pypredict

Real-time stock market predictions using an event-driven architecture

Steps to run the application

Create a virtual environment

$ virtualenv venv

Activate the virtual environment

$ source venv/bin/activate

Install the required packages

$ pip install -r requirements.txt

Open three terminal windows

Run the publisher in the first window (make sure to activate the virtual environment first)

$ source venv/bin/activate

$ python pypredict/trades.py publish

Run the subscriber in the second window (make sure to activate the virtual environment first)

$ source venv/bin/activate

$ python pypredict/trades.py subscribe

Run the website in the third window (make sure to activate the virtual environment first)

$ source venv/bin/activate

$ uvicorn pypredict.main:app --reload

Note: the reload flag provides the ability to refresh the application after code changes. It is not necessary.

Containerizing the application

Run docker container

$ docker-compose up

Go to http://localhost:8000 to view the application