Stock Price Prediction and Investment Recommendations through Machine Learning Analysis

Abstract

We’re researching how our thesis can help guess stock prices and suggest smart investment moves. We start by checking if the current stock prices are right, looking at both the percent- age and money differences. We also predict the prices tomorrow, showing the real-time and guessed numbers and explaining how much they differ. After that, we give practical advice in three categories: Sell, Hold, and Buy, so people can make smart choices. We also look at what happens if the stock prices are guessed wrong and how it affects people’s investment portfolios.