# US EWS Index

## Example code

```python
from finter.data import ContentFactory
cf = ContentFactory("us_stock", 20240101, 20240201)

# weekly
df = cf.get_df("SP500_EWS_origin_biz_news", freq="1W")

# monthly
df = cf.get_df("SP500_EWS_origin_biz_news", freq="1M")
```

## Metadata

| Valid From | Delivery Schedule | Time Zone  | Data Frequency |
| ---------- | ----------------- | ---------- | -------------- |
| 2008-02-01 | UTC 0 9 \* \* \*  | US/Eastern | 1W, 1M         |

## Item List

* weekly
  * `SP500_EWS_origin_biz_news`: Previous version of the weekly S\&P 500 EWS based on global sentiment time series index (post\_sarima\_sent\_biz\_news-1\_1-sum\_per)
  * `SP500_EWS_biz_news`: Latest version of the weekly S\&P 500 EWS based on global sentiment time series index (post\_sarima\_sent\_biz\_news-1\_2-sum\_sum)
* monthly
  * `SP500_EWS_origin_biz_news`: Previous version of the monthly S\&P 500 EWS based on global sentiment time series index (post\_sarima\_sent\_biz\_news-1\_1-sum\_per)
  * `SP500_EWS_biz_news`: Latest version of the monthly S\&P 500 EWS based on global sentiment time series index (post\_sarima\_sent\_biz\_news-1\_2-sum\_sum)
  * `us_tone_m3_EWS_compustat`: Monthly S\&P 500 EWS based on key term sentiment US sentiment index
  * `us_tone_m3_exp_EWS_compustat`: Monthly S\&P 500 EWS based on key term sentiment export US sentiment index


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