# Price Volume

## Example code

```python
from finter.data import ContentFactory

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

## Metadata

| Valid From | Delivery Schedule | Time Zone | Data Frequency |
| ---------- | ----------------- | --------- | -------------- |
|            |                   |           |                |

## Item List

### Price Data

* `price_close`: Closing price 
* `price_base`: Base price
* `price_open`: Opening price
* `price_high`: Highest price
* `price_low`: Lowest price

### Volume Data

* `volume_sum`: Total volume 
* `turnover`: Turnover
* `turnover_all`: Total turnover

### Shares Data

* `listed_shares`: Number of listed shares
* `listed_shares_to_be`: Number of shares to be listed
* `treasury_stock`: Treasury stock
* `foreigner_shares`: Number of shares held by foreigners
* `foreigner_shares_ratio`: Ratio of shares held by foreigners

### Market Capitalization

* `mkt_cap`: Market capitalization
* `mkt_cap_all`: Total market capitalization
* `mkt_cap_index`: Market capitalization index
* `free_float`: Free float shares

### Short Selling Data

* `short_selling_volume`: Short selling volume
* `short_selling_turnover`: Short selling turnover

### Securities Lending and Borrowing (SLB)

* `slb_new_loan`: New SLB loans
* `slb_repay`: SLB repayments
* `slb_balance_volume`: SLB balance volume
* `slb_balance_amount`: SLB balance amount