Investors seeking thematic exposure to critical materials and essential resources often evaluate specialized ETFs like COPP and PHO. These funds do not compete directly but instead deliver alternative strategies within the broader natural resources sector. COPP targets copper supply-chain participants amid rising demand from electrification and renewable energy, while PHO focuses on water management solutions supporting sustainable infrastructure. Comparing their structures, costs, and positioning helps clarify how each aligns with different macroeconomic drivers such as commodity trends and regulatory priorities in resource efficiency.
The Sprott Copper Miners ETF (COPP) is a passively managed fund that seeks to track the total return performance of the Nasdaq Sprott Copper Miners Index before fees and expenses. The index selects global securities with significant revenue from copper production, development, exploration, and physical copper holdings. COPP holds approximately 30 to 50 constituents and includes an allocation to physical copper added in 2025. Top holdings typically feature major producers such as Freeport-McMoRan Inc. The fund maintains a management fee of 0.65% and total expense ratio of 0.66%. It rebalances semi-annually and trades on Nasdaq as an open-end structure focused on pure-play copper exposure.
The Invesco Water Resources ETF (PHO) is a passively managed fund designed to track the NASDAQ OMX U.S. Water Index before fees and expenses. The index comprises U.S. exchange-listed companies that develop products for water conservation, purification, and infrastructure. PHO typically holds around 30 to 40 securities weighted by liquidity with caps on individual positions. Prominent holdings often include firms such as Waters Corp and Ecolab Inc., spanning industrials and utilities. The ETF carries an expense ratio of 0.59% and reconstitutes annually with quarterly rebalancing. Launched in 2005, it operates as an open-end fund on Nasdaq emphasizing water resource themes.
Both ETFs operate within natural resources themes shaped by global sustainability and infrastructure needs. Copper demand benefits from energy transition initiatives, data center expansion, and electric vehicle adoption, creating structural supply pressures. Water resources face steady demand driven by population growth, regulatory standards for conservation, and industrial efficiency requirements. Macroeconomic factors including interest rate environments, government spending on green infrastructure, and commodity price fluctuations influence capital allocation across these sectors. Regulatory developments around mining permits and water quality standards add layers of risk and opportunity without altering the core structural characteristics of either fund.
In recent market cycles, COPP has exhibited higher volatility tied to copper price movements and mining earnings, reflecting its concentrated commodity exposure. PHO has shown more stable characteristics linked to consistent infrastructure spending and defensive water demand patterns. Relative positioning favors COPP during periods of strong commodity momentum and PHO amid broader economic stability or rate-sensitive infrastructure rotations. Both ETFs respond to sector-specific catalysts rather than short-term price fluctuations, with COPP more sensitive to geopolitical supply risks and PHO to steady capital expenditures in utilities and industrials.
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 thematic ETFs like COPP and PHO may benefit from exploring this platform.
Tickeron’s AI would likely favor PHO over COPP in the current environment due to its lower expense ratio, established diversification across water infrastructure holdings, and more consistent positioning within defensive sectors. COPP offers compelling thematic exposure to copper but carries higher costs and greater concentration risk. Probabilistic assessment based on structural efficiency, cost profile, and relative sector momentum suggests PHO provides a marginally stronger risk-adjusted framework for thematic allocation at this time.
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| COPP | PHO | COPP / PHO | |
| Gain YTD | 23.183 | -2.393 | -969% |
| Net Assets | 289M | 1.91B | 15% |
| Total Expense Ratio | 0.66 | 0.59 | 112% |
| Turnover | 29.00 | 34.00 | 85% |
| Yield | 1.83 | 0.57 | 323% |
| Fund Existence | 3 years | 21 years | - |
| COPP | PHO | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 78% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 83% |
| Momentum ODDS (%) | 2 days ago 88% | 2 days ago 74% |
| MACD ODDS (%) | 2 days ago 86% | 2 days ago 72% |
| TrendWeek ODDS (%) | 2 days ago 85% | 2 days ago 81% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 78% |
| Advances ODDS (%) | 4 days ago 90% | 10 days ago 82% |
| Declines ODDS (%) | 12 days ago 86% | 3 days ago 80% |
| BollingerBands ODDS (%) | 2 days ago 86% | 2 days ago 87% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 83% |
A.I.dvisor indicates that over the last year, COPP has been loosely correlated with MTAL. These tickers have moved in lockstep 60% of the time. This A.I.-generated data suggests there is some statistical probability that if COPP jumps, then MTAL could also see price increases.
| Ticker / NAME | Correlation To COPP | 1D Price Change % | ||
|---|---|---|---|---|
| COPP | 100% | +0.19% | ||
| MTAL - COPP | 60% Loosely correlated | N/A | ||
| RPC - COPP | 46% Loosely correlated | +2.66% | ||
| CVV - COPP | 32% Poorly correlated | -25.36% | ||
| SLS - COPP | 25% Poorly correlated | -14.42% | ||
| III - COPP | 11% Poorly correlated | +2.37% | ||
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A.I.dvisor indicates that over the last year, PHO has been closely correlated with XYL. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if PHO jumps, then XYL could also see price increases.
| Ticker / NAME | Correlation To PHO | 1D Price Change % | ||
|---|---|---|---|---|
| PHO | 100% | +0.62% | ||
| XYL - PHO | 70% Closely correlated | +0.38% | ||
| FELE - PHO | 62% Loosely correlated | +0.71% | ||
| ITRI - PHO | 48% Loosely correlated | N/A | ||
| TTEK - PHO | 43% Loosely correlated | +2.18% | ||
| ROP - PHO | 39% Loosely correlated | -0.02% | ||
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