Atlas - AI Trading & Stock Analysis

Algorithmic trading and stock analysis platform powered by AI.

Running the Project

1. Run the Backend

Navigate to the backend folder, set up your Python virtual environment and run the Flask server:

# In the backend directory
.\.venv\Scripts\python.exe wsgi.py

2. Run the Frontend

Navigate to the frontend directory, install packages, and start the development server:

# In the frontend directory
npm install --legacy-peer-deps
npm run dev

3. Run the Market News + Warning Streamers

Create backend/.env from backend/.env.example, add NEWS_API_KEY, then start Redpanda and the producer:

docker compose -f docker-compose.news.yml up --build

The news streamer publishes enriched article messages to atlas.market.news once per day by default. The warning streamer reads that topic, asks AI which stocks are affected, and stores accepted positive/negative warnings in MongoDB. The portfolio page refreshes warning cards while it is open, so newly accepted warnings appear automatically.