ICOP
Price
$57.31
Change
-$0.57 (-0.98%)
Updated
Sep 4 closing price
Net Assets
498.82M
Intraday BUY SELL Signals
XME
Price
$118.62
Change
+$0.24 (+0.20%)
Updated
Sep 4 closing price
Net Assets
4.87B
Intraday BUY SELL Signals
Interact to see
Advertisement

ICOP vs XME

ICOP vs XME Comparison Chart in %
loading
loading
View a ticker or compare two or three
A.I.Advisor
Aug 26, 2026

Which ETF would AI Choose? iShares Copper and Metals Mining ETF (ICOP) vs. SPDR S&P Metals & Mining ETF (XME)

Key Takeaways

  • ICOP provides targeted global exposure to copper and metals mining companies, while XME offers broader U.S.-focused exposure across the metals and mining sector through an equal-weighted approach.
  • ICOP tracks the STOXX Global Copper and Metals Mining Index with approximately 45 holdings and a 0.47% expense ratio, emphasizing copper ore mining revenue.
  • XME tracks the S&P Metals and Mining Select Industry Index with around 37-39 holdings, a lower 0.35% expense ratio, and includes sub-sectors such as gold, silver, steel, and coal.
  • ICOP features concentrated top holdings in large international miners and heavy geographic allocation to Canada, the United Kingdom, and Australia, whereas XME uses modified equal weighting to balance exposure across U.S. companies of varying market capitalizations.
  • Both ETFs are passively managed equity vehicles focused on the materials sector, but ICOP represents a narrower thematic strategy compared to XME’s diversified industry representation.
  • Cost efficiency and diversification favor XME structurally, while ICOP offers higher-conviction exposure to copper demand trends.

Introduction

ICOP and XME both target the metals and mining space, yet they address distinct investor objectives within the sector. ICOP delivers concentrated exposure to global copper and metals mining equities, appealing to those seeking thematic bets on copper demand. XME provides broader U.S. metals and mining coverage across multiple sub-industries. These ETFs do not compete directly but serve as complementary or alternative tools for investors pursuing sector exposure, with differences in geographic reach, concentration, and weighting methodologies shaping their risk and return profiles in varying market environments.

iShares Copper and Metals Mining ETF (ICOP) Overview

The iShares Copper and Metals Mining ETF (ICOP) is a passively managed fund that seeks to track the STOXX Global Copper and Metals Mining Index (Net). It holds approximately 45 securities, primarily companies deriving significant revenue from copper and metal ore mining. Top holdings typically include BHP Group Ltd, Anglo American PLC, Grupo Mexico B, Freeport-McMoRan Inc, and Teck Resources, accounting for a substantial portion of assets. Sector allocation is overwhelmingly concentrated in materials at over 99%. The expense ratio stands at 0.47%. The fund employs physical replication and features global geographic diversification, with notable weightings in Canada, the United Kingdom, and Australia. It launched in June 2023 and maintains a semi-annual distribution schedule.

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

The SPDR S&P Metals & Mining ETF (XME) is a passively managed fund designed to track the S&P Metals and Mining Select Industry Index. It typically holds 37 to 39 securities representing the metals and mining segment of the S&P Total Market Index, spanning sub-industries including copper, gold, silver, steel, aluminum, and coal. The index uses a modified equal-weighted methodology with quarterly rebalancing to maintain balance and liquidity. The expense ratio is 0.35%. Geographic focus remains on U.S. companies, resulting in broader diversification across market capitalizations compared to concentrated thematic peers. The fund launched in June 2006 and distributes dividends quarterly.

Industry and Thematic Backdrop

The metals and mining sector continues to respond to long-term structural demand drivers such as electrification, renewable energy infrastructure, and data center expansion, which support copper and other industrial metals. Macroeconomic factors including interest rate expectations, global industrial production trends, and supply constraints from major producing regions influence capital flows into mining equities. Regulatory developments around permitting, environmental standards, and trade policies add layers of complexity. Both ETFs operate within this environment, where commodity price cycles and sector rotation between precious and industrial metals can affect relative performance across different market regimes.

Performance and Positioning Comparison

In recent market cycles, ICOP’s concentrated copper focus has aligned it closely with copper price movements and global industrial demand shifts, potentially leading to higher volatility tied to specific commodity trends. XME’s equal-weighted, multi-subsector U.S. approach has provided exposure to a wider range of metals prices and company fundamentals, resulting in different sensitivity to gold, steel, and coal cycles versus pure copper plays. Over broader timeframes, relative positioning has reflected sector rotation patterns, with ICOP exhibiting greater thematic purity and XME demonstrating more balanced participation across the mining value chain. Liquidity profiles differ due to asset size and trading volumes, though both remain accessible for most investors.

