WEB APPLICATION WITH ANALYSIS AND VISUALIZATION OF CRYPTOCURRENCY METRICS WITH FUTURE PRICE PREDICTION USING NEURAL NETWORKS

Authors

DOI:

https://doi.org/10.31891/2307-5732-2023-319-1-171-174

Keywords:

cryptocurrency, metrics, neural network

Abstract

The popularity of virtual currencies is growing every day. And accordingly, the number of people who want to become investors in cryptocurrency and make a profit is growing. However, any decision should be based on knowledge and calculations because there is a significant risk of losing everything invested. Therefore, there is a demand for a program that can perform all complex operations for investors. A web application that analyzes all the necessary metrics provides visualization, and specific recommendations can greatly simplify decision-making. The analysis, presented in graphs, charts, and histograms, will be understandable even to a non-specialist. And, of course, one of the main advantages will be a convenient interface that will make it easier to use.Moreover, a feature of this program will be the accessibility of content for people with disabilities. At the moment, this approach is a trend, and not all applications support it, but in the future, this trend will become a requirement, not an additional plus. Such functionality will significantly expand the target audience and open the world of investments to people with certain health defects. Such an application can save not only money but also time. After all, making decisions quickly in the investment market is essential. However, fast does not mean reckless. Since the main goal is the stable earning of money, not short-term profit, the program will also show you the possible future price, which has been predicted using a recurrent neural network. And based on all the calculations and with a known expected price, it will provide recommendations for purchasing the following currency. Of course, investment always means risk, but a decision based on calculations and analysis has a higher percentage of success. Therefore, a program that significantly reduces the risk will gain popularity among all people who invest their money in virtual currencies or want to start doing it.

Published

2023-04-27

How to Cite

KRYVENCHUK, Y., & PYKHNEI, V. (2023). WEB APPLICATION WITH ANALYSIS AND VISUALIZATION OF CRYPTOCURRENCY METRICS WITH FUTURE PRICE PREDICTION USING NEURAL NETWORKS. Herald of Khmelnytskyi National University. Technical Sciences, 319(2), 171-174. https://doi.org/10.31891/2307-5732-2023-319-1-171-174