SMART : Stock Market Analyst Rating Technique Using Naive Bayes Classifier

Abstract

Currently there are a lot of analysts and experts who give out recommendations to laymen regarding the operations of the stock market and answering the when and where of investments in the stock market. The system developed aims to create an unbiased rating system that will analyze and quantify the performance of stock market analysts. Our system will keep these analysts’ reliability in check by analyzing their performance and providing a rating for each of these analysts on a 5 star rating system. The recommendations given by the analysts will be analyzed and factors relevant to the success/failure of the recommendation will be stored. The system will then use the Naive Bayes classifier to provide a rating on the factors thus extracted. The project will help curtail problems like incompetent analysts and simultaneously provide a system of reference to see how good an analyst is at his/her job.