Revenue rankings need cadence-aware data, not just ticker keys

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A revenue ranking can shift after a data join even before companies publish new results, which is a risk when account priorities are set for an upcoming deadline. Annual and quarterly financial statements cover different reporting windows and are collected through separate paths, so flattening them together can cause scoring jobs to rank the wrong accounts. The recommended approach is to start with a bounded watchlist, disable unrelated collections, and request both cadences so that scoring policy, not collection, decides which to use. The guidance also separates starting a fresh data collection from replaying ingestion into a database, using a source run identifier only when repairing stored data. Because a full dataset download's memory cost grows with size, large watchlists should use paginated ingestion, and a finished run does not guarantee every requested account has usable financials.

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