kaufmansAMA() function

The kaufmansAMA() function calculates the Kaufman’s Adaptive Moving Average (KAMA) using values in an input table.

kaufmansAMA(
    n: 10,
    column: "_value",
)

Kaufman’s Adaptive Moving Average is a trend-following indicator designed to account for market noise or volatility.

Parameters

n

(Required) The period or number of points to use in the calculation.

column

The column to operate on. Defaults to "_value".

tables

Input data. Default is piped-forward data (<-).

Examples

The following example uses data provided by the sampledata package to show how kaufmansAMA() transforms data.

import "sampledata"

sampledata.int()
    |> kaufmansAMA(n: 3)