Thema3089/en
Aus Aifbportal
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: 3.089
Status of Thesis:
Completed
Date of submission: 2009-09-30
Further Information
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