A Survey on Real-Time Market Dynamics Through Visual Dashboards

Authors

  • Gaurav Marathe Student(BE), Department of Information Technology, P.E.S Modern College of Engineering, Pune, INDIA
  • Dr. Mrs. Swapna Bhavsar Assistant Professor, Department of Information Technology, P.E.S Modern College of Engineering, Pune, INDIA
  • Arjun Bajare Student(BE), Department of Information Technology, P.E.S Modern College of Engineering, Pune, INDIA
  • Vaidehi Jadhav Student(BE), Department of Information Technology, P.E.S Modern College of Engineering, Pune, INDIA
  • Aishwarya Nikam Student(BE), Department of Information Technology, P.E.S Modern College of Engineering, Pune, INDIA

DOI:

https://doi.org/10.5281/zenodo.10656991

Keywords:

Real-Time Data, Visualization, Web-Based Dashboard, Financial Markets, Dynamic Visualizations

Abstract

This paper presents a web-based dashboard for real-time data visualization, primarily focusing on financial markets and cryptocurrencies. Data visualization serves as an effective means to convey intricate data clearly and concisely. Utilizing React for the front end, Flask for the backend API, and incorporating data visualization libraries such as Chart.js, our dashboard offers dynamic and interactive data representations. Comprehensive overview of dashboard design, architecture, and functionality, highlighting its importance in monitoring and analyzing financial information in real-time. Furthermore, we delve into the challenges faced during development and potential areas for improvement. This dashboard proves to be an invaluable resource for traders, investors, and financial analysts navigating today's dynamic economic landscape. It provides valuable insights and actionable data to support decision-making.

Downloads

Download data is not yet available.

Published

2024-02-13

How to Cite

Gaurav Marathe, Dr. Mrs. Swapna Bhavsar, Arjun Bajare, Vaidehi Jadhav, & Aishwarya Nikam. (2024). A Survey on Real-Time Market Dynamics Through Visual Dashboards. International Journal of Engineering and Management Research, 14(1), 52–57. https://doi.org/10.5281/zenodo.10656991