Supreme prediction of stock price revolutionizes is vastly tricky and momentous information for investors. The use of artificial neural networks has found a variegated field of applications in the present world. This has led to the development of various models for financial markets and investment. To outline the design of Artificial Neural Network model with its features and various parameters. Investors need to understand that stock price data is the most important information which is highly impulsive,a non-parametric and are affected by many suspicions an interrelated economic and political factor across the globe. Neural Networks can be used as a better substitute technique for forecasting the daily stock market prices. This study demonstrates the literature analysis of prophecy in stock market.