Optimal portfolio and trading strategy using machine learning
This research presents machine learning models for forecasting the future returns of a portfolio from NASDAQ semiconductors assets by financial analysis, optimization, and technical analysis to form a trading strategy. The performance of the portfolio is evaluated by back-testing. Data were collecte...
Main Authors: | Ouazzane, Karim, Tang, Kai Hung Po Yung, Ghanem, Mohamed Chahine |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://repository.londonmet.ac.uk/9844/1/2024338734.pdf |
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