Stock Market Price Prediction Using Machine Learning Techniques

Abstract

The goal of the paper is to analyse real-time stock market data values as they change over time. A difficult task in research is predicting and analysing future stock values. The necessity to create an automated, computational approach for forecasting stock market data values, which fluctuate depending on the degree of risk, is what spurred this research's development. currently in this an automated approach is not available the researcher used historical data from past along with stock market professionals to find a good prediction.A comparative study for stock market prediction is on in this paper using lstm and rnn the dataset we have used from yahoo finance where day to day the dataset is updated this ml method gives a better accuracy rate.