Auto News

https://github.com/user-attachments/assets/97cf27e6-27e9-40d3-9951-ffe05de9c1b2

Auto News is a web-based platform that allows users to enter a company name and receive real-time financial news. The website scrapes the latest articles from the web, evaluates their sentiment, and provides a final investment recommendation based on sentiment analysis.

Features

• Live Web Scraping: Fetches the latest financial news about a given company in real-time.
• Sentiment Analysis: Analyzes the sentiment of news articles using NLP techniques.
• Investment Recommendation: Determines whether the sentiment is positive, negative, or neutral and provides an investment suggestion.
• User-Friendly Interface: Simple and intuitive UI for quick and easy analysis.

Technologies Used

• Python (for backend processing)
• Flask (as the web framework)
• googlesearch (for web scraping latest financial news)
• FinBERT (for sentiment analysis; thanks to FinBERT on Hugging Face)
• React (for frontend development)

Installation

# Clone the repository
git clone https://github.com/axion66/StockTrading_based_on_financialnews.git
cd auto-news

# Install dependencies
pip install -r requirements.txt

# (optional) if no npm-setup, you need to do some "npm install" or nvm stuff.

# Run the application
python3 news_component/app.py

# Run the website
npm run dev

Usage

1. Enter the name of a company in the search bar.
2. The website will fetch and analyze the latest financial news.
3. View the sentiment analysis and the final investment recommendation.

Contributing

Contributions are welcome! Feel free to fork the repository and submit pull requests.

License

This project is licensed under the MIT License. I'm happy to share for real.