Stock Price Prediction Web Application

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-25
DOI
https://doi.org/10.5281/zenodo.15513782
Primary Topic
American Environmental and Regional History
Type
article
Field-Weighted Citation Impact
0.00
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article

Stock Price Prediction Web Application

Zenodo (CERN European Organization for Nuclear Research)
American Environmental and Regional History
article

Stock Price Prediction Web Application

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 44%
American Environmental and Regional History
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Stock Price Prediction Web Application · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS