Financial robotics, sophisticated automated systems driven by advanced algorithms and machine learning, are increasingly being used in both the accounting and foreign exchange (Forex) markets to enhance efficiency and accuracy.
In the field of Forex trading, these robots independently analyze market data, execute trades, manage portfolios accurately, and leverage real-time insights to optimize investment strategies and mitigate risk. In accounting, they have revolutionized traditional practices by automating tasks such as data entry, reconciliation, and financial reporting, ensuring compliance with regulatory standards and improving overall accuracy.
This study explores the multifaceted impact of the use of financial robots in accounting practices on foreign exchange markets, by examining their roles in improving decision-making processes, improving operational efficiencies, and ensuring regulatory compliance.
Importance of the study: The current literature reveals an acute lack of theoretical or practical research on the risks or operational safeguards of the financial robot, so the importance of this research lies in trying to fill this prominent gap in knowledge about the interaction between financial robots and accounting practices in the foreign exchange market. Its results can benefit investors, companies, regulators and policymakers, ultimately contributing to more informed decision-making and the development of strong regulatory frameworks in the financial industry.
Based on the findings, practical guidance and recommendations are provided to investors and accounting, financial and economic policymakers, with the aim of enhancing their understanding of the impact of financial robotics on exchange markets and enhancing their future financial and economic stability.