This chapter discusses the results obtained from the fuzzy model. It can be seen that the input variables have very different values for all the key moments in the past. These selected imbalances of the market were chosen to demonstrate the model. The financial market is dynamic and a very complex system so there is no simple way to predict the future development. The objective of the model is not to predict the future development but merely to identify
opportunities and calculate recommendations from the input variables. Because this model focuses on the extreme imbalances of the market it can identify them safely. When the calculated recommendations are combined with other information and investing skills of the individual investor this decision support model is very valuable. This model promotes long-term investing strategy with low risk. That is a major difference when compared to most other methods
that promote short-term speculation with high risk.