Standard Deviation is a statistical measure of
volatility. Standard Deviation is typically used as a component of other
indicators, rather than as a stand-alone indicator. For example,
Bollinger Bands are calculated by adding a security's Standard Deviation
to a moving average.
Interpretation
High Standard Deviation values occur when the data
item being analyzed (e.g., prices or an indicator) is changing
dramatically. Similarly, low Standard Deviation values occur when prices
are stable.
Many analysts feel that major tops are accompanied
with high volatility as investors struggle with both euphoria and fear.
Major bottoms are expected to be calmer as investors have few
expectations of profits.
Example
The following chart shows Proctor & Gamble and its
10-week Standard Deviation.
The extremely low Standard Deviation values at
points "A" and "B" preceded significant rallies at points 1 and "2."
Calculation
Where:
Standard Deviation is derived by calculating an
n-period simple moving average of the data item (i.e., the closing price
or an indicator), summing the squares of the difference between the data
item and its moving average over each of the preceding n-time periods,
dividing this sum by n, and then calculating the square root of this
result.