Stock price prediction using machine learning on least-squares linear regression basis

2025-04-04https://repository.covenantuniversity.edu.ng/handle/123456789/45872Predicting the future of a stock price is a difficult task due to the high level of randomness in the movement of prices. This research aims to use a machine-learning algorithm to estimate the closing stock price of a dataset to help aid in the prediction of stock prices leading to higher accuracy in prediction. The intention of the model is for it to be used as a day trading guide. The algorithm being used is called the least-squares linear regression model. It takes in a dependent variable, in this case, would be our closing price of the stock and an independent variable, which is the day each stock price was recorded.application/pdfQA MathematicsStock price prediction using machine learning on least-squares linear regression basisConference or Workshop Item