Stock Movement Prediction using KNN Machine Learning Algorithm

Abstract

The stock market refers to the buying, selling, and issuance of shares of publicly held companies. Stock market prediction is for good and successful investment. Some people think stock market prediction is impossible to predict future stock values and it involves risks it may face huge losses. To address these, a machine learning model-based stock market prediction using K Nearest Neighbor (KNN) algorithm is proposed. For predicting next day change in the stock value, KNN is very powerful in numeric prediction problems because it can process relation between the numeric data. By utilizing these algorithms in stock market prediction our proposed results with experimental results show that a higher accuracy of 70%.