The Marketprog system is intended to identify periods of similarities for the specific product from analysis of historic data entered into the program and then project the past outcomes of such periods of similarity into the present market, thus determining a probability for a specific trend for the next 10-20 periods.
The program analyses the candle charts of a specific product from the past 10 days (preset) and launches a process of looking for similarities. The system identifies the 10 day periods which show the greatest similarity to the subject period in the historic data base and then identifies the outcomes of these periods one by one. These outcomes are summed up using an algorithm, creating a track which serves as the basis for calculating the probability of trends applicable to the current period.
Weekly, daily and hourly charts from historic data bases are used for preparing the search for similarities which allows probabilities for short, medium on long term movements to be calculated.