A Study of Different Algorithms used to Predict the Stock Price

Authors

  • Aditya Singh Rajpurohit Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, INDIA
  • Shravani Prakash Ahirrao Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, INDIA
  • Pradnya Sangitbabu Gaikwad Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, INDIA
  • Nutan Bhairu Dhamale Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, INDIA

DOI:

https://doi.org/10.31033/ijemr.11.5.11

Keywords:

Stock Prediction, Machine Learning, LSTM, RNN, ARIMA, Sentiment Analysis, NLP

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.

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Published

2021-10-26

How to Cite

Aditya Singh Rajpurohit, Shravani Prakash Ahirrao, Pradnya Sangitbabu Gaikwad, & Nutan Bhairu Dhamale. (2021). A Study of Different Algorithms used to Predict the Stock Price. International Journal of Engineering and Management Research, 11(5), 90–94. https://doi.org/10.31033/ijemr.11.5.11