Stock Market Prediction through Artificial Intelligence, Machine Learning and Neural Networks

Abstract

Stock prices and their fluctuations have a major impact on our daily lives. Therefore, it is necessary to discuss this forum today and study its various aspects. he use of machine learning(ML) and artificial intelligence(AI) in this field can bring us new insights, and the use of computers to predict prices can give us significant advantages in this field. In this paper, there is a significant attempt to achieve this stock market forecasting with the help of two techniques as follows: The first technique uses neural networking :It is used to collect and analyse the data to calculate a price by finding a suitable balance of past information that equals the present information. The final report which is generated by the above process is then upgraded by combining the actual prices in the past associated with the market. The next technique which is being involved here is linear regression. Linear regression is used to forecast prices that will involve the coming price having a calculated and nearly accurate probability. This model uses the previous data available and gives accurate results for the stock price for the next day. The model will further assist in the future research and will be useful for the growing scientific community in this field.