# Market Status (Python SDK)

Retrieve market status information (open/closed) for dates and countries.

## Making Requests

Use the `status()` method on the `markets` resource to fetch market status information. The method supports multiple output formats:

| Output Format | Return Type                                               | Description                                                                                                                                               |
|---------------|-----------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|
| **DATAFRAME** | `pandas.DataFrame` or `polars.DataFrame`                  | Returns a DataFrame with market status data (default).                                                                                                    |
| **INTERNAL**  | `list[MarketStatus]` or `list[MarketStatusHumanReadable]` | Returns a list of MarketStatus objects. When `use_human_readable=True`, returns a list of MarketStatusHumanReadable objects with capitalized field names. |
| **JSON**      | `dict`                                                    | Returns the raw JSON response as a dictionary.                                                                                                            |
| **CSV**       | `str`                                                     | Writes CSV data to file and returns the filename string.                                                                                                  |

<a name="status"></a>
## status

```python
def status(
    *,
    date: str | datetime.datetime = None,
    from_date: str | datetime.datetime = None,
    to_date: str | datetime.datetime = None,
    countback: int = None,
    country: str = None,
    output_format: OutputFormat = OutputFormat.DATAFRAME,
    date_format: DateFormat = None,
    columns: list[str] = None,
    add_headers: bool = None,
    use_human_readable: bool = False,
    mode: Mode = None,
    filename: str | Path = None,
) -> list[MarketStatus] | list[MarketStatusHumanReadable] | dict | str | MarketDataClientErrorResult
```

Fetches market status information for specified dates and countries. All parameters must be keyword-only.

### Parameters

- `date` (str | datetime.datetime, optional)

  Specific date for the market status.

- `from_date` (str | datetime.datetime, optional)

  Start date for the date range.

- `to_date` (str | datetime.datetime, optional)

  End date for the date range.

- `countback` (int, optional)

  Number of days to return, counting backwards from the `to_date`.

- `country` (str, optional)

  Filter by country code (e.g., "US", "CA", "GB").

- `output_format` ([OutputFormat](https://www.marketdata.app/docs/sdk/py/settings#output-format), optional)

  The format of the returned data. Defaults to `OutputFormat.DATAFRAME`. See [Settings](https://www.marketdata.app/docs/sdk/py/settings) for details.

- `date_format` ([DateFormat](https://www.marketdata.app/docs/sdk/py/settings#date-format), optional)

  The date format to use in the response. Defaults to `DateFormat.UNIX`. See [Settings](https://www.marketdata.app/docs/sdk/py/settings) for details.

- [`columns`](https://www.marketdata.app/docs/sdk/py/settings#columns) (optional)

  Specify which columns to include in the response. See [Settings](https://www.marketdata.app/docs/sdk/py/settings) for details.

- [`add_headers`](https://www.marketdata.app/docs/sdk/py/settings#headers) (optional)

  Whether to include headers in the response. See [Settings](https://www.marketdata.app/docs/sdk/py/settings) for details.

- [`use_human_readable`](https://www.marketdata.app/docs/sdk/py/settings#human-readable) (optional)

  Whether to use human-readable format for values. Only applies when `output_format=OutputFormat.INTERNAL`. See [Settings](https://www.marketdata.app/docs/sdk/py/settings) for details.

- `mode` ([Mode](https://www.marketdata.app/docs/sdk/py/settings#data-mode), optional)

  The data mode to use. See [Settings](https://www.marketdata.app/docs/sdk/py/settings) for details.

- `filename` (str | Path, optional)

  File path for CSV output (only used with `output_format=OutputFormat.CSV`).

### Returns

- `list[MarketStatus]` | `list[MarketStatusHumanReadable]` | `dict` | `str` | `MarketDataClientErrorResult`

  The market status data in the requested format, or a `MarketDataClientErrorResult` if an error occurred.

### Notes

- All parameters must be keyword-only (no positional arguments).
- When using `countback`, it counts backwards from `to_date` or the current date if `to_date` is not provided.

### Example (DataFrame)

```python
from marketdata import MarketDataClient

client = MarketDataClient()

# Get market status as DataFrame (default)
# All parameters must be keyword-only
df = client.markets.status(countback=7)

# Get market status for a specific date
df = client.markets.status(date="2023-01-01")

# Get market status for a date range
df = client.markets.status(
    from_date="2023-01-01",
    to_date="2023-01-31",
    country="US"
)

print(df)
```

### Example (Internal)

```python
from marketdata import MarketDataClient, OutputFormat

client = MarketDataClient()

# Get market status as internal objects
status_list = client.markets.status(
    countback=7,
    output_format=OutputFormat.INTERNAL
)

# Access individual status properties
for status in status_list:
    print(f"Date: {status.date}")
    print(f"Status: {status.status}")
```

### Example (JSON)

```python
from marketdata import MarketDataClient, OutputFormat

client = MarketDataClient()

# Get market status as JSON
status = client.markets.status(
    countback=7,
    output_format=OutputFormat.JSON
)

print(status)
```

### Example (CSV)

```python
from marketdata import MarketDataClient, OutputFormat
from pathlib import Path

client = MarketDataClient()

# Get market status as CSV
csv_file = client.markets.status(
    countback=7,
    output_format=OutputFormat.CSV,
    filename=Path("market_status.csv")
)

print(f"CSV file saved to: {csv_file}")
```

### Example (Human Readable)

```python
from marketdata import MarketDataClient, OutputFormat

client = MarketDataClient()

# Get market status in human-readable format
status_list = client.markets.status(
    countback=7,
    output_format=OutputFormat.INTERNAL,
    use_human_readable=True
)

# Access individual status properties
for status in status_list:
    print(f"Status: {status.Status}")
    print(f"Date: {status.Date}")
```

<a name="MarketStatus"></a>
## MarketStatus

```python
@dataclass
class MarketStatus:
    date: datetime.date
    status: str
```

MarketStatus represents market status information for a specific date, indicating whether the market is open or closed.

### Properties

- `date` (datetime.date): The date for which the market status applies (automatically converted from timestamp).
- `status` (str): The market status (e.g., "open", "closed").

### Notes

- The `date` field is automatically converted to a `datetime.date` object from a Unix timestamp.

<a name="MarketStatusHumanReadable"></a>
## MarketStatusHumanReadable

```python
@dataclass
class MarketStatusHumanReadable:
    Status: str
    Date: datetime.datetime
```

MarketStatusHumanReadable represents market status information in human-readable format with capitalized field names and formatted values.

### Properties

- `Status` (str): The market status (e.g., "open", "closed").
- `Date` (datetime.datetime): The date for which the market status applies (automatically converted from timestamp).

### Notes

- The `Date` field is automatically converted to a `datetime.datetime` object from a Unix timestamp.
- Field names use capitalized format (e.g., `Date` instead of `date`, `Status` instead of `status`).