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 to compare or monitor funds like ICOP and XME may find the platform useful for ongoing analysis.

Tickeron AI Verdict

Based on observable structural factors, Tickeron’s AI would currently assign a modest probabilistic preference to XME. The lower expense ratio, equal-weighted diversification across multiple sub-sectors, and established track record since 2006 contribute to a more balanced risk profile and cost efficiency. ICOP’s thematic concentration offers distinct advantages for investors with specific copper views, yet XME’s broader positioning and lower fees align with durable characteristics that support relative resilience across varying market conditions.

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
ICOP vs. XME commentary
Sep 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 ICOP is a Hold and XME is a Hold.

Interact to see
Advertisement
SUMMARIES
Loading...
FUNDAMENTALS
Fundamentals
XME has more net assets: 4.87B vs. ICOP (499M). ICOP has a higher annual dividend yield than XME: ICOP (29.989) vs XME (14.636). ICOP was incepted earlier than XME: ICOP (3 years) vs XME (20 years). XME (0.35) has a lower expense ratio than ICOP (0.47). XME has a higher turnover ICOP (24.00) vs ICOP (24.00).
ICOPXMEICOP / XME
Gain YTD29.98914.636205%
Net Assets499M4.87B10%
Total Expense Ratio0.470.35134%
Turnover24.0048.0050%
Yield1.540.32487%
Fund Existence3 years20 years-
TECHNICAL ANALYSIS
Technical Analysis
ICOPXME
RSI
ODDS (%)
Bearish Trend 4 days ago
83%
Bearish Trend 4 days ago
81%
Stochastic
ODDS (%)
Bullish Trend 4 days ago
81%
Bearish Trend 4 days ago
85%
Momentum
ODDS (%)
Bearish Trend 4 days ago
90%
Bearish Trend 4 days ago
84%
MACD
ODDS (%)
Bearish Trend 4 days ago
89%
Bearish Trend 4 days ago
83%
TrendWeek
ODDS (%)
Bearish Trend 4 days ago
81%
Bearish Trend 4 days ago
86%
TrendMonth
ODDS (%)
Bullish Trend 4 days ago
87%
Bullish Trend 4 days ago
90%
Advances
ODDS (%)
Bullish Trend 5 days ago
90%
Bullish Trend 28 days ago
90%
Declines
ODDS (%)
Bearish Trend 7 days ago
84%
Bearish Trend 7 days ago
87%
BollingerBands
ODDS (%)
Bearish Trend 4 days ago
81%
Bearish Trend 4 days ago
90%
Aroon
ODDS (%)
Bullish Trend 4 days ago
88%
Bullish Trend 4 days ago
90%
View a ticker or compare two or three
Interact to see
Advertisement
ICOP
Daily Signal:
Gain/Loss:
XME
Daily Signal:
Gain/Loss:
Interesting Tickers
1D
1W
1M
1Q
6M
1Y
5Y
1 Day
ETFs / NAMEPrice $Chg $Chg %
CHPS83.823.12
+3.87%
Xtrackers Semiconductor Select Eq ETF
SDS54.120.46
+0.86%
ProShares UltraShort S&P500
VIOV118.130.65
+0.55%
Vanguard S&P Small-Cap 600 Value ETF
FEGE53.03-0.32
-0.60%
FIRST EAGLE GLOBAL EQUITY ETF
CCOR26.25-0.24
-0.92%
Core Alternative Capital

ICOP and

Correlation & Price change

A.I.dvisor indicates that over the last year, ICOP has been closely correlated with RIO. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if ICOP jumps, then RIO could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To ICOP
1D Price
Change %
ICOP100%
-0.98%
RIO - ICOP
85%
Closely correlated
+0.42%
MTAL - ICOP
61%
Loosely correlated
N/A
AAL - ICOP
29%
Poorly correlated
+1.23%
TKO - ICOP
15%
Poorly correlated
-1.80%
BHP - ICOP
-1%
Poorly correlated
-0.34%
More

XME and

Correlation & Price change

A.I.dvisor indicates that over the last year, XME has been closely correlated with CDE. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if XME jumps, then CDE could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To XME
1D Price
Change %
XME100%
+0.20%
CDE - XME
77%
Closely correlated
-1.89%
NEM - XME
71%
Closely correlated
-1.79%
MP - XME
71%
Closely correlated
+1.39%
CLF - XME
59%
Loosely correlated
+1.79%
CMP - XME
54%
Loosely correlated
+0.72%
More