Patent ID: 8712897
Filing Date: 2014-04-29
Classification: G06Q

Abstract:
1. A stock analysis method for performing an analysis on a plurality of stocks to select target ones to be bought/sold from the stocks, the company of each of the stocks belonging to a corresponding classified industry, said stock analysis method comprising the steps of: a) calculating stock return data of each of the stocks, market return data, and classified industry return data of each of the corresponding classified industries based on historical stock price information within a historical trading period that includes a current trading period and that consists of a number (N) of consecutive time intervals; b) according to the stock return data, the market return data and the classified industry return data obtained in step a), determining whether a stock return of each of the stocks in each of the N time intervals is greater than a classified industry return of the corresponding classified industry in a corresponding one of the N time intervals, whether the stock return of each of the stocks in the corresponding one of the N time intervals is greater than a market return in the corresponding one of the N time intervals, and whether the classified industry return of the corresponding one of the classified industries in the corresponding one of the N time intervals is greater than the market return in the corresponding one of the N time intervals; c) based on results determined in step b), grouping the stocks so that each of the stocks in each of the N time intervals is grouped into a corresponding one of a number (G) of different groups; d) obtaining clustering data of each of the stocks corresponding to each of the N time intervals and associated with the groups based on a specific one of the groups using a clustering mode; e) estimating by a computer, analysis data of each of the stocks corresponding to a coming time interval based on at least the clustering data obtained in step d); and f) determining any ones of the stocks whose analysis data estimated in step e) matches predetermined selection criteria as the target ones of the stocks; wherein, in step d): the clustering mode is one of a combination clustering mode and a permutation clustering mode; in the combination clustering mode, the clustering data of each of the stocks corresponding to an i in the permutation clustering mode, the clustering data of each of the stocks corresponding to the i