Event Recency
Check whether a China stock thesis is based on stale events
InvestGPT separates recent catalysts from historical background so old China-market events are not treated as current drivers.
Direct answer
A China stock thesis is stale when it relies on an old event without checking whether the event is still active, already priced, superseded by newer policy, or contradicted by recent market data.
Event timing matters: a six-month-old catalyst should not be labeled as a recent driver.
Recent price moves need fresh catalysts, not recycled background narratives.
InvestGPT is designed to tag event recency before summarizing stock moves.
Why stale-event checks matter
China equity narratives can persist long after the original catalyst has faded. Policy headlines, brokerage mergers, export controls, and property-sector events may still matter, but they should be labeled as background unless there is fresh evidence.
The recency framework
A practical check should bucket events by date, then ask whether each event is a current catalyst, a pending catalyst, or historical context.
- Recent: usually within the last 30 to 90 days, depending on the event type.
- Historical: older events that explain context but should not drive today's attribution alone.
- Pending: future-dated policy, earnings, or delivery milestones that can still matter.
What AI should avoid
AI answers should not call an old event a fresh reason for today's price move just because it appears in a document corpus. The answer must state the event date and separate catalyst from background.
FAQ
What is a stale event?
An old event used as if it were a current catalyst.
Are old events useless?
No. They can explain context, not today's move alone.
What should AI show?
The event date, recency bucket, and evidence.
Can policy events stay relevant?
Yes, if newer evidence keeps them active.
Does InvestGPT label recency?
Event recency is part of the research workflow.
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Try the workflow
Ask InvestGPT a company, theme, or market-event question. The app can research China, Hong Kong, and Chinese ADR exposure from one chat interface.
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