Clean-energy investing has re-entered the spotlight after years of underperformance, driven by rising electricity demand from data centers, energy-security concerns, and a broader global push toward electrification. For traders and investors seeking diversified exposure to this theme without picking individual stocks, ETFs such as FRNW (Fidelity Clean Energy ETF) and ICLN (iShares Global Clean Energy ETF) are natural candidates. Both funds hold renewable-energy companies across solar, wind, hydrogen, and related infrastructure, yet they differ in scale, methodology, and recent market behavior. This comparison examines their relative performance, positioning, and momentum to help readers understand how these two vehicles stack up in the current environment. I also checked comparable holdings using Tickeron’s AI Screener to see how the funds align with peers in the sector.
FRNW, the Fidelity Clean Energy ETF, launched in October 2021 and seeks to track the Fidelity Clean Energy Index, a global universe of companies that produce, distribute, or supply technology and equipment for solar, wind, hydrogen, and other renewable energy sources. It is a passively managed fund with a net expense ratio of about 0.39% and total net assets in the tens of millions of dollars, making it a relatively small vehicle in its category.
In recent market activity, FRNW has reflected the volatility common to clean-energy equities. The fund posted a strong calendar-year return in 2025, but its shorter-term momentum has weakened in recent weeks, with the price trading below longer-term averages and well beneath its 52-week high. Its portfolio is comparatively concentrated, with notable positions in GE Vernova, Vestas Wind Systems, Bloom Energy, EDP, and First Solar. This concentration, combined with meaningful international exposure across Europe and emerging Asia, means sentiment toward individual holdings and regional policy developments can have an outsized influence on the fund's performance. When reviewing the holdings list, I ran a quick scan through Tickeron’s AI Pattern Search Engine to confirm the top positions and their recent patterns.
ICLN, the iShares Global Clean Energy ETF, is a far larger and longer-tenured fund, having launched in 2008. It tracks the S&P Global Clean Energy Index and holds a broad portfolio of global clean-energy companies spanning wind, solar, and other renewable technologies. With total net assets in the billions of dollars and more than 100 holdings, ICLN is one of the most liquid and widely held clean-energy ETFs available, with an expense ratio of roughly 0.42%.
Over the recent period, ICLN delivered a notably strong trailing return, rallying sharply alongside renewed investor interest in renewables and artificial intelligence (AI)-driven electricity demand. After reaching a new 52-week high, the fund experienced a pullback of roughly 10% or more, a correction some market participants attributed to profit-taking and policy uncertainty. Despite this, its longer-term trend has remained structurally more intact than that of smaller peers, supported by heavy holdings in U.S. and European clean-energy names and by periodic inflows and outflows that reflect active institutional participation.
Tickeron's Trending AI Robots page highlights a curated selection of AI-powered trading bots that monitor thousands of tickers across the market. While Tickeron's platform offers hundreds of automated trading bots, only a subset earns placement in this section — those judged most suitable for current market conditions based on their recent performance, consistency, and strategy fit. Each bot operates with its own trading style, timeframe, and statistical profile, and each targets a distinct set of tickers, meaning no two bots approach the market in exactly the same way. For investors exploring automated approaches to the clean-energy space or any other sector, reviewing the Trending AI Robots can offer a practical starting point for identifying strategies aligned with prevailing conditions.
Although FRNW and ICLN both target the renewable-energy theme, their structures create meaningful trade-offs. ICLN offers substantially greater scale, deeper liquidity, and wider diversification across more than 100 holdings, which can help smooth single-stock and single-country risk. FRNW, by contrast, holds fewer positions and carries higher portfolio turnover, giving it a more concentrated and potentially more volatile profile that can amplify both gains and losses from top holdings.
On growth drivers, both funds benefit from rising electricity demand tied to AI and data centers, as well as global decarbonization efforts. Sector exposure is similar, with heavy weightings in utilities, industrials, and technology. The key contrast lies in recent momentum and stability: ICLN has shown a more consistent trend through the recent rally and subsequent correction, while FRNW has displayed weaker shorter-term momentum. Risk factors such as interest-rate sensitivity, policy shifts, and supply-chain costs affect both funds, but the larger, more liquid structure of ICLN generally provides a more resilient market positioning for most participants.
Based on observable factors — including trend consistency, liquidity, diversification, and relative market positioning — Tickeron's AI analysis currently favors ICLN over FRNW. The iShares fund's larger asset base, deeper trading volume, broader holdings, and more durable longer-term trend give it a probabilistic edge in the current environment. This assessment reflects relative positioning rather than a forecast of future returns, and conditions can change as momentum, policy, and market sentiment evolve.
In my research process I often consult Tickeron’s AI Daily Buy/Sell Signals to gauge momentum shifts across ETFs like these. The tool provides a quick, data-driven view of trend strength and entry points that complements traditional analysis. It has become a regular part of how I evaluate sector exposure without adding excessive complexity to the workflow.
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.
The Aroon Indicator for ICLN entered a downward trend on November 03, 2026. Tickeron's A.I.dvisor identified a pattern where the AroonDown red line was above 70 while the AroonUp green line was below 30 for three straight days. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options. A.I.dvisor looked at 208 similar instances where the Aroon Indicator formed such a pattern. In 194 of the 208 cases the stock moved lower. This puts the odds of a downward move at 90%.
The Momentum Indicator moved below the 0 level on October 14, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on ICLN as a result. In 66 of 80 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 82%.
The Moving Average Convergence Divergence Histogram (MACD) for ICLN turned negative on October 14, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 49 similar instances when the indicator turned negative. In 43 of the 49 cases the stock turned lower in the days that followed. This puts the odds of success at 88%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where ICLN declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 88%.
The RSI Oscillator points to a transition from a downward trend to an upward trend -- in cases where ICLN's RSI Oscillator exited the oversold zone, 27 of 32 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 84%.
The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. 52 of 59 cases where ICLN's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 88%.
Following a +5.22% 3-day Advance, the price is estimated to grow further. Considering data from situations where ICLN advanced for three days, in 231 of 266 cases, the price rose further within the following month. The odds of a continued upward trend are 87%.
ICLN may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category MiscellaneousSector