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Volatility is a measure of how wild or quiet the market is relative to its history. It can be more accurately defined as the standard deviation of a series of price changes measured at regular intervals. To the pure chartist, this indicator can be employed as an initial filter, which can applied over a selection of markets to arrive at the most suitable individual markets that will fit a particular style or method.
Volatility is generally measured using price changes expressed in logarithmic form, but can also be assessed using percentage changes in price. Price percentage changes would appear to reflect a more accurate picture of the market, despite the assumption that prices change at fixed intervals, which isn’t necessarily how it is. On the other hand, logarithmic price changes assume prices are changing continuously, but that doesn’t necessarily depict the market as it really is either.
A different approach at calculating historical volatility is to use the range between the high and the low and measure how it changes, rather than using standard deviation.
There are several steps to calculating historical volatility:
Percent Price Changes
Xi = P(i+1) Pi / Pi
Logarithmic Price Changes
Xi = log [Pi+1 / Pi]
where P is the price at the end of each interval i
High/Low Range Price Changes -
σ = √ 1/n Σ {0.5 [log (Hi/Li)] ^2 + 0.39 [log (Pi/Pi-1)] ^2}
where:
n = period
H = high price
L = low price
P = the price at the end of each interval i
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