GRID and ICLN represent two distinct approaches to clean energy and infrastructure investing. GRID targets smart grid and electrical infrastructure companies, while ICLN focuses on global clean energy generation and equipment. They do not compete directly but serve as complementary or alternative exposures within the broader clean energy and power transition theme. Investors evaluating these funds often seek to balance infrastructure modernization with renewable generation opportunities amid shifting energy policies and capital allocation trends.
GRID is a passively managed exchange-traded fund that seeks to track the performance of the NASDAQ OMX Clean Edge Smart Grid Infrastructure Index. The index includes global companies primarily engaged in electric grid infrastructure, energy storage, management systems, and related equipment. The fund holds approximately 122 to 136 securities and maintains an expense ratio of 0.56%. Sector allocations are dominated by industrials (around 65%), followed by utilities (approximately 20%) and technology (about 11%). Top holdings typically include ABB, ETN, JCI, Schneider Electric, and National Grid. The strategy employs a modified market-capitalization weighting methodology with periodic rebalancing to maintain alignment with the underlying index.
ICLN is a passively managed exchange-traded fund that seeks to track the S&P Global Clean Energy Index. The index comprises global companies involved in clean energy production, equipment manufacturing, and related services. The fund holds approximately 100 to 134 securities and carries an expense ratio of 0.39%. Sector allocations generally feature electronic technology and semiconductors (around 45%), utilities (approximately 32%), and producer manufacturing or industrials (about 21%). Prominent holdings often include Bloom Energy, First Solar, NextEra Energy affiliates, Enphase Energy, and international renewable operators. The fund uses a market-capitalization weighting approach with regular index-driven rebalancing.
The clean energy and power infrastructure sectors operate within a dynamic environment shaped by global decarbonization efforts, grid modernization needs, and evolving regulatory frameworks. Capital flows continue toward renewable generation and transmission upgrades, supported by policy incentives in major markets. Macroeconomic drivers include interest rate trajectories, commodity price fluctuations affecting equipment costs, and geopolitical developments influencing supply chains for critical minerals and components. Sector risks encompass policy shifts, technological disruption, and integration challenges for intermittent renewable sources. Both ETFs provide exposure to these themes through equity markets, with performance influenced by earnings growth in infrastructure and clean energy companies.
In recent market cycles, GRID has demonstrated sensitivity to industrial and utility sector rotations, benefiting from sustained demand for electrical equipment and grid enhancements. ICLN has shown greater responsiveness to clean energy generation trends, including solar and wind project developments. Relative positioning highlights GRID’s tilt toward established industrial leaders in grid technology, which may exhibit different volatility patterns compared to ICLN’s exposure to more specialized renewable equipment manufacturers. Both funds have navigated broader interest rate expectations and commodity trends, with performance differentials arising from their distinct holdings and sector weightings rather than short-term price fluctuations.
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Based on observable structural characteristics, Tickeron’s AI would currently assign a modest preference to ICLN due to its lower expense ratio, broader diversification across clean energy sub-sectors, and alignment with prevailing renewable generation momentum. GRID remains a compelling option for investors prioritizing smart grid infrastructure exposure and industrial equipment leadership. The assessment reflects probabilistic evaluation of cost efficiency, thematic consistency, and risk-adjusted positioning rather than a definitive recommendation.
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| GRID | ICLN | GRID / ICLN | |
| Gain YTD | 23.031 | 24.985 | 92% |
| Net Assets | 11.6B | 3B | 387% |
| Total Expense Ratio | 0.56 | 0.39 | 144% |
| Turnover | 26.00 | 25.00 | 104% |
| Yield | 0.78 | 1.14 | 69% |
| Fund Existence | 17 years | 18 years | - |
| GRID | ICLN | |
|---|---|---|
| RSI ODDS (%) | N/A | 1 day ago 90% |
| Stochastic ODDS (%) | 1 day ago 81% | 1 day ago 89% |
| Momentum ODDS (%) | 1 day ago 84% | 1 day ago 85% |
| MACD ODDS (%) | 1 day ago 87% | 1 day ago 84% |
| TrendWeek ODDS (%) | 1 day ago 83% | 1 day ago 88% |
| TrendMonth ODDS (%) | 1 day ago 81% | 1 day ago 90% |
| Advances ODDS (%) | 3 days ago 86% | 3 days ago 88% |
| Declines ODDS (%) | 1 day ago 82% | 1 day ago 88% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 72% | 1 day ago 89% |
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A.I.dvisor indicates that over the last year, GRID has been closely correlated with ETN. These tickers have moved in lockstep 79% of the time. This A.I.-generated data suggests there is a high statistical probability that if GRID jumps, then ETN could also see price increases.
| Ticker / NAME | Correlation To GRID | 1D Price Change % | ||
|---|---|---|---|---|
| GRID | 100% | -0.30% | ||
| ETN - GRID | 79% Closely correlated | -0.17% | ||
| NVT - GRID | 69% Closely correlated | -0.49% | ||
| AEIS - GRID | 68% Closely correlated | -1.49% | ||
| PWR - GRID | 67% Closely correlated | -0.06% | ||
| JCI - GRID | 66% Loosely correlated | +1.08% | ||
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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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