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Predicting next day direction of stock price movement using machine learning methods with persistent homology: Evidence from Kuala Lumpur Stock Exchange

Mohd Sabri Ismail, Mohd Sabri Ismail, Mohd Salmi Md Noorani, Munira Ismail, Munira Ismail, Fatimah Abdul Razak, Mohd Almie Alias

2020Applied Soft Computing72 citationsDOI

Topics & Concepts

Stock exchangeSupport vector machineMachine learningKuala lumpurComposite indexPairwise comparisonComputer scienceArtificial intelligencePersistent homologyStock (firearms)EconometricsRandom forestMathematicsAlgorithmBusinessEngineeringFinanceMarketingMechanical engineeringTopological and Geometric Data AnalysisComplex Systems and Time Series AnalysisTheoretical and Computational Physics
Predicting next day direction of stock price movement using machine learning methods with persistent homology: Evidence from Kuala Lumpur Stock Exchange | Litcius