docs-v2/content/flux/v0/stdlib/universe/kaufmanser.md

title	description	menu	weight	flux/v0/tags	introduced
kaufmansER() function	`kaufmansER()` computes the Kaufman's Efficiency Ratio (KER) of values in the `_value` column for each input table.	flux_v0_ref name parent identifier kaufmansER universe universe/kaufmansER	101	transformations	0.40.0

kaufmansER() computes the Kaufman's Efficiency Ratio (KER) of values in the _value column for each input table.

Kaufman’s Efficiency Ratio indicator divides the absolute value of the Chande Momentum Oscillator by 100 to return a value between 0 and 1. Higher values represent a more efficient or trending market.

Function type signature

(<-tables: stream[A], n: int) => stream[{B with _value: float, _value: float}] where A: Record

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Parameters

n

({{< req >}}) Period or number of points to use in the calculation.

tables

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

Examples

Compute the Kaufman's Efficiency Ratio

import "sampledata"

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

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Input data

_time	_value	*tag
2021-01-01T00:00:00Z	-2	t1
2021-01-01T00:00:10Z	10	t1
2021-01-01T00:00:20Z	7	t1
2021-01-01T00:00:30Z	17	t1
2021-01-01T00:00:40Z	15	t1
2021-01-01T00:00:50Z	4	t1

_time	_value	*tag
2021-01-01T00:00:00Z	19	t2
2021-01-01T00:00:10Z	4	t2
2021-01-01T00:00:20Z	-3	t2
2021-01-01T00:00:30Z	19	t2
2021-01-01T00:00:40Z	13	t2
2021-01-01T00:00:50Z	1	t2

Output data

_time	_value	*tag
2021-01-01T00:00:30Z	0.76	t1
2021-01-01T00:00:40Z	0.33333333333333337	t1
2021-01-01T00:00:50Z	0.13043478260869565	t1

_time	_value	*tag
2021-01-01T00:00:30Z	0	t2
2021-01-01T00:00:40Z	0.2571428571428572	t2
2021-01-01T00:00:50Z	0.1	t2

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