This paper is published in Volume-4, Issue-1, 2018
Area
Machine Learning in Computer Science
Author
Shallu Bashambu
Co-authors
Aman Sikka, Pallav Negi
Org/Univ
Maharaja Agrasen Institute of Technology, Rohini, Delhi, India
Pub. Date
13 February, 2018
Paper ID
V4I1-1346
Publisher
Keywords
Machine Learning, Deep Learning, Neural Networks.

Citationsacebook

IEEE
Shallu Bashambu, Aman Sikka, Pallav Negi. Stock Price Prediction Using Neural Networks, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Shallu Bashambu, Aman Sikka, Pallav Negi (2018). Stock Price Prediction Using Neural Networks. International Journal of Advance Research, Ideas and Innovations in Technology, 4(1) www.IJARIIT.com.

MLA
Shallu Bashambu, Aman Sikka, Pallav Negi. "Stock Price Prediction Using Neural Networks." International Journal of Advance Research, Ideas and Innovations in Technology 4.1 (2018). www.IJARIIT.com.

Abstract

Trading stocks on the stock market are one of the major investment activities. In the past, investors developed a number of a stock analysis method that could help them predict the direction of stock price movement. Modelling and predicting of equity future price, based on the current financial information and news, is of enormous use to the investors. Introduction of machine learning caused that new models can be developed based on the past data. Our main hypothesis was that by applying machine learning and training it on the past data, it is possible to predict the movement of the stock price. Particularly, we want to determine the percentage of growth or fall in a stock price for the next day which can be variable. Usually, investors want to select the stocks which will grow in price substantially.
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