Investors seeking exposure to critical materials for the energy transition often evaluate thematic ETFs that capture different segments of the supply chain. Amplify Lithium & Battery Technology ETF (BATT) and iShares Copper and Metals Mining ETF (ICOP) do not compete directly but offer complementary approaches within the broader battery metals and mining universe. BATT targets companies involved in lithium battery development, production, and use, while ICOP concentrates on copper and metal ore mining. Comparing these funds helps investors understand how upstream extraction versus downstream technology exposure influences diversification, cost, and positioning amid ongoing demand for electrification and infrastructure metals.
Amplify Lithium & Battery Technology ETF (BATT) seeks to track the EQM Lithium & Battery Technology Index. The fund is passively managed and non-diversified, investing at least 80% of assets in index constituents. It holds approximately 55 securities with a global reach across developed and emerging markets. Top holdings typically include Contemporary Amperex Technology Co Ltd, BHP Group Ltd (BHP), Tesla Inc (TSLA), BYD Co Ltd, and Freeport-McMoRan Inc (FCX). Sector exposure centers on materials, industrials, and consumer discretionary tied to battery metals and electric vehicles. The expense ratio stands at 0.59%. The index applies revenue thresholds requiring significant exposure to lithium battery technology and caps automobile sector weights, resulting in a thematic strategy that blends mining, materials processing, and battery manufacturing.
iShares Copper and Metals Mining ETF (ICOP) tracks the STOXX Global Copper and Metals Mining Index. This passively managed fund holds approximately 46 to 52 securities selected for significant revenue from copper ore mining and related metals extraction. Holdings feature a global mix with emphasis on large-cap producers. Representative top positions include Grupo Mexico S.A.B. de C.V., Freeport-McMoRan Inc (FCX), BHP Group Ltd (BHP), Anglo American PLC, and Evolution Mining Ltd. Sector allocation is heavily weighted toward materials, particularly industrial metals. The expense ratio is 0.47%. The index employs a quantitative screening process focused on companies deriving the majority of revenue from copper and metals mining, creating a concentrated upstream exposure profile without downstream technology or manufacturing components.
The copper and battery metals sector continues to benefit from structural demand tied to electric vehicle adoption, renewable energy infrastructure, and data center expansion. Copper serves as a foundational input for electrification, while lithium and related materials support energy storage. Capital flows into mining and battery supply chains reflect long-term policy support for domestic production and supply security in major economies. Key risks include commodity price volatility, regulatory changes affecting mining permits, geopolitical tensions in key producing regions, and potential slowdowns in electric vehicle sales growth. Both ETFs operate within this environment, with ICOP more directly tied to raw material prices and BATT additionally influenced by technology adoption rates and battery supply chain dynamics.
In recent market cycles, ICOP has exhibited greater sensitivity to copper price movements and mining sector rotations driven by macroeconomic factors such as interest rate expectations and industrial demand. BATT has shown performance influenced by both commodity trends and electric vehicle market developments, resulting in distinct volatility patterns. Relative positioning highlights ICOP’s upstream focus providing leverage to metal price rallies, whereas BATT offers exposure that incorporates battery technology innovation and manufacturing scale. During periods of sector rotation toward materials, the funds’ differing holdings and index rules have led to varying responses to earnings cycles and geopolitical developments affecting supply chains. Investors evaluating relative positioning note ICOP’s lower expense ratio and concentrated mining exposure alongside BATT’s broader thematic reach into battery applications.
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 interested in comparing ETFs like BATT and ICOP can leverage these capabilities to refine their research process.
Tickeron’s AI would currently assign a modest probabilistic edge to iShares Copper and Metals Mining ETF (ICOP) based on its lower expense ratio, concentrated exposure to copper mining amid sustained industrial demand, and streamlined index methodology. Amplify Lithium & Battery Technology ETF (BATT) offers valuable downstream diversification but carries a higher cost structure and broader exposure that may introduce additional volatility from technology and automotive cycles. The assessment rests on observable factors including cost efficiency, thematic alignment with commodity momentum, and diversification profile rather than short-term price movements.
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.
| BATT | ICOP | BATT / ICOP | |
| Gain YTD | 12.576 | 29.989 | 42% |
| Net Assets | 123M | 499M | 25% |
| Total Expense Ratio | 0.59 | 0.47 | 126% |
| Turnover | 73.00 | 24.00 | 304% |
| Yield | 1.61 | 1.54 | 105% |
| Fund Existence | 8 years | 3 years | - |
| BATT | ICOP | |
|---|---|---|
| RSI ODDS (%) | N/A | 4 days ago 83% |
| Stochastic ODDS (%) | 4 days ago 80% | 4 days ago 81% |
| Momentum ODDS (%) | 4 days ago 89% | 4 days ago 90% |
| MACD ODDS (%) | 4 days ago 84% | 4 days ago 89% |
| TrendWeek ODDS (%) | 4 days ago 88% | 4 days ago 81% |
| TrendMonth ODDS (%) | 4 days ago 85% | 4 days ago 87% |
| Advances ODDS (%) | 14 days ago 88% | 5 days ago 90% |
| Declines ODDS (%) | 6 days ago 88% | 7 days ago 84% |
| BollingerBands ODDS (%) | 4 days ago 83% | 4 days ago 81% |
| Aroon ODDS (%) | 4 days ago 87% | 4 days ago 88% |
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| MFs / NAME | Price $ | Chg $ | Chg % |
| PSYGX | 97.09 | 0.59 | +0.61% |
| Putnam Small Cap Growth Y | |||
| CLGRX | 83.48 | -0.04 | -0.05% |
| Calvert US Large Cap Growth Rspnb Idx R6 | |||
| SGZFX | 68.74 | -0.06 | -0.09% |
| Saturna Growth Z | |||
| COFYX | 45.15 | -0.16 | -0.35% |
| Columbia Contrarian Core Inst3 | |||
| PHRIX | 20.41 | -0.13 | -0.63% |
| Virtus Duff & Phelps Real Estate Secs I | |||
A.I.dvisor indicates that over the last year, BATT has been closely correlated with BHP. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if BATT jumps, then BHP could also see price increases.
| Ticker / NAME | Correlation To BATT | 1D Price Change % | ||
|---|---|---|---|---|
| BATT | 100% | -1.05% | ||
| BHP - BATT | 79% Closely correlated | -0.34% | ||
| ALB - BATT | 59% Loosely correlated | -4.45% | ||
| SQM - BATT | 58% Loosely correlated | -4.20% | ||
| NIU - BATT | 57% Loosely correlated | -2.01% | ||
| ENS - BATT | 56% Loosely correlated | +1.07% | ||
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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.
| Ticker / NAME | Correlation To ICOP | 1D Price Change % | ||
|---|---|---|---|---|
| ICOP | 100% | -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% | ||
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