CEDApy 0.3.6

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Centralized Economic Data API

Introduction

• "Centralized" means all-in-one, "all data" you need in one library
• "Economic data" means economic data :)

Economic Data

We have included multiple API for banks or statistics deparment of countries/region:

• North America:

  • FredData for Fred Reserve Bank

• Europe:

  • ECBData for European Central Bank
  • EurostatData for European Statistics

• Asia:

  • NBSCData for National Bureau of Statistics of China
  • XHData for Xinhua
  • BOJData for Bank of Japan

Market Data

We have two api for approaching the market data:

• marketwatch for MarketWatch
• dukascopy for Dukascopy Historial Data

Recommandation is welcome! Tell us what data you need and we may put it into the to-do list :)

Other

We also collect some interesting data which may useful in your reserach or project

• EPU for Economic Policy Uncertainty and Economic Policy Uncertainty in China

Installation

Via the source code

git clone https://github.com/TerenceLiu98/CEDApy.git
python setup.py install

Via the pypi:

python -m pip install CEDApy

How to use

Please check Wiki

Acknowledgement

• 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

Other Interesting Project

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

If you want to cite...

@software{terencelau_2022_5915339,
  author       = {TerenceLau},
  title        = {TerenceLiu98/CEDApy: V0.3.0},
  month        = jan,
  year         = 2022,
  publisher    = {Zenodo},
  version      = {v0.3.0},
  doi          = {10.5281/zenodo.5915339},
  url          = {https://doi.org/10.5281/zenodo.5915339}
}