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Cites:

Information Journal Paper

Title

NTELLIGENT SYSTEM DESIGN TO DISCOVERING THE PIVOT PRICE USING CANDLESTICK PATTERNS AND GANN SQUARE TECHNIQUE’S (AUTOMOTIVE MANUFACTURING)

Pages

  179-199

Abstract

 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 Automotive manufacturing 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.

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  • Cite

    APA: Copy

    ABBASI, EBRAHIM, SAEEDI, PARVIZ, DIDEH KHANI, HOSSEIN, & Bagheri, Mostafa. (2018). NTELLIGENT SYSTEM DESIGN TO DISCOVERING THE PIVOT PRICE USING CANDLESTICK PATTERNS AND GANN SQUARE TECHNIQUE’S (AUTOMOTIVE MANUFACTURING). FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT), 9(36 ), 179-199. SID. https://sid.ir/paper/197528/en

    Vancouver: Copy

    ABBASI EBRAHIM, SAEEDI PARVIZ, DIDEH KHANI HOSSEIN, Bagheri Mostafa. NTELLIGENT SYSTEM DESIGN TO DISCOVERING THE PIVOT PRICE USING CANDLESTICK PATTERNS AND GANN SQUARE TECHNIQUE’S (AUTOMOTIVE MANUFACTURING). FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT)[Internet]. 2018;9(36 ):179-199. Available from: https://sid.ir/paper/197528/en

    IEEE: Copy

    EBRAHIM ABBASI, PARVIZ SAEEDI, HOSSEIN DIDEH KHANI, and Mostafa Bagheri, “NTELLIGENT SYSTEM DESIGN TO DISCOVERING THE PIVOT PRICE USING CANDLESTICK PATTERNS AND GANN SQUARE TECHNIQUE’S (AUTOMOTIVE MANUFACTURING),” FINANCIAL ENGINEERING AND SECURITIES MANAGEMENT (PORTFOLIO MANAGEMENT), vol. 9, no. 36 , pp. 179–199, 2018, [Online]. Available: https://sid.ir/paper/197528/en

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