🧠APPLICATION OF AI IN TREND DETERMINATION

• Market Sentiment Analysis:

Employ natural language processing (NLP) technology to analyze market news, social media content, and expert commentary, assessing the sentiment and expectations towards specific real-world assets, which helps in capturing market trends.

• Competitive Analysis:

Conduct competitor analysis using AI to evaluate the competitive landscape among similar assets, determining which have competitive advantages and growth potential through comparative analysis.

• Supply and Demand Forecasting:

AI models can predict changes in the supply and demand of assets, including production volumes, inventory levels, and consumption trends, as these are key factors affecting asset value and price trends.

With these methods, AI helps the AISwap platform identify and select real-world assets that have genuine value and are in an ascending value trend for tokenization. This not only increases the diversity and quality of investable assets on the platform but also provides investors with potential investment opportunities based on indepth analysis, thereby optimizing investment portfolios and reducing investment risks. AI reduces the investment risks associated with RWAs, such as artworks.