A Hybrid Fuzzy-Neural Model for Pattern Detection to Predict the Egyptian Stocks Price Movement Direction
In this paper, a hybrid fuzzy-neural system for Egyptian stocks price prediction is proposed. The model helps choosing the right stock mixture with the highest profit within a certain risk factor. A hybrid fuzzy-neural system is applied to significantly save effort and time of portfolio managers. Th...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2019-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2019/41/matecconf_cscc2019_03015.pdf |