Integrating Blockchain and AI in Financial Systems: A Case Study on Cross-Border Payments and High-Frequency Trading Synergies

This paper investigates the synergistic integration of blockchain and artificial intelligence (AI) in financial systems, with emphasis on security, transparency, and operational efficiency. The study analyzes blockchain’s decentralized ledger mechanism and AI’s anomaly detection algorithms in enhancing fraud prevention and regulatory compliance. It explores the application of these technologies in cross-border payments and high-frequency trading (HFT), demonstrating their impact on settlement time reduction, transaction cost minimization, and market execution precision. Case studies include the role of Ripple and Stellar in decentralized remittance systems and AI optimization in algorithmic trading strategies. The paper also addresses limitations such as regulatory divergence, technological interoperability, model risk, and cybersecurity vulnerabilities, highlighting implementation challenges in financial infrastructures.