Algorithmic Decision-Making in Financial Markets: An AI and Blockchain Synergy Perspective
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V2I3P103Keywords:
AI in finance, Blockchain security, Predictive modeling, Portfolio optimization, Risk management, Regulatory compliance, Smart contracts, Sentiment analysis, Algorithmic trading, Financial transparencyAbstract
Algorithmic decision-making in financial markets has been a subject of intense research and development over the past decade. The integration of Artificial Intelligence (AI) and Blockchain technology has the potential to revolutionize the way financial markets operate, offering enhanced transparency, security, and efficiency. This paper explores the synergies between AI and Blockchain in the context of algorithmic trading, risk management, and regulatory compliance. We provide a comprehensive overview of the current state of research, highlight key challenges, and propose a novel framework for leveraging these technologies to optimize financial decision-making processes. The paper also includes a detailed algorithmic model and empirical analysis to demonstrate the practical implications of the proposed framework
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References
[1] Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
[2] Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System. Bitcoin.org.
[3] Chen, X., & Chen, Y. (2019). Machine Learning in Financial Markets: A Survey. Journal of Financial Data Science, 1(1), 5-22.
[4] Cao, N., & Liu, Y. (2020). Blockchain in Finance: A Review. Journal of Financial Engineering, 7(2), 1-20.
