---
title: tripleEMA() function
description: tripleEMA() returns the triple exponential moving average (TEMA) of values in the _value column.
url: https://docs.influxdata.com/flux/v0/stdlib/universe/tripleema/
estimated_tokens: 918
product: Flux
version: v0
publisher: InfluxData
canonical: https://docs.influxdata.com/flux/v0/stdlib/universe/tripleema/
date: '2024-04-08T16:01:02-06:00'
lastmod: '2024-04-08T16:01:02-06:00'
---

* Flux 0.38.0+

InfluxDB support

`tripleEMA()` returns the triple exponential moving average (TEMA) of values in
the `_value` column.

`tripleEMA` uses `n` number of points to calculate the TEMA, giving more
weight to recent data with less lag than `exponentialMovingAverage()` and`doubleEMA()`.

#### Triple exponential moving average rules

* A triple exponential moving average is defined as `tripleEMA = (3 * EMA_1) - (3 * EMA_2) + EMA_3`.
  * `EMA_1` is the exponential moving average of the original data.
  * `EMA_2` is the exponential moving average of `EMA_1`.
  * `EMA_3` is the exponential moving average of `EMA_2`.

* A true triple exponential moving average requires at least requires at least`3 * n - 2` values. If not enough values exist to calculate the TEMA, it
  returns a `NaN` value.
* `tripleEMA()` inherits all `exponentialMovingAverage()` rules.

##### Function type signature

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

For more information, see [Function type signatures](/flux/v0/function-type-signatures/).

## Parameters

### n

(Required)
Number of points to use in the calculation.

### tables

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

## Examples

### Calculate a three point triple exponential moving average

```js
import "sampledata"

sampledata.int()
    |> tripleEMA(n: 3)
```

[](#view-example-input-and-output)

View example input and output

#### 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|
|--------------------|------------------|-----|
|2021-01-01T00:00:50Z|7.6250000000000036| t1  |

|       \_time       |     \_value      |\*tag|
|--------------------|------------------|-----|
|2021-01-01T00:00:50Z|4.0729166666666625| t2  |

#### Related

* [movingAverage() function](/flux/v0/stdlib/universe/movingaverage/)
* [doubleEMA() function](/flux/v0/stdlib/universe/doubleema/)
* [timedMovingAverage() function](/flux/v0/stdlib/universe/timedmovingaverage/)
* [exponentialMovingAverage() function](/flux/v0/stdlib/universe/exponentialmovingaverage/)
* [InfluxQL TRIPLE\_EXPONENTIAL\_MOVING\_AVERAGE()](/influxdb/v1/query_language/functions/#triple-exponential-moving-average)

[transformations](/flux/v0/tags/transformations/)
| _time | _value | *tag |
| --- | --- | --- |
| _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 |
| --- | --- | --- |
| _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 |
| --- | --- | --- |
| _time | _value | *tag |
| 2021-01-01T00:00:50Z | 7.6250000000000036 | t1 |

| _time | _value | *tag |
| --- | --- | --- |
| _time | _value | *tag |
| 2021-01-01T00:00:50Z | 4.0729166666666625 | t2 |