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
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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.
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。
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