Crypto Trading Platform: MERN Stack with Real-Time Data and Social Features

The increasing complexity of cryptocurrency markets necessitates the development of efficient portfolio management tools that provide real-time tracking, price updates, and market awareness. This paper focuses on an advanced concept of a cryptocurrency wallet service provision that provides a summar...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS) s. 572 - 580
Hlavní autoři: M, Gurupriya, A, Mouhitha, Gujjula, Saranya, Ankireddypalli, Okesh Reddy
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 10.03.2025
Témata:
Blogs
CoinGecko API
Cryptocurrency
MongoDB
News Integration
Node.js
Online banking
Portfolio Management
Portfolios
React.js
Real-Time Data
Real-time systems
Scalability
Security
Testing
User interfaces
Virtual environments
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:The increasing complexity of cryptocurrency markets necessitates the development of efficient portfolio management tools that provide real-time tracking, price updates, and market awareness. This paper focuses on an advanced concept of a cryptocurrency wallet service provision that provides a summary of available coins, their prices, available quantities, and customers' transaction histories. Developed for the 'frontend' using React.js and for the 'backend' using Node.js, which uses the CoinGecko API for receiving live market prices and collecting curated news blog articles from other APIs. The data related to the wallets are efficiently managed since the application is built based on the MongoDB schema, and in addition to this, the user authentication is also integrated. A responsive design of the user interface allows for showing both a portfolio summary and the latest news related to cryptocurrencies, thus suggesting an 'everything in one place' solution for users interested in cryptocurrencies. This system shows how real-time data integration could be implemented, how the system is friendly to users, and how the system manages the content. This system could be expanded in the future with predictive analytics and an AI recommendation system for the portfolio management and contents.
DOI:10.1109/ICMLAS64557.2025.10968956