International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

Real-time Stock Price Prediction and Investment Suggestion System using Machine Learning

Author(s) Somrup Roy, Anjali Gupta
Country India
Abstract RealTimeStockAnalyzer is a real-time stock prediction system developed using machine learning that fetches streaming price data, computes technical indicators, trains predictive models, and suggests profitable buy/sell signals
Keywords Stock market prediction, Real-time analysis, Machine learning, Technical indicators, Moving averages, Random forest model, Buy/sell signals, Investment suggestions.
Field Computer Applications
Published In Volume 6, Issue 1, January-February 2024
Published On 2024-02-15
Cite This Real-time Stock Price Prediction and Investment Suggestion System using Machine Learning - Somrup Roy, Anjali Gupta - IJFMR Volume 6, Issue 1, January-February 2024. DOI 10.36948/ijfmr.2024.v06i01.13496
DOI https://doi.org/10.36948/ijfmr.2024.v06i01.13496
Short DOI https://doi.org/

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