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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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    References listed on IDEAS

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    1. Ye Bai, 2014. "Cross-border sentiment: an empirical analysis on EU stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 24(4), pages 259-290, February.
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    Cited by:

    1. Ran, Ling, 2025. "Blockchain-Integrated AI Strategies for Cross-Border High-Frequency Trading: Optimizing Liquidity and Reducing Transaction Costs," OSF Preprints knz94_v1, Center for Open Science.
    2. Baston, George, 2025. "Blockchain and AI in Global Finance: A Case Study of Cross-Border Payments in 2024 Asia," OSF Preprints te83v_v1, Center for Open Science.
    3. Xu, Lei, 2025. "Urban Resilience and Technological Integration: A Case Study on Post-Pandemic Recovery in New York City (2024)," OSF Preprints 7nqgs_v1, Center for Open Science.

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