Data Sanitization Procedures

Definition

Data sanitization procedures encompass the systematic protocols employed to cleanse raw datasets of noise, anomalies, and unauthorized identifiers before their ingestion into quantitative trading models. Within crypto derivatives and options markets, these mechanisms ensure that inputs remain statistically robust, preventing the propagation of corrupted data into pricing engines. By removing outliers and normalizing disparate feed formats from decentralized exchanges, firms maintain the integrity of their underlying algorithmic strategies.