AUMI
Price
$103.80
Change
-$4.20 (-3.89%)
Updated
Aug 28 closing price
Net Assets
28.06M
Intraday BUY SELL Signals
SGDM
Price
$82.90
Change
-$3.22 (-3.74%)
Updated
Aug 28 closing price
Net Assets
766.07M
Intraday BUY SELL Signals
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AUMI vs SGDM

AUMI vs SGDM Comparison Chart in %
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A.I.Advisor
Aug 26, 2026

Which ETF would AI Choose? Themes Gold Miners ETF (AUMI) vs. Sprott Gold Miners ETF (SGDM)

Key Takeaways

  • Themes Gold Miners ETF (AUMI) offers lower-cost exposure to a global universe of pure-play gold miners through a market-capitalization-weighted index, while Sprott Gold Miners ETF (SGDM) applies a factor-based methodology focused on larger North American gold companies.
  • AUMI maintains approximately 30 holdings with an expense ratio of 0.35%, providing broader geographic diversification across Canada, Australia, and other regions; SGDM holds around 49 securities with an expense ratio of 0.46% and emphasizes U.S. and Canadian issuers.
  • Both ETFs are passively managed vehicles targeting the gold mining sector within the Equity Precious Metals category, yet they differ in index construction, rebalancing frequency, and liquidity profiles.
  • SGDM benefits from greater assets under management and longer operating history since 2014, supporting potentially tighter bid-ask spreads compared with the newer AUMI fund launched in late 2023.
  • Structural differences in holdings concentration, country allocation, and factor tilts create distinct risk-return profiles for investors seeking gold equity exposure.
  • Cost efficiency, diversification breadth, and factor emphasis represent the primary axes of differentiation between the two funds.

Introduction

Gold mining equities provide investors with leveraged exposure to gold prices alongside operational and geopolitical considerations unique to the sector. Themes Gold Miners ETF (AUMI) and Sprott Gold Miners ETF (SGDM) both deliver targeted access to this space but pursue different strategies within the same broad theme. Rather than direct competitors, the funds represent alternative implementations of gold miner exposure—one emphasizing global pure-play market-cap weighting and the other incorporating custom factors within a North American focus. This comparison highlights structural distinctions that may influence suitability for varying investor objectives in the current environment of fluctuating commodity prices and central bank activity.

Themes Gold Miners ETF (AUMI) Overview

Themes Gold Miners ETF (AUMI) seeks to track the Solactive Global Pure Gold Miners Index, which selects the largest 30 companies by market capitalization deriving revenues primarily from gold mining. The fund holds approximately 30 securities and allocates nearly all assets to the Materials sector, with primary country exposures in Canada and Australia. Top holdings typically include companies such as Equinox Gold Corp., DPM Metals Inc., and AngloGold Ashanti Plc. AUMI employs a passive, market-capitalization-weighted approach with semi-annual rebalancing and carries an expense ratio of 0.35%. Launched in December 2023, the ETF is non-diversified and provides global exposure through a rules-based methodology focused on pure-play miners.

Sprott Gold Miners ETF (SGDM) Overview

Sprott Gold Miners ETF (SGDM) tracks the Solactive Gold Miners Custom Factors Index, which targets larger-sized gold companies listed on Canadian and major U.S. exchanges while incorporating factors such as revenue growth, free cash flow yield, and low long-term debt-to-equity ratios. The fund maintains around 49 holdings, with the majority concentrated in North America. Prominent positions often feature Agnico Eagle Mines Limited, Barrick Mining Corporation, and Newmont Corporation. SGDM follows a passive, factor-enhanced strategy reconstituted quarterly and maintains an expense ratio of 0.46%. Established in 2014, the ETF offers greater scale and a longer track record within the Equity Precious Metals category.

Industry and Thematic Backdrop

The gold mining sector operates within a macroeconomic environment shaped by central bank gold purchases, interest rate expectations, and geopolitical developments. Persistent inflation concerns and diversification efforts by monetary authorities have supported demand for physical gold, indirectly influencing miner equities. Regulatory considerations around mining permits and environmental standards continue to affect operational costs, while capital expenditure cycles among producers influence free cash flow generation. Both ETFs remain sensitive to broader commodity trends and equity market sentiment toward resource sectors, with exposure concentrated in a cyclical industry subject to input cost pressures and reserve depletion dynamics.

