a long-term bearish signal for the stock as the stock shifts to an downward trend.
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In 28 of 36 cases where AUMI's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are 78%.
AUMI moved below its 50-day moving average on November 10, 2026 date and that indicates a change from an upward trend to a downward trend.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where AUMI declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 85%.
AUMI broke above its upper Bollinger Band on November 09, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.
The Aroon Indicator for AUMI entered a downward trend on November 06, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The Momentum Indicator moved above the 0 level on November 05, 2026. You may want to consider a long position or call options on AUMI as a result. In 43 of 44 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 90%.
The Moving Average Convergence Divergence (MACD) for AUMI just turned positive on November 05, 2026. Looking at past instances where AUMI's MACD turned positive, the stock continued to rise in 24 of 26 cases over the following month. The odds of a continued upward trend are 90%.
Following a +7.03% 3-day Advance, the price is estimated to grow further. Considering data from situations where AUMI advanced for three days, in 187 of 201 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
The Aroon Indicator for SGDM entered a downward trend on October 30, 2026. Tickeron's A.I.dvisor identified a pattern where the AroonDown red line was above 70 while the AroonUp green line was below 30 for three straight days. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options. A.I.dvisor looked at 158 similar instances where the Aroon Indicator formed such a pattern. In 140 of the 158 cases the stock moved lower. This puts the odds of a downward move at 89%.
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In 61 of 73 cases where SGDM's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are 84%.
SGDM moved below its 50-day moving average on November 10, 2026 date and that indicates a change from an upward trend to a downward trend.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SGDM declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 88%.
SGDM broke above its upper Bollinger Band on November 09, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.
The RSI Oscillator points to a transition from a downward trend to an upward trend -- in cases where SGDM's RSI Oscillator exited the oversold zone, 22 of 23 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 90%.
The Momentum Indicator moved above the 0 level on November 05, 2026. You may want to consider a long position or call options on SGDM as a result. In 77 of 82 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 90%.
The Moving Average Convergence Divergence (MACD) for SGDM just turned positive on November 05, 2026. Looking at past instances where SGDM's MACD turned positive, the stock continued to rise in 44 of 47 cases over the following month. The odds of a continued upward trend are 90%.
Following a +7.26% 3-day Advance, the price is estimated to grow further. Considering data from situations where SGDM advanced for three days, in 287 of 314 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
| AUMI | SGDM | |
|---|---|---|
| RSI ODDS (%) | N/A | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 78% | 1 day ago 84% |
| Momentum ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| MACD ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| TrendWeek ODDS (%) | 1 day ago 83% | 1 day ago 87% |
| TrendMonth ODDS (%) | 1 day ago 81% | 1 day ago 87% |
| Advances ODDS (%) | 5 days ago 90% | 5 days ago 90% |
| Declines ODDS (%) | 1 day ago 85% | 1 day ago 88% |
| BollingerBands ODDS (%) | 1 day ago 79% | 1 day ago 87% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 89% |
A.I.dvisor indicates that over the last year, AUMI has been loosely correlated with TXG. These tickers have moved in lockstep 38% of the time. This A.I.-generated data suggests there is some statistical probability that if AUMI jumps, then TXG could also see price increases.
| Ticker / NAME | Correlation To AUMI | 1D Price Change % | ||
|---|---|---|---|---|
| AUMI | 100% | -4.69% | ||
| TXG - AUMI | 38% Loosely correlated | -4.75% | ||
| PRU - AUMI | 11% Poorly correlated | -0.51% | ||
| AGI - AUMI | 3% Poorly correlated | -4.17% | ||
| AU - AUMI | 1% Poorly correlated | -4.78% | ||
| EQX - AUMI | -0% Poorly correlated | -4.26% | ||
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A.I.dvisor indicates that over the last year, SGDM has been closely correlated with AEM. These tickers have moved in lockstep 96% of the time. This A.I.-generated data suggests there is a high statistical probability that if SGDM jumps, then AEM could also see price increases.
| Ticker / NAME | Correlation To SGDM | 1D Price Change % | ||
|---|---|---|---|---|
| SGDM | 100% | -4.10% | ||
| AEM - SGDM | 96% Closely correlated | -4.06% | ||
| WPM - SGDM | 95% Closely correlated | -2.79% | ||
| IAG - SGDM | 93% Closely correlated | -5.15% | ||
| NEM - SGDM | 93% Closely correlated | -4.92% | ||
| EQX - SGDM | 91% Closely correlated | -4.26% | ||
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