These three ETFs compete in the clean energy thematic space, providing investors with targeted exposure to companies involved in renewable power generation, energy storage, and related technologies. While they share a common focus on sustainable energy solutions, they differ in geographic scope, index construction, and sector emphasis. ACES emphasizes North American issuers, ICLN delivers global diversification, and QCLN concentrates on U.S.-listed firms with added technology components. This comparison helps clarify how each fund's design influences diversification, costs, and sensitivity to regional policy and supply-chain dynamics in the evolving clean energy landscape.
The ALPS Clean Energy ETF (ACES) seeks to track the CIBC Atlas Clean Energy Index, a market-cap-weighted benchmark of U.S. and Canadian companies engaged in clean energy production and enabling technologies. The fund holds approximately 39 securities and maintains a passive structure with annual rebalancing aligned to index constituents. Top holdings typically include ENPH, PLUG, FSLR, NXT, and ORA, representing a concentrated allocation often exceeding 50% in the top 10 positions. Sector exposure centers on utilities, technology, and industrials. The expense ratio stands at 0.55%. Distinguishing features include its regional North American mandate and emphasis on pure-play clean energy firms without significant international diversification.
The iShares Global Clean Energy ETF (ICLN) tracks the S&P Global Clean Energy Index, providing exposure to a broad universe of global equities involved in clean energy activities. It maintains around 106 holdings in a passive, market-cap-weighted framework with periodic rebalancing. Prominent positions often feature BE, FSLR, NXT, ENPH, and international names such as China Yangtze Power. Sector allocations span industrials, technology, and utilities across multiple regions. The expense ratio is 0.39%, the lowest among the group. Key characteristics include extensive global reach, higher holding count for improved diversification, and inclusion of both developed and select emerging market issuers.
The First Trust NASDAQ Clean Edge Green Energy Index Fund (QCLN) follows the NASDAQ Clean Edge Green Energy Index, targeting U.S.-listed companies active in renewable electricity generation, energy storage, and advanced materials. The fund contains roughly 53 holdings under a passive, market-cap-weighted methodology with regular index-driven rebalancing. Leading positions frequently comprise BE, ON, MPWR, FSLR, and TSLA, resulting in top-10 concentration near 60%. Sector breakdown highlights technology and industrials with notable semiconductor influence. The expense ratio is 0.59%. Distinctive elements encompass its U.S.-only focus combined with explicit inclusion of energy intelligence and storage sub-sectors.
The clean energy sector encompasses renewable power sources such as solar, wind, and geothermal alongside enabling technologies including battery storage and smart grid solutions. Macro drivers include government incentives, grid modernization efforts, and corporate sustainability commitments, which influence capital allocation across equipment manufacturers and project developers. Regulatory developments around carbon reduction targets and supply chain localization affect input costs and project viability. Earnings trends among major holdings reflect demand for solar modules and fuel cells, tempered by commodity price volatility and competition from traditional energy sources. Geopolitical factors, such as trade policies on imported components, introduce variability in manufacturing margins and deployment timelines across the theme.
In recent market cycles, structural differences have produced varying sensitivity to interest rate movements and commodity fluctuations. ICLN’s global holdings have historically moderated volatility through exposure to diverse regulatory environments compared with the more concentrated U.S. and North American mandates of QCLN and ACES. QCLN’s technology tilt, particularly semiconductors, has amplified responsiveness to chip-cycle dynamics, while ACES has shown tighter linkage to North American project pipelines. Drawdowns during periods of rising rates have tended to affect higher-beta holdings across all three funds, with concentration levels influencing the magnitude of sector-specific corrections. Relative positioning reflects trade-offs between ICLN’s breadth and the thematic purity or tech-enhanced exposure offered by the other two funds.
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Based on observable structural attributes, Tickeron’s AI would currently assign the highest probabilistic favorability to iShares Global Clean Energy ETF (ICLN) owing to its lowest expense ratio, broadest holding count for enhanced diversification, and global exposure that mitigates single-market concentration. ACES and QCLN present compelling alternatives for investors prioritizing North American or technology-augmented tilts, respectively, though their higher costs and narrower geographic footprints introduce comparatively elevated risk-adjusted considerations in a diversified clean energy allocation.
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| ACES | ICLN | QCLN | |
| Gain YTD | 8.081 | 24.985 | 35.737 |
| Net Assets | 129M | 3B | 839M |
| Total Expense Ratio | 0.55 | 0.39 | 0.59 |
| Turnover | 39.00 | 25.00 | 23.00 |
| Yield | 0.54 | 1.14 | 0.15 |
| Fund Existence | 8 years | 18 years | 19 years |
| ACES | ICLN | QCLN | |
|---|---|---|---|
| RSI ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 88% | 1 day ago 89% | 1 day ago 90% |
| Momentum ODDS (%) | 1 day ago 90% | 1 day ago 85% | 1 day ago 90% |
| MACD ODDS (%) | 1 day ago 88% | 1 day ago 84% | 1 day ago 81% |
| TrendWeek ODDS (%) | 1 day ago 90% | 1 day ago 88% | 1 day ago 90% |
| TrendMonth ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 90% |
| Advances ODDS (%) | 3 days ago 85% | 3 days ago 88% | 3 days ago 90% |
| Declines ODDS (%) | 1 day ago 90% | 1 day ago 88% | 1 day ago 90% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 89% | 1 day ago 90% |
| 1 Day | |||
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A.I.dvisor indicates that over the last year, ACES has been closely correlated with NXT. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if ACES jumps, then NXT could also see price increases.
| Ticker / NAME | Correlation To ACES | 1D Price Change % | ||
|---|---|---|---|---|
| ACES | 100% | -1.10% | ||
| NXT - ACES | 68% Closely correlated | -3.29% | ||
| ENPH - ACES | 65% Loosely correlated | +1.27% | ||
| BLDP - ACES | 62% Loosely correlated | -11.63% | ||
| RUN - ACES | 62% Loosely correlated | +12.57% | ||
| FSLR - ACES | 61% Loosely correlated | -0.35% | ||
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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 73% 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% | -0.92% | ||
| NXT - ICLN | 73% Closely correlated | -3.29% | ||
| BE - ICLN | 69% Closely correlated | +1.31% | ||
| FCEL - ICLN | 68% Closely correlated | -1.19% | ||
| FSLR - ICLN | 65% Loosely correlated | -0.35% | ||
| SEDG - ICLN | 59% Loosely correlated | -5.00% | ||
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