Description:
Moving averages smooth the data in a time series to help eliminate noise and identify trends.
Each value in the array carries equal weight. The Exponential MA differs from the Simple MA in that the divisor is not the number of periods but an expontential constant. This method allows the moving average to be more responsive to changes in the base data.
Formula:
EMAi = EMA(i-1) + K * (a1i - EMA(i-1))
K (expontential constant) = 2 / (term + 1)
Parameters:
Period Period with which to base the Exponential Moving Averagecalculation
Arguments:
OHLC of the Time Frame, or an
Output Indicator of a study in the TimeFrame.
Output Indicators:
ExpMA
Example:
Study Name Expanded in a 3 minute timeframe:
I3_ExpMA(10)(I3CloseI3)_I3
This study calculates an Exponential Moving Average with a period of 10 on the 3 minute time frame,
using the close of the 3 minute bar as input argument
The output indicators names are appended to the studyname,
that is if the studyname is sn1 then
the outputindicator is
sn1::ExpMA
