QuantPath LabsQUANTPATH LABS
Methodology
A result is useful only when its origin and limits are clear.
Data before interpretation
Document the source, market, rules, date range, version and usage permission. Check missing records, duplicates and schema changes. Unconnected data is unavailable, never zero.
Evaluation before release
Freeze the baseline and evaluation protocol, check leakage and test out of sample. Preserve reproducible evidence and a rollback path. Human approval of a report does not establish model performance.
Corrections remain visible
Keep stable content IDs, paired translations, update dates and version history. Correct both languages together. News is added only when it changes a relevant rule, dataset or research decision.