Stock NLP

Scrapes titles of news articles for a selected list of stocks
Conduct sentiment analysis on scraped news headlines using Google Cloud Natural Language API
Generate a report and a graph of the analyzed stocks

Dependencies

Use the package manager pip to install dependencies

pip install beautifulsoup4
pip install fake-useragent
pip install matplotlib
pip install numpy
pip install python-dotenv
pip install requests

Setup the Natural Language API on your local device by following the Google's quickstart guide

Set ADMIN_JSON_PATH variable in NL_Analysis.py to be the path to Cloud Authentication JSON file

Run NL_Analysis.py
Enter path to the txt file containing a list of ticker symbols to analyze, through console input
Enter the time window to scrape news headlines from, through console input
A csv file and a graph will be generated in the outputs folder

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Name		Name	Last commit message	Last commit date
Latest commit History 36 Commits
outputs		outputs
resources		resources
.gitignore		.gitignore
LICENSE		LICENSE
NL_Analysis.py		NL_Analysis.py
README.md		README.md
stock_news_scraper.py		stock_news_scraper.py