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EXAMINATION OF FUZZY METAGRAPH BASED DATA MINING FOR INVESTIGATION ON STOCK MARKETS
A.Yashwanth Reddy, P.Hasitha Reddy, Dr.D.Vasumathi

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 4, Issue-9, pp.70-75, Sep 2017
DPI :-> 16.10046.IJCESR.2017.V4I9.7075.1920



Abstract
The aim of this research is to develop a syste m that can predict future stock market investment based on some sample of historical data sets collected from various stock marketing companies. This paper proposes an efficient algorithm for fuzzy Meta graph (FM) based decision support system (DSS) for stock market investigation. This research has dealing with the FM based data structures to support decision making and reducing some major risks in share market investment for short term and long term periods. Relative strength index (RSI), Moving Average convergence divergence (MACD) and William-%R which are the following input indicators used to train the system which is integrated with fuzzy Meta graph. These three indicators would be a new attempt in decision making on share market investment. Moreover, these three indicators have produce good profit when compare to two indicators (RSI and William-%R).

Key-Words / Index Term
Fuzzy meta graph, DSS, Stock marketing model, Relative strength index, MACD, William -%R, Stochastic Oscillator, Negative Volume Index.

How to cite this article
A.Yashwanth Reddy, P.Hasitha Reddy, Dr.D.Vasumathi , “EXAMINATION OF FUZZY METAGRAPH BASED DATA MINING FOR INVESTIGATION ON STOCK MARKETS”, International Journal of Current Engineering And Scientific Research ( IJCESR), 4, Issue-9, pp.70-75, Sep 2017. DPI:16.10046.IJCESR.V4.I9.1920