ICLN
Price
$19.50
Change
-$0.79 (-3.89%)
Updated
Jun 26 closing price
Net Assets
2.94B
Intraday BUY SELL Signals
PBW
Price
$36.85
Change
-$0.62 (-1.65%)
Updated
Jun 26 closing price
Net Assets
495.14M
Intraday BUY SELL Signals
TAN
Price
$56.85
Change
-$1.02 (-1.76%)
Updated
Jun 26 closing price
Net Assets
1.71B
Intraday BUY SELL Signals
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ICLN or PBW or TAN

ICLN vs PBW vs TAN Comparison Chart in %
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Which ETF would AI Choose? iShares Global Clean Energy ETF (ICLN) vs. Invesco WilderHill Clean Energy ETF (PBW) vs. Invesco Solar ETF (TAN)

Key Takeaways

  • ICLN provides the broadest global exposure to clean energy equities through a passive index-tracking approach with the lowest expense ratio among the three at 0.39%.
  • PBW tracks a specialized clean energy index with quarterly rebalancing and a higher expense ratio of 0.64%, emphasizing innovation in renewable technologies and energy efficiency.
  • TAN offers the most concentrated thematic exposure, limited to solar energy companies via the MAC Global Solar Energy Index, resulting in higher concentration risk and an expense ratio of 0.70%.
  • Structural differences in geographic reach, sub-sector focus, and holding counts create varying levels of diversification and sensitivity to regional policy changes or technology-specific developments.
  • ICLN generally delivers greater liquidity and cost efficiency for broad clean energy allocation, while PBW and TAN suit investors seeking narrower bets on clean technology or solar power.
  • All three ETFs are passively managed, rebalanced periodically, and positioned within the clean energy theme but differ in risk-adjusted profiles due to concentration and geographic allocation.

Introduction

These three exchange-traded funds (ETFs) compete within the clean energy theme but pursue distinct strategies. ICLN tracks a global clean energy index with wide geographic and sub-sector diversification. PBW follows a U.S.-focused clean energy index emphasizing innovative companies. TAN provides targeted exposure solely to solar energy firms worldwide. Investors comparing them evaluate trade-offs between breadth, thematic purity, cost, and concentration when seeking exposure to renewable energy transitions.

iShares Global Clean Energy ETF (ICLN) Overview

The iShares Global Clean Energy ETF (ICLN) seeks to track the S&P Global Clean Energy Transition Index, which measures the performance of global companies involved in clean energy production and related equipment. The fund holds approximately 100 equities and maintains a diversified allocation across utilities, industrials, and technology sectors with significant international exposure. Top holdings typically include companies such as Bloom Energy, First Solar, and NextEra Energy. Its expense ratio stands at 0.39%. As a passive, market-cap-weighted ETF from iShares, ICLN features annual or as-needed rebalancing aligned with the underlying index and offers strong liquidity through high average daily trading volume.

Invesco WilderHill Clean Energy ETF (PBW) Overview

The Invesco WilderHill Clean Energy ETF (PBW) tracks the WilderHill Clean Energy Index, which selects companies engaged in clean energy production, energy storage, and related technologies. The fund typically holds around 60-70 securities, with a tilt toward smaller-cap and innovative U.S. firms in renewable equipment and services. Expense ratio is 0.64%. PBW employs quarterly rebalancing and reconstitution to maintain alignment with the index. Issued by Invesco, the ETF uses a modified equal-weight or rules-based methodology that can result in higher turnover compared with broad market-cap approaches, distinguishing its risk profile within the clean energy space.

Invesco Solar ETF (TAN) Overview

The Invesco Solar ETF (TAN) tracks the MAC Global Solar Energy Index, providing exposure exclusively to companies in the solar energy value chain, including manufacturers, developers, and installers. The fund holds fewer than 50 securities, leading to higher concentration in solar-specific names such as First Solar and Enphase Energy. Its expense ratio is 0.70%. TAN applies quarterly rebalancing and is structured as a passive index tracker from Invesco. The narrow thematic mandate creates greater sensitivity to solar industry dynamics, regulatory incentives, and supply-chain factors than the broader clean energy peers.

Industry and Thematic Landscape

The clean energy sector encompasses renewable power generation, energy efficiency technologies, and supporting infrastructure. Macro drivers include government incentives, carbon reduction policies, and declining technology costs. Capital flows respond to interest rate environments, commodity prices, and supply-chain developments in critical minerals. Regulatory shifts in major markets such as the United States, Europe, and China influence project economics and corporate earnings. Geopolitical tensions around energy security can accelerate adoption of domestic renewable capacity. Sector risks include policy uncertainty, interest-rate sensitivity for capital-intensive projects, and competition from traditional energy sources during periods of price volatility.

