# Exponential Smoothing Dynamic (EXPSMOOTHINGDYNAMIC)

> QuantNexus indicator page for dynamic exponential smoothing.

**Route**: `/quantnexus/indicators/expsmoothingdynamic/`

## What It Does

EXPSMOOTHINGDYNAMIC adapts exponential smoothing behavior to changing conditions.

## Formula

`Dynamic smoothing = exponential smoothing with an adaptive response factor`

## Parameters

- `period` - default `14`

## C++23 API

```cpp
#include <nonabt/indicators/expsmoothingdynamic.hpp>
auto expsdyn = std::make_unique<nonabt::EXPSMOOTHINGDYNAMIC>(data().close(), 14);
```

## Common Usage

- Use it as an adaptive smoother.
- Combine it with trend filters.
- Helpful when market noise levels shift over time.

## Practical Pattern

Dynamic smoothing can be more responsive than static smoothing in uneven market conditions.