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JAVA PROJECT

Subject : Bitcoin Mania

Introduction

This project aims to build an app with JAVAFX in order to preview bitcoin value and process to data analysis. It was build in POO.

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Technologies & tools

Setup and run

To use the login system and SQL export, install MySQL and create a database name bitcoin_mania then change the "username" and "password" to the database in the class MySQLServer

Features

The application provides 3 types of chart to represent the price curve of Bitcoin and allow user to save the filtered price points in CSV, PDF or SQL file.

  1. The realtime chart:
  • Update the realtime price of Bitcoin from the starting moment of the application
  • Price will be update automatically every minute via the API Coindesk
  • Allow to choose currency between USD, EUR and GBP
  • Allow to define an upper and a lower threshold. When ever the price pass over (under) the upper (lower) threshold, there will be a popup alert.
  • Informations about each price point and the threshold lines can be easily obtained by hovering the cursor on the data points or on the threshold lines.
  1. The historical chart:
  • Plot the historical daily close prices of Bitcoin since 18/07/2010
  • Plot initially the close prices of the last 31 days (today exclueded)
  • Allow user to change the graduation between data points, the minumum graduation is one DAY due to the data provided by the API
  • Allow user to choose to plot prices between 2 specified dates or by a smart bounds (Last week, Last Month, Last Year)
  • Allow user to define an upper and a lower threshold. Hovering over the threshold lines will display the number of data points that pass over or under that threshold.
  1. Excel Chart
  • Allow user to import an excel file of 2 columns Date and Price and plot all that data.
  • Allow user to change the graduation between price points (minimum is 5 mins)
  • Allow user to pick period to plot by smart bounds
  • Allow user to pick a period between 2 dates to plot
  • Also provide the threshold functionality like in historical chart.

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