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...Stock trend analysis and trading strategy hongxinghe jie chen huidongjin shuhengchen csiromathematicalandinformation sciences gpo box canberra act australia ai econresearchcenter departmentofeconomics national chengchi university taipei taiwan abstract tion will be able to help decision making on the trad ing in market practice this paper outlines a data mining approach we report an predict of prediction prices apply it consists three steps namely parti tioning modication commonly used k means clustering algorithm is timeseriesdatapreparation partition price time series after linear regression analyse wecreate training by sliding xed length within each cluster results windowfromtimetbtote thefollowingn te tb are then for created with given window windowed efcient w tr effective at predicting forward trends s p using our methodology wtr propose ttp based some preliminary applying reported n keywords where pi i therefore create matrix or set records attributes note that all take continuo...