Aggregating transaction data from more than 170 exchanges

Understanding that data may be inconsistent across exchanges due to factors such as hackings, broken APIs, low liquidity levels, transaction fees, or market manipulation, our methodology implements several processes to ensure that users receive the most accurate market data. Our data accounts for a comprehensive range of parameters including outlier detection across all trades, as well as liquidity consideration to ensure that older and less liquid trades have a lesser weighting on aggregated market prices.

We publish a monthly exchange review to maintain a pool of CCCAGG exchanges that meet a minimum data standard. This exchange pool is reviewed and amended each month to ensure that the most representative and reliable market data from constituent exchanges is used in CCCAGG calculations.