SGDJ
Price
$74.01
Change
-$2.72 (-3.54%)
Updated
Oct 23 closing price
Net Assets
309.85M
Intraday BUY SELL Signals
SGDM
Price
$67.38
Change
-$1.35 (-1.96%)
Updated
Oct 23 closing price
Net Assets
642.11M
Intraday BUY SELL Signals
SILJ
Price
$23.15
Change
-$0.50 (-2.11%)
Updated
Oct 23 closing price
Net Assets
3.29B
Intraday BUY SELL Signals
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SGDJ or SGDM or SILJ

SGDJ vs SGDM vs SILJ Comparison Chart in %
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A.I.Advisor
Oct 21, 2026

Which ETF would AI Choose? Sprott Junior Gold Miners ETF (SGDJ) vs. Sprott Gold Miners ETF (SGDM) vs. Amplify Junior Silver Miners ETF (SILJ)

Key Takeaways

  • SGDJ, SGDM, and SILJ provide targeted exposure to precious metals miners but differ in focus: junior gold miners, senior gold miners, and junior silver miners, respectively.
  • SGDM offers the lowest expense ratio at 0.46%, followed by SGDJ at 0.50% and SILJ at 0.69%, influencing long-term cost efficiency for investors.
  • SGDM holds approximately 48-50 securities with greater emphasis on larger-capitalization gold producers, while SGDJ maintains 31-33 holdings in smaller junior gold companies and SILJ tracks 68 junior silver names.
  • Structural differences include factor-based weighting in SGDJ and SGDM versus thematic market-cap weighting in SILJ, leading to varying concentration and sensitivity to gold versus silver price movements.
  • All three ETFs are passively managed, non-diversified vehicles focused on the materials sector, with quarterly or semi-annual rebalancing typical of their underlying indexes.
  • Relative positioning highlights SGDM's broader senior miner exposure for potentially lower volatility compared to the higher-risk junior profiles in SGDJ and SILJ.

Introduction

SGDJ, SGDM, and SILJ represent distinct approaches within the precious metals equity theme, allowing investors to compare strategies across gold and silver mining segments. These exchange-traded funds (ETFs) compete in the materials sector by targeting different market-capitalization tiers and metal emphases rather than tracking identical indexes. SGDJ and SGDM focus on gold miners with junior and senior orientations, respectively, while SILJ emphasizes junior silver producers. This comparison highlights structural variations in holdings, costs, and risk exposures that matter for portfolio construction in the current macroeconomic environment of fluctuating commodity prices and mining sector dynamics.

Sprott Junior Gold Miners ETF (SGDJ) Overview

SGDJ seeks to track the Solactive Junior Gold Miners Custom Factors Index, employing a rules-based, factor-enhanced methodology that weights smaller gold mining companies by elements such as revenue growth and price momentum. The ETF holds 31-33 securities, with top positions including Wesdome Gold Mines Ltd., Minerals 260 Ltd., and West African Resources Ltd. Sector allocation centers entirely on materials, specifically gold mining equities primarily listed in Canada, Australia, and other developed markets. Its expense ratio stands at 0.50%. As a passive, open-ended fund with semi-annual index rebalancing, SGDJ distinguishes itself through its emphasis on junior miners, resulting in higher concentration risk and greater sensitivity to exploration-stage developments.

Sprott Gold Miners ETF (SGDM) Overview

SGDM tracks the Solactive Gold Miners Custom Factors Index, applying fundamental factor adjustments such as revenue growth, free cash flow yield, and debt-to-equity metrics to larger gold mining firms. The fund maintains 48-50 holdings, with leading positions in Agnico Eagle Mines Ltd., Newmont Corporation, and Barrick Mining Corporation. Allocation remains 100% in materials, focused on senior producers listed on major North American exchanges. The expense ratio is 0.46%. This passive structure features quarterly rebalancing and prioritizes established operators, offering a more diversified profile within the gold equity space compared to junior-focused peers.

Amplify Junior Silver Miners ETF (SILJ) Overview

SILJ follows the Nasdaq Junior Silver Miners Index, providing exposure to companies deriving the majority of revenue from silver mining, production, or related exploration activities. It holds 68 securities, led by Hecla Mining Co., First Majestic Silver Corp., and Coeur Mining Inc. The portfolio allocates fully to materials with a thematic silver tilt across global issuers. Its expense ratio is 0.69%. The ETF uses quarterly rebalancing under a thematic market-cap weighting approach, setting it apart as the only vehicle among the three with a primary silver focus and junior capitalization emphasis.

Industry and Thematic Landscape

The precious metals mining sector operates amid macroeconomic influences including interest rate trajectories, inflation expectations, and industrial demand for silver in solar and electronics applications. Capital flows into gold and silver equities often respond to geopolitical tensions and currency movements, while regulatory developments in key mining jurisdictions such as Canada and Australia affect operational costs. Earnings trends among major holdings reflect leverage to spot metal prices, with senior producers generally exhibiting more stable cash flows than junior explorers. Sector risks encompass commodity price volatility, environmental regulations, and labor challenges, all of which shape the external environment for these thematic ETFs without favoring any single fund structure.

Performance and Positioning Comparison

In recent market cycles, structural differences have driven relative behaviors, with SGDJ and SILJ exhibiting higher volatility due to their junior miner concentrations and smaller average market capitalizations. SGDM has tended toward greater trend consistency through its senior gold focus and factor overlays that emphasize financial health metrics. Drawdowns in junior segments often prove more pronounced during risk-off periods, while silver-oriented exposure in SILJ adds sensitivity to industrial demand shifts. Performance divergences stem from holdings concentration, metal emphasis, and weighting methodologies, positioning SGDM for potentially steadier risk-adjusted outcomes in diversified precious metals allocations.

