<a id="skfolio-datasets-load-ftse100-dataset"></a>

# skfolio.datasets.load_ftse100_dataset

<a id="skfolio.datasets.load_ftse100_dataset"></a>

### skfolio.datasets.load_ftse100_dataset(data_home=None, download_if_missing=True)

Load the prices of 64 assets from the FTSE 100 Index composition.

This dataset contains daily adjusted closing prices of 64 assets from the FTSE 100
Index, covering the period from 2000-01-04 up to 2023-05-31.
The data contains NaN.

#### CAUTION
This dataset is provided solely for testing and example purposes. It is a stale
dataset and does not reflect current or accurate market prices. It is not
intended for investment, trading, or commercial use and should not be relied
upon as authoritative market data.

| Observations   |   5960 |
|----------------|--------|
| Assets         |     64 |
* **Parameters:**
  **data_home** *str, optional*
  : Specify another download and cache folder for the datasets.
    By default, all skfolio data is stored in `~/skfolio_data` subfolders.

  **download_if_missing** *bool, default=True*
  : If False, raise an OSError if the data is not locally available
    instead of trying to download the data from the source site.
* **Returns:**
  **df** *DataFrame of shape (n_observations, n_assets)*
  : Prices DataFrame

### Examples

```pycon
>>> from skfolio.datasets import load_ftse100_dataset
>>> prices = load_ftse100_dataset()
>>> prices.head()
              AAL.L    ABF.L   AHT.L  ANTO.L  ...   VOD.L   WEIR.L    WPP.L    WTB.L
Date                                          ...
2000-01-04  535.354  205.926  97.590  40.313  ...  72.562  115.240  512.249  382.907
2000-01-05  540.039  209.185  96.729  40.313  ...  69.042  118.483  462.080  381.972
2000-01-06  553.289  229.048  95.581  40.452  ...  66.950  124.220  458.119  386.337
2000-01-07  572.829  222.220  95.581  40.452  ...  70.716  121.725  475.283  405.046
2000-01-10  578.852  224.548  92.711  40.685  ...  74.285  121.476  498.254  392.885

[5 rows x 64 columns]
```