RING
Price
$76.40
Change
+$1.21 (+1.61%)
Updated
Nov 6 closing price
Net Assets
2.24B
Intraday BUY SELL Signals
SGDM
Price
$74.50
Change
+$1.92 (+2.65%)
Updated
Nov 6 closing price
Net Assets
616.52M
Intraday BUY SELL Signals
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RING vs SGDM

RING vs SGDM Comparison Chart in %
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A.I.Advisor
Nov 06, 2026

Which ETF would AI Choose? iShares MSCI Global Gold Miners ETF (RING) vs. Sprott Gold Miners ETF (SGDM)

Key Takeaways

  • RING offers broad, market-cap-weighted global exposure to gold miners across developed and emerging markets, while SGDM concentrates on higher-quality U.S. and Canadian producers selected through a rules-based factor process.
  • RING is the lower-cost option at a 0.39% expense ratio versus SGDM's 0.46%, and it holds a larger, more liquid portfolio of roughly 50–55 securities compared with SGDM's approximately 40 issuers.
  • SGDM tilts toward financial quality factors such as revenue growth, cash flow, and lower leverage, and it is rebalanced quarterly, whereas RING tracks a conventional market-cap-weighted index.
  • Geographic concentration is a key differentiator: RING is globally diversified (Canada, the U.S., South Africa, China, and Australia), while SGDM is overwhelmingly North American, with Canada representing the clear majority of assets.
  • Both funds are non-diversified and highly sensitive to gold prices, so their relative positioning turns on diversification breadth versus quality screening rather than different commodity exposure.
  • Tickeron AI Verdict: Based on cost efficiency, broader diversification, and deeper liquidity, Tickeron's AI currently favors RING.

Introduction

Gold miners occupy a distinct corner of the materials universe, offering leverage to gold prices while adding company-specific operating and geopolitical risk. RING and SGDM sit in the same category — both pursue exposure to gold-mining equities — but they do so through meaningfully different index designs. RING casts a wide global net using market-capitalization weighting, while SGDM applies a quality-oriented factor screen limited to North American listings. For investors weighing sector exposure and relative positioning, this ETF comparison clarifies which vehicle better aligns with a given risk profile in the current market environment.

iShares MSCI Global Gold Miners ETF (RING) Overview

RING is a passively managed fund that seeks to track the MSCI ACWI Select Gold Miners Investable Market Index (IMI), a benchmark spanning developed and emerging markets. It generally holds roughly 50–55 companies primarily engaged in gold mining, making it the broader and more globally diversified of the two funds.

Top holdings are led by large-cap producers, including NEM (Newmont Corporation), Agnico Eagle Mines (AEM), Barrick Gold, Wheaton Precious Metals (WPM), AngloGold Ashanti (AU), Kinross Gold (KGC), Gold Fields (GFI), and Pan American Silver (PAAS). The top ten positions have historically accounted for roughly two-thirds of assets, indicating meaningful concentration in the largest miners. Sector allocation is almost entirely gold (over 98% in recent reporting), with minimal diversified metals and cash exposure. Geographically, Canada, the United States, South Africa, China, and Australia are the primary country exposures.

The fund charges a 0.39% expense ratio, uses market-cap weighting, and is non-diversified, meaning single-stock and single-country moves can carry outsized influence on returns.

Sprott Gold Miners ETF (SGDM) Overview

SGDM is a rules-based fund that seeks to track the Solactive Gold Miners Custom Factors Index, which selects and weights gold companies whose stocks trade on Canadian and major U.S. exchanges. Rather than pure market-cap weighting, the index applies a custom factor approach emphasizing quality characteristics such as revenue growth, cash flow generation, and lower debt-to-equity ratios. The index is rebalanced quarterly.

The portfolio holds approximately 40 issuers, with top positions including Agnico Eagle Mines (AEM), Barrick Gold, Newmont (NEM), Wheaton Precious Metals (WPM), Franco-Nevada (FNV), Kinross Gold (KGC), and Coeur Mining (CDE). Industry weighting is dominated by gold (roughly 85–87%), with the balance in precious metals and silver.

SGDM carries a 0.46% expense ratio and is also non-diversified. Its defining structural traits are its North American focus — Canada alone accounts for the large majority of assets — and its quality tilt, which has historically contributed to lower beta (a measure of volatility relative to the broad market) than a simple market-cap basket.

Industry and Thematic Backdrop

Both funds are driven by the same macro forces: gold prices, real (inflation-adjusted) interest rates, U.S. dollar direction, central-bank gold purchases, and investor demand for defensive assets. When real yields fall or geopolitical uncertainty rises, gold tends to strengthen, lifting miner revenues and, with operating leverage, amplifying equity returns. Conversely, rising real rates and a firm dollar typically pressure the group.

Miner-specific catalysts also matter, including production costs, free cash flow generation, reserve replacement, and merger-and-acquisition (M&A) activity, which has historically consolidated the sector. Regulatory and country risk — particularly in jurisdictions such as South Africa and China, where RING has exposure — is a more prominent variable for RING than for SGDM, whose North American bias reduces emerging-market and political risk but increases single-country concentration.

