# OLS Beta N (OLS_BETAN)

> QuantNexus indicator page for rolling regression beta.

**Route**: `/quantnexus/indicators/ols-betan/`

## What It Does

OLS_BETAN estimates a rolling ordinary least squares beta value for the input series.

## Formula

`beta = covariance(y, x) / variance(x)` over the selected window, using the series' rolling regression context.

## Parameters

- `period` - default `10`

## C++23 API

```cpp
#include <nonabt/indicators/ols_betan.hpp>
auto beta = std::make_unique<nonabt::OLS_BETAN>(data().close(), 10);
```

## Common Usage

- Use it to evaluate relative sensitivity in a rolling fit.
- Treat it as an analysis tool rather than a direct entry trigger.
- Pair it with slope or transformation outputs if you need richer regression context.