FT Vest Nasdaq-100 Moderate Buffer ETF - February (QMFE) — Stock Correlations & Overview

Over the past year, QMFE has moved most closely with NFEB, PQOC, PQJA. Explore the stocks most correlated and inversely correlated with QMFE below, along with its price, financials, and company profile.

Stocks correlated with QMFE

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

Most correlated with QMFE

SymbolCompanyCorrelation
NFEBInnovator Growth-100 Power Buffer ETF - February0.97
PQOCPGIM Nasdaq-100 Buffer 12 ETF - October0.96
PQJAPGIM Nasdaq-100 Buffer 12 ETF - January0.96
PBQQPGIM Laddered Nasdaq-100 Buffer 12 ETF0.96
QCJAFT Vest Nasdaq-100 Conservative Buffer ETF - January0.96

Most inversely correlated with QMFE

SymbolCompanyCorrelation
SPXUProShares UltraPro Short S&P 500-0.93
SPXSDirexion Daily S&P 500 Bear 3x ETF-0.93
SDSProShares UltraShort S&P500-0.93
QIDProShares UltraShort QQQ-0.92
SQQQProShares UltraPro Short QQQ-0.92

Frequently asked questions about QMFE correlations

Which stocks are most correlated with QMFE?
Based on one year of daily returns, the stocks most correlated with FT Vest Nasdaq-100 Moderate Buffer ETF - February (QMFE) are NFEB (0.97), PQOC (0.96) and PQJA (0.96). 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 QMFE?
Over the past year, the stocks most inversely correlated with FT Vest Nasdaq-100 Moderate Buffer ETF - February (QMFE) are SPXU (-0.93), SPXS (-0.93) and SDS (-0.93). 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 QMFE correlations calculated?
We compute the correlation of daily returns between QMFE 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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