kaufmansAMA() function
kaufmansAMA() calculates the Kaufman’s Adaptive Moving Average (KAMA) using
values in input tables.
Kaufman’s Adaptive Moving Average is a trend-following indicator designed to account for market noise or volatility.
Function type signature
(<-tables: stream[A], n: int, ?column: string) => stream[B] where A: Record, B: RecordFor more information, see Function type signatures.
Parameters
n
(Required) Period or number of points to use in the calculation.
column
Column to operate on. Default is _value.
tables
Input data. Default is piped-forward data (<-).
Examples
Calculate Kaufman’s Adaptive Moving Average for input data
import "sampledata"
sampledata.int()
|> kaufmansAMA(n: 3)Was this page helpful?
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