Please use this identifier to cite or link to this item:
https://dspace.ctu.edu.vn/jspui/handle/123456789/84963
Title: | BUILDING A SOFTWARE SYSTEM TO COLLECT DATA OF DIGITAL CURRENCIES BY MARKET CAPITALIZATION |
Other Titles: | XÂY DỰNG HỆ THỐNG THU THẬP DỮ LIỆU VỀ TIỀN ẢO THEO VỐN HÓA THỊ TRƯỜNG |
Authors: | Thái, Minh Tuấn Bùi, Quốc Trọng |
Keywords: | CÔNG NGHỆ THÔNG TIN - CHẤT LƯỢNG CAO |
Issue Date: | 2022 |
Publisher: | Trường Đại Học Cần Thơ |
Abstract: | Over the last years, cryptocurrencies such as Bitcoin, have become more and more popular due to their disruptive innovation and, most importantly, because of their meteoric rising value. Nowadays, the exchange of virtual currencies is present in a very active way and it is one of the most revolutionary transaction systems of all times. Unlike traditional currencies, such as conventional fiat money, cryptocurrencies are electronic assets that are independent of banks and states. The number of cryptocurrencies and exchanges that offer them has been growing enormously in the last years. As of March 2018, there are more than 4500 cryptocurrencies available over the internet and more than 120 active exchanges. Because the cryptocurrency market is very new, many investment opportunities have emerged by means of applying different trading strategies. Although the market is growing very fast, the options to trade automatically are limited. People cannot grasp the information immediately. For this reason, good understanding in programming is a critical requirement. Nowadays, very few open source projects are up-to-date and fully developed. The main focus of this project is to collect the data of cryptocurrencies in the market capitalization. By using technique or tools which support for real-time data, the system can handle for collecting and displaying historical or real-time data. |
Description: | 47 Tr |
URI: | https://dspace.ctu.edu.vn/jspui/handle/123456789/84963 |
Appears in Collections: | Trường Công nghệ Thông tin & Truyền thông |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
_file_ Restricted Access | 4.72 MB | Adobe PDF | ||
Your IP: 3.145.64.210 |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.