MESA Adaptive Moving Average (MAMA)

Created by John Ehlers, the MAMA indicator is a 5-period adaptive moving average of high/low price that uses classic electrical radio-frequency signal processing algorithms to reduce noise. [Discuss] 💬

chart for MESA Adaptive Moving Average (MAMA)

// C# usage syntax
IEnumerable<MamaResult> results =
  quotes.GetMama(fastLimit, slowLimit);


fastLimit double - Fast limit threshold. Must be greater than slowLimit and less than 1. Default is 0.5.

slowLimit double - Slow limit threshold. Must be greater than 0. Default is 0.05.

Historical quotes requirements

You must have at least 50 periods of quotes to cover the warmup periods.

quotes is a collection of generic TQuote historical price quotes. It should have a consistent frequency (day, hour, minute, etc). See the Guide for more information.



Convergence warning: The first 50 periods will have decreasing magnitude, convergence-related precision errors that can be as high as ~5% deviation in indicator values for earlier periods.


Date DateTime - Date from evaluated TQuote

Mama decimal - MESA adaptive moving average (MAMA)

Fama decimal - Following adaptive moving average (FAMA)


See Utilities and helpers for more information.


This indicator may be generated from any chain-enabled indicator or method.

// example
var results = quotes

Results can be further processed on Mama with additional chain-enabled indicators.

// example
var results = quotes