Investors interested in clean energy exposure often evaluate ICLN and PBW as complementary yet differentiated options within the same thematic category. These exchange-traded funds do not compete directly but instead provide alternative strategies for accessing companies involved in renewable power generation, energy efficiency, and related technologies. ICLN delivers diversified global coverage, while PBW concentrates on U.S.-listed innovators through an equal-weight framework. Comparing their structures helps clarify positioning relative to broader market cycles, regulatory environments, and capital flows into sustainable energy solutions.
The iShares Global Clean Energy ETF (ICLN) seeks to track the S&P Global Clean Energy Transition Index, which includes global equities engaged in clean energy activities such as solar, wind, and other renewables. The fund employs a passive, rules-based strategy with approximately 105 holdings. Top positions typically include companies such as Bloom Energy Corp (BE), First Solar Inc (FSLR), and NextEra Energy Inc (NEE), reflecting a blend of equipment manufacturers and utility-scale operators. Sector allocations emphasize industrials, utilities, and technology. The expense ratio stands at 0.39%. As an open-end exchange-traded fund, ICLN rebalances according to index methodology, generally on a quarterly basis, and offers international diversification that includes exposure outside the United States.
The Invesco WilderHill Clean Energy ETF (PBW) tracks the WilderHill Clean Energy Index, composed of U.S.-listed companies advancing cleaner energy technologies and conservation. The fund uses a passive, modified equal-weight approach across roughly 68 holdings. This structure results in higher turnover and greater emphasis on smaller-capitalization innovators. Key sectors include technology and industrials, with notable representation in fuel cells, solar, and energy storage. The expense ratio is 0.64%. PBW reconstitutes and rebalances quarterly, maintaining a U.S.-centric focus that differentiates it from globally oriented peers.
The clean energy sector continues to evolve amid shifting policy priorities, technological advancements, and macroeconomic influences. Government incentives, grid modernization efforts, and corporate sustainability commitments serve as primary catalysts. Interest rate expectations and commodity price trends affect capital expenditures for renewable projects. Regulatory developments around emissions standards and permitting processes introduce both opportunities and risks. Supply chain dynamics and competition from traditional energy sources further shape the environment, prompting investors to monitor long-term structural tailwinds alongside periodic volatility driven by earnings cycles and sector rotation.
Over recent market cycles, ICLN and PBW have exhibited varying responses to sector momentum and macroeconomic shifts. ICLN’s global diversification has historically provided a buffer during periods of U.S.-specific policy uncertainty, while PBW’s equal-weight construction can amplify gains from smaller domestic companies during favorable rotations into clean energy themes. Both funds demonstrate sensitivity to interest rate movements and commodity trends, with PBW typically displaying higher volatility due to its concentration and weighting methodology. Relative positioning highlights ICLN’s emphasis on scale and international breadth versus PBW’s focus on innovative U.S. names, influencing how each performs across different phases of the economic and policy cycle.
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 ICLN or PBW may find the platform’s analytical capabilities particularly useful for refining screening criteria and monitoring market conditions.
Based on observable structural factors, Tickeron’s AI would currently assign a higher probability of preference to ICLN. The lower expense ratio, larger number of holdings, and global diversification profile contribute to improved cost efficiency and reduced single-market concentration risk. PBW’s higher fees and U.S.-centric equal-weight approach introduce greater volatility potential and sector-specific exposure. While both ETFs align with clean energy themes, ICLN’s combination of diversification, cost structure, and liquidity characteristics supports a modestly stronger positioning in the current environment.
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| ICLN | PBW | ICLN / PBW | |
| Gain YTD | 29.763 | 33.665 | 88% |
| Net Assets | 3.12B | 583M | 535% |
| Total Expense Ratio | 0.39 | 0.64 | 61% |
| Turnover | 25.00 | 62.00 | 40% |
| Yield | 1.14 | 0.60 | 190% |
| Fund Existence | 18 years | 21 years | - |
| ICLN | PBW | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 84% | 3 days ago 90% |
| Stochastic ODDS (%) | 3 days ago 89% | 3 days ago 90% |
| Momentum ODDS (%) | 3 days ago 87% | 3 days ago 90% |
| MACD ODDS (%) | 3 days ago 88% | 3 days ago 90% |
| TrendWeek ODDS (%) | 3 days ago 88% | 3 days ago 90% |
| TrendMonth ODDS (%) | 3 days ago 88% | 3 days ago 89% |
| Advances ODDS (%) | 10 days ago 88% | 6 days ago 90% |
| Declines ODDS (%) | 20 days ago 87% | 20 days ago 90% |
| BollingerBands ODDS (%) | 3 days ago 83% | 3 days ago 90% |
| Aroon ODDS (%) | 3 days ago 89% | 3 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| DIVZ | 37.61 | 0.22 | +0.58% |
| Polen Dividend Income ETF | |||
| SSFI | 21.33 | -0.10 | -0.45% |
| Day Hagan Smart Sector Fixed Income ETF | |||
| DDWM | 45.62 | -0.91 | -1.95% |
| WisdomTree Dynamic International Eq ETF | |||
| OKTG | 22.17 | -1.92 | -7.95% |
| Leverage Shares 2X Long OKTA Daily ETF | |||
| SMU | 9.92 | -3.26 | -24.73% |
| Tradr 2X Long SMR Daily ETF | |||
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% | -7.71% | ||
| NXT - ICLN | 71% Closely correlated | -12.47% | ||
| BE - ICLN | 69% Closely correlated | -9.53% | ||
| FCEL - ICLN | 68% Closely correlated | -19.02% | ||
| FSLR - ICLN | 63% Loosely correlated | -11.41% | ||
| GEVO - ICLN | 57% Loosely correlated | -8.19% | ||
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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 66% 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% | -10.80% | ||
| ENVX - PBW | 66% Closely correlated | -12.92% | ||
| QS - PBW | 66% Loosely correlated | -15.53% | ||
| SLDP - PBW | 65% Loosely correlated | -11.45% | ||
| BLDP - PBW | 64% Loosely correlated | -18.95% | ||
| AMPX - PBW | 63% Loosely correlated | -12.64% | ||
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