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Research Article

Adoption Of Neural Network In Forecasting The Trends Of Stock Market


Author(s): A.VictorDevadoss , Antony Alphonse Ligori
Affiliation: PG and Research Dept of Mathematics, Loyola College, Chennai Email : antony_ligori2001@yahoo.com
Year of Publication: 2013
Source: International Journal of Computing Algorithm
     
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Citation: A.VictorDevadoss, Antony Alphonse Ligori. "Adoption Of Neural Network In Forecasting The Trends Of Stock Market." International Journal of Computing Algorithm 2.2 (2013): 138-141.

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 forecastis proposed on the basis of the trends of stock market.


Keywords Fuzzy logic, neural network, forecasting stock price,Market Momentum Indicators , Market Volatility Indicators , Market Trend Indicators, Broad Market Indicators, General Momentum Indicators.


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@article{Ado1399011, author = {A.VictorDevadoss,Antony Alphonse Ligori}, title = {Adoption Of Neural Network In Forecasting The Trends Of Stock Market}, journal={International Journal of Computing Algorithm}, volume={2}, issue={2}, issn = {2278-2397}, year = {2013}, publisher = {Scholarly Citation Index Analytics-SCIA}

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