Intelligent System Design to Discovering the Pivot Price Using Candlestick Patterns and Gann Square Technique’s (Insurance Industry and Pension Fund)

The purpose of this study is design of Intelligent System with using of artificial intelligence techniques to discover and classified the pivot price. The pivot price is a point of price that changes the stock price trend. Use of gann-square and candlestick patterns In this research with other variables. The number of data firm used in this study is related to Insurance Industry and Pension Fund during five years from September 2012 to September 2017. Pivot price is recognized with ZigZag indicator and coded in SQLServer. The result of the research indicates the high ability of the system designed to discover and classify pivot price with a focus on the gann-square and candlestick patterns. the significance of the variables gann-square and candlestick patterns in correct classify pivot price was grater than of other variabls. Finally, the future researchers can use new approaches to analysis, including the concept of canslim and commodity markets for discovery of price pivot.