Most of the prediction methods apply different statistical and other methods using external and internal factors. These predictions are not accurate, and are mostly applicable to a specific environment. In all these methods user experience is not being considered into account for prediction. In this paper we take into consideration of the user experience he/she gains in the market to have a higher reliability and success. The proposed model is an integration of the conventional wisdom of the user along with the technical analysis of the data to gain the insight of buy and sell signals from the market as it emerges. The aim of the proposed work is to utilize the knowledge gained by the user along with the existing methods for enhancing the reliability of the knowledge, as he/she buys and sells the stocks to maximize his profit.
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