RT Journal Article
SR Electronic
T1 Classifying Technical Indicators Using K-Medoid Clustering
JF The Journal of Trading
FD Institutional Investor Journals
SP 29
OP 39
DO 10.3905/jot.2013.8.2.029
VO 8
IS 2
A1 Eng Talal Alsulaiman
YR 2013
UL https://pm-research.com/content/8/2/29.abstract
AB The author uses the K-medoids method to classify technical indicators by implementing an empirical experiment on 18 different indicators. Analyzing 30 stocks, the author calculates the average distances between the indicators among these stocks using C# programming language. The K-medoids method was executed using R statistical package. The results show that the indicators were distributed among three different groups: the first group holds six indicators, the second group holds nine indicators, and the third group holds three indicators.TOPICS: Security analysis and valuation, statistical methods