The paper presents the wavelet transform method to the analysis of the stock exchange price values patterns. The technical analysis covers the set of the methods implemented to find the regularities in the waveform, searching for the typical formations. The characteristics of the patterns generated by the stock exchange are presented. The wavelet transform is then explained and its application for denoising of the waveform described. The method is applied for the trend detection in the exemplary pattern of the shares price values time series. Finally, conclusions and future prospects are presented.

1. FULLTEXT: Application of the wavelet transform to the stock exchange shares analysis, Microsoft Office Document, 0.2MB

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1. Analysis of the stock exchange waveforms similarity using the clustering method