Volume 7 Issue 4 - November 2016

  • 1. An intelligent decision support system for financial markets

    Authors : M.v.sarvesha, Fathima Begum F.r., Y.s.kumaraswamy

    Pages : 391-394

    DOI : http://dx.doi.org/10.21172/1.74.054

    Keywords : DM-Data Model

    Abstract :

    AbstractThe automated computer programs using data mining and predictive technologies do a fare amount of tradesin the markets. Data mining is well founded on the theory that the historic data holds the essential memory for predicting the future direction. This technology is designed to help investors discover hidden patterns from the historic data that have probable predictive capability in their investment decisions. The prediction of stock markets is regarded as a challenging task of financial time series prediction. Data analysis is one way of predicting if future stocks prices will increase or decrease. In this paper we discuss the rule base system to automated trading ofstock which calculates the risk and profit involved in trading of a particular stock based on the patterns present in the historic data.

    Citing this Journal Article :

    M.v.sarvesha, Fathima Begum F.r., Y.s.kumaraswamy, "An intelligent decision support system for financial markets", https://www.ijltet.org/journal_details.php?id=909&j_id=3550, Volume 7 Issue 4 - November 2016, 391-394, #ijltetorg