Calculating Parkinson’s Volatility in Python

How to Code Parkinson’s Volatility For Time Series Analysis

Parkinson’s volatility is a measure of historical volatility that utilizes the high and low prices of a financial instrument over a given period. It is considered to be more efficient than the standard close-to-close volatility estimator because it incorporates the intraday price range, capturing more information about price movements within the day.

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