SGDM and SLVP both deliver equity exposure to the precious metals mining sector, yet they target distinct segments of that universe. SGDM concentrates on gold miners with a rules-based factor overlay, while SLVP emphasizes silver and metals miners on a global basis. The two funds therefore function as complementary rather than directly competing vehicles for investors seeking differentiated exposure within the same broad industry. In the current environment of fluctuating commodity prices and shifting macroeconomic conditions, understanding their structural distinctions helps clarify how each ETF aligns with varying risk tolerances and thematic preferences.
SGDM seeks to track the Solactive Gold Miners Custom Factors Index before fees and expenses. The index applies a transparent, rules-based methodology that begins with market-capitalization weighting and then adjusts for three fundamental factors: higher revenue growth, higher free cash flow yield, and lower long-term debt-to-equity ratios. The ETF holds approximately 48 issuers, with top positions typically including Agnico Eagle Mines Limited (AEM), Newmont Corporation (NEM), Barrick Mining Corporation (ABX), Wheaton Precious Metals Corp (WPM), and Franco-Nevada Corporation (FNV). Sector allocation is overwhelmingly weighted toward gold mining, with modest exposure to other precious metals. The fund maintains a net expense ratio of 0.46 percent and reconstitutes quarterly. It is structured as a passive, open-end ETF listed on NYSE Arca and draws the majority of its holdings from developed markets, primarily Canada and the United States.
SLVP seeks to track the MSCI ACWI Select Silver Miners Investable Market Index (Net). The index selects companies primarily engaged in silver mining or exploration across developed and emerging markets. The ETF typically holds around 36 securities, with top holdings often including Hecla Mining Company (HL), Industrias Penoles SAB de CV, First Majestic Silver Corp (AG), Fresnillo PLC (FRES), and Aya Gold & Silver Inc (AYA). Sector exposure centers almost entirely on metals and mining, with silver as the dominant focus and ancillary positions in related precious and base metals. SLVP carries a net expense ratio of 0.39 percent, lower than many peers in the category. It is structured as a passive, non-diversified ETF listed on Cboe BZX and rebalances according to the index methodology. Geographic allocation features significant weight in Canada, with meaningful exposure to Mexico and the United States.
The precious metals mining sector remains sensitive to movements in gold and silver spot prices, global monetary policy, inflation expectations, and geopolitical developments. Capital flows into the sector often accelerate during periods of economic uncertainty or when real yields decline. Regulatory changes affecting mining permits, environmental standards, and taxation in key producing jurisdictions such as Canada, Mexico, and the United States can influence operating costs and project timelines. Both ETFs provide equity-based exposure that tends to exhibit higher volatility than physical metal prices due to operational leverage, reserve depletion risks, and company-specific execution factors. Recent market cycles have highlighted the sector’s role as a potential hedge within diversified portfolios, though performance can diverge sharply between gold-focused and silver-focused miners depending on relative price dynamics and industrial demand for silver.
Over recent market cycles, SGDM’s factor-tilted approach has emphasized companies with stronger balance sheets and cash-flow characteristics, potentially moderating downside participation during periods of gold-price weakness. SLVP’s silver-centric mandate has historically delivered amplified sensitivity to silver price rallies driven by industrial demand and investment flows. Relative positioning differs in concentration risk: SGDM’s larger number of holdings and factor overlay may provide modest diversification benefits within the gold-mining universe, while SLVP’s narrower focus can result in greater volatility tied to a smaller set of silver producers. Both ETFs have participated in broader sector rotations linked to interest-rate expectations and commodity trends, with performance dispersion reflecting the distinct price paths of gold versus silver and the operational profiles of their respective holdings.
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. Investors seeking data-driven insights on funds like SGDM and SLVP can leverage the platform’s analytical capabilities to refine their research process.
Based on observable structural factors, Tickeron’s AI would currently assign a modest probabilistic preference to SLVP due to its lower expense ratio, concentrated silver-mining exposure, and alignment with potential industrial demand tailwinds for the underlying commodity. SGDM remains competitively positioned for investors prioritizing gold-centric holdings and factor-enhanced selection. The ultimate choice depends on an investor’s specific view on relative gold versus silver price trajectories and tolerance for concentration risk.
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.
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.
The 10-day moving average for SLVP 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 12 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 90%.
SLVP 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.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SLVP 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 87%.
The Aroon Indicator for SLVP 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 RSI Indicator entered the oversold zone -- be on the watch for SLVP's price rising or consolidating in the future. That's also the time to consider buying the stock or exploring call options.
The Stochastic Oscillator is in the oversold zone. Keep an eye out for a move up in the foreseeable future.
The 50-day moving average for SLVP moved above the 200-day moving average on September 30, 2026. This could be a long-term bullish signal for the stock as the stock shifts to an upward trend.
Following a +4.76% 3-day Advance, the price is estimated to grow further. Considering data from situations where SLVP advanced for three days, in 287 of 310 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
SLVP may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
| SGDM | SLVP | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 88% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 89% | N/A |
| MACD ODDS (%) | 2 days ago 90% | N/A |
| TrendWeek ODDS (%) | 2 days ago 87% | 2 days ago 88% |
| TrendMonth ODDS (%) | 2 days ago 87% | 2 days ago 88% |
| Advances ODDS (%) | 8 days ago 90% | 8 days ago 90% |
| Declines ODDS (%) | 4 days ago 88% | 4 days ago 87% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 89% | 2 days ago 88% |
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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A.I.dvisor indicates that over the last year, SLVP has been closely correlated with PAAS. These tickers have moved in lockstep 94% of the time. This A.I.-generated data suggests there is a high statistical probability that if SLVP jumps, then PAAS could also see price increases.
| Ticker / NAME | Correlation To SLVP | 1D Price Change % | ||
|---|---|---|---|---|
| SLVP | 100% | -6.54% | ||
| PAAS - SLVP | 94% Closely correlated | -5.91% | ||
| WPM - SLVP | 93% Closely correlated | -6.54% | ||
| AEM - SLVP | 91% Closely correlated | -5.98% | ||
| NEM - SLVP | 90% Closely correlated | -2.62% | ||
| CDE - SLVP | 90% Closely correlated | -8.26% | ||
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