# Exponential Smoothing (EXPSMOOTHING)

> QuantNexus indicator page for exponential smoothing.

**Route**: `/quantnexus/indicators/expsmoothing/`

## What It Does

EXPSMOOTHING applies exponential smoothing to reduce noise while keeping recent values more important than older ones.

## Formula

`Smoothed = alpha * current + (1 - alpha) * previous_smoothed`

## Parameters

- `period` - default `14`

## C++23 API

```cpp
#include <nonabt/indicators/expsmoothing.hpp>
auto exps = std::make_unique<nonabt::EXPSMOOTHING>(data().close(), 14);
```

## Common Usage

- Use it to smooth noisy series.
- Combine it with thresholds or trend rules.
- Useful as a preprocessing step.

## Practical Pattern

The smoothed line is often more stable than raw price when you need cleaner signal generation.