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Historical Volatility

The basics

Historical volatility measures how much a stock, index, or other asset's price has actually swung around over some past period. It is a backward-looking statistic: you take a stretch of daily (or hourly, or weekly) closing prices, calculate the returns from one period to the next, and then measure how spread out those returns are. That spread is usually expressed as a standard deviation, then annualized so different time periods can be compared on the same scale, often shown as a percentage.

In practice this means a stock that moves 3% in either direction most days will show a much higher historical volatility number than one that creeps along at 0.3% a day, even if both stocks end the year at the same price. Volatility says nothing about direction — a stock crashing 5% a day and one rallying 5% a day can have identical historical volatility.

The nuance that trips people up is the name itself: historical volatility only describes what already happened. It is not a prediction. Traders sometimes assume a stock that was calm last month will stay calm, but volatility tends to cluster and can shift quickly around earnings, news, or broad market stress. This is different from implied volatility, which is a forward-looking figure backed out of option prices and reflects what the market currently expects, not what has already occurred.

Because it's just arithmetic on past prices, historical volatility is objective and easy to calculate, but the number you get depends heavily on your choices: how many days you look back, whether you use closing prices or intraday highs and lows, and how you annualize the result. Two people can compute "the historical volatility" of the same stock and get different numbers if their lookback windows differ.

Why it matters on the desk

Day traders use historical volatility to size positions and set stop distances realistically — a stock with high historical volatility needs wider stops and smaller size to avoid being shaken out by normal noise, while comparing it to current implied volatility can flag whether options are pricing in unusually calm or turbulent conditions ahead.

An example

Suppose stock XYZ closed at prices that produced daily returns averaging a standard deviation of 1.5% over the last 20 trading days. Annualizing that (roughly multiplying by the square root of 252 trading days) gives a historical volatility of about 24%. A trader glancing at this sees that XYZ has been moving in a fairly typical range lately — nothing like the 60%+ historical volatility you might see in a stock that just had a wild earnings surprise.

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