Performance evaluation of technical indicators for forecasting the moroccan stock index using deep learning
Ayoub Razouk,
Moulay El Mehdi Falloul,
Ayman Harkati
et al.
Abstract:<span>Navigating the complex terrain of financial markets requires accurate forecasting tools, underscoring the need for effective forecasting methods to assist investors and policymakers alike. This paper explores deep learning techniques for forecasting the Moroccan all shares index (MASI), a prominent indicator of the Moroccan stock market. The study aims to evaluate the performance of technical indicators in enhancing the accuracy of MASI predictions. A comprehensive dataset of daily closing prices o… Show more
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