Machine Learning Project in Python to Predict Stock Price

Abstract

The Stock Price Prediction System is an innovative application of machine learning and data analysis techniques aimed at forecasting the future prices of publicly traded stocks. Stock markets are dynamic and influenced by a multitude of factors, making stock price prediction a complex and challenging task. This system leverages historical stock price data, along with relevant financial and macroeconomic indicators, to provide accurate and valuable predictions for investors, traders, and financial analysts. Index Terms Data Collection and Preprocessing, Machine Learning Models based, Prediction and Visualization, Real-time Update.