An effective approach for predicting daily stock trading decisions using fuzzy inference systems

To achieve success in stock trading, the ability to forecast future market behavior is crucial. Many professional traders favor traditional technical indicators as their preferred price projection method. However, making decisions based on various information sources can enhance the accuracy of mark...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Germany), 2024-02, Vol.28 (4), p.3301-3319
Hauptverfasser:	Venugopal, R., Veeramani, C., Muruganandan, S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Computational Intelligence Control Decision making Decisions Engineering Fuzzy logic Fuzzy systems Genetic algorithms Inference Information sources Investments Investors Literature reviews Market prices Mathematical Logic and Foundations Mechatronics Robotics Securities markets Soft Computing in Decision Making and in Modeling in Economics Stock exchanges Stock prices System effectiveness Trends Volatility
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