AI Screener

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.

Tickeron AI Verdict

Based on observable structural characteristics, SGDM presents a probabilistic edge through its lower expense ratio, broader holdings count, and focus on larger-capitalization gold miners with factor-based enhancements that support risk-adjusted positioning. This configuration may offer relative advantages in diversification depth and cost efficiency compared to the more concentrated junior profiles of SGDJ and SILJ, though all three remain subject to sector-specific risks and metal price dynamics.

Disclaimer

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.

Disclaimers and Limitations

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SUMMARIES
A.I.Advisor
a Summary for SGDJ with price predictions
Oct 23, 2026

SGDJ in downward trend: 10-day moving average crossed below 50-day moving average on October 02, 2026

The 10-day moving average for SGDJ 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 13 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 90%.

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

SGDJ 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 SGDJ 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%.

The Aroon Indicator for SGDJ entered a downward trend on October 23, 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.

Bullish Trend Analysis

The RSI Indicator demonstrates that the ticker has stayed in the oversold zone for 1 day, which means it's wise to expect a price bounce in the near future.

The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 2 days, which means it's wise to expect a price bounce in the near future.

The 50-day moving average for SGDJ moved above the 200-day moving average on September 25, 2026. This could be a long-term bullish signal for the stock as the stock shifts to an upward trend.

Following a +4.52% 3-day Advance, the price is estimated to grow further. Considering data from situations where SGDJ advanced for three days, in 310 of 342 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.

SGDJ may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.

A.I.Advisor
a Summary for SGDM with price predictions
Oct 23, 2026

SGDM sees MACD Histogram just turned negative

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 44 of the 49 cases the stock moved lower in the days that followed. This puts the odds of a downward move at 90%.

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

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 69 of 83 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 83%.

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 10 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 77%.

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 23, 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.

Bullish Trend Analysis

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 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.

A.I.Advisor
a Summary for SILJ with price predictions
Oct 23, 2026

SILJ in downward trend: price dove below 50-day moving average on September 28, 2026

SILJ 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. In 34 of 36 similar past instances, the stock price decreased further within the following month. The odds of a continued downward trend are 90%.

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

The 10-day moving average for SILJ crossed bearishly below the 50-day moving average on September 30, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 15 of 15 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%.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where SILJ 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 89%.

The Aroon Indicator for SILJ entered a downward trend on October 23, 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.

Bullish Trend Analysis

The RSI Indicator demonstrates that the ticker has stayed in the oversold zone for 1 day, which means it's wise to expect a price bounce in the near future.

The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 1 day, which means it's wise to expect a price bounce in the near future.

Following a +3.72% 3-day Advance, the price is estimated to grow further. Considering data from situations where SILJ advanced for three days, in 282 of 308 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.

SILJ may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.

TECHNICAL ANALYSIS
Technical Analysis
SGDJSGDMSILJ
RSI
ODDS (%)
Bullish Trend 2 days ago
90%
N/A
Bullish Trend 2 days ago
90%
Stochastic
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Momentum
ODDS (%)
N/A
Bearish Trend 2 days ago
83%
N/A
MACD
ODDS (%)
N/A
Bearish Trend 2 days ago
90%
N/A
TrendWeek
ODDS (%)
Bearish Trend 2 days ago
86%
Bearish Trend 2 days ago
87%
Bearish Trend 2 days ago
89%
TrendMonth
ODDS (%)
Bearish Trend 2 days ago
86%
Bearish Trend 2 days ago
87%
Bearish Trend 2 days ago
90%
Advances
ODDS (%)
Bullish Trend 9 days ago
90%
Bullish Trend 9 days ago
90%
Bullish Trend 9 days ago
90%
Declines
ODDS (%)
Bearish Trend 2 days ago
85%
Bearish Trend 2 days ago
88%
Bearish Trend 2 days ago
89%
BollingerBands
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Aroon
ODDS (%)
Bearish Trend 2 days ago
82%
Bearish Trend 2 days ago
89%
Bearish Trend 2 days ago
90%
View a ticker or compare two or three
SGDJ
Daily Signal:
Gain/Loss:
SGDM
Daily Signal:
Gain/Loss:
SILJ
Daily Signal:
Gain/Loss:
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SGDJ and

Correlation & Price change

A.I.dvisor indicates that over the last year, SGDJ has been closely correlated with SKE. These tickers have moved in lockstep 88% of the time. This A.I.-generated data suggests there is a high statistical probability that if SGDJ jumps, then SKE could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SGDJ
1D Price
Change %
SGDJ100%
-3.54%
SKE - SGDJ
88%
Closely correlated
-2.51%
EQX - SGDJ
86%
Closely correlated
-2.41%
OGC - SGDJ
86%
Closely correlated
-2.02%
DRD - SGDJ
85%
Closely correlated
-1.56%
SA - SGDJ
84%
Closely correlated
-1.69%
More

SGDM and

Correlation & Price change

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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SGDM
1D Price
Change %
SGDM100%
-1.96%
AEM - SGDM
96%
Closely correlated
-1.25%
WPM - SGDM
95%
Closely correlated
-2.14%
IAG - SGDM
93%
Closely correlated
-0.97%
NEM - SGDM
92%
Closely correlated
-4.59%
AU - SGDM
91%
Closely correlated
-1.88%
More