• Rohit Biradar
• Pooja Dhule
• Hrushikesh Athare
• Haridas Dhulgande
• Ashwini Rathod

SHORT-TERM PRICE MOVEMENTS ARE HIGHLY VOLATILE AND UNPREDICTABLE IN NATURE AND THEY CHALLENGE INVESTOR CAPITAL UTILITY IN THE SECURITIES MARKET. ACCURATELY PREDICTING THE PRICE VARIATIONS IN STOCK MARKET HAS A EXTENSIVE ECONOMIC ADVANTAGE. THIS CAN BE ACHIEVED BY FUNDAMENTAL ANALYSIS, WHICH INVOLVES THE STUDY OF COMPANY PERFORMANCE BASED ON REPORTS PUBLISHED IN THE PUBLIC DOMAIN. HOWEVER FUNDAMENTAL DATA IS PUBLISHED ONCE EVERY QUARTER MAKING SHORT TERM DECISION MAKING IMPOSSIBLE. ANOTHER METHOD, WHICH IS UNDERGOING A LOT OF RESEARCH WORK, IS TO CREATE A PREDICTIVE ALGORITHMIC MODEL USING MACHINE LEARNING. THIS METHOD UTILIZES THE TECHNICAL ANALYSIS AS A BASIS FOR DECISION MAKING WHERE DEEP NEURAL NETWORKS ARE UTILIZED TO DEVELOP A SHORT-TERM PREDICTION MODEL. THE PAPER DISCUSSES THE FEATURES AND METHODS THAT CAN BE UTILIZED IN IMPLEMENTING FEED FORWARD NEURAL NETWORKS AND RECURRENT NEURAL NETWORKS. IN FUTURE THE VARIOUS APPROACHES COULD BE ENHANCED TO ACHIEVE HIGHER LEVELS OF ACCURACY AND PROFITABILITY.

Deep Learning, Artificial Neural Networks, Multilayer Perceptron, Stock Price Prediction, Technical Analysis

"Stock Price Prediction Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.590-592, November-2018, Available :http://www.jetir.org/papers/JETIR1811984.pdf

"Stock Price Prediction Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp590-592, November-2018, Available at : http://www.jetir.org/papers/JETIR1811984.pdf