Why analysis dates and data boundaries matter

An analysis date tells the system which evidence could have been known at that point. It changes the meaning of a valuation, a news event and even a technical chart. Without it, a historical report can accidentally borrow information from the future.

Treat the date as part of the question, not as a timestamp of when you opened the page. A report titled for 19 November 2024 is answering that day’s evidence set, even if you read it months later.

A report does not need an obvious error to be biased. Later financial statements, revised data, late-published articles and current prices can all make an old conclusion look more informed than it was.

TradingAgents documents date filtering for prices, fundamentals and news. That boundary is a safeguard, not proof that every data source is complete or timely. Some sentiment or prediction-market inputs may still reflect live-at-run data rather than a historical as-of snapshot.

A provider outage, unavailable field or rate limit should remain visible as missing evidence. Filling the gap with invented values would make a report look more complete while making it less reliable.

On this product, modules that did not run stay marked unavailable. That is a result you can use: it tells you the rating was formed without that evidence, not that the evidence was checked and found empty.

Compare reports only after checking the analysis date, instrument identity, enabled analyst modules, and quick/deep model configuration. Two reports about the same company may answer different time-bounded questions.