Trade Classification Accuracy

Computation

Trade classification accuracy represents the quantitative measure of correctly identifying the initiator of a transaction as either a liquidity demander or a liquidity provider within fragmented crypto derivative markets. High precision in this metric allows analysts to reconstruct the order flow toxicity and infer the intent behind significant market movements. Computational models rely on timestamp granularity and exchange-specific order book data to assign trades to the bid or ask side, ensuring the resulting statistics remain representative of actual market pressure.