IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

Stock Price Pridiction Model Using LSTM

Main Article Content

Dr. M. P. Sardey, Alkesh Bhagat, Shantanu Sable, Shreyas Zope

Abstract

Stock price prediction is an essential task for investors, traders to make informed decision and earn high return. In this study, we will look at the topic of stock price prediction. The price prediction will help the traders and investors to make a idea of the stocks price. Artificial intelligence (AI) in the sense of machine learning and deep learning algorithms can help solve problems. machine learning algorithm has an ability to capture complex pattern and relationship in stock market data. the model is train on the stock price data over the year and is capable of predicting the future stock price. The input data is preprocessed using various technique such as normalization and generalization. The model is evaluated using various performance metrics including mean square error and mean absolute error.

Article Details