GRID, IPAY, and QCLN represent distinct thematic approaches within technology-driven sectors: smart grid infrastructure, digital payments, and clean energy. While not direct competitors, they intersect at innovation enabling modern economies—GRID modernizes power delivery for electrification and data centers, IPAY facilitates cashless transactions in a digital world, and QCLN powers renewables and EVs (electric vehicles). Investors compare them to allocate toward infrastructure resilience versus high-growth fintech and green tech. Amid surging power demands from AI and renewables, plus ongoing digital payment adoption, these passive index-tracking ETFs offer varied risk-reward profiles. Structural differences in geographic scope, holdings count, and sector tilts drive unique sensitivities to macro shifts like energy policy and consumer trends.
The First Trust NASDAQ Clean Edge Smart Grid Infrastructure Index Fund (GRID) tracks the Nasdaq Clean Edge Smart Grid Infrastructure Index, focusing on companies involved in electric grid, meters, networks, energy storage, and enabling software. It holds approximately 130 stocks, providing solid diversification. Top holdings include ETN (~8.6%), ABB Ltd (~8.1%), JCI (~7.6%), Schneider Electric (~7.3%), and National Grid (~7.1%), comprising over 50% of assets. Sector allocation emphasizes industrials (65%), utilities (20%), and technology (11%). The expense ratio is 0.56%. As a passive, non-diversified thematic ETF, it rebalances quarterly, capturing global leaders in grid modernization with a focus on durable infrastructure over volatile tech.
The Amplify Digital Payments ETF (IPAY) tracks the Nasdaq CTA Global Digital Payments Index, targeting mobile payments companies including card networks, processors, infrastructure, and solutions providers. It maintains around 40 holdings, resulting in higher concentration. Top holdings feature Block Inc. (~6.2%), V (~5.8%), MA (~5.5%), Adyen NV (~5.5%), and Affirm Holdings (~5.5%), accounting for ~54% of assets. Sector breakdown is technology-heavy at 55%, financial services 41%, and industrials ~4%. The expense ratio stands at 0.75%. This passive ETF rebalances quarterly, emphasizing the shift from cash to digital transactions with global exposure but notable single-name risks.
The First Trust NASDAQ Clean Edge Green Energy Index Fund (QCLN) follows the NASDAQ Clean Edge Green Energy Index, comprising U.S.-listed small-, mid-, and large-cap clean energy firms in solar, wind, batteries, fuel cells, and EVs. It includes ~50-55 holdings. Leading positions are BE (~12%), ON (~10%), MPWR (~9.3%), TSLA (~6.2%), and FSLR (~5.8%), totaling ~61%. Sectors skew to technology (44%), industrials (26%), and consumer cyclical (11%). Expense ratio is 0.59%. As a passive thematic fund, it rebalances quarterly, prioritizing innovation in U.S. green technologies with higher beta exposure.
These ETFs operate in interconnected yet distinct environments. GRID benefits from grid modernization driven by AI data centers, renewables integration, and electrification, amid regulatory pushes for resilient infrastructure and capital flows into utilities. IPAY rides digital payment growth, fueled by e-commerce, mobile wallets, and fintech adoption, though facing regulatory scrutiny on data privacy and competition from central bank digital currencies (CBDCs). QCLN taps clean energy expansion via policy incentives, falling battery costs, and EV uptake, but contends with supply chain vulnerabilities and commodity price swings. Macro factors like interest rates, geopolitical tensions over resources, and tech spending influence all, with sector risks including policy reversals for green initiatives and cyber threats for payments.
In recent months, QCLN has led with strong gains tied to clean tech rallies in batteries and EVs, though exhibiting higher volatility and drawdowns from innovation cycles. GRID delivered consistent advances, buoyed by infrastructure stability and lower beta (~1.44), with reduced sensitivity to tech selloffs. IPAY trailed, pressured by fintech headwinds like elevated rates curbing consumer lending. GRID's broader holdings mitigate concentration risk versus IPAY's top-heavy portfolio and QCLN's U.S.-tech focus. Differences stem from GRID's global industrials buffer, QCLN's growth momentum, and IPAY's cyclical payments exposure to economic shifts.
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 (market cap), technical indicators, price patterns, and performance metrics. The screener identifies trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening, empowering data-driven decisions across asset classes. Explore it today to uncover hidden gems in thematic sectors like infrastructure and fintech.
Tickeron’s AI favors GRID with moderate conviction (~65% probability edge) due to superior diversification (~130 holdings), lowest expense ratio (0.56%), global infrastructure tilt, and stable momentum in recent market cycles. Its risk-adjusted positioning outperforms IPAY's concentration and QCLN's volatility, aligning with enduring grid upgrade trends.
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.
| GRID | IPAY | QCLN | |
| Gain YTD | 24.906 | -14.793 | 36.320 |
| Net Assets | 11.8B | 150M | 829M |
| Total Expense Ratio | 0.56 | 0.75 | 0.59 |
| Turnover | 26.00 | 29.00 | 23.00 |
| Yield | 0.78 | 0.88 | 0.15 |
| Fund Existence | 17 years | 11 years | 19 years |
| GRID | IPAY | QCLN | |
|---|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 90% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 83% | 2 days ago 87% | 2 days ago 89% |
| Momentum ODDS (%) | 2 days ago 90% | 2 days ago 85% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 89% | 2 days ago 81% | 2 days ago 83% |
| TrendWeek ODDS (%) | 2 days ago 83% | 2 days ago 79% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 81% | 2 days ago 86% | 2 days ago 90% |
| Advances ODDS (%) | 5 days ago 86% | 11 days ago 78% | 5 days ago 90% |
| Declines ODDS (%) | 3 days ago 82% | 4 days ago 86% | 3 days ago 90% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 85% | 2 days ago 87% |
| Aroon ODDS (%) | 2 days ago 70% | 2 days ago 87% | 2 days ago 90% |
A.I.dvisor indicates that over the last year, IPAY has been closely correlated with GPN. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if IPAY jumps, then GPN could also see price increases.
| Ticker / NAME | Correlation To IPAY | 1D Price Change % | ||
|---|---|---|---|---|
| IPAY | 100% | -0.95% | ||
| GPN - IPAY | 72% Closely correlated | +1.61% | ||
| XYZ - IPAY | 71% Closely correlated | -2.11% | ||
| TOST - IPAY | 69% Closely correlated | -0.96% | ||
| AFRM - IPAY | 69% Closely correlated | -1.04% | ||
| PYPL - IPAY | 66% Closely correlated | -0.24% | ||
More | ||||
A.I.dvisor indicates that over the last year, QCLN has been closely correlated with ON. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if QCLN jumps, then ON could also see price increases.
| Ticker / NAME | Correlation To QCLN | 1D Price Change % | ||
|---|---|---|---|---|
| QCLN | 100% | +0.43% | ||
| ON - QCLN | 68% Closely correlated | +2.59% | ||
| ALGM - QCLN | 67% Closely correlated | +8.55% | ||
| AEIS - QCLN | 67% Closely correlated | +4.32% | ||
| BE - QCLN | 67% Closely correlated | -5.21% | ||
| ENS - QCLN | 65% Loosely correlated | +3.38% | ||
More | ||||