# {py:mod}`market_analysis.asset`

```{py:module} market_analysis.asset
```

```{autodoc2-docstring} market_analysis.asset
:allowtitles:
```

## Module Contents

### Classes

````{list-table}
:class: autosummary longtable
:align: left

* - {py:obj}`Asset <market_analysis.asset.Asset>`
  - ```{autodoc2-docstring} market_analysis.asset.Asset
    :summary:
    ```
````

### API

`````{py:class} Asset(ticker: str, label: str, cache_manager: market_analysis.cachemanager.CacheManager)
:canonical: market_analysis.asset.Asset

```{autodoc2-docstring} market_analysis.asset.Asset
```

```{rubric} Initialization
```

```{autodoc2-docstring} market_analysis.asset.Asset.__init__
```

````{py:method} fetch() -> pandas.DataFrame | None
:canonical: market_analysis.asset.Asset.fetch

```{autodoc2-docstring} market_analysis.asset.Asset.fetch
```

````

````{py:method} print_asset_stats(start_date: pandas._typing.TimestampConvertibleTypes, end_date: pandas._typing.TimestampConvertibleTypes, frequency: str = 'D') -> None
:canonical: market_analysis.asset.Asset.print_asset_stats

```{autodoc2-docstring} market_analysis.asset.Asset.print_asset_stats
```

````

````{py:method} plot_asset_stats(start_date: pandas._typing.TimestampConvertibleTypes, end_date: pandas._typing.TimestampConvertibleTypes, frequency: str = 'D', log_price: bool = False, sharpe_window: int = 63, risk_free_rate: float = 0.0, figsize: tuple[float, float] = (10, 10), save_path: str | None = None) -> None
:canonical: market_analysis.asset.Asset.plot_asset_stats

```{autodoc2-docstring} market_analysis.asset.Asset.plot_asset_stats
```

````

`````