# Adaptive Moving Average (KAMA)

> QuantNexus indicator page for the KAMA adaptive trend line.

**Route**: `/quantnexus/indicators/kama/`

## What It Does

KAMA adapts its smoothing behavior to market efficiency. It reacts faster in directional moves and slows down in noisy conditions.

## Formula

KAMA uses an efficiency ratio and a volatility-adjusted smoothing constant to adapt the moving average to market conditions.

## Parameters

- `period` - default `30`
- `fast` - default `2`
- `slow` - default `30`

## C++23 API

```cpp
#include <nonabt/indicators/kama.hpp>
auto kama = std::make_unique<nonabt::KAMA>(data().close(), 30, 2, 30);
```

## Common Usage

- Use KAMA as a regime-aware trend line.
- Combine it with price crossovers or slope filters.
- Useful when the market alternates between trending and noisy phases.

## Practical Pattern

Use KAMA when you want one line that automatically becomes more responsive in clean trends and more conservative in chop.