The main goal of this project is to predict future stock prices using a regression method. I have used two algorithms in this project to build a predictive model, i.e. PSO(Particle Swarm Optimization) and SVM(Support Vector Machine). PSO algorithm is a genetic population-based optimization algorithm that selects the future number using the paramet

Hidden Markov Model

This Streamlit-based web application predicts the closing price of stocks using historical data and a Random Forest model. Users can select any stock symbol, specify a date range, and enter stock features (Open, High, Low, Volume) to predict the closing price.