content/flux/v0/stdlib/universe/kaufmanser.md
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.
(<-tables: stream[A], n: int) => stream[{B with _value: float, _value: float}] where A: Record
{{% caption %}} For more information, see Function type signatures. {{% /caption %}}
({{< req >}}) Period or number of points to use in the calculation.
Input data. Default is piped-forward data (<-).
import "sampledata"
sampledata.int()
|> kaufmansER(n: 3)
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| _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 |
| _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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