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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: 3.089
Status of Thesis: Completed

Date of submission: 2009-09-30

Further Information

Sorry, no english description available!