International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

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IMPACT OF ASSOCIATION RULE MINING IN STOCK MARKET

    2 Author(s):  KAINAZ B. SHERDIWALA, DR. SAMRAT O. KHANNA

Vol -  9, Issue- 9 ,         Page(s) : 95 - 100  (2018 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

The main aim of our research work is to find interesting and knowledgeable rules to discover the correlation and associations between the index and price of the scripts from the data collected from NSE website. Majority of research works have been done in stock market domain. Various studies have been done pertaining associations between different scripts, inter-day, intra-day trading, regarding prediction of movements in stock market and to find out the direction (upward or downward) in the index value. According to various surveys, majority of the work is done in predicting the price of the shares but still it is highly challenging task to predict the price of the shares accurately. Our research work is quite different to the existing works. We have tried our best to bring out accurate and interesting rules to discover the relation between index value and the value of the shares. We have made sure that the association rules generated by our research model help traders, investors and speculators to earn profit and lower the risk involved in the investment as the nature of stock market is very volatile and unpredictable.

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