- "Centralized" means all-in-one, "all data" you need in one library
- "Economic data" means economic data :)
We have included multiple API for banks or statistics deparment of countries/region:
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North America:
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FredDatafor Fred Reserve Bank
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Europe:
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ECBDatafor European Central Bank -
EurostatDatafor European Statistics
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Asia:
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NBSCDatafor National Bureau of Statistics of China -
XHDatafor Xinhua -
BOJDatafor Bank of Japan
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We have two api for approaching the market data:
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marketwatchfor MarketWatch -
dukascopyfor Dukascopy Historial Data
Recommandation is welcome! Tell us what data you need and we may put it into the to-do list :)
We also collect some interesting data which may useful in your reserach or project
Via the source code
git clone https://github.com/TerenceLiu98/CEDApy.git
python setup.py installVia the pypi:
python -m pip install CEDApyPlease check Wiki
- St.Louis Federal Reserve Bank, Chicago Federal Reserve Bank, Philadelphia Federal Reserve Bank
- eurostat Economic Indicators
- Europen Central Bank
- National bureau of Statistics China
- Bank of Japan
- MarketWatch
- Dukascopy
Here is a list for some related packages or tools that may help you finding the data you want:
- akshare - an elegant and simple financial data interface library for Python, built for human beings
- tushare - a utility for crawling historial data of China stocks
- investpy - Financial Data Extraction from Investing.com with Python
@software{terencelau_2022_6459976,
author = {TerenceLau},
title = {TerenceLiu98/CEDApy: V0.3.6},
month = apr,
year = 2022,
publisher = {Zenodo},
version = {v0.3.6},
doi = {10.5281/zenodo.6459976},
url = {https://doi.org/10.5281/zenodo.6459976}
}