ADOPTION OF NEURAL NETWORK IN FORECASTING THE TRENDS OF STOCK MARKET

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The stock market is a very complicated nonlinear dynamic system, it has both the high income and high risk properties. So the forecast of stock market trend has been always paid attention to by stockholders and invest organization. Forecasting stock prices and their trends are important factors in achieving significant gains in financial markets. In this paper, a neural network-driven fuzzy reasoning system for stock price forecast is proposed on the basis of the trends of stock market.

Science

International Journal of Computing Algorithm, Vol 2(2), December 2013
ISSN(Print):2278-2397
Website: www.ijcoa.com
Adoption of Neural Network in Forecasting the
Trends of Stock Market
A.Victor Devadoss, Antony Alphonse Ligori
Department of Mathematics, Loyola College, Chennai
Email: hanivictor@ymail.com , antony_ligori2001@yahoo.com
Abstract
The stock market is a very complicated nonlinear dynamic system, it has both the high
income and high risk properties. So the forecast of stock market trend has been always paid
attention to by stockholders and invest organization. Forecasting stock prices and their trends
are important factors in achieving significant gains in financial markets. In this paper, a
neural network-driven fuzzy reasoning system for stock price forecast is proposed on the
basis of the trends of stock market.

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Molecular markers are identifiable DNA sequences used to locate genes associated with specific traits or genetic conditions. A molecular marker is a specific gene fragment present at a specific position called ‘locus’ (pleural loci) in the genome of a cell. In the pool of unknown DNA or in a whole chromosome, these molecular markers help in identification of particular sequence of DNA at particular location.

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ADOPTION OF NEURAL NETWORK IN FORECASTING THE TRENDS OF STOCK MARKET

1. International Journal of Computing Algorithm, Vol 2(2), December 2013 ISSN(Print):2278-2397 Website: www.ijcoa.com Adoption of Neural Network in Forecasting the Trends of Stock Market A.Victor Devadoss, Antony Alphonse Ligori Department of Mathematics, Loyola College, Chennai Email: hanivictor@ymail.com , antony_ligori2001@yahoo.com Abstract The stock market is a very complicated nonlinear dynamic system, it has both the high income and high risk properties. So the forecast of stock market trend has been always paid attention to by stockholders and invest organization. Forecasting stock prices and their trends are important factors in achieving significant gains in financial markets. In this paper, a neural network-driven fuzzy reasoning system for stock price forecast is proposed on the basis of the trends of stock market.

ADOPTION OF NEURAL NETWORK IN FORECASTING THE TRENDS OF STOCK MARKET

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