Crypto Asset

Crypto assets, encompassing cryptocurrencies and NFTs, are a rapidly evolving field of study focusing on understanding their price dynamics, regulatory landscape, and market behavior. Current research employs machine learning techniques, including reinforcement learning (e.g., Soft Actor-Critic with CNN-MHA), natural language processing (NLP) for analyzing white papers and regulatory actions, and AI-driven analysis of on-chain parameters to predict price movements and identify risky assets. These efforts aim to improve investment strategies, enhance regulatory oversight, and provide a more comprehensive understanding of this volatile market, impacting both financial decision-making and the development of robust regulatory frameworks.