Double Exponential Moving Average (DEMA)
Created by Patrick G. Mulloy, the Double exponential moving average is a faster smoothed EMA of the price over a lookback window. [Discuss] 💬

// C# usage syntax
IEnumerable<DemaResult> results =
quotes.GetDema(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 3×N or 2×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 2×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<DemaResult>
- This method returns a time series of all available indicator values for the
quotesprovided. - 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-1periods will havenullvalues since there’s not enough data to calculate.
âšž Convergence warning: The first
2×N+100periods will have decreasing magnitude, convergence-related precision errors that can be as high as ~5% deviation in indicator values for earlier periods.
DemaResult
Date DateTime - Date from evaluated TQuote
Dema double - Double 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)
.GetDema(..);
Results can be further processed on Dema with additional chain-enabled indicators.
// example
var results = quotes
.GetDema(..)
.GetRsi(..);