Stock Price Prediction using Deep Learning

Abstract: The Stock Price prediction is a critical area of financial analytics that aims to forecast stock prices based on historical data patterns. This project, Stock Price Prediction Model combines Deep learning, web development, and cloud deployment to provide an interactive platform for stock price forecasting The system utilizes Long Short Term Memory (LSTM) neural networks for time series prediction, ensuring high accuracy in forecasting stock trends.This system not only recommends stocks but also provides detailed research information about companies, helping users make informed investment decisions By integrating Deep Learning (ML), Full Stack Web Development, and Financial Data Analysis, our platform offers a seamless and intelligent stock selection experience.

Keywords: Stock Price, Deep Learning, LSTM, Financial forecasting, Stock Recommendation