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- W2340596890 abstract "Peoples tend to invest in stocks because of its high returns over time. Stock markets are affected by many highly interrelated economic, social, political and even psychological factors, and these factors interact with each other in a very complicated manner. Therefore it is generally challenging task to predict the movement of stock market. It is observed that conventional statistical techniques for prediction have reached their limitation in applications with nonlinearities in the data set. Artificial Neural Network, a computing system containing many simple nonlinear computing units as neurons interconnected by links, is a well-tested method for financial analysis on the stock market. This paper explains in detail various prediction methodologies for stock market and found that Artificial Neural network could be useful for stock market prediction." @default.
- W2340596890 created "2016-06-24" @default.
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- W2340596890 date "2011-01-01" @default.
- W2340596890 modified "2023-09-27" @default.
- W2340596890 title "Methodologies for Prediction of Stock Market: An Artificial Neural Network" @default.
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