FT Vest U.S. Equity Quarterly Max Buffer ETF (SQMX) — Stock Correlations & Overview

Over the past year, SQMX has moved most closely with XDSQ, TWOX, SHDG. Explore the stocks most correlated and inversely correlated with SQMX below, along with its price, financials, and company profile.

Stocks correlated with SQMX

Correlation of daily returns. Higher positive values move with SQMX; negative values move opposite it. Informational only, not investment advice.

Most correlated with SQMX

SymbolCompanyCorrelation
XDSQInnovator U.S. Equity Accelerated ETF - Quarterly0.90
TWOXiShares Large Cap Accelerated Outcome ETF0.90
SHDGSoundwatch Hedged Equity ETF0.89
EALTInnovator U.S. Equity 5 to 15 Buffer ETF - Quarterly0.89
HELOJPMorgan Hedged Equity Laddered Overlay ETF0.86

Most inversely correlated with SQMX

SymbolCompanyCorrelation
SPXSDirexion Daily S&P 500 Bear 3x ETF-0.81
SDSProShares UltraShort S&P500-0.81
SPXUProShares UltraPro Short S&P 500-0.81
SPDNDirexion Daily S&P 500 Bear 1X ETF-0.81
SHProShares Short S&P500-0.80

Frequently asked questions about SQMX correlations

Which stocks are most correlated with SQMX?
Based on one year of daily returns, the stocks most correlated with FT Vest U.S. Equity Quarterly Max Buffer ETF (SQMX) are XDSQ (0.90), TWOX (0.90) and SHDG (0.89). A correlation near 1.00 means the two stocks' daily moves have tracked each other closely over the period.
Which stocks are inversely correlated with SQMX?
Over the past year, the stocks most inversely correlated with FT Vest U.S. Equity Quarterly Max Buffer ETF (SQMX) are SPXS (-0.81), SDS (-0.81) and SPXU (-0.81). A negative correlation means the two stocks have tended to move in opposite directions.
What does a correlation of 0.8 mean for a stock?
Correlation measures how closely two stocks' daily returns move together, on a scale from -1 to 1. At 0.8, the two stocks have moved in the same direction on most days — though not by identical amounts. A value near 0 means their moves have been unrelated, and a negative value means they have tended to move in opposite directions. Correlation reflects past behavior and can change over time.
How are these SQMX correlations calculated?
We compute the correlation of daily returns between SQMX and roughly 9,000 other US-listed stocks and ETFs over the trailing one-year window, then rank the strongest positive and negative relationships. The data is refreshed monthly. It is informational and educational only — not investment advice.
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