IPAY and JETS represent distinct thematic strategies within high-growth sectors: digital payments versus global aviation. While not direct competitors, both appeal to investors seeking exposure to structural shifts—IPAY to the cashless economy driven by smartphones and e-commerce, and JETS to post-pandemic travel recovery and airline efficiency. In today's environment of rising real-time payments, AI fraud detection, and resilient air traffic growth amid supply constraints, comparing these ETFs highlights alternative paths to sector-specific alpha. Investors weighing fintech stability against cyclical travel upside will find value in their differing risk-reward profiles, liquidity, and positioning amid macroeconomic rotations.
The Amplify Digital Payments ETF (IPAY) is a passive, thematic ETF that seeks to track the Nasdaq CTA Global Digital Payments Index before fees and expenses. This market-cap-weighted benchmark targets companies deriving significant revenue from digital payments, including card networks, processors, infrastructure, software, and solutions providers. Launched in July 2015 and listed on NYSE Arca, IPAY holds approximately 40 stocks, with the top 10 accounting for over 54% of assets. Key holdings include SQ (Block Inc., ~6%), V (Visa Inc., ~6%), MA (Mastercard Inc., ~5.5%), AFRM (Affirm Holdings Inc., ~5.5%), and ADYEN (Adyen NV, ~5.5%). Sector allocations emphasize transaction processing (~78%), consumer finance (~12%), and exchanges (~5%), blending financial services and technology exposure.
IPAY's expense ratio stands at 0.75%, reflecting its specialized focus. As a non-diversified fund, it rebalances quarterly to maintain index alignment, employing full replication or sampling as needed. Distinguishing features include global reach across developed markets and sensitivity to e-commerce trends, though it carries risks from cybersecurity, regulation, and competition in fintech.
The U.S. Global JETS ETF (JETS) is a passive, thematic ETF tracking the U.S. Global Jets Index prior to fees and expenses. This modified equal-weighted index captures global airline companies—passenger and cargo operators, manufacturers, airports, terminal services, and related media—using fundamental screens like market cap, trading volume, and load factors. Introduced in April 2015 on NYSE Arca, JETS features around 50 holdings, with top U.S. airlines capped at 10% each and internationals at lower weights. Prominent positions include DAL (Delta Air Lines, ~12%), AAL (American Airlines Group, ~11%), UAL (United Airlines, ~11%), and LUV (Southwest Airlines, ~10%). Sector breakdown tilts heavily to industrials (~89%) and consumer cyclical (~9%).
With a net expense ratio of 0.60%, JETS rebalances quarterly (March, June, September, December). As a non-diversified vehicle, it uses representative sampling and emphasizes efficient operators via quantamental methodology. Unique aspects include heavy U.S. focus (~75%) and exposure to aviation supply chains, tempered by fuel volatility, labor issues, and geopolitical risks.
The digital payments ecosystem benefits from accelerating trends like real-time settlements, AI-driven fraud prevention, stablecoins, and digital wallets projected to exceed 5 billion users globally. E-commerce expansion and embedded finance catalyze growth, though regulatory scrutiny on data privacy and competition from big tech pose risks. Meanwhile, aviation navigates sustained demand recovery, with passenger traffic forecasted at 4.9-5.8% growth in 2026 amid supply constraints (aircraft shortages, labor). Premium leisure and Asia-Pacific routes buoy airlines, supported by ancillary revenues and high load factors (~84%), but face headwinds from fuel costs, inflation, and geopolitical tensions. Both sectors exhibit resilience in a fragmented macro landscape of moderate GDP expansion and trade uncertainties.
In recent months through early 2026, IPAY has shown modest gains during payment processor rebounds but lagged broader markets amid buy-now-pay-later pressures and rate sensitivity, posting year-to-date declines around -9-10% and one-year returns near -11%. JETS exhibited higher volatility, with positive one-year momentum (~20-29%) fueled by travel cycles yet recent pullbacks from capacity rationalization and macro caution, including YTD variability. IPAY's lower beta reflects fintech's defensive tilt versus JETS' cyclical swings tied to fuel trends and load factors. Relative positioning favors IPAY in risk-off rotations to tech-enabled services, while JETS gains from leisure demand and yield discipline; volatility differences underscore IPAY's trend consistency against JETS' earnings sensitivity.
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 sectors like payments or aviation.
Tickeron’s AI currently favors IPAY with moderate probability due to its superior diversification across stable fintech leaders, lower relative volatility, cost structure aligned with long-term digital transaction growth, and consistent trend capture amid e-commerce momentum. JETS trails on elevated cyclical risks despite cheaper fees and travel tailwinds, as IPAY's structural exposure better balances sector momentum and downside protection—not investment advice.
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| IPAY | JETS | IPAY / JETS | |
| Gain YTD | -16.445 | -0.855 | 1,923% |
| Net Assets | 159M | 860M | 18% |
| Total Expense Ratio | 0.75 | 0.60 | 125% |
| Turnover | 29.00 | 38.00 | 76% |
| Yield | 0.88 | 0.79 | 111% |
| Fund Existence | 11 years | 11 years | - |
| IPAY | JETS | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 89% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 85% |
| Momentum ODDS (%) | 2 days ago 79% | 2 days ago 86% |
| MACD ODDS (%) | 2 days ago 87% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 79% | 2 days ago 89% |
| TrendMonth ODDS (%) | 2 days ago 86% | 2 days ago 90% |
| Advances ODDS (%) | 3 days ago 79% | 6 days ago 87% |
| Declines ODDS (%) | 13 days ago 86% | 2 days ago 90% |
| BollingerBands ODDS (%) | 2 days ago 89% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 89% | 2 days ago 90% |
A.I.dvisor indicates that over the last year, IPAY has been closely correlated with XYZ. These tickers have moved in lockstep 71% of the time. This A.I.-generated data suggests there is a high statistical probability that if IPAY jumps, then XYZ could also see price increases.
| Ticker / NAME | Correlation To IPAY | 1D Price Change % | ||
|---|---|---|---|---|
| IPAY | 100% | -4.17% | ||
| XYZ - IPAY | 71% Closely correlated | -5.87% | ||
| GPN - IPAY | 71% Closely correlated | -8.35% | ||
| TOST - IPAY | 68% Closely correlated | -4.86% | ||
| AFRM - IPAY | 67% Closely correlated | -6.68% | ||
| ACIW - IPAY | 66% Closely correlated | -4.92% | ||
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A.I.dvisor indicates that over the last year, JETS has been closely correlated with DAL. These tickers have moved in lockstep 90% of the time. This A.I.-generated data suggests there is a high statistical probability that if JETS jumps, then DAL could also see price increases.
| Ticker / NAME | Correlation To JETS | 1D Price Change % | ||
|---|---|---|---|---|
| JETS | 100% | -2.35% | ||
| DAL - JETS | 90% Closely correlated | -1.55% | ||
| AAL - JETS | 89% Closely correlated | -2.58% | ||
| UAL - JETS | 88% Closely correlated | -3.38% | ||
| ALGT - JETS | 85% Closely correlated | -5.33% | ||
| LUV - JETS | 82% Closely correlated | -3.47% | ||
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