Random Forest Classifier Model for Analyzing the Stock Market
S. Radhika, S. Anitha, S. Mounasri
Abstract
In India, nowadays stock markets are becoming more passion to make the stock broking. Prediction of the stock market becomes more complicated for the various experienced stockholders as well as market experts. Sometimes this may affect the stockholders and also people if any wrong predictions on the market. In this paper, various algorithms are proposed to predict the stock market and analyze the market trends and helpful to the stockholders. But the issues in estimating stock price are the most difficult task for any of the experts. In this paper, an expert system is developed integrated with machine learning algorithms.
