> ## Documentation Index
> Fetch the complete documentation index at: https://systematica.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Cross Spread

> systematica.signals.cross_spread

## `run_cross_spread_nb`

```python theme={null}
run_cross_spread_nb(
    model_output: numpy.ndarray,
    long_entries: float,
    long_exits: float,
    short_entries: float,
    short_exits: float,
    clean: bool = True,
) ‑> systematica.signals.base.Signals
```

Compute trading signals using a mixed crossover and spread strategy.

This function combines crossover-based signals with spread-based signals
for enhanced signal generation.

**Parameters**:

| Name            | Type      | Default | Description                                  |
| --------------- | --------- | ------- | -------------------------------------------- |
| `model_output`  | `ndarray` | `--`    | A 2D array representing model predictions.   |
| `long_entries`  | `float`   | `--`    | Values for detecting long entry conditions.  |
| `long_exits`    | `float`   | `--`    | Values for detecting long exit conditions.   |
| `short_entries` | `float`   | `--`    | Values for detecting short entry conditions. |
| `short_exits`   | `float`   | `--`    | Values for detecting short exit conditions.  |
| `clean`         | `bool`    | `to`    | `True` Clean signals. Defaults to `True`.    |

**Returns**:

| Type      | Description                                           |
| --------- | ----------------------------------------------------- |
| `Signals` | A `Signals` object containing mixed strategy signals. |