A micro trading tool to predict Magic The Gathering cards prices. 💥

• This project crawls data from different sources and uses machine learning model to predict Magic The Gathering cards price.
• Collected data are cards prices and last major tournaments. Price data are collected from magiccardmarket.eu, and tournament data from mtgtop8.com.
• All data in the application can be accessed through a REST API

This project contains two parts:

• a Django application that contains all the logic.
• a VueJS application to display results.

To start the hole application:

$ ./script/install_app.sh
$ ./script/restart_app.sh

The Django application allows the user to:

• view data in a REST API
• manage database and schedule tasks in the Django admin interface (with django-celery-beat plugin)
• manage queues and exchanges in RabbitMQ management interface
• visualize monitoring dashboards about tasks (with Flower, a celery plugin). Picture is below.

This project relies on a research paper "Prediction of Price Increase for Magic: The Gathering Cards", published by Matthew Pawlicki, Joseph Polin and Jesse Zhang, from Stanford University. This paper is available in the doc folder.