Building Reliable Market Signals with Point-in-Time Data

A market signal is reliable only if it could have been produced with information available at the decision time. Point-in-time controls prevent future knowledge from leaking into research, evaluation, and live operations.

Store two clocks

Every observation should distinguish event time from availability time. Event time describes the underlying event; availability time records when Quantin could first use it. Research queries should be constrained by availability time.

Retain revisions and vintages

Fundamental and macroeconomic data are frequently revised. Overwriting the original value creates unrealistic history. Preserve the initial release and subsequent revisions so a historical run can reconstruct the correct information set.

Use historical universes

A present-day instrument list introduces survivorship bias. Store index membership, delistings, symbol changes, corporate actions, and coverage history. The eligible universe should be rebuilt for every evaluation date.

Attach quality metadata

Each signal should identify its input coverage, freshness, transformation version, and known warnings. Downstream policies can then reduce exposure, request review, or stop a run when quality falls below the accepted threshold.

Signal readiness checklist

• All inputs use point-in-time availability.
• Corporate actions and instrument mappings are validated.
• Missing values have an explicit treatment.
• Feature code is versioned.
• Costs and execution delay are included in evaluation.
• Live values are compared with research values.

Monitor after deployment

Track distribution shifts, missingness, latency, and the relationship between signal strength and realized outcomes. A signal that remains statistically active may still become operationally unusable when liquidity or transaction costs change.

Point-in-time discipline is not an optional research improvement. It is the foundation that makes Market Vision results reproducible and safe to act upon.