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Stock Correlation Tool

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Stock Correlation Tool

Measure how closely two stocks move together. Understand correlation coefficients and build a truly diversified portfolio that reduces risk without sacrificing returns.

February 15, 2026


Owning ten stocks does not mean you are diversified — not if all ten move in lockstep when the market drops. True diversification comes from holding assets whose returns are uncorrelated, meaning when one zigs, the other zags. Our Stock Correlation Tool lets you quantify exactly how closely any two stocks move together so you can build portfolios that actually reduce risk.

Whether you are stress-testing a concentrated portfolio or looking for a hedge, understanding correlation is one of the most powerful edges a retail investor can develop.

Try It: Stock Correlation Tool

Enter two tickers to calculate their historical correlation coefficient. The tool shows how the relationship has behaved over different time periods so you can see whether diversification benefits are consistent or break down during drawdowns.

What the Correlation Coefficient Tells You

The correlation coefficient ranges from -1.0 to +1.0 and measures the strength and direction of the linear relationship between two stocks' returns:

  • +1.0 (perfect positive correlation): Both stocks move in the same direction by the same magnitude. No diversification benefit at all.
  • 0.0 (no correlation): The two stocks move independently of each other. Adding this pair to a portfolio meaningfully reduces volatility.
  • -1.0 (perfect negative correlation): The stocks move in opposite directions. This is the ideal hedge — rare in practice but powerful in theory.
  • 0.3 to 0.7 range: Most stock pairs in different sectors fall in this range. You still get meaningful diversification, especially under 0.5.

Building a Diversified Portfolio with Correlation

Here is a practical framework for using correlation in portfolio construction:

  • Aim for an average portfolio correlation below 0.5. This means your holdings have enough independence to smooth out returns over time.
  • Diversify across sectors, not just tickers. Two tech stocks will almost always be highly correlated regardless of company-specific factors. Mix in healthcare, utilities, consumer staples, and international exposure.
  • Beware of correlation spikes during crises. Correlations tend to rise toward 1.0 during market panics — exactly when you need diversification most. Consider adding truly non-correlated assets like bonds or commodities.
  • Recheck correlations periodically. Business pivots, M&A activity, and macro shifts can change how stocks move relative to each other over time.

Screen for Low-Correlation Stocks

Looking for stocks that behave independently of the broader market? Start your search here:

  • Screen for low-beta stocks (under 0.5) — companies whose prices move less than half as much as the S&P 500.
  • Low-beta stocks tend to have lower correlations with the market, making them strong diversification candidates for portfolios heavy on growth or cyclical names.

Combine beta screening with sector filters to find truly independent movers that can stabilize your portfolio in volatile markets.

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