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tripleExponentialDerivative() function The `tripleExponentialDerivative()` function calculates a triple exponential derivative (TRIX) of input tables using `n` points.
/v2.0/reference/flux/functions/built-in/transformations/aggregates/tripleexponentialderivative/
/v2.0/reference/flux/stdlib/built-in/transformations/aggregates/tripleexponentialderivative/
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tripleExponentialDerivative built-in-transformations
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technical analysis
/v2.0/reference/flux/stdlib/built-in/transformations/movingaverage/
/v2.0/reference/flux/stdlib/built-in/transformations/doubleema/
/v2.0/reference/flux/stdlib/built-in/transformations/tripleema/
/v2.0/reference/flux/stdlib/built-in/transformations/timedmovingaverage/
/v2.0/reference/flux/stdlib/built-in/transformations/exponentialmovingaverage/
https://docs.influxdata.com/influxdb/latest/query_language/functions/#triple-exponential-derivative, InfluxQL TRIPLE_EXPONENTIAL_DERIVATIVE()

The tripleExponentialDerivative() function calculates a triple exponential derivative (TRIX) of input tables using n points.

Function type: Transformation

tripleExponentialDerivative(n: 5)

Triple exponential derivative, commonly referred to as “TRIX,” is a momentum indicator and oscillator. A triple exponential derivative uses the natural logarithm (log) of input data to calculate a triple exponential moving average over the period of time. The calculation prevents cycles shorter than the defined period from being considered by the indicator. tripleExponentialDerivative() uses the time between n points to define the period.

Triple exponential derivative oscillates around a zero line. A positive momentum oscillator value indicates an overbought market; a negative value indicates an oversold market. A positive momentum indicator value indicates increasing momentum; a negative value indicates decreasing momentum.

Triple exponential moving average rules
  • A triple exponential derivative is defined as:
    • TRIX[i] = ((EMA3[i] / EMA3[i - 1]) - 1) * 100:
    • EMA_3 = EMA(EMA(EMA(data)))
  • If there are not enough values to calculate a triple exponential derivative, the output _value is NaN; all other columns are the same as the last record of the input table.
  • The function behaves the same way as the exponentialMovingAverage() function:
    • The function does not include null values in the calculation.
    • The function acts only on the _value column.

Parameters

n

The number of points to use in the calculation.

Data type: Integer

Examples

Calculate a five point triple exponential derivative

from(bucket: "example-bucket"):
  |> range(start: -12h)
  |> tripleExponentialDerivative(n: 5)