Scrapping & Sentiment analysis of US Beige book for global US economic indicators

Matthieu OLEKHNOVITCH - December 2024

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This repository outlines the research process and the results of an analysis of the US Beige book data in the context of ENSAE's Course on Machine Learning for Portfolio Management and Trading (2024-2025) teached by Sylvain Champonnois. The whole research is available in the main.ipynb file which has been pre-run and is ready to be used.

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Requirements

Python 3.12.1

Installation

Environment variables

For scraping the US Beige book data, you need to set the GEMINI_API_KEY environment variable.

You can either set the environment variable in your shell or create a .env file in the root of the repository following the .env.example file.

Dependencies

You can install the dependencies by running the following command:

pip install -r requirements.txt