Your browser doesn't support javascript.
An Ameliorate Analysis of Cryptocurrencies to Determine the Trading Business with Deep Learning Techniques
7th International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2022 ; 928:577-586, 2023.
Article in English | Scopus | ID: covidwho-2173910
ABSTRACT
As the range of COVID-19 sufferers increased, many nations imposed a complete lockdown. As a result, it caused a devastating international financial disaster everywhere in the world. Technical and essential evaluation are two methods for determining future worth. Different strategies use statistics from outside the market, such as monetary conditions, hobby rates, and geopolitical events, to forecast future charge. We use technical evaluation forecasts potential charge using buying and selling statistics from the market, which includes charge and buying and selling volume, whereas other strategies use statistics from outside the market, such as monetary conditions, hobby rates, and geopolitical events. The objective of this project is to give technical and fundamental analysis using machine learning approaches. In business, AI is broadly used to remedy and optimize various problems, including marketing, credit score card fraud detection, algorithmic trading, patron service, portfolio management, and product advice primarily based totally on patron needs. Furthermore, the technology due used in this finished greater to optimize the proposed set of rules to attain the maximum correct result primarily based totally on the current valuation of cryptocurrency. This project is to use machine learning techniques to provide technical analysis. The incorporation of new technology into financial institutions has the potential to propel cryptocurrency values to time highs. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Keywords

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 7th International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2022 Year: 2023 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 7th International Conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2022 Year: 2023 Document Type: Article