Performance and Positioning Comparison

In recent market cycles, gold miner ETFs have exhibited sensitivity to gold price movements and sector-specific factors such as production guidance and merger activity among holdings. AUMI’s global pure-play focus may introduce additional volatility from emerging-market or Australian operations, while SGDM’s factor emphasis and North American tilt could moderate exposure to certain regional risks. Over broader timeframes, relative performance has reflected differences in holdings concentration and rebalancing methodology, with SGDM benefiting from larger average market capitalizations among constituents. Investors evaluating positioning often consider liquidity metrics and expense differentials alongside the thematic tailwinds of sustained central bank buying and potential shifts in monetary policy.

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. Explore opportunities with the AI Screener.

Tickeron AI Verdict

Based on observable structural characteristics, Tickeron’s AI would currently assign a modest probabilistic edge to Themes Gold Miners ETF (AUMI) owing to its lower expense ratio and broader global diversification across pure-play miners. SGDM’s larger scale, longer history, and factor-based selection offer compensating advantages in liquidity and established methodology. Final selection depends on individual preferences for cost efficiency versus proven operational scale within the gold mining theme.

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
AUMI vs. SGDM commentary
Aug 29, 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 AUMI is a Hold and SGDM is a StrongBuy.

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SUMMARIES
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FUNDAMENTALS
Fundamentals
SGDM has more net assets: 766M vs. AUMI (28.1M). SGDM has a higher annual dividend yield than AUMI: SGDM (19.058) vs AUMI (12.886). AUMI was incepted earlier than SGDM: AUMI (3 years) vs SGDM (12 years). AUMI (0.35) has a lower expense ratio than SGDM (0.46). SGDM has a higher turnover AUMI (29.00) vs AUMI (29.00).
AUMISGDMAUMI / SGDM
Gain YTD12.88619.05868%
Net Assets28.1M766M4%
Total Expense Ratio0.350.4676%
Turnover29.0059.0049%
Yield1.031.1888%
Fund Existence3 years12 years-
TECHNICAL ANALYSIS
Technical Analysis
AUMISGDM
RSI
ODDS (%)
Bearish Trend 2 days ago
90%
Bearish Trend 2 days ago
90%
Stochastic
ODDS (%)
Bearish Trend 2 days ago
85%
Bearish Trend 2 days ago
86%
Momentum
ODDS (%)
Bullish Trend 4 days ago
90%
Bullish Trend 2 days ago
90%
MACD
ODDS (%)
N/A
N/A
TrendWeek
ODDS (%)
Bearish Trend 2 days ago
82%
Bearish Trend 2 days ago
87%
TrendMonth
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Advances
ODDS (%)
Bullish Trend 5 days ago
90%
Bullish Trend 5 days ago
90%
Declines
ODDS (%)
N/A
N/A
BollingerBands
ODDS (%)
Bearish Trend 2 days ago
81%
Bearish Trend 2 days ago
87%
Aroon
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
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Daily Signal:
Gain/Loss:
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Daily Signal:
Gain/Loss:
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AUMI and

Correlation & Price change

A.I.dvisor indicates that over the last year, AUMI has been loosely correlated with TXG. These tickers have moved in lockstep 36% 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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To AUMI
1D Price
Change %
AUMI100%
-3.89%
TXG - AUMI
36%
Loosely correlated
-5.10%
EQX - AUMI
2%
Poorly correlated
-3.42%
PRU - AUMI
2%
Poorly correlated
-0.48%
AGI - AUMI
0%
Poorly correlated
-2.98%
AU - AUMI
-0%
Poorly correlated
-4.40%
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%
-3.74%
AEM - SGDM
96%
Closely correlated
-4.27%
WPM - SGDM
95%
Closely correlated
-2.95%
NEM - SGDM
92%
Closely correlated
-3.26%
IAG - SGDM
92%
Closely correlated
-4.41%
PAAS - SGDM
91%
Closely correlated
-3.68%
More