Predicting Stock Market Prices Using Deep Learning by Tensor Flow

Lecture Notes in Networks and Systems (LNSS, volume - 41), ISBN - 978-981-13-3122-0, Springer, 2019

8 Pages Posted: 26 May 2020

See all articles by Yajnavalkya Bandyopadhyay

Yajnavalkya Bandyopadhyay

Birla Institute of Technology (BIT), Mesra

Sandip Roy

Asansol Engineering College

Siddhartha Chatterjee

Maulana Abul Kalam Azad University of Technology

Date Written: February 15, 2019

Abstract

Stock Market investors are in need of good quality stock prediction system to maximize their profit and minimize their loss, which makes the reason for prediction system to be in action.The Prediction system uses a deep learning based neural network system for prediction. TensorFlow (A neural network from Google) is used for designing the Deep Learning network where data of April to July values are provided for training and the August values are predicted and compared with the old values of that month. Deep Learning offers one of the best ways to predict stock market values using historical Data.

Keywords: ANN, TensorFlow, Deep Learning, Yahoo Finance, Prediction

JEL Classification: C61

Suggested Citation

Bandyopadhyay, Yajnavalkya and Roy, Sandip and Chatterjee, Siddhartha, Predicting Stock Market Prices Using Deep Learning by Tensor Flow (February 15, 2019). Lecture Notes in Networks and Systems (LNSS, volume - 41), ISBN - 978-981-13-3122-0, Springer, 2019, Available at SSRN: https://ssrn.com/abstract=3586407

Yajnavalkya Bandyopadhyay

Birla Institute of Technology (BIT), Mesra ( email )

Ranchi
India

Sandip Roy

Asansol Engineering College ( email )

West Bengal
India

Siddhartha Chatterjee (Contact Author)

Maulana Abul Kalam Azad University of Technology ( email )

West Bengal
India

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
211
Abstract Views
880
Rank
361,209
PlumX Metrics