Open AccessSTOCK PRICE FORECASTING: A MACHINE LEARNING MODEL
Author(s) -
N. Aishwarya,
N. Divya,
K. M. Poornima
Publication year - 2020
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2020.v05i04.036
Subject(s) - stock price , stock (firearms) , econometrics , computer science , economics , financial economics , artificial intelligence , machine learning , engineering , series (stratigraphy) , mechanical engineering , paleontology , biology
In this paper, the work done is the future Stock prices are predicted. The effective prediction of a future stock’s price could yield major profit. The technique mainly used to predict stock price are fundamental and technical analysis. In this paper, Technical analysis is performed on historical data of stock prices are collected from yahoo finance by applying LSTM with RNN (a machine learning algorithm) on close values obtained from yahoo finance and the stock values is analysed. Then the learned models are ready to predict the stock future