Learn how Stratify ensures data quality through automated gap detection, anomaly monitoring, and validation processes.
System identifies missing data points (gaps in OHLCV series) and triggers backfill processes.
Flags unusual values: impossible prices, zero volume trading days, extreme price jumps, data spikes.
Historical prices automatically adjusted for corporate actions to ensure accurate backtesting.
Cross-reference data from multiple sources when available. Flag discrepancies for review.
View data quality metrics and issues in the monitoring dashboard:
Percentage of symbols with complete data, gaps per symbol, data freshness.
Per-symbol quality rating (0-100) based on completeness, accuracy, and timeliness.
Notifications when data quality drops below thresholds or critical gaps detected.
