RTX 5090 Stock Tracker

A Python application that tracks NVIDIA RTX 5090 GPU availability and prices across multiple retailers.

Features

• Monitors RTX 5090 stock at Best Buy, Newegg, Amazon, and Micro Center
• Alerts via email when products are in stock and under $2,500
• Web dashboard to view current stock and price information
• Price tracking and visualization
• Stock history tracking
• Price prediction using machine learning
• Data export functionality

Setup

1. Clone the repository
2. Create a virtual environment: python -m venv venv
3. Activate the virtual environment:
   • Windows: venv\Scripts\activate
   • macOS/Linux: source venv/bin/activate
4. Install dependencies: pip install -r requirements.txt
5. Copy .env.example to .env and update the configuration
6. Initialize the database: python reset_database.py

Usage

Run the application

python run_all.py

This will start both the monitoring service and the web dashboard.

Run the monitoring service only

python run_all.py --monitor

Run the web dashboard only

python run_all.py --dashboard

Export data

python run_all.py --export

Train machine learning models

python run_all.py --ml-models

Configuration

Edit the .env file to configure:

• Database connection
• Email notifications
• Alert thresholds
• Monitoring intervals

Setting Up S3 for Image Storage (Optional)

To prevent local storage of chart images, you can use Amazon S3:

1. Create an S3 bucket in your AWS account
2. Add the following environment variables to your .env file:

S3_BUCKET_NAME=your-bucket-name
AWS_REGION=your-region (default: us-east-1)
AWS_ACCESS_KEY_ID=your-access-key
AWS_SECRET_ACCESS_KEY=your-secret-key

When S3 is properly configured, all charts and images will be stored in your S3 bucket instead of locally in the static/img directory. The application also includes an automatic cleanup service that removes old chart files periodically (older than 7 days).

Deployment

The application is configured for deployment on Heroku. To deploy:

1. Create a Heroku app
2. Add PostgreSQL addon
3. Set environment variables
4. Deploy the code

License

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