# 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] ðŸ’¬

```
// 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 `3Ã—N`

or `2Ã—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 `2Ã—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
`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 have`null`

values since thereâ€™s not enough data to calculate.

âšž

Convergence warning: The first`2Ã—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.

### 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(..);
```