Financial Trading System Using Combination of Textual and Numeric Data

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 308)

Abstract

Forecasting stock return is a challenging concept that has attracted researchers’ attention for many years. It involves an assumption that fundamental information publicly available in the past has some predictive relationships to the future stock returns. This study helps the investors to decide the better timing for buying or selling stocks based on the knowledge extracted from the historical prices of stock market using different data mining techniques. But this paper tries to provide a conclusive analysis based on the accuracies for stock market forecasting using the methods MLP and decision tree for buying and selling stocks.

Keywords

MLP Decision tree BSE Sensex 

Notes

Acknowledgment

I am very much thankful to my esteemed teacher, Honorable Vice Chancellor of North Orissa University, Prof. Sanghamitra Mohanty for her help and advice for this new application to stock market.

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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringNorth Orissa UniversityBaripadaIndia
  2. 2.ECILHyderabadIndia

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