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.

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Institutions

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
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article

STREAMLIT - POWERED DATA SCIENCE VISUALIZING CRYPTOCURRENCY MARKETS

Kejul Kalyani, Uday Kumar, K. Ganesh, K. Koteswararao et al.
Journal of Nonlinear Analysis and Optimization
Big Data Technologies and Applications
article

STREAMLIT - POWERED DATA SCIENCE VISUALIZING CRYPTOCURRENCY MARKETS

Kejul Kalyani, Uday Kumar, K. Ganesh, K. Koteswararao, J. Keerthi Lahari, G. Thanmai Teja
article en

Abstract

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.

Journal of Nonlinear Analysis and OptimizationVol. 16(01)
Jawaharlal Nehru Technological University, Kakinada (IN)
Openalex Percentile: Top 94%
Big Data Technologies and Applications
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STREAMLIT - POWERED DATA SCIENCE VISUALIZING CRYPTOCURRENCY MARKETS — Kejul Kalyani, Uday Kumar, et al. · Journal of Nonlinear Analysis and Optimization (2025) | TGRS Research Map | TGRS