What Moves Like IPAY

Amplify Digital Payments ETF Fund · NYSE Arca

The tradable tickers whose daily moves track IPAY most closely over the past year, filtered to risk comparable with IPAY's own.

Closest match

FINX Global X FinTech ETF — 0.875 correlation over the past year, and 25% choppier than IPAY.

About IPAY

Annualised volatility 25.0%
Beta vs SPY 1.14
Market correlation 0.584
Traded per day $1.2M
252 sessions to 2026-09-10 · IPAY volatility 25.0% annualised · $1.2M a day
Ticker 1-year correlation 3-year Volatility vs IPAY Risk What it is
FINX Global X FinTech ETF
0.875
0.922 1.25× 25% choppier Fund
PNQI Invesco Nasdaq Internet ETF
0.776
0.793 0.82× 18% calmer Fund
XSW State Street SPDR S&P Software & Services ETF
0.735
0.806 1.23× 23% choppier Fund
SFLO VictoryShares Small Cap Free Cash Flow ETF
0.734
0.70× 30% calmer Fund
ARKF ARK Blockchain & Fintech Innovation ETF
0.733
0.818 1.38× 38% choppier Fund
SPGP Invesco S&P 500 GARP ETF
0.732
0.782 0.62× 38% calmer Fund
KCE State Street SPDR S&P Capital Markets ETF
0.717
0.812 0.84× 16% calmer Fund
IYG iShares U.S. Financial Services ETF
0.705
0.797 0.63× 37% calmer Fund
CALF Pacer US Small Cap Cash Cows ETF
0.696
0.734 0.64× 36% calmer Fund
FDN First Trust DJ Internet Index Fund
0.682
0.755 0.82× 18% calmer Fund
IYC iShares U.S. Consumer Discretionary ETF
0.675
0.782 0.62× 38% calmer Fund
PSP Invesco Global Listed Private Equity ETF
0.664
0.772 0.84× 16% calmer Fund
FIS Fidelity National Information Services, Inc.
0.662
0.586 1.32× 32% choppier Services-Business Services, Nec
URSP ProShares Ultra S&P 500 Equal Weight
0.658
0.785 0.95× similar Fund
VFLO VictoryShares Free Cash Flow ETF
0.656
0.715 0.63× 37% calmer Fund
QQEW First Trust Nasdaq-100 Select Equal Weight ETF
0.649
0.768 0.76× 25% calmer Fund
IAI iShares U.S. Broker-Dealers & Securities Exchanges ETF
0.647
0.774 0.82× 18% calmer Fund
FXO First Trust Financials AlphaDEX
0.646
0.762 0.61× 39% calmer Fund
AXP American Express Company
0.644
0.722 1.07× similar Finance Services
RSPD Invesco S&P 500 Equal Weight Consumer Discretionary ETF
0.643
0.755 0.75× 25% calmer Fund
EEFT Euronet Worldwide, Inc.
0.633
0.660 1.47× 47% choppier Functions Related To Depository Banking, Nec
FDIS Fidelity MSCI Consumer Discretionary Index ETF
0.631
0.751 0.78× 23% calmer Fund
COF Capital One Financial Corporation
0.631
0.663 1.29× 29% choppier National Commercial Banks
VCR Vanguard Consumer Discretion ETF
0.631
0.749 0.78× 22% calmer Fund
ACIW ACI Worldwide, Inc.
0.630
0.622 1.38× 38% choppier Services-Prepackaged Software

Showing 25 of 30 tickers that qualified. Correlation is of daily returns; 1.000 would mean moving in lockstep, 0.000 no relationship at all.

What this is for

Three questions, one number behind all of them.

How to read the two correlation columns

The one-year figure is what the relationship looks like now. The three-year figure is what it has looked like over a longer stretch. Comparing them is the point: when they agree, the relationship is structural and likely to hold. When the one-year number is far below the three-year one, something has changed — a shift in business mix, an index reconstitution, a sector that has stopped moving together — and the recent figure is the one to trust less, not more.

Correlation measures whether two things move together, not whether they move by the same amount. That is why the volatility column is there. Two tickers can correlate at 0.99 while one swings half again as hard, and swapping one for the other would quietly change how much risk you are carrying.

What was deliberately left out

Ranking purely by correlation produces answers that are mathematically perfect and practically useless. The closest matches to AAPL by raw correlation are leveraged AAPL funds at 0.999 — correct, and not replacements for anything. Four filters run before a ticker is allowed to appear:

Where all of that leaves a ticker with no close match, the page says so. A stock with no substitute is a real and useful finding, and inventing a loose one to fill the table would be worse than an empty answer.

Limits, stated up front

Where the numbers come from

Correlations are computed in-house from a daily price history and rebuilt every night. What gets published is the derived statistic — a correlation coefficient, a volatility ratio, an observation count — and nothing from which a price or return series could be reconstructed. The rest of the Markets section is on the Markets overview, including futures positioning extremes and SEC Form 4 insider transactions.