STREAMLIT - POWERED DATA SCIENCE VISUALIZING CRYPTOCURRENCY MARKETS
Streamlit-powered data science visualizing cryptocurrency markets is a pioneering and user-centric platform meticulously crafted to immerse users in the captivating realm of cryptocurrencies. By harnessing state-of-the-art technologies such as Python, Streamlit, Matplotlib, Seaborn, and Base64, this application introduces an engaging and immersive experience for both cryptocurrency enthusiasts and astute investors. Hosted on the robust Google Cloud Shell infrastructure, it not only assures scalability but also reinforces reliability, offering users unfettered access to invaluable insights and interactive tools tailored for traversing the dynamic and ever- evolving cryptocurrency market. The fundamental goal of this project is to furnish an expansive and user- friendly gateway to the multifaceted world of cryptocurrency analysis. The Streamlit-powered data science visualizing cryptocurrency markets empowers users with a rich tapestry of interactive data visualizations and in-depth insights, thereby arming them with the essential instruments required to delve into and comprehend the complex cryptocurrency landscape. Whether you are an ardent cryptocurrency aficionado yearning to stay apprised of the latest trends or an astute investor in pursuit of data-driven decision-making, our web application stands as an invaluable and irreplaceable resource in the vast expanse of the cryptocurrency space.
Authors
- Kejul Kalyani
- Uday Kumar (ORCID: https://orcid.org/0000-0003-1787-4524)
- K. Ganesh
- K. Koteswararao
- J. Keerthi Lahari
- G. Thanmai Teja
Institutions
- Jawaharlal Nehru Technological University, Kakinada (IN)
Publication Details
- Journal
- Journal of Nonlinear Analysis and Optimization
- Published
- 2025-01-01
- DOI
- https://doi.org/10.36893/jnao.2025.v16.i01.022
- Primary Topic
- Big Data Technologies and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00