Portfolio optimization app

This application implements the Markowitz Portfolio Optimization algorithm, which is a method for selecting the optimal portfolio allocation by maximizing expected return for a given level of risk. The project is built using a combination of Next.js for the frontend, Java for the optimization logic, Python (Flask) for retrieving real financial data, and Docker for containerization.

The system is composed of three main services:

• Frontend (Next.js 14)
• Portfolio Optimization Service (Java / Spring boot)
• Stock Data Service (Python with Flask) These services work together in a Docker-based environment, where each service is isolated within its own container.

Requirements

• Docker: To run the app in containers.

Running the application

1. Clone the repository

2. Navigate to the clonned repository and run docker

cd optimal-portfolio-app
docker compose up -d

3. The app is available on port 80