2010-02-27
Cycle Analysis Forecast Gives Clues for March 2010 Stock Market Performance
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.
2010-02-13
Stock Market Forecast Using Expert Method
The more methods and information are taken into consideration, the more precise an investment-related solution and, consequently, the more profitable is investing. There is Expert Method. This method can be explained by following. As example, an experimentalist shows a pen and asks about 40 people to write down their estimate of the length. Then he collects notes and calculates the average number - normally it is almost 100% accurate. Why it works? Everyone makes errors in different directions so that averaging gives a precise result.
There is a webpage where you are invited to build a collective forecast for S&P-500 index. Please share your opinion by voting and see the result of composite forecast. If you use more than one method, approach, or tool for prediction, it could be reasonable to give a vote for each one. All participants may benefit from building a simple average forecast. However, do not put too much trust in any method alone - make your own conclusion.
Link to S&P-500 index weekly forecast
© Alex Shmatov. Published with permission of the copyright owner. Further reproduction strictly prohibited without permission.