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# Fisher Transform

## Description

With distinct turning points and a rapid response time, the Fisher Transform uses the assumption that while prices do not have a normal or Gaussian probability density function (that familiar bell-shaped curve), you can create a nearly Gaussian probability density function by normalizing price (or an indicator such as **RSI**) and applying the Fisher Transform. Use the resulting peak swings to clearly identify price reversals.

## Syntax

`FisherTransform(int period)`

`FisherTransform(ISeries\<double\> input, int period)`

**Returns default value**

`FisherTransform(int period)[int barsAgo]`

`FisherTransform(ISeries\<double\> input, int period)[int barsAgo]`

## Return Value

**double;** Accessing this method via an index value `[int barsAgo]` returns the indicator value of the referenced bar.

## Parameters

| Parameter | Description                                                                                     |
| --------- | ----------------------------------------------------------------------------------------------- |
| input     | Indicator source data ([Series\<T>](/developer/desktop-sdk/references/common/iseriest/seriest)) |
| period    | Number of bars used in the calculation                                                          |

## Examples

```csharp
// Prints the current value of a 10 period using default (median) price type
double value = FisherTransform(10)[0];
Print("The current Fisher Transform value is " + value.ToString());
```

## Source Code

You can view this indicator method source code by selecting the menu New > NinjaScript Editor > Indicators within the NinjaTrader Control Center window.