lcsrodriguez / ecocal

Worldwide economic calendar Python package (details, estimates, market news, ...)

Economic Calendar

 

 

Overview

ecocal is a light-weight and easy-to-user Python package allowing every developer to retrieve full access to both historical and future insightful and hifhly-detailed economic calendar (worldwide scale).

---

DISCLAIMER:

• Data extracted from external providers. No warranty on data quality/accuracy.
• Data provided AS IS for information purpose only.

Getting started

Install from PyPI:

1. Install ecocal package

   pip3 install ecocal

2. Execute the example code

   from ecocal import *
   
   
   def main() -> None:
      ec = Calendar(startHorizon="2023-10-26",
                    endHorizon="2023-11-30",
                    withDetails=True,
                    nbThreads=20,
                    preBuildCalendar=True,
                    )
      print(ec)
      # On-disk saving of detailed calendar
      ec.saveCalendar()
   
   if __name__ == "__main__":
      main()

   Code available using:
   • python examples/main.py
   • jupyter-notebook examples/main.ipynb (dynamic debugging)

Install from source

1. Clone the repository:

   git clone https://github.com/lcsrodriguez/ecocal.git
   cd ecocal/

2. Create a virtual environment for clean environment

   python3 -m venv venv
   source venv/bin/activate

3. Install the required Python packages

   pip3 install -r requirements.txt
   pip3 freeze

4. Initiate the project

   make init

Project's architecture

./
├── CITATION.cff
├── Dockerfile
├── LICENSE
├── Makefile
├── README.md
├── ecocal/
│   ├── Calendar.py
│   ├── Event.py
│   ├── __init__.py
│   ├── constants.py
│   └── utils.py
├── examples/
│   ├── main.ipynb
│   └── main.py
├── requirements.txt
└── setup.py

License & Credits

• Lucas RODRIGUEZ

The LICENSE file contains the full license details.

If you are using this package for research purposes, you can quote it as shown below (BibTeX format):

@software{RODRIGUEZ_ecocal_2023,
author = {RODRIGUEZ, Lucas},
month = dec,
title = {{ecocal}},
url = {https://github.com/lcsrodriguez/ecocal},
version = {1.2.1},
year = {2023}
}