COPP
Price
$42.88
Change
+$0.08 (+0.19%)
Updated
Sep 11 closing price
Net Assets
289.41M
Intraday BUY SELL Signals
XME
Price
$113.63
Change
-$1.14 (-0.99%)
Updated
Sep 11 closing price
Net Assets
4.7B
Intraday BUY SELL Signals
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COPP vs XME

COPP vs XME Comparison Chart in %
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A.I.Advisor
Aug 26, 2026

Which ETF would AI Choose? Sprott Copper Miners ETF (COPP) vs. SPDR S&P Metals & Mining ETF (XME)

Key Takeaways

  • Sprott Copper Miners ETF (COPP) offers concentrated exposure to copper producers, developers, explorers, and physical copper, while SPDR S&P Metals & Mining ETF (XME) provides broader equal-weighted access across multiple metals and mining sub-industries including copper, gold, silver, and steel.
  • COPP tracks the Nasdaq Sprott Copper Miners Index with a higher expense ratio of 0.66%, compared to XME’s lower 0.35% expense ratio tracking the S&P Metals and Mining Select Industry Index.
  • COPP maintains a focused thematic strategy with fewer holdings centered on pure-play copper companies, whereas XME’s modified equal-weighted approach across approximately 39 holdings reduces single-commodity concentration risk.
  • Top holdings in COPP are dominated by large copper producers such as Freeport-McMoRan Inc. (FCX), while XME features a more diversified top tier including uranium and precious metals miners.
  • Both ETFs are passively managed and rebalanced periodically, but COPP’s inclusion of physical copper adds a unique structural element not present in XME.
  • Structural differences position COPP for investors seeking targeted copper exposure and XME for those preferring diversified metals and mining sector participation at lower cost.

Introduction

Investors evaluating copper and broader metals exposure often compare specialized thematic funds against diversified sector vehicles. Sprott Copper Miners ETF (COPP) and SPDR S&P Metals & Mining ETF (XME) do not compete directly but represent distinct strategies within the natural resources space. COPP delivers concentrated access to the copper value chain, while XME spans multiple mining sub-sectors. This comparison highlights structural differences, cost profiles, and positioning to help investors align choices with specific commodity or sector objectives in evolving market conditions.

Sprott Copper Miners ETF (COPP) Overview

Sprott Copper Miners ETF (COPP) is a passively managed fund launched in March 2024 that seeks to track the Nasdaq Sprott Copper Miners Index. The index focuses on global securities deriving significant revenue from copper mining, exploration, development, and production, with an allocation to physical copper added in 2025. The ETF holds a concentrated portfolio of 30 to 50 constituents and features top holdings including Freeport-McMoRan Inc. (FCX), Teck Resources Ltd., Southern Copper Corporation, and Sprott Physical Copper Trust. Nearly all assets are allocated to basic materials, primarily copper-related companies. COPP carries an expense ratio of 0.66% and employs semi-annual index rebalancing. Its thematic, pure-play copper focus distinguishes it from broader mining products.

SPDR S&P Metals & Mining ETF (XME) Overview

SPDR S&P Metals & Mining ETF (XME) is a long-established passively managed fund launched in 2006 that tracks the S&P Metals and Mining Select Industry Index. The index represents the metals and mining segment of the S&P Total Market Index, encompassing sub-industries such as aluminum, copper, diversified metals, gold, silver, and steel. XME uses a modified equal-weighted methodology across approximately 39 holdings, promoting broader diversification than market-cap-weighted peers. Top holdings typically include names such as Hecla Mining Co., Centrus Energy Corp., and Freeport-McMoRan Inc. (FCX). The ETF maintains an expense ratio of 0.35% and rebalances quarterly. Its equal-weighted structure and multi-metal exposure differentiate it from single-commodity thematic funds.

Industry and Thematic Backdrop

The copper and metals mining sectors are influenced by global demand for electrification, renewable energy infrastructure, and industrial applications. Copper benefits from long-term structural tailwinds tied to electric vehicles, data centers, and grid modernization, while broader metals exposure in XME captures cyclical dynamics across precious metals and steel. Macro drivers include interest rate expectations, supply constraints, and geopolitical factors affecting mining operations. Both ETFs face risks from commodity price volatility, regulatory changes in mining jurisdictions, and shifts in capital expenditure by producers. Recent market cycles have highlighted varying sensitivity to these factors depending on each fund’s concentration profile.

Performance and Positioning Comparison

In recent market cycles, COPP’s concentrated copper focus has aligned performance more closely with copper price trends and producer earnings, resulting in potentially higher volatility during commodity swings. XME’s equal-weighted, multi-metal construction has delivered more balanced exposure, tempering moves tied to any single metal while participating in sector-wide rotations. During periods of copper strength or weakness, COPP has shown greater sensitivity, whereas XME has reflected broader mining sentiment influenced by gold, silver, and steel cycles. Relative positioning favors COPP for investors prioritizing copper-specific momentum and XME for those seeking diversified metals participation with lower expense drag and reduced concentration risk.

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. Investors seeking data-driven insights into funds like COPP and XME can leverage the platform to refine their analysis.

Tickeron AI Verdict

Based on observable structural characteristics, Tickeron’s AI would currently assign a modest probabilistic preference to SPDR S&P Metals & Mining ETF (XME) due to its lower expense ratio, broader diversification across metals sub-sectors, and established equal-weighted methodology that supports consistent sector participation with reduced single-commodity risk. COPP’s higher cost and concentrated copper exposure offer stronger thematic alignment for investors with specific copper views, though the AI notes XME’s cost efficiency and risk-spreading features as advantages in a range of market environments.

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
COPP vs. XME commentary
Sep 12, 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 COPP is a Hold and XME is a Hold.

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SUMMARIES
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FUNDAMENTALS
Fundamentals
XME has more net assets: 4.7B vs. COPP (289M). COPP has a higher annual dividend yield than XME: COPP (23.183) vs XME (9.814). COPP was incepted earlier than XME: COPP (3 years) vs XME (20 years). XME (0.35) has a lower expense ratio than COPP (0.66). XME has a higher turnover COPP (29.00) vs COPP (29.00).
COPPXMECOPP / XME
Gain YTD23.1839.814236%
Net Assets289M4.7B6%
Total Expense Ratio0.660.35189%
Turnover29.0048.0060%
Yield1.830.32580%
Fund Existence3 years20 years-
TECHNICAL ANALYSIS
Technical Analysis
COPPXME
RSI
ODDS (%)
Bearish Trend 2 days ago
78%
Bearish Trend 2 days ago
83%
Stochastic
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Momentum
ODDS (%)
Bearish Trend 2 days ago
88%
Bearish Trend 2 days ago
80%
MACD
ODDS (%)
Bearish Trend 2 days ago
86%
Bearish Trend 2 days ago
83%
TrendWeek
ODDS (%)
Bearish Trend 2 days ago
85%
Bearish Trend 2 days ago
86%
TrendMonth
ODDS (%)
Bullish Trend 2 days ago
90%
Bearish Trend 2 days ago
85%
Advances
ODDS (%)
Bullish Trend 4 days ago
90%
Bullish Trend 5 days ago
90%
Declines
ODDS (%)
Bearish Trend 12 days ago
86%
Bearish Trend 2 days ago
87%
BollingerBands
ODDS (%)
Bearish Trend 2 days ago
86%
Bullish Trend 2 days ago
85%
Aroon
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
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