# Universe

## Example code

```python
from finter.data import ContentFactory

cf = ContentFactory("us_stock", 20200101, 20200201)
df = cf.get_df("constituent")
```

## Metadata

| Valid From | Delivery Schedule | Time Zone | Data Frequency |
| ---------- | ----------------- | --------- | -------------- |
| 1998-04-01 |                   |           | 1d             |

## Item List

* `constituent`: A binary dataset indicating whether a stock is part of the market composition on a given date.

**Dataset structure:**

* **Columns:** `gvkeyiid` (Unique stock identifier)
* **Values:**
  * `1`: Included in the market composition on the given date
  * `0`: Not included in the market composition on the given date

**Data generation process:**

* Selects the top 30% of stocks based on market capitalization
* Includes only stocks listed on NYSE and NASDAQ
* Incorporates delisting history to ensure validity


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://quantit.gitbook.io/quanda/us-stock/market/price-volume-1.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
