A Comprehensive Review of Artificial Intelligence Techniques in Financial Market
作者： Oussama Mahboub , Hicham Omara , Zahra Berradi , Mohamed Lazaar
DOI: 10.1109/CIST49399.2021.9357175
关键词:
摘要: Artificial intelligence is a vast and promising domain that helps improving people's lives in different areas such as, medicine, education, telecommunication, finance, economy. The financial market an important aspect of the economics any country, by having clear idea about how it functions, to improve economy country radically and, therefore, lives. In this paper, we suggest giving latest research deep learning techniques applied on field can help investors make accurate decision. This paper gathered all recent articles related forecasting market, which includes stock index, commodity Forex. main goal find most models used recently solve prediction problem using RNN, their characteristic novelty. We will give aspects involve process beginning with preprocessing, input features, techniques, evaluation metrics employed.
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