Author(s): Naliniprava Tripathy
The purpose of the study is to predict the movement of the direction of the Nifty Technology stock market price in India. The study has used Support Vector Machines, Random Forest, and Logistic Regression models, to the time series data to estimate the movement of the direction of the stock market price. The prediction value of all three models is compared to shed light on the performance efficiency of each algorithm. The results of the study indicate that the LR model provides an average of 60.73% accuracy for predicting the movement of the direction of the Nifty Technology stock market price. The outcomes are slightly encouraging results of estimating the direction. Nevertheless, the findings would help the investors, institutional investors, portfolio managers, and foreign investors to develop an efficient market trading strategy to make buy, hold, and sell decisions before making investment decisions. It will also facilitate the company in forecasting financial quotes and enable policymakers to understand the influential factors, which affect to stock market movement. This study will not only be helpful to the regulators but also be of great value to the Investors.