S. Raju, M. Srikanth, K. Guravaiah, P. Pandiyaan, B. Teja, K. S. Tarun
{"title":"A Three-Dimensional Approach for Stock Prediction Using AI/ML Algorithms: A Review & Comparison","authors":"S. Raju, M. Srikanth, K. Guravaiah, P. Pandiyaan, B. Teja, K. S. Tarun","doi":"10.1109/ICITIIT57246.2023.10068584","DOIUrl":null,"url":null,"abstract":"For last few years, there has been significant research on application of AI/ML algorithms in stock prediction and stock market. Prediction in stock market is challenging as it is affected by various factors related to global markets, domestic markets, company related and overall sentiments of people. Stock market prediction can be done based on three aspects that is fundamental analysis, technical analysis, and sentimental analysis. In this paper, we have reviewed various AI/ML algorithms that can be used in predicting stock markets. We have covered all the three aspects of prediction and AI/ML algorithms applied in eachone of them. After reviewing some research papers, we have implemented a model which has given us 85% accuracy, we have achieved 10.28% return from our model portfolio, in last three months and 175% return in last one year.","PeriodicalId":170485,"journal":{"name":"2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITIIT57246.2023.10068584","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
For last few years, there has been significant research on application of AI/ML algorithms in stock prediction and stock market. Prediction in stock market is challenging as it is affected by various factors related to global markets, domestic markets, company related and overall sentiments of people. Stock market prediction can be done based on three aspects that is fundamental analysis, technical analysis, and sentimental analysis. In this paper, we have reviewed various AI/ML algorithms that can be used in predicting stock markets. We have covered all the three aspects of prediction and AI/ML algorithms applied in eachone of them. After reviewing some research papers, we have implemented a model which has given us 85% accuracy, we have achieved 10.28% return from our model portfolio, in last three months and 175% return in last one year.