NotFYCEX: A Simulation Based Price Prediction and Notification System Using Continuous Machine Learning Method

Year 2024, Volume: 9 Issue: Issue:1, 18 - 31, 06.06.2024

Emmanuel Ndidi Osegi , V.ı. Anireh , J.ı. Mgbeafulike

https://doi.org/10.53070/bbd.1410394

Abstract

This research study presents NotFyCEX - a price notification systems model based on Internet of Things (IoT) and Blockchain technology for reporting important trends in a Cryptocurrency Exchange (CRYPTEX) market. The system is simulated in near real time using a co-simulator approach including web-based PHP server-side application for emulating price fluctuations, a dynamic neural network model application integrated within the MATLAB/SIMULINK software environment and ArduinoUNO hardware for continual physical signalling/alerting. Dynamic simulation results showed exact matches between synthesized price state representations and the predicted pattern states. Thus, we consider NotFyCEX a novel effort that can effectively serve as a notification and price prediction system to the end-user or cryptocurrency trader in a given CRYPTEX market.

Keywords

Blockchain, cryptocurrency, machine learning, notification system, prediction, simulator

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