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The stock market performance curve can be considered as a sum of the cyclical functions with different periods and amplitudes. It is not easy to analyze the repetition of typical patterns in stock market performance because cycles mask themselves - sometimes they overlap to form an abnormal extremum or offset to form a flat period. A simple chart analysis has a certain limit in identifying cycles.
Addaptron Software has developed Stock Market Analyzer-Predictor (SMAP), computer program, which is able not only to extract basic cycles of the stock market (indexes, sectors, or well-traded shares) but also to predict an optimal timing to buy or sell stocks. SMAP calculation mainly based on extracting basic cyclical functions with different periods, amplitudes, and phases from historical quote curve. To detect correctly major cycles, the historical price data are transformed from time domain to frequency domain (spectrum).
See also:
Weekly stock market forecast
Tools to predict stock market
© Alex Shmatov. Published with permission of the copyright owner. Further reproduction strictly prohibited without permission.