Journal Issues

Abstract- The quality of digital financial infrastructure directly impacts the fairness of information access for market participants, which is fundamental to the sustainable development of the entire financial ecosystem. As cryptocurrency markets operate globally 24/7 without interruption, ensuring equitable access to high-quality data is essential for promoting responsible investment and reducing market inequality. This study establishes a standardized data quality assessment framework for three major cryptocurrency exchanges to explore how data quality differences affect information fairness. Through systematic data collection conducted every 60 seconds for eight consecutive hours, 463 valid Bitcoin price data samples were successfully obtained, covering major Asian and European trading sessions. The research constructs a comprehensive Data Quality Index integrating three core dimensions of consistency, freshness, and availability metrics. The consistency component measures price synchronization between platforms by calculating relative price differences with a coefficient of 50,000 to capture micro-level variations. The freshness indicator evaluates information timeliness by measuring delays between API request time and exchange data timestamps using a stringent 0.2-second threshold. The availability metric assesses service reliability through success rate calculations. The final composite index employs weighted averaging with 40% for consistency, 40% for freshness, and 20% for availability. Results reveal that Binance ranks first with 92.50 points, followed by Bitget at 88.61 points and MEXC at 85.36 points, with the 7.14-point gap directly impacting information fairness. This study provides quantitative assessment tools for building sustainable digital financial ecosystems, supporting UN Sustainable Development Goals 9.1 and 10.5.

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