01
Collect and group
StockNews.AI monitors public financial news, press releases, filings, analyst updates, and selected market disclosures. Related coverage may be grouped so researchers can review the event and its source trail together.
Research transparency
How StockNews.AI turns market news into a research signal.
A signal is a structured research aid built from public information. This page explains the workflow, what the scores mean, and where human verification remains essential.
02
Analyze the event
AI models summarize the reported facts, identify relevant symbols and event categories, and estimate sentiment, importance, relevance, confidence, and novelty when those fields are available.
03
Preserve context
Signals can retain publication time, first-seen time, original source URLs, grouped sources, and price-at-signal context. These fields make it easier to verify what was known and when it appeared.
04
Review, do not blindly act
Scores prioritize research; they do not predict returns. Models can miss context, sources can change, and price data can be delayed or unavailable. Review the original source and apply independent judgment before making decisions.
What the scores mean
- Importance
- Estimated significance of the reported event.
- Confidence
- Confidence in the extracted interpretation, not confidence in a future price move.
- Sentiment
- Estimated directional tone for the relevant company or market context.
- Relevance and novelty
- How directly the event relates to a symbol and how different it appears from recent coverage.
Responsible use
StockNews.AI is for informational and research purposes only. It is not personalized investment, legal, tax, or financial advice. Availability and timing vary by source, and AI-generated analysis can contain mistakes. Always verify material facts with the original publisher or official filing.