A NEW FKG SYSTEM MODEL AND ITS APPLICATION ON STOCK PRICE

In this paper, first the simple FKG gray system model and its prediction on stock price are given. Then we set up a new algorithm model, which is composed of fuzzy mathematics, k-means algorithm and grey system (short for FKG system model). Meanwhile, through comparing the dates available in the new algorithm model with the one in the traditional model, the result showed that the new one has more advantages and accuracy. Finally, we predict the cluster center required from the last month by using the historical date, the results are very satisfactory. This new model is good at predicting short-swing trading stock price and has practical value, which can provide some advices for people who are interested in short-swing trading investment. If people refer to it combined with some other market and social factors the result will be more helpful.