93 lines
3.3 KiB
Markdown
93 lines
3.3 KiB
Markdown
# Centralized Economic Data API
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[](https://pypi.org/project/CEDApy)
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[](https://zenodo.org/record/6459976)
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## Introduction
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* "Centralized" means all-in-one, "all data" you need in one library
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* "Economic data" means economic data :)
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### Economic Data
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We have included multiple API for banks or statistics deparment of countries/region:
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* North America:
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- [x] `FredData` for [Fred Reserve Bank](https://fred.stlouisfed.org/)
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* Europe:
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- [x] `ECBData` for [European Central Bank](https://www.ecb.europa.eu/home/html/index.en.html)
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- [x] `EurostatData` for [European Statistics](https://ec.europa.eu/eurostat)
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* 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/)
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### Market Data
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We have two api for approaching the market data:
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- [x] `marketwatch` for [MarketWatch](https://www.marketwatch.com/)
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- [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
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We also collect some interesting data which may useful in your reserach or project
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- [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
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git clone https://github.com/TerenceLiu98/CEDApy.git
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python setup.py install
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```
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Via the `pypi`:
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```shell
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python -m pip install CEDApy
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```
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## How to use
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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/)
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* [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/)
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* [Bank of Japan](https://www.boj.or.jp/en/index.htm/)
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* [MarketWatch](https://www.marketwatch.com/)
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* [Dukascopy](https://www.dukascopy.bank/swiss)
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## Other Interesting Project
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Here is a list for some related packages or tools that may help you finding the data you want:
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* [akshare](https://github.com/jindaxiang/akshare/) - an elegant and simple financial data interface library for Python, built for human beings
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* [tushare](https://github.com/waditu/tushare) - a utility for crawling historial data of China stocks
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* [investpy](https://github.com/alvarobartt/investpy) - Financial Data Extraction from Investing.com with Python
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## If you want to cite...
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```txt
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@software{terencelau_2022_6459976,
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author = {TerenceLau},
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title = {TerenceLiu98/CEDApy: V0.3.6},
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month = apr,
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year = 2022,
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publisher = {Zenodo},
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version = {v0.3.6},
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doi = {10.5281/zenodo.6459976},
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url = {https://doi.org/10.5281/zenodo.6459976}
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}
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```
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