How Signal.in collects and processes events
The product monitors source articles and structured market data, then groups events into signal records that can be reviewed and ranked before public publication.
How events are mapped to sectors and companies
Signal.in connects an event to Indian sectors and listed companies through exposure logic such as input costs, export demand, policy sensitivity, logistics dependency, and known business mix.
How AI is used
AI helps summarize, cluster, and explain possible market transmission paths. It does not turn uncertain scenarios into facts, and pages must show sources before they can be indexed.
Thesis strength, convergence, and bulk-deal limits
When scores or convergence signals appear elsewhere in the product, they represent a confidence framework based on available inputs. They do not prove causation, insider knowledge, or guaranteed outcomes. Bulk-deal data can suggest activity, but it cannot prove investor intent on its own.
Known limitations
- Source coverage can be incomplete or delayed.
- Policy headlines can change before implementation.
- Market reactions can differ from thesis logic in the short term.
- Signal.in does not provide personalized investment advice.
Update frequency and corrections
Public SEO pages are updated when a record is materially revised and still meets indexability criteria. The repository currently does not expose a public corrections contact, so owners should add one later if they want external correction requests.