> ## 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.

# Crossover

> systematica.signals.crossover

## `run_crossover_1d_nb`

```python theme={null}
run_crossover_1d_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 1-dimensional crossover trading signals.

Determines long and short entry/exit signals based on one-dimensional
crossover conditions.

**Parameters**:

| Name            | Type      | Default | Description                                  |
| --------------- | --------- | ------- | -------------------------------------------- |
| `model_output`  | `ndarray` | `--`    | A 1D array representing model predictions.   |
| `long_entries`  | `float`   | `--`    | Values for detecting long entry crossovers.  |
| `long_exits`    | `float`   | `--`    | Values for detecting long exit crossovers.   |
| `short_entries` | `float`   | `--`    | Values for detecting short entry crossovers. |
| `short_exits`   | `float`   | `--`    | Values for detecting short exit crossovers.  |

**Returns**:

| Type      | Description                                            |
| --------- | ------------------------------------------------------ |
| `Signals` | A `Signals` object containing crossover-based signals. |

## `run_crossover_nb`

```python theme={null}
run_crossover_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 2-dimensional crossover trading signals.

Determines long and short entry/exit signals based on two-dimensional
crossover conditions.

**Parameters**:

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

**Returns**:

| Type      | Description                                            |
| --------- | ------------------------------------------------------ |
| `Signals` | A `Signals` object containing crossover-based signals. |