There are a lot of ways to measure volatility (changeability). One of them is calculation of the standard deviation of returns for a certain period of time. Sometimes the current volatility on a short period of time (for example, 6 days) is correlated with volatility of a larger period (for example 100 days). This indicator calculates the correlation of a short volatility Vol_short and a long volatility Vol_long:
Vol_change=Vol_short/Vol_long
Standard deviation here is not that from a difference of closing prices, but from logarithms of the correlation of the current day closing price and closing price of a previous day:
Mom[i]=Close[i]/Close[i+1]
Vol_k=Std(Mom,k),
where k is the period of volatility change.
The indicator uses SmoothAlgorithms.mqh library classes (must be copied to the terminal_data_folder\MQL5\Include). The use of the classes was thoroughly described in the article “Averaging Price Series for Intermediate Calculations Without Using Additional Buffers”.
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