What Moves Like IHAK

iShares Cybersecurity and Tech ETF Fund · NYSE Arca

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

Closest match

BUG Global X Cybersecurity ETF — 0.948 correlation over the past year, and 27% choppier than IHAK.

About IHAK

Annualised volatility 28.0%
Beta vs SPY 1.02
Market correlation 0.468
Traded per day $7.8M
252 sessions to 2026-09-10 · IHAK volatility 28.0% annualised · $7.8M a day
Ticker 1-year correlation 3-year Volatility vs IHAK Risk What it is
BUG Global X Cybersecurity ETF
0.948
0.947 1.27× 27% choppier Fund
HACK Amplify Cybersecurity ETF
0.934
0.930 1.06× similar Fund
WCBR WisdomTree Cybersecurity Fund
0.929
0.927 1.34× 34% choppier Fund
CIBR First Trust NASDAQ Cybersecurity ETF
0.926
0.932 1.01× similar Fund
WCLD WisdomTree Cloud Computing Fund
0.839
0.857 1.36× 36% choppier Fund
IGV iShares Expanded Tech-Software Sector ETF
0.837
0.845 1.12× 12% choppier Fund
CLOU Global X Cloud Computing ETF
0.827
0.848 1.14× 14% choppier Fund
XSW State Street SPDR S&P Software & Services ETF
0.819
0.844 1.09× similar Fund
SKYY First Trust Cloud Computing ETF
0.818
0.836 1.07× similar Fund
FTNT Fortinet, Inc.
0.697
0.606 1.48× 48% choppier Computer Peripheral Equipment, Nec
QQEW First Trust Nasdaq-100 Select Equal Weight ETF
0.691
0.759 0.67× 33% calmer Fund
FDN First Trust DJ Internet Index Fund
0.675
0.743 0.73× 27% calmer Fund
ROBT First Trust Nasdaq Artificial Intelligence and Robotics ETF
0.675
0.763 0.91× similar Fund
AVPT AvePoint, Inc.
0.674
0.587 1.53× 53% choppier Services-Prepackaged Software
DT Dynatrace, Inc.
0.663
0.643 1.50× 50% choppier Services-Prepackaged Software
RDWR Radware Ltd.
0.628
0.540 1.47× 47% choppier Services-Business Services, Nec
GEN Gen Digital Inc.
0.617
0.527 1.26× 26% choppier Services-Prepackaged Software
COWG Pacer US Large Cap Cash Cows Growth Leaders ETF
0.616
0.724 0.67× 33% calmer Fund
SFLO VictoryShares Small Cap Free Cash Flow ETF
0.610
0.63× 38% calmer Fund
FINX Global X FinTech ETF
0.603
0.693 1.11× 11% choppier Fund
ARKW ARK Next Generation Internet ETF
0.599
0.672 1.21× 21% choppier Fund
FXL First Trust Technology AlphaDEX
0.597
0.740 0.95× similar Fund
THNQ ROBO Global Artificial Intelligence ETF
0.592
0.730 1.09× similar Fund
IETC iShares U.S. Tech Independence Focused ETF
0.583
0.683 0.88× 12% calmer Fund
VEEV Veeva Systems Inc. Class A
0.583
0.484 1.52× 52% 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.