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Using neuron network modeling for volatility influencing factors assessment

The problem of a disturbance index calculation is discussed. This index movement data may be used to estimate various effects that influence equity market and provide the prediction models constructing process with useful additional infor¬mation. The method suggested makes it possible to form a learning sample in such a way that enables an analyst to apply at most his/her knowledge and experience for neuron networks explor¬ing.

Using neural networks at the trader’s work

Neural networks are based on artificial intelligence algorithms. They serve as a modern tool for forecasting stock market performance,. Thanks to its wide use in various fields of science, neural networks have proven to be a flexible forecasting tool that can solve a wide range of tasks and provide support to the trader in his work.