Documentation

doubleEMA() function

doubleEMA() returns the double exponential moving average (DEMA) of values in the _value column grouped into n number of points, giving more weight to recent data.

Double exponential moving average rules

  • A double exponential moving average is defined as doubleEMA = 2 * EMA_N - EMA of EMA_N.
    • EMA is an exponential moving average.
    • N = n is the period used to calculate the EMA.
  • A true double exponential moving average requires at least 2 * n - 1 values. If not enough values exist to calculate the double EMA, it returns a NaN value.
  • doubleEMA() inherits all exponentialMovingAverage() rules.
Function type signature
(<-tables: stream[{A with _value: B}], n: int) => stream[C] where B: Numeric, C: Record
  • Copy
  • Fill window

For more information, see Function type signatures.

Parameters

n

(Required) Number of points to average.

tables

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

Examples

Calculate a three point double exponential moving average

import "sampledata"

sampledata.int()
    |> doubleEMA(n: 3)
  • Copy
  • Fill window

View example input and output


Was this page helpful?

Thank you for your feedback!


The future of Flux

Flux is going into maintenance mode. You can continue using it as you currently are without any changes to your code.

Read more

New in InfluxDB 3.2

Key enhancements in InfluxDB 3.2 and the InfluxDB 3 Explorer UI is now generally available.

See the Blog Post

InfluxDB 3.2 is now available for both Core and Enterprise, bringing the general availability of InfluxDB 3 Explorer, a new UI that simplifies how you query, explore, and visualize data. On top of that, InfluxDB 3.2 includes a wide range of performance improvements, feature updates, and bug fixes including automated data retention and more.

For more information, check out: