Documentation

relativeStrengthIndex() function

relativeStrengthIndex() measures the relative speed and change of values in input tables.

Relative strength index (RSI) rules

  • The general equation for calculating a relative strength index (RSI) is RSI = 100 - (100 / (1 + (AVG GAIN / AVG LOSS))).
  • For the first value of the RSI, AVG GAIN and AVG LOSS are averages of the n period.
  • For subsequent calculations:
    • AVG GAIN = ((PREVIOUS AVG GAIN) * (n - 1)) / n
    • AVG LOSS = ((PREVIOUS AVG LOSS) * (n - 1)) / n
  • relativeStrengthIndex() ignores null values.

Output tables

For each input table with x rows, relativeStrengthIndex() outputs a table with x - n rows.

Function type signature
(<-tables: stream[A], n: int, ?columns: [string]) => stream[B] where A: Record, B: Record

For more information, see Function type signatures.

Parameters

n

(Required) Number of values to use to calculate the RSI.

columns

Columns to operate on. Default is ["_value"].

tables

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

Examples

Calculate a three point relative strength index

import "sampledata"

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

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

InfluxDB 3 Open Source Now in Public Alpha

InfluxDB 3 Open Source is now available for alpha testing, licensed under MIT or Apache 2 licensing.

We are releasing two products as part of the alpha.

InfluxDB 3 Core, is our new open source product. It is a recent-data engine for time series and event data. InfluxDB 3 Enterprise is a commercial version that builds on Core’s foundation, adding historical query capability, read replicas, high availability, scalability, and fine-grained security.

For more information on how to get started, check out: