feed-handler-normalization

To normalize trading data feeds, this Skill ingests data with replay support and performs deterministic normalization. It ensures all real-time financial instrument feeds are processed into a consistent format before being used in trading algorithms.

Feed handler normalization standardizes data feeds for quantitative research and production controls. The mechanism validates data integrity, monitors quality metrics, and quarantines degraded feeds to ensure reliability in trading systems.

You run the feed handler normalization diagnostics script on your input.csv file and save the output to diagnostics.json. This process evaluates data quality, lineage, and ownership before publishing any normalized output.

You should quarantine degraded data feeds when continuous quality monitoring detects anomalies that fail established thresholds. This Skill prevents compromised data from being published until lineage, ownership, and quality requirements are met.

Yes, feed handler normalization supports data ingestion with replay capabilities for production controls. This allows quantitative research and trading systems to deterministically reprocess historical data feeds for validation and testing.