---
url: /indicators/awesome.md
description: >-
  Created by Bill Williams, the Awesome Oscillator (AO), also known as Super AO,
  is a measure of the gap between a fast and slow period modified moving
  average.
package: FacioQuo.Stock.Indicators
docs_version: v3
canonical: https://dotnet.stockindicators.dev/indicators/awesome
generated: 2026-09-30T04:41:06.055Z
commit: ae1f432eaa0b03ae9f39e032c69434b557efa4a2
---

# Awesome Oscillator (AO)

Created by Bill Williams, the Awesome Oscillator (aka Super AO) is a measure of the gap between a fast and slow period modified moving average.
[\[Discuss\] 💬](https://github.com/facioquo/stock-indicators-dotnet/discussions/282 "Community discussion about this indicator")

```csharp
// C# usage syntax
IReadOnlyList<AwesomeResult> results =
  bars.ToAwesome(fastPeriods, slowPeriods);
```

## Parameters

| param | type | description |
| ----- | ---- | ----------- |
| `fastPeriods` | *`int`* | Number of periods (`F`) for the faster moving average.  Must be greater than 0.  Default is 5. |
| `slowPeriods` | *`int`* | Number of periods (`S`) for the slower moving average.  Must be greater than `fastPeriods`.  Default is 34. |

### Historical price bars requirements

You must have at least `S` periods of `bars` to cover the warmup periods.

`bars` is a collection of generic `TBar` historical price bars.  It should have a consistent frequency (day, hour, minute, etc).  See [the Guide](/guide/getting-started.md#historical-bars) for more information.

## Response

```csharp
IReadOnlyList<AwesomeResult>
```

* This method returns a time series of all available indicator values for the `bars` provided.
* It always returns the same number of elements as there are in the historical price bars.
* It does not return a single incremental indicator value.
* The first period `S-1` periods will have `null` values since there's not enough data to calculate.

### `AwesomeResult`

| property | type | description |
| -------- | ---- | ----------- |
| `Timestamp` | *`DateTime`* | Date from evaluated `TBar` |
| `Oscillator` | *`double`* | Awesome Oscillator |
| `Normalized` | *`double`* | `100 × Oscillator ÷ (median price)` |

### Utilities

* [.Condense()](/utilities/results.md#condense)
* [.Find(lookupDate)](/utilities/results.md#find-by-date)
* [.RemoveWarmupPeriods()](/utilities/results.md#remove-warmup-periods)
* [.RemoveWarmupPeriods(removePeriods)](/utilities/results.md#remove-warmup-periods)

See [Utilities and helpers](/utilities.md) for more information.

## Chaining

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

```csharp
// example
var results = bars
    .Use(CandlePart.HL2)
    .ToAwesome(..);
```

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

```csharp
// example
var results = bars
    .ToAwesome(..)
    .ToRsi(..);
```

See [Chaining indicators](/guide/chaining.md) for more.

## Streaming

Use the buffer-style `List<T>` when you need incremental calculations without a hub:

```csharp
AwesomeList awesomeList = new(fastPeriods, slowPeriods);

foreach (IBar bar in bars)  // simulating stream
{
  awesomeList.Add(bar);
}

// based on `ICollection<AwesomeResult>`
IReadOnlyList<AwesomeResult> results = awesomeList;
```

Subscribe to a `BarHub` for advanced streaming scenarios:

```csharp
BarHub barHub = new();
AwesomeHub observer = barHub.ToAwesomeHub(fastPeriods, slowPeriods);

foreach (IBar bar in bars)  // simulating stream
{
  barHub.Add(bar);
}

IReadOnlyList<AwesomeResult> results = observer.Results;
```

See [Buffer lists](/guide/styles/buffer.md) and [Stream hubs](/guide/styles/stream.md) for full usage guides.