cITMre


NamecITMre JSON
Version 0.1.0 PyPI version JSON
download
home_pagehttps://sergiofinances.github.io/citmre_development_python/
SummaryThe Colombian Index Tool (Market Rate Exchange) package downloads the Colombian Market Rate from the source: Portal de Datos Abiertos <www.datos.gov.co>
upload_time2024-04-19 17:20:58
maintainerNone
docs_urlNone
author['Sergio Andrés Sierra Luján', 'David Esteban Rodríguez Guevara']
requires_pythonNone
licenseMIT
keywords finances econometric stochastic processes
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # cITMre

The Colombian Index Tool (Market Rate Exchange) package downloads the 
Colombian Market Rate from the source:
<https://www.datos.gov.co/Econom-a-y-Finanzas/TRM/ceyp-9c7c/data>

[<img src="https://i.imgur.com/P1nQftf.png" width="100">](https://sergiofinances.github.io/citmre_development_python/)

You can view all the package information at the following link
[cITMRE Web Page](https://sergiofinances.github.io/citmre_development_python/)

## Example

```bash
pip install cITMre=0.1.0
from citmre.citmre_fun import rmre_data

# Show full series dataset
rmre_serie = rmre_data()

# Show monthly dataset with Plotly Graph
rmre_splited = rmre_data(frequency=12, log_return=False, plot_data=True)

# Show quaterly log_return dataset with Plotly Graph
rmre_splited = rmre_data(frequency=4, log_return=True, plot_data=True, type="mean")

# Show splited log return dataset
rmre_splited = rmre_data('2000-01-01','2023-12-31', log_return=True)
#> "Warning: The information will be obtained from the next business day, as the desired date is a holiday or weekend."
```
<img src="https://i.imgur.com/0M3MYUB.png" alt="Example Image" style="width: 1000px; height: 360px;">

## References

Source: Portal de Datos Abiertos \<www.datos.gov.co\>

            

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