NotFYCEX: A Simulation Based Price Prediction and Notification System Using Continuous Machine Learning Method-Reference-Cited by-同舟云学术

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

Published:2024-02-05 Issue: Volume: Page:
ISSN:2548-1304
Container-title:Computer Science
language:en
Short-container-title:JCS

Author:

OSEGİ Emmanuel Ndidi¹^ORCID,ANİREH V.ı.²^ORCID,MGBEAFULİKE J.ı.³^ORCID

Affiliation:

1. National Open University Nigeria (NOUN)

2. Rivers State University

3. Chukwuemeka Odumegwu Ojukwu University

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.

Publisher

Anatolian Science - Bilgisayar Bilimleri Dergisi

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