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Direction-of-Change Forecast via Support Vector Machines (SVMs): An practical approach for trading strategy using an intelligent system

Ali Pourramedani

Information on the Thesis

Type of Final Thesis: Diplom
Supervisor: Detlef Seese
Research Group: Complexity Management

Archive Number: 3.163
Status of Thesis: Completed

Further Information

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