Abstract

We have investigated processes of analysis, integration, and content generation, taking into consideration the needs of the user in cryptocurrency. By using the developed formal model and the performed critical analysis of methods and technologies for predicting the exchange rate of cryptocurrency, we have built a general architecture of the content processing system that acquires data from different cryptocurrency Internet stock exchanges. General functional requirements to the intelligent cryptocurrency system that target the Internet users have been stated. We have investigated methods, models, and tools to improve the effective support for developing structural elements in the model of a decision support system that manages content according to the user’s needs. general architectures of the backend and frontend parts of an intelligent cryptocurrency system have been devised. We also developed software for the system of integration and generation of content considering the cryptocurrency needs of users. An analysis of results of experimental verification of the proposed method for content integration and generation taking into consideration the cryptocurrency needs of users has been performed. A special feature of the system is that it analyzes information from social media and builds a forecast of currency rates based on the acquired information. A given system makes it possible to guess the trend in an exchange rate fluctuation. Conferences of a particular cryptocurrency, new implementations, government decrees from different countries, affect a trend as well, so it too must be taken into consideration. In order to account for most cases, it is necessary to constantly accumulate information on the subject and to assign it to Tables in a database. A given process takes place using a specialized software bot that collects and indexes information. The system is characterized by the following features that favorably distinguish it from analogs: the speed of page generation; the presence of SSL certificate and TLS encryption; content of better quality as it is updated every minute; there are no inactive sections of the service; the mobile web-site layout does not copy content at subdomain; automated checks against e-mail spam messages on the exchange rate. The focus of the system is on the frequency of updates at the speed of data aggregation from the Internet stock exchanges and social networks.

Highlights

  • Cryptocurrency is a kind of currency, which makes it possible to transfer coins from one client to another without intermediaries, by using a public key as the address to a purse and a private key to access the open address [1]

  • In the course of development of the system for content integration and generation taking into consideration the cryptocurrency needs of the user, we identified competing services and analyzed their functionality

  • We have defined basic requirements to a general structure of similar systems, underlying the general architecture of ICS aimed at the Internet users

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Summary

Introduction

If a transaction is executed to the wrong address, there is no way to cancel it, as the system is not programmed to return [12] This means that when a mistake is made when writing the number of a purse, the user will lose the money when sending to another person or to a non-existent, or not yet created, purse [13]. A given issue is relevant because the world of today requires standardization in the development of intelligent cryptocurrency systems (ICS) for the end user according to his needs, as well as requirements of the international Internet market. The proposed typical architecture of ICS should provide for improved reliability in the search for information about cryptocurrencies. That in turn would provide the end user with a swift access to the up-to-date cryptocurrency information at any time, thereby saving his time and resources required to search for it and to analyze it

Literature review and problem statement
The aim and objectives of the study
Result
General architectures of the backend and frontend parts of the system
Software for the system of content
10. Conclusions
Full Text
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