> For the complete documentation index, see [llms.txt](https://quantit.gitbook.io/quanda/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://quantit.gitbook.io/quanda/crypto-spot/market/price-volume.md).

# Price Volume

## Summary

This data catalog provides comprehensive information on stock prices and trading volumes.

## Example code

```python
from finter.data import ContentFactory
cf = ContentFactory("crypto_spot", 202409010000, 202409012359)
df = cf.get_df("usdt-price_close", columns=['BTCUSDT'])
```

## Metadata

| Valid From | Delivery Schedule | Time Zone | Data Frequency |
| ---------- | ----------------- | --------- | -------------- |
| 2024-07-01 | UTC+0 7:30        | UTC+0     | 1T             |

## Item List

### Price Data

* usdt-price\_close
* usdt-price\_high
* usdt-price\_low
* usdt-price\_open
* usdc-price\_close
* usdc-price\_high
* usdc-price\_low
* usdc-price\_open
* btc-price\_close
* btc-price\_high
* btc-price\_low
* btc-price\_open

### Trading Data

* usdt-volume\_sum
* usdt-quote\_asset\_volume
* usdc-volume\_sum
* usdc-quote\_asset\_volume
* btc-volume\_sum
* btc-quote\_asset\_volume

{% hint style="warning" %}
**Note**

Since the data frequency of the crypto spot price-volume cm is 1T, it's larger than the usual 1d cm. 

Loading all columns is manageable within a one-year range; however, for data beyond one year, please ensure to use the `columns` parameter when loading cm. 

The raw data is partitioned by one-year intervals.
{% endhint %}