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Multi-Container application to dashboard expected returns for global equity markets. Isolate Streamlit frontend, FastAPI backend, and SQLModel database with Docker. Orchestrate with Docker-Compose.

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yemaney/Expected-Returns

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Expected-Returns Python application Python 3.6

Diagram


Simple and neat project to give expected returns for global equity markets.

  • Streamlit frontend, for user to interact with the backend API and visualize the results
  • FastApi backend to handle retrieving data.
  • SQLModel database along with FastAPI to communicate with backend
  • All parts are containerized with Docker, to mock micro-services
  • Final application uses Docker Compose to orchestrate communication between the three micro-services

Running the application

cd expected_returns
docker-compose build
docker-compose up

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Multi-Container application to dashboard expected returns for global equity markets. Isolate Streamlit frontend, FastAPI backend, and SQLModel database with Docker. Orchestrate with Docker-Compose.

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