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Standard Deviation

Last updated: February 2, 2026

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Also known as:
std dev, sigma, standard deviation of returns, standard deviation formula, how to calculate standard deviation

Standard deviation measures how spread out a set of numbers is around its average.

In markets, it's the core ingredient of volatility.

If you want to express a return as “how many standard deviations from average,” see z-score.

The formula

σ=E[(rμ)2]\sigma = \sqrt{E[(r - \mu)^2]}

Where rr is the return series and μ\mu is the average return.

What it captures (and what it doesn't)

  • It treats upside and downside moves the same.
  • A few big outliers can dominate it.
  • It doesn't tell you direction (that's skew).

So standard deviation is a reasonable starting point but not a complete picture.

See it in action

Compare SOL vs SPY to see how volatility reflects standard deviation.