# Korea Sentiment Index

## Example code

```python
from finter.data import ContentFactory
cf = ContentFactory("kr_stock", 20240101, 20240201)
df = cf.get_df("korea_tone")
```

## Metadata

| Valid From | Delivery Schedule  | Time Zone  | Data Frequency |
| ---------- | ------------------ | ---------- | -------------- |
| 2005-01-02 | UTC 30 21 \* \* \* | Asia/Seoul | 1d             |

## Item List

### Sentiment and Tone Metrics

* `korea_tone`: Korean Sentiment Tone Index
* `korea_tone_neutral`: Korean Sentiment Neutral Index (Valid From: 2020-10-21)
* `korea_tone_SP500`: English Sentiment Tone Index on Korea (Valid To: 2021-07-31)


---

# 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/kr-stock/unstructured/ews-early-warning-signal/korea-sentiment-index.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.