# bottom\_n\_assets

### **Description**

This function identifies the `n` assets with the lowest returns over a specified period. It is designed to provide insights into the underperforming assets within a particular model identified by `position`.

### **Parameters**

* `position` (str): The name of the model to analyze.
* `n` (int): The number of assets to return, based on their low returns.
* `start` (int, optional): The start date of the analysis period, formatted as YYYYMMDD.
* `end` (int, optional): The end date of the analysis period, formatted as YYYYMMDD.

### **Returns**

* `pd.DataFrame`: A DataFrame containing the bottom `n` assets, sorted by their returns in ascending order. It includes their returns and entity names.

### **Example**

```python
bottom_assets_df = Evaluator.bottom_n_assets('ModelName', 5, 20210101, 20211231)
```
