Gold mining equities have attracted renewed investor interest amid persistent central bank demand for bullion and macroeconomic uncertainty. Themes Gold Miners ETF (AUMI) and Sprott Gold Miners ETF (SGDM) both target this niche but employ distinct methodologies. They do not compete directly as identical products; instead, they offer alternative approaches to the same underlying sector exposure, allowing investors to choose between pure market-cap weighting and factor-enhanced selection within gold miners.
Themes Gold Miners ETF (AUMI) is a passively managed exchange-traded fund that seeks to track the Solactive Global Pure Gold Miners Index. The index selects the largest 30 companies by market capitalization that derive revenues primarily from gold mining. The ETF holds approximately 30 securities with a total expense ratio of 0.35%. It rebalances semi-annually and maintains a market-capitalization weighting scheme. Top holdings typically include major producers such as Agnico Eagle Mines Ltd, Alamos Gold Inc, and AngloGold Ashanti Plc. Sector allocation is concentrated in materials, with nearly all assets in gold mining equities and minimal exposure elsewhere.
Sprott Gold Miners ETF (SGDM) is a passively managed fund tracking the Solactive Gold Miners Custom Factors Index. The index applies a rules-based methodology that starts with market capitalization and adjusts weights based on fundamental factors including revenue growth, free cash flow yield, and lower long-term debt-to-equity ratios. The ETF typically holds around 40 securities with a total expense ratio of 0.46%. Rebalancing occurs quarterly. Holdings emphasize North American-listed gold miners with stronger financial metrics. Sector exposure remains focused on materials, specifically gold mining companies primarily listed on U.S. and Canadian exchanges.
The gold mining sector operates within the broader materials industry and remains sensitive to gold price movements, production costs, and regulatory environments. Central bank gold purchases continue to support underlying demand, while operational challenges such as rising energy expenses and permitting delays affect miners. Macroeconomic factors including interest rate expectations and currency fluctuations influence capital flows into precious metals equities. Both ETFs face similar risks from commodity volatility and geopolitical developments affecting mining regions, yet they position investors differently within this environment through their respective index rules.
In recent market cycles, the factor-tilted approach of Sprott Gold Miners ETF (SGDM) has provided differentiation during periods when higher-quality miners outperformed on fundamentals. Themes Gold Miners ETF (AUMI) delivers more direct exposure to the largest global names, potentially capturing broader sector momentum. Relative positioning varies with gold price trends and earnings cycles of top holdings, with SGDM showing potential resilience in environments favoring companies with stronger balance sheets and cash flow generation. Both exhibit volatility consistent with the gold miners subsector.
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
Based on structural characteristics, Tickeron’s AI would currently assign a modest preference to Themes Gold Miners ETF (AUMI) due to its lower expense ratio, straightforward market-cap methodology, and comparable diversification within the gold miners theme. Sprott Gold Miners ETF (SGDM) offers potential advantages through factor screening that may enhance resilience in certain cycles. The choice ultimately depends on investor preference for cost efficiency versus fundamental tilt.
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The Stochastic Oscillator for AUMI moved out of overbought territory on October 20, 2026. This could be a bearish sign for the stock and investors may want to consider selling or taking a defensive position. A.I.dvisor looked at 36 similar instances where the indicator exited the overbought zone. In 32 of the 36 cases the stock moved lower. This puts the odds of a downward move at 89%.
The Momentum Indicator moved below the 0 level on October 22, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on AUMI as a result. In 40 of 45 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 89%.
The Moving Average Convergence Divergence Histogram (MACD) for AUMI turned negative on October 22, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 27 similar instances when the indicator turned negative. In 22 of the 27 cases the stock turned lower in the days that followed. This puts the odds of success at 81%.
AUMI moved below its 50-day moving average on September 28, 2026 date and that indicates a change from an upward trend to a downward trend.
The 10-day moving average for AUMI crossed bearishly below the 50-day moving average on October 02, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 4 of 7 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 57%.
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 84%.
The Aroon Indicator for AUMI entered a downward trend on October 22, 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.
Following a +5.49% 3-day Advance, the price is estimated to grow further. Considering data from situations where AUMI advanced for three days, in 186 of 200 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
AUMI may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
SGDM saw its Moving Average Convergence Divergence Histogram (MACD) turn negative on October 22, 2026. This is a bearish signal that suggests the stock could decline going forward. Tickeron's A.I.dvisor looked at 49 instances where the indicator turned negative. In 45 of the 49 cases the stock moved lower in the days that followed. This puts the odds of a downward move at 90%.
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In 65 of 74 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 88%.
The Momentum Indicator moved below the 0 level on October 22, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on SGDM as a result. In 75 of 84 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 89%.
SGDM moved below its 50-day moving average on September 28, 2026 date and that indicates a change from an upward trend to a downward trend.
The 10-day moving average for SGDM crossed bearishly below the 50-day moving average on October 05, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 11 of 13 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 85%.
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%.
The Aroon Indicator for SGDM entered a downward trend on October 22, 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 50-day moving average for SGDM moved above the 200-day moving average on September 28, 2026. This could be a long-term bullish signal for the stock as the stock shifts to an upward trend.
Following a +5.90% 3-day Advance, the price is estimated to grow further. Considering data from situations where SGDM advanced for three days, in 292 of 319 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
SGDM may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
| AUMI | SGDM | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 1 day ago 89% | 1 day ago 88% |
| Momentum ODDS (%) | 1 day ago 89% | 1 day ago 89% |
| MACD ODDS (%) | 1 day ago 81% | 1 day ago 90% |
| TrendWeek ODDS (%) | 1 day ago 83% | 1 day ago 87% |
| TrendMonth ODDS (%) | 1 day ago 80% | 1 day ago 87% |
| Advances ODDS (%) | 7 days ago 90% | 7 days ago 90% |
| Declines ODDS (%) | 3 days ago 84% | 3 days ago 88% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 88% | 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% | -5.88% | ||
| TXG - AUMI | 38% Loosely correlated | -7.73% | ||
| PRU - AUMI | 11% Poorly correlated | +2.92% | ||
| EQX - AUMI | -2% Poorly correlated | -6.16% | ||
| AU - AUMI | -2% Poorly correlated | -6.89% | ||
| AGI - AUMI | -2% Poorly correlated | -4.48% | ||
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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% | -6.16% | ||
| AEM - SGDM | 96% Closely correlated | -5.98% | ||
| WPM - SGDM | 95% Closely correlated | -6.54% | ||
| IAG - SGDM | 93% Closely correlated | -7.86% | ||
| NEM - SGDM | 93% Closely correlated | -2.62% | ||
| PAAS - SGDM | 91% Closely correlated | -5.91% | ||
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| 1 Day | |||
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| ETFs / NAME | Price $ | Chg $ | Chg % |
| JCPB | 45.42 | 0.35 | +0.78% |
| JPMorgan Core Plus Bond ETF (JCPB) | |||
| DBND | 43.98 | 0.26 | +0.60% |
| DoubleLine Opportunistic Core Bond ETF (DBND) | |||
| JUDB | 26.34 | 0.02 | +0.06% |
| Aptus July Deep Buffer ETF (JUDB) | |||
| IJUN | 31.32 | N/A | N/A |
| Innovator International Developed Power Buffer ETF - June (IJUN) | |||
| DBP | 91.12 | -3.00 | -3.19% |
| Invesco DB Precious Metals Fund (DBP) | |||