Performance-data quality: gaps and corrections

A continuous-looking chart can be built from discontinuous records. When several reporting days are missing, the line between two observations does not reveal the actual account path. Record quality and traceable corrections matter as much as presentation. Missing numbers should remain visible as missing information, not become an opportunity to improve the chart.

Identify the kind of gap

A collection outage, market closure, actual inactivity and an incomplete export are different situations. Establish which applies. If positions remain open during a closure, an unchanged displayed figure does not necessarily mean no risk or value change. Separate the last reliable observation time from the report’s generation time.

Interpolation is not an observation

Suppose account value is available on two dates but not between them. A straight line may be useful for display, yet must not be presented as observed daily values. Filling gaps with zero returns can also understate variability and drawdown. If estimates are supplied, their method and limitations should be explicit.

Sampling frequency affects risk measures

End-of-day records may miss intraday losses, while closed-trade reports can omit unrealized losses. Drawdowns calculated from different observation schedules are not automatically comparable. More data points do not necessarily improve quality when they come from incorrect or duplicated records.

Reconcile cash flows and timestamps

Deposits and withdrawals need stated times and currencies alongside account-value changes. Time-zone differences, reporting delays or duplicate transactions can alter period results. Retain original records, transformations and output versions so corrections can be traced. Agreement on the ending balance alone does not validate the calculation path.

What should a correction trail explain?

• Which value or period changed, and what did the previous version show?
• Why was it corrected, and which evidence supports the change?
• When did the correction occur, and which authorized role made it?
• Which earlier measures or conclusions are affected?
• How are readers notified of a material revision?

Do not resolve discrepancies through silent rewriting

Erasing the previous version can hinder independent review. Publishing unnecessary private information to prove a correction is not an appropriate alternative. Keep a change history with proportionate access, while public explanations provide the necessary context without exposing account secrets. Insufficient evidence should leave the matter under review.

What does inadequate quality mean for a conclusion?

Sometimes the responsible answer is that a measure is unreliable with the available information. Not every period must receive a score or ranking. Clearly limit the observable range, exclusions and comparison scope. Revised data still needs checking: labeling a report corrected does not itself establish accuracy.

When reviewing trading-account histories, ask for sources and observation frequency. The platform guides can explain review routes but cannot turn unavailable data into a verified history. This educational article makes no determination about the accuracy of a particular account report.