The stock market does not follow just a linear trend - it has some deviations from a linear function. Some cycles are well-known, such as, four-year presidential cycle or annual and quarterly fiscal reporting cycles. In addition, some cycles are defined by intrinsic characteristic properties of the system. 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. It is clear that a simple chart analysis has a certain limit in identifying cycles parameters and using them for predicting. Addaptron Software has developed Stock Market Analyzer-Predictor SMAP-2, computer program, which is able not only to extract basic cycles of the overall stock market or sectors but also to predict an optimal timing to buy or sell stocks. It has a user-friendly easy-to-use interface. To use this software it is recommended to have a basic knowledge in investing.

Features :
Any index as an equivalent of the overall stock market, sector, or industry can be used to find an optimal timing
SMAP-2 forecasts performance for 1/3 of historical period. For example, if the period of historical quote data entered as input is equal 18 years, prediction will be calculated for the next 6 years.
Annual return is calculated on a decompounded basis, i.e., for example, 20% displayed annual return means 44% total for two-year period
SMAP-2 is packaged with an initial set of data for ^GSPC, ^TYX, ^IXBK, and ^XAU
Historical quote data files are downloaded from publicly available data source for free
The historical quote data period can be selected by users from one year to more than 40 years

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