Performance and Positioning Comparison

In recent market cycles, performance differences have stemmed primarily from exposure breadth and concentration. ICLN’s global diversification has historically moderated volatility relative to more concentrated peers during regional policy or technology shocks. PBW’s emphasis on innovative clean energy firms has produced distinct return patterns tied to research-and-development spending cycles and smaller-cap equity trends. TAN’s solar-only mandate has led to sharper drawdowns or rebounds during solar-specific events such as tariff changes or module price fluctuations. Over recent months, relative positioning reflects varying sensitivities to macroeconomic factors like interest rates and energy demand, with broader funds generally exhibiting more stable trend consistency than narrow thematic vehicles.

AI Screener

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. Explore the AI Screener to discover additional opportunities aligned with your strategy.

Tickeron AI Verdict

Based on observable structural characteristics, Tickeron’s AI would currently assign the highest probabilistic preference to ICLN due to its lowest expense ratio, broadest diversification across geographies and sub-sectors, and favorable liquidity profile. PBW offers differentiated exposure to innovative clean energy companies but at higher cost and with moderate concentration. TAN delivers pure solar thematic access yet carries elevated concentration risk and expense. The ranking reflects relative strengths in cost efficiency, diversification depth, and risk-adjusted positioning within the clean energy universe.

Disclaimer

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.

Disclaimers and Limitations

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SUMMARIES
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FUNDAMENTALS
Fundamentals
ICLN has more net assets: 2.94B vs. TAN (1.71B) and PBW (495M). PBW has a higher annual dividend yield than ICLN and TAN: PBW (21.484) vs ICLN (19.004) and TAN (15.737). ICLN was incepted earlier than PBW and TAN: ICLN (18 years) vs PBW (21 years) and TAN (18 years). ICLN (0.39) has a lower expense ratio than PBW (0.64) and TAN (0.70). PBW has a higher turnover TAN (41.00) and ICLN (25.00) vs TAN (41.00) and ICLN (25.00).
ICLNPBWTAN
Gain YTD19.00421.48415.737
Net Assets2.94B495M1.71B
Total Expense Ratio0.390.640.70
Turnover25.0062.0041.00
Yield1.140.600.00
Fund Existence18 years21 years18 years
TECHNICAL ANALYSIS
Technical Analysis
ICLNPBWTAN
RSI
ODDS (%)
Bullish Trend 1 day ago
85%
Bearish Trend 1 day ago
90%
Bearish Trend 1 day ago
90%
Stochastic
ODDS (%)
Bullish Trend 1 day ago
84%
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
89%
Momentum
ODDS (%)
Bearish Trend 1 day ago
87%
Bearish Trend 1 day ago
90%
Bearish Trend 1 day ago
90%
MACD
ODDS (%)
Bearish Trend 1 day ago
88%
Bearish Trend 1 day ago
83%
Bearish Trend 1 day ago
90%
TrendWeek
ODDS (%)
Bearish Trend 1 day ago
88%
Bearish Trend 1 day ago
90%
Bearish Trend 1 day ago
90%
TrendMonth
ODDS (%)
Bearish Trend 1 day ago
90%
Bearish Trend 1 day ago
90%
Bearish Trend 1 day ago
90%
Advances
ODDS (%)
Bullish Trend 6 days ago
88%
Bullish Trend 13 days ago
90%
Bullish Trend 6 days ago
87%
Declines
ODDS (%)
Bearish Trend 1 day ago
88%
Bearish Trend 1 day ago
90%
Bearish Trend 1 day ago
90%
BollingerBands
ODDS (%)
Bullish Trend 1 day ago
80%
Bullish Trend 1 day ago
90%
Bearish Trend 1 day ago
90%
Aroon
ODDS (%)
Bullish Trend 1 day ago
87%
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
87%
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ICLN
Daily Signal:
Gain/Loss:
PBW
Daily Signal:
Gain/Loss:
TAN
Daily Signal:
Gain/Loss:
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ICLN and

Correlation & Price change

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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To ICLN
1D Price
Change %
ICLN100%
-3.89%
NXT - ICLN
73%
Closely correlated
-5.50%
BE - ICLN
69%
Closely correlated
-18.49%
FCEL - ICLN
68%
Closely correlated
+22.14%
FSLR - ICLN
64%
Loosely correlated
-3.85%
SEDG - ICLN
58%
Loosely correlated
-0.25%
More

TAN and

Correlation & Price change

A.I.dvisor indicates that over the last year, TAN has been loosely correlated with BEEM. These tickers have moved in lockstep 49% of the time. This A.I.-generated data suggests there is some statistical probability that if TAN jumps, then BEEM could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To TAN
1D Price
Change %
TAN100%
-1.76%
BEEM - TAN
49%
Loosely correlated
+1.67%
FAST - TAN
21%
Poorly correlated
+0.43%
ENPH - TAN
18%
Poorly correlated
+0.78%
SHLS - TAN
12%
Poorly correlated
-8.72%
FSLR - TAN
12%
Poorly correlated
-3.85%
More