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Stock Analytics Agent — Run Locally (Docker Desktop)

This app runs on your computer with Docker Desktop. You do not need to install Python, Node, or any other developer tools.

Time required: about 10 minutes the first time (mostly waiting for the image to build).
Requirements: a Mac or Windows PC with ~8 GB RAM and a stable internet connection.


What you will need

  1. Docker Desktop

  2. A Groq API key (free tier is enough for demos)

  3. This project folder (unzipped), including:

    • Dockerfile
    • docker-compose.yml
    • fused_database5.db
    • application code and index_llm.html

Step-by-step setup

1. Install and start Docker Desktop

  1. Download and install Docker Desktop for your OS (links above).
  2. Open Docker Desktop and wait until it says it is running.
  3. On Windows, if asked, allow the WSL 2 backend / restart when prompted.

You do not need to change any Docker settings for this app.

2. Add your API key

  1. Open the project folder in Finder (Mac) or File Explorer (Windows).

  2. Create a new plain-text file named exactly:

    .env

  3. Put this single line inside the file .env (paste your real key): GROQ_API_KEY=your_key_here

  4. Open the terminal or powershell in the same directory and use the following docker command: docker compose up --build

    First run downloads base images and Python packages (can take 10–15+ minutes). When it is ready, look for a line similar to: Uvicorn running on http://0.0.0.0:8000

     Leave this terminal window open while you use the app.
    
  5. Open the app in your browser Go to: http://localhost:8000

     IN THE AGENT SANDBOX YOU CAN ASK NL QUESTIONS SUCH AS:
    
     - Calculate the 30-day rolling annualized volatility of daily returns and plot the rolling volatility trend line for the given ticker.
    
    
     - What is the latest RSI and MA structure for the given ticker? 
    
Screenshot 2026-08-10 at 16 17 51

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