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Research Paper | Financial Engineering | India | Volume 4 Issue 11, November 2015

Forecasting of Indian Stock Market Index S&P CNX Nifty 50 Using Artificial Intelligence

Dr. Jay Desai | Nisarg A Joshi

Abstract: This paper presents a computational approach for predicting the S & P CNX Nifty 50 Index. A neural network based model has been used in predicting the direction of the movement of the closing value trend of the index by predicting the seven day simple moving average value change after seven days. The model presented in the paper also confirms that it can be used to predict price index value trend of the stock market. After studying the various features of the network model, a suitable model for stocks forecast is proposed. The model has used the preprocessed data set of closing value of S & P CNX Nifty 50 Index. The data set encompassed the trading days from 1st September, 2013 to 30th April, 2015. In the study the model has been tested to forecast the stock market trend for a period of five months. Accuracy of the performance of the neural network is compared with buy and hold returns of the index. The model generated return of 70.42 % against buy and hold return of 47.41 %.

Keywords: artificial intelligence, neural network, S&P, index, forecasting

Edition: Volume 4 Issue 11, November 2015,

Pages: 2544 - 2550

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