PBW, QCLN, and XT represent distinct approaches to thematic investing in clean energy and emerging technologies. PBW and QCLN compete directly within the clean energy sector by tracking specialized indexes of companies involved in renewable power, energy storage, and related technologies. XT diverges by pursuing a wider mandate centered on exponential technologies that span information technology, healthcare, and industrials. These structural variations create tiered risk exposures and strategic options for investors evaluating sector exposure, diversification depth, and cost efficiency in the current market environment.
The Invesco WilderHill Clean Energy ETF (PBW) tracks the WilderHill Clean Energy Index, which selects U.S.-listed companies engaged in clean energy activities such as renewable electricity generation, energy storage, and power delivery. The fund holds approximately 69 securities and employs a modified equal-weight methodology with quarterly rebalancing and reconstitution. Sector allocation emphasizes industrials, information technology, and materials. The expense ratio stands at 0.64%. Distinguishing features include its thematic purity within clean energy and focus on innovation-driven companies rather than broad market capitalization weighting.
The First Trust NASDAQ Clean Edge Green Energy Index Fund (QCLN) tracks the NASDAQ Clean Edge Green Energy Index, comprising U.S.-listed firms that manufacture, develop, distribute, or install clean energy technologies including solar, wind, advanced batteries, and electric vehicles. The fund typically holds about 53 securities with a market-capitalization weighting approach. Top holdings often include companies in semiconductors and renewable equipment. Sector allocation leans heavily toward technology and industrials. The expense ratio is 0.59%. Key features encompass its concentrated exposure to green energy subsectors and rules-based selection of companies advancing clean technology adoption.
The iShares Future Exponential Technologies ETF (XT) tracks an index of global companies that produce or utilize exponential technologies with potential to disrupt existing markets, spanning artificial intelligence, robotics, biotechnology, and advanced materials. The fund holds approximately 200 securities with market-capitalization weighting and annual or as-needed rebalancing. Sector allocation features significant weight in information technology and healthcare. The expense ratio is 0.46%. Distinguishing characteristics include its global reach across developed and emerging markets and broader thematic scope beyond pure clean energy.
The clean energy and exponential technology sectors operate amid shifting capital flows driven by policy incentives, technological advancements, and macroeconomic factors including interest rates and supply chain dynamics. Regulatory support for renewables and decarbonization continues to influence investment in solar, wind, and battery storage. Geopolitical considerations around energy security and critical minerals add complexity. Earnings trends among major holdings reflect demand for semiconductors, electric vehicles, and data infrastructure. Broader risks encompass commodity price volatility, evolving subsidy frameworks, and competition from traditional energy sources. These external drivers affect capital allocation across thematic ETFs without regard to individual fund structures.
In recent market cycles, structural differences have contributed to varying behavior among the three ETFs. PBW and QCLN have displayed higher sensitivity to clean energy policy announcements and commodity price movements due to their concentrated mandates. XT has shown relatively smoother trends owing to its diversified holdings across multiple exponential technology themes and global footprint. Concentration risk remains elevated in QCLN given fewer holdings, while PBW offers moderate breadth within its clean energy focus. XT's lower expense ratio and wider diversification support more stable positioning during periods of sector rotation. Performance differentials arise primarily from exposure profiles rather than short-term market events.
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.
Tickeron’s AI would currently favor the iShares Future Exponential Technologies ETF (XT) with moderate probability based on its structural advantages, including the lowest expense ratio among the three, broadest diversification across approximately 200 holdings, and global exposure to multiple exponential technology themes. These attributes support superior risk-adjusted positioning relative to the more concentrated clean energy mandates of PBW and QCLN.
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.
| PBW | QCLN | XT | |
| Gain YTD | 28.650 | 34.885 | 15.343 |
| Net Assets | 586M | 849M | 3.88B |
| Total Expense Ratio | 0.64 | 0.59 | 0.46 |
| Turnover | 62.00 | 23.00 | 43.00 |
| Yield | 0.60 | 0.15 | 0.79 |
| Fund Existence | 21 years | 19 years | 11 years |
| PBW | QCLN | XT | |
|---|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 90% | 2 days ago 77% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% | 2 days ago 88% |
| Momentum ODDS (%) | 2 days ago 90% | 2 days ago 88% | 2 days ago 79% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 90% | 2 days ago 73% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 90% | 2 days ago 81% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 89% | 2 days ago 82% |
| Advances ODDS (%) | 9 days ago 90% | 16 days ago 90% | 13 days ago 83% |
| Declines ODDS (%) | 23 days ago 90% | 6 days ago 90% | 23 days ago 78% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 84% | 2 days ago 75% |
| Aroon ODDS (%) | 2 days ago 88% | 2 days ago 90% | 2 days ago 84% |
A.I.dvisor indicates that over the last year, PBW has been closely correlated with ENVX. These tickers have moved in lockstep 67% 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% | -4.10% | ||
| ENVX - PBW | 67% Closely correlated | -7.79% | ||
| BLDP - PBW | 67% Closely correlated | -8.24% | ||
| QS - PBW | 66% Loosely correlated | -4.44% | ||
| ACHR - PBW | 65% Loosely correlated | -7.16% | ||
| SLDP - PBW | 65% Loosely correlated | -5.58% | ||
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A.I.dvisor indicates that over the last year, QCLN has been closely correlated with BE. These tickers have moved in lockstep 66% of the time. This A.I.-generated data suggests there is a high statistical probability that if QCLN jumps, then BE could also see price increases.
| Ticker / NAME | Correlation To QCLN | 1D Price Change % | ||
|---|---|---|---|---|
| QCLN | 100% | -2.26% | ||
| BE - QCLN | 66% Closely correlated | +2.38% | ||
| AEIS - QCLN | 66% Closely correlated | +1.81% | ||
| ENS - QCLN | 66% Loosely correlated | -0.82% | ||
| ON - QCLN | 64% Loosely correlated | -3.23% | ||
| ALGM - QCLN | 64% Loosely correlated | -3.24% | ||
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