Kaufman Adaptive Moving Average (KAMA)

This API returns the Kaufman adaptive moving average (KAMA) values.

byAlpha Vantage (Market Data)

Related capabilities are temporarily unavailable. Try again later.

800+calls

N/Alatency

Updated: Oct 27, 2026, 12:40 AM

Continue setup in your AI

Only public catalog IDs and a safe return path are handed to the Plugins page. This does not run the tool or confirm current availability, authorization, price, limits, or upstream status; those conditions are checked again before execution.

Selected tool: alphavantage.kama.retrieve.v1.467a92c0
Provider scope: Alpha Vantage (Market Data)
Catalog updated: 2026-10-27T00:40:01.989419+00:00
Business task: Pending verification

Continue setupYou can return to this tool page if the selection is incomplete or expires.

Run on this page: Execute is the in-site test path. Continue setup is for adding the public selection to an external AI; the two paths are tracked and validated separately.

Discover -> Inspect -> Call

Call setup

Tool IDalphavantage.kama.retrieve.v1.467a92c0

Request parametersJSON

Before this Call

1 credit / call

The final charge is settled from actual provider usage and will appear in Usage.

Field reference

functionstringRequired

The technical indicator of your choice. In this case, function=KAMA

symbolstringRequired

The name of the ticker of your choice. For example: symbol=IBM

intervalstringRequired

Time interval between two consecutive data points in the time series. The following values are supported: 1min, 5min, 15min, 30min, 60min, daily, weekly, monthly

time_periodintegerRequired

Number of data points used to calculate each moving average value. Positive integers are accepted (e.g., time_period=60, time_period=200)

series_typestringRequired

The desired price type in the time series. Four types are supported: close, open, high, low

monthstringOptional

By default, this parameter is not set and the technical indicator values will be calculated based on the default length of the underlying intraday, daily, weekly, or monthly time series data. You can use the month parameter (in YYYY-MM format) to return technical indicators for a specific month in history. For example, month=2009-01.

datatypestringOptional

By default, datatype=json. Strings json and csv are accepted with the following specifications: json returns the daily time series in JSON format; csv returns the time series as a CSV (comma separated value) file.

Continue setup in your AI

Selected tool

alphavantage.kama.retrieve.v1.467a92c0

Provider scope

Alpha Vantage (Market Data)

Catalog updated

2026-10-27T00:40:01.989419+00:00

Business task

Pending verification

Continue setupYou can return to this tool page if the selection is incomplete or expires.