Short-term stock price prediction using MLP in moving simulation mode

The features of a short-term prediction of a stock price using a multi-layer perceptron in a moving simulation application mode are considered in this paper. The input data for the short-term prediction mode are analyzed. The architecture of the predicting model is developed. The simulation modeling results show a high accuracy of the prediction on the historical stock prices of Fiat company.

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