Data Layer

The Data Layer serves as the foundational infrastructure of the entire system, responsible for real-time collection and standardized processing of full-chain, multi-source, and multi-dimensional data.

Full-Chain Market Data: includes prices, trading volumes, order book depth, spread structures, and other metrics across trading pairs on different chains, supporting analysis across high-frequency, minute-level, and daily time windows.

On-Chain Behavioral Data: captures whale transfers, cross-chain capital flows, address clustering behavior, contract activity, and changes in capital concentration, forming quantifiable capital behavior indicators.

Social and Macro Event Data: collects real-time social media sentiment, news events, policy announcements, and macroeconomic indicators to model market sentiment and potential volatility.

Data Processing and Cleaning: performs outlier handling, missing value imputation, normalization, and feature engineering on raw data to ensure the reliability and stability of inputs for downstream models.

Technical Infrastructure: utilizes distributed message queues, event stream processing (such as Kafka / Flink), and high-performance databases to achieve millisecond-level data updates and cross-chain synchronization.

Description: The Data Layer is not only an information aggregation center, but also the foundational data provider for multi-model AI decision-making, ensuring the accuracy and completeness of full-chain state modeling.