TY - JOUR
T1 - A technical analysis expert system in the stock market
AU - Yamaguchi, Takahira
N1 - Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 1989/8
Y1 - 1989/8
N2 - In order to build a technical analysis expert system for judging which names should be bought in stock market, knowledge representation is discussed. The expertise comes from two kinds of knowledge: Granville's Laws from the USA and heuristics relevant to the chart indigenous to Japan. The hit rate for buying is evaluated by means of checking that selected names increase more than five per cent through two months after the point of time when the expert system judged buying. Using past real stock price data, the experiment shows that the hit rate was 53.1 per cent on the average.
AB - In order to build a technical analysis expert system for judging which names should be bought in stock market, knowledge representation is discussed. The expertise comes from two kinds of knowledge: Granville's Laws from the USA and heuristics relevant to the chart indigenous to Japan. The hit rate for buying is evaluated by means of checking that selected names increase more than five per cent through two months after the point of time when the expert system judged buying. Using past real stock price data, the experiment shows that the hit rate was 53.1 per cent on the average.
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U2 - 10.1016/0167-739X(89)90016-2
DO - 10.1016/0167-739X(89)90016-2
M3 - Article
AN - SCOPUS:0024718079
VL - 5
SP - 21
EP - 27
JO - Future Generation Computer Systems
JF - Future Generation Computer Systems
SN - 0167-739X
IS - 1
ER -