Paper Title

CRYPTO ANALYSIS AND VISUALIZATION USING PYTHON AND STREAMLIT

Authors

G Santhoshi , G Nithin Kumar , T. Uday Kiran , T. Kranthi Kiran

Keywords

StreamLit, Crypto Visualization(CV), Crypto Analysis(CA),Data Visualization(DV).

Abstract

The Crypto Analysis and Visualization using Python and Streamlit 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 Crypto Analysis and Visualization using Python and Streamlit 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

How To Cite

"CRYPTO ANALYSIS AND VISUALIZATION USING PYTHON AND STREAMLIT ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 5, page no.1534 - 1539, May-2024, Available :https://ijsdr.org/papers/IJSDR2405202.pdf

Issue

Volume 9 Issue 5, May-2024

Pages : 1534 - 1539

Other Publication Details

Paper Reg. ID: IJSDR_211569

Published Paper Id: IJSDR2405202

Downloads: 000347287

Research Area: Computer Science & Technology 

Country: Medchal, Telangana, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2405202

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2405202

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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