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Predicting the prices of stocks at any stock market remains a quest for manyinvestors and researchers. Those who trade at the stock market tend to usetechnical, fundamental or time series analysis in their predictions. Thesemethods usually guide on trends and not the exact likely prices. It is for thisreason that Artificial Intelligence systems, such as Artificial Neural Network,that is feedforward multi-layer perceptron with error backpropagation, can beused for such predictions. A difficulty in neural network application is thedetermination of suitable network parameters. A previous research by the authoralready determined the network parameters as 5:21:21:1 with 80% training dataor 4-year of training data as a good enough model for stock prediction. Thismodel has been put to the test in predicting selected Shanghai Stock Exchangestocks in the future period of 21-Sep-2016 to 11-Oct-2016, about one week afterthe publication of these predictions. The research aims at confirming thatsimple neural network systems can be quite powerful in typical stock marketpredictions.

Predicting Future Shanghai Stock Market Price using ANN in the Period 21-Sep-2016 to 11-Oct-2016