Reddit Stock Sentiment Analyzer

A full-stack application that analyzes stock sentiment by combining Reddit discussions, news data, and technical analysis. The application helps investors make more informed decisions by providing a comprehensive view of market sentiment.

Features

• Reddit Sentiment Analysis: Scrapes and analyzes Reddit posts and comments about specific stocks
• News Integration: Fetches relevant news articles about the stock
• Technical Analysis: Analyzes stock charts using AI
• Real-time Updates: Provides streaming updates of analysis results
• Sentiment Scoring: Combines multiple data sources to generate an overall sentiment score

Tech Stack

• Frontend: React.js
• Backend: Node.js with Express
• AI/ML: OpenAI GPT-4 Vision API
• Data Sources: Reddit API, News API
• Web Scraping: Selenium WebDriver

Prerequisites

• Node.js (v14 or higher)
• Chrome/Chromium browser (for Selenium)
• OpenAI API key
• News API key

Installation

1. Clone the repository:

git clone https://github.com/Ikarus0013/RedditSentimentChecker.git
cd RedditSentimentChecker

2. Install backend dependencies:

cd stock-chart-analyzer-backend
npm install

3. Install frontend dependencies:

cd ../stock-chart-analyzer
npm install

4. Create a .env file in the backend directory with the following variables:

OPENAI_API_KEY=your_openai_api_key
NEWS_API_KEY=your_news_api_key
PORT=3005

Running the Application

1. Start the backend server:

cd stock-chart-analyzer-backend
npm start

2. Start the frontend development server:

cd stock-chart-analyzer
npm start

The application will be available at http://localhost:3000

Project Structure

RedditSentimentChecker/
├── stock-chart-analyzer/          # Frontend React application
│   ├── src/                      # Source files
│   ├── public/                   # Static files
│   └── package.json             # Frontend dependencies
│
└── stock-chart-analyzer-backend/  # Backend Node.js application
    ├── redditScraper.js         # Reddit data scraping logic
    ├── newsScraper.js           # News data fetching
    ├── openai-assistant.js      # AI analysis integration
    ├── server.js                # Express server
    └── package.json            # Backend dependencies

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• OpenAI for providing the GPT-4 Vision API
• Reddit API for access to discussion data
• News API for financial news data