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

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  • Qian, Ling
  • Dong, Lianjie

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.

Suggested Citation

  • Qian, Ling & Dong, Lianjie, 2025. "Convergence of Blockchain and AI in Global Finance: Cross-Border Payment Innovations and Adaptive Trading Algorithms," OSF Preprints 7qvk8_v1, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:7qvk8_v1
    DOI: 10.31219/osf.io/7qvk8_v1
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