# Price Volume

## Example code

```python
from finter.data import ContentFactory

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

## Metadata

| Valid From | Delivery Schedule | Time Zone | Data Frequency |
| ---------- | ----------------- | --------- | -------------- |
| 1983-12-30 |                   |           | 1d             |

## Item List

### Price Data

* `price_close`: Closing price&#x20;
* `price_high`: Base price
* `price_open`: Opening price
* `price_low`: Highest price

### Volume Data

* `trading_volume`: Total volume&#x20;

### Shares Data

* `shares_outstanding`: Number of listed shares

### Dividend Data

* `indicated_annual_dividend`: Indicated annual dividend

### Earnings Data

* `eps`: Earnings per share (EPS)

### Additional Data

* `amount`: Amount
* `ctoc`: Daily CtoC (close-to-close) return
* `ctoc_total`: Total CtoC (close-to-close) return (dividend applied)
