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: Record
(Required) Period or number of points to use in the calculation.
Column to operate on. Default is
Input data. Default is piped-forward data (
Caclulate Kaufman’s Adaptive Moving Average for input data
import "sampledata" sampledata.int() |> kaufmansAMA(n: 3)
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