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

Year 2024, , 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

References

• Alabdali, A. M. (2022). A novel framework of an IOT-blockchain-based intelligent system. Wireless communications and mobile computing, 1-13.
• Aliyu, A. A., & Liu, J. (2023). Blockchain-Based Smart Farm Security Framework for the Internet of Things. Sensors, 23(18), 7992.
• Agarwal, A., Soni, D., & Isha, A. K. Y. (2022). Bitcoin Alert System Using Bolt Iot Integrated. International Journal of Advances in Engineering and Management, 4(5), 2567 – 2575.
• Bakar, K. B. A., Zuhra, F. T., Isyaku, B., & Sulaiman, S. (2023). A Review on the Immediate Advancement of the Internet of Things in Wireless Telecommunications. IEEE Access.
• Chhem, S., Anjum, A., & Arshad, B. (2019, December). Intelligent price alert system for digital assets-cryptocurrencies. In Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing Companion (pp. 109-115).
• Dang, L. M., Piran, M. J., Han, D., Min, K., & Moon, H. (2019). A survey on internet of things and cloud computing for healthcare. Electronics, 8(7), 768.
• Devkar, S., Divekar, R., Khandagale, P., & Khote, S. S. (2023). Crypto Alert System Using Bolt IoT. International Research Journal of Modernization in Engineering Technology and Science, 5(10), 2829 – 2833.
• Gadekallu, T. R., Pham, Q. V., Nguyen, D. C., Maddikunta, P. K. R., Deepa, N., Prabadevi, B., ... & Hwang, W. J. (2021). Blockchain for edge of things: Applications, opportunities, and challenges. IEEE Internet of Things Journal, 9(2), 964-988.
• Hawkins, J., Ahmad, S., & Dubinsky, D. (2010). Hierarchical temporal memory including HTM cortical learning algorithms. Techical report, Numenta. Inc, Palto Alto.
• Hawkins, J. (2021). A thousand brains: A new theory of intelligence. Basic Books. Kamps, J., & Kleinberg, B. (2018). To the moon: defining and detecting crypto currency pump-and-dumps. Crime Science, 7(1), 1-18.
• La Morgia, M., Mei, A., Sassi, F., & Stefa, J. (2023). The doge of wall street: Analysis and detection of pump and dump cryptocurrency manipulations. ACM Transactions on Internet Technology, 23(1), 1-28.
• Naik, R., & Jaipurkar, P. (2023). A web application for real-time price tracking cryptocurrency.
• Osegi, E. N., & Anireh, V. (2020). AMI: an auditory machine intelligence algorithm for predicting sensory-like data. Computer Science, 5(2), 71-89.
• Osegi, E. N. (2021). Design and Implementation of a Web-Based AI Tool for Real Time Trading In Financial Markets. Diploma Thesis. National Open University of Nigeria (NOUN).
• Osegi, E. N., Jagun, Z. O., Chujor, C. C., Anireh, V. I., Wokoma, B. A., & Ojuka, O. (2023). An evolutionary programming technique for evaluating the effect of ambient conditions on the power output of open cycle gas turbine plants-A case study of Afam GT13E2 gas turbine. Applied Energy, 349, 121661.
• Osegi, E. N. (2023). Neuronal Auditory Machine Intelligence (Neuro-AMI) In Perspective. http://dx.doi.org/10.13140/RG.2.2.10131.45605.
• Parikh, D. P., & Banerjee, R. S. A. (2021). Design of Intelligent Auto-bot for Financial System.
• Shankhdhar, A., Singh, A. K., Naugraiya, S., & Saini, P. K. (2021, April). Bitcoin price alert and prediction system using various models. In IOP Conference Series: Materials Science and Engineering (Vol. 1131, No. 1, p. 012009). IOP Publishing.
• Srinivasan, S., Sundar, R., Immanuel, S. J. H., Belvadi, R., & Sathiyanarayanan, M. (2020, October). Bitcoin alert system using bolt IoT integrated with blockchain. In 2020 International Conference on Smart