Performance and Positioning Comparison

Over recent market cycles, both funds have moved closely with gold prices, but their relative positioning has diverged. RING's global scope and market-cap weighting have historically made it more responsive to rallies in the largest miners and to emerging-market producers, while also exposing it to higher country-specific volatility. SGDM's quality screen and North American concentration have tended to produce a somewhat smoother, lower-beta profile, with less exposure to higher-risk jurisdictions.

When large-cap names such as Newmont (NEM) and Agnico Eagle (AEM) lead the sector, both funds benefit, though RING's heavier concentration in these mega-caps can amplify that effect. When mid-cap and Canadian royalty names outperform, SGDM's factor-tilted construction may capture that leadership more directly. Volatility differences are structural: RING's broader geography adds diversification breadth, while SGDM's quality screen adds balance-sheet discipline. Cost also compounds over time, giving RING a modest long-term drag advantage on fund performance.

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 securities using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener helps surface trade ideas, trending tickers, breakout candidates, and market opportunities far more efficiently than manual screening. Explore the AI Screener to build a data-driven view of the gold-mining universe and compare funds side by side.

Tickeron AI Verdict

Based on observable structural factors, Tickeron's AI would currently favor RING. The fund's lower expense ratio (0.39% versus 0.46%), broader global diversification across roughly 50–55 holdings, deeper liquidity, and larger asset base give it a structural edge in cost efficiency and breadth. While SGDM's quality factor screen is a legitimate differentiator for investors seeking a lower-beta, balance-sheet-conscious portfolio, RING's market-cap-weighted global reach and tighter fee profile align more closely with a broadly diversified, cost-conscious approach to gold-miner sector exposure. This assessment is probabilistic and based on fund structure rather than a prediction of short-term price movements.

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

VS
RING vs. SGDM commentary
Nov 08, 2026

To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is RING is a Hold and SGDM is a Buy.

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SUMMARIES
A.I.Advisor
a Summary for RING with price predictions
Nov 06, 2026

Momentum Indicator for RING turns positive, indicating new upward trend

RING saw its Momentum Indicator move above the 0 level on November 05, 2026. This is an indication that the stock could be shifting in to a new upward move. Traders may want to consider buying the stock or buying call options. Tickeron's A.I.dvisor looked at 75 similar instances where the indicator turned positive. In 70 of the 75 cases, the stock moved higher in the following days. The odds of a move higher are at 90%.

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The RSI Oscillator points to a transition from a downward trend to an upward trend -- in cases where RING's RSI Indicator exited the oversold zone, 23 of 26 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 88%.

The Moving Average Convergence Divergence (MACD) for RING just turned positive on November 05, 2026. Looking at past instances where RING's MACD turned positive, the stock continued to rise in 48 of 50 cases over the following month. The odds of a continued upward trend are 90%.

Following a +3.33% 3-day Advance, the price is estimated to grow further. Considering data from situations where RING advanced for three days, in 286 of 311 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.

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

Bearish Trend Analysis

The Stochastic Oscillator entered the overbought zone. Expect a price pull-back in the foreseeable future.

The 10-day moving average for RING 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 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%.

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

A.I.Advisor
a Summary for SGDM with price predictions
Nov 06, 2026

SGDM's RSI Indicator ascends from oversold territory

The RSI Oscillator for SGDM moved out of oversold territory on November 02, 2026. This could be a sign that the stock is shifting from a downward trend to an upward trend. Traders may want to buy the stock or call options. The A.I.dvisor looked at 24 similar instances when the indicator left oversold territory. In 24 of the 24 cases the stock moved higher. This puts the odds of a move higher at 90%.

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

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 +5.08% 3-day Advance, the price is estimated to grow further. Considering data from situations where SGDM advanced for three days, in 288 of 315 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.

Bearish Trend Analysis

The Stochastic Oscillator entered the overbought zone. Expect a price pull-back in the foreseeable future.

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 13 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%.

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 30, 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.

TECHNICAL ANALYSIS
Technical Analysis
RINGSGDM
RSI
ODDS (%)
Bullish Trend 2 days ago
88%
Bullish Trend 2 days ago
90%
Stochastic
ODDS (%)
Bearish Trend 2 days ago
86%
Bearish Trend 2 days ago
90%
Momentum
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
MACD
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
TrendWeek
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
TrendMonth
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Advances
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Declines
ODDS (%)
Bearish Trend 9 days ago
87%
Bearish Trend 9 days ago
88%
BollingerBands
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Aroon
ODDS (%)
Bearish Trend 2 days ago
85%
Bearish Trend 2 days ago
88%
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RING and

Correlation & Price change

A.I.dvisor indicates that over the last year, RING has been closely correlated with WPM. These tickers have moved in lockstep 96% of the time. This A.I.-generated data suggests there is a high statistical probability that if RING jumps, then WPM could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To RING
1D Price
Change %
RING100%
+1.61%
WPM - RING
96%
Closely correlated
+2.91%
NEM - RING
95%
Closely correlated
+1.00%
EQX - RING
91%
Closely correlated
+2.13%
AGI - RING
91%
Closely correlated
+2.41%
ARIS - RING
90%
Closely correlated
+2.42%
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%
+2.65%
AEM - SGDM
96%
Closely correlated
+1.33%
WPM - SGDM
95%
Closely correlated
+2.91%
IAG - SGDM
93%
Closely correlated
+7.20%
NEM - SGDM
93%
Closely correlated
+1.00%
OR - SGDM
91%
Closely correlated
+2.87%
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