EA Series Trust Intelligent Alpha Atlas ETF (GPT) — Stock Correlations & Overview

Over the past year, GPT has moved most closely with AFOS, CCSO, QMOM. Explore the stocks most correlated and inversely correlated with GPT below, along with its price, financials, and company profile.

Stocks correlated with GPT

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

Most correlated with GPT

SymbolCompanyCorrelation
AFOSARS Focused Opportunity Strategy ETF0.89
CCSOCarbon Collective Climate Solutions U.S. Equity ETF0.89
QMOMAlpha Architect U.S. Quantitative Momentum ETF0.88
PPIInvestment Managers Series Trust II Astoria Real Assets ETF0.88
IDVOAmplify CWP International Enhanced Dividend Income ETF0.88

Most inversely correlated with GPT

SymbolCompanyCorrelation
HIBSDirexion Daily S&P 500 High Beta Bear 3X ETF-0.84
BTALAGF U.S. Market Neutral Anti-Beta Fund-0.80
EUMProShares Trust Short MSCI Emerging Markets-0.80
EDZDirexion Daily MSCI Emerging Markets Bear 3X ETF-0.80
TZADirexion Daily Small Cap Bear 3x ETF-0.80

Frequently asked questions about GPT correlations

Which stocks are most correlated with GPT?
Based on one year of daily returns, the stocks most correlated with EA Series Trust Intelligent Alpha Atlas ETF (GPT) are AFOS (0.89), CCSO (0.89) and QMOM (0.88). 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 GPT?
Over the past year, the stocks most inversely correlated with EA Series Trust Intelligent Alpha Atlas ETF (GPT) are HIBS (-0.84), BTAL (-0.80) and EUM (-0.80). 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 GPT correlations calculated?
We compute the correlation of daily returns between GPT 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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