Triple Exponential Moving Average (TEMA)

Created by Patrick G. Mulloy, the Triple exponential moving average is a faster multi-smoothed EMA of the price over a lookback window. [Discuss] 💬

chart for Triple Exponential Moving Average (TEMA)

// C# usage syntax
IEnumerable<TemaResult> results =
  quotes.GetTema(lookbackPeriods);

Parameters

lookbackPeriods int - Number of periods (N) in the moving average. Must be greater than 0.

Historical quotes requirements

You must have at least N periods of quotes to produce any TEMA values. However, due to the nature of the smoothing technique, we recommend you use at least 3×N+250 data points prior to the intended usage date for better precision. See warmup and convergence guidance for more information.

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.

Response

IEnumerable<TemaResult>

Example for TEMA(20):

Period 1-19:  null values (incalculable)
Period 20:    first TEMA value (may have convergence issues)
Period 160+:  fully converged, reliable values

ⓘ Incalculable periods: The first N-1 periods will have null values since there’s not enough data to calculate.

⚞ Convergence warning: The first 3×N+100 periods will have decreasing magnitude, convergence-related precision errors that can be as high as ~5% deviation in indicator values for earlier periods. Use the .RemoveWarmupPeriods() method to remove these potentially unreliable values.

TemaResult

Date DateTime - Date from evaluated TQuote

Tema double - Triple exponential moving average

Utilities

See Utilities and helpers for more information.

Chaining

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

// example
var results = quotes
    .Use(CandlePart.HL2)
    .GetTema(..);

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

// example
var results = quotes
    .GetTema(..)
    .GetRsi(..);