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

License: MIT License

Shell 1.42% Python 47.31% HTML 49.87% Dockerfile 1.40%

pypredict's Introduction

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 pypredict/requirements.txt

Run the publisher

$ python pypredict/trades.py publish

Run the subscriber

$ python pypredict/trades.py subscribe

Run the application

$ 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 to view the application

pypredict's People

Contributors

pdeziel avatar pdamodaran avatar

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