1Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India
2Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India
3Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India
4Student, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India
*Corresponding Author: aditya.rajpurohit19@pccoepune.org
Online published on 19 April, 2022.
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.
Stock Prediction, Machine Learning, LSTM, RNN, ARIMA, Sentiment Analysis, NLP
