  Stock prediction is a topic undergoing intense study for many years. Finance
experts and mathematicians have been working on a way to predict the future
stock price so as to decide to buy the stock or sell it to make profit. Stock
experts or economists, usually analyze on the previous stock values using
technical indicators, sentiment analysis etc to predict the future stock price.
In recent years, many researches have extensively used machine learning for
predicting the stock behaviour. In this paper we propose data driven deep
learning approach to predict the future stock value with the previous price
with the feature extraction property of convolutional neural network and to use
Neural Arithmetic Logic Units with it.
