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# Centralized Economic Data API
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![py_version ](https://img.shields.io/badge/python-3.6+-brightgreen )
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[![PyPI Version ](https://img.shields.io/pypi/v/CEDApy.svg )](https://pypi.org/project/CEDApy)
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[![DOI ](https://zenodo.org/badge/DOI/10.5281/zenodo.5229506.svg )](https://doi.org/10.5281/zenodo.5229506)
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## Introduction
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* "Centralized" means all-in-one, "all data" you need in one library
* "Economic data" means economic data :)
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### Economic Data
We have included multiple API for banks or statistics deparment of countries/region:
* North America:
- [x] `FredData` for [Fred Reserve Bank ](https://fred.stlouisfed.org/ )
* Europe:
- [x] `ECBData` for [European Central Bank ](https://www.ecb.europa.eu/home/html/index.en.html )
- [x] `EurostatData` for [European Statistics ](https://ec.europa.eu/eurostat )
* Asia:
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- [x] `NBSCData` for [National Bureau of Statistics of China ](http://www.stats.gov.cn/english/ )
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- [x] `XHData` for [Xinhua ](https://www.cnfin.com/data/macro-data/index.html )
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- [x] `BOJData` for [Bank of Japan ](https://www.boj.or.jp/en/index.htm/ )
### Market Data
We have two api for approaching the market data:
- [x] `marketwatch` for [MarketWatch ](https://www.marketwatch.com/ )
- [x] `dukascopy` for [Dukascopy Historial Data ](https://www.dukascopy.com/swiss/english/marketwatch/historical/ )
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*Recommandation is welcome! Tell us what data you need and we may put it into the to-do list :)*
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### Other
We also collect some interesting data which may useful in your reserach or project
- [x] `EPU` for [Economic Policy Uncertainty ](https://www.policyuncertainty.com/ ) and [Economic Policy Uncertainty in China ](https://economicpolicyuncertaintyinchina.weebly.com/ )
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## Installation
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Via the source code
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```shell
git clone https://github.com/TerenceLiu98/CEDApy.git
python setup.py install
```
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Via the `pypi` :
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```shell
python -m pip install CEDApy
```
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## How to use
Please check [Wiki ](https://github.com/TerenceLiu98/CEDApy/wiki )
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## Acknowledgement
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* [St.Louis Federal Reserve Bank ](https://fred.stlouisfed.org/ ), [Chicago Federal Reserve Bank ](https://www.chicagofed.org/ ), [Philadelphia Federal Reserve Bank ](https://www.philadelphiafed.org/ )
* [eurostat Economic Indicators ](https://ec.europa.eu/eurostat/cache/infographs/economy/desktop/index.html )
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* [Europen Central Bank ](https://www.ecb.europa.eu )
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* [National bureau of Statistics China ](http://www.stats.gov.cn/english/ )
* [Bank of Japan ](https://www.boj.or.jp/en/index.htm/ )
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* [MarketWatch ](https://www.marketwatch.com/ )
* [Dukascopy ](https://www.dukascopy.bank/swiss )
## Other Interesting Project
Here is a list for some related packages or tools that may help you finding the data you want:
* [akshare ](https://github.com/jindaxiang/akshare/ ) - an elegant and simple financial data interface library for Python, built for human beings
* [tushare ](https://github.com/waditu/tushare ) - a utility for crawling historial data of China stocks
* [investpy ](https://github.com/alvarobartt/investpy ) - Financial Data Extraction from Investing.com with Python
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## If you want to cite...
```txt
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@software {terencelau_2022_5915339,
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author = {TerenceLau},
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title = {TerenceLiu98/CEDApy: V0.3.0},
month = jan,
year = 2022,
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publisher = {Zenodo},
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version = {v0.3.0},
doi = {10.5281/zenodo.5915339},
url = {https://doi.org/10.5281/zenodo.5915339}
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}
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```