# Smoothed Moving Average (SMMA)

> QuantNexus indicator page for Wilder-style smoothing.

**Route**: `/quantnexus/indicators/smma/`

## What It Does

SMMA smooths price with a Wilder-style recursive average that reacts more slowly than EMA.

## Formula

`SMMA = (previous SMMA * (n - 1) + current price) / n`

## Parameters

- `period` - default `30`

## C++23 API

```cpp
#include <nonabt/indicators/smma.hpp>
auto smma = std::make_unique<nonabt::SMMA>(data().close(), 30);
```

## Common Usage

- Use SMMA as a slower, smoother trend baseline.
- Pair it with price crossovers or envelope-style bands.
- Helpful when you want more lag reduction than SMA but less noise than raw price.