Stock Market Prediction using Machine Learning Models

Abstract

Stock market prediction is the needed emerging economic statistics from business to normal middle-class peoples, to make their investment as a profitable one. This article has utilized the dynamic dataset of the company. The dataset includes the closing price of the stock of the last 290 working days. The dataset is downloaded using the yahoo finance (https://finance.yahoo.com), so the data is pretty accurate. Further, some technical analysis and machine learning techniques are used to predict the future prices and exchange of company’s stock. The machine learning models includes Linear Regression, Decision Tree, Random Forest, SVR, LSTM, Lasso Regression, KNN, Bayesian Ridge, Gradient Boosting, and Ada Boost are used in this article and suitable technique for the dataset is chosen for performing effective prediction of stock market.