This project focuses on the detailed analysis of a large corpus of financial news data to discover correlations between news sentiment and stock market movements.
The project directory contains the following structure:
data/: Contains the CSV files for analysis.notebooks/: Contains notes for analysis.src/: Contains the source code for the analysis classes.tests/: Contains the unit tests for the analysis classes.scripts/: Contains test script for each classes.requirements.txt: Dependencies used.
- Clone the repository to your local machine.
$ git clone https://github.com/amlaksil/stock-correlation-analysis.git
- Navigate to the project directory.
$ cd stock-correlation-analysis
- Create a virtual environment.
$ python3 -m venv stock-venv
- Activate the virtual environment
$ source stock-venv/bin/activate
- Install dependencies using pip
$ pip install -r requirements.txt.
- If you encounter any issues or have questions, please open an issue on the project's GitHub repository (https://github.com/amlaksil/stock-correlation-analysis/issues).
This project is licensed under the MIT License.