ERTH, ICLN, and PBW represent distinct approaches to clean energy investing within the broader environmental solutions theme. While all three ETFs provide exposure to companies advancing renewable power, energy efficiency, and sustainable technologies, they track different indexes with unique selection criteria and geographic tilts. Investors comparing these funds evaluate trade-offs between diversification depth, cost, and thematic purity. The comparison highlights how each fund positions itself for long-term shifts toward decarbonization without relying on short-term market fluctuations.
The Invesco MSCI Sustainable Future ETF (ERTH) seeks to track the MSCI Global Environment Select Index. This passive strategy selects companies demonstrating strong environmental performance across global markets. The fund typically holds approximately 160 securities, with top positions often including technology and industrial firms such as NVIDIA (NVDA), Tesla (TSLA), and Digital Realty Trust (DLR). Sector allocations emphasize technology, industrials, and utilities. ERTH maintains a net expense ratio of 0.66% and rebalances quarterly. Its distinguishing feature is a broader sustainable future mandate that incorporates data center infrastructure and resource efficiency alongside traditional clean energy.
The iShares Global Clean Energy ETF (ICLN) tracks an index of global companies involved in clean energy production and equipment. This passive fund holds roughly 100 to 130 securities, with notable concentrations in solar and wind equipment providers. Top holdings frequently feature firms such as Bloom Energy (BE) and First Solar (FSLR). Allocations lean heavily toward industrials and technology sectors with international exposure. ICLN carries an expense ratio of 0.39%, making it the lowest-cost option among the three. Quarterly rebalancing supports alignment with the underlying index of global clean energy equities.
The Invesco WilderHill Clean Energy ETF (PBW) follows the WilderHill Clean Energy Index, focusing on companies advancing clean energy technologies. This passive approach results in approximately 70 holdings, emphasizing innovative U.S. firms in areas such as fuel cells, energy storage, and advanced materials. Top holdings often include smaller-capitalization names like FuelCell Energy (FCEL) and Bloom Energy (BE). Sector exposure centers on industrials and technology with limited international diversification. PBW maintains an expense ratio of 0.64% and undergoes quarterly rebalancing and reconstitution.
The clean energy sector encompasses renewable power generation, energy storage, efficiency technologies, and related equipment manufacturing. Macroeconomic drivers include government policy support for decarbonization, technological advancements in solar and battery systems, and corporate sustainability commitments. Capital flows into the theme respond to regulatory incentives, interest rate environments, and supply chain developments for critical minerals. Geopolitical factors influence equipment sourcing and project financing. Earnings trends among major holdings often reflect order backlogs for renewable installations and adoption rates of new technologies. Sector risks include policy uncertainty, commodity price volatility, and competition from traditional energy sources.
In recent market cycles, structural differences have produced varied performance patterns among the three ETFs. ERTH’s broader holdings and inclusion of efficiency-focused companies have contributed to relatively stable exposure during periods of technology sector strength. ICLN’s global clean energy focus has aligned closely with international policy developments and equipment demand cycles. PBW’s concentration in smaller, innovation-driven firms has led to higher volatility and sharper drawdowns during risk-off environments but potential for amplified gains when clean energy themes accelerate. Differences in concentration and geographic reach explain relative sensitivities to macroeconomic factors such as interest rates and supply chain disruptions.
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 on thematic ETFs can leverage this platform for deeper analysis.
Based on observable structural characteristics, Tickeron’s AI would likely assign a modest preference to ICLN due to its lowest expense ratio, solid global diversification across clean energy subsectors, and balanced holdings profile. ERTH offers compelling breadth for investors prioritizing sustainability integration, while PBW’s concentrated approach suits those seeking higher-risk, innovation-focused exposure. Selection ultimately depends on individual risk tolerance and allocation goals within a diversified portfolio.
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| ERTH | ICLN | PBW | |
| Gain YTD | 2.986 | 26.232 | 30.157 |
| Net Assets | 138M | 2.9B | 533M |
| Total Expense Ratio | 0.66 | 0.39 | 0.64 |
| Turnover | 31.00 | 25.00 | 62.00 |
| Yield | 1.37 | 1.14 | 0.60 |
| Fund Existence | 20 years | 18 years | 21 years |
| ERTH | ICLN | PBW | |
|---|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 1 day ago 88% | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 80% | 1 day ago 89% | 1 day ago 90% |
| Momentum ODDS (%) | 1 day ago 86% | 1 day ago 84% | 1 day ago 89% |
| MACD ODDS (%) | 1 day ago 86% | 1 day ago 84% | 1 day ago 89% |
| TrendWeek ODDS (%) | 1 day ago 86% | 1 day ago 88% | 1 day ago 90% |
| TrendMonth ODDS (%) | 1 day ago 87% | 1 day ago 90% | 1 day ago 90% |
| Advances ODDS (%) | 15 days ago 84% | 15 days ago 88% | 11 days ago 90% |
| Declines ODDS (%) | 3 days ago 87% | 3 days ago 88% | 3 days ago 90% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 82% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 80% | 1 day ago 88% | 1 day ago 86% |
A.I.dvisor indicates that over the last year, ERTH has been loosely correlated with NXT. These tickers have moved in lockstep 60% of the time. This A.I.-generated data suggests there is some statistical probability that if ERTH jumps, then NXT could also see price increases.
| Ticker / NAME | Correlation To ERTH | 1D Price Change % | ||
|---|---|---|---|---|
| ERTH | 100% | +2.02% | ||
| NXT - ERTH | 60% Loosely correlated | +6.90% | ||
| XPEV - ERTH | 50% Loosely correlated | -2.69% | ||
| NIU - ERTH | 49% Loosely correlated | +2.88% | ||
| NVDA - ERTH | 49% Loosely correlated | +2.22% | ||
| CHPT - ERTH | 47% Loosely correlated | +2.81% | ||
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A.I.dvisor indicates that over the last year, ICLN has been closely correlated with NXT. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if ICLN jumps, then NXT could also see price increases.
| Ticker / NAME | Correlation To ICLN | 1D Price Change % | ||
|---|---|---|---|---|
| ICLN | 100% | +4.43% | ||
| NXT - ICLN | 71% Closely correlated | +6.90% | ||
| BE - ICLN | 70% Closely correlated | +6.25% | ||
| FCEL - ICLN | 68% Closely correlated | +9.01% | ||
| FSLR - ICLN | 64% Loosely correlated | +8.79% | ||
| BLDP - ICLN | 58% Loosely correlated | -4.00% | ||
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A.I.dvisor indicates that over the last year, PBW has been closely correlated with ENVX. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if PBW jumps, then ENVX could also see price increases.
| Ticker / NAME | Correlation To PBW | 1D Price Change % | ||
|---|---|---|---|---|
| PBW | 100% | +5.47% | ||
| ENVX - PBW | 68% Closely correlated | +6.69% | ||
| BLDP - PBW | 68% Closely correlated | -4.00% | ||
| QS - PBW | 66% Loosely correlated | +3.29% | ||
| ACHR - PBW | 65% Loosely correlated | +4.95% | ||
| SLDP - PBW | 65% Loosely correlated | +2.17% | ||
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