Define “Weekly” before you verify anything
“Weekly” usually means a time frame tied to a one-week observation window. In practice, the key is not the label itself, but the definition used in a specific context. To verify information about Weekly, first confirm what the phrase means in that context: what length of time the data represents, how boundaries are set (for example, start/end of the week), and what is being measured (for example, price bars, returns, or time-based aggregates).
A stable verification starting point is a written definition from a neutral reference (for example, educational material or documentation for the platform/tool you are using). If a description of Weekly does not specify the window boundaries and what data it summarizes, treat it as incomplete and verify those missing details separately.
Use a source hierarchy: definitions first, then mechanics, then context
A simple source hierarchy improves reproducibility:
- Core definition: Confirm the general meaning of a one-week time window. This is the part that should remain stable across discussions.
- Mechanics and inputs: Verify how the weekly window is constructed—such as how sessions align to calendar days and which timestamps drive the aggregation.
- Provider or market context (variable): Only after the definition is clear, check any claims that depend on market conditions or provider settings, such as how prices are quoted, how data is delivered, or how costs are applied.
When information mixes definition and variable behavior, split the claim into two parts: (a) what must be true for any Weekly definition, and (b) what could change by provider, jurisdiction, or time-zone handling.
Reproducible verification steps for “Weekly”
Follow these steps using only non-real-time assumptions and your own data exports.
- Lock the assumption set: Write down what you assume about the weekly window boundaries, the time zone used, and the data source.
- Recompute one weekly value from raw daily or tick data: Aggregate the underlying data into a one-week window exactly as described. Record every rule you apply (window boundaries, session handling, and whether to use last/close within the week).
- Cross-check with documentation: Compare your recomputed results with what the source claims should happen for that same window.
- Repeat for at least two separated weeks: One match can be misleading. If differences appear, identify whether they come from boundary definitions (week start) or from data processing rules.
If you cannot access raw data to recompute, verification should shift to transparency: confirm that the provider/tool exposes the window rules and allows you to reproduce how the weekly figure is produced.
Evidence example: what to verify in weekly aggregations
A material example of “verification” is checking whether the weekly aggregation is consistent with the stated mechanics. For instance, if a source says Weekly summarizes a one-week period, verify that the weekly bar (or weekly return measure) corresponds to the exact same span you would compute using the stated boundaries.
To keep this reproducible, you must define:
- the week start and end used by the data,
- the time zone governing timestamps,
- and the method for deriving the weekly measure (for example, close-to-close versus high/low aggregation).
If any of these are not explicitly stated, you cannot fully verify the claim—only partially assess it.
Limitations and failure modes to expect
Independent verification should also include at least one limitation check.
- Time-zone and boundary mismatch: Two sources can both say “weekly,” but one aligns the week differently, producing different weekly values.
- Provider-specific processing: Aggregation rules can vary (for example, how missing data is handled or which timestamp is used for the weekly bar).
- Historical relationships are not predictive: Even if weekly aggregates match perfectly in the past, that does not establish future outcomes.
- Costs and execution effects: If any information later ties Weekly to performance, outcomes can still vary with costs, execution quality, and changing market conditions.
Because of these failure modes, treat any “Weekly” claim as testable only within the exact assumptions and mechanics it specifies.
Verification checklist and next question
Use this checklist:
- Does the information define the one-week window boundaries clearly? - Does it state the timestamp basis and time zone assumptions?