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] 💬
// 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 4×N
or 3×N+100
periods of quotes
, whichever is more, to cover the warmup and convergence periods. Since this uses a smoothing technique, we recommend you use at least 3×N+250
data points prior to the intended usage date for better precision.
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>
- This method returns a time series of all available indicator values for the
quotes
provided. - It always returns the same number of elements as there are in the historical quotes.
- It does not return a single incremental indicator value.
- The first
N-1
periods will havenull
values since there’s not enough data to calculate. Also note that we are using the proper weighted variant for TEMA. If you prefer the unweighted raw 3 EMAs value, please use theEma3
output from the TRIX oscillator instead.
âšž 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.
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(..);