Convergence of Blockchain and AI in Global Finance: Cross-Border Payment Innovations and Adaptive Trading Algorithms

Ling Qian and Lianjie Dong

No 7qvk8_v1, OSF Preprints from Center for Open Science

Abstract: Adaptive trading algorithms leverage artificial intelligence (AI) to enhance trading efficiency and profitability by dynamically responding to real-time market conditions. Unlike traditional strategies based on static historical patterns, these algorithms continuously learn and adjust, improving decision-making and optimizing outcomes. The integration of predictive analytics enables them to forecast market trends with high accuracy, providing traders with valuable insights. Furthermore, the convergence of AI and blockchain enhances transparency and security, enabling the automation of trading processes through smart contracts. Case studies highlight the successful implementation of these technologies in financial markets, particularly in instant payments and banking innovations. However, challenges such as technical complexities, ethical considerations, and regulatory constraints must be addressed to facilitate widespread adoption. The future of AI-driven trading and blockchain-based financial systems promises enhanced efficiency, security, and innovation across global markets.

Date: 2025-04-07
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:7qvk8_v1

DOI: 10.31219/osf.io/7qvk8_v1

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