000 02328nam a2200397 4500
005 20260818115028.0
008 310898 th eng
035 _a.b10030323
099 9 _aAIT Thesis no. CS-91-18
100 1 _aYu, Hairong
245 1 2 _aA genetic algorithms approach to technical analysis on stock exchange
260 _aBangkok :
_bAsian Institute of Technology,
_c1991
300 _a88 p.
490 1 _aThesis ;
_vno. CS-91-18
500 _aA thesis submitted in partial fulfi l lment of the requirements for the degree of Master of Science, School of Engineering and Technology
502 _aThesis (M.Sc.) - Asian Institute of Technology, 1991
520 _aIn this thesis, the author introduces a method that uses Genetic Algorithms (GAs ) to acquire stock trading rules on machine learning of the expert system. The learned rules support decisions of forecasting the trends of prices, index, moving average lines for buying and selling the stocks. The thesis reports results of experiments with the prototype implementation. These results indicate that Genetic Algorithmsbased learning is good to rules of stock exchange. Moreover, the thesis proposes some considerations for the application. Meanwhile, a package is designed for the customers' trading on stock exchange market.
650 0 _aStock-exchange
_xThailand
650 0 _aInvestment analysis
700 0 _aVilas Wuwongse,
_eChairperson
700 1 _aZhao, Ming,
_eExamination committee
700 1 _aHosomura, Tsukasa,
_eExamination committee
710 2 _aDeutscher Akademischer Austausch Dienst,
_eScholarship donor
810 2 _aAsian Institute of Technology.
_tThesis ;
_vno. CS-91-18
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B17340
907 _a.b10030323
_bmnait
_cx
902 _a240409
998 _b2
_c951012
_dm
_ea
_fx
_g2
945 _lmnait
945 _lmnarc
942 _c22
942 _c40
909 _aBarcode : 30050120677157
_bCREATED : 2013-11-22
_cRECORD # : i12748997
_dLPATRON : 0
_eLCHKIN : -
_f# RENEWALS : 0
_g# OVERDUE : 0
_hIUSE3 : 0
_iTOT CHKOUT : 0
_jTOT RENEW : 0
909 _aBarcode : 30050120372817
_bCREATED : 2016-08-06
_cRECORD # : i13026264
_dLPATRON : 0
_eLCHKIN : -
_f# RENEWALS : 0
_g# OVERDUE : 0
_hIUSE3 : 0
_iTOT CHKOUT : 0
_jTOT RENEW : 0
999 _c49438
_d49438