NeuroStock: A Deep Learning Framework for Stock Market Forecasting with Web-Based Analytics

Stock market prediction is challenging due to its volatile, nonlinear nature. NeuroStock is a deep learning framework using Long Short-Term Memory (LSTM), Convolutional Neural Network (CNN), and Hybrid CNN-LSTM models to predict stock prices over 7-60 days. It processes real-time Yahoo Finance data and evaluates performance with metrics like RMSE, MAE, R2, Directional Accuracy, and Precision. A Streamlit web app lets users select stocks, tweak settings, view predictions, and compare models. Tests on GOOG stock show the Hybrid CNN-LSTM model balances accuracy (RMSE: 9.218274, R2: 0.913406), while LSTM minimizes errors (RMSE: 4.413391). Unlike prior studies, NeuroStock excels in model comparison, trend prediction, and user-friendly deployment. It offers real-time insights for investors and analysts. Future updates, like sentiment analysis and additional data inputs, will boost accuracy, making NeuroStock a powerful tool for financial forecasting.