A Three-Dimensional Approach for Stock Prediction Using AI/ML Algorithms: A Review & Comparison

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
使用AI/ML算法进行股票预测的三维方法:综述与比较
近年来,人们对AI/ML算法在股票预测和股票市场中的应用进行了大量的研究。股票市场受到全球市场、国内市场、企业相关、国民整体情绪等多种因素的影响,因此很难预测。股市预测可以从基本面分析、技术面分析和情绪分析三个方面进行。在本文中,我们回顾了可用于预测股票市场的各种AI/ML算法。我们已经涵盖了预测的所有三个方面以及在每个方面应用的AI/ML算法。在回顾了一些研究论文后,我们实施了一个模型,该模型为我们提供了85%的准确率,我们的模型投资组合在过去三个月获得了10.28%的回报,在过去一年获得了175%的回报。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An Enhanced Hybrid Scheme for IP Traceback Design of a Crop Disease Detection Model using Multi-parametric Bio-inspired Feature Representation and Ensemble Classification A Truncated SVD Framework for Online Hate Speech Detection on the ETHOS Dataset Self-Driving Car: Simulation of Highly Automated Vehicle Technology using Convolution Neural Networks Mutable Blockchain for Identity Management
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1