Trade Ease With Machine Learning and AWS

نویسندگان

چکیده

Global trading is undergoing significant changes, necessitating modifications to the strategies. This study presents a newly developed cloud-based strategy that uses Amazon Web Services (AWS), machine learning (ML), and data science automate tasks. The begins by creating using customized deep neural network (DNN). was then tested station before deployment on cloud machine. execution of resulted in total profit 42.74526 USD, with test accuracy score 87.45% training 89.15% over 6047 epochs. roadmap provides step-by-step overview entire process from development execution. In addition, this offers insights into related issues solutions can enhance effectiveness Overall, contributes significantly field strategies opens avenues for future research.

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ژورنال

عنوان ژورنال: IEEE Access

سال: 2023

ISSN: ['2169-3536']

DOI: https://doi.org/10.1109/access.2023.3257037