These three exchange-traded funds (ETFs) allow investors to access the precious metals theme through fundamentally different vehicles. FGDL provides direct exposure to physical gold via a grantor trust. GOEX and SIL deliver equity exposure to companies engaged in gold exploration and silver mining, respectively. They do not track identical indexes but instead represent tiered approaches to the same broad sector, ranging from pure commodity price tracking to operational mining equities. This comparison highlights how structural design influences diversification, costs, and sensitivity to macroeconomic factors.
FGDL is a grantor trust that seeks to reflect the performance of the price of gold bullion, less expenses, by holding physical gold sourced from London Bullion Market Association (LBMA) accredited refiners meeting responsible sourcing standards. The fund maintains one primary holding consisting of gold bullion. Its expense ratio stands at 0.15%. The structure is passive with no rebalancing required beyond custody adjustments. FGDL offers investors a cost-efficient means of obtaining investment exposure similar to direct gold ownership through securities markets.
GOEX is an open-end fund that tracks the Solactive Global Gold Explorers & Developers Total Return Index. The index selects companies primarily engaged in identifying new gold deposits or advancing mining projects prior to production decisions. The ETF holds approximately 51 securities, with allocations concentrated in the basic materials sector across global regions including Canada, Australia, and the United States. Its expense ratio is 0.65%. The fund employs passive management with semi-annual index reconstitution and rebalancing.
SIL is an open-end fund that tracks the Solactive Global Silver Miners Total Return Index. The index measures the equity performance of global companies involved in silver mining, including exploration and refining activities. The ETF holds approximately 39 securities, with top allocations typically including major silver producers and streamers. Its expense ratio is 0.65%. The fund follows a passive strategy with semi-annual reconstitution and rebalancing, providing targeted exposure within the basic materials sector.
The precious metals sector encompasses gold and silver, influenced by macroeconomic drivers such as inflation hedging, interest rate environments, geopolitical tensions, and industrial demand. Gold serves primarily as a store of value, while silver combines monetary characteristics with growing industrial applications in solar energy, electronics, and electric vehicles. Capital flows into the sector often accelerate during periods of economic uncertainty or monetary expansion. Regulatory developments around responsible sourcing and mining operations, along with supply constraints from major producing regions, shape the broader environment for both physical metals and related equities.
In recent market cycles, FGDL has exhibited lower volatility consistent with direct commodity price movements, showing sensitivity primarily to gold spot prices and storage costs. GOEX and SIL have displayed higher volatility due to equity exposure, with performance influenced by operational factors including production costs, project development timelines, and company-specific execution. Differences in drawdowns and trend consistency arise from FGDL's single-asset concentration versus the diversified yet equity-levered holdings in GOEX and SIL. Concentration risk remains elevated in FGDL, while GOEX and SIL benefit from broader issuer diversification but carry additional sector and geographic risks.
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.
Based on observable structural strength, diversification profile, cost efficiency, and risk-adjusted positioning, Tickeron’s AI would currently assign the highest probabilistic favorability to FGDL. Its materially lower expense ratio and direct physical backing provide a more stable and efficient mechanism for precious metals exposure compared with the higher-cost equity structures of GOEX and SIL, which introduce additional operational variables.
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.
FGDL 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 47 instances where the indicator turned negative. In 37 of the 47 cases the stock moved lower in the days that followed. This puts the odds of a downward move at 79%.
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In 34 of 52 cases where FGDL's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are 65%.
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 FGDL as a result. In 47 of 76 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 62%.
FGDL moved below its 50-day moving average on September 23, 2026 date and that indicates a change from an upward trend to a downward trend.
The 10-day moving average for FGDL crossed bearishly below the 50-day moving average on September 28, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 8 of 11 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 73%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where FGDL 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 63%.
The Aroon Indicator for FGDL 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 +2.43% 3-day Advance, the price is estimated to grow further. Considering data from situations where FGDL advanced for three days, in 230 of 277 cases, the price rose further within the following month. The odds of a continued upward trend are 83%.
FGDL may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The RSI Oscillator for GOEX moved into overbought territory on October 22, 2026. Be on the watch for a price drop or consolidation in the future -- when this happens, think about selling the stock or exploring put 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 GOEX 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 +0.44% 3-day Advance, the price is estimated to grow further. Considering data from situations where GOEX advanced for three days, in 276 of 310 cases, the price rose further within the following month. The odds of a continued upward trend are 89%.
GOEX may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
GOEX 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 GOEX 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 12 of 14 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 86%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where GOEX 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 GOEX 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 Aroon Indicator for SIL entered a downward trend on October 22, 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 150 similar instances where the Aroon Indicator formed such a pattern. In 132 of the 150 cases the stock moved lower. This puts the odds of a downward move at 88%.
SIL 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 SIL 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 14 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 86%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SIL 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 86%.
The RSI Indicator entered the oversold zone -- be on the watch for SIL'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 SIL moved above the 200-day moving average on October 07, 2026. This could be a long-term bullish signal for the stock as the stock shifts to an upward trend.
Following a +3.73% 3-day Advance, the price is estimated to grow further. Considering data from situations where SIL advanced for three days, in 296 of 321 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
SIL may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
| FGDL | GOEX | SIL | |
|---|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 90% | 2 days ago 89% |
| Stochastic ODDS (%) | 2 days ago 65% | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 62% | N/A | N/A |
| MACD ODDS (%) | 2 days ago 79% | N/A | N/A |
| TrendWeek ODDS (%) | 2 days ago 69% | 2 days ago 85% | 2 days ago 87% |
| TrendMonth ODDS (%) | 2 days ago 72% | 2 days ago 84% | 2 days ago 88% |
| Advances ODDS (%) | 15 days ago 83% | 3 days ago 89% | 8 days ago 90% |
| Declines ODDS (%) | 4 days ago 63% | 5 days ago 84% | 4 days ago 86% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 74% | 2 days ago 83% | 2 days ago 88% |
A.I.dvisor indicates that over the last year, GOEX has been closely correlated with DRD. These tickers have moved in lockstep 83% of the time. This A.I.-generated data suggests there is a high statistical probability that if GOEX jumps, then DRD could also see price increases.
| Ticker / NAME | Correlation To GOEX | 1D Price Change % | ||
|---|---|---|---|---|
| GOEX | 100% | -6.34% | ||
| DRD - GOEX | 83% Closely correlated | -6.02% | ||
| EMR - GOEX | 46% Loosely correlated | -1.73% | ||
| OSK - GOEX | 37% Loosely correlated | -0.91% | ||
| SSRM - GOEX | 14% Poorly correlated | -7.18% | ||
| AUGO - GOEX | 10% Poorly correlated | -7.93% | ||
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A.I.dvisor indicates that over the last year, SIL has been closely correlated with PAAS. These tickers have moved in lockstep 95% of the time. This A.I.-generated data suggests there is a high statistical probability that if SIL jumps, then PAAS could also see price increases.
| Ticker / NAME | Correlation To SIL | 1D Price Change % | ||
|---|---|---|---|---|
| SIL | 100% | -6.65% | ||
| PAAS - SIL | 95% Closely correlated | -5.91% | ||
| WPM - SIL | 95% Closely correlated | -6.54% | ||
| CDE - SIL | 91% Closely correlated | -8.26% | ||
| OR - SIL | 90% Closely correlated | -4.25% | ||
| VZLA - SIL | 82% Closely correlated | -5.06% | ||
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| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| IYT | 81.92 | 1.96 | +2.46% |
| iShares US Transportation ETF (IYT) | |||
| JMSI | 48.35 | 0.43 | +0.89% |
| JPMorgan Sustainable Municipal Income ETF (JMSI) | |||
| AUSM | 24.98 | 0.03 | +0.10% |
| Allspring Ultra Short Municipal ETF (AUSM) | |||
| AOHY | 10.73 | 0.01 | +0.06% |
| Angel Oak High Yield Opportunities ETF (AOHY) | |||
| IOYY | 5.18 | -0.05 | -0.96% |
| GraniteShares YieldBOOST IONQ ETF (IOYY) | |||