Stock Price Visualizing and Forecasting
M JOTHIKA SUMALI
, M VANDANA , M UMA SHANKARI , NALLAPARAJU B N VENKATA PRABHAVATHI DEVI , Prof. B PRAJNA
Stock price, yfinance, Machine learning, forecasting, prediction, visualizing, Dash framework python.
The stock market offers one of the biggest returns on the market, but it is exceedingly difficult to predict stock prices because there are no set guidelines for doing so. Although they are volatile in nature, share prices and other statistical factors may be seen, which aids savvy investors in carefully selecting the company they wish to put their profits in. We may create dynamic graphs of financial data for a particular company using tabular data provided by the yfinance Python module by using this straightforward project idea. In addition, we can forecast future stock prices using a machine learning system. The project is a wonderful introduction to Python/data science for newcomers and an useful refresher for experts who have experimented with Python/ML in the past.
"Stock Price Visualizing and Forecasting", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.c836-c842, March-2023, Available :https://ijnrd.org/papers/IJNRD2303295.pdf
Volume 8
Issue 3,
March-2023
Pages : c836-c842
Paper Reg. ID: IJNRD_189236
Published Paper Id: IJNRD2303295
Downloads: 000118841
Research Area: Computer Science & Technology
Country: visakhapatnam, andhra pradesh, India
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
