A Study of Different Algorithms used to Predict the Stock Price

International Journal of Engineering and Management Research

View Publication Info
 
 
Field Value
 
Title A Study of Different Algorithms used to Predict the Stock Price
 
Creator Aditya Singh Rajpurohit
Shravani Prakash Ahirrao
Pradnya Sangitbabu Gaikwad
Nutan Bhairu Dhamale
 
Subject Stock Prediction
Machine Learning
LSTM
RNN
ARIMA
Sentiment Analysis
NLP
 
Description 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.
 
Publisher Vandana Publications
 
Date 2021-10-14
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://www.ijemr.net/ojs/index.php/ojs/article/view/955
10.31033/ijemr.11.5.11
 
Source International Journal of Engineering and Management Research; Vol. 11 No. 5 (2021): October Issue; 90-94
2250-0758
2394-6962
 
Language eng
 
Relation https://www.ijemr.net/ojs/index.php/ojs/article/view/955/959
 
Rights Copyright (c) 2021 International Journal of Engineering and Management Research
https://creativecommons.org/licenses/by-nc-nd/4.0
 

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