Soft Computing Stock Market Price Prediction for the Nigerian Stock Exchange

( Vol-2,Issue-7,July 2016 )

Author(s): Mbeledogu N.N., Chiemeke S.C., Imianvan A.A., Ekuobase G.O.

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Downloads : 164
Page No: 1028-1032
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Keywords:

Artificial Neural Network (ANN), Fuzzy Neuro Model, hybrid method, Soft Computing (SC).

Abstract:

Forecasting the price movements in stock market has been a major challenge for common investors, businesses, brokers and speculators because Stock Prices are considered to be very dynamic and susceptible to quick changes. As more and more money is being invested, the investor get anxious of the future trends of the stock prices in the market and thus, creating a high desirable need for a more’ intelligent’ prediction model. Two soft computing models- Artificial Neural Network (ANN) and Fuzzy Neuro hybrid model were used to forecast the next day’s closing price. The historical trading data was obtained from the Nigerian Stock Exchange for Dangote Sugar Refinery Plc . The results showed the power of Soft Computing techniques (SC) in stock Price Prediction.

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