# Company Status

## Example code

```python
from finter.data import ContentFactory

cf = ContentFactory("kr_stock", 20200101, 20200201)
df = cf.get_df("overheating")
```

## Metadata

| Valid From | Delivery Schedule   | Time Zone  | Data Frequency |
| ---------- | ------------------- | ---------- | -------------- |
| 2000-01-01 | KST 20 23 \* \* 1-5 | Asia/Seoul | 1d             |

## Item List

### Company Status

* `market`: General market-related status updates. (1: KS, 2: KQ)
* `liquidation`: Information about liquidation trading (1: applicable, 0: normal).
* `unreliable`: Data on unreliable public disclosure companies (1: applicable, 0: not applicable).
* `abnormal`: Details on abnormal surge stocks (1: applicable, 0: not applicable).
* `overheating`: Information on short-term overheating stocks (0: not applicable, 1: designation notice, 2: designated, 3: designation extended).
* `borrowing`: Data on borrowing short-selling overheating stocks (1: applicable, 0: not applicable).
* `illiquid`: Information on low liquidity stocks (1: applicable, 0: not applicable).
* `caution`: Alerts and warnings issued for particular stocks (1: caution, 0: normal).
* `alert`: Investment warning classification for stocks (1: applicable, 0: not applicable).
* `administration`: Information on administrative decisions affecting stocks (1: administrative, 0: normal).
* `suspension`: Notices of temporary halts in trading for certain stocks (1: suspended, 0: normal).
* `list_yn` : Indicates whether the stock is listed (1: listed, NaN: delisted)