METHODOLOGICAL FOUNDATIONS OF INFORMATION AND ANALYTICAL SUPPORT FOR THE CRYPTOCURRENCY MARKET

This research investigates the methodological foundations for developing an information and analytical support system for the cryptocurrency market. The study presents a comprehensive integrated system architecture that combines informational, analytical, and technological subsystems to ensure thorough analysis of digital asset dynamics under conditions of high volatility, decentralization, and technological complexity. The informational subsystem encompasses diverse primary data sources including exchange data, on-chain metrics, macroeconomic indicators, and regulatory information, complemented by meta-informational flows from social media sentiment analysis and expert assessments. The analytical subsystem integrates quantitative and qualitative research methods, including econometric modeling using GARCH models, machine learning algorithms, game theory applications, and specialized methodologies such as on-chain analytics and cross-market analysis. A three-tier functional architecture of analytical processes is proposed: descriptive analytics for real-time market monitoring and statistical characterization, predictive analytics employing autoregressive models and neural networks for forecasting, and prescriptive analytics for portfolio optimization and trading strategy development. The technological subsystem encompasses API interfaces, database systems, computational clusters, and algorithmic solutions for real-time data processing and distributed storage. The research identifies significant methodological challenges including epistemological problems related to limited historical data and structural shifts, as well as technical limitations concerning scalability, latency, and data quality assurance in decentralized environments. Development prospects are outlined through artificial intelligence implementation, enhanced on-chain analytics capabilities, and standardized approaches to cryptocurrency valuation for regulatory policy formation.