P-ISSN: 2707-5923, E-ISSN: 2707-5931
Printed Journal | Refereed Journal | Peer Reviewed Journal
2023, Vol. 4, Issue 1, Part A
Survey of different techniques used to predict the Stock price
Author(s): Aditya Singh Rajpurohit, Pradnya Sangitbabu Gaikwad, Harshada Mhaske, Shravani Prakash Ahirrao and Nutan Bhairu Dhamale
Abstract: A stock market is a place where we can purchase the stocks of various companies (part of the company), which makes it volatile, and predicting it becomes a tedious task. So we need various algorithms and methodologies to predict the stock prices. We cannot depend on one type of algorithm because each algorithm has its own pros and cons and also it depends on the style of the trader on how he trades stocks. This paper will deal with different aspects like quantitative aspect- LSTM, RNN, ARIMA, and qualitative with sentiment analysis for predicting the stock prices, in an efficient manner.
DOI: 10.33545/27075923.2023.v4.i1a.55
Pages: 20-24 | Views: 252 | Downloads: 77
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How to cite this article:
Aditya Singh Rajpurohit, Pradnya Sangitbabu Gaikwad, Harshada Mhaske, Shravani Prakash Ahirrao, Nutan Bhairu Dhamale. Survey of different techniques used to predict the Stock price. Int J Circuit Comput Networking 2023;4(1):20-24. DOI: 10.33545/27075923.2023.v4.i1a.55
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