Work

Stock Price Prediction Web Application

Year: 2025

Type: article

Abstract: The economy depends heavily on the stock market, and forecasting stock values has long been a difficult and in-demand job. The design and implementation of a stock price prediction web application that forecasts future stock prices using machine learning algorithms and historical data is shown in this project. To help users make well-informed judgments, the application offers an interactive interface where they can enter stock symbols and examine the anticipated trends.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15513782

Author: Mrs.N.Rajapriya, P.Gracelin Sweety, C.Gracilin, S.Dharshini Subanu

Language: English

Topic: Stock Market Forecasting Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W6930996265

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