Stock Price Predictor

Document Type

Abstract

Publication Date

Spring 5-1-2025

Abstract

Stock Price Predictor is a web-based application that provides real-time and historical stock data, along with machine-learning-based stock price predictions. By leveraging financial APIs, deep learning techniques such as Long Short-Term Memory (LSTM) networks, and Linear Regression models, this tool assists users in making data-driven investment decisions. This system retrieves real-time stock data from the Yahoo Finance API and applies predictive models to forecast stock performance. The user interface (UI) is developed using React.js, while the backend is powered by Flask API. The database for historical stock data and user preferences is managed using PostgreSQL. This project serves investors, financial analysts, and students by offering interactive stock trend visualizations and predictive insights. The significance of this project lies in bridging traditional investment strategies with quantitative AI-driven forecasting models.

Comments

Completed as part of the Computer Science Senior Capstone Project.

This document is currently not available here.

Share

COinS