Paper Title :Indian Stock Market Predictor System
Author :Vivek John George, Darshan M. S, Sneha Pricilla, Arun S, CH. Vanipriya
Article Citation :Vivek John George ,Darshan M. S ,Sneha Pricilla ,Arun S ,CH. Vanipriya ,
(2013 ) " Indian Stock Market Predictor System " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 32-36,
Volume-1,Issue-6
Abstract : Stock market prediction models are one the most challenging fields in computer science. Our proposed system
combines both the statistical numeric data and sentiments of the stock on the internet to predict future prices in the stock
market. The existing models are predicting stock market prices either by using statistical data or by analyzing the sentiments
on the internet. The proposed system combines both these methods to develop a hybrid machine learning Stock Market
Predictor based on Neural Networks, with intent of improving the accuracy.
Type : Research paper
Published : Volume-1,Issue-6
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-64
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Copyright: © Institute of Research and Journals
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Published on 2014-01-